Limnol. Oceanogr., 41(2), 1996,243-252 0 1996, by the American Society of Limnology and Oceanography, Inc. An appraisal of the Allen paradox in a New Zealand trout stream Alexander D. Huryn Department of Zoology, POB 56, University of Otago, Dunedin, New Zealand Abstract Studies of invertebrate production in trout streams have often shown prey production to be insufficient to support trout production while simultaneously providing a reasonable surplus of prey (Allen paradox). The Allen paradox was explained by analyzing a comprehensive production budget for a trout stream in New Zealand. Budget compartments included primary production, production by brown trout and surficial and hyporheic macroinvertebrates, input of terrestrial invertebrates, and cannibalism by trout. Ecological efficiencies from the literature were used to estimate food demands. Although much of the food demand by trout was apparently derived from surficial macroinvertebrates, a balanced-budget was obtained only when all other prey sources were included. The budget indicated that surplus production by benthic macroinvertebrates was nil. However, given the uncertainty of budget statistics, surpluses as high as - lo-20% would probably not be detected. Secondary production by primary consumers required only -20% of total primary production, indicating strong top-down control of herbivory by trout. Results from this study, other recent studies showing strong effects of trout on stream food webs, and the long tradition of the Allen paradox suggest that in productive streams (> 100 kg wet mass trout ha-l yr- I) trout may consume most (> 80%) benthic prey production. For the past four decades, analyses of production budgets for trout streams have generally shown that prey reliable estimates. Most estimates of total available prey production is insufficient to support trout production while simultaneously providing a reasonable surplus of prey 1988), so it is usually concluded the Allen paradox exists because important food resources used by trout are underestimated. Although they are recognized as important are thought (Waters 1988). This discrepancy, first described by Allen (195 l), is known as the Allen paradox (Hynes 1970). Waters (1988) reviewed the historical and current status of the Allen paradox and concluded that of 12 trout streams for which information on production by the macroin- vertebrate community was provided, data from only two streams showed a reasonable surplus of prey production (Bere Stream, England; Hinau Stream, New Zealand). The remaining studies provided estimates of prey production that were too low to support observed trout production. Although recognition of the Allen paradox as an important methodological challenge has continued to the present day (Benke 1993; Allan 1995), there have been few comprehensive attempts to provide balanced production budgets for trout streams (Waters 1988, 1993). The Allen paradox is problematical because it suggests that methods currently used to construct production budgets lack the precision or accuracy needed to provide Acknowledgments I acknowledge the assistance of C. J. Arbuckle, V. M. Butz Huryn, and R. G. Young. Additional assistance in the field and laboratory was provided by A. S. Flecker, E. D. Edwards, B. Hollow, L. Kirk, F. J. Lester, K. Suberkropp, R. T. Wass, and N. Whitmore. M. R. Scarsbrook first showed that Olinga occurs deep within the hyporhcos. M. McDonald granted accessto the field site. T. J. Kwak supplied the software used to estimate trout production and biomass. Important logistical support was provided by V. Allen and M. McKenzie. Comments from S. Twombly enhanced the clarity of an earlier version of the paper. This research was supported by grants from the New Zealand Foundation for Research Science and Technology and the Division of Sciences, University of Otago. to be biased toward the low side (Waters qualitative components of salmonid food webs, prey from riparian sources, the hyporheic zone, or from cannibalism are almost never quantified (Waters 1988, 1993). Uncertainty about the Allen paradox is further compounded by lack of knowledge concerning the ecotrophic coefficient the proportion of prey production removed by harvest or consumption (Ricker 1946). Regardless of the detail included in any budget, the ability to ascertain whether a budget is balanced is severely compromised by difficulties in estimating the precision of production estimates (Morin et al. 1987). In this paper, the Allen paradox is explored by analyzing a comprehensive production budget for a high-country trout stream in New Zealand. Data comprising the different compartments of the budget were collected from November 199 1 through December 1994. Major com- partments include annual production by primary producers, primary and secondary consumers (surficial and hyporheic macroinvertebrates), and brown trout (Salmo trutta L.). Additional compartments include annual input of terrestrial invertebrates and potential cannibalism by trout. Ecological efficiencies from the literature were used to estimate food demands for each category of consumers. Finally, estimates of uncertainty are provided for each compartment. Study site Sutton Stream is a tributary of the Taieri River in the southeastern part of South Island, New Zealand (Fig. 1). The Sutton Stream catchment, which lies between the Lammerlaw and the Rock and Pillar ranges, is incised 243 244 Huryn Taieri River Catchment Fig. 1. Map of New Zealand showing location of the Taieri River catchment and Sutton Stream. and rugged, with bedrock composed entirely of schist. At the study site, the altitude is -600 m and the aspect is NE. Land cover is mainly introduced pasture grassesand native tussock grasses. Land use consists of extensive grazing by livestock. The 400-m study reach has no canopy, although there are native shrubs (e.g. Coprosma spp., Carmichaelia sp.) along the stream margins. The channel form is debris regulated and composed mainly of runs and cascades with substrata consisting of poorly sorted rubble. The stream has an average width of 3.6kO.2 m (x+ SE). During the study, mean discharge was 175 + 62 liter s-l, and concentrations of P04- and N03- were 8 * 1 and 30 & 2 1 pg liter- l. Average daily water temperature ranged from 0.0 to 19.5”C with an annual average of 6.2”C; diel fluctuation may be as high as 10°C during summer. Sutton Stream is inhabited by an abundant population of brown trout probably introduced to the lower reaches before 1890 (Thompson 1922). The trout are not harvested by anglers. There are no other fish species in the study reach. Further information about Sutton Stream is available elsewhere (Young et al. 1994). Methods Primary production - Primary production was estimated by measuring 14C uptake by substrata placed in submersed 17-liter recirculating chambers. Samples, sized to -9 cm2 with a mallet and chisel, were taken from 12 randomly selected locations on eight seasonal dates between December 1992 and December 1993. Incubation began at - 1300 hours with injection of 7 ml of NaH14C03 (185 MBq ml- l) into each of three chambers (four samples per chamber). After -2 h, samples were removed, rinsed with acidified stream water, and placed in 50 ml of dimethyl sulfoxide to extract 14C-labeled photosynthate (Filbin and Hough 1984). After extraction, two 1-ml subsamples were taken from each extract, added to 10 ml of PCS in :!O-ml scintillation vials, and assayed with a Packard Tri-carb 1900CA liquid scintillation analyzer. In February 1993, the procedure was repeated with chambers completely covered with aluminum foil to estimate uptake of 14C in complete darkness. The ratio of total available inorganic C to available 14Cwas used to convert dpm cm-2 h-l to mg C fixed cmm2h-l (Wetzel and Likens 1979). During each incubation, concentration of ambient 14C was monitored according to Iverson et al. (1976). Sample areas were estimated by covering appropriate surfaces with aluminum foil and determining foil area from its density. An:lual production (mg C m-2) was estimated as the product of the average production between sampling intervals. the number of hours of available daylight (excluding twilight), and a correction of - 10% for nighttime respiratic’n. Benthic macroinvertebrates - Sixteen benthic samples were taken or. 11 dates between December 199 1 and December 1992 with a 900-cm2 Surber sampler fitted with a 230-pm net. Sample locations were randomly assigned via a grid system. In areas of unconsolidated substrata, the streambed was sampled to a depth of - 10 cm. Over bedrock substrata, a roll of terry cloth was attached to the Surber frame, effectively sealing the sampler against the stream botr.om. Macroinvertebrates collected by these procedures are considered surficial. All samples were preserved in 6-8% Formalin and stained with phloxine B. Animals were removed from the samples by hand under 15 x magnification, identified to the lowest practical taxonomic level (usually genus), and their lengths measured (+0.5 mm). Annual production was calculated by the size-frequency method (Benke 1984, 1993). Abundances were corrected for unequal sampling intervals according to Krueger and Martin (1980). Production was corrected for the cohort produclion interval (CPI) following Benke (1984). CPIs for most taxa were determined from length-frequency histograms constructed for each sarnple date. DeZeatidium (Ephemeroptera: Leptophlebiidae), Olinga (Trichoptera: Conoesucidae), and Potamopyrgus (Prosobranchia: Hydrobiidae) were expected to be characterized by numerous overlapping cohorts (e.g. Collier and Winterbourn 1990; pers. obs.). For these taxa, CPIs were modeled with temperature, density, and size-specific growth data derived from in situ rearings of individuals in growth chambers according to Huryn (1990). The CPI for oligochaetcs was assumed to range from 365 to 730 d (Brinkhurst and Cook 1979). Ash-free dry mass (AFDM) was estimated from significant (P < 0.05) regressions of In-transformed AFDM on In-transformed body length. AFDM was determined according to Huryn (1990). Regressions were based on - 30 individuals representing the observed size range for each of the major taxa. The efficiency of Surber sampling was assessedby sampling replicated enclosures. Enclosures were 2-m lengths of 36-cm-i.d. :PVC pipe cut lengthwise and anchored in The Allen paradox riffles. Each enclosure was filled with a heterogeneous assortment of gravel-cobble-size particles and allowed to colonize for - 1 month. After colonization, a drift net was attached to the downstream end of each enclosure and three Surber samples were taken following procedures described above. After sampling, remaining substrata were removed from each enclosure and elutriated. The sum of macroinvertebrate biomass from each of the three Surber samples, drift net, and excess substrata was assumed to represent the true biomass in each of the three enclosures (= B,,,). Macroinvertebrates from the Surber samples (= &) were used to estimate B,,,. Btrueand Best.were compared with unpaired two-tail t-tests and In-transformed data [ln(x + l)]. Hyporheic macroinvertebrates - From December 1993 through December 1994, substrata were sampled to 40 cm at eight locations with colonization pots. Pots consisted of 45-cm lengths of 10.5-cm-i.d. PVC pipe with three 15-cm inserts. Each assembly was drilled with 1-cm holes spaced - 1 cm apart to allow horizontal entry by macroinvertebrates. Each insert had a 230-pm-mesh bottom to stop macroinvertebrates from traveling vertically between inserts. Inserts were filled with graded pebbles (16-32 mm), and the assembly was buried to a depth of -40 cm and allowed to colonize for 3 + months. Sampling (four dates) involved removal of the pots, elutriation of macroinvertebrates from each insert, and reburial. Macroinvertebrates were processed as above. Macroinvertebrates > 10 cm below the streambed were considered hyporheic. Proportions of macroinvertebrate biomass and abundance in hyporheic inserts (e.g. lo-25- and 25-40-cm depths) were calculated relative to the biomass and abundance within the top insert (surficial, < 10 cm). These data were used to estimate taxon-specific biomass and production within the hyporheos as the product of the proportional representation of biomass in each insert and the biomass and P : B ratios estimated from the December 199 1 through December 1992 data for surficial macroinvertebrates. This procedure was followed to account for differences in the macroinvertebrate community between years (1992 vs. 1994) and for differences in abundance because of the heterogeneity of ambient substrata and the uniform substrata used in the colonization pots. The extent of the hyporheic zone was estimated by driving a steel rod ( 1.5-cm diam) into the streambed and measuring the depth of penetration. Sample positions were located at 1-m intervals along successive 30-m transects throughout the length of the study reach. From these data, I estimated the area of streambed extending to depths > 10 cm. These estimates were used to weight hyporheic biomass and production to provide values per square meter of streambed. Terrestrial macroinvertebrates- Annual input of winged insects from terrestrial sources was estimated by means of an empirical model derived for Sutton Stream (Edwards and Huryn 1995). In summary, three 10-m sections of the study reach were blocked with l-mm-mesh drift 245 nets. The upper net intercepted material originating above the study section. The lower net collected material that entered the study section. Trout were excluded from surface feeding by placing a mesh barrier over the entire bottom of the stream between drift nets. Estimates of biomass input, based on winged insects collected in six 24-h periods over a 1-yr period, were used to produce the following regression model: Bf = 0.008 T2.430;n = 6, r2 = 0.98, P < 0.001. &is the biomass of winged insects (mg AFDM m-2 d-l) and T is average daily water temperature (“C) (Edwards and Huryn 1995). Annual input of winged insects was estimated as a function of mean daily water temperature measured from December 199 l-December 1992 with a submersible temperature recorder. Daily inputs of wingless invertebrates of terrestrial origin did not follow predictable seasonal trends; therefore, average daily input (l.lkO.6 mg AFDM m-2 d-l, x&SE) was used to estimate annual input (Edwards and Huryn 1995). Inputs were assumed to be nil on days when mean temperature was 15°C. Trout -Trout were sampled by electric fishing on two dates during November 199 1 and November 1992. Befort sampling, the study reach was divided into 12 subsections (-30 m) with stop nets. On the first date of each November sampling period, trout captured during a single pass were anaesthetized, measured for length (mm) and wet weight (0.1 g), and marked by either removing the adipose fin or by subcutaneously injecting an aqueous solution of Alcian Blue (Kelly 1967). Trout were resampled -2 weeks later, and abundance and biomass estimates were made with the mark-recapture module provided by Pop/Pro (Kwak 1992). On each date, ages of trout were determined by using sectioned otoliths (Hall 1991). Estimates of age were validated by observing marked fish and by changes in annual length-frequency plots over a 3-yr period of additional study (1992-l 995). During each sampling period, a subsample of trout representing the available size range was dried to constant mass at 60°C and ashed at 500°C for a minimum of 4 h to yield AFDM as the difference between dry mass and ash mass. Length-specific biomass was estimated with regressions of AFDM against length. The taxonomic composition and biomass of invertebrates comprising the stomach contents were also determined. Trout abundance, biomass, and annual production (mg AFDM m-2’ + 95% C.I.) were estimated with the instantaneous growth module provided by Pop/Pro (Kwak 1992). Trout production potentially lost to cannibalism was estimated by subtracting the biomass of the 0+ cohort remaining during the November 1992 sampling period from the production of this cohort from November 1991-November 1992. Budget -Food demand by consumers was estimated as the product of the reciprocal of gross production efficiency and production, where the gross production efficiency is the product of assimilation efficiency and net production 246 Huryn Table 1. Summary of ecological efficiencies used to calculate food demands by different consumer groups. AE-Assimilation efficiency (assimilation : consumption); NPE-net production efficiency (production : assimilation); GPE-gross production efficiency (production : consumption). T-Trichoptera; D-Diptera; E-Ephemeroptem; M-Megaloptera; PL-Plecoptera. AE Consumers Food NPE GPE Source (%) Primary Glossosoma (T) Simulium (D) Hydropsyche (T) Stenonema (E) Tricorythodes (E) Primary/secondary Hydropsyche (T) Diplectrona (T) Secondary Corydalus (M) Acroneuria (PL) Acroneuria (PL) Trout Epilithon Diatoms Diatoms Diatoms Diatoms 24 57 36-49 53 28-47 26 51 70 27 65 6 29 25-34 14 18 Algae/ Tubifex Algae/Tubifex - 41-52 44-5 1 - Edington and Hildrew 1973 Edington and Hildrew 1973 Chironomids Chironomids 82 80-86 86 66 41 56 33 Brown and Fitzpatrick 1978 Brocksen et al. 1968 Heiman and Knight 1975 Four studies summarized by Waters 1988 Calculated for Sutton Stream following Elliot 1976 Hydropsyche/Simulium Salmo trutta Invertebrates - - 16-23 S. trutta Amphipods - - 23 Because I did not measure ecological efficiencies, I calculated food demand by means of efficiencies Cummins 1975 McCullough et al. 1979a McCullough et al. 1979a Trama 1972 McCullough et al. 19793 Estimates of uncertainty-Approximate 9 5% confidence intervals were derived for budget statistics by bootstrapping-a nonparametric resampling technique (Effron and Tibshirani 1993). Bootstrapping is used to estimate the uncertainty of variables with unknown or complex frequency distributions and for situations in which consumer food demand). For each vector, a mean and approximate 95% C.I. (C.I.,) was calculated by the biascorrected percentile method (Meyer et al. 1986). For specific parameters, the bootstrapping procedure was modified. First, for estimates of macroinvertebrate production using the size-frequency method, choice of CPI has large oonsequences for final values (Short et al. 1987), but the error associated with this parameter has never been included in calculations of the uncertainty of size-frequency production estimates (Krueger and Martin 1980; Morin et al. 1987; Short et al. 1987). In practice, CPI is usually derived as the median period required for the completion of somatic growth by the individuals comprising a cohort. To account for the uncertainty inherent in this procedure, I assumed that estimates of CPI are normally distr: buted about the median with 95% confidence boundaries that include the minimum and maximum possible CPI as determined from field data. A normal distribution constructed on the basis of these parameters was used to produce a vector of 1,000 randomly logistical drawn values. These values were used to adjust the vector efficiency. summarized from the literature following the method of Benke and Wallace (1980). Although any single estimate should be suspect, groups of efficiencies selected from diverse sources are generally consistent for a given category of consumers (Pandian and Marian 1986). The sources and values of ecological efficiencies are summarized in Table 1. Food demand was estimated for each trophic category: macroinvertebrate browsers of stone organic layers (primary consumers), predatory macroinvertebrates (secondary consumers), and brown trout (top consumer). constraints do not allow sufficient replication (e.g. production studies, Morin et al. 1987). At minimum, bootstrapping provides an estimate of the uncertainty inherent in a particular data set and the methods used to describe a given parameter. However, if the data are unbiased and of sufficient coverage, bootstrapping will provide an estimate of the true probability distribution underlying that parameter (Effron and Tibshirani 1993). Estimates of uncertainty for this study were derived by randomly resampling every data set with replacement until 1,000 data sets were produced. These recombined data sets were used to produce vectors of 1,000 estimates for each parameter (production, biomass, P : B, abundance, of bootstrap estimates of uncorrected production. Second, vectors of trout production were compiled with values randomly drawn from a normal distribution constructed on the basis of descriptive statistics provided by the original estimate (Kwak 1992). Results Primary proakction -Temporal variation of primary production was strongly seasonal, ranging from 11+ 3 mg C mm2h-l (x? SE) in July (austral winter) to 113 + 22 in , 247 The Allen paradox Primary production Primary consumer demand Primary consumer productlon Primary consumer production Secondary consumer demand Secondary consumer production Benthic secondary productlon Trcut production Trout demand Fig. 2. Estimates of primary production and consumer production and demand for Sutton Stream. (Note change in scale.) Error bars = 95% bootstrap confidence intervals. February (austral summer). Substrata incubated in total darkness showed rates of 14C uptake -3% of those incubated under ambient afternoon light. Annual primary production was estimated to be 155 + 37 g C m-2 (x+ 95% C.I+). Because periphyton in Sutton Stream is predominantly composed of diatoms (pers. obs.), carbon values were converted to AFDM using a factor of 2 x (=3 10 + 74 g AFDM m-2 yr- l; Fig. 2) (McCullough et al. 1979a). Eficiency of surjcial sampling- Mean biomass was underestimated for nine and overestimated for 10 taxa; however, a significant differences (P < 0.05) between Best.and B,,, were detected only for Psilochorema and Tiphobiosis (Table 2). Taxa that were major contributors to secondary production had P-values ranging from 0.20 to 0.96 (Table 2). Surficial primary consumers-Total surficial production by primary consumers was 11,209 f 2,294 mg AFDM m-2 yr-l (x+C.I.,), and P: B was 6.9+ 1.3. The major contributor was the diamesine chironomid Maoridiamesa (Table 3). This substantial production (25% of total) was due to relatively high biomass and a bivoltine life cycle. Other chironomids, primarily the Orthocladiinae (morphotype “a,” cf. Cricotopus, Eukiefiriella; Table 3), contributcd an additional 10% to total surficial production. The relatively high collective P : B of the chironomids (10.7) greatly influenced the grand P: B, which was reduced to 5.8 when chironomids were excluded. Becauseof relatively short CPIs and high turnover rates (P: B = 9-l 7), Deleatidium (17%), Austrosimulium (1O%), and Zelandoperla (8%) also showed substantial production. Other major contributors, Olinga (9%) and Aoteapsyche (7%), had moderate P: B (3-7) but relatively high biomass. Because it is an omnivore (Crosby 1975; Hopkins 1976), production by Aoteapsyche (1,855 mg AFDM m-2 yr-l) was divided between primary (40%) and secondary consumers (60%) following Hopkins (1976) and Benke and Wallace (1980). Hyporheic primary consumers-Measurements taken at 406 locations showed that 49% of the streambed extends to depths 5 10 cm (includes exposed bedrock, 27%), 37% extends from lo-25 cm, and 11% extends from 25-40 cm. Only 3% of the streambcd extends to depths >40 cm. The hyporheic zone of Sutton Stream is limited in extent because the channel is highly constrained by bedrock. Total production by hyporheic primary consumers was 2,144+ 1,500 mg AFDM mm2 yr-l (x&C.I.,), and P : B was 4.4 (Table 4). Major contributors included Olinga (40%), Oligochaeta (19%), and Potamopyrgus (15%). The chironomids contributed substantially less to hyporheic compared to surficial production (17 vs. 35%). Only the Oligochaeta showed higher hyporheic than surficial production, although the difference is not significant (cf. C.I+, Tables 3, 4). Table 2. Summary statistics for assessment of efficiency of surficial sampling. II,.,. - Composite mean of three Surber samples taken from each of three colonized enclosures; B,,, - mean of total macroinvertebrate biomass in each of three colonized enclosures; P-result of two-tail unpaired t-test comparing II,,,, and B,,, (df = 4) with ln(x + 1) - transformed data. TTrichoptera; D- Diptera; M - Megaloptera; E- Ephemeroptera; G-prosobranch gastropod; PL-Plecoptera. B est. Aoteapsyche (T) Aphrophila (D) Archechauliodes (M) Austrosimulium (D) Coloburiscus (E) Deleatidium (E) Hydrobiosis (T) Maoridiamesa (D) Neurochorema (T) Oligochaeta Olinga (T) Orthocladiinae (D) Polyplectropus (T) Potamopyrgus (G) Psilochorema (T) Pycnocentria (T) Stenoperla (PL) Tiphobiosis (T) Zelandoperla (PL) B true (mg AFDM 263 1 143 38 432 413 48 79 10 1 332 29 <l <l 5 3 48 4 53 m-2) Btrue : B,,,. 304 1.16 1 0.81 278 1.95 23 0.59 719 1.66 484 1.17 63 1.30 43 0.54 3 0.35 <l 0.23 475 1.43 13 0.46 ’ <l 0.00 1 2.78 10 0.74 3 1.80 57 1.18 3 0.64 57 1.07 P 0.69 0.91 0.20 0.96 0.42 0.68 0.48 0.35 0.92 0.15 0.72 0.12 0.37 0.43 0.02 0.71 0.25 0.03 0.50 248 Huryn Table 3. Summary of production data for primary consumers from substrata < 10 cm below bed of Sutton Stream. N-Abundance (ind. m-“); B-bi omass (AFDM, mg m-‘); P-production (AFDM, mg rnb2 yr - l). N, B, P given + 95% C.I. CPI,i, and CPI,,, Apparent minimum (maximum) cohort production intervals (d). 0+ and 2 + yr pi.ey-Biomass of macroinvertebrate taxa taken from 0 + yr (n = 13) and 2+ yr (n = 33) trout collected in November 199 1 and November 1992; prey biomass (mg AFDM) given per unit trout biomass (g AFDM) + SE. D-Diptera; E-Ephemeroptera; T-Trichoptera; PL-Plecoptera; G-prosobranch gastropod; C-Coleoptera. Taxa arranged in order of decreasing production. Maoridiamesa (D)* Maoridiamesa (D)? Deleatidium (E) Olinga (T) Austrosimulium (D)* Austrosimulium (D)Jf Zelandoperla (PL) Helicopsyche (T) Aoteapsyche (T)$ Orthocladiinae “a” (D)* Orthocladiinae “a” (D)“f Potamopyrgus (G) Aphrophila (D) Oligochaeta Tanytarsini (D)* Tanytarsini (D)t cf. Cricotopus (D)* cf. Cricotopus (D)t Coloburiscus (E) Eukiefiriella (D) Miscellaneous$ Chironomini (D) Hydora (C) Austroclima (E) Pycnocentria (T) Pycnocentrodes (T) N B P 440(169) 947(36 1) 1,197(310) 782(192) 187(153) 377(90) 343( 147) 658(132) 198(89) 1,242(329) 1,095(214) 1,528(38 1) 422(90) 2,950( 1,320) 141(39) 88(33) 117(45) 259( 100) 364( 142) 236(60) 78 1(396) 11l(66) 38(18) 39(24) 50(36) 81(24) 180(67) 25(16) 7(4) 6(5) 3(3) 6(4) 15,199(1,770) 85(32) 197(68) 109(27) 3 18(63) 12(10) 55(19) 105(46) 135(27) 106(56) W6) 1w 182(43) 77(16) W8) 5(2) w 4(2) 8(3) 54(24) W) 22( 11) 14(7) 14(7) 7(3) 14(8) 5(2) 4(2) 5(4) 3(2) l(1) l(l) O(1) 1,629(146) 1,035(770) 1,776(845) 1,855(1,514) 1,002(2 15) 504(42 1) 578(1,145) 943(88 1) 833(378) 742(490) 342(207) 240(45 1) 537(250) 418(171) 316(175) 141(68) 23(19) 67(44) 79(30) 134(59) 131(39) 1lO(-) 69(48) 45(28) 43(25) 39(37) 28(19) 23(12) 23(23) 1W) 1O(8) 2(l) l(l) 11,209(2,294) Orthocladiinae (D) Zeolessica (T) Nesamaletus (E) Hydrobiosella (T) Austroperla (PL) Ptilodactylidae (C) Total * Summer/fall cohort. t Fall/summer cohort. $ Suspected omnivore, N, B, P weighted by 40% (see text). 0 Primarily meiofauna, P estimated as B x 5. Secondary consumers - Total production by surficial secondary consumers was 2,144 + 774 mg AFDM mm2yr- 1 (xfC.I+), and P: B was 4.1 kO.9 (Table 5). Major contributors were Aoteapsyche (5 2%) and Archechauliodes (33%). Recall that production by Aoteapsyche was divided between primary consumers (40%) and secondary consumers (60%). The relatively high P : B of Aoteapsyche (7) had a substantial effect on overall P: B, which is reduced to 2.8 when Aoteapsyche is excluded. This relatively low P : B is due to long CPIs. Total production by hyporheic secondary consumers was 392+274 mg AFDM m-2 yr-l (xkC.I.J, and P:B was 3.1 (Table 6). Major contributors were Archechauliodes (49%), Aoteapsyche (24%), and the Tanypodinae (16%). CPI,, 74 113 107 ‘538 51 61 90 214 ,214 66 66 365 166 365 32 66 66 182 579 76 182 365 1!75 243 :!43 :.82 I!43 Z!59 76 :‘32 300 CPI,,, 0+ yr prey 2+ yr prey 174 0.48(0.19) 214 273 1.47(0.57) 758 0.24(0.24) 71 0.02(0.02) 273 1.21(0.73) 289 424 0.01(0.01) 427 1.02(0.65) -154 182 730 334 O.&l 2) -730 -66 182 154 0.01(0.01) 211 730 0.28(0.28) -182 --365 -730 -441 609 609 o.o7(;05) -365 -609 -471 -151 -822 -400 P:B = 6.88 (1.27) 0.35(0.19) 0.48(0.19) 3.21(1.07) 0.0 l(O.00) 0.45(0.19) 0.57(0.10) 0.85(0.23) ~0.01(<0.01) 0.23(0.08) 0.13(0.07) -~0.01(<0.01) 0.98(0.3 1) ~0.01(<0.01) ---0.1;(0;7) 0.30(0.08) ------- Only the Tanypodinae and Amelotopsis showed higher hyporheic than surficial production, although the difference is not significant (cf. C.I+, Tables 5 and 6). Terrestrial macroinvertebrates - The predictive relationships derived for Sutton Stream by Edwards and Huryn (1995) indicated that inputs of wingless and winged terrestrial invertebrates in December 199 l-December 1992 were208f203and423k108mgAFDMm-2yr-1(x495% C.I.& Total annual input was estimated to be 63 1k 230 mg AFDM m-2 yr-l. Trout -The population of brown trout in the study reach is stunted (e.g. Hall 1991) and nonmigratory. Individuals 249 The Allen paradox Table 6. Summary of production data for secondary consumers from substrata > 1O-40 cm below bed of Sutton Stream. Abbreviations and units as in Table 3. Taxa arranged as in Table 5 to aid in comparison with surficial production. Table 4. Summary of production data for secondary consumers from substrata > 1O-40 cm below bed of Sutton Stream. Abbreviations and units as in Table 3. Taxa arranged as in Table 3 to aid in comparison with surficial production. Maoridiamesa (D) Deleatidium (E) Olinga (T) Austrosimulium (D) Zelandoperla (PL) Helicopsyche (T) Aoteapsyche (T)* Orthocladiinae “a” 0 N B 177(522) 143(72) 284( 142) 28(33) - 13(109) 7(2) 269( 122) 400) - 127(1,117) 64(54) 846(393) 60(2 15) - 1960) 9(15) 62(120) N P 191(128) 957(683) 65(230) 1,910(1,450) 64(108) 3 1(22) 41(91) 19(14) 31(31) 29(30) 21(12) Tanypodinae (D) 78;;) fm <I - 13(24) 78(74) l(7) 20(19) <W) - 93(180) 192(192) 4(18) 63(56) 4(6) - 2863) 977) Polyplectropus (T) < l(21) 3(15) <l(4) Total 176(109) 125(8 1) 392(274) * Suspected omnivore, N, B, P weighted by 60% (cf. Hopkins 1976; Benke and Wallace 1980). 67(80) 5(4) 109(78) 3 19(308) l(129) 5(700) Oligochaeta 402(507) 43(44) Tanytarsini (D) 106(129) 5(4) cf. Cricotopus (D) 17(17) 2(l) Coloburiscus (E) 24(28) lO(10) Eukiefiriella (D) < l(l) 1w3) Chironomini (D) 22(25) 4(5) Hydora (C) Austroclima (E) < l(l) 3;) 36) Pycnocentria (T) 2(4) l(l) l(6) Pycnocentrodes (T) Orthocladiinae (D) 15(11) 3G) <l(l) Zeolessica (T) Nesamaletus (E) Hydrobiosella (T) Austroperla (PL) Ptilodactylidae (C) Total 3,853(1,806) 483(222) 2,144(1,501) * Suspected omnivore, N, B, P weighted by 40% (cf. Hopkins 1976; Benke and Wallace 1980). Potamopyrgus (G) Aphrophila (D) Aoteapsyche (T)* Archechauliodes (M) Hydrobiosis (T) Psilochorema (T) Stenoperla (PL) Neurochorema (T) Tiphobiosis (T) Amelotopsis (E) P B 31(16) Empididae (D) have been encountered and no marked fish have been recovered from locations outside the 400-m study reach. From November 199 1 through November 1992, productionbytroutwas2,069+114mgAFDMm-2yr-1(x+SE) or 114 kg WM ha-l using the AFDM to wet mass (WM) conversion given by Waters (1988). The P : B was 1.O+ 0.1. Although the population is stunted, relatively high production was attained because of high abundances (0.7 &O. 1 trout m-2). Production by 0+ yr trout (i.e. spawned in autumn 199 1) was 542+32 mg AFDM m-2 yr-l (x&SE, 26% of total production) and P : B was 3.9. The difference between the November 1992 biomass (281+34 mg AFDM m-2) and the November 199 l-November 1992 production by 0+ yr trout provides a liberal estimate of trout available for cannibalism: 262 & 126 mg AFDM m-2 yr- l (x&95% C.I.,). The potential for cannibalism is trivial compared to other prey sources (Fig. 3). achieve lengths of only - 170 mm by the third year of growth. The oldest fish encountered during the study (- 56 yr) generally had lengths ~220 mm. During 3 yr of additional study (1992-1995, unpubl.) no fish >250 mm Table 5. Summary of production data for secondary consumers from substrata < 10 cm below bed of Sutton Stream. Abbreviations and units as in Table 3. Taxa arranged in order of decreasing production. Aoteapsyche (T)* Archechauliodes (M) Hydrobiosis (T) N B P 296(135) 86(2 1) 97(22) 99(46) 50(15) 5(2) 1w5) 24(14) 3(2) 22( 11) 5(3) 409(59) 158(87) 28 l(57) W7) 19(14) 7(2) 22(15) 12(5) w 4(3) W) l(l) 532( 105) 1,113(736) 698(204) 73(22) 60(38) 55(33) 54(3 1) 53(20) cplmin 214 668 608 244 138 641 306 214 365 181 244 cmlax 427 1,034 806 393 320 701 396 377 730 393 455 P : B = 4.12 (0.93) Tanypodinae (D) Psilochorema (T) Stenoperla (PL) Neurochorema (T) Tiphobiosis (T) 15(5) Amelotopsis (E) 12(9) Empididae (D) 9(7) Polyplectropus (T) 3(3) 2,144(774) Total * Suspected omnivore, N, B, P weighted by 60% (cf. Hopkins 1976; Benke and Wallace 1980). 0+ yr prey 1.02(0.65) 1.07(0.93) -- 2+ yr prey 0.1;(0;7) --- 0.02(0.0 1) 0.17(0.12) 0.03(0.02) 0.2<(0;5) O.Ol(O<l) - o.os(o;5, 0.85(0.23) 0.92(0.56) 0.26(0.11) I 1 250 Huryn 16000 12000 ‘; Cu% ‘E I 1 IT T 8000 : E 4000 Fig. 3. Comparison of total prey available for consumption by trout and breakdown of prey from different sources. Error bars = 95% bootstrap confidence intervals. Stomach contents were analyzed for 13 0+ and 33 2+ yr trout collected in November 199 1 and November 1992. Deleatidium (22%), Zelandoperla ( 18%), Archechauliodes (16%) and Aoteapsyche (15%) comprised most of the late spring diet of 0+ yr trout. Olinga (34%), Coloburiscus (lo%), Archechauliodes (lo%), and Aoteapsyche (9%) were major contributors to the late spring diet of 2+ yr trout. Relative amounts of the different prey taxa roughly reflected relative levels of production (Tables 3 and 5). Tcrrestrial invertebrates were important components of late spring diets, contributing 2.4 +_2.2 (20%) and 3.7 +,2.0 (28%) mg AFDM prey g AFDM trout- l (x+ SE) for 0 + and 2 + yr trout. Budget -Mean values of assimilation and net production efficiencies used to estimate food demand by primary consumers were 42 & 9 and 46 + 10% (x-+ 95% C.I+; Table 1). The estimates of food demand by primary consumers (surficial + hyporheic) based on these efficiencies was 66228 g AFDM mm2 yr- l (Fig. 2). Note that the bootstrapping procedure results in bias-corrected means that vary slightly from calculations based on absolute means. Surplus primary production was 244*79 g AFDM m-2 yr-’ (-79% of total). The 95% CT+ values do not overlap, showing that surplus primary production is significantly higher than consumer demands. Mean values of assimilation and net production efficiencies used to estimate food demand by secondary consumers were 85 + 3 and 52 + 9% (x*95% C.I+; Table 1). The estimates of food demand by secondary consumers (surficial + hyporheic) was 5,538+2,486 mg AFDM m-2 yr-l (Fig. 2). Surplus production by primary consumers was 7,8 16+ 3,484 mg AFDM rnM2yr-l. The mean value for the gross production efficiency used to estimate food demand by trout was 18f 4% (X f 95% CL,; Table 1). Because the population of trout is stunted, the true gross production efficiency might be lower than published values, which would result in higher actual food demands (Elliot 1994). Food demand by trout was 11,282+2,885 mg AFDM m-2 yr-l (x+95% C.I+,, Figs. 2, 3), assuming a gross production efficiency of 18%. If the trout population of Sutton Stream consumed only benthic macroinvertebrates (surplus primary consumer + secondary consumer production), an apparent deficit of benthic secondary production would occur (- 930&4,370 mg AFDM m-2 yr - l; Fig. 2). If the trout population consumed all available l;errestrial invertebrate biomass (63 1 mg AFDM m-2 yr-‘) and all 0+ fish available for cannibalism (262 mg AFDM m-2 yr- ‘) with benthic invertebrates composing the balance of their food demand, a slight deficit would still be apparent (-37f4,367 mg AFDM m-2 yr-l; Fig. 3). Note that for both estimates, 95% C.I+, values show that surplus benthic secondary production is not significantly differen from zero. Discussion Maximum d sily primary production measured in Sutton Stream is within the range expected for open streams with moderate levels of nutrients (e.g. <2 g C m-2 d-l; Allan 1995). Annual primary production was within the maximum range expected for freshwater systems worldwide (e.g. ~200 g C m-2 d-l; Bott 1983). Although primary production was measured in 1992 and consumer production was measured in 199 1, the relationship between trophic levels probably was consistent between years. Trout .production in 199 1 (2,069 mg AFDM m-2) was similar to production in 1992 (2,187 mg AFDM m-2, unpubl.) and, assuming that the ecotrophic coefficient was similar between years, primary consumer production and demand probably were illso similar. Therefore, if primary consumers feed only on autotrophs, a substantial and significant surplus of primary production (-79%) is predicted. Because a portion of primary consumer production is undoubtedly deri ved from autochthonous or allochthonous detritus (Strayer 1988), the surplus of primary production reported here :s conservative. Coarse allochthonous detritus, primarily tillers from tussock grass, is apparently not directly consumed by macroinvertebrates (Young et al. 1994); however, fine particulate or dissolved organic matter may comprise a significant allochthonous source of food for primary consumers. In a manner parallel to that observed for primary production and primary consumers, a substantial surplus of primary consumer production remains after the demands of the secondary consumers are accounted for. Much of the food demand by secondary consumers may consist of meiofaunal invertebrates that are systematically underestimated by traditional sampling methods (Waters 1993). Substantive USCof meiofauna by secondary consumers would tend to increase the amount of macroinvertebrate production available to trout (Waters 1993). Although the prey of secondary consumers in Sutton Stream was not studied, this factor has been studied in detail elsewhere in The Allen paradox New Zealand. The prey of Aoteapsyche, Archechauliodes, Hydrobiosis, Psilochorema, and Stenoperla is largely larval chironomids, simuliids, and Deleatidium (Crosby 1975; Devonport and Winterbourn 1976; Winterbourn 1978). Although more research is needed in this area, most of the food supporting secondary consumers is assumed to be in the form of macroinvertebrates rather than meiofauna. The annual production of trout in Sutton Stream (- 110 kg WM ha-l) is comparable to levels of production used to define highly productive trout streams elsewhere (- 1OO300 kg WM ha-l; Waters 1988, 1992). The P: Bratio (1.0) is also comparable to other trout populations with similar age structure (Waters 1992). Current knowledge indicates that Sutton Stream should show a deficit or a near-deficit of benthic prey production relative to demands by trout (the Allen paradox) (Waters 1988, 1993). In the past, production budgets for trout streams have been constructed on the premise that prey production is largely equivalent to production by surficial macroinvertebrates (Waters 1.988). Following this tradition, one can clearly see the spectre of the Allen paradox in the budget constructed for Sutton Stream (Fig. 3). This deficit of surficial macroinvertebrate production relative to trout demands often has been attributed to sampling inefficiency (Allen 195 1; Waters 1988); however, a test of the efficiency of the sampling of surficial substrata in Sutton Stream showed little significant bias (Table 2). After one considers the relative importance of each component of the budget, it is apparent that a balanced budget is observed only when sources of trout prey in addition to surficial benthos are included (Fig. 3). Terrestrial invertebrates are an important food resource for trout (e.g. Hunt 1975); however, the role of hyporheic fauna as prey is not well understood. Behavioral observations (A. R. McIntosh pers. comm.) and case characteristics of Olinga indicate diel burrowing behavior, as was shown for the sericostomatid caddisfly Gumaga in California streams (Bergey and Resh 1994). Because Olinga is a major component of the hyporheos and an important prey species for trout in Sutton Stream (Tables 3, 4), burrowing behavior may form a link between trout production and the hyporheos. Nevertheless, prior to emergence, hyporheic insects must enter the surficial sediments and the water column where they are subject to trout predation. Ecotrophic coefficients traditionally expected for trout streams are generally in the range of 30-50% (Waters 1988). However, published estimates of the proportion of lotic insect production emerging as adult biomass indicate that ecotrophic coefficients often may be considerably > 50%. Jackson and Fisher ( 1986) reported that only 19% of the benthic insect production of Sycamore Creek (Arizona) emerged as adult biomass. Jackson and Fisher reviewed similar studies of stream insect communities to show that the proportion of annual production that emerges as adult biomass is generally <20% (range, 4-23%). Although far from exhaustive, these studies indicate that -80% of the annual production of lotic insect populations commonly may be lost to other pathways, and estimates of ecotrophic coefficients > 80% for stream invertebrate communities seemreasonable. Surplus benthic production expected from 251 Sutton Stream would be 5 3,000 mg AFDM m-2 following this rationale and probably would not be detectable given the uncertainty estimated for the budget compartments (cf. 95% C.I+,, Figs. 2, 3). Within the constraints of the estimated uncertainty, surplus production by primary consumers in Sutton Stream clearly is extremely low. Consequently, it seems logical to suspect that the expected surplus of primary production (-79%; Fig. 2) is the result of top-down control of herbivory by trout as was shown in the nearby Shag River by Flecker and Townsend (1994). They used abundances of trout that were based on the Sutton Stream population and replicated enclosures (A. S. Flecker pers. comm.), and showed that over a period of 10 d, trout were associated with a -2-fold reduction in macroinvertebrate biomass and a -4-fold increase in periphyton biomass compared with fishless treatments. The results of the production budget presented here, and perhaps the results of other budgets that show the Allen paradox (Waters 1988), are supported by recent experimental studies that show dramatic effects of salmonids on prey populations in moderately to highly productive trout streams (Bechara et al. 1992; Flecker and Townsend 1994). It may be time to adopt a new perspective about trout streams and the Allen paradox. Rather than viewing the Allen paradox as a paradox per se or as a simple methodological nightmare, it may be more constructive to accept the challenge of a messagethat has been conveyed for decades: in productive streams (i.e. lOO+ kg WM trout ha- l yr- l), trout can be expected to consume an extremely large proportion of benthic prey production, perhaps > 80%. 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