Biomes of western North America at 18,000, 6000, and 0 14C yr B.P. reconstructed from pollen and packrat midden data Robert S. Thompson1 and Katherine H. Anderson2 1 U.S. Geological Survey, Earth Surface Processes Team, Box 25046, MS980, Denver, CO 80225, USA. 2 Katherine H. Anderson, Institute of Arctic and Alpine Research (INSTAAR), University of Colorado, Boulder, CO 80303, USA. Address for correspondence: Dr. R.S. Thompson, U.S. Geological Survey, Earth Surface Processes Team, Box 25046, MS980, Denver, CO 80225, USA (fax +1 303 2365349, e-mail: [email protected]) Ms. for Journal of Biogeography, BIOME 6000 special issue. 1 March, 2000 Biome reconstructions for western North America (A) 2 ABSTRACT 1 A new compilation of pollen and packrat midden data from western North America provides a refined reconstruction of the composition and distribution of biomes in western North America for today and for 6000 and 18,000 radiocarbon years before present (14C yr B.P.). 2 Modern biomes in western North America are adequately portrayed by pollen assemblages from lakes and bogs. Forest biomes in western North America share many taxa in their pollen spectra and it can be difficult to discriminate among these biomes. Plant macrofossils from packrat middens provide reliable identification of modern biomes from arid and semiarid regions, and this may also be true in similar environments in other parts of the world. However, a weighting factor for trees and shrubs must be used to reliably reconstruct modern biomes from plant macrofossils. 3 A new biome, open conifer woodland, which includes eurythermic conifers and steppe plants, was defined to categorize much of the current and past vegetation of the semiarid interior of western North America. 4 At 6000 14 C yr B.P., the forest biomes of the coastal Pacific Northwest and the desert biomes of the Southwest were in near-modern positions. Biomes in the interior Pacific Northwest differed from those of today in that taiga prevailed in modern cool/cold mixed forests. Steppe was present in areas occupied today by open conifer woodland in the northern Great Basin, while in the central and southern Rocky Mountains forests grew where steppe grows today. During the mid-Holocene, cool conifer forests were expanded in the Rocky Mountains (relative to today) but contracted in the Sierra Nevada. These differences from the forests of today imply different climatic histories in these two regions between 6000 14C yr B.P. and today. 5 At 18,000 14C yr B.P., deserts were absent from the Southwest and the coverage of open conifer woodland was greatly expanded relative to today. Steppe and tundra were present in much of the region now covered by forests in the Pacific Northwest. Key words: packrat middens, pollen data, plant macrofossil data, plant functional types, biomes, vegetation changes, western North America, last glacial maximum, mid-Holocene Biome reconstructions for western North America (A) 3 INTRODUCTION Biomes represent broad physiognomic vegetation types that are based on the co-occurrence of plant species that respond individualistically to climatic gradients and climatic change. Biomes depict vegetation formations on a global basis based on the structure, physiognomy and climatic adaptations of the plant functional types of which they are composed (Prentice et al., 1992). Plant functional types (PFTs) are collections of plant taxa grouped by stature, leaf form, phenology and climatic adaptations. The characterization of vegetation in terms of biomes provides the basis for modelling past and future vegetation changes (e.g. Harrison et al., 1995; Kutzbach et al., 1998; Neilson et al., 1998) and using the same terms for vegetation from different regions facilitates comparisons between the results of numerical climate modelling and evidence of past vegetation (e.g. Jolly et al., 1998a; Joussaume et al.,1998; Williams et al., 1998). Prentice et al. (1992) provided the original definitions of PFTs and biomes used in this paper. Subsequent regional syntheses for Europe (Prentice et al., 1996), the former Soviet Union and Mongolia (Tarasov et al., 1998), China (Yu et al.,1998; Yu et al., this issue), Africa and Arabia (Jolly et al., 1998b; Elenga et al., this issue), Beringia (Edwards et al., this issue), and Canada and the eastern United States (Williams et al.,1998, this issue) refined these definitions and methodology, and extended them into a wide range of climatic and vegetational circumstances. In this paper, we use pollen and plant macrofossil data to portray biomes in western North America at 18,000 radiocarbon years before present (18,000 maximum or LGM), 6000 14 C yr B.P. (the mid-Holocene), and 0 14 C yr B.P.: the last glacial 14 C yr B.P. (today). We discuss the changes in biomes between these time periods in terms of broad-scale changes in climate. Western North America is treated separately from Canada and the eastern United States for the following reasons: (1) it has an endemic flora that differs from those of Canada and the eastern United States; (2) it has a unique data source (packrat middens) and palynological settings in desert and mountain environments that are different from the other two regions; (3) its climate has sharp gradients, is generally more arid than that of the eastern United States, and its winter temperatures are generally milder than those of Canada or the northeastern and midwestern United States; and (4) its mountainous terrain requires special data analysis and can limit interpolation among sites. (B) Modern climate and vegetation The modern climate of western North America has strong geographic and elevational gradients in both temperature and precipitation (Fig. 1). Winter precipitation from the North Pacific supports wet environments in the Pacific Northwest, along the coast of California and in the northern Rocky Mountains. Rain shadows associated with the Sierra Nevada, Transverse and Cascade Ranges cause aridity in the Biome reconstructions for western North America 4 interior western United States. This aridity is offset in some areas near the Mexico-United States border and in the southern Rocky Mountains by summer monsoonal rainfall from subtropical sources. Seasonal and diurnal temperature ranges are low in coastal regions, but are high in many parts of the arid and semiarid interior. These geographic gradients of climate interact with the mountainous physiography of western North America to create a mosaic of forest, woodland, steppe/grassland, and desert vegetation. These patterns are depicted in Fig. 2, where the categories representing potential natural vegetation from Küchler (1964) have been grouped (Table 1) to approximate the biomes defined by Prentice et al. (1992). These categories are based on observations of the current and historic vegetation and are purposefully simplified to facilitate comparison between the fossil and modern data (for example, grassland and steppe are merged here as it is difficult to distinguish these in the fossil record). (A) DATA AND METHODS (B) Pollen data Pollen records provide quasi-continuous evidence of vegetation change through time. These data are quantified as percentages of each taxon for each spectrum in the record; however, modern pollen percentages frequently do not have linear relationships with the abundances of species within the terrestrial vegetation. Pollen data are generally of low taxonomic resolution, and can usually be identified only at the family or genus level. Fossil pollen data have been the primary source of information on biomes in other regions, and their inclusion here allows some degree of comparability with previous studies. The pollen data included here are from original counts wherever possible, or were digitized from published diagrams when counts were unavailable. Raw pollen counts appear to provide a better discrimination between non-arboreal biomes (Jolly et al., 1998b; Yu et al., this issue), but digitized data have been used to reconstruct biomes successfully in other regions (e.g. Prentice et al., 1996; Tarasov et al., 1998; other papers in this issue). (B) Packrat midden data Packrats (Neotoma spp.) are small rodents that collect leaves, sticks, fruits and other materials from the area within tens-of-meters of their nests and bring these items into their homes for food, nesting material, etc. Through time their nests can become cemented by their desiccated urine, and in dry caves and rockshelters in western North America these urine-cemented "packrat middens" can be preserved for tens-of-thousands of years (see papers in Betancourt et al., 1990 for further discussion). Packrat middens are unique to western North America, although similar deposits left by other animals have been found in arid regions in the Middle East, South America, South Africa and Australia (Betancourt et al., 1990). Plant remains from packrat middens: (1) can generally be identified to the species level, and a given midden plant assemblage appears to provide a detailed inventory of the species growing within 50m (or less) of the packrat’s nesting Biome reconstructions for western North America 5 site; (2) are extremely well-preserved and provide excellent material for radiocarbon dating; and (3) occur in assemblages that appear to represent a short interval of time, perhaps as short as the few years of an individual packrat’s lifespan. In sum, packrat middens provide a detailed inventory of plant species for short intervals of time in the past. Although vegetation assemblages preserved in packrat middens have been studied since the 1960s, no uniform method of quantification has been developed, and indeed there have been more quantification schemes than investigators in the field. In any case, there is little evidence that relative abundance within the assemblages has much meaning, except to indicate the past presence or absence of a given plant species at a given midden site. In this paper we used data from the original publications (USGS/NOAA NGDC Packrat Midden database) and converted the various quantification schemes into a simple four-digit scale where: 0 = absent, 1 = rare (and possibly a contaminant); 2 = present; and -9 = cannot determine presence or absence (this usually pertains when the original investigator published an incomplete list of plant species and it is thus not possible to determine if something is really absent). Packrat middens with very few reported taxa were omitted from the analysis. (B) Data sets Modern pollen assemblages were obtained for 66 sites (Table 2). Raw pollen counts were obtained for 16 sites, and digitized data were used for the rest. Modern (and near-modern) packrat midden assemblages (35 samples) were obtained from 18 sites (Table 3). To facilitate comparisons with the older time slices, we used only the core tops of pollen sediment cores for the 0 14 C yr B.P. time horizon. We did not use the diverse array of surface samples available for western North America. For packrat middens, we used all samples with radiocarbon ages within the last 1000 radiocarbon years. The data set for 6000 14C yr B.P. consists of 76 pollen sites (Table 2), of which 14 were obtained as raw pollen counts and 62 were digitized, and 34 packrat midden assemblages (23 sites) (Table 3). The data set for 18,000 14C yr B.P. consists of 21 pollen sites (Table 2), of which 7 were obtained as raw pollen counts and 14 were digitized, and 17 packrat midden assemblages (13 sites) (Table 3). With original pollen data for the 6000 14C yr B.P. time slice we used the pollen spectrum closest to 6000 14C yr B.P., whereas for the digitized pollen data we interpolated to determine the approximate 6000 14 C yr B.P. level. With packrat midden data for 6000 14C yr B.P., we included all samples dated within 1000 radiocarbon years of 6000 14C yr B.P. (in other words, those samples that dated between 7000 and 5000 14C yr B.P.). The same protocols were followed for the 18,000 14C yr B.P. time slice. Biome reconstructions for western North America (B) 6 Method of assigning biomes to pollen and packrat midden assemblages (biomization) The biomization procedure has been fully described by Prentice et al. (1996) and Prentice & Webb (1998). There are four steps in the biomization procedure: (1) assignment of individual plant taxa to plant functional types (PFTs); (2) specification of the set of PFTs that can occur in each biome; (3) calculation of the affinity score of a given vegetation assemblage to every biome; and (4) assignment of the vegetation assemblage to the biome for which it has the largest affinity score. In cases where the affinity score for two or more biomes is equal, a tie-breaking rule is applied to determine the biome attributed to the sample, following Prentice et al. (1996). We prepared separate plant taxon-PFT matrices for pollen (Table 4) and for packrat midden assemblages (Table 5) based on our knowledge of the ecology and biology of the individual plants, and on the descriptions of the flora and vegetation given in Benson (1982), Benson & Darrow (1981), Kearney & Peebles (1960), Little (1971, 1976, 1977), Thompson et al. (1999a, 1999b) and Turner et al. (1995). The pollen matrix includes 74 individual pollen taxa and the packrat midden assemblage matrix includes 418 individual species. We began with the PFT classification based on pollen data used for Europe (Prentice et al., 1996) and subsequently tested and modified for other northern hemisphere regions (e.g. Jolly et al., 1998b; Tarasov et al., 1998; Yu et al., 1998; Williams et al., 1998), and modified the pollen to PFT assignments to fit the North American situation. The PFT definitions, the assignment of individual pollen taxa to PFTs, and the assignment of PFTs to biomes are broadly consistent with the definitions used in adjacent regions of north America by Williams et al. (this issue) and Edwards et al. (this issue). There are difficulties with the pollen-to-PFT relation in western North America for conifers, as many pollen taxa include both boreal and temperate species (most notably Picea, Abies and Larix). In Eurasia, Larix and Picea are confined to the boreal zone (Prentice et al., 1996; Tarasov et al., 1998). However, both taxa also occur in more temperate settings in North America (Little, 1971; Thompson et al., 1999a, 1999b). For example, Larix lyallii and L. occidentalis both live in temperature environments in the interior regions of the Pacific Northwest, while Picea sitchensis occurs in temperate coastal forests from southern Alaska to northern California. We therefore allowed Larix to occur as both a boreal summergreen conifer (as in Eurasia) and a cool-temperate conifer, while Picea was classified as both a boreal evergreen conifer (as in Eurasia) and a cool-temperate conifer. The species-level identifications of the midden plant macrofossils led us to define five new PFTs: woodland conifer (wc), woodland shrub (ws), frost-sensitive desert shrub or succulent (ds2), desert shrub or succulent (ds) and steppe shrub (ss). Woodland conifers include pinyon pine and woodland juniper, whereas the Biome reconstructions for western North America 7 woodland shrub PFT includes species in the genera Amelanchier, Berberis, Cercocarpus, Cowania, Fraxinus, Garrya, Prunus and Ribes, among others. Frost-sensitive desert shrubs or succulents include plants characteristic of the present-day Sonoran Desert, including species in the genera Agave, Bursera, Cereus, Cercidium and Ferocactus, among others. The desert shrub PFT includes less-frost-sensitive species including species in the genera Acacia, Celtis, Coleogyne, Dalea and Ephedra. Steppe shrubs include species in the genera Artemisia, Atriplex, Chrysothamnus, Ephedra, Gutierrezia and Grayia, among others. We created a PFT to biome matrix (Table 6) to assign the PFTs in Tables 4 and 5 to the biomes defined in Prentice et al. (1992) and Prentice et al. (1996). In the case of tie-breaks, biomes are assigned in the order they appear in Table 6. We identified a new biome (open conifer woodland: OC) to represent the pinyon-juniper woodlands and subalpine conifer woodlands of the American Southwest, Great Basin and Colorado Plateau. This biome is characterized by the co-occurrence of eurythermic conifer, woodland conifer, woodland shrub, steppe shrub and steppe forb PFTs. The biome occurs in dry conditions near the lower moisture requirements of conifers, and is associated with colder conditions than the xerophytic woods/scrub biome in Europe (Prentice et al., 1996), Africa (Jolly et al., 1998b) and southern California (see discussion above). The open conifer woodland biome can be identified from both pollen and midden data. The biomization procedure required some modifications when applied to the packrat midden data. In particular, the highly localized sampling area represented by packrat midden assemblages, coupled with the depauperate arboreal flora of much of the region, means that they characteristically contain relatively few fossil remains from trees and shrubs but an abundance of material from forbs, many of which may have been represented by only a few individual plants. If the standard method of calculating affinity scores was applied in this situation, it would be extremely difficult to generate assignments to arboreal biomes. We therefore applied a weighting scheme to the packrat midden assemblages, whereby tree macrofossils were given a weighting of 3, shrub macrofossils were given a weighting of 2 and forbs were given a weighting of 1. These weighting factors were determined through experimentation: we tried several schemes and selected the weightings that provided the best biomization of present-day midden assemblages when compared with the mapped modern extents of biomes interpreted from the Küchler (1964) map of potential natural vegetation in North America. Except for these weighting factors, the calculation of affinity scores and the assignment of packrat midden samples to biomes was done in the standard way. Biome reconstructions for western North America (A) RESULTS (B) Predicted vs observed modern biomes 8 Pollen data provide the evidence for biome reconstructions in the more northerly and higher elevation biomes (Fig. 3), whereas packrat middens are largely restricted to the Southwestern deserts, Great Basin and Colorado Plateau. The pollen- and macrofossil-based reconstruction of modern biome distributions (Fig. 3) corresponds reasonably well with the observed patterns in vegetation distribution (Küchler, 1964; Fig. 2). The desert, steppe, conifer forest and taiga vegetation are correctly placed geographically. The predicted and observed geographic patterns for selected biomes are as follows: Tundra. Only one pollen site (Little Lake, OR; Worona & Whitlock, 1995) is reconstructed as representing this biome and it occurs within a present-day region of cool conifer forest. This misassignment is due to the high percentages of Alnus, Cyperaceae and Poaceae that occur at this site, presumably due to historic land use. Taiga. It is difficult to use pollen data to discriminate among the taiga, cool conifer forest, cold mixed forest and cool mixed forest biomes in western North America. However, biomization of the modern pollen data do result in the correct placement of taiga along the Idaho/Montana border and in south-central Utah. Cold deciduous forest. The core-top pollen spectrum from Waits Lake, WA (Mack et al., 1978), in a region of present-day cool conifer forest, is incorrectly assigned to the cold deciduous forest biome. This biome has an identical taxon list with the taiga, cool conifer, cold mixed and cool mixed forest biomes, except that the cold deciduous forest biome lacks Picea and Abies. The Waits Lake surface spectrum is dominated by Pinus pollen with significant representations of Alnus and Larix. The allocation to cold deciduous forest occurs because Abies is present in a very small amount and Picea is absent. Cool conifer forest. Cool conifer forest is correctly reconstructed from pollen spectra in the Pacific Northwest and Sierra Nevada, as well as in the northern panhandle of Idaho and in adjacent Montana. However, in the Yellowstone (Wyoming) region, Colorado and Utah, modern core-top pollen spectra from this biome (as mapped in Fig. 2) are often misassigned to the open conifer woodland biome. Pinus, the most prolific pollen producer in western North America, is present in both cool conifer forest and open conifer woodland as is Cupressaceae, which in these regions is represented by the genus Juniperus (another abundant pollen producer). Cool conifer forest includes many taxa not present in open conifer woodland, including: (1) coniferous forest trees (Abies, Pseudotsuga, Picea); (2) riparian hardwoods with restricted geographic coverages and low representations in pollen spectra in these regions (Alnus, Betula, Cornus, Corylus, Salix); and (3) taxa that are poorly recorded in pollen spectra (Ericaceae, Populus, Shepherdia Biome reconstructions for western North America 9 canadensis). Our data set indicates that most sites in these cool conifer forests have less than 1% Pseudotsuga (although this tree is common in these forest), and at most only a few percent of Abies and only rare Picea. The under-representation of major taxa in the pollen assemblage makes it difficult to obtain a correct biome assignment. For example, Edwards et al. (this issue) have shown that it is difficult to correctly predict the extent of the Larix-dominated cold deciduous forests in eastern Siberia because Larix is chronically under-represented in the pollen record. The cool conifer forest samples in the Rocky Mountains have an additional problem in that they contain significant amounts of Artemisia, Poaceae and other steppe taxa. These taxa occur in open conifer woodland but not in cool conifer forests. Their occurence at high elevation sites in the Rocky Mountains is presumably due to pollen blown upslope from lower elevation habitats. Collectively, the under-representation of key species of the cool conifer forest and the presence of steppe taxa in the pollen spectra results in the misassignment of samples to the open conifer woodland biome. Open conifer woodland. The distribution of open conifer woodland (Fig. 2) is reasonably well captured in the biome reconstruction (Fig. 3), although pollen-based reconstructions overestimate the extent of the biome in the central and northern Rocky Mountains. Pollen spectra in modern steppe/grassland environments in eastern Washington, western Montana, central Wyoming, northeastern Colorado and the Great Basin are also mistakenly categorized as open conifer woodland. This is the reverse of the situation described in the preceding paragraph, as here the long-distance blow-in of Pinus pollen (e.g. Mack & Bryant, 1974) combined with the local steppe/grassland taxa in the pollen spectra, results in a wrong assignment to open conifer woodland. Packrat midden assemblages, with their species-level inventory of plant remains, do not suffer the same problems as pollen data in representing this biome. Xerophytic woods/scrub. The single midden-based reconstruction of xerophytic woods/scrub in California is correctly placed. There are no pollen or midden records yet from the larger area of present-day xerophytic woods/scrub in southern California (Fig. 2). Steppe/grassland. There are cases where the biomization of pollen data results in an incorrect categorization of steppe or grassland as open conifer woodland due to long-distance transport of conifer pollen. In other cases, such as the Ruby Marshes in northeastern Nevada (Thompson, 1992), the pollen site itself is located in steppe, but woodland vegetation occurs within a few kilometers. Here the steppe/grassland and open conifer woodland biomes form a mosaic, and we do not consider this to be a failed biomization from a regional perspective. Desert. The modern hot deserts of the American Southwest and northwest Mexico are recorded only in packrat midden assemblages, as this environment is typically too arid for lakes. The present-day desert biome is correctly placed by the midden data, even in a situation such as the Grand Canyon where pockets Biome reconstructions for western North America 10 of modern desert occur (and are correctly reconstructed from the midden data; Table 3, Fig. 3) but are too small to appear on the present-day vegetation map (Fig. 2). 0 14 C yr B.P. Summary. Although there are minor problems with the assignment of individual sites to biomes, it is clear that the biomization technique adequately captures the complex patterns in the vegetation of western North America and thus can be used to reconstruct past changes in vegetation distribution with some confidence. However, there are problems, including: (1) the differing taxonomic resolution and spatial coverage of pollen spectra and packrat midden plant assemblages affect the results in that middens provide an extremely local but taxonomically precise view of biomes, whereas pollen data provide a more taxonomically generalized and regional perspective (especially in mountainous regions where significant amounts of pollen from one vegetation association can blow into another); (2) present-day land use can skew pollen assemblages and lead to misassignments of surface pollen samples to biomes; (3) the depauperate tree flora can make it difficult to segregate forest biomes, particularly because trees such as Picea and Abies occur in both boreal and temperate plant assemblages; and (4) certain pollen types that are key markers for specific biomes (e.g. Pseudotsuga, Larix, and Abies) are under-represented in pollen assemblages. The taiga, cool conifer, cold mixed and cool mixed forest biomes in western North America are difficult to differentiate on the basis of pollen assemblages. All four share the following taxa: Abies, Alnus, Betula, Cornus, Cupressaceae, Ericaceae, Larix, Larix/Pseudotsuga, Myricaceae, Picea, Pinus, Populus, Salix, Shepherdia canadensis and the combined taxon Taxodiaceae/Cupressaceae/Taxaceae. In their original definitions (Prentice et al., 1992, 1996), the cold mixed forest biome was characterized by the presence of the ctc1 PFT (see Table 5 for key to abbreviations), whereas cool conifer forests were characterized by the bec PFT. In Europe, obligate ctc1 taxa (e.g. Cedrus and Taxus) are not common in the pollen records and the distinction between cold mixed and cool conifer forests largely rests on the presence of obligate bec taxa such as Picea and Pinus (Hyploxylon). Undifferentiated Picea is not confined to ctc1 in western North America because it is also considered a cool-temperate conifer, and Pinus (Hyploxylon) in this region covers a range of environments from subalpine to open conifer woodland. Consequently, for western North American pollen records, the cool conifer and cold mixed forest biomes have identical taxon lists and are assigned to the cool conifer forest biome. The pollen-based definition of the taiga biome lacks Corylus, Pseudotsuga, Taxaceae, Taxodiaceae and Tsuga, taxa that are present in the cool conifer, cold mixed and cool mixed forest biomes. Most palynologists have not distinguished Pseudotsuga from Larix, nor Taxaceae and Taxodiaceae from each other or from Cupressaceae. Corylus is rarely recorded, and is never abundant, in western pollen records. In practice, then, it is the presence, absence, or abundance of Tsuga pollen that allows us to distinguish taiga from the other three biomes. Tsuga is present only in the northern Rocky Mountains, Cascade Range and Biome reconstructions for western North America 11 Sierra Nevada, so it is only in those regions that one could potentially differentiate taiga from the other forest biomes. The cool mixed forest biome includes several taxa that are not present in the other three forest biomes: Acer, Ceanothus, Fraxinus, Quercus, Rhamnus. These taxa are usually found in minor amounts in pollen records in western North America, and it is probable that in most cases the cool mixed forest biome cannot be reliably separated from the other three forest biomes. The mountainous terrain of western North America may further confound attempts to differentiate taiga, cool conifer, cold mixed and cool mixed forest biomes in pollen spectra. Wind-blown pollen can be translocated from one vegetation association to another in a short geographic (but perhaps large elevational) distance. In addition, many of the potentially distinctive taxa for these biomes are poor pollen producers (e.g. Acer, Ceanothus, Corylus, Fraxinus and Rhamnus) and may not be recorded in pollen spectra from their native vegetation. The taxonomic resolution of packrat midden macrofossil assemblages makes it possible to segregate the species characteristic of the forest biomes. Unfortunately, packrat middens are not preserved in wet environments, and although cool conifer and cold mixed forest biomes are recognized in fossil middens, the vast majority of the midden assemblages reflect open conifer woodland, steppe and desert biomes. (B) Western North American biomes at 6000 14C yr B.P. The predicted distribution of biomes across western North America at 6000 14C yr B.P. (Fig. 3) is similar to the modern distribution, in that forests were established in the Pacific northwest, open conifer woodland occurred in the central Great Basin and the southwestern deserts had reached their modern configuration. However, there are subtle regional differences between the reconstructed biomes at 6000 14C yr B.P. and the modern vegetation patterns. Three biomes were reconstructed from pollen data at one site each for 0 14C yr B.P. (cold deciduous forest, xerophytic woods/scrub, and, incorrectly, tundra), and none of these was reconstructed from the 6000 14C yr B.P. data. The other biomes reconstructed for 0 14C yr B.P. were present at 6000 14C yr B.P. in western North America and are discussed below. Taiga. Taiga is rare in the 0 14 C yr B.P. reconstruction (Fig. 3) but is present at several sites in northern Idaho and adjacent eastern Washington and western Montana at 6000 14C yr B.P. (Fig. 3). Relatively small changes in pollen percentages occurred at the sites where taiga was replaced by cool conifer forest between 6000 and 0 14 C yr B.P. The key factor appears to be the arrival of, or increase in, Tsuga pollen in these records. Although this genus is present at relatively low levels (1 to 5%) in the modern spectra, the presence of this key taxon is decisive in discriminating cool conifer forest from taiga. Biome reconstructions for western North America 12 At Waits Lake (Mack et al., 1978b), taiga at 6000 14C yr B.P. was replaced by cold deciduous forest at 0 14 C yr B.P. These two biomes share all PFTs except bec (Tables 4 and 6), which is represented only by Abies and Picea in western North America. At Waits Lake, Abies was present at approximately 1% in the mid-Holocene and was absent in the modern spectrum, and this minor difference caused the shift from one biome to another. At the Lost Trail Pass Bog site in western Montana (Mehringer et al., 1977) slightly higher levels of Larix/Pseudotsuga pollen at 6000 14 C yr B.P. resulted in identification of cool conifer forest, and its decline to modern levels led the biomization procedure to identify taiga (which lacks ctc) from the present day spectrum. Taiga was identified in southern Utah at both 0 and 6000 14C yr B.P. (Fig. 3). Cool conifer forest. Fossil pollen data indicate that this biome attained its modern extent in the Pacific Northwest prior to 6000 14 C yr B.P. (Fig. 3), and was also present in western Montana. It apparently covered more area than today in parts of Colorado and northeast Arizona because it was reconstructed for sites that were identified as having open conifer woodland at 0 14 C yr B.P. (although, as previously 14 discussed, the reconstructions for 0 C yr B.P. are probably in error; the sites today host a depauperate form of cool conifer forest). For several of the Colorado pollen records (e.g. Cottonwood Lake and Keystone Iron Bog: Fall, 1985, 1988), Picea and Abies pollen grains were more abundant at 6000 than at 0 14 C yr B.P., and declined as Pinus and Artemisia increased through the late Holocene. This taxonomic shift from greater ctc pollen taxa to increased ec and ss pollen resulted in the change in biomes reconstructed between the two time periods. The opposite trend occurred in the Sierra Nevada of California, where open conifer woodland was replaced by cool conifer forest after 6000 14C yr B.P. at several sites. Here ctc pollen taxa (Abies, Tsuga) arrived or increased between the mid- and late Holocene, while Pinus pollen declined. Open conifer woodland. In the Great Basin and Colorado Plateau regions, open conifer woodland occupied essentially the same area at 6000 14 C yr B.P. that it occupies today. In southeastern Idaho and adjacent Wyoming, steppe was present at a few sites occupied today by woodland. In the 0 14C yr B.P. reconstruction (Fig. 3), depauperate cool conifer forests in the Rocky Mountains were incorrectly reconstructed as open conifer woodland. This is probably also the case in the same region for 6000 14C yr B.P. Steppe/grassland. Pollen data indicate that this biome had the same geographic range at 6000 14C yr B.P. as it has today in the Great Basin, eastern Washington, Wyoming and on the Great Plains. Desert. Biomization of packrat midden plant assemblages indicate that the Southwestern deserts had attained their modern northern limits by 6000 14C yr B.P. 6000 14 C yr B.P. Summary. Pollen and packrat midden data indicate that the mid-Holocene biomes of western North America were similar to those of the present day. Cool-temperate conifer (ctc) trees were Biome reconstructions for western North America 13 more abundant than today in pollen records in the Colorado Rockies, but less abundant in records in the interior of the Pacific Northwest and in the Sierra Nevada. Small shifts in the percentages of these trees between the two time periods caused apparent changes in biomes through time, although the overall region covered by conifer and mixed forests remained essentially the same between the two time periods. Steppe/grassland and desert biomes at 6000 14C yr B.P. occupied largely the same areas as they do today. (B) Western North American biomes at 18,000 14C yr B.P. While the environments of western North America appear to have been quite similar at 0 and 6000 14C yr B.P., they were radically different at the last glacial maximum (LGM, 18,000 14C yr B.P.). During the LGM, the Laurentide Ice Sheet covered most of what is now Canada and montane glaciers were present in many of the western mountains. Large lakes were present across the Great Basin and in parts of the Southwest (e.g. Thompson et al., 1993). The reconstructed vegetation patterns were also very different (Fig. 3). The taiga and desert biomes were apparently absent. The remaining biomes are discussed below: Cool conifer, cold mixed, and cold deciduous forests. In the Pacific Northwest, biome reconstructions from pollen data indicate that the areas of modern conifer and mixed forests were largely occupied by steppe (although bec elements were present) and perhaps even tundra at the LGM (Barnosky et al., 1987). However, cool conifer forests were present in western Oregon. This biome, along with cold mixed and cold deciduous forest, was identified from plant macrofossils in packrat middens from various elevations in the eastern Grand Canyon (Fig. 3). Open conifer woodland. Pollen and packrat midden data both indicate that this biome had a greatly expanded range (relative to today) at the LGM, suggesting that the vegetation at that time was very open. The open conifer woodland biome occurred within its current range in the Great Basin and Colorado Plateau, and was also present in the modern desert regions of the Southwest. Pollen records indicate its presence in Colorado and Wyoming, and there is little evidence that these are misassigned cool conifer forests as were the Holocene sites in these states. Cool-temperate conifers (ctc) are largely absent from macrofossil records in the interior north of the Grand Canyon, so essential elements of the cool conifer forests appear to have been missing. In the Great Basin and surrounding areas, the LGM open conifer woodlands were characterized by subalpine pines and by prostrate juniper with steppe plants. These woodlands were comprised of woodland conifers (pinyon pines and woodland junipers) in association with steppe and cold-tolerant desert elements in those areas that are desert today. Xerophytic woods/scrub. Warm-temperate sclerophyll scrubs (wte2) were recovered from late Pleistocene packrat middens on the western side of the southern Sierra Nevada in California, near sites where these Biome reconstructions for western North America 14 plants grow today. Warm-temperate sclerophyll scrubs have not been recovered from LGM sites elsewhere in western North America. Tundra. This biome was reconstructed for one site in western Washington, in a region where other sites were reconstructed as steppe (Fig. 3). The presence of lemming and reindeer fossils in southern Idaho and geomorphic evidence of frost wedges in Wyoming (Thompson et al., 1993 and references therein) suggests that this biome may have been more widespread in the northern interior of western North America than indicated by the currently available botanical data. Steppe/grassland. Steppe elements were present in LGM vegetation across western North America during LGM time. However, eurythermic conifers were present (at least regionally) in the present domain of steppe in the Great Basin and surrounding region, so pollen and macrofossil data from this region are classified as open conifer woodland (Fig. 3). Steppe is reconstructed for the LGM for the presently tree-covered western Washington. (B) Climatic implications of changes in biomes The correspondence of biomes interpreted from the Küchler (1964) map of potential natural vegetation map (Fig. 2, Table 1) with climatic parameters (MTCO: mean temperature of the coldest month; GDD5: growing degree days on a 5°C base; and α: a moisture index ranging from 0=extremely dry to 1=extremely wet based on Thornthwaite and Mather 1955, 1957) are shown in Figs 4 and 5 and in Table 7. These climatic data were obtained by using a 25-km equal-area grid of present-day climate values (Bartlein et al., 1994; Thompson et al., 1999a, 1999b) and assigning each grid point in western North America to a biome based on the Küchler (1964) map. Tundra is restricted to mountain tops and occurs where MTCO is less than -2.5° C, GDD5 is less than 1000 and α is generally above 0.75. The GDD5 upper limit for tundra seems high when compared to other regions (cf Prentice et al., 1992); this could reflect the difficulty in estimating present-day climate at high elevations from the nearest low-elevation sites. However, preliminary analysis of tundra in Alaska suggests that tundra in that region commonly occurs with GDD5 values as high as 500 to 750. The cool conifer forest biome is the most widespread forest vegetation in the western United States and occurs under a variety of climatic conditions (Table 7). It can occur under somewhat colder winter temperatures, and generally requires more moisture, than open conifer woodland. Open conifer woodland is comprised of eurythermic conifers and steppe plants and can survive under colder conditions than xerophytic woods/scrub and drier and warmer climates than cool conifer forest. Xerophytic woods/scrub vegetation cannot survive freezing temperatures and, as its name implies, grows under warm and dry conditions. Biome reconstructions for western North America 15 Grassland and steppe are not distinguished as separate biomes in our reconstructions based on pollen and macrofossil data. However, they are segregated on the Küchler (1964) map (Fig. 2), and Figs 4 and 5 illustrate their climatic differences. Grassland occurs on the Great Plains, in parts of the Southwest, in the Central Valley of California and in the interior Pacific Northwest. Steppe is widespread across the semiarid interior of the western United States from the Great Plains to the lee of the Sierra Nevada and Cascade Ranges. Grassland survives under a wide variety of winter temperatures (MTCO -15 to 10° C), and is associated with GDD5 2000 to 4500 and α of 0.4 to 0.7. Steppe overlaps with grassland in its climatic tolerances, but can live in drier environments (α as low as 0.15), has lower GDD5 requirements (GDD5 as low as 1000) and does not occur under warm winter conditions (MTCO is below 0°C). Desert occurs in the Southwest and in southeastern-most California. It has lower moisture requirements than steppe and grassland (α between 0.05 and 0.4), higher GDD5 requirements (3000 to 6000) and MTCO above freezing. The climates associated with our 0 14C yr B.P. reconstructed biomes are illustrated in Fig. 6 (see also Table 7b). Where we do not have precise elevational data for a site, we associated the climate of the closest gridpoint on our 25-km grid with the pollen or packrat midden site. Climatic “envelopes” for the Küchlerbased biomes were visually interpreted from Fig. 4 and are included on Fig. 6 to allow comparisons of the climates of the Küchler-based biomes and the reconstructed biomes. The left-hand panels of Fig. 6 illustrate the reconstructed climates for the cool conifer forest localities. Nearly all of the sites identified as belonging to this biome fall within the climate envelope from the Küchler-based biome, and thus it appears that the biomization assigns these surface pollen samples correctly. The central panels of Fig. 6 plot the climates for the 0 14C yr B.P. sites that were reconstructed as having open conifer woodland vegetation. In these panels the climatic envelopes (from Fig. 4) for this biome are shown, along with those for cool conifer forest. Many sites in modern cool conifer forest in the northern Rocky Mountains were incorrectly placed in open conifer woodland by the biomization procedure. The data in Fig. 6 show these sites occurring within the moisture requirements of the cool conifer forest biome (which exceed those of open conifer woodland) but at the cold end of the cool conifer forests. Inspection of these data indicate that the cool conifer forest sites that are misidentified as open conifer woodland occur near the lower limits of the forest in relatively dry regions of northeastern Nevada, central Utah, and western Colorado. At the cold end of its tolerance many of the ctc trees are absent from this biome, and pollen spectra converge on those of the open conifer woodland. The right-hand panels of Fig. 6 illustrate the apparent modern climates of sites reconstructed as steppe/grassland or desert biomes at 0 14 C yr B.P. In this plot the steppe/grassland and desert samples adhere closely to the freezing-line divide apparent in the Küchler-based data. However, sites within both Biome reconstructions for western North America 16 biomes appear to exceed the permissible values for the moisture index. Here the assignment of nearest gridpoint climates may be causing difficulties, as in this region of high relief we may be incorrectly using precipitation values from higher elevation sites. (B) Vegetation and climate of western North America at 6000 14C yr B.P. The presence of cool conifer forest in the maritime region of the Pacific Northwest at 6000 14 C yr B.P. suggests that relatively little climatic change occurred there between the mid-Holocene and the present. In the interior part of this region, the shift from taiga at 6000 14C yr B.P. to cool conifer and cold deciduous forests at 0 14 C yr B.P. may reflect a shift to milder climates in the late Holocene, with modern warmer winters perhaps being the key factor. The reconstruction of cool conifer forests at several sites in Colorado and northeastern Arizona that are characterized as open conifer woodland or steppe in the modern reconstruction indicates that conditions were wetter than present at 6000 14C yr B.P. In contrast, steppe was more extensive in the northern Great Basin at 6000 14C yr B.P. compared to present, and sites in the Sierra Nevada that are in cool conifer forest today were in open conifer woodland during the mid-Holocene. These shifts in vegetation imply drier than modern conditions in the northern Great Basin and Sierra Nevada at 6000 14C yr B.P. As noted by Williams et al. (this issue), warmer and drier climates at 6000 14C yr B.P. are also reflected in the contraction of forests and expansion of grassland in the upper Midwest. The contrast between drier conditions in these regions and wetter conditions in the southern Rocky Mountains has been noted in previous reconstructions of the mid-Holocene climates of western North America (e.g. Thompson et al., 1993), and, as discussed in that paper, appears to reflect an enhanced summer monsoon circulation in the Southwest coupled with warmer than modern conditions across most of western North America (as illustrated in Fig. 1, the area of relatively moist mid-Holocene climates lies within the modern track of the summer monsoon). Despite this proposed augmentation of the summer monsoon, the biome reconstructions imply little discernible difference between 6000 and 0 14C yr B.P. in the deserts of the Southwest. (B) Vegetation and climate of western North America at 18,000 14C yr B.P. The occurrence of steppe and tundra at the LGM in now-maritime western Washington indicates conditions both colder and drier than today (Barnosky et al., 1987). Cold climates associated with steppe are also inferred for the northern Great Plains near the Laurentide Ice Sheet (Williams et al., this issue). The presence of cool conifer forest in western Oregon at 18,000 14 C yr B.P. indicates that there was a strong temperature and moisture gradient along the coast of the Pacific Northwest. Biome reconstructions for western North America 17 Open conifer woodland was present at most of the LGM sites from Wyoming south to the Mexican border, indicating open vegetation with MTCO remaining above -10°C (Fig. 4). In the Great Basin and adjacent regions, this woodland included xerophytic subalpine conifers instead of the current dominance of woodland conifers, suggesting that the climate was at the cold and dry end of the range of open conifer woodland. In contrast, this biome in the present-day Southwestern deserts included pinyon pine and woodland juniper, suggesting that the climate was cool (not cold) and wet relative to today. Open conifer woodland also occurred in the southeastern United States during the LGM (Williams et al., this issue), and it is possible that it is favored by the lower levels of atmospheric carbon dioxide that occurred in the late Pleistocene (as may have occurred with dry-tropical biomes: Jolly & Haxeltine, 1997). Overall, the distributions of biomes in western North America at 18,000 14 C yr B.P. are consistent with earlier palaeoclimatic reconstructions (Thompson et al., 1993) and modelling (Kutzbach et al., 1993, 1998; Thompson et al., 1993). Key factors of the LGM climate that differed significantly from today include: (1) a southward displacement of the westerlies, and their enhanced persistence through the year; (2) virtual elimination of the present summer monsoon circulation; and (3) a strong temperature gradient through the interior region, with very cold temperatures to the north and mild conditions along the Mexican border. (A) DISCUSSION AND CONCLUSIONS (B) The biomization method Pollen and packrat midden data appear to provide realistic reconstructions of present-day biomes in western North America. However, to achieve these results the weighting had to be increased for trees (3x) and shrubs (2x) to be able to reconstruct the woodland, forest and desert biomes. Our ability to differentiate among taiga, cool conifer forest, cold deciduous forest and cold mixed forest from pollen data is limited due to a depauperate flora and taxonomic overlap among the PFTs. In addition, our ability to discriminate between cool conifer forest (at the cold end of its range) and open conifer woodland appears to be limited by the very low representations of key ctc trees (especially Pseudotsuga) and by blow-in of pollen from steppe plants in regions of high relief. The new biome, open conifer woodland, provides a good description of both the modern and late Pleistocene vegetation of the semiarid interior of western North America. It likely occurs in other regions of the world. For example, the vegetation of the colder, drier parts of the circum-Mediterranean region is also characterised by an intimate mix of conifers and steppic vegetation (e.g. the juniper woodlands of interior Spain and Greece: Polunin & Walters, 1985). However, vegetation types that are apparently analogous to our open conifer woodland biome occupy rather limited areas in Europe and the Middle East today. This may explain why they were not classified as a separate biome in the original biomization of Europe Biome reconstructions for western North America 18 (Prentice et al., 1996) and have not been recognised in subsequent biomizations (e.g. Jolly et al., 1998b). Given that juniper woodlands may have been more widely distributed in Eurasia during other periods of the late Quaternary, it would be useful to re-examine the vegetation records from these other regions in the light of our recognition of open conifer woodlands as a distinct biome. Single examples of plant macrofossils from a few sites have been used to supplement pollen data in biomizations of other regions (e.g. northern Russia: Texier et al., 1997; Africa: Jolly et al., 1998b). However, the biomization procedure has never been applied to assemblages of plant macrofossils or to an extensive plant macrofossil data set encompassing a range of different biomes. Our reconstructions show that identical biome reconstructions are obtained using plant macrofossils and pollen spectra, when both types of data are available from the same region. Specifically, the changing extent of open conifer woodland since the LGM is clearly documented from both pollen and plant macrofossil sites. The comparability of biome reconstructions from the two data sources opens up new possibilities for the systematic mapping of vegetation changes during the late Quaternary in more arid regions where pollen data are sparse. Although packrat middens are unique to western North America, similar deposits have been found in e.g. the Middle East (Fall et al., 1990), South Africa (Scott, 1990) and Australia (Nelson et al., 1990), as well as in South America. The systematic exploitation of the macrofossil records from these deposits could substantially enhance our understanding of the Late Quaternary dynamics of arid regions. Pollen and plant macrofossils record vegetation at rather different spatial scales: pollen data provide regional reconstructions of vegetation changes at a coarse level of taxonomic precision, while macrofossil data provide records of more local changes based on species-level identifications. Potentially, these differences in spatial resolution could be exploited in several ways. For example, macrofossil data could be used to determine whether specific taxa represented in a pollen record were locally present or were derived by long-distance transport. Takahara et al. (this issue) have shown that the upslope transport of pollen from extra-local vegetation leads to incorrect biome reconstructions for nearly half of the pollen records from Japan. The use of plant macrofossil data to establish local presence, in conjunction with pollen data, could therefore substantially improve biome reconstructions in mountainous regions. In cases where different species within a genus are characteristic of different biomes, such as is the case with different species of Pinus, Abies and Picea in western North America, it may also be possible to exploit the higher taxonomic resolution of plant macrofossil data to guide biomizations at pollen sites (Jolly et al., 1998b; Takahara et al., this issue). (B) Changes in the distribution of PFTs in western North America since the last glacial maximum Plant species have responded to changes in climate and atmospheric chemistry in individualistic fashions over the time since the LGM (Thompson, 1988). We have explored aspects of this history in regard to Biome reconstructions for western North America 19 changes in biomes. Aspects of the vegetation history of western North America can be also seen in the changing affinity scores of PFTs. For example, boreal evergreen conifers (bec) were present across most of the region at 18,000 14C yr B.P. (Fig. 7), except for the present-day low elevation deserts of the Southwest. By 6000 14C yr B.P. this PFT attained its modern range in the Rocky Mountains and Pacific Northwest, and lost much of its late Pleistocene habitat in the Southwest. Woodland conifers (wc) also changed their distributions through time: they lived in the modern Southwestern deserts at 18,000 14 C yr B.P. and 14 dispersed northward and upward in elevation to near their modern limits by 6000 C yr B.P. (as they lost their late Pleistocene habitats in the Southwestern deserts). The steppe shrub PFT (ss) was important across its modern range at 18,000 14 C yr B.P., and was also present in the Pacific Northwest and the Southwestern deserts (Fig. 8). This implies that this complex of species has been a major constituent of western vegetation under both late Pleistocene and Holocene climatic regimes. In contrast, taxa from the desert shrub or succulent PFT (ds) were minor components of western vegetation at the LGM, and have expanded into their modern range during the Holocene. Collectively the histories of the four PFTs in Figs 7 and 8 illustrate differing patterns of PFT response to climatic change. Some, such as the steppe shrub PFT, have maintained near-modern geographic (although perhaps not elevational) ranges since the LGM, whereas others have modified their geographic ranges to greater or lesser extents. (B) Vegetation and climate changes in western North America in the Late Quaternary The vegetation reconstructed through the objective biomization method in western North America is in good agreement with more informal reconstructions for 18,000, 6000 and 0 14C yr B.P. (e.g. Thompson et al., 1993). The biomization procedure provides a uniform method of describing vegetation changes through time, as well as providing a potential means to identify underlying climatic causes. Geologic and biologic data indicate that the present-day climatic patterns (Fig. 1) of western North America were greatly changed at the LGM. For example, the present-day climate of western Washington State in the Pacific Northwest is characterized by high levels of precipitation and mild temperatures. This was apparently not true at 18,000 14 C yr B.P.; instead glacial, faunal and vegetation data suggest that this region experienced dry climates with cold winters (Barnosky et al., 1987; Thompson et al., 1993). In contrast, the desert regions of the Southwestern United States today have hot and dry climates, whereas palaeolacustrine, faunal and vegetational data indicate that the climate was relatively cool and moist at 18,000 14C yr B.P. (Street-Perrott et al., 1989; Thompson et al., 1993), apparently due to a southerly displacement (relative to today) of the westerlies. The biomes reconstructed for both of the regions at the LGM fit well within this framework, with the cold dry climates of the Northwest being associated with steppe and tundra, and the cool moist Southwestern climates with open conifer woodlands (Fig. 3). The reconstructed biomes for the midHolocene are also well aligned with previous palaeoclimatic syntheses. Particularly noteworthy are the Biome reconstructions for western North America 20 contrasting changes in biomes in the southern Rocky Mountains and Sierra Nevada. The former area apparently fell within a region of greater-than-modern summer monsoonal precipitation at 6000 14C yr B.P. (Fall, 1988; Thompson et al., 1993), while the latter area experienced greater-than-present drought at this time (Anderson, 1987; Thompson et al., 1993). The reconstructed biomes reflect this pattern, with the Rocky Mountains having more sites covered with cool conifer forest at 6000 14C yr B.P. than today, while several present-day cool conifer forest sites in the Sierra Nevada were open conifer woodland in the midHolocene (Fig. 3). (A) ACKNOWLEDGEMENTS This paper is a contribution to BIOME 6000. Sandy Harrison graciously provided editorial advice and motivation. Our assignment of pollen taxa to PFTs was made in consultation with Pat Anderson, Pat Bartlein, Mary Edwards, Eric Grimm, Steve Jackson, Pierre Richard, Tom Webb, Cathy Whitlock and Jack Williams. We thank Jack Williams for the software used in the biomization procedure, and Tom Webb, Dan Muhs and Jack Williams for detailed and constructive reviews. We thank Laura Strickland for her help in data preparation. Silvana Schott provided a detailed technical edit of the manuscript. 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Geological Society of America Bulletin 84, 1155-1180. Yu, G. & Harrison, S.P., (1995) Lake status changes in northern Europe during the Holocene. Boreas 24, 260-268. Biome reconstructions for western North America 31 TABLE AND FIGURE CAPTIONS: Table 1. Present-day biomes in western North America interpreted from Küchler (1964; see Fig. 2). Table 2. Characteristics of the 0, 6000 and 18,000 14 C yr B.P. pollen sites from western North America. Site names with asterisks indicate digitized data, those without an asterisk were taken from the North American Pollen Database from the sample level closest to the target age. Negative radiocarbon ages indicate dates that are younger than A.D. 1950. Dating control (DC) codes are based on the COHMAP dating control scheme (Webb, 1985; Yu & Harrison, 1995). For site with continuous sedimentation (indicated by a C after the numeric code), the dating control is based on bracketing dates where 1 indicates that both dates are within 2000 years of the selected interval, 2 indicates one date within 2000 years and the other within 4000 years, 3 indicates both within 4000 years, 4 indicates one date within 4000 years and the other within 6000 years, 5 indicates both dates within 6000 years, 6 indicates one date within 6000 years and the other within 8000 years, and 7 indicates bracketing dates more than 8000 years from the selected interval. For sites with discontinuous sedimentation (indicated by D after the numeric code), 1 indicates a date within 250 years of the selected interval, 2 a date within 500 years, 3 a date within 750 years, 4 a date within 1000 years, 5 a date within 1500 years, 6 a date within 2000 years, and 7 a date more than 2000 years from the selected interval. Biome codes (Biome) are given in Table 6. For mapping purposes some sites (indicated by ‡) which are too close to one another have been displaced slightly. Table 3. Characteristics of the 0, 6000 and 18,000 14 C yr B.P. packrat midden sites from western North America. Dating control codes (DC) follow the scheme described in Table 2. Biome codes (Biome) are given in Table 6. For mapping purposes some sites (indicated by ‡) which are too close to one another have been displaced slightly. Table 4. Assignments of pollen taxa from western North America to the PFTs used in the biomization procedure. Table 5. Assignments of plant macrofossil (midden) taxa from western North America to the PFTs used in the biomization procedure. Table 6. Assignment of PFTs to biomes used in the biomization for western North America. Biome reconstructions for western North America 32 Table 7. Climatic tolerances of biomes in western North America, based on (a) present-day potential natural vegetation, and (b) present-day pollen and plant macrofossil assemblages. MTCO temperatures are approximated to the nearest 2.5° C; GDD5 values to the nearest 500 growing-degree days; and α values to the nearest 0.05. The values in 7 (a) were obtained through visual inspection and interpretation of Figs 5 and 6; the values in 7 (b) through visual inspection and interpretation of Fig. 5. Cold deciduous forests and xerophytic woods/scrub are omitted from 7 (b) because they only occur once. Figure 1. Present-day climate of western North America. These four panels illustrate the biseasonal precipitation regime and the range of temperature and precipitation conditions experienced over this mountainous region. Modern mean temperature (right) and mean precipitation (left) in January (top) and July (bottom) over western North America. Figure 2. Vegetation of the western United States based on the Küchler (1964) map of potential natural vegetation. The categories used by Küchler have been grouped to approximate the biomes used by Prentice et al. (1996) and in this paper (with the exception of the steppe and grassland categories, which can be differentiated here but are more difficult to discriminate in pollen and macrofossil data). Figure 3. Biomes for 0, 6000, and 18,000 14C yr B.P. in western North America. The 0 14C yr B.P. biomes are on: (1) pollen assemblages from modern core tops from fossil pollen sites and lacustrine surface samples, and (2) packrat middens from the past 1000 radiocarbon years. Pollen sites are represented by a circle, midden sites by a triangle. Figure 4. Bivariate plots of the estimated modern climatic ranges of the vegetation categories shown in Fig. 2. Figure 5. Histograms illustrating the univariate estimated modern climatic ranges of the vegetation categories shown in Fig. 2. Figure 6. Bivariate plots of the estimated modern climatic ranges of the western North American biomes mapped for 0 14 C yr B.P. in Fig. 3. Pollen sites are represented by a circle, midden sites by a triangle. Figure 7. Affinity scores for selected plant functional types in western North America for 18,000, 6000, and 0 14 C yr B.P. The upper series of panels illustrates the occurrence of boreal evergreen conifers including species of Picea, Abies, and Larix. The lower series illustrates the past occurrence of species of pinyon Biome reconstructions for western North America 33 pines and woodland junipers (woodland conifers). Pollen sites are represented by a circle, midden sites by a triangle. Figure 8. Affinity scores for selected plant functional types in western North America for 18,000, 6000, and 0 14 C yr B.P. The upper series of panels illustrates the occurrence of steppe plants, such as Artemisia, whereas the lower series illustrates shrub and succulent species that are now largely confined in hot deserts. Pollen sites are represented by a circle, midden sites by a triangle. Biome reconstructions for western North America 34 Table 1 Present-day biomes in western North America interpreted from Küchler (1964; see Fig. 2). Biome tundra cool conifer forest temperate deciduous/cool mixed forest open conifer woodland xerophytic woods/scrub grassland steppe desert Küchler categories alpine meadows and barren spruce-cedar-hemlock forest, cedar-hemlockDouglas fir forest, silver fir-Douglas fir forest, fir-hemlock forest, mixed conifer forest, redwood forest, red fir forest, lodgepole pinesubalpine forest, pine-cypress forest, western ponderosa forest, Douglas fir forest, cedarhemlock-pine forest, grand fir-Douglas fir forest, western spruce-fir forest, eastern ponderosa forest, Black Hills pine forest, pine-Douglas fir forest, Arizona pine forest, spruce-fir-Douglas fir forest, Southwestern spruce-fir forest, western ponderosa forest, Oregon oak/California mixed evergreen forest cedar-hemlock-Douglas fir forest, Oregon oak woodlands, California mixed evergreen forest, California oaklands, oak-juniper woodlands, mountain mahogany-oak (in part), northern floodplain forest juniper-pinyon woodland, juniper woodland Key genera Agrostis, Carex, Festuca, Poa Abies, Cupressus, Picea, Pinus, Pseudotsuga, Sequoia, Thuja, Tsuga chapparal, coastal sagebrush, California oaklands (in part) Adenostoma, Arctostaphylos, Ceanothus, Eriogonum, Quercus, Salvia Acacia, Agropyron, Andropogon, Aristida, Artemisia, Bouteloua, Buchloe, Danthonia, Distichlis, Festuca, Hilaria, Juniperus, Muhlenbergia, Poa, Prosopis, Quercus, Setaria, Spartina, Stipa fescue-oatgrass, California steppe, California tule marshes, fescue-wheatgrass, wheatgrassbluegrass, grama-galleta steppe, grama-tobosa prairie, wheatgrass-needlegrass shrubsteppe, galleta-three awn shrubsteppe, mesquite-buffalo grass, mesquite-acacia-savanna, foothills prairie, grama-needlegrass-wheatgrass, grama-buffalo grass, wheatgrass-needlegrass, wheatgrassbluestem-needlegrass, wheatgrass-grama-buffalo grass, bluestem-grama prairie, sandsagebluestem prairie, shinnery, northern cordgrass prairie, oak savanna, juniper-oak savanna, fescue-mountain muhly prairie sagebrush steppe, Great Basin sagebrush steppe, saltbush-greasewood, mountain mahogany-oak (in part) mesquite bosques; blackbrush, creosote bush, creosote bush-bur sage, palo verde-cactus shrub, grama-tobosa shrubsteppe, ceniza shrub, gramatobosa shrubsteppe, Trans-Peco shrub savanna Arbutus, Cercocarpus, Juniperus, Populus, Pseudotsuga, Quercus, Salix, Thuja, Tsuga, Ulmus Artemisa, Juniperus, Pinus Agropyron, Artemisia, Atriplex, Cercocarpus, Quercus, Sarcobatus Cercidium, Colegyne, Flourensia, Franseria, Larrea, Leucophyllum, Opuntia, Prosopis Biome reconstructions for western North America 35 Table 2 Characteristics of the 0, 6000 and 18,000 14C yr B.P. pollen sites from western North America. Site names with asterisks indicate digitized data, those without an asterisk were taken from the North American Pollen Database from the sample level closest to the target age. Negative radiocarbon ages indicate dates that are younger than A.D. 1950. Dating control (DC) codes are based on the COHMAP dating control scheme (Webb, 1985; Yu & Harrison, 1995). For site with continuous sedimentation (indicated by a C after the numeric code), the dating control is based on bracketing dates where 1 indicates that both dates are within 2000 years of the selected interval, 2 indicates one date within 2000 years and the other within 4000 years, 3 indicates both within 4000 years, 4 indicates one date within 4000 years and the other within 6000 years, 5 indicates both dates within 6000 years, 6 indicates one date within 6000 years and the other within 8000 years, and 7 indicates bracketing dates more than 8000 years from the selected interval. For sites with discontinuous sedimentation (indicated by D after the numeric code), 1 indicates a date within 250 years of the selected interval, 2 a date within 500 years, 3 a date within 750 years, 4 a date within 1000 years, 5 a date within 1500 years, 6 a date within 2000 years, and 7 a date more than 2000 years from the selected interval. Biome codes (Biome) are given in Table 6. For mapping purposes some sites (indicated by ‡) which are too close to one another have been displaced slightly. Site no. 1 3 4 5 6 18 20 21 22 24 26 28 29 30 31 32 37 40 42 43 44 45 46 47 48 49 50 51 53 54 55 57 59 60 61 62 56 65 68 69 70 71 73 74 75 76 77 78 79 83 85 88 89 92 94 Site name MODERN SAMPLES Alkali Creek* Antelope Playa* Balsam Meadows* Barrett Lake* Battle Ground Lake* Como Lake* Cottonwood Pass Pond* Creston Fen* Cub Creek Pond* Cygnet Lake Fen Dead Man Lake* Diamond Pond* Divide Lake* Dome Creek Meadow* Emerald Lake Exchequer Meadow* Fryingpan Lake* Gold Lake Bog Gray's Lake* Great Salt Lake* Guardipee Lake Hager Pond* Hall Lake* Hay Lake, Arizona Head Lake* Hedrick Pond Hidden Cave* Hoh Bog* Hurricane Basin* Ice Slough* Indian Prairie Fen Jacob Lake Keystone Iron Bog* Kirk Lake* La Poudre Pass Bog* Lake Cleveland* Lake Isabel Bog* Lily Lake ‡ Little Lake, Oregon Long Lake* Lost Lake, Montana Lost Trail Pass Bog* Marion Lake* Mariposa Lake, WY Mayberry Well Mckillop Creek Pond* Mineral Lake* Mission Cross Bog* Molas Lake Nichols Meadow* Pangborn Bog* Posy Lake* Potato Lake* Rattlesnake Cave* Ruby Marshes* Lat. (°N) Long. (°W) Elev. (m) No. of 14 C dates DC Age of chosen depth Target age Biome 38.75 43.50 37.17 37.60 45.67 37.55 38.83 47.58 45.17 44.65 36.24 43.25 43.95 40.02 44.07 37.00 38.62 43.65 43.00 41.00 48.55 48.67 47.82 34.00 37.70 43.75 39.33 47.75 37.97 42.48 44.63 34.33 38.87 48.12 40.48 42.32 40.07 43.77 44.17 40.07 47.63 45.75 49.33 44.15 33.70 48.33 46.73 41.78 37.75 37.43 48.83 37.95 34.08 43.52 41.13 106.83 105.45 119.50 119.02 122.48 105.50 106.41 118.75 110.17 110.60 108.95 118.33 110.23 107.03 110.30 119.08 111.67 122.05 111.58 112.50 112.72 116.92 122.30 109.43 105.50 110.60 118.75 124.25 107.55 107.90 122.58 110.83 107.03 121.50 105.78 113.63 105.62 110.32 123.58 105.60 110.48 113.97 123.00 110.23 108.30 115.45 122.20 115.48 107.68 119.57 122.58 111.70 111.50 112.62 115.48 2800 1450 2005 2816 <300 3523 3700 n/a 2500 2530 2780 1265 2628 3165 2634 2219 2720 1465 1946 1280 1233 860 104 2780 2300 2073 1251 n/a 3650 1950 988 2285 2920 190 3103 2519 3310 2469 217 3210 1019 2152 305 2730 2080 920 436 2424 3200 1509 n/a 2653 2222 1996 1818 3 3 6 6 11 2 3 3 3 6 5 11 3 5 3 6 5 5 15 1 3 12 6 6 6 5 16 8 6 4 5 3 7 8 3 3 3 2 13 5 5 16 7 3 1 5 7 7 2 2 3 4 4 1 25 n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a 0 n/a n/a n/a n/a 458 n/a n/a 29 n/a n/a -34 n/a n/a 106 n/a 0 n/a n/a n/a n/a 350 25 n/a n/a n/a n/a n/a 0 243 n/a -35 n/a n/a 0 211 n/a n/a n/a 81 n/a n/a n/a n/a n/a n/a 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 OC STEP COCO OC COCO OC OC OC COCO OC OC STEP TAIG OC OC COCO TAIG COCO OC OC OC COCO COCO STEP OC OC OC COCO STEP OC COCO STEP COCO COCO STEP OC OC OC TUND OC STEP TAIG COCO OC OC COCO COCO STEP OC COCO COCO COCO OC OC OC Reference Markgraf & Scott, 1981 Markgraf & Lennon, 1986 Davis et al., 1985 Anderson, 1990 Barnosky, 1985a Shafer, 1989 Fall, 1988 Mack et al., 1976 Waddington & Wright, 1974 Whitlock, 1993 Wright et al., 1973 Wigand, 1987 Whitlock & Bartlein, 1993 Feiler et al., 1997 Whitlock, 1993 Davis & Moratto, 1988 Shafer, 1989 Sea & Whitlock, 1995 Beiswenger, 1991 Mehringer, 1985 Barnowsky, 1989 Mack et al., 1978b,d Tsukada et al., 1981 Jacobs, 1985 Shafer, 1989 Whitlock, 1993 Wigand & Mehringer, 1985 Heusser, 1978 Andrews et al., 1975 Beiswenger, 1987 Sea & Whitlock, 1995 Jacobs, 1983 Fall, 1985, 1988 Cwynar, 1987 Short, 1985 Davis, 1981 Short, 1985 Whitlock, 1993 Worona & Whitlock, 1995 Short, 1985 Barnosky, 1989 Mehringer et al., 1977 Mathewes, 1973 Whitlock, 1993 Markgraf, unpub Mack et al., 1983 Tsukada et al., 1981 Thompson, 1984 Maher, 1961 Koehler & Anderson, 1994 Hansen & Easterbrook, 1974 Shafer, 1989 Anderson, 1993 Davis, 1981 Thompson, 1992 Biome reconstructions for western North America 36 100 102 103 105 106 107 109 113 116 118 119 Slough Creek Pond Soleduck Bog* Splains Gulch* Swamp Lake* Swan Lake* Teepee Lake* Tioga Pass Pond* Waits Lake* Wessler Bog* Williams Fen* Woski Pond 44.93 47.92 38.83 37.95 42.33 48.33 37.92 48.17 48.17 47.33 37.73 110.35 124.47 107.08 119.82 112.42 115.50 119.27 117.67 124.50 117.58 119.63 1884 73 3160 1554 1452 1270 3018 n/a 25 n/a 1212 4 1 4 5 3 8 4 8 1 6 3 n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a 0 n/a n/a n/a n/a n/a n/a n/a n/a n/a -36 0 0 0 0 0 0 0 0 0 0 0 OC COCO TAIG COCO OC COCO STEP CLDE COCO STEP COCO Whitlock & Bartlein, 1993 Heusser, 1973 Fall, 1988 Smith & Anderson, 1992 Bright, 1966 Mack et al., 1983 Anderson, 1990 Mack et al., 1978c,d Heusser, 1973 Nickmann, 1979 Anderson & Carpenter, 1991 1 3 4 5 6 9 10 11 12 13 14 18 19 20 21 22 24 25 28 29 30 31 32 37 38 40 42 43 44 45 46 47 48 49 50 53 54 55 59 60 61 62 63 56 64 65 66 68 69 70 71 73 74 76 77 78 79 81 83 85 86 88 91 92 93 94 100 102 103 105 106 6000 14C yr B.P. SAMPLES Alkali Creek* Antelope Playa* Balsam Meadows* Barrett Lake* Battle Ground Lake* Big Meadow* Blacktail Pond* Bogachiel River Site* Bonaparte Meadows* Buckbean Fen* Carp Lake* Como Lake* Copley Lake* Cottonwood Pass Pond* Creston Fen* Cub Creek Pond* Cygnet Lake Fen Davis Lake* Diamond Pond* Divide Lake* Dome Creek Meadow* Emerald Lake Exchequer Meadow* Fryingpan Lake* Gardiners Hole* Gold Lake Bog Gray's Lake* Great Salt Lake* Guardipee Lake Hager Pond* Hall Lake* Hay Lake, Arizona Head Lake* Hedrick Pond Hidden Cave* Hurricane Basin* Ice Slough* Indian Prairie Fen Keystone Iron Bog* Kirk Lake* La Poudre Pass Bog* Lake Cleveland* Lake Emma* Lake Isabel Bog* Lake Washington* Lily Lake ‡ Lily Lake Fen ‡ Little Lake, Oregon Long Lake* Lost Lake, Montana Lost Trail Pass Bog* Marion Lake* Mariposa Lake, WY Mckillop Creek Pond* Mineral Lake* Mission Cross Bog* Molas Lake Mud Lake* Nichols Meadow* Pangborn Bog* Pinecrest Lake* Posy Lake* Rapid Lake* Rattlesnake Cave* Redrock Lake* Ruby Marshes* Slough Creek Pond Soleduck Bog* Splains Gulch* Swamp Lake* Swan Lake* 38.75 43.50 37.17 37.60 45.67 48.92 44.97 47.88 48.75 44.30 45.92 37.55 38.87 38.83 47.58 45.17 44.65 46.58 43.25 43.95 40.02 44.07 37.00 38.62 44.92 43.65 43.00 41.00 48.55 48.67 47.82 34.00 37.70 43.75 39.33 37.97 42.48 44.63 38.87 48.12 40.48 42.32 37.90 40.07 47.67 43.77 43.77 44.17 40.07 47.63 45.75 49.33 44.15 48.33 46.73 41.78 37.75 48.50 37.43 48.83 50.50 37.95 42.62 43.52 40.67 41.13 44.93 47.92 38.83 37.95 42.33 106.83 105.45 119.50 119.02 122.48 117.42 110.60 124.33 119.08 110.25 120.88 105.50 105.08 106.41 118.75 110.17 110.60 122.25 118.33 110.23 107.03 110.30 119.08 111.67 110.73 122.05 111.58 112.50 112.72 116.92 122.30 109.43 105.50 110.60 118.75 107.55 107.90 122.58 107.03 121.50 105.78 113.63 107.63 105.62 122.22 110.32 110.32 123.58 105.60 110.48 113.97 123.00 110.23 115.45 122.20 115.48 107.68 119.75 119.57 122.58 121.50 111.70 109.20 112.62 105.50 115.48 110.35 124.47 107.08 119.82 112.42 2800 1450 2005 2816 <300 1040 2018 533 1021 2363 714 3523 3250 3700 n/a 2500 2530 282 1265 2628 3165 2634 2219 2720 n/a 1465 1946 1280 1233 860 104 2780 2300 2073 1251 3650 1950 988 2920 190 3103 2519 3730 3310 6 2469 2469 217 3210 1019 2152 305 2730 920 436 2424 3200 655 1509 n/a 320 2653 3135 1996 3095 1818 1884 73 3160 1554 1452 3 3 6 6 11 8 3 2 14 4 13 2 7 3 3 3 6 16 11 3 5 3 6 5 2 5 15 1 3 12 6 6 6 5 16 6 4 5 7 8 3 3 5 3 5 2 6 13 5 5 16 7 4 5 7 7 2 5 2 3 1 4 4 1 7 25 4 1 4 5 3 2C 1C 2C 3C 1C 2C 5C 7C 1C 2C 2C 1C 1C 2C 4C 7C 1C 1C n/a 3C 2C 4C 1C 1C 4D 2C 2C 3D 5C 1C 2C 6C 2C 4C 2C 2C 3C 2C 2C 3D 2C 2C 3D 2C 4C 2C 4D 2C 2C 1C 1C 2C 4C 1D 2C 1C 7C 7D 1D 5D 7D 1C 2C 4D 1C 1C 2C 4C 1C 4C 4C n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a 6124 n/a n/a n/a n/a 6018 n/a n/a n/a 6147 n/a n/a 6166 n/a n/a 5639 n/a 6077 n/a n/a n/a 5919 n/a n/a n/a n/a n/a n/a n/a 5892 6285 5990 n/a 5978 n/a n/a 6505 n/a n/a n/a 5818 n/a n/a n/a n/a n/a n/a n/a n/a 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 6000 OC STEP OC OC COCO TAIG OC COCO TAIG OC COCO OC COCO COCO OC OC OC COCO OC TAIG STEP TAIG COCO TAIG OC COCO STEP OC STEP TAIG COCO OC OC OC OC TAIG STEP COCO COCO COCO OC OC OC OC COCO TAIG OC COCO OC STEP COCO COCO OC TAIG COCO STEP OC OC OC COCO COCO OC OC OC OC OC OC COCO COCO COCO STEP Markgraf & Scott, 1981 Markgraf & Lennon, 1986 Davis et al., 1985 Anderson, 1990 Barnosky, 1985a Mack et al., 1978a Gennett, 1977 Heusser, 1978 Mack et al., 1979 Baker, 1976 Barnosky, 1985b Shafer, 1989 Fall, 1988 Fall, 1988 Mack et al., 1976 Waddington & Wright, 1974 Whitlock, 1993 Barnosky, 1981 Wigand, 1987 Whitlock & Bartlein, 1993 Feiler et al., 1997 Whitlock, 1993 Davis & Moratto, 1988 Shafer, 1989 Baker, 1983 Sea & Whitlock, 1995 Beiswenger, 1991 Mehringer, 1985 Barnowsky, 1989 Mack et al., 1978b Tsukada et al., 1981 Jacobs, 1985 Shafer, 1989 Whitlock, 1993 Wigand & Mehringer, 1985 Andrews et al., 1975 Beiswenger, 1987 Sea & Whitlock, 1995 Fall, 1985, 1988 Cwynar, 1987 Short, 1985 Davis, 1981 Carrara et al., 1984 Short, 1985 Leopold et al., 1982 Whitlock, 1993 Whitlock, 1993 Worona & Whitlock, 1995 Short, 1985 Whitlock, 1989 Mehringer et al., 1977 Mathewes, 1973 Whitlock, 1993 Mack et al., 1983 Tsukada et al., 1981 Thompson, 1984 Maher, 1961 Mack et al., 1979 Koehler & Anderson, 1994 Hansen & Easterbrook, 1974 Mathewes & Rouse, 1975 Shafer, 1989 Fall, 1988 Davis, 1981 Maher, 1972 Thompson, 1992 Whitlock & Bartlein, 1993 Heusser, 1973 Fall, 1988 Smith & Anderson, 1992 Bright, 1966 6128 Biome reconstructions for western North America 107 109 113 116 118 Teepee Lake* Tioga Pass Pond* Waits Lake* Wessler Bog* Williams Fen* 48.33 37.92 48.17 48.17 47.33 115.50 119.27 117.67 124.50 117.58 1270 3018 n/a 25 n/a 8 4 8 1 6 1C 1C 2C 7C 1C 6 8 11 14 25 26 27 33 42 47 49 51 57 58 68 75 77 79 83 89 94 18,000 14C yr B.P. SAMPLES Battle Ground Lake* Bechan Cave Bogachiel River Site* Carp Lake* Davis Lake* Dead Man Lake* Devlins Park* Fargher Lake* Gray's Lake* Hay Lake, Arizona Hedrick Pond Hoh Bog* Jacob Lake Kalaloch* Little Lake, Oregon Mayberry Well Mineral Lake* Molas Lake Nichols Meadow* Potato Lake* Ruby Marshes* 45.67 38.00 47.88 45.92 46.58 36.24 40.02 45.88 43.00 34.00 43.75 47.75 34.33 47.55 44.17 33.70 46.73 37.75 37.43 34.08 41.13 122.48 111.00 124.33 120.88 122.25 108.95 105.55 122.52 111.58 109.43 110.60 124.25 110.83 124.33 123.58 108.30 122.20 107.68 119.57 111.50 115.48 <300 1370 533 714 282 2780 2953 n/a 1946 2780 2073 n/a 2285 35 217 2080 436 3200 1509 2222 1818 11 1 2 13 16 5 6 3 15 6 5 8 3 3 13 1 7 2 2 4 25 2C 7D 7C 1C 3C 7C 1C 2C 6C 6C 4D 7D 7C 6D 2C 7C 2D 7D 7C 4C 1C 18236 17770 17408 18144 17618 18332 18062 37 6000 6000 6000 6000 6000 TAIG OC TAIG COCO STEP Mack et al., 1983 Anderson, 1990 Mack et al., 1978c Heusser, 1973 Nickmann, 1979 18000 18000 18000 18000 18000 18000 18000 18000 18000 18000 18000 18000 18000 18000 18000 18000 18000 18000 18000 18000 18000 STEP OC STEP STEP STEP OC OC COCO OC OC OC TUND OC STEP COCO OC STEP OC OC OC OC Barnosky, 1985a Davis et al., 1984, Davis, 1990 Heusser, 1978 Barnosky, 1985b Barnosky, 1981 Wright et al., 1973 Legg & Baker, 1980 Heusser, 1983 Beiswenger, 1991 Jacobs, 1985 Whitlock, 1993 Heusser, 1978 Jacobs, 1983 Heusser, 1972 Worona & Whitlock, 1995 Markgraf, unpub NAPD Tsukada et al., 1981 Maher, 1961 Koehler & Anderson, 1994 Anderson, 1993 Thompson, 1992 Biome reconstructions for western North America Table 3 Characteristics of the 0, 6000 and 18,000 38 14 C yr B.P. packrat midden sites from western North America. Dating control codes (DC) follow the scheme described in Table 2. Biome codes (Biome) are given in Table 6. For mapping purposes some sites (indicated by ‡) which are too close to one another have been displaced slightly. Site name Sample Lat. Long. Elev. Code (°N) (°W) (m) Sample type C14 Target DC age age Biome References MODERN SAMPLES Ajo Loop 4 31.97 112.78 550 midden 980 0 4D DESE Van Devender, 1987 Ajo Loop 3A 31.97 112.78 550 midden 990 0 4D DESE Van Devender, 1987 Ajo Loop 2C 31.97 112.78 550 midden 130 0 1D DESE Van Devender, 1987 Ajo Loop 2B 31.97 112.78 550 midden 30 0 1D DESE Van Devender, 1987 Bison Alcove MOD 38.73 109.50 1317 midden 405 0 2D OC Sharpe, 1991 Bison Alcove MOD 38.73 109.50 1317 midden 355 0 2D OC Sharpe, 1991 Dog Canyon 1 32.83 105.92 1615 midden 360 0 2D DESE Dolores 4(1) 37.52 108.55 2100 midden 900 0 4D OC Van Devender, 1985 Dolores 3 37.52 108.55 2100 midden 580 0 3D OC Van Devender, 1985 Dolores 4(2) 37.52 108.55 2100 midden 990 0 4D OC Van Devender, 1985 Eureka View ‡ #3 37.33 117.78 1450 midden 535 0 3D DESE Gatecliff #5 39.00 116.78 2319 midden 0 0 1D OC Greenwater Valley ‡ G11C 36.17 116.60 1410 midden 740 0 3D DESE Cole & Webb, 1985 Greenwater Valley ‡ G11A 36.17 116.60 1410 midden 0 0 1D DESE Cole & Webb, 1985 Greenwater Valley ‡ G9D 36.17 116.60 1350 midden 290 0 2D DESE Cole & Webb, 1985 Greenwater Valley ‡ G15 36.17 116.60 1380 midden 0 0 1D DESE Cole & Webb, 1985 Greenwater Valley ‡ G7 36.17 116.60 1360 midden 0 0 1D DESE Cole & Webb, 1985 Greenwater Valley ‡ G8 36.17 116.60 1340 midden 0 0 1D DESE Cole & Webb, 1985 Greenwater Valley ‡ G6B 36.17 116.60 1350 midden 270 0 2D DESE Cole & Webb, 1985 Greenwater Valley ‡ G11B 36.17 116.60 1410 midden 400 0 2D DESE Cole & Webb, 1985 Greenwater Valley ‡ G4A 36.17 116.60 1350 midden 200 0 1D OC Cole & Webb, 1985 Hance Canyon ‡ HC2B 36.03 111.97 1200 midden 0 0 1D DESE Hidden Forest #3B 36.57 115.10 2380 midden 820 0 4D OC Spaulding, 1981 Horse Thief Hills ‡ #3(1) 37.35 117.80 1575 midden 200 0 1D DESE Spaulding, 1980 Horse Thief Hills ‡ #3(2) 37.35 117.80 1575 midden 200 0 1D DESE Spaulding, 1980 Horse Thief Hills ‡ #3(2) 37.35 117.80 1575 midden 200 0 1D DESE Spaulding, 1980 Horse Thief Hills ‡ #2 37.35 117.80 1635 midden 200 0 1D OC Spaulding, 1980 Horseshoe Mesa ‡ HM1B 36.03 111.98 1100 midden 0 0 1D DESE Cole, 1981 Kings Canyon KC7 36.80 118.80 1270 midden 90 0 1D XERO Cole, 1983 Kings Canyon MODINDUR 36.80 118.80 1270 midden 0 0 1D XERO Cole, 1983 McCullough Range 1(1)1 35.75 115.17 1045 midden 960 0 4D DESE Spaulding, 1991 Navar Ranch 18C 31.90 106.15 midden 789 0 4D DESE Van Devender & Toolin, undat. San Andres 1 32.83 105.92 1555 midden 430 0 2D DESE Van Devender et al., 1984 Sierra Bacha 3 29.83 112.47 100 midden 320 0 2D DESE Van Devender et al., 1994 Wide Rock Butte LEVEL1 36.12 109.33 2100 midden 0 0 1D OC Schmutz et al., 1976 Van Devender, 1987 Van Devender et al., 1984 Spaulding, 1980 Thompson & Hattori, 1983 Cole, 1981 6000 14C yr B.P. SAMPLES Ajo Loop 1A 31.97 112.78 550 midden 5240 6000 4D DESE Chuar Valley CH1 36.17 111.92 1430 midden 6830 6000 4D OC Council Hall Cave #1A 39.33 114.10 2040 midden 6120 6000 1D OC Thompson, 1984 Eureka View #4(3) 37.33 117.78 1435 midden 5435 6000 3D DESE Spaulding, 1980 Cole, 1981 Biome reconstructions for western North America Eureka View #4(2) 37.33 117.78 1435 midden 6795 6000 4D DESE 39 Spaulding, 1980 Eureka View #4(1) 37.33 117.78 1435 midden 5595 6000 2D DESE Spaulding, 1980 Fishmouth Cave 4 37.42 109.65 1585 midden 6100 6000 1D OC Betancourt, 1984 Grandview Point ‡ GP4 36.00 111.98 2200 midden 5510 6000 2D OC Hornaday Mountains 1C 31.98 113.60 240 midden 6065 6000 1D DESE Cole, 1981 Van Devender et al., 1990 Lava Tube 99999 43.55 122.57 1640 midden 5690 6000 2D STEP Bright & Davis , 1982 Lubkin Canyon ‡ 1 36.53 118.05 1264 midden 5090 6000 4D STEP Koehler & Anderson, 1995 Lubkin Canyon ‡ 2 36.53 118.05 1264 midden 5610 6000 2D OC Lucerne Peak ‡ #1 34.50 117.00 1097 midden 5800 6000 1D DESE King, 1976 Marble Canyon 1A 32.83 105.92 1580 midden 5430 6000 3D DESE Van Devender et al., 1984 Koehler & Anderson, 1995 McCullough Range 3(5) 35.75 115.17 1045 midden 5060 6000 4D DESE Spaulding, 1991 McCullough Range 3(1) 35.75 115.17 1045 midden 5510 6000 2D DESE Spaulding, 1991 McCullough Range 3(3) 35.75 115.17 1045 midden 6480 6000 2D DESE Spaulding, 1991 McCullough Range 3(4) 35.75 115.17 1045 midden 6800 6000 4D DESE Spaulding, 1991 midden 6360 6000 2D DESE Van Devender & Toolin, nd 1700 midden 6330 6000 2D DESE Van Devender & Toolin, 1983 Navar Ranch 1C1 31.90 106.15 Rhodes Canyon 4 33.18 106.60 Rhodes Canyon 6B 33.18 106.60 1700 midden 6950 6000 4D DESE Van Devender & Toolin, 1983 Sierra Bacha 1J 29.83 112.47 200 midden 5340 6000 3D DESE Van Devender et al., 1994 Sunset Cove ‡ #1 34.50 117.00 972 midden 5880 6000 1D OC King, 1976 Tse an Bida Cave BI6B 36.00 112.00 1450 midden 6800 6000 4D OC Cole, 1981 Valleyview #1 39.50 114.72 2350 midden 6250 6000 1D OC Thompson, 1984 Valleyview #1 39.50 114.72 2350 midden 6670 6000 3D OC Waterman Mountains 9D 32.35 111.45 760 midden 5540 6000 2D DESE Thompson, 1984 Andersen & Van Devender, 1991 Waterman Mountains 9D 32.35 111.45 760 midden 4845 6000 5D DESE Andersen & Van Devender, 1991 Waterman Mountains 12A 32.35 111.45 760 midden 6195 6000 1D DESE Andersen & Van Devender, 1991 Waterman Mountains 12A 32.35 111.45 760 midden 5920 6000 1D DESE Andersen & Van Devender, 1991 Van Devender, 1973 Wellton Hills #5A 32.60 114.12 175 midden 6600 6000 3D DESE Wellton Hills #5A 32.60 114.12 175 midden 8150 6000 DESE Van Devender, 1973 Wide Rock Butte LEVEL4 36.12 109.33 2100 midden 6210 6000 1D COMX Schmutz et al., 1976 Wolcott Peak 4 32.45 111.47 862 midden 5350 6000 3D DESE Van Devender, 1973 Big Boy 2 32.83 105.92 1555 midden 18300 18000 2D OC Chuar Valley ‡ CH18C2 36.17 111.92 1770 midden 18490 18000 2D COMX Cole, 1981 Chuar Valley ‡ CH18B 36.17 111.92 1770 midden 18800 18000 4D OC Cole, 1981 Eyrie #3(2) 36.63 115.28 1855 midden 18890 18000 4D OC Spaulding, 1981 Flaherty Mesa #2 36.48 115.25 1770 midden 18790 18000 4D OC Spaulding, 1981 Hance Canyon ‡ HC4 36.03 111.97 1100 midden 17400 18000 3D OC Cole, 1981 Horseshoe Mesa ‡ HM6 36.03 111.98 1450 midden 18630 18000 3D XERO Cole, 1981 Kings Canyon #5A2 36.80 118.80 1275 midden 19130 18000 5D XERO Cole, 1983 Kings Canyon #5A2 36.80 118.80 1275 midden 17520 18000 2D XERO Cole, 1983 Nankoweap ‡ NA9C 36.25 111.95 2020 midden 18130 18000 1D COCO Cole, 1981 Nankoweap ‡ NA9B 36.25 111.95 2020 midden 17950 18000 1D COCO Cole, 1981 Pontatoc Ridge #4B 32.35 110.88 1463 midden 17950 18000 1D OC VanDevender & Thompson, unpub. Rampart Cave RatLayer 36.10 113.93 535 midden 18890 18000 4D OC Phillips, 1977 Streamview #2 39.33 114.10 1860 midden 17350 18000 3D OC Thompson, 1984; Thompson & Mead, 1982 Vulture Canyon #6 36.10 113.93 645 midden 17610 18000 2D OC Phillips, 1977 Vulture Canyon #17 36.10 113.93 645 midden 17100 18000 4D OC Mead & Phillips, 1981 Willow Wash #4D 36.47 115.25 1585 midden 17070 18000 4D OC Spaulding, 1981 7 18,000 14C yr B.P. SAMPLES Van Devender et al., 1984 Biome reconstructions for western North America 40 Table 4 Assignments of pollen taxa from western North America to the PFTs used in the biomization procedure. Abbr. aa Plant functional type arctic/alpine dwarf shrub bec bs boreal evergreen conifer boreal summergreen ctc cool-temperate conifer df desert forb ds ds2 ec desert shrub or succulent frost-sensitive desert shrub or succulent eurythermic conifer g h s sf grass heath sedge steppe forb ss ts steppe shrub temperate summergreen ts1 ts2 cool-temperate summergreen intermediate-temperate summergreen ts3 wc ws wtc warm-temperate summergreen woodland conifer woodland shrub warm-temperate conifer wte warm-temperate broadleaved evergreen cool-temperate broadleaved evergreen warm-temperate sclerophyll shrub wte1 wte2 Pollen taxa Alnus undiff., Betula undiff., Brassicaceae, Caryophyllaceae, Dryas-type, Fabaceae, Oxyria, Polygonum bistortoides-type, Potentilla-type, Ranunculaceae, Salix, Saxifragaceae, Thalictrum, Umbelliferae/Apiaceae Abies, Picea Alnus undiff., Betula undiff., Cornus, Larix, Larix/Pseudotsuga, Myricaceae, Populus, Salix, Shepherdia canadensis Abies, Larix/Pseudotsuga, Picea, Pseudotsuga, Taxaceae, Taxodiaceae (Other, in California), Taxodiaceae/Cupressaceae/Taxaceae, Tsuga Ambrosia-type, Brassicaceae, Caryophyllaceae, Chenopodiaceae/Amaranthus, Ephedra, Eriogonum, Euphorbiaceae, Fabaceae, Nyctaginaceae, Ranunculaceae, Sphaeralcea-type, Tubuliflorae/Other Asteraceae, Umbelliferae/Apiaceae not present not present Cupressaceae/Taxaceae, Pinus, Taxodiaceae/Cupressaceae/Taxaceae Poaceae Ericaceae Cyperaceae Ambrosia-type, Artemisia, Brassicaceae, Caryophyllaceae, Cercocarpus-type, Chenopodiaceae/Amaranthus, Ephedra, Eriogonum, Fabaceae, Potentilla-type, Ranunculaceae, Sarcobatus, Saxifragaceae, Sphaeralcea-type, Tubuliflorae/Other Asteraceae, Umbelliferae/Apiaceae not present Acer, Alnus undiff., Anacardiaceae, Aquifoliaceae, Carya, Ceanothus, Clethra, Cornus, Fraxinus, Myricaceae, Ostrya/Carpinus, Populus, Quercus, Rhamnus, Salix, Ulmus Betula undiff., Corylus, Fagus, Larix, Larix/Pseudotsuga, Tilia Castanea, Celtis, Cephalanthus, Fabaceae, Juglans, Magnoliaceae, Morus, Nyssa, Platanus Celtis, Cephalanthus, Liquidambar, Nyssa not present not present Taxodiaceae (Other, in California), Taxodiaceae/Cupressaceae/Taxaceae, Taxodium Aquifoliaceae, Chrysolepis/Lithocarpus, Magnoliaceae, Quercus Aquifoliaceae Ceanothus, Chrysolepis/Lithocarpus, Quercus, Rhamnus Biome reconstructions for western North America 41 Table 5 Assignments of plant macrofossil (midden) taxa from western North America to the PFTs used in the biomization procedure. Abbr. aa bec bs ctc Plant functional type arctic/alpine dwarf shrub boreal evergreen conifer boreal summergreen cool-temperate conifer df desert forb ds desert shrub or succulent Plant macrofossil taxa Cirsium sp., Phlox sp. Juniperus communis, Picea engelmannii, Picea pungens, Picea engelmanii, Pinus flexilis Ribes cf. montigenum, Shepherdia canadensis, Shepherdia sp. Abies concolor, Abies magnifica, Calocedrus decurens, Juniperus communis, Juniperus occidentalis, Juniperus scopulorum, Juniperus sp., Pinus flexilis, Pinus lambertiana, Pinus longaeva, Pinus ponderosa, Pseudotsuga menziesii Abutilon sp., Allionia incarnata, Amaranthus cf. albus, Amaranthus fimbriatus, Amaranthus sp., Amaranthus/chenopodium, Ambrosia confertifolia, Ambrosia sp., Amsinckia intermedia, Amsinckia sp., Amsinckia tesselata, Amsinkia/Cryptantha, Amsonia sp., Argenome sp., Argythamnia lanceolata, Artemisia ludoviciana, Astragalus sp., Bahia absinthifolia, Boerhaavia sp., Boerhaavia wrightii, Brickellia arguta, Chaenactis sp., Chenopodium (cf.), Chenopodium sp., Chorizanthe brevicornu, Cirsium sp., Coldenia canescens, Cryptantha barbigera cf., Cryptantha maritima, Cryptantha racemosa, Cryptantha sp., Cryptantha virginensis, Cucurbita sp., Daucus pusillus, Descurainia sp., Dithyrea californica, Erigeron sp., Eriogonum fasciculatum, Eriogonum sp., Erodium sp., Eucnide urens, Euphorbia cf. polycarpa, Euphorbia micromera/polycarpa, Euphorbia sp., Gilia cf. latifolia, Gilia sp., Gutierrezia lucida, Gutierrezia sarothrae, Gutierrezia sp., Haplopappus brickelliodes, Hedeoma nana, Hedeoma sp., Helianthus sp., Heterotheca sp., Ipomoea or convolvulus, Iva cf. ambrosiaefolia, Kallstroemia sp., Lappula redowskii, Lappula sp., Lepidium fremontii, Lepidium sp., Leptodactylon pungens, Lesquerella sp., Lotus sp., Lupinus sp., Machaeranthera sp., Mentzelia multiflora-type, Mentzelia sp., Mirabilis bigelovii, Mirabilis multiflora, Mirabilis sp., Oenothera (cf.), Oenothera pallida, Pectocarya cf. recurvata, Pectocarya heterocarpa, Pectocarya sp., Penstemon sp., Perityle emoryi, Physalis crassifolia, Physalis sp., Plantago insularis, Plantago sp., Polygonum sp., Portulaca oleracea, Psoralea sp., Salazaria mexicana, Salvia sp., Senecio sp., Sphaeralceatype, Sphaeralcea ambigua, Sphaeralcea sp., Stanleya pinnata, Stephanomeria exiqua, Streptanthus sp., Strepthanthus cordatus, Thysanocarpus sp., Tidestromia oblongiflolia, Tidestromia lanuginosa, Verbena sp., Viguiera reticulata, Viguiera sp. Acacia greggii, Agave lecheguilla, Agave neomexicana, Agave sp., Agave utahensis, Aloysia wrightii, Ambrosia dumosa, Atriplex canescens, Atriplex polycarpa, Berberis haematocarpa, Brickellia desertorum, Brickellia longiflora, Brickellia or eupatorium, Brickellia sp., Buddleja utahensis, Cactaceae undet., Ceanothus greggii, Celtis pallida, Choisya dumosa, Chrysothamnus nauseosus ssp. bigelovii, Chrysothamnus teretifolius, Coleogyne ramosissima, Coryphantha strobiliformus, Cowania mexicana (cf.), Croton sonorae, Dalea fremontii, Dalea sp., Dasylirion sp., Dasylirion wheeleri, Ditaxis lanceolata, Echinocactus horizonthalonius, Echinocereus sp., Encelia farinosa, Encelia frutescens, Encelia virginensis, Ephedra aspera, Ephedra nevadensis, Ephedra sp., Ephedra torreyana, Ephedra trifurca-type, Ericameria larcifolia, Eriogonum heermannii, Eriogonum sp., Fallugia paradoxa, Ferocactus-type, Ferocactus covellei, Forsellesia nevadensis, Forsellesia spinescens, Fouquieria columnaris, Fouquieria splendens, Grayia spinosa, Gutierrezia microcephala, Haplopappus cooperi, Haplopappus laricifolius, Horsfordia, Hymenoclea salsola, Hyptis emori, Janusia gracilis, Koeberlinia spinosa, Krameria grayi, Krameria parvifolia, Larrea divaricata, Lycium andersonii, Lycium cf. berlandieri, Lycium pallidum, Lycium sp., Machaeranthera tortifolia, Mammillaria tetrancistra, Menodora spinescens, Mortonia scabrella, Neolloydia johnsonii, Nicotiana trigonophylla, Nolina micrantha, Opuntia, Opuntia acanthocarpa, Opuntia arbuscula, Opuntia basilaris, Opuntia bigelovii, Opuntia chlorotica, Opuntia echinocarpa, Opuntia erincea, Opuntia Biome reconstructions for western North America ds2 frost-sensitive desert shrub or succulent ec g eurythermic conifer grass h s sf heath sedge steppe forb ss steppe shrub 42 fulgida, Opuntia imbricata, Opuntia kunzei, Opuntia leptocactus, Opuntia phaeacantha-type, Opuntia ramosissima, Opuntia sp., Opuntia versicolor, Peucephyllum schottii, Phoradendron californicum, Prosopis glandulosa, Prosopis juliflora, Prunus fasciculata, Prunus sp., Psoralea sp., Psorothamnus fremontii, Rhus diversiloba, Rhus microphylla, Salvia mohavensis, Salvia sp., Simmondsia chinensis, Solanum hindsianum, Tetradymia axillaris, Tetradymia spinosa, Thamnosma montana, Thamnosma sp., Trixis californica, Viquiera stenoloba, Yucca angustifolia, Yucca angustissima, Yucca baccata (cf.), Yucca baccata/torreyi, Yucca brevifolia, Yucca schidigera, Yucca sp., Yucca torreyi, Yucca whipplei, Yucca whipplei ssp.caepitosa Agave subsimplex, Bursera micophylla, Cactaceae undet., Carnegiea gigantea, Cercidium, Cercidium floridum, Cercidium microphyllum, Cereus giganteus, Ferocactus-type, Ferocactus acanthodes, Ferocactus cylindraceus, Jatropha cuneata, Lophocereus schottii, Olneya tesota, Pachycereus pringlei, Prosopis juliflora var. velutina, Prosopsis velutina, Sapium biloculare, Stenocereus thurberi, Tetradymia sp. Cupressaceae, Pinus sp. Agropyron cf. spicatum, Agropyron sp., Andropogon barbinodis/saccharoides, Aristida adscencionis, Aristida sp., Avena/festuca type, Bouteloua aristidoides, Bouteloua barbata, Bouteloua curtipendula, Bouteloua eriopoda, Bouteloua gracilis, Brickellia arguta, Bromus anomalus, Bromus rubens, Bromus sp., Bromus tectorum, Digitaria californica, Echinochloa crusgallii, Elymus sp., Enneapogon desvauxii, Eragrostis sp., Erioneuron grandiflorum, Erioneuron pulchellum, Festuca sp., Filago sp., Gramineae undet., Hilaria jamesii, Leptochloa dubia, Muhlenbergia microsperma, Muhlenbergia monticola, Muhlenbergia pauciflora, Muhlenbergia sp., Oryzopsis hymenoides, Oryzopsis sp., Panicum capillare, Panicum cf. hallii, Poa sandbergii, Poaceae undet, Setaria cf. leucophila, Setaria macrostachya, Sitanion hystrix, Stipa arida, Stipa cf. lobata, Stipa comata, Stipa neomexicana, Stipa occidentalis, Stipa sp., Stipa speciosa, Stipia arida cf., Tridens muticus Arctostaphylos pungens, Arctostaphylos sp. not present Allionia incarnata, Amaranthus cf. albus, Amaranthus sp., Amaranthus/chenopodium, Ambrosia confertifolia, Ambrosia sp., Amsinckia sp., Amsinkia/Cryptantha, Angelica sp. cf., Argenome sp., Artemisia ludoviciana, Artemisia sp., Astragalus sp., Chaenactis sp., Chenopodium (cf.), Chenopodium sp., Cirsium sp., Cryptantha sp., Cryptantha virginensis, Cucurbita sp., Daucus pusillus, Descurainia sp., Ericameria cuneata, Erigeron sp., Eriogonum fasciculatum, Eriogonum sp., Erodium sp., Euphorbia sp., Gilia sp., Gutierrezia lucida, Gutierrezia sarothrae, Gutierrezia sp., Hedeoma nana, Hedeoma sp., Helianthus sp., Ipomoea or convolvulus, Lappula redowskii, Lappula sp., Lepidium fremontii, Lepidium sp., Leptodactylon pungens, Lesquerella kingi, Lesquerella sp., Linum lewisii, Linum sp., Lithospermum sp., Lotus sp., Lupinus argenteus, Lupinus sp., Machaeranthera sp., Mentzelia multiflora-type, Mentzelia sp., Mirabilis bigelovii, Mirabilis multiflora, Mirabilis oxybaphoides, Mirabilis sp., Oenothera (cf.), Oenothera pallida, Pectocarya heterocarpa, Pectocarya sp., Penstemon breviflorus, Penstemon sp., Phacelia sp., Phlox sp., Physalis sp., Plantago insularis, Plantago sp., Polygonum sp., Portulaca oleracea, Psoralea sp., Senecio sp., Sphaeralcea-type, Sphaeralcea sp., Stanleya pinnata, Stephanomeria exiqua, Streptanthus sp., Strepthanthus cordatus, Verbena sp., Viguiera sp. Amelanchier sp., Amelanchier utahensis, Artemisia frigida, Artemisia sp., Artemisia spinescens, Artemisia tridentata, Atriplex canescens, Atriplex confertifolia, Atriplex polycarpa, Berberis fremontii, Berberis haematocarpa, Brickellia sp., Buddleja utahensis, Cactaceae undet., Ceanothus greggii, Ceratoides lanata, Cercocarpus ledifolius, Chamaebatiaria millefolium, Chrysothamnus greenei, Chrysothamnus nauseosus, Chrysothamnus nauseosus ssp. bigelovii, Chrysothamnus sp., Chrysothamnus teretifolius, Chrysothamnus viscidiflorus, Coryphantha strobiliformus, Cowania mexicana (cf.), Biome reconstructions for western North America ts temperate summergreen ts1 ts2 ts3 wc cool-temperate summergreen intermediate-temperate summergreen warm-temperate summergreen woodland conifer ws woodland shrub wtc wte warm-temperate conifer warm-temperate broadleaved evergreen cool-temperate broadleaved evergreen warm-temperate sclerophyll shrub wte1 wte2 43 Dasylirion sp., Dasylirion wheeleri, Echinocactus polycephalus, Echinocereus sp., Ephedra nevadensis, Ephedra sp., Ephedra torreyana, Ephedra trifurca-type, Ephedra viridis, Ericameria larcifolia, Eriogonum sp., Fallugia paradoxa, Forsellesia nevadensis, Grayia spinosa, Gutierrezia microcephala, Lycium pallidum, Mammillaria-type, Mammillaria microcarpa, Mammillaria sp., Menodora spinescens, Nolina micrantha, Opuntia, Opuntia arbuscula, Opuntia basilaris, Opuntia bigelovii, Opuntia chlorotica, Opuntia erincea, Opuntia fulgida, Opuntia imbricata, Opuntia leptocactus, Opuntia phaeacantha-type, Opuntia polyacantha, Opuntia sp., Opuntia spinosior, Opuntia whipplei, Petrophytum caespitosum, Psoralea sp., Purshia tridentata, Rhus diversiloba, Ribes cereum, Ribes sp., Ribes velutinum, Salvia carnosa, Salvia sp., Shepherdia argentea, Symphoricarpo ssp., Symphoricarpos longiflorus, Symphoricarpos sp., Tetradymia axillaris, Tetradymia sp., Tetradymia spinosa, Tidestromia oblongiflolia, Yucca angustifolia, Yucca angustissima, Yucca harrimaniae, Yucca sp. Amelanchier sp., Amelanchier utahensis, Ceanothus cuneatus, Ceanothus integerrimus, Celtis reticulata, Cercis occidentalis, Cercocarpus sp., Fraxinus anomala, Berberis repens, Ostrya knowltoni, Physocarpus alternans, Prunus sp., Ptelea trifoliata var. pallida, Quercus arizonica x Q. grisea, Quercus gambellii, Quercus grisea, Quercus sp., Rhus aromatica, Rhus aromatica or virens, Rhus diversiloba, Rhus sp., Rhus trilobata, Ribes cf. montigenum, Ribes sp., Rosa sp., Rubus sp., Sambucus neomexicana, Shepherdia sp. not present Robinia neomexicana Prosopis glandulosa Juniperus deppeana, Juniperus erythrocarpa, Juniperus monosperma (cf.), Juniperus occidentalis, Juniperus osteosperma, Juniperus pinchotii, Juniperus scopulorum, Juniperus sp., Parthenium incanum, Parthenium sp., Pinus cembroides, Pinus discolor, Pinus edulis, Pinus edulis/remota, Pinus flexilis, Pinus monophylla, Pinus monophylla x P. edulis Aloysia wrightii, Amelanchier sp., Amelanchier utahensis, Aplopappus cuneatus, Berberis fremontii, Berberis haematocarpa, Berberis repens, Berberis sp., Brickellia watsonii, Cactaceae undet., Ceanothus cuneatus, Ceanothus greggii, Cercocarpus betuloides, Cercocarpus intricatus, Cercocarpus ledifolius, Cercocarpus montanus, Cercocarpus sp., Chamaebatiaria millefolium, Cowania mexicana (cf.), Ericameria cuneata, Eriogonum heermannii, Eriogonum sp., Fendlerella utahensis, Forsellesia nevadensis, Forsellesia pungens, Fraxinus anomala, Garrya flavescens, Haplopappus laricifolius, Haplopappus nanus, Holodiscus dumosus, Holodiscus microphyllus, Jamesia americana, Mammillaria-type, Mammillaria grahamii, Mammillaria sp., Menodora spinescens, Opuntia polyacantha, Opuntia sp., Pediocactus mesaeverdae, Philadelphus microphyllus, Physocarpus alternans, Prunus fasciculata, Prunus sp., Psoralea sp., Ribes cereum, Ribes cf. montigenum, Ribes sp., Ribes velutinum, Rosa cf. stellata, Salvia carnosa, Shepherdia argentea, Shepherdia sp., Symphoricarpo ssp., Symphoricarpos longiflorus, Symphoricarpos sp., Tetradymia axillaris, Tetradymia spinosa, Thamnosma montana Cupressus arizonicus, Pinus cembroides, Pinus discolor, Torreya californica Arctostaphylos pungens, Arctostaphylos sp., Cercocarpus betuloides, Cercocarpus sp., Quercus chrysolepis, Quercus pungens, Rhamnus crocea, Rhamnus crocea var. Ilicifolia, Umbellularia californica not present Berberis sp., Ceanothus greggii, Quercus sp., Quercus turbinella, Quercus undulata, Vauquelinia californica Biome reconstructions for western North America Table 6 Assignment of PFTs to biomes used in the biomization for western North America. Biome Code Plant functional types cold deciduous forest CLDE bs, ec, h taiga TAIG bec, bs, ec, h cold mixed forest CLMX bs, ctc, ec, h, ts1 cool conifer forest COCO bec, bs, ctc, ec , h, ts1 temperate deciduous forest TEDE bs, ec, h, ts, ts1, ts2, wte1 cool mixed forest COMX bec, bs, ctc, ec, h, ts, ts1 broadleaved evergreen/warm mixed forest WAMX ec, wtc, h, ts, ts3, wte, wte1 xerophytic woods/scrub XERO ec, wc, ws, wte, wte2 steppe STEP g, s, sf, ss desert DESE df, ds, ds2, g tundra TUND aa, g, h, s open conifer woodland OC ec, sf, ss, wc, ws 44 Biome reconstructions for western North America 45 Table 7 Climatic tolerances of biomes in western North America, based on (a) present-day potential natural vegetation, and (b) present-day pollen and plant macrofossil assemblages. MTCO temperatures are approximated to the nearest 2.5° C; GDD5 values to the nearest 500 growing-degree days; and α values to the nearest 0.05. The values in 7 (a) were obtained through visual inspection and interpretation of Figs 5 and 6; the values in 7 (b) through visual inspection and interpretation of Fig. 5. Cold deciduous forests and xerophytic woods/scrub are omitted from 7 (b) because they only occur once. a) Biome MTCO min MTCO max GDD5 min GDD5 max α min α max cool conifer forest -12.5° 5.0° 500 2500 0.45 0.95 xerophytic woods/scrub 2.5° 12.5° 2000 5000 0.30 0.70 grassland -15.0° 7.5° 1500 5000 0.35 0.70 steppe -10.0° 0.0° 1000 3000 0.15 0.55 desert 0.0° 12.5° 3000 6500 0.05 0.40 tundra -12.5° -2.5° <500 1000 0.75 1.00 open conifer woodland -10.0° 5.0° 1000 3500 0.20 0.65 Biome MTCO Min MTCO Max GDD5 Min GDD5 Max α Min α Max taiga -10.0° -7.5° 500 500 0.75 0.85 cool conifer forest -7.5° 5.0° 500 2500 0.60 1.00 grassland/steppe -10.0° 0.0° 500 2000 0.40 1.00 desert 0.0° 7.5° 2000 6500 0.05 0.45 open conifer woodland -10.0° 5.0° 500 3500 0.20 0.70 b)
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