Estimation of o glob bal rec covery y poten ntial off de egrade ed fore est are eas Hatttem, Marc ch, 2013 Planbureau voor de Leefomgeving Global recovery potential of forest areas -2- Planbureau voor de Leefomgeving Client Planbureau voor de Leefomgeving (PBL) www.pbl.nl Consultant Form international www.forminternational.nl -3- Global recovery potential of forest areas Planbureau voor de Leefomgeving Global recovery potential of forest areas SUMMARY The PBL-Netherlands Environmental Assessment Agency (Planbureau voor de Leefomgeving) asked Form international to research the potential stock of degraded areas in key biomes worldwide. This study is based on work done by the World Resource Institute on the degradation status and carbon content of these same biomes (Leastadius et al., 2012). From this study area information was used on the states of degradation. WRI identified Intact, fragmented, degraded and deforested areas and measured the areas covered by these categories. This information was combined with the total area per biome in each continent to get information on the diverse states of degradation for each biome per continent. The data were coupled to growth and yield information for the various forest types found in the continents. Calculations have been made on the current biomass, carbon, fiber and timber stock per biome as well as the expected theoretical biomass, carbon, fiber and timber stock after restoration to maximum biomass of : i) the entire degraded forest area ii) the entire degraded forest area minus the current agricultural area, and iii) the most promising area for forest restoration according to the WRI analysis. The time such natural regeneration will take was estimated based on information available from literature on forest types in the biomes. As an alternative to natural regeneration, the effects of plantation management for biomass restoration were estimated. The study shows that there are great differences in productivity and biomass stocking between the various biomes. The forests that achieve the highest stocking in terms of carbon, fiber or timber are the temperate coniferous forests followed by the tropical or subtropical moist forests. The least productive areas are the boreal forests and the Mediterranean forests. The forests that are largest in their potential surface area are boreal forests, tropical and subtropical moist forests and temperate broadleaf and mixed forests. Some vegetation types with high above ground biomass, such as the tropical rain forests in the tropical moist broadleaf forest biome, have a surprisingly low per annum productivity in their original state. Reason for this is intense competition between plants and the great diversity in tree species. Only few of the total amount of species are relevant commercially hence greatly reducing harvestable volumes. Simplified systems such as plantations are sometimes up to 10 times as productive. In some areas, natural vegetation is more comparable to plantation forests than in other areas, for instance the evergreen forests of the boreal biome closely resemble a pine forest plantation. In cases like this, differences are much less pronounced or even absent compared to areas where natural vegetation and forest plantation cover are very different. Tropical Pines, Eucalyptus and Paraserianthes can provide very productive plantations. When making a comparison between strategies for restoration of degraded lands, natural regeneration without human assistance is cheap but can also be extremely slow. Intensive plantation management is very quick, but also cost-intensive. A cost effective strategy could consist of a mix of planting and managed natural regeneration. Where a mosaic of plantations and deforested lands can create a favorable environment in which stock restoration takes place at low cost and limited effort. -4- Planbureau voor de Leefomgeving Global recovery potential of forest areas CONTENTS Summary ................................................................................................................................. 4 Contents .................................................................................................................................. 5 Definitions ............................................................................................................................... 6 1. Introduction ..................................................................................................................... 9 2. Study objectives............................................................................................................ 11 3. Methodology .................................................................................................................. 12 3.1 Overview .................................................................................................................. 12 3.2 Parameters .............................................................................................................. 16 3.3 Forest regeneration time .......................................................................................... 18 3.4 Annual potential harvest loss ................................................................................... 20 3.5 Forest degradation ................................................................................................... 21 4. Results ........................................................................................................................... 23 4.1 Description of biomes .............................................................................................. 23 4.1.1 Tropical and subtropical dry broadleaf forest ....................................................... 24 4.1.2 Tropical and subtropical moist broadleaf forest .................................................... 25 4.1.3 Temperate broadleaf and mixed forest ................................................................ 26 4.1.4 Temperate coniferous forest ................................................................................ 26 4.1.5 Boreal forest and taiga ......................................................................................... 28 4.1.6 Mediterranean forest, woodland and scrub .......................................................... 28 4.2 Calculations ............................................................................................................. 29 4.2.1 Natural vegetation ................................................................................................ 29 4.2.2 Harvest loss of natural forest................................................................................ 34 4.2.3 Replacing degraded vegetation with plantations .................................................. 36 4.2.4 Comparing regeneration scenarios ...................................................................... 40 5. Conclusions................................................................................................................... 44 6. References ..................................................................................................................... 46 Appendix A. Literature Sources of aboveground biomass for natural forest cover...... 51 Appendix B. Literature sources of root/shoot ratio and growth of natural forest ......... 53 Appendix C. Literature sources of Annual Allowable Cut in managed natural forest ... 54 -5- Planbureau voor de Leefomgeving Global recovery potential of forest areas DEFINITIONS Annual Allowable Cut (AAC): Maximum allowable commercial timber volume (m3/ha/y) that can be extracted from a forest sustainably. It can be considered as the Maximum Sustainable Yield per year (see also MSY) Biomass (tons dry weight/ha): the biological material from living, or recently living plants and trees, expressed as a weight per area. In this report the biomass is expressed as the dry weight of the plant material, because this is the most common notation and allows for relevant comparisons to other biomass calculations (see ‘Dry weight’ below). A distinction is made between aboveground biomass (stem, leaves, branches) and belowground biomass (roots). Cutting cycle, rotation, rotation cycle: Term that expresses the duration (yr) of a plantation from planting to final harvest. The cutting cycle depends on the plantation species, final product quality, and climatic conditions of a plantation. Dry weight (DW), or dry matter (DM): The dry matter of plant material is its solids, i.e. all its constituents excluding water. Fiber production (tons dry weight/ha) Fiber is calculated as the commercial timber volume plus 70% of the other above ground biomass (tree top, branches). This percentage is chosen based on the biomass harvesting guidelines, suggesting that 30% of residue should remain in the plantation (Evans et al. 2010). Fiber: Tree material appropriate for panel production. Whole trees can be converted to chips or ground to fiber for the production of Medium Density Fiberboard and chipboards or be used as fuel in a biomass electricity plant. Harvest: Logging of trees for commercial purposes • Total harvest: Total timber harvested throughout a rotation cycle, including thinnings • Final felling: Timber harvested at the end of a rotation cycle. Increment: Growth of the stem diameter. Managed (natural) forest: Forest growing in managed conditions. Maximum standing timber volume (m3/ha): Total round-wood volume available for harvest at end of rotation Maximum Sustainable Yield (m3/ha/rotation): The MSY is the maximum volume that can be extracted from a forest or forest plantation per ha, based on the rule that harvests are never larger than the forest’s increment over a cutting cycle. Increment and harvest levels are determined in different ways for different forest types and biomes (see also AAC). Natural forest: Forest naturally occurring in an area. -6- Planbureau voor de Leefomgeving Global recovery potential of forest areas Natural forest regeneration time (yr): time to reach recovery up to 100% of maximum biomass of intact forest. Growth is calculated with a growth rate derived from literature. Growth lasts until the first moment the maximum biomass for natural forest is reached for that specific biome. • Assisted forest regeneration: regeneration under optimal growth values, which can only be achieved with active forest management (soil preparation, weeding, climber cutting, fire prevention and protection from encroachment, grazing or browsing ) and under optimal ecological conditions. • Unassisted forest regeneration: regeneration without any intervention, simply allowing the forest to regrow. Productivity: the annual production capacity of a forest or forest plantation. Expressed in ton/ha/y or m3/ha/y. Applicable to biomass, timber, fiber and carbon. • GrowthV (m3/ha/yr): average annual volume increase, or mean annual increment (MAI) over a rotation cycle, used in this report to express growth of plantation forest. • GrowthW (tonDW/ha/yr): average annual weight increase of forest, used in this report to express growth of natural forest. Pulp: Pulp consists of the cellulose fibers from wood. Wood pulp is the most common raw material in papermaking. Regeneration time increase factor: Factor applied to correct for the difference in regeneration time between managed and unmanaged forest development in the different degradation states. Root-shoot ratio: estimated belowground biomass calculated as a fraction of total aboveground biomass. Round-wood: Wood in log form. For the purpose of this study round-wood are whole stems harvested in the forest (so in fact a gross stem volume). Branches and tip have been removed. Bark is left on the stem. The reason for this is that forest yield tables present volumes in this way. A translation from gross volume to commercial log volume is rarely made in available yield tables. From experience with teak however it is clear that, depending on the diameter, the difference between gross volume over bark and commercial volume under bark is about -30%. Stock: weight or volume of biomass, timber, fiber or carbon stored in a forest or forest plantation. Expressed in ton/ha or m3/ha. • Typical stock: stock of intact forest that serves as reference per biome • Current stock: stock of a forest in its current degradation state • Potentially additional stock: the production gap between current and typical stock • Potential stock: current stock + potentially additional stock Timber log (saw log): Log suitable for the conversion into timber. Generally this is the whole tree minus branches and minus at the tip where it becomes thinner than 10 cm diameter. The log is usually measured over bark (including bark). During the growth of a plantation two -7- Planbureau voor de Leefomgeving Global recovery potential of forest areas types of logs are produced: i) fiber or firewood logs and ii) saw logs. During the first years it is fiber or firewood material exclusively. As the girth and height of the trees increase saw logs start becoming important. At the final felling the firewood / fiber part can be as little as 10% of tree volume. Thinning: felling of trees during a cutting cycle to increase productive volume of standing trees by increasing light availability and decreasing competition. Total CO2 stock (tons CO2/ha): the amount of above- and belowground carbon stored in current or potential biomass, calculated by adding the total belowground biomass (total aboveground biomass multiplied with the root-shoot ratio) to the aboveground biomass, and multiplied with the carbon fraction. Total commercial timber volume (m3/ha): total cumulative round-wood produced during the rotation of the plantation, including thinnings. -8- Planbureau voor de Leefo omgeving Global recovery potenntial of forest arreas 1. IN NTRODU UCTION N Forests are produ uctive ecosy ystems tha at offer a variety v of products an d services;; timber, non-timber forest prod ducts, wate er purification and carbon sequeestration. In n recent fibers, n years, m many foressts have be een convert rted from productive ecosystems e s to areas with w low producttivity. PBL-Netherllands Env vironmentall Assessm ment Agen ncy (Plannbureau voor de The P Leefomgeving PBL L) recently commission c ned the World Resourc ces Institutee (WRI) to map m and orest degra adation and d the cons sequences of this pprocess for carbon quantifyy global fo sequesttration, carb bon stock and wood stock. The e total amount of landd (in ha) in several states o of degradattion was ca alculated pe er biome, or o ‘major ha abitat type’,, as defined d by the World W Wide Fund for Nature e (Olsen e et al., 2001)). This ec cological claassification system identifie es 14 terresstrial biomes s, further diivided in 86 67 ecoregions. This stuudy focuses s on 6 of the 14 b biomes, with h forest as their t major vegetation type. RI produced d a map tha at shows the e current sttatus of areas that are potentially suitable The WR for foresst vegetatio on (Laestadiius et al. 20 012) (Figure e 1). Figure 1 1. Current sttatus of area as potentiallyy suitable for forest vege etation. Darkk green: inta act forest; light green: fragmented forest; orange: o degra aded forest; yellow: defo orested. Sour urce: Laestad dius et al. 2012. One of the findingss of the WR RI study wa as that the vast v areas of o degradedd forest rep present a huge am mount of CO O2 emitted as a resultt of timber extraction e and a other foorms of hum man use. Restorin ng the degraded fores sts will pote entially ads sorb similarrly huge am mounts of CO C 2 and increase e the produ uction capacity of woo od for timbe er, pulp and firewood. In order to quantify this, PB BL has commissioned d Form intternational to calculatte the poteential stock k of the -9- Planbureau voor de Leefomgeving Global recovery potential of forest areas degraded forest ecosystems. This report presents an estimation of the current and potential carbon sequestration, carbon storage and fiber and timber production of forest ecosystems in different management scenarios; natural regeneration and forest plantation with a selection of common plantation species. Data on natural regrowth of forest systems in various ecosystems as well as the potential stock of forest plantations were linked to the numbers presented by WRI to calculate the global potential stock including the area of the different stages of degradation per biome. It is important to notice that this report only regards productivity and stock aspects of forest restoration. Important other forest values and ecosystem services such as biodiversity, soil conservation, water purification, scenic and cultural functions are outside the scope of this report, but do play an important role in the valuation and comparison of good alternatives for forest restoration. The report is set up as follows. After a presentation of the study objectives and methodology, the results are presented. The first results chapter is divided in sections per biome, presenting a climatic description and an outline of the different forest types that naturally occur and the most common forest plantation. Subsequently calculation results are presented for natural forests, plantations and further analyses are presented. Finally, conclusions and recommendations are made. - 10 - Planbureau voor de Leefomgeving Global recovery potential of forest areas 2. STUDY OBJECTIVES This study presents the current and potential productivity of forest ecosystems in terms of biomass, timber, fiber and carbon storage and sequestration, for different management scenarios. Calculations will be based on data from WRI about changes in wood and carbon stock at different levels of degradation. The results presented in the report will lead to a better understanding of the potential of degraded areas and can serve as a basis for policy-making on a global scale. In order to evaluate the potential for restoration, the following information will be presented in this report: - Productivity of the original (intact) vegetation for: o total area of forest biomes o total area of forest biomes without current agricultural area o the area which is most promising for restoration according to WRI analysis - Productivity of the current degraded vegetation (for different levels of degradation) - Time required for deforested, degraded and fragmented forest to recover to a productive forest ecosystem (for different levels of degradation) - Time required for a forest plantation to develop on deforested, degraded and fragmented land - Volumes of products (total timber and fiber production, carbon stock and carbon sequestration) that can be produced by the forest ecosystem or forest plantation. - 11 - Planbureau voor de Leefomgeving Global recovery potential of forest areas 3. METHODOLOGY 3.1 Overview In order to evaluate the potential for restoration, the following information will be presented in this report: - Productivity and stock of the original (intact) vegetation - Productivity and stock of the current degraded vegetation (for different levels of degradation) - Time required for deforested, degraded and fragmented forest to recover to a productive forest ecosystem with stock and productivity typical for its respective biome (for different levels of degradation) - Time required for a forest plantation to develop on deforested, degraded and fragmented land. - Volumes of products (total timber and fiber production, carbon stock and carbon sequestration) that can be produced by the forest ecosystem or forest plantation. Calculations of the restoration potential are performed per selected biome. We derived the total area of each of the 6 selected biomes from the biome dataset created by the WRI (table 1). Table 1. Areas of forest ecosystems in 6 selected biomes, per level of degradation. Total area is calculated without agricultural land. Biome Total area (Mha) Area intact (Mha) Area fragmented (Mha) Area degraded (Mha) Area deforested (Mha) Agricultural land (Mha) Boreal 1247 380 663 178 26 5 Mediterranean 152 4 49 25 75 78 Temperate broadleaf 817 20 438 198 161 334 Temperate coniferous 298 42 193 45 18 16 Tropical dry broadleaf 186 7 53 62 64 99 Tropical moist broadleaf 1726 582 592 396 155 216 Global 4426 1035 1988 903 499 748 Source: WRI report, Laestadius et al. 2012 The areas have further been divided into different forest classes based on two parameters: forest structure and level of degradation. Forests have different structures, with different percentages canopy cover. In this study they have been reduced to three categorie: closed forest, open forest and woodland, see table 2 below. In order to use these percentages for calculations, Form international used the average of the range presented by the WRI. Table 2. Canopy cover percentage for different forest structures. Forest structure Canopy cover according to WRI Canopy cover assumed in this study Closed forest > 45% 70% Open forest 25% - 45% 35% Woodland 10% - 25% 17.5% - 12 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Four different levels of degradation were considered in this study: intact forest, fragmented forest, degraded forest and deforested land, with different percentages of current and potential biomass cover (table 3 and 4). Intact forest areas are covered with natural forest that has not or hardly been degraded. Potential biomass cover percentage and current biomass cover are therefore the same. Fragmented forest has been degraded in such a way that approximately 30% of the standing biomass has been removed, but the remaining 70% is still covered with intact forest. Forest structure therefore remains unchanged but the current biomass cover is 70% of the potential biomass cover. Degraded land is land where the structure of the forest has been altered, i.e. closed forest has been converted to open forest or woodland, or open forest was converted to woodland. Potential forest cover and current forest cover are therefore different, depending on the percentage of degraded land per biome and the severity of the degradation. Deforested land is land where all of the original forest cover has been removed. Current biomass cover is therefore always 0%, and potential cover varies per biome. Table 3. Forest class distribution according to the WRI. Forest class Potential Current 1 2 3 4 5 6 7 8 9 10 11 12 Woodlands Open forests Closed forests Woodlands Open forests Closed forests Open forests Closed forests Closed forests Woodlands Open forests Closed forests Status Woodlands Open forests Closed forests Nonforest Nonforest Nonforest Woodlands Woodlands Open forests Woodlands Open forests Closed forests Intact Intact Intact Deforested Deforested Deforested Degraded Degraded Degraded Fragmented Fragmented Fragmented Table 4. Biomass cover percentage for different levels of degradation. Variable Deforested Degraded Fragmented Intact Canopy cover according to WRI <10% 25-45% No value No value Biomass cover assumed in this study* 0% Calculated per biome 70% 100% no cover randomly spread on 100% of area 70% intact forest, 30% deforested complete cover Area covered** * as percentage of total intact forest biomass ** as percentage of area covered with forest biomass - 13 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Part of the land classified as deforested or degraded is used for agricultural purposes. This land is not considered part of the area available for regeneration. The agricultural areas were calculated based on the WRI data on global land use. For each of the 6 selected, forested biomes, data were collected per continent concerning the biomass stocks, growth rates and regeneration of natural forest vegetation in the deforested, degraded and fragmented areas, and the growth and stock production of common plantation types. For natural forest vegetation, representative values for total biomass (typical stock) were searched per continent. The typical biomass values (ton DW per hectare) are considered to be the values of closed forest, i.e. 70% canopy cover. So 100% typical biomass corresponds to 70% canopy cover. Biomass values for other forest structures (open forest and woodlands) are derived from this typical biomass value, according to the percentage canopy cover in table 2. This means that biomass values for open forest are 50% of closed forest biomass values and woodlands 25% of closed forest biomass values. In each biome, land cover of closed forest, open forest and woodland is known. Also, the typical biomass values of each forest structure have been applied to the area per structure by using a weighing factor (table 5). These calculations resulted in one weighted average biomass value (combining closed forest, open forest and woodland) per biome. The relative occurrence of each forest structure (closed forest, open forest, woodland) is different per degradation level (intact, fragmented, degraded, deforested). Therefore, for each degradation level the weighted average biomass value is determined separately. This resulted in weighted average biomass values per biome and per degradation level. This value shows the potential biomass that these particular areas can reach. The table below presents an example matrix of the calculations performed to derive the average biomass values for natural forest in each biome. For each level of degradation, such a matrix was produced (see table 5 for the matrix of intact forest). - 14 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Table 5. Example matrix for average typical biomass calculation in natural forest, for different degradation levels (this is the matrix for intact forest). CC = canopy cover. Biome Closed Open Woodlands Typical Weighi Average forests area forests area area (ha): biomass ng typical (ha): 70% (ha): 35%CC 17.5% CC closed factor biomass CC forest (tDW/ha) (tDW/ha) 127,125,600 88,168,600 164,865,700 60.1 0.56 33.6 Boreal forest Mediterranean 12,500 2,424,800 1,469,500 35.5 0.41 14.5 Temperate broadleaf Temperate Coniferous Tropical Dry Broadleaf Tropical Moist Broadleaf 13,649,400 1,780,800 4,390,200 145.9 0.79 115.1 20,028,900 11,626,600 10,563,800 363.6 0.67 245.3 6,417,300 322,600 86,600 154.9 0.97 149.7 573,853,900 4,278,500 4,046,200 246.8 0.99 244.6 In degraded areas a shift has occurred in forest structure due to degradation (e.g. closed to open forest). Therefore, for degraded areas, two matrices were produced: one for the current average biomass and one for the potential average biomass. Potential biomass corresponds to the biomass cover before degradation (table 6). The difference between potential and current biomass is potential additional biomass that can be gained through natural forest restoration. For intact and fragmented forest a single matrix was produced, because the forest structures have not changed due to degradation. For fragmented forest it was assumed that 30% of the land is deforested while 70% remains intact. For deforested areas 0% forest is left. Thus, the matrix for deforested areas represents the potential biomass that can be attained in these areas. Table 6. Calculation of potential additional biomass in degraded forest per biome. Biome Potential average Current Potential biomass (tDW/ha) average additional biomass biomass (tDW/ha) (tDW/ha) 52.9 37.2 15.6 Boreal forest Potential growth (%) 30% Mediterranean 32.4 22.0 10.4 32% Temperate broadleaf 141.4 99.8 41.7 29% Temperate Coniferous 355.2 281.6 73.6 21% Tropical Dry Broadleaf 135.7 112.8 22.9 17% Tropical Moist Broadleaf 245.5 196.4 49.1 20% For forest plantations, three common plantation tree sprecies were selected per biome for each continent. This selection was further narrowed down to a selection of three representative plantation types per biome. This selection was based on plantation characteristics and suitability for the biome, using the following criteria: - Availability of information - Variation in products and product quality - Suitability for the major habitat types within the biome - 15 - Planbureau voor de Leefomgeving - Global recovery potential of forest areas Frequency of occurrence within the biome High potential productivity within the biome Typical biomass per plantation type was derived from literature, as well as other parameters, described in the following section (Paragraph 3.2: Parameters). 3.2 Parameters The following parameters and assumptions were used to calculate the desired output, as described above: - Total aboveground biomass at adult (climax) stage - Growth rates of natural forest ecosystems and forest plantations - Biomass Conversion Expansion Factor (BCEF) - Root/shoot ratio - Carbon fraction (0.47) - Thinning factor - Regeneration time increase factor A detailed description of these parameters is presented below. Total aboveground biomass of intact closed forest per biome per continent was derived from various sources in literature, but a major part originates from Roy et al. (2001). In case multiple data points were found for a biome on a single continent, an aggregate variable was calculated. For plantations, total aboveground biomass at the end of the rotation cycle was calculated as a derivative from the total harvest, using a Biomass Conversion Expansion Factor (as explained below) and a factor for the amount of timber generated by thinnings (thinning factor). The total harvest was found in several sources of literature, e.g. Cubbage et al. (2010) and FAO (2001). GrowthW (tonDW/ha/year) of natural forest were derived from the IPCC values on aboveground biomass and biomass growth per ecological zone (IPCC 2006) and from data presented in Roy et al (2001). GrowthV (m3/ha/yr) of different plantation types was derived from various literature sources. Both for natural forests and plantations growth rates are expressed as a mean annual increment over a specific time frame. This provides a linear figure for calculation purposes, but the underlying growth curve is a logistic curve, as this is the natural forest growth pattern. In Figure 2 this pattern is illustrated for the boreal biome, but the pattern is applicable to each of the biomes. The presented values for natural forests are valid for the regeneration period, plantation values are valid for their respective rotation periods. - 16 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Example growth curve of boreal forest Above‐ground biomass (tonDW/ha) 60 y = 2,3064x ‐ 0,1532 50 40 30 Boreal forest 20 10 0 0 5 10 15 20 25 30 Regeneration time (years) Figure 2. Example growth curve of boreal forest demonstrating linear and logistic forest growth curves. The Biomass Conversion and Expansion Factor (BCEF) for expansion of merchantable stock volume (in m3/ha) to above-ground biomass (in ton/ha) was derived from the IPPC guidelines (2006). This BCEF was applied to convert plantation volumes for stock and productivity to biomass. It is important to note that this conversion has two components: conversion of volume to weight and expansion from commercial stem part to the total above ground biomass. The conversion from volume to weight is made through a species specific wood density, which can range from 80-1100 kg/m3. Also the ratio between commercial stem volume and total above-ground biomass is species specific. Therefore species specific BCEF values are applied. The ratio of below-ground biomass to above-ground biomass, or root-shoot ratio (R), was determined based on the values in the IPCC guidelines (2006). These are values adopted from Mokany et al. (2006). The carbon fraction of aboveground forest biomass was standardized at 0.47 ton C per ton DW as recommended by the IPCC guidelines, McGroddy et al. (2004) (see IPCC 2006) (2006). For forest plantations, a thinning factor was developed to determine the fraction of wood extracted from thinnings compared to the final felling at the end of the rotation cycle. This factor was based on a comparison of yields of final felling volumes and thinning volumes in several yield tables for different rotation cycles (table 7). This factor is necessary to apply, since in most cases literature cites the total timber production per rotation cycle, pooling thinning and total harvest volumes together. - 17 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Table 7. Biomass from final felling expressed as a percentage of the total harvest after a full rotation (including thinnings). Rotation cycle (yr) Percentage final felling of total harvest 0-20 80% 20-30 60% 30+ 45% Regeneration time increase factor: see next section. 3.3 Forest regeneration time For the degraded forest state, the time (in years) for recovery up to the full biomass stocks is calculated taking the biomass stock percentages given table 4 as starting point. It is assumed that full stock potential is reached when the biomass level reaches the level of intact forest (typical stock = 100% biomass). The equation used for regeneration time for natural forest is as follows: Natural forest regeneration time = (Biomasspotential – Biomasscurrent) / growth rate Based on the definitions given in table 4, it is assumed that forest develops from 0% biomass in the deforested situation, since no forest is left. In the degraded situation, the current and potential biomass cover differ per biome, so the potential additional biomass is calculated per biome based on the shift in forest structure (see table 6 for potential and current values). In fragmented areas it is assumed that 70% of the area is covered with intact forest and on 30% of the area no forest is left. Therefore, the forest development is calculated for 30% of the area, starting from 0% biomass. To further complete our model for estimating regeneration times for natural forests we will have a closer look at the dynamics of forest restoration. The development time of forest ecosystems starting from various initial situations typically depends on the initial land use situation, in which biotic (flora and fauna) and abiotic (soil, hydrology, climate) determine the speed and direction of spontaneous forest recovery. As an example of forest restoration dynamics we can regard an example of tropical forests. The general picture of tropical forest recovery through secondary succession after pasture or agricultural use (shifting cultivation) is that forest structural characteristics such as tree density, canopy height, basal area and biomass accumulation develop fast and can reach a situation similar to old growth forest in about 30 to 50 years (Finegan, 1996; Brearley et al., 2004; Chazdon, 2003; Van Gemerden et al, 2003). Species richness develops in a slower pace and floristic composition remains different for a long time, due to limited seed dispersal capacity of many primary forest species. The rate of forest structural and compositional recovery is accelerated when the extent and intensity of forest degradation prior to reforestation is limited, soils are fertile and if remnant forest is nearby (Chazdon, 2003, Guariguata and Ostertag, 2001). Forest recovery is much more difficult or slower when these factors are adverse. This will be of great influence on the biodiversity aspects as well. Estimates for unassisted natural regeneration have been made - 18 - Planbureau voor de Leefomgeving Global recovery potential of forest areas showing that it may take more than 150, 200 or even 500 years to arrive at primary forest composition (Finegan, 1996; Chazdon, 2003), but with low intensity, smaller-scale disturbances in a forested landscape with sufficient seed dispersal this may already be achieved in 50-60 years (Van Gemerden et al, 2003). Based on literature we determined forest development times for managed natural forests. These values were mainly based on IPCC and Roy et al. (2001). These values must be seen as optimal growth values, which can only be achieved with active forest management and under optimal ecological conditions. In the early growing stages of deforested and heavily degraded ecosystems this generally includes soil preparation, weeding, climber cutting, fire prevention and protection from encroachment, grazing or browsing. After canopy closure management must focus on regular thinning to keep optimal growth. Without thinning growth slows down due to competition and higher natural mortality rates. In cases where degradation negatively impacted biotic and abiotic success factors such as soil quality (e.g. fertility, physical properties, depth), seed dispersal (seed banks, distance to seed sources, species pool, seed dispersing animals) and microclimate, the optimal growth rate must be reduced to account for these regeneration barriers. Figure 3. Degraded vegetation on the site of former dry semi-deciduous forest in Ghana. In order to correct for the difference in regeneration time between managed and unmanaged forest development and the different degradation states, we developed a Regeneration time increase factor per degradation state and per biome that differentiates between optimal - 19 - Planbureau voor de Leefomgeving Global recovery potential of forest areas forest development times in managed regenerating forests and increased development times under unmanaged conditions (see table 8 below). It was assumed that the regeneration time, calculated with the growth rates for natural forest as found in IPCC (2006) and Roy et al. (2001), would apply to growth under managed conditions for all degradation levels. This assumes that management is more intensive in more degraded states in order to achieve optimal growth rates (Figure 3). For example in fragmented forest, conditions are still good and only exclusion of degradation factors (encroachment, fire, grazing etc.) is needed, whereas in degraded and deforested areas also, soil preparation, weeding and probably (enrichment) planting or seeding needs to be carried out. For unmanaged conditions, the increase factors below apply (table 8). The factors for tropical forests are based on the literature review described earlier in this section where in optimal conditions tropical forest can be restored in 30-50 years, whereas in adverse conditions this may take 3 times longer. Another assumption with these factors is that the causes of degradation are removed. If degradation continues, the regeneration time is negative or slowed down significantly. Table 8. Increase factors for regeneration time of managed forest compared to unmanaged forest, per degradation level, per biome, as applied for calculations in table 7. Biome Deforested Degraded Fragmented Boreal 1.5 1.25 1.12 Mediterranean 1.5 1.25 1.12 Temperate broadleaf 1.5 1.25 1.12 Temperate coniferous 1.5 1.25 1.12 Tropical dry broadleaf 3 2 1.5 Tropical moist broadleaf 3 2 1.5 Plantation development time: The time it takes for plantations to develop from a clearfelled area to maximum stock capacity is given as the rotation time, which is available in literature and presented in this study. 3.4 Annual potential harvest loss To provide an insight into the annual potential harvest loss from non-intact forests an overview is created of the lost annual harvest potential in deforested, degraded and fragmented forests compared to the situation in which they would all still be intact and fully productive as sustainably managed natural forests. Sustainable management of natural forests is based on the principles of harvesting according to maximum sustainable yields (MSY). The MSY is based on the rule that harvests are never larger than the forest’s increment over a cutting cycle. Increment and harvest levels are determined in different ways for different forest types and biomes. To make sense in a practical way they need to take into account the silvicultural system that is applied (e.g. selective, clear felling, monocyclic, polycyclic) and the harvesting objective (timber, fiber, fuel wood, non-timber products). In practice forests are managed with a variety of management objectives, targeted products and species. However, to make comparison between biomes and forests possible a scenario was chosen that all forests are managed to produce commercial timber. The annual allowable cut (AAC) is an accepted forestry measure to express the maximum sustainable harvest level and is therefore applied to make comparison between biomes possible. A - 20 - Planbureau voor de Leefomgeving Global recovery potential of forest areas representative figure was determined based on literature for the annual allowable cut (AAC) per biome for forests managed to produce commercial timber (roundwood). The AAC per biome is a weighted composite value based on representative values per continent. For the tropical moist forest biome a selective logging system was chosen, which is the most widely applied silvicultural system there. Also, for tropical dry forests a selective logging system was chosen, but we do need to remark that they are generally not managed for commercial timber production, but rather for livestock ranching and charcoal making. For all other biomes a system based on intermediate thinning and clear felling was chosen. In practice this system is widely applied in all biomes outside the tropics, and differences in scale and technical characteristics of silvicultural systems across these biomes are largely included in this basic management model. In the tropics only part of the available tree species is commercially used. This has to be accounted for in calculating the AAC. The AAC value is therefore much lower than the annual increment for the complete forest ecosystem. Outside the tropics the vast majority of available species have commercial value. However, in practice not the full annual increment is harvested due to practical, market and societal constraints to harvesting. In Europe, harvest rates are typically 65% of annual wood increment. This factor was taken into account to determine potential harvest loss. The potential harvest loss is 100% of the AAC in deforested and degraded areas, because the ecosystems are below their threshold level for sustainable harvesting. In fragmented forests potential harvest loss is 30% of AAC, because there is still 70% of well-functioning forest. 3.5 Forest degradation Forest degradation is frequently caused by overexploitation of natural forest. Large trees are removed at a faster rate than the time required for them to regenerate, changing forest composition and impoverishing the standing stock. This process commonly takes place unintentionally and is only noticed when degradation is in a stadium in which it is difficult and time-consuming to reverse. In order to keep up with the desired productivity, logging standards are dropped and the forest degrades even further. Over time the vegetation cover converts to fast growing species and grasses. This will lead to an increased fire hazard and provides opportunities for agricultural land use. Regular burning causes a decrease in soil quality: nitrogen mineralization increases temporarily, resulting in a short term increase in nutrient availabiliy. On the long term however, burning destroys living material in the soil, which leads to reduced moisture retention capacity and increased soil density. It removes the organic material that would add humus and nitrogen and causes increased soil erodibility. Organic matter content decreases, as well as total nitrogen, total sulfur, carbon/nitrogen ratios, extractable carbon, polysaccharide, ammonium, and available phosphorus. Apart from the soil, burning also affects the microclimate. All of these factors make unassisted natural forest regeneration difficult. In reverse, tree/vegetation cover can improve impoverished soils in a number of ways: ‐ organic matter addition ‐ enhanced mineral weathering - 21 - Planbureau voor de Leefomgeving ‐ ‐ ‐ ‐ Global recovery potential of forest areas nutrient pumping and recycling symbiotic N-fixation interception of particles and dusts from the air improved soil structure through root action Addition of organic matter is the most important factor contributing to soil quality; this improves physical, chemical and biological soil properties. According to Bongers & Tennigkeit (2010), soil organic matter “improves soil structure, decreases soil bulk density, binds soil particles together to form stable aggregates that are resistant to erosion, allow water infiltration and thereby reduce runoff, improves water-holding capacity, prevents the effect of soil dispersion by raindrops and reduces surface crusting and hard setting”. Indirect effects that benefit the soil include changes in microclimatic conditions and decreasing soil erosion. Because of the capacity of trees to improve soil quality and build topsoil, assisted forest regeneration can take place even on very shallow soils (e.g. lithic leptosols, commonly less than 10cm deep), although trees will not reach their maximum capacity on these soils, at least during the first years/decades of plantation establishment. In this report we assume that the area where forest regeneration cannot take place due to insufficient soil thickness is negligible and therefore this factor is not taken into account. - 22 - Planbureau voor de Leefo omgeving Global recovery potenntial of forest arreas 4. R RESULTS S 4.1 D Descriptio on of biomes The WW WF divides the world’s terrestrial ssurface into o 8 terrestrial ecozoness, or realms s, based on the distribution nal pattern ns of terresstrial organ nisms; Afro otropic, N Neotropic, Nearctic, N Palearcctic, Antarcttic, Indoma alaya, Austtralasia and Oceania. In each ecozone, different regions can be reccognized ac ccording to o their clima atic and geo ological chaaracteristics s, taking sification into acccount the evolutionary history of tthe planet. The WWF has termeed this class ed as a "la ‘biomess’, or ‘major habitat ty ypes’, define arge units of land or water conttaining a geograp phically disstinct assem mblage of species, natural n com mmunities, and enviro onmental conditio ons". The global biome es are the re esults of regional analy yses of bioddiversity ac cross the continen nts and oceans of the e world, co ompleted in n collaboration with huundreds of regional experts worldwide and by co onducting exxtensive lite erature reviews. The 14 major te errestrial habitat types desscribe diffe erent areass of the world w that share sim milar enviro onmental ons, habitatt structure and a pattern ns of biolog gical comple exity, and tthat contain n similar conditio communities an nd specie es adapta ations (O Olson et al., 2 001, see e also orldwildlife.o org/biomes) (Figure 4) . www.wo Figure 4 4. “Terrestria al Biomes” ha ave been divvided in 14 biiomes and 8 bio-geograpphical areas (Olsen et al. 2001)). This stu udy deals with w 6 of the 14 terrestri al biomes, selected ba ased on theeir large fore est cover and pottential carbo on content: - 23 - Planbureau voor de Leefomgeving - Global recovery potential of forest areas Tropical and subtropical dry broadleaf forests Tropical and subtropical moist broadleaf forests Temperate broadleaf and mixed forests Temperate coniferous forests Boreal forests and taiga Mediterranean forests, woodlands, and scrub In the following paragraphs, each of the selected biomes is introduced, describing the range, climatic conditions and major forest types. The descriptions are largely based on the information presented on the website of the WWF (Source: www.worldwildlife.org/biomes). 4.1.1 Tropical and subtropical dry broadleaf forest Range: southern Mexico, southeastern Africa, the Lesser Sundas, central India, Indochina, Madagascar, New Caledonia, eastern Bolivia and central Brazil, the Caribbean, valleys of the northern Andes, and along the coasts of Ecuador and Peru. The most biologically diverse dry forests in the world occur in southern Mexico and in the Bolivian lowlands. Climate: warm year-round, up to several hundred centimeters or rain per year, with long dry seasons lasting several months. Dry season duration and time of occurrence vary with geographic location. The seasonal droughts have great impact on all forest life. Potential natural vegetation: deciduous trees predominate. In order to conserve water during the dry season, many tree species have a leafless period (e.g. Tectona grandis, Adansonia spp., Delonix regia). During the leafless period sunlight can penetrate the canopy and allows the growth of thick underbrush. Selected plantation types: • Eucalyptus camaldulensis (Red river gum) • Shorea robusta (Sal) • Tectona grandis (Teak) Fauna: a wide variety of wildlife including monkeys, large cats, parrots, various rodents, and ground dwelling birds. Degradation risks: highly sensitive to excessive burning and deforestation (Figure 5); overgrazing and exotic species can also quickly alter natural communities. Fauna are threatened by hunting, wildlife trade, and land conversion. Restoration is possible but challenging, particularly if degradation has been intense and persistent. - 24 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Figure 5. Fire is a serious risk to dry tropical forests. 4.1.2 Tropical and subtropical moist broadleaf forest Range: large, discontinuous patches centered on the equatorial belt, particularly in the IndoMalayan Archipelagos, the Amazon Basin, and the African Congo. Climate: low variability in annual temperature, high levels of rainfall (>200 centimeter annually). The warm, wet climate promotes explosive vegetation growth. Tropical and subtropical moist forests are dominated by semi-evergreen and evergreen deciduous tree species. Species diversity is higher than any other terrestrial biome. Half of the world's species can be found in these forests and a square kilometer can harbor over 1,000 tree species. In general, biodiversity is highest in the forest canopy which can be divided into five layers: overstory canopy with emergent crowns, a medium layer of canopy, lower canopy, shrub level, and finally understory. Selected plantation types: • Tectona grandis (Teak) • Paraserianthes falcataria • Eucalyptus grandis (Giant gum) Fauna: The canopy is home to apes and monkeys. Below the canopy, a lower understory hosts snakes and big cats. The forest floor, relatively clear of undergrowth due to the thick - 25 - Planbureau voor de Leefomgeving Global recovery potential of forest areas canopy above, is prowled by other animals such as gorillas, antelopes and deer. Emergent trees are the realm of hornbills, toucans, and the harpy eagle. High diversity of invertebrate species, including New Guinea’s unique stick insects and bird wing butterflies that can grow over one foot in length. Degradation risks: clearing for pasture and crops, large-scale commercial logging of tropical hardwoods as well as natural catastrophes (hurricanes) threatens some moist forests. Due to challenging climatic and soil conditions the forests are highly sensitive to disturbance like plowing, overgrazing and excessive burning. 4.1.3 Temperate broadleaf and mixed forest Range: central China and eastern North America, Caucasus, Himalayas, southern Europe, and the Russian Far East. Examples of forest regions are the Himalayan broadleaf forests, Appalachian-Blue Ridge forests, East Central Texas forests, Mississippi lowland forests. Climate: wide range of variability in temperature and precipitation, with on average 60-150 cm of rainfall per year. In regions where rainfall is evenly distributed throughout the year, deciduous trees mix with evergreen species. Potential natural vegetation: characteristic tree species are oak (Quercus spp.), beech (Fagus spp.), birch (Betupa spp.) and maple (Acer spp.). In contrast to tropical rain forests, most biodiversity is concentrated close to the forest floor. Selected plantation types: • Cryptomeria japonica (Japanese cedar) • Quercus robur (Pedunculate oak) • Populus deltoides (Poplar) Fauna: bobcats, bears, cougars and wolves are examples of species occurring in temperate forests of North and South America. Australian forests house endemics like koalas, possums and wallabies. Animals like the Giant panda and red panda are found in temperate rainforests of Asia. Other than the animals mentioned above, the list of forest animals found in this region also includes several species of reptiles, birds, insects, microorganisms and primates. Degradation risks: many forests are impacted by fire, and few old-growth forest groves remain because of human use. Exotic species can have extensive and significant impacts on native communities; the loss of large native predators has many cascading impacts on forest structure and ecology. However, restoration potential for these forests is relatively high. 4.1.4 Temperate coniferous forest Range: Forest communities dominated by huge trees (e.g., giant sequoia, Sequoiadendron gigantea; redwood, Sequoia sempervirens; mountain ash, Eucalyptus regnans, occur in - 26 - Planbureau voor de Leefomgeving Global recovery potential of forest areas western North America, southwestern South America, as well as in the Australasian region in such areas as southeastern Australia and northern New Zealand. Temperate rain forests only occur in 7 regions around the world - the Pacific Northwest, the Validivian forests of southwestern South America, the rain forests of New Zealand and Tasmania, the Northeastern Atlantic (small, isolated pockets in Ireland, Scotland, and Iceland), southwestern Japan, and those of the eastern Black Sea and in the coastal areas of Washington state, USA. Climate: warm summers and cool winters. Mainly coastal areas of regions that have mild winters and heavy rainfall, or inland in drier climates or montane areas. Potential natural vegetation: great variety in plant life. Either dominated by needle leaf trees or home primarily to broadleaf evergreen trees or a mix of both tree types. Tree species include pine, cedar, fir and redwood. The understory commonly contains a wide variety of herbaceous and shrub species. Temperate conifer forests sustain the highest levels of biomass in any terrestrial ecosystem and are notable for trees of massive proportions in temperate rainforest regions. Selected vegetation types: • Cryptomeria japonica (Japanese cedar) • Abies grandis (Grand fir) • Thuja plicata (Western red cedar) Fauna: badgers, boars and wolves inhabit the temperate coniferous forests of Europe. Owls, stoats and birds of prey are commonly found throughout this biome. Figure 6. Larch forest in temperate coniferous biome. - 27 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Degradation risks: logging and fragmentation of natural forests. Late-successional species typically regenerate slowly. Exotic species can have extensive and significant impacts on natural forest communities. 4.1.5 Boreal forest and taiga Range: extensive tracts of boreal forest and taiga still exist in the northern Nearctic and Palearctic, the largest expanses being in central and eastern Russia. Climate: low annual temperatures, precipitation ranges from 40-100 cm/yr, mainly snow. Nutrient poor soils as a result of permafrost and the resultant poor drainage. Potential natural vegetation: low levels and variation of species richness and endemism. Dominated by conifer species (Abies, Picea, Larix, and Pinus) and species of deciduous trees (Betula spp., Populus spp.). Ground cover is dominated by mosses and lichens. Selected plantation types: • Larix gmelinii (Eastern larch) • Picea abies (Norway spruce) • Pinus banksiana (Jack pine) Fauna: large-scale migrations of caribou, reindeer (Rangifer tarandus) and intact predator assemblages can still be found in some regions, as well as relatively unaltered natural disturbance regimes. Degradation risks: acid rain and other forms of pollutants. Regeneration of mature forests takes a long time due to the challenging climate and soil conditions. 4.1.6 Mediterranean forest, woodland and scrub Range: the Mediterranean, south-central and southwestern Australia, the fynbos of southern Africa, the Chilean matorral, and the Mediterranean biomes of California. Climate: hot and dry summers, cool and moist winters in which most of the precipitation occurs. Potential natural vegetation: broadleaf trees, e.g. oak and mixed sclerophyll forests (California and the Mediterranean), Eucalyptus (Southwest Australia), Nothofagus (central Chile), pine and oak (California) and coniferous forests (Mediterranean). Forests are often found in riparian areas because of the (summer) water supply. Most plants are fire adapted and dependent on this disturbance for their persistence. Selected plantation types: • Eucalyptus grandis (Giant gum) - 28 - Planbureau voor de Leefomgeving • • Global recovery potential of forest areas Pinus halepensis (Aleppo pine) Pinus radiata pulpwood (Radiata pine) Fauna: characteristic species for the European and African Mediterranean forests are the Iberian lynx, Barbary macaque and the Barbary stag. Many of the fauna species in the Mediterranean woodlands and forests have disappeared as a result of human disturbance, which has affected especially the large predators like the Egyptian wolf, Atlas bear, Barbary lion and the Barbary leopard. In the Chilean matorral, several species of lizards, including various South American swifts of the genus Liolaemus can be found. Other animals include five endemic rodents, a species of mouse opossum, and 15 endemic birds, including three species of tapaculo birds, the Chilean mockingbird, the Chilean Tinamou, and the Giant hummingbird. Degradation risks: habitat fragmentation, grazing, and alteration of fire regimes (over burning or fire suppression), native species are particularly at risk from exotic plants and animals that establish and spread with ease in these communities. Restoration of communities is feasible but fire regimes must be restored and exotics controlled effectively. 4.2 Calculations 4.2.1 Natural vegetation To provide insight in the potential productivity of degraded vegetation, information was collected concerning the productivity of natural vegetation in the biomes, as well as information on the potential for natural regeneration. The information was collected per biome per continent and then summarized so as to present information per biome. In table 1 the area per biome is presented. These areas have been obtained from the Ecoregion dataset elaborated by WRI and provided by PBL. Each biome has a specific species composition and therefore its own productivity. Between the continents, the biomes differ in productivity as well. In the table below key productivity parameters for intact vegetation are presented per biome (see appendix A for numbers per continent and sources). The numbers are composed of averages for each continent, weighted by area (table 9). These numbers represent the biomass values for closed forest, hence at 70% canopy cover, and were used as a basis for calculating the typical productivity values per biome, based on the fraction of closed forest in each biome. For each level of degradation a matrix was produced to calculate these values per biome. - 29 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Table 9. Typical stock per hectare of intact natural forest ecosystems (70% canopy cover) per biome Biome Typical aboveTypical total Typical Typical Typical total ground biomass standing fiber carbon 3 (tC/ha) biomass (tDW/ha) timber (m /ha) (tDW/ha) (tDW/ha) 60 82 38 53 38 Boreal 36 53 22 31 25 Mediterranean 146 181 81 126 85 Temperate broadleaf 364 436 214 319 205 Temperate coniferous 155 198 96 137 93 Tropical dry broadleaf 247 338 127 211 159 Tropical moist broadleaf Figure 7. Potential biomass of intact closedl forest in selected biomes in tonDW/ha. The growth information can be converted to present the current values for the biomes in above ground biomass, standing timber, total carbon and fiber (Figure 7) (see appendix B for the used root/shoot ratio and annual growth, and sources). The rules for calculating these values are as follows: - intact forest area is included completely, - fragmented forest area is included for 70% - degraded forest area is included completely, using the current biomass cover percentage - 30 - Planbureau voor de Leefomgeving - Global recovery potential of forest areas deforested area is not included at all since biomass stocks are 0%. In table 10, the total stock of each biome was calculated, taking into account the various levels of degradation in each biome. Table 10. Current stock of forest ecosystems per biome Biome Current above ground biomass (MtDW/biome) Current total biomass (MtDW/biome) Current standing timber (Mm3/biome) Current fiber (MtDW/bio me) Current Carbon (MtC/ biome) Boreal 37,541 51,055 23,648 33,373 23,996 Mediterran ean 1,178 1,766 734 1,044 830 Temperate broadleaf 60,777 75,363 33,765 52,673 35,421 Temperate coniferous 61,193 73,432 35,996 53,634 34,513 Tropical dry broadleaf 12,025 15,391 7,492 10,665 7,234 Tropical moist broadleaf 317,384 434,816 162,761 270,997 204,363 Global 490,096 651,824 264,395 422,386 306,357 The degraded vegetation presents a potential to regenerate and provide commodities again during its restoration. For each biome, information has been collected on the recovery time from a given state of degradation to fully productive vegetation (in terms of total biomass). Total biomass was used as a criterion because through forest management activities the composition of products may change over time, but the biomass will stay more or less constant from a certain moment onwards. Over time, biomass becomes distributed over fewer, but bigger and more valuable trees. In this way, the forest starts to produce fiber and is gradually able to produce more quality timber. Carbon stocks evolve as a more or less constant fraction of forest biomass. The time it takes for forest vegetation to recover depends greatly on whether or not the area is managed. This is presented in the table below (table 11). Please note that it is assumed that forest develops from 0% biomass in the deforested situation. In degraded areas, the current and potential biomass cover differ per biome, so the potential additional biomass is calculated per biome. In fragmented areas it is assumed that 70% of the area is covered with intact forest and on 30% of the area no forest is left. Therefore, the forest development is calculated for 30% of the area, starting from 0% biomass (see also table 4). - 31 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Table 11. Productivity (typical growth), and regeneration time (in years) of natural forest for different levels of degradation in managed and unmanaged conditions, per biome. Fragmented forest Degraded forest Deforested reg. time managed (yr) reg. time unmanag ed (yr) reg. time managed (yr) reg. time unmanag ed (yr) reg. time managed (yr) Biome Typical GrowthW (tDW/ha/ yr) reg. time unmanag ed (yr) Boreal 2.3 19 17 9 7 33 22 Mediterra nean 1.5 13 11 9 7 18 12 Temperat e broadleaf 4.0 36 32 13 11 50 33 Temperat e coniferou s 10.2 31 28 9 7 48 32 Tropical dry broadleaf 4.4 36 24 10 5 68 23 Tropical moist broadleaf 7.9 44 29 12 6 84 28 In the figure below, the typical GrowthW of natural forest per biome is presented (Figure 8). Figure 8. Typical growth of timber under natural forest regeneration per biome, in tDW/ha/yr - 32 - Planbureau voor de Leefomgeving Global recovery potential of forest areas The vegetation in the biomes can regenerate to a certain additional stock. In addition to the current stocking values presented in Table 10. Table 12 shows the potential stock values that can be reached after complete regeneration (stock over the rotation cycle = stock over x years), excluding the area designated for agricultural purposes. Table 12. Potential additional stock of natural forest ecosystems per biome, excluding agricultural land. Biome Potential Potential Potential Potential Potential additonal additonal additonal additional additonal above ground total standing fibre carbon biomass biomass timber (MtDW/ (MtC/ (MtDW/ (MtDW/ (Mm3/ biome) biome) biome) biome) biome) 18,481 25,135 11,642 16,430 11,813 Boreal Mediterranean 2,399 3,599 1,495 2,128 1,692 Temperate broadleaf 65,897 81,713 36,610 57,111 38,405 Temperate coniferous 38,190 45,829 22,465 33,473 21,539 Tropical dry broadleaf 16,571 21,211 10,324 14,697 9,969 Tropical moist broadleaf Global 173,460 237,641 88,954 148,108 111,691 315,000 415,127 171,490 271,947 195,110 Table 13 below shows the potential total stock of natural forest ecosystems. This is the sum of the current natural forest stock (table 10) and the potential additional stock (table 12). Table 13. Total potential stock of natural forest ecosystems per biome, excluding agricultural land. Biome Potential above ground biomass (MtDW/ biome) Potential total biomass (MtDW/ biome) Potential standing timber (Mm3/ biome) Potential fibre (MtDW/ biome) Potential carbon (MtC/ biome) Boreal 56,022 76,190 35,290 49,802 35,809 Mediterranean 3,577 5,366 2,229 3,173 2,522 Temperate broadleaf 126,674 157,076 70,374 109,784 73,826 Temperate coniferous 99,383 119,260 58,461 87,107 56,052 Tropical dry broadleaf 28,595 36,602 17,816 25,362 17,203 Tropical moist broadleaf 490,844 672,457 251,715 419,105 316,055 Global 805,096 1,066,950 435,885 694,333 501,467 - 33 - Planbureau voor de Leefomgeving 4.2.2 Global recovery potential of forest areas Harvest loss of natural forest Table 14 below shows that Annual Allowable Cut (AAC) per biome is lowest for tropical biomes. This is mainly due to the small percentage of harvestable species, but also to slow growth in mature natural forest. As a rule of thumb, the AAC in non-tropical biomes is approximately 65% of the annual (commercial and non-commercial) growth of natural forests presented in table 18 (converted to volumes). Table 14 shows that the global total potential harvest losses due to deforestation and degradation are large. The annual potential harvest loss is largest in the temperate broadleaf biome, followed by temperate coniferous and boreal biomes. The AAC and annual harvest loss are presented as volumes (m3) as they apply to commercial timber volumes that are harvested. An expression in volumes (m3) is consistent with forestry practices and literature. The timber volumes can be transformed to weight and to other variables (carbon, fibre, biomass) by applying the conversion factors explained in the methodology chapter. Table 14. Annual Allowable Cut and annual harvest loss of deforested, degraded and fragmented forest ecosystems and agricultural land compared to potential annual harvest per biome. Biome AAC Annual potential harvest loss (Mm3/yr) 3 (m /ha/yr) Fragmented Degraded Deforest Agricultu Total ed re 2.5 506 452 66 12 Boreal 1,036 Mediterranean 1.6 23 40 120 126 310 Temperate broadleaf 3.2 421 635 518 1,071 2,646 Temperate coniferous 9.5 549 424 170 156 1,299 Tropical dry broadleaf 0.2 4 14 14 22 53 Tropical moist broadleaf Subtotals 0.9 165 368 144 201 878 1,669 1,933 1,032 1,587 6,222 In the figure below, the typical growthV in m3/ha/yr of timber of the original forest cover is presented per biome (Figure 9). - 34 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Figure 9. Typical productivity of natural forest vegetation per biome in m3/ha/yr. The data presented can be compared to those presented in the chapter on plantations below to evaluate the differences between natural regeneration and regeneration through planting. It should be noted that natural regeneration is calculated to the level of maximum biomass stocking, whereas plantations are often managed for certain products. Long rotation plantations might reach their maximum biomass stocking well before the end of the rotation cycle. This goes for regenerating natural forests as well. - 35 - Planbureau voor de Leefo omgeving 4.2.3 Global recovery potenntial of forest arreas Repla acing deg graded ve egetation with plan ntations Figure 1 10. Vegetatio on repeatedly y logged with hout the requ uired time forr regrowth beecomes degrraded. A method for accelerating re ecovery of land to a productive state is thhe establish hment of plantatio may take long to de ons. Where e natural vegetation v evelop to a productiv ve state, plantatio ons can ach hieve this in n a short pe eriod of time e. To estimate the prodductivity pe er biome, yield tab bles of vario ous common plantation n species have been consulted (seee referenc ces). Per biom me speciess have been n selected tthat are fre equently pla anted and w whose silvic culture is well und derstood (ta able 15). - 36 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Table 15. Selected plantation tree species per biome and their main products. Pu: Pulp (thinning), Po: Poles (thinning), St: Sawn timber (thinning + final harvest). Biome Species Common name Product types Boreal Larix gmelinii Eastern larch St Picea abies Norway spruce Pu, St Pinus banksiana Jack pine Pu, St Eucalyptus grandis Giant gum Pu, St Pinus halepensis Aleppo pine Pu, St Pinus radiata Radiata pine Pu Cryptomeria japonica Japanese cedar Pu, St Quercus robur Pedunculate oak Pu, St Populus deltoides Poplar Pu Cryptomeria japonica Japanese cedar Pu, St Abies grandis Grand fir Pu, St Thuja plicata Western red cedar Pu, St Eucalyptus camaldulensis Red river gum Pu Shorea robusta Sal Pu, St Tectona grandis Teak Po, St Tectona grandis Teak Po, St Paraserianthes falcataria Albizia Pu, St Eucalyptus grandis Giant gum Pu, St Mediterranean Temperate broadleaf Temperate coniferous Tropical dry broadleaf Tropical moist broadleaf Of these species, information on growth was collected from articles and yield tables. Yield tables often provide the best insight in the growth of a species in plantations. Unfortunately yield tables cannot always be found for suitable species or only very summarized information is available. To be able to make meaningful calculations information about rotation length and growth is needed. In the table below basic information on the selected species is presented (table 16). - 37 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Table 16. Basic parameters of selected plantation types per biome. Biome Plantation type Rotati Growt Abovegr Total on hV ound biomass 3 age (m /ha biomass (tDW/ (yr) /yr) (tDW/ ha) ha) 190 0.4 27.4 37.2 Boreal Larix gmelinii Mediterranea n Temperate broadleaf Temperate coniferous Tropical dry broadleaf Tropical moist broadleaf Global min max Final Harvest (m3/ha) Total fiber (tDW/ ha) 47 39 Picea abies 74 6.2 109 149 206 139 Pinus banksiana 100 4.1 92 125 184 119 Eucalyptus grandis Pinus halepensis Pinus radiata pulpwood Cryptomeria japonica Quercus robur 29 16.0 184 276 278 212 120 3.9 114 171.5 161 110 16 20.0 141 211 256 175 80 7.8 196 243 280 222 120 6.5 282 350 352 303 Populus deltoides Cryptomeria japonica Abies grandis 8 14.0 72 89 90 77 80 7.8 196 236 280 222 150 7.9 375 451 536 424 Thuja plicata 80 24.2 610 733 872 689 Eucalyptus camaldulensis Shorea robusta 10 12.0 63 81 96 73 50 9.5 141 181 214 163 Tectona grandis 30 8.6 102 131 155 118 Tectona grandis 20 17.0 258 354 272 262 Paraserianthes falcataria Eucalyptus grandis 8 50.0 304 416 320 309 16 15.0 182 250 192 185 639 1631 838 2,104 866 2,243 707 1,814 In the figure below, the GrowthV of forest plantations is presented for the selected plantation types, per biome (Figure 11). - 38 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Figure 11. GrowthV (MAI) of forest plantations for selected tree species per biome, in m3/ha/yr. To be able to conclude what the potential is for these biomes the areas they represent have to be multiplied with the values per hectare. Using the area per biome and the productivity data per species, a list of potential plantation forest stock per biome is calculated. The areas included in this calculation are the areas that are currently without forest cover: 100% of deforested land, 100% of degraded land (assuming that the current, degraded vegetation is removed before replanting with the plantation species), 30% of fragmented land (assuming that the 70% of intact forest remains untouched). Stock numbers were calculated with each selected plantation tree species applied to the whole biome. This allows for a comparison per biome between stocks in natural regeneration or assisted natural regeneration and plantation development (table 17). Please note that the timber stock presented in this table illustrates the total amount of timber produced in the rotation cycle, including the thinnings. - 39 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Table 17. Potential stock of selected plantation types for each biome. Biome Plantation type Total timber (Mm3/biome) Total fiber (Mt/biome) Total carbon (MtC/biome) Boreal Larix gmelinii 31,811 12,010 7,046 Picea abies 184,653 55,756 28,150 Pinus banksiana 164,208 48,031 23,616 Eucalyptus grandis 53,012 24,237 14,800 Pinus halepensis 52,783 16,270 9,210 Pinus radiata pulpwood 36,560 20,035 11,341 Cryptomeria japonica 305,808 108,715 56,141 Quercus robur 384,149 148,666 80,598 Populus deltoides 54,949 37,805 20,495 Cryptomeria japonica 75,233 26,745 13,366 Abies grandis 143,870 51,146 25,560 Thuja plicata 233,910 83,155 41,556 Eucalyptus camaldulensis 17,074 10,409 5,424 Shorea robusta 67,586 23,175 12,076 Tectona grandis 36,753 16,803 8,756 Tectona grandis 247,765 191,274 121,247 Paraserianthes falcataria 291,488 225,029 142,644 Eucalyptus grandis 174,893 135,017 85,586 390,520 1,214,798 238,256 - 560,018 141,127 319,824 Mediterranea n Temperate broadleaf Temperate coniferous Tropical dry broadleaf Tropical moist broadleaf Global min max 4.2.4 Comparing regeneration scenarios In order to compare growth in natural and plantation forests, GrowthW (in tonDW/ha/yr), was converted to GrowthV (in m3/ha/yr), using the Biomass Conversion and Expansion Factor (BCEF), see paragraph 3.2. Comparing the results from the study on natural regeneration of degraded vegetation, in managed and unmanaged conditions to plantation forestry shows that results can often be obtained quicker and with more certainty when the option of planting is chosen (table 18). The GrowthV of forest in the natural regeneration option is divided into commercial and non-commercial growth. Commercial growth is equal to Annual Allowable Cut (AAC), indicating the growth that is harvested in practice. This number can be compared to the growth of plantation forest, as both numbers represent commercialized volumes. Noncommercial growth in the natural regeneration option is calculated as total growth of timber minus the AAC. This number represents the growth volume of timber that is not harvested in practice. - 40 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Table 18. GrowthV for plantations and GrowthW of natural forest, per biome. Biome Plantation option Natural regeneration option Plantation type GrowthV (m3/ha/yr) GrowthV noncommercial (m3/ha/yr) GrowthV commercial (m3/ha/yr) Boreal Pinus banksiana 4.1 1.4 2.5 Mediterranean Eucalyptus grandis 16.0 0.9 1.6 Temperate broadleaf Cryptomeria japonica 7.8 1.7 3.2 Temperate coniferous Thuja plicata 24.2 5.1 9.5 Tropical dry broadleaf Eucalyptus camaldulensis 12.0 7.1 0.2 Tropical moist broadleaf Tectona grandis 17.0 7.5 0.9 In the table below, we present the potential total timber stock for the plantation option and the natural forest regeneration, including the time required to reach the maximum timber stock (table 19). The rotation age and regeneration time indicate the time required to reach the indicated stock levels for the plantation scenario and the natural forest scenario respectively. The bottom row presents the global sum of the potential timber stock, achieved in a full plantation coverage and full natural forest scenario. Table 19. Potential total timber stock and rotation time/regeneration time of plantation and regenerated natural forest per biome. Plantation option Natural regeneration option Biome Rotatio n age Total timber (Mm3/biome) Regeneration time managed (yr) Regeneration time unmanaged (yr) Total timber (Mm3/biome) Boreal 100 73,893 22 33 11,642 Mediterranean 29 31,807 12 18 1,495 Temperate broadleaf 80 137,614 33 50 36,610 Temperate coniferous 80 105,260 32 48 22,465 Tropical dry broadleaf 10 13,660 23 68 10,324 Tropical moist broadleaf 20 198,212 28 84 88,954 Global 560,445 171,490 The areas most promising for forest restoration were calculated per biome (table 20). These areas fall in the deforested and degraded areas as presented in table 1. - 41 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Table 20. Area of most promising land for reforestation, per degradation level, per biome. Biome Deforested land (ha) Degraded land (ha) Boreal Forest 3,298,800 42,372,300 Mediterranean 4,663,500 5,981,800 Temperate broadleaf 24,597,800 70,602,400 Temperate Coniferous 4,836,900 24,113,300 Tropical Dry Broadleaf 4,861,600 21,669,900 Tropical Moist Broadleaf 31,783,300 152,408,200 Total 74,041,900 317,147,900 The potential stock that can stand on the most promising areas for forest restoration was calculated for both the natural regeneration and the plantation forest scenario (table 21 and 22).For the plantation option, it was assumed that the most promising areas on degraded land were cleared before planting. Table 21. Potential plantation stock on most promising areas for forest restoration, per biome. Biome Plantation type Potential aboveground biomass (MtDW) Potential total biomass (MtDW) Potential timber (Mm3) Potential fiber (MtDW) Potential carbon (MtC) Boreal Pinus banksiana 4,193 5,702 8,385 5,450 2,680 Mediterra nean Eucalyptus grandis 1,956 2,934 2,964 2,964 2,258 Temperat e broadleaf 18,692 23,178 26,703 26,703 21,095 Cryptomeria japonica Temperat e coniferou s Thuja plicata 17,673 21,208 25,247 25,247 19,946 Tropical dry broadleaf Eucalyptus camaldulens is 1,681 2,152 2,547 2,547 1,941 Tropical moist broadleaf Tectona grandis 47,595 65,205 50,100 50,100 48,347 91,790 120,379 115,947 113,012 96,267 Total - 42 - Planbureau voor de Leefomgeving Global recovery potential of forest areas Table 22. Potential natural forest stock on most promising areas for forest restoration, per biome. Biome Potential aboveground biomass (MtDW) Potential total biomass (MtDW) Potential timber (Mm3) Potential fiber (MtDW) Potential carbon (MtC) Boreal 2,407 3,273 1,516 2,140 1,538 Mediterranean 278 417 173 247 196 Temperate broadleaf 13,231 16,407 7,351 11,467 7,711 Temperate coniferous 10,158 12,190 5,976 8,904 5,729 Tropical dry broadleaf 3,427 4,387 2,135 3,040 2,062 Tropical moist broadleaf 44,502 60,968 22,822 37,998 28,655 Total 74,004 97,642 39,973 63,795 45,892 - 43 - Planbureau voor de Leefomgeving Global recovery potential of forest areas 5. CONCLUSIONS In order to provide insight into the extent to which forest and related functions may be potentially restored, data on current forest status and on growth potential is useful. Though exact information on the extent of lands available for forest restoration, reforestation or land reclamation is not currently available, rough estimates can be made with existing data sets. When comparing the information from the World Resource Institute (Laestadius et al. 2012) with information on biomes form the World Wildlife Fund (Olson et al., 2001) the 6 biomes we studied cover 4,426 million hectares (44 million km2) of which 1,035 million hectares (10 million km2) are currently intact forests (total terrestrial area without ice cover is about 130 million km2). Approximately 1,988 million hectares of forest is fragmented and 903 million ha is degraded. Of the potential range of forest within the biomes studied, 499 million hectares are deforested. Another 748 million hectares of deforested and degraded land is classified as agricultural land. The total area that has the potential for forest restoration is approximately 1998 Mha, 491Mha of which is classified as most promising for reforestation. The various biomes differ in stock and productivity due to climatic and soil conditions, but also due to the species composition of the vegetation. The forests in the Mediterranean zones and in the boreal zones have a low annual productivity whereas the temperate coniferous forests and the temperate moist broadleaf and mixed forests have a high natural stock and productivity when managed responsibly. The stock and (economic) productivity of tropical and subtropical moist forests is surprisingly low. The reason for this is that of the total tree biomass only a few species are currently of commercial interest. The regeneration time for degraded forest vegetation to recover to a vegetation with maximum biomass is quite variable between the biomes. This rate is low for boreal forests and Mediterranean forests and quite high for tropical and subtropical moist forest and temperate coniferous forests. The time it will take in Boreal forests to go from deforested to forest with maximum above ground biomass is 33 years when no assistance is provided and 22 years when assistance is provided. For tropical and subtropical moist forest these recovery times are 84 and 28 years respectively. The difference between unmanaged boreal and tropical can be explained by the much higher pressure of degrading impacts on tropical lands and the rapid loss of ecosystem integrity following forest loss. Once vegetation has been cleared it will often stay that way due to shifting cultivation, fire and grazing activities. Also, degradation leads to persistent disturbance vegetations, degraded soils and loss of biotic recovery potential such as seed dispersal capacity. When comparing the recovery rate of natural vegetation with the rate at which plantations can accumulate biomass and be productive, the difference between boreal and (sub)tropical moist forest is caused by different aspects. Plantation forests in the boreal forest areas are very similar to natural forests in that area, regarding tree species and forest composition. To a lesser extent this is true for temperate broadleaf and mixed forest and temperate coniferous forest as well. The growth of plantations and forests regenerating spontaneously will be rather similar for this reason. Plantations in (sub)tropical moist forests are usually very different from the original vegetation. High yielding exotic species are mostly used to create - 44 - Planbureau voor de Leefomgeving Global recovery potential of forest areas plantations. In terms of the harvestable volume per hectare per year the difference can be as much as tenfold. When deciding a strategy on how to deal with degraded forests or degraded lands, choices have to be made on resources that can be allocated to restoration activities. From the study it becomes clear that plantations can be a means to quickly install a productive vegetation in a given area. Depending on the condition of the soil, the climate and biotic and abiotic risks, this can be an expensive activity. Unfortunately areas where the adverse factors decrease growth potential of tree plantations, thereby increasing production costs, are also areas where spontaneous regeneration, suffering from these same factors, is extremely difficult. The possibilities have to be studied on a case by case basis. One of the feasible options is to design a strategy so that the areas with highest risk for further degradation and the areas with best possibility for high production are planted with priority. This would avoid the risk of losing the best terrains and may halt the degradation beyond recovery of the others. Combined strategies of assisted natural regeneration and plantation development can also be explored, especially in areas where mosaics of different degradation states and other land uses are found. Internal analyses performed by Form international indicated in 2010 that natural forest restoration combined with forest plantation development can be very costeffective. A great body of scientific information exists on the productivity of natural vegetation in the various biomes. Currently only few publications exist that bundle the stock and productivity of natural vegetation from all biomes. For the productivity of plantations such bundling does not exist. Much of the information on the productivity of plantations is still only found in grey literature and currently little research is done on this subject. It would be good that more information on plantation species becomes available so the choice whether or not to invest in plantations becomes easier and based on research and quantitative data. We believe that detailed species information may also increase diversity in plantation activities. - 45 - Planbureau voor de Leefomgeving Global recovery potential of forest areas 6. REFERENCES • • • Alder, D., Drichi, P., Elungat D., 2003, Yield of Eucalyptus and Carribean Pine in Uganda, Uganda Forest Resources Management and Conservation Program Anonymous, Le cèdre de l’atlas, Centre Régional de la Propriété Forestière de PoitouCharentes; http://www.crpf-poitou-charentes.fr/Le-cedre-de-l-Atlas.html Bermejoa, I., Cañellasa, I., San Miguel, A., ,2004, Growth and yield models for teak plantations in Costa Rica, Forest Ecology and Management 189 (2004) 97–110 Bertault, J.G., Sist, P., 1997. An experimental comparison of different harvesting intensities with reduced-impact and conventional logging in East Kalimantan, Indonesia. Forest Ecology and Management 94, 209–218. Bongers, F. and Tennigkeit, T. 2010, Degraded forests in Eastern Africa. Brearley, F.Q., S. Prajadinata, P.S. Kidd, J. Proctor, Suriantata (2004) Structure and floristics of an old secondary rain forest in Central Kalimantan, Indonesia, and a comparison with adjacent primary forest. Burkhardt, H.J., 1994, Maximizing Forest Productivity, with examples of the forests of Medocino Country, California Candy, S.G., 1997, Growth and Yield models for Eucalyptus nitens plantations in Tasmania and New Zealand Carter, M.C., White, E.H., 1971. Dry weight and nutrient accumulation in young stands of cottonwood (Populus deltoides Bartr) Circ. 190. Ala Agri. Exp. Sta., Auburn Al 14 pp. Chazdon, R.L. (2003) Tropical forest recovery: legacies of human impact and natural disturbances. Pers in Plant, Ev and Syst, Vol 6/1,2, pp51-71. Cubbage, F., Koesbandana, S., Mac Donagh, P., Rubilar R., Balmelli, G., Morales Olmos, V., De La Torre, R., Murara, M., Hoeflich, V.A., Kotze, H., Gonzalez, R., Carrero, O., Frey, F., Adams, T., Turner, J., Lord, R., Huang, J., MacIntyre, J., McGinley, K., Abt, R., Phillips, R., 2010, Global timber investments, wood costs, regulation, and risk, http://dx.doi.org/10.1016/j.biombioe.2010.05.008 Cubbage, F., Mac Donagh, P., Sawinski, J., Rubilar, R., Donoso, P., Ferreira, A., Hoeflich, V., Morales Olmos, V., Ferreira, G., Balmelli, G., Siry, J., Báez, M.N., Alvarez, J., ,2007,Timber investment returns for selected plantations and native forests in South America and the Southern United States, New Forests (2007) 33:237–255 Dauber, E., Fredericksen, T.S., Pena, M., 2005, Sustainability of timber harvesting in Bolivian tropical forests. Forest Ecology and Management 214 (2005) 294–304 De Graaf, N.R., 1986, A Silvicultural system for natural regeneration of tropical rain forest in Surinam (PhD dissertation Wageningen Agricultural University) Dupuy, B., Maître, H.F., Kanga, A.N., 1999, Table de production du Teck, L'exemple du Côtre d'Ivoire, Bois et Fôrets des Tropiques (261) 3, 5-16 Eckmüllner, O, 2006, Eigene Fichtenertragstafeln für Tirol (Institut für Waldwachstum, BOKU Wien) http://www.tirol.gv.at/themen/umwelt/wald/wirtschaft/ertragstafeln/ Egglestone, S., Buendia, L., Miwa, K., Ngara, T. and Tanabe, K. (eds.) 2006, IPCC Guidelines for National Greenhouse Gas Inventories: Volume 4: Agriculture, Forestry and Other Land Use, Intergovernmental Panel on Climate Change Evans, A.M., Perschel, R.T. and Kittler, B.A., 2010, Revised Assesment of Biomass Harvesting and retention Guidelines, Forest Guild, Santa Fe, www.forestguild.org - 46 - Planbureau voor de Leefomgeving • • • Global recovery potential of forest areas FAO, 2002, Management of Natural Forests of Dry Tropical Zones. Case Study 3: Morondava Forest (West Coast of Madagascar). FAO, 2011, State of the World s forests, Food and Argiculture Organization of the United Nations, Rome Finegan, B. (1996) Pattern and process in neotropical secondary rain forests: the first 100 years of succession. Tree vol 11, no3, pp119-124. Fittkau, E.J. and Klinge, N.H. (1973). On biomass and trophic structure of the central Amazonian rainforest ecosystem. Biotropica 5: 2-14. (in IPCC 2006) Fölster, H., De las Salas, G. and Khanna, P., 1976, A tropical evergreen forest site with perched water table, Magdalena Valley, Colombia,. Biomass and bioelement inventoryof primary and secondary vegetation. Oecologia Planta, 11, 297-320 Form valuation internal analysis of logging concession data (private client) Gower, S.T., Gholz, H.L., Nakane, K., and Badwin, V.C. 1994, Production and allocation patterns of pine forests. Ecol. Bull. (Copenhagen) 43; 115-135. Guariguata, M.R. and R. Ostertag (2001) Neotropical secondary forest succession: changes in structural and functional characteristics. Forest Ecology and Management 148, pp 185-206`. Hamilton, G.J. and J.M. Christie, 1971, Forest management tables (metric). Forestry Commission Booklet No 34. 201 p. (compilation of Scots pine, Corsican pine, lodgepole pine, sitka spruce, Norway spruce, European larch, Japanese larch, Douglas fir, western hemlock, cedar, cypress, grand fir, noble fir, oak, beech, sycamore, ash, birch, and poplar) Herrera W. 1985. Clima de Costa Rica: Vegetación y Clima de Costa Rica. Volumen 2. Editor Luis Diego Gómez. San José, Costa Rica. UNED. 118 p. Hillis, W. E. and Brown, A. G. 1984. Eucalypts for wood production. CSIRO/Academic Press. London. 434 p. Holmes, T.P, Blate, G.M., Zweede, J.C., Pereira Jr., R., Barreto, P., Boltz, F., Bauch, R., 2002, Financial and ecological indicators of reduced impact logging performance in the eastern Amazon. Forest Ecology and Management 163 (2002) 93–110 Jansen, J.J., Sevenster, J., and Faber, P.J., 1996, Opbrengsttabelen voor belangrijke boomsoorten in Nederland, IBN-rapport 221, Hinkeloord Report No. 17 Jayaraman, K. and Rajan, A.R., 1991, Yield form Acacia auriculisformis plantations in Kerala, KFRI Research Report 81, Kerala Forest Research Institute Peechi, Thrissur Jordan, C.F. and Uhl, C., 1978, Biomasa of a "tierra firme" forest of the Amazon Basin. Oecologia Plantarum 13(4): 387-400. Kajimoto, T., Matsuura, Y., Sofronov, M.A., Volokitina, A.V., Mori, S., Osawa, A. and A.P. Abaimov, 1999, Above- and belowground biomass and net primary productivity of a Larix gmelinii stand near Tura, central Siberia; Tree Physiology 19, 815-822 Klinge H, R Herrera. 1983. Phytomass structure of natural plant communities on spodosolsin Southern Venezuela: The tall Amazon Caatinga Forest. Vegetatio 53: 6564. Klinge, H., 1976, Bilanzierung von Hauptnährstoffen im Ökosyste, tropischer Regenwälder (Manaus) - Vorlaufige Daten. Biographica 7, 59-76 Krisnawati, H., Varis, E., Kallio, M. and Kanninen, M. 2011 Paraserianthes falcataria (L.) Nielsen: ecology, silviculture and productivity. CIFOR, Bogor, Indonesia. Kurz, W.A. and Apps, M.J., 1993, Contribution of Northern forests to the global C cycle: Canada as a case study. Water Air Soil Pollution, 70, 163-176 - 47 - Planbureau voor de Leefomgeving • • Global recovery potential of forest areas Laestadius, L., Minnemeyer, . and Leach, A. 2012. Assessment of Global Forest Degradation. World Resources Institute; Draft internal working paper. Washington, DC. Lamprecht, H., 1989, Silviculture in the Tropics, Tropical Forest Ecosystems and Their Tree Species - Possibilities and Methods for Their Long-Term Utilization, Deutsche Gesellschaft für Zusammenarbeit (GTZ) GmbH, Eschborn Leggate, W., Palmer, G., McGavin, R., and Muneri, A., 2000, Productivity, sawn recovery and potential rates of return from eucalypt plantations in Queensland. Paper in proceedings of IUFRO Conference – “The future of eucalypts for wood products", Launceston, Tasmania, 19-24 March, 2000. pp. 228-239 Leibundgut, H., 1951, Der Wald, Büchergilde Gutenberg, Zürich, 222 pp Lodhiyal L.S. , Lodhiyal, N., 1997, Variation in biomass and net primary productivity in short rotation high density central Himalayan poplar plantations, Forest Ecology and Management 98 (1997) 167- I79 Matsumura, N., 2011, Yield Prediction for Acacia mangium, Plantations in Southeast Asia; FORMATH Vol. 10 (2011): 295–308; McGroddy, M.E., Daufresne, T. and Hedin, L.O. ,2004, Scaling of C:N:P stoichiometry in forests worldwide: Implications of terrestrial Redfield-type ratios. Ecology 85: 2390-2401. Medjibe, V.P. and Putz, F.E. 2012, Cost comparisons of reduced-impact and conventional logging in the tropics. Journal of Forest Economics 18 (2012) 242–256 Mokany, K., Raison, R.J., Prokushin, A.S., 2006, Critical analysis of root : shoot ratios in terrestrial biomes. Global Change Biology (2006) 12, 84–96, Montero, G. Cañellas, I. and R. Ruíz-Peinado, 2001, Growth and Yield Models for Pinus halepensis Mill. Invest. Agr.: Sist. Recur. For. Vol. 10 (1), 2001 Mooney, H. A., 1981, Primary production in Mediterranean-climate regions. In: Di Castri, F., Goodall, D.W., Sprecht, R.L., 1981, Mediterranean-type Shrublands, Vol. 11 pp 249255, Elsevier Scientific Publishing Company, Amsterdam. Nikles, D.G, Bevege, D.I., Dickinson, G.R., Griffiths, M.W., Reilly, D.F., and Lee, D.j., 2008, Developing African mahogany (Khaya senegalensis) germplasm and its management for a sustainable forest plantation industry in northern Australia: progress and needs Nishizono , T., Iehara, T., Kuboyama, H., Fukuda, M., 2005, A forest biomass yield table based on an empirical model, Journal of Forest Research (2005) 10:211–220 Niskanen, A. 1999. The financial and economix profitability of field afforestation in Finland. Silva Fennica 33(2): 145–157. Olson, D. M., E. Dinerstein, E. D. Wikramanayake, N. D. Burgess, G. V. N. Powell, E. C. Underwood, J. A. D’amico, I. Itoua, H. E. Strand, J. C. Morrison, C. J. Loucks, T. F. Allnutt, T. H. Ricketts, Y. Kura, J. F. Lamoreux, W. W. Wettengel, P. Hedao, and K. R. Kassem. (2001). Terrestrial ecoregions of the World: A new map of life on Earth. BioScience 51(10): 1-6. Pandey, D. and Brown, C., 2000, An overview of global teak resources and issues affecting their future outlook, Unasylva 201 - vol.51 Pinard, MA, Putz, F.E., Tay, J., 2000, Lessons learned from the implementation of reduced impact logging in hilly terrain in Sabah, Malaysia. International Forestry Review 2 (1) Plonski, W.L. 1956. Normal yield tables for black spruce, jack pine, aspen, and white birch in northem Ontario. Ont Dep. Lands For., Timber Manage. Dir. No. 24,40 p. - 48 - Planbureau voor de Leefomgeving • • • • • Global recovery potential of forest areas Plonski, W.L. 1960. Normal yield tables pine, aspen, white birch, tolerant Toronto, for black hardwood, Ont. Rep. spruce, jack white pine, and red pine for Ontario. Ont. Dep. Lands For., Toronto, ON. Silvic. Ser. Bull. 2,39 p. Plonski, W.L. 1974. Normal yield tables (metric) for major forest species of Ontario. Ont. Min. Nat. Resour., Toronto, ON. 40 p. Rambal, S., 2001, Hierarchy and Productivity of Mediterranean-Type Ecosystems. In: Roy, J., Saugier, B., and Mooney, H.A., (eds.) Terrestrial Global Productivity, Academis Press Reich, P.B. and Bolstad, P., 2001, Productivity of Evergreen and Deciduous Temperate Forests. In: Roy, J., Saugier, B., and Mooney, H.A., (eds.) Terrestrial Global Productivity, Academis Press Saldarriaga JG, DC West, ML Tharp, C Uhl. 1988. Long-term chronosequence of forest succession n the upper Río Negro of Colombia and Venezuela. Journal of Ecology 76: 938-958. Saugier, B., Roy. and Mooney. H.A., 2001, estimations of Global Terestrial Productivity: Converging toward a Single Number? In: Roy, J., Saugier, B., and Mooney, H.A., (eds.) Terrestrial Global Productivity, Academis Press Shivdenko, A. and Nilsson, S., 1994, What do we know about the Siberian Forests? Ambio 23, 396-404. Singh, S. P., 1980, Growth and yield of (Shorea robusta) sal in taungya plantations of Gorokhpur Forest Division. Indian Forester 1980 Vol. 106 No. 7 pp. 474-481 Sist, P. and Ferreira, F.N., 2007, Sustainability of reduced-impact logging in the Eastern Amazon. Forest Ecology and Management 243 (2007) 199–209 Sist, P., Nolan T., Bertault J-G, Dykstra D., 1998, Harvesting intensity versus sustainability in Indonesia. Forest Ecology and Management 108 (1998) 251-260) Sist, P., Sheil, D., Kartawinata, K., Priyadi, H., 2003, Reduced-impact logging in Indonesian Borneo: some results confirming the need for new silvicultural prescriptions. Forest Ecology and Management 179 (2003) 415–427" Skolmen, R., 1983, Review of Worldwide Growth and Yield Part 4. Growth and Yield Growth and Yield of Some Eucalypts of Interest to California Specht, R.I., 1969, A comparison of the sclerophyllous vegetation characteristic of Mediterranean type climates in France, California, and Southern Australia II, Dry matter, energy, and nutrient accumulation. Australian Journal of Botany 17 293-308. Stanners, D. and Bourdeau, P., 1995, "Europe's Environment: The Dobris Assesment" European Environment Agency, Copenhagen Tsui O.W., Coops, N.C, Wulder, M.A., Marshall, P.L., McCardle, A., 2012, Using multifrequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest, ISPRS Journal of Photogrammetry and Remote Sensing 69 (2012) 121–133 Ugalde, L., Pérez, O and Mead, D.J, 2001, Mean annual volume increment of selected industrial forest plantation species. Forest Plantations Thematic Papers FAO, Rome (Italy) Vanclay, J.K., 1993, Tropical rainforest logging in north Queensland: was it sustainable? Ann. For 1 (1): 54-60 Van Gemerden B.S., G.N. Shu and H. Olff (2003) Recovery of conservation values in Central African rain forest after logging and shifting cultivation. Biodiversity and Conservation 12: 1553-1570 - 49 - Planbureau voor de Leefomgeving • Global recovery potential of forest areas Whittaker, R.H., Bormann, F.H., Likens G.E., Siccama, T.G., 1974, The Hubbard Brook Ecosystem Study: Forest Biomass and Production, Ecological Monographs (1974) 44 pp 233-252 WWF, Ecoregions: www.worldwildlife.org/biomes - 50 - Planbureau voor de Leefomgeving Global recovery potential of forest areas APPENDIX A. LITERATURE SOURCES OF ABOVEGROUND BIOMASS FOR NATURAL FOREST COVER Biome Continent Abovegound biomass Source Boreal Asia 56 Shivdenko & Nilsson 1994 (p243) Europe 101 Stanners & Bourdeau 1995 (p244) North America 47 Kurz & Apps 1993 (p241) Total 60 Africa 523 Rambal in Roy et al (2001) Asia 111 Rambal in Roy et al (2001) Australia 470 Rambal in Roy et al (2001) Europe 258 Rambal in Roy et al (2001) North America 249 Rambal in Roy et al (2001) South America 61 Rambal in Roy et al (2001) Total 36 Australia 360 IPCC (2006) Asia 125 IPCC (2006) Europe 120 IPCC (2006) North America 162 Whittaker 1974 South America 155 IPCC (2006) Total 146 Africa 120 IPCC (2006) Asia 125 IPCC (2006) Europe 120 IPCC (2006) North America 550 Tsui (2012) Mediterranean Temperate broadleaf Temperate coniferous - 51 - Planbureau voor de Leefomgeving Tropical dry broadleaf Tropical moist broadleaf Global recovery potential of forest areas Total 364 Africa 130 IPCC (2006) Asia 145 IPCC (2006) North America 210 IPCC (2006) South America 167,6 IPCC (2006), Klinge & Herrera (1983), Jordan & Uhl (1978), Saldarriaga (1985) Total 155 Africa 285 IPCC (2006) Asia 262 IPCC (2006) Australia 220 IPCC (2006) South America 221 IPCC (2006), Klinge (1976), Fölster et al. (1976) Total 247 - 52 - SEIA Afrenso Brohuma FORM Ghana APPENDIX B. LITERATURE SOURCES OF ROOT/SHOOT RATIO AND GROWTH OF NATURAL FOREST Biome Root/shoot ratio Source GrowthW (tonDW/ha/yr) Source Boreal 0.36 Gower 2.3 Roy et al (2001) Mediterranean 0.5 Roy et al. (2001) 1.5 Mooney (1981), Specht (1969a) Temperate broadleaf 0.24 Monkany (2006) (in IPCC 2006) 3.95 IPCC (2006) weighted average by surface area of continents Temperate coniferous 0.2 Monkany (2006) (in IPCC 2006) 10.2 IPCC (2006) weighted average by surface area of continents Tropical dry 0.28 Monkany (2006) (in IPCC 2006) 4.4 IPCC (2006) Tropical moist 0.37 Fittkau & Klinge (1973) (in IPCC 2006) 7.9 IPCC (2006) - 53 - Planbureau voor de Leefomgeving Global recovery potential of forest areas APPENDIX C. LITERATURE SOURCES OF ANNUAL ALLOWABLE CUT IN MANAGED NATURAL FOREST Biome BCEF GrowthV (m3/ha/yr) Yield factor AAC (m3/ha/yr) Source Boreal GrowthW (tonDW/ha/ yr) 2.3 0.59 3.9 0.65 2.54 Roy et al (2001) Mediterranean 1.5 0.61 2.5 0.65 1.61 Temperate broadleaf 3.95 0.8 4.9 0.65 3.21 Temperate coniferous 10.2 0.7 14.6 0.65 9.47 Tropical dry broadleaf Tropical moist broadleaf 4.4 0.61 7.3 0.22 7.9 0.95 8.4 0.93 Mooney (1981), Specht (1969a) IPCC (2006) weighted average by surface area of continents IPCC (2006) weighted average by surface area of continents Dauber et al. (2005), FAO 2002 Lamprecht (1989), De Graaf (1986), Sist et al. (1998), Sist & Fereira (2007), Pinard et al. (2000), Bertault & Sist (1997), Sist et al. (2003), Medjibe & Putz (2012), Holmes et al. (2002), Vanclay (1993), Form valuations (2011), - 54 -
© Copyright 2026 Paperzz