What Is Secondary about Secondary Tropical Forest? Rethinking Forest Landscapes

Forests have long been locations of contestation between people and state bureaucracies, and among the knowledge frameworks of local users, foresters, ecologists, and conservationists. An essential framing of the debate has been between the categories of primary and secondary forest. In this introduction to a collection of papers that address the questions of what basis, in what sense, and for whom primary forest is ‘primary’ and secondary forest is ‘secondary,’ and whether these are useful distinctions, we outline this debate and propose a new conceptual model that departs from the simple binary of primary and secondary forests. Rather, we propose that attention should be given to the nature of the disturbance that may alter forest ecology, the forms of regeneration that follow, and the governance context within which this takes place.

     

Forest Canopy Stratification-Is It Useful?

It has long been recognized that the forest canopy has a complex structure that is significant for environmental interactions, regeneration, growth, and biotic habitat. Not only is the structure variously complex, but also there are many ways to conceptualize that complexity. Yet the persistent theme when considering the structure of canopies continues to be that of stratification: whether structural units are arranged in layers above the ground. We examined the use of the terms "stratification," "layering," and others in connection with canopy structure and found they had various meanings (often only implied) that were difficult to reconcile and to measure. We applied the definitions to the structure of a single, well-studied canopy located in Virginia, U.S.A., and found they failed to define consistently and clearly the presence, number, or location of strata. Additionally, we found the concept had limitations related to scale dependence, point of reference, and spatial averaging. Thus, asserting that a forest is stratified or naming the number of layers generally provided no guide to its structure. We propose alternative ways of conceptualizing and studying the forest canopy that avoid most of the problems associated with stratification. Among these are direct measurement and mapping of structural and environmental variables that have clear potential connections with canopy functions and viewing the distribution of structures or environmental conditions within the canopy as ecological gradients.     

A Tale of Two “Forests”: Random Forest Machine Learning Aids Tropical Forest Carbon Mapping

Accurate and spatially-explicit maps of tropical forest carbon stocks are needed to implement carbon offset mechanisms such as REDD+ (Reduced Deforestation and Degradation Plus). The Random Forest machine learning algorithm may aid carbon mapping applications using remotely-sensed data. However, Random Forest has never been compared to traditional and potentially more reliable techniques such as regionally stratified sampling and upscaling, and it has rarely been employed with spatial data. Here, we evaluated the performance of Random Forest in upscaling airborne LiDAR (Light Detection and Ranging)-based carbon estimates compared to the stratification approach over a 16-million hectare focal area of the Western Amazon. We considered two runs of Random Forest, both with and without spatial contextual modeling by including—in the latter case—x, and y position directly in the model. In each case, we set aside 8 million hectares (i.e., half of the focal area) for validation; this rigorous test of Random Forest went above and beyond the internal validation normally compiled by the algorithm (i.e., called “out-of-bag”), which proved insufficient for this spatial application. In this heterogeneous region of Northern Peru, the model with spatial context was the best preforming run of Random Forest, and explained 59% of LiDAR-based carbon estimates within the validation area, compared to 37% for stratification or 43% by Random Forest without spatial context. With the 60% improvement in explained variation, RMSE against validation LiDAR samples improved from 33 to 26 Mg C ha⁻¹ when using Random Forest with spatial context. Our results suggest that spatial context should be considered when using Random Forest, and that doing so may result in substantially improved carbon stock modeling for purposes of climate change mitigation.     

How old are Wet Forest understories?

Abstract Radiocarbon ages were derived from 12 individuals representing four species of woody understorey plants growing in the Eucalyptus regnans dominated Wet Forests of Victoria's Central Highlands. Cyathea australis, Dicksonia antarctica and Olearia argophylla are common and often dominate the understorey. The fourth species, Persoonia arborea, is a small understorey tree endemic to this region. Field observations and radiocarbon ages for these four species (up to 370 ± 70 years BP) indicate they are capable of surviving fire and are long-lived in this environment.     

Forest fire may disrupt plant–microbial feedbacks

Plant–microbial feedbacks are important drivers of plant community structure and dynamics. These feedbacks are driven by the variable modification of soil microbial communities by different plant species. However, other factors besides plant species can influence soil communities and potentially interact with plant–microbial feedbacks. We tested for plant–microbial feedbacks in two Eucalyptus species, E. globulus and E. obliqua, and the influence of forest fire on these feedbacks. We collected soils from beneath mature trees of both species within native forest stands on the Forestier Peninsula, Tasmania, Australia, that had or had not been burnt by a recent forest fire. These soils were subsequently used to inoculate seedlings of both species in a glasshouse experiment. We hypothesized that (i) eucalypt seedlings would respond differently to inoculation with conspecific versus heterospecific soils (i.e., exhibit plant–microbial feedbacks) and (ii) these feedbacks would be removed by forest fire. For each species, linear mixed effects models tested for differences in seedling survival and biomass in response to inoculation with conspecific versus heterospecific soils that had been collected from either unburnt or burnt stands. Eucalyptus globulus displayed a response consistent with a positive plant–microbial feedback, where seedlings performed better when inoculated with conspecific versus heterospecific soils. However, this effect was only present when seedlings were inoculated with unburnt soils, suggesting that fire removed the positive effect of E. globulus inoculum. These findings show that external environmental factors can interact with plant–microbial feedbacks, with possible implications for plant community structure and dynamics.     

Are Mosses Required to Accurately Predict Upland Black Spruce Forest Soil Carbon in National-Scale Forest C Accounting Models?

The boreal forest plays a key role in the global carbon (C) cycle, and black spruce (Picea mariana (Mill.) BSP) forests are the dominant coniferous forest type in the Canadian boreal forest. National-scale forest C models currently do not account for the contribution of moss-derived organic matter that we hypothesize to be significant in the C budget of black spruce ecosystems. One such model, the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3), is designed to meet Canada’s forest-related greenhouse gas reporting requirements. In this study our goal was to determine if black spruce forest soil C stocks are significantly underestimated by the CBM-CFS3, and if so, to determine if estimates could be improved by adding moss-derived C. We conclude that in black spruce sites, organic layer C is significantly underestimated by CBM-CFS3 compared to sites with all other leading tree species analyzed. We compiled and used published moss net primary productivity rates for upland forest systems, with decomposition rates, in mass-balance calculations to estimate mean moss-derived C in black spruce forests for feather mosses at 64 Mg C ha^?1, and for sphagnum mosses at 103 Mg C ha^?1. These C pools are similar to the CBM-CFS3 mean underestimation of black spruce soil organic layers (63 Mg C ha^?1). We conclude that the contribution of mosses is sufficiently large that a moss C pool should be added to national-scale models including the CBM-CFS3, to reduce uncertainties in boreal forest C budget estimation. Feather and sphagnum mosses should be parameterized separately.     

Should Forest Restoration with Natural Hybrids Be Allowed?

One of the greatest challenges of forest restoration is the choice of appropriate plant material that is adapted to local environments, provides the desired ecological services, and does not compromise the local biodiversity. Plant restoration programs use native seeds, a mixture of local and introduced seeds of the same species or allopatric species. However, restoration programs rarely use local hybrid individuals if a local species exhibits natural hybridization. Hybridization is an important evolutionary process that can result in new genotypic combinations that might be suited better to the target habitat than the parental species and allow adaptation to rapid environmental change. European forests are generally under strict legal regulations so that only certified seeds can be used for their restoration. The European certification procedure for seeds from forest trees has been devised to commercialize clearly identified species with known adaptation to a given area. Natural hybrids, for which taxonomic status is uncertain and fitness is generally unknown, are excluded, which is not the case of artificial hybrids because they have been previously tested in the field. Here we discuss the pressing need to include natural hybrid populations as a source of certified seeds for restoration purposes. Using the example of two ash species and their well‐adapted hybrids along the Loire River in France, we show why European forest guidelines must be made more flexible to allow the provision of stable ecosystem services.     

Does Long-Term Elevation of CO2 Concentration Increase Photosynthesis in Forest Floor Vegetation? (Indiana Strawberry in a Maryland Forest)

As the partial pressure of CO2 (pCO2) in the atmosphere rises, photorespiratory loss of carbon in C3 photosynthesis will diminish and the net efficiency of light-limited photosynthetic carbon uptake should rise. We tested this expectation for Indiana strawberry (Duchesnea indica) growing on a Maryland forest floor. Open-top chambers were used to elevate the pCO2 of a forest floor habitat to 67 Pa and were paired with control chambers providing an ambient pCO2 of 38 Pa. After 3.5 years, D. indica leaves grown and measured in the elevated pCO2 showed a significantly greater maximum quantum efficiency of net photosynthesis (by 22%) and a lower light compensation point (by 42%) than leaves grown and measured in the control chambers. The quantum efficiency to minimize photorespiration, measured in 1% O2, was the same for controls and plants grown at elevated pCO2. This showed that the maximum efficiency of light-energy transduction into assimilated carbon was not altered by acclimation and that the increase in light-limited photosynthesis at elevated pCO2 was simply a function of the decrease in photorespiration. Acclimation did decrease the ribulose-1,5-bisphosphate carboxylase/oxygenase and light-harvesting chlorophyll protein content of the leaf by more than 30%. These changes were associated with a decreased capacity for light-saturated, but not light-limited, photosynthesis. Even so, leaves of D. indica grown and measured at elevated pCO2 showed greater light-saturated photosynthetic rates than leaves grown and measured at the current atmospheric pCO2. In situ measurements under natural forest floor lighting showed large increases in leaf photosynthesis at elevated pCO2, relative to controls, in both summer and fall. The increase in efficiency of light-limited photosynthesis with elevated pCO2 allowed positive net photosynthetic carbon uptake on days and at locations on the forest floor that light fluxes were insufficient for positive net photosynthesis in the current atmospheric pCO2.     

Forest Floor Bacterial Community Composition and Catabolic Profiles in Relation to Landscape Features in Québec’s Southern Boreal Forest

Bacterial communities mediate many of the processes in boreal forest floors that determine the functioning of these ecosystems, yet it remains uncertain whether the composition of these communities is distributed nonrandomly across the landscape. In a study performed in the southern boreal mixed wood forest of Québec, Canada, we tested the hypothesis that stand type (spruce/fir, aspen, paper birch), stand age (57, 78–85, and 131 years old), and geologic parent material (clay and till) were correlated with forest floor bacterial community composition. Forest floors in 54 independent forest stands were sampled to comprise a full factorial array of the three predictor variables. Bacterial community structure was examined by terminal restriction fragment (T-RF) length polymorphism analysis of genes encoding for 16S rRNA. Distance-based redundancy analysis of T-RF assemblages revealed that each predictor variable, as well as their interaction terms, had a significant effect on bacterial community composition, geologic parent material being the most discriminating factor. A survey of the 15 T-RFs with the highest percentage fit on the first two ordination axes describing the main effects indicated that each landscape feature correlated to a distinct group of bacteria. A survey of the most discriminant T-RFs describing the effect of stand type within each combination of stand age and geologic parent material indicated a strong dependency of several T-RFs on geologic parent material. Given the possible link between bacterial community composition and forest floor functioning, we also assessed the effects of the same three landscape features on community-level catabolic profiles (CLCP) of the extractable forest floor microbiota. Geologic parent material and stand type had significant effects on CLCPs. On clay plots, the effects of landscape features on T-RF patterns were highly consistent with their effects on CLCPs. In light of our results, we suggest that future research examine whether bacterial community composition or CLCPs can be used to detect latent environmental changes across landscape units.     

Trace Metal Inventories and Lead Isotopic Composition Chronicle a Forest Fire’s Remobilization of Industrial Contaminants Deposited in the Angeles National Forest

The amounts of labile trace metals: [Co] (3 to 11 µg g⁻¹), [Cu] (15 to 69 µg g⁻¹), [Ni] (6 to 15 µg g⁻¹), [Pb] (7 to 42 µg g⁻¹), and [Zn] (65 to 500 µg g⁻¹) in ash collected from the 2012 Williams Fire in Los Angeles, California attest to the role of fires in remobilizing industrial metals deposited in forests. These remobilized trace metals may be dispersed by winds, increasing human exposures, and they may be deposited in water bodies, increasing exposures in aquatic ecosystems. Correlations between the concentrations of these trace metals, normalized to Fe, in ash from the fire suggest that Co, Cu, and Ni in most of those samples were predominantly from natural sources, whereas Pb and Zn were enriched in some ash samples. The predominantly anthropogenic source of excess Pb in the ash was further demonstrated by its isotopic ratios (²⁰⁸Pb/²⁰⁷Pb: ²⁰⁶Pb/²⁰⁷Pb) that fell between those of natural Pb and leaded gasoline sold in California during the previous century. These analyses substantiate current human and environmental health concerns with the pyrogenic remobilization of toxic metals, which are compounded by projections of increases in the intensity and frequency of wildfires associated with climate change.     

Changes in Elephant Abundance Affect Forest Composition or Regeneration?

While overall numbers of African elephant have declined dramatically in recent times, some populations are now confined to protected areas and are locally overabundant—an undesirable situation for both biodiversity conservation and elephants. In forested protected areas, options to manage elephants are limited because it is difficult to safely approach animals, yet it is vital that these populations are managed because browsing by elephants can dramatically alter forest ecosystems. Using data collected over 50 yr in Kibale National Park, Uganda, we examine the prediction that increasing elephant numbers and associated changes in their foraging behavior have caused a shift in tree community composition. Although the relative abundance of elephants increased significantly between 1996 and 2010, the population structure of their preferred tree food species did not change, nor did tree community composition change in favor of species able to re‐sprout after elephant damage. Furthermore, over the last 50 yr Kibale elephants have not become more selective foragers, as would be expected if more nutritious tree species were declining. However, elephants are more abundant in disturbed areas dominated by shrubs and grasses and appear to have arrested forest succession in these areas. At their current abundance, elephants have not selectively altered the composition of intact old growth forest, but they do inhibit the regeneration of disturbed areas.     

Does Forest Scarcity Affect the Collection and Use of Firewood by Rural Communities? A Case Study in the Atlantic Forest of Northeastern Brazil

Many rural communities no longer have abundant forest areas for firewood collection. Based on this scenario, we evaluated how the scarcity of forest environments influences the collection and use of this resource in rural areas. A community located in the Atlantic Forest region of northeastern Brazil, which already lacks forest areas for firewood, was selected for field research. We observed that despite this context of forest scarcity, firewood remains the main source of fuel energy in the community. In total, 27 species of wood were cited, with an emphasis on exotic species in terms of number of citations. The perceived wood quality explained the frequency of plant use, but not the number of consumers. This can be explained by the difficulty of access to some species considered of better quality, because in the studied region, the plants are usually collected in private areas. Efforts in conservation strategies are recommended to encourage an increase in the frequency of use of the available exotic species in order to safeguard the native ones.     

√2 Rule for Controlling the Tree Pattern in Forest Cut

A forest's productivity can be optimized by the application of rules derived from monopolized circles.A monopolized circle is defined as a circle whose center is a tree and whose radius is half of the distance between the tree itself and its nearest neighbor.Three characteristics of monopolized circle are proved.(1) Monopolized circles do not overlay each other,the nearest relationship being tangent.(2)"Full uniform pattern"means that the grid of trees (a×=N) covers the whole plot,so that the distance between each tree in a row is the same as the row spacing.The total monopolized circle area with a full uniform pattern is independent on the number of trees and π/4 times the plot area.(3) If a tree is removed,the area of some trees'monopolized circle will increase without decreasing the monopolized circles of the other trees.According to the above three characteristics,"uniform index"is defined as the total area of monopolized circles in a plot divided by the total area of the monopolized circles,arranged in a uniform pattern in the same shaped plot.According to the definition of monopolized circle,the distribution of uniform index (L) = x2(2n)/2πn for a random pattern and E(L)=1/π;the variance of L is D(L)=1/nπ2.It is evident that E(L) is independent on N and the plot area;hence,L is a relative index.L can be used to compare the uniformity among plots with different areas and the numbers of trees.In a random pattern,where L is equivalent to the tree density of the plot in which the number of trees is 1 and the area is π,the influence of tree number and plot area to L is eliminated.When n→∞,D(L)→0 and L→1/π= 0.318;it indicates that the greater the number of tree is in the plots,the smaller the difference between the uniform indices will be.There are three types of patterns for describing tree distribution (aggregated,random,and uniform patterns).Since the distribution of L in the random pattern is accurately derived,L can be used to test the pattern types.The research on Moarshan showed that the whole plot has an aggregated pattern;the first,third,and sixth parts have an aggregated pattern;and the second,fourth,and fifth parts have a random pattern.None of the uniform indices is more than 0.318 (1/Ⅱ),which indicates that uniform patterns are rare in natural forests.The rules of uniform index can be applied to forest thinning.If you want to increase the value of uniform index,you must increase the total area of monopolized circles,which can be done by removing select trees."Increasing area trees"are the removed trees and can increase the value of the uniform index.A tree is an increasing area tree if the distance between the tree and its second nearest neighbor is √2 times longer than that between the tree itself and its first nearest neighbor,which is called the √2 rule.It was very interesting to find that when six plots were randomly separated from the original plot,the proportion of increasing area trees in each plot was always about 0.5 without exception.In random pattern,the expected proportion of increasing area trees is about 0.35-0.44,which is different from the sampling value of 0.5.The reason is very difficult to explain,and further study is needed.Two criteria can be used to identify which trees should be removed to increase the uniform index during forest thinning.Those trees should be (1) trees whose monopolized circle areas are on the small side and (2) increasing area trees,which are found via the √2 rule.     

Herbaceous Understorey: An Overlooked Player in Forest Landscape Dynamics?

Dense herbaceous understorey layers can impact tree regeneration and thereby affect forest succession. However, the implications of this interaction on large spatial and temporal scales are not well understood. To analyse the role of overstorey–understorey interactions for forest dynamics, we implemented an understorey layer (composed of the plant functional types grasses, forbs, ferns, herbs and shrubs) in the forest landscape model LandClim, focusing on competition for light as the main mode of interaction. The model was used to simulate post-disturbance dynamics over an elevational gradient of 560–2800 m a.s.l. in Central Europe. Simulation results showed strong impacts of the herbaceous understorey on tree regeneration within the first decades, but generally little effect on late-successional forests, i.e. not providing any evidence for ‘arrested’ succession. The results also demonstrated varying overstorey–understorey interactions across the landscape: strongest effects were found at low to mid elevations of the study landscapes, where tree establishment was substantially delayed. At high elevations, tree growth and establishment were more limited by low temperatures, and the effect of light competition from the understorey was negligible. Although the inclusion of large windthrow disturbances increased the biomass of herbaceous understorey across the landscape, this had only a small impact on the overstorey due to the presence of advance regeneration of trees. Overall, our results demonstrate that the herbaceous understorey can have a significant impact for forest landscape dynamics through light competition, and that non-woody plants should not be neglected in forest modelling.     

Does Tropical Forest Fragmentation Increase Long-Term Variability of Butterfly Communities?

Habitat fragmentation is a major driver of biodiversity loss. Yet, the overall effects of fragmentation on biodiversity may be obscured by differences in responses among species. These opposing responses to fragmentation may be manifest in higher variability in species richness and abundance (termed hyperdynamism), and in predictable changes in community composition. We tested whether forest fragmentation causes long-term hyperdynamism in butterfly communities, a taxon that naturally displays large variations in species richness and community composition. Using a dataset from an experimentally fragmented landscape in the central Amazon that spanned 11 years, we evaluated the effect of fragmentation on changes in species richness and community composition through time. Overall, adjusted species richness (adjusted for survey duration) did not differ between fragmented forest and intact forest. However, spatial and temporal variation of adjusted species richness was significantly higher in fragmented forests relative to intact forest. This variation was associated with changes in butterfly community composition, specifically lower proportions of understory shade species and higher proportions of edge species in fragmented forest. Analysis of rarefied species richness, estimated using indices of butterfly abundance, showed no differences between fragmented and intact forest plots in spatial or temporal variation. These results do not contradict the results from adjusted species richness, but rather suggest that higher variability in butterfly adjusted species richness may be explained by changes in butterfly abundance. Combined, these results indicate that butterfly communities in fragmented tropical forests are more variable than in intact forest, and that the natural variability of butterflies was not a buffer against the effects of fragmentation on community dynamics.     

Indigenous Children’s Knowledge About Non-timber Forest Products in Suriname

Childhood and adolescence are important life stages for the acquisition of knowledge about non-timber forest products (NTFPs). We show at which stage in life traditional plant knowledge is learned and analyze whether cross-cultural ethnobotanical knowledge transmission takes place. We evaluate whether the degree of forest dependency influences ethnobotanical knowledge by comparing two indigenous communities in Suriname. Traditional knowledge was documented and vouchers collected during forest walks with adult informants. Questionnaires were completed by 74 schoolchildren (age 4 to 14) to capture their knowledge of names and uses of nine important NTFPs. We tested for knowledge differences by ethnicity and NTFP categories. Local names for NTFPs were analyzed to determine cross-cultural transmission of ethnobotanical knowledge. Children from the forest-dependent Trio community (n?=?23) possessed similar knowledge of NTFPs as their more urbanized peers from Apoera (n?=?51). NTFP uses were acquired at an earlier age than plant names. Food and commercial NTFP uses were better known than medicinal plant uses. Cross-cultural transfer of knowledge occurred between the two communities. NTFP knowledge of children appeared to be influenced more by the time they spent within the forest, either walking to school or walking to agricultural plots, than by the level of forest dependency or acculturation.     

Assessing Double Counting of Carbon Emissions Between Forest Land-Cover Change and Forest Wildfires: A Case Study in the United States, 1992–2006

The relative contributions of double counting of carbon emissions between forest-to-nonforest cover change (FNCC) and forest wildfires are an unknown in estimating net forest carbon exchanges at large scales. This study employed land-cover change maps and forest fire data in the four representative states (Arkansas, California, Minnesota, and Washington) of the US for the period from 1992 to 2006 to evaluate forest carbon double counting effects based on land-cover change map, forest fire data, and USDA Forest Service Forest Inventory and Analysis data. The analyses were conducted at the county level and tallied to state level. Although the effects were small in the two eastern states because of small burned areas and low burn severity, substantial effects were found in the two western states. Carbon double counting was about 10 TgC (teragram 10¹²) in California and 6 TgC in Washington for the period 1992–2006 (at rates of 0.7 and 0.4 TgC per year), or 21.9 and 7.6% relative to total forest carbon emissions through FNCC in the two states, respectively. The effects were 0.2 and 0.1% in Arkansas and Minnesota, respectively. Variation in double counting effects within the states was also much higher in the western states compared with the eastern states. Our results suggested a general pattern that rates and amounts of double counting in forest carbon emissions between FNCC and fires were more evident and substantially different on a west–east dimension than that on a north–south dimension across the conterminous US during the study period.     

Forest and population at Península de Osa,Costa Rica

The research is focused on the relationship between population growth and conservation of the forest on the Osa Peninsula. Data of the geo-referenced censuses and information on land-use, derived from satellite images and aerial photography, were integrated into a GIS. We undertook an historical inventory of the changes in the population and the forest coverage, and the key events in the land tenure and economy of the region. Deforestation, reforestation, and fragmentation of the forest during the period 1980-1995 were analyzed. Relationships with the population potential, derived from the 1984 Costa Rican censuses, were identified, and the effects of third variables were controlled such as distances to the roads, rain, distances to the forest frontier, level of protection, etc. Both strong and significant associations between 1984 population potential and the three processes were detected. The probability of deforestation is null in unpopulated areas, 35% in areas with 25-30 potential farmers and to 65% in areas with 50 farmers and over. The probability of reforestation decreases from 100% to 28% and to 18% in these three categories. This kind of relationship persists in the multivariable analysis. An increase of 0.63% in the number of household, results in an increment of 1% in the risk of deforestation (elasticity). The elasticity in the chances of reforestation is -0.37 and 1% in fragmentation of the forest. An evaluation in the risk of deforestation for the period 1995-2005 was done. The most recent population data were used and it identifies several geographic areas with high deforestation risk.     

基于Global Forest Watch观察2000–2013年间中国森林变化

了解森林的变化,是评价生物多样性变化趋势和制订有效保护行动的基础,也是公共政策及广大公众普遍关心的议题,然而国内一直都没有可供空间分析的森林分布及变化的公开数据。Hansen等于2013年在Global Forest Watch网站上发布了基于Landsat数据的30 m分辨率的全球森林变化数据集,第一次提供给研究者一套高分辨率的公开数据。我们解读了2000–2013年的数据,并与已有的国家森林清查、China Cover、Globe Land30等数据集进行比较。结果表明,Global Forest Watch数据质量可靠,其与Globe Land30数据集的森林分布有较高的空间重合度,后者森林类别的生产者精度为87%,用户精度为89%。在大于20%的树木覆盖度下,估算出2000年森林面积为1,780,472 km2,与同期国家森林清查数据1,749,092 km2相近,解读结果表明2000–2010年间森林减少面积在37,551–42,031 km2之间,而同期其他几套数据显示森林面积增量为2,370–433,810 km2。森林面积年减少量最大值出现在2008年,以该年为拐点,森林每年减少面积的变化趋势在此之前为显著增加,在此之后为显著降低,林地变化最活跃的区域在广西、广东、福建、江西和云南等南方省份。到2013年底,占保护区总面积约60%以上的407个国家级保护区仅覆盖了森林面积的5.03%,对森林保护的面积覆盖有限,保护区对其内部的森林保护有成效,区内森林面积净减1.39%,低于全国平均水平(3.46%),相当于少毁林1,856 km2,但仍有1,200 km2的净减。     

Does Forest Continuity Enhance the Resilience of Trees to Environmental Change?

There is ample evidence that continuously existing forests and afforestations on previously agricultural land differ with regard to ecosystem functions and services such as carbon sequestration, nutrient cycling and biodiversity. However, no studies have so far been conducted on possible long-term (>100 years) impacts on tree growth caused by differences in the ecological continuity of forest stands. In the present study we analysed the variation in tree-ring width of sessile oak (Quercus petraea (Matt.) Liebl.) trees (mean age 115–136 years) due to different land-use histories (continuously existing forests, afforestations both on arable land and on heathland). We also analysed the relation of growth patterns to soil nutrient stores and to climatic parameters (temperature, precipitation). Tree rings formed between 1896 and 2005 were widest in trees afforested on arable land. This can be attributed to higher nitrogen and phosphorous availability and indicates that former fertilisation may continue to affect the nutritional status of forest soils for more than one century after those activities have ceased. Moreover, these trees responded more strongly to environmental changes – as shown by a higher mean sensitivity of the tree-ring widths – than trees of continuously existing forests. However, the impact of climatic parameters on the variability in tree-ring width was generally small, but trees on former arable land showed the highest susceptibility to annually changing climatic conditions. We assume that incompletely developed humus horizons as well as differences in the edaphon are responsible for the more sensitive response of oak trees of recent forests (former arable land and former heathland) to variation in environmental conditions. We conclude that forests characterised by a long ecological continuity may be better adapted to global change than recent forest ecosystems.