Baselines for land-use change in the tropics: application to avoided deforestation projects

Although forest conservation activities, particularly in the tropics, offer significant potential for mitigating carbon (C) emissions, these types of activities have faced obstacles in the policy arena caused by the difficulty in determining key elements of the project cycle, particularly the baseline. A baseline for forest conservation has two main components: the projected land-use change and the corresponding carbon stocks in applicable pools in vegetation and soil, with land-use change being the most difficult to address analytically. In this paper we focus on developing and comparing three models, ranging from relatively simple extrapolations of past trends in land use based on simple drivers such as population growth to more complex extrapolations of past trends using spatially explicit models of land-use change driven by biophysical and socioeconomic factors. The three models used for making baseline projections of tropical deforestation at the regional scale are: the Forest Area Change (FAC) model, the Land Use and Carbon Sequestration (LUCS) model, and the Geographical Modeling (GEOMOD) model. The models were used to project deforestation in six tropical regions that featured different ecological and socioeconomic conditions, population dynamics, and uses of the land: (1) northern Belize; (2) Santa Cruz State, Bolivia; (3) Paraná State, Brazil; (4) Campeche, Mexico; (5) Chiapas, Mexico; and (6) Michoacán, Mexico. A comparison of all model outputs across all six regions shows that each model produced quite different deforestation baselines. In general, the simplest FAC model, applied at the national administrative-unit scale, projected the highest amount of forest loss (four out of six regions) and the LUCS model the least amount of loss (four out of five regions). Based on simulations of GEOMOD, we found that readily observable physical and biological factors as well as distance to areas of past disturbance were each about twice as important as either sociological/demographic or economic/infrastructure factors (less observable) in explaining empirical land-use patterns. We propose from the lessons learned, a methodology comprised of three main steps and six tasks can be used to begin developing credible baselines. We also propose that the baselines be projected over a 10-year period because, although projections beyond 10 years are feasible, they are likely to be unrealistic for policy purposes. In the first step, an historic land-use change and deforestation estimate is made by determining the analytic domain (size of the region relative to the size of proposed project), obtaining historic data, analyzing candidate baseline drivers, and identifying three to four major drivers. In the second step, a baseline of where deforestation is likely to occur–a potential land-use change (PLUC) map—is produced using a spatial model such as GEOMOD that uses the key drivers from step one. Then rates of deforestation are projected over a 10-year baseline period based on one of the three models. Using the PLUC maps, projected rates of deforestation, and carbon stock estimates, baseline projections are developed that can be used for project GHG accounting and crediting purposes: The final step proposes that, at agreed interval (e.g., about 10 years), the baseline assumptions about baseline drivers be re-assessed. This step reviews the viability of the 10-year baseline in light of changes in one or more key baseline drivers (e.g., new roads, new communities, new protected area, etc.). The potential land-use change map and estimates of rates of deforestation could be re-done at the agreed interval, allowing the deforestation rates and changes in spatial drivers to be incorporated into a defense of the existing baseline, or the derivation of a new baseline projection.     

土地利用/覆被变化的水文效应研究进展

随着社会的不断进步和人口的迅速膨胀,土地利用/覆被变化对水文过程产生了重大影响,其研究已经成为国际热点问题和前沿领域。论文首先分析了LUCC水文效应的研究方法,然后从土地利用/覆被变化的驱动力方面:造林与毁林、城市化过程与农业开发活动以及水土保持等,概述了LUCC水文效应的研究进展。综合分析表明:关于城市化过程的水文影响研究,一般认为,在城市化快速发展的驱动下,不透水面积大量增加,改变了水量平衡状况,造成入渗减少,洪峰流量增大,但不同地区城市化发展程度的不同使得水文效应的表现也不相同;水土保持水文效应的研究一般认为,水土保持通过植树造林、种草、修建梯田、淤地坝等措施,使得区域/流域下垫面覆盖状况发生了很大的改变,造成年径流和洪峰流量减少,而使入渗和枯季径流增加,但因地理位置和气象条件等方面的差异,不同地区水土保持产生的水文影响也有所差别;造林与毁林、农业开发活动对水文过程的影响则因研究尺度、区域位置、气象条件、研究对象等因素的影响出现了较大的差异。因此,需考虑多方面因素的影响,正确评价土地利用/覆被变化的水文效应,为水土资源的合理配置和可持续利用提供科学依据。     

A `forest' by any other name…

The Kyoto protocol to the United Nations Framework Convention on Climate Change asks countries to report and provide data on human-induced land use change and forestry activities limited to afforestation, reforestation and deforestation. The terms `afforestation, reforestation and deforestation' have different meanings — country-to-country and from practicing foresters to the general public. The USDA Forest Service and the International Union of Forestry Research Organizations' Working Unit 6.03.02 on Trends in Forest Terminology commissioned a study to be undertaken to gain a better understanding of the terms in use. This study concentrates on the terms deforestation, afforestation and reforestation, but it also examined related terms of land use, land cover, forest, tree, regeneration and degradation. The paper reports on the results of that study and makes some general recommendations for consideration by the Conference of the parties to the United Nations Framework Convention on Climate Change (UNFCCC) for standardization of key terms.     

How much deforestation do protected areas avoid in tropical Andean landscapes?

For many decades, protected areas (PAs) have been considered by decision makers and conservation practitioners as one of the most common policies to promote biodiversity conservation. Diverse studies have assessed the impact of conservation policies at global and regional levels by comparing deforestation rates between PAs and unprotected areas. Most of these studies are based on conventional methods and could overestimate the avoided deforestation of PAs by omitting from their analyses the lack of randomness in the allocation of forest protection.We demonstrate that estimates of effectiveness can be substantially improved by controlling for biases along dimensions that are observable and testing the sensitivity of estimates of potential hidden biases. We used matching methods to evaluate the impact on deforestation of Ecuador's tropical Andean forest protected-area system between 1990 and 2008. We found that protection reduced deforestation in approximately 6% of the protected forests. These would have been deforested had they not been protected. Conventional approaches to estimate conservation impact, which fail to control for observable covariates correlated with both protection and deforestation, substantially overestimate avoided deforestation. Our conclusions are robust to potential hidden bias, as well as to changes in modeling assumptions. In addition, it is assumed that this research will help decision-making in the framework of international climate change mitigation policies, such as REDD+.     

REDD+ and international leakage via food and timber markets: a CGE analysis

This paper studies the effect of international trade in food and timber on land use and potential carbon leakage in the context of actions to reduce emissions from deforestation and forest degradation (REDD+). First a simple analytical model of international leakage is presented that focuses on international competition between firms that produce food and timber. A formula for the leakage rate in the model is derived. The results of the analytical model are then tested with a large Computable General Equilibrium (CGE) model and it is verified that the qualitative results from the analytical model hold. Finally, a scenario of leakage rate trajectories is presented for a number of key tropical forest regions for the next two decades and a sensitivity analysis is performed on key parameters. Computed leakage rates range between 0.5 % for Brazil and 11.3 % for Malaysia and are fairly stable over the projection period. Leakage rates increase with a higher supply elasticity of land and a higher trade elasticity, they decrease with a higher elasticity of input substitution in production and appear to be independent of the rates of forest conservation and absolute prices of food and timber.     

Heterogeneity of experts’ opinion regarding opportunities and challenges of tackling deforestation in the tropics: a Q methodology application

Making the concept of Reducing Emissions from Deforestation and Degradation (REDD+) ready to be a mechanism to combat tropical deforestation and associated greenhouse gas (GHG) emissions by compensating developing countries for income foregone in reducing their rates of deforestation, requires solutions for outstanding controversies. Existing opinions on REDD+ vary greatly. By using the Q-method as part of an action research approach, this paper investigates experts’ attitudes towards REDD+. Based on their responses to 41 statements, four attitudinal groups were identified, characterized as pragmatists, sceptics, conventionalists and optimists. Opinions between groups differed as to the level of application, credibility, eligibility, economic effectiveness, and public acceptability of REDD+ policy instruments. Three of the four groups were supportive of international REDD+ type policy interventions, but there was disagreement on the more concrete design issues of REDD+ projects, such as the allocation of responsibilities, the distribution of burdens and benefits, and whether or not co-benefits could be expected, or should be required. As the potential of REDD+ is shaped not only by international climate policy but also by national and regional policies and stakeholder perceptions, this paper suggests that participatory forms of decision-making may help to develop tailor-made solutions that are supported by the many different actors that are necessarily involved in REDD+ projects.     

Monitoring Needs to Transform Amazonian Forest Maintenance Into a Global Warming-Mitigation Option

Two approaches are frequently mentioned in proposals to use tropical forest maintenance as a carbon offset. One is to set up, specific reserves, funding the establishment, demarcation, and guarding of these units. Monitoring, in this case, consists of the relatively straightforward process of confirming that the forest stands in question continue to exist. In Amazonia, where large expanses of tropical forest still exist, the reserve approach has the logical weakness of being completely open to “leakage”: with the implantation of any given reserve, the people who would have been deforesting in the reserve area will probably continue to clear the same amount of forest somewhere else in the region. The second approach is through policy changes aimed at reducing the rate of clearing, but not limited to specific reserves or areas of forest. This second approach addresses more fundamental aspects of the tropical deforestation problem, but has the disadvantages of not assuring the permance of forest and of not resulting in a visible product that can be convincingly credited, to the existence of the project. In order for credit to be assigned to policy change projects, functioning models of the deforestation process must be developed that are capable of producing seenarios with and without different policy changes. This requires understanding the process of deforestation, which depends on monitoring in order to have information as a time series. Information is needed both from satellite imagery and from on-the-ground observations on who occupies the land and why the observed changes occur. Monitoring must be done by individual property if causal factors are to be identified reliably; this is best achieved using a database in a Geographical, Information System (GIS) that includes property boundaries. Once policy changes are made in practice, not only deforestation but also the policies themselves must be monitored. Deerees and laws are not the same as changes in practice; the initiation and continued application of changes must therefore be confirmed regularly. The value of carbon benefits from Amazonia depends directly on the credibility and transparency of monitoring. The great potential value of carbon maintenance in Amazonia should provide ample reason for Amazonian countries to strengthen and increase the transparency of their monitoring efforts.     

Benefits of tropical forest management under the new climate change agreement—a case study in Cambodia

Promoting sustainable forest management as part of the reduced emissions from deforestation and degradation in developing countries (REDD)-plus mechanism in the Copenhagen Accord of December 2009 implies that tropical forests will no longer be ignored in the new climate change agreement. As new financial incentives are pledged, costs and revenues on a 1-ha tract of tropical forestland being managed or cleared for other land use options need to be assessed so that appropriate compensation measures can be proposed. Cambodia's highly stocked evergreen forest, which has experienced rapid degradation and deforestation, will be the first priority forest to be managed if financial incentives through a carbon payment scheme are available. By analyzing forest inventory data, we assessed the revenues and costs for managing a hypothetical 1 ha of forestland against six land use options: business-as-usual timber harvesting (BAU-timber), forest management under the REDD-plus mechanism, forest-to-teak plantation, forest-to-acacia plantation, forest-to-rubber plantation, and forest-to-oil palm plantation. We determined annual equivalent values for each option, and the BAU-timber and REDD-plus management options were the highest, with both options influenced by logging costs and timber price. Financial incentives should be provided at a level that would allow continuation of sustainable logging and be attractive to REDD-plus project developers.     

Estimating baseline carbon emissions for the Eastern Panama Canal watershed

To participate in the potential market for carbon credits based on changes in the use and management of the land, one needs to identify opportunities and implement land-use based emissions reductions or sequestration projects. A key requirement of land-based carbon (C) projects is that any activity developed for generating C benefits must be additional to business-as-usual. A rule-based model was developed and used that estimates changes in land-use and subsequent carbon emissions over the next twenty years using the Eastern Panama Canal Watershed (EPCW) as a case study. These projections of changes in C stocks serve as a baseline to identify where opportunities exist for implementing projects to generate potential C credits and to position Panama to be able to participate in the emerging C market by developing a baseline under scenarios of business-as-usual and new-road development. The projections show that the highest percent change in land use for the new-road scenario compared to the business-as-usual scenario is for urban areas, and the greatest cause of C emission is from deforestation. Thus, the most effective way to reduce C emissions to the atmosphere in the EPCW is by reducing deforestation. In addition to affecting C emissions, reducing deforestation would also protect the soil and water resources of the EPCW. Yet, under the current framework of the Clean Development Mechanism (CDM), only credits arising from reforestation are allowed, which after 20 years of plantation establishment are not enough to offset the C emissions from the ongoing, albeit small, rate of deforestation in the EPCW. The study demonstrates the value of spatial regional projections of changes in land cover and C stocks: The approach helps a country identify its potential greenhouse gas (GHG) emission liabilities into the future and provides opportunity for the country to plan alternative development pathways. It could be used by potential project developers to identify which types of projects will generate the largest C benefits and provide the needed baseline against which a project is then evaluated. Spatial baselines, such as those presented here, can be used by governments to help identify development goals. The development of such a baseline, and its expansion to other vulnerable areas, well positions Panama to respond to the future market demand for C offsets. It is useful to compare the projected change in land cover under the business-as-usual scenario to the goals set by Law 21 for the year 2020. Suggested next steps for analysis includeusing the modeling approach to exploreland-use, C dynamics and management ofsecondary forests and plantations, soilC gains or losses, sources ofvariability in the land use and Cstock projections, and other ecologicalimplications and feedbacks resulting fromprojected changes in land cover.     

Tropical deforestation in a future international climate policy regime—lessons from the Brazilian Amazon

The possibility of adopting national targets for carbon dioxide (CO₂) emissions from tropical deforestation in a future international climate treaty has received increasing attention recently. This attention has been prompted by proposals to this end and more intensified talks on possible commitments for developing countries beyond the United Nations Framework Convention on Climate Change Kyoto Protocol. We analyze four main scientific and political challenges associated with national targets for emissions from tropical deforestation: (1) reducing the uncertainties in emission inventories, (2) preserving the environmental integrity of the treaty, (3) promoting political acceptance and participation in the regime, and (4) providing economic incentives for reduced deforestation. We draw the following conclusions. (1) Although there are large uncertainties in carbon flux from deforestation, these are in the same range as for other emissions included in the current Kyoto protocol (i.e., non-CO₂ GHGs), and they can be reduced. However, for forest degradation processes the uncertainties are larger. A large challenge lies in building competence and institutions for monitoring the full spectrum of land use changes in developing countries. (2 and 3) Setting targets for deforestation is difficult, and uncertainties in future emissions imply a risk of creating ‘tropical hot air’. However, there are proposals that may sufficiently deal with this, and these proposals may also have the advantage of making the targets more attractive, politically speaking. Moreover, we conclude that while a full carbon accounting system will likely be politically unacceptable for tropical countries, the current carbon accounting system should be broadened to include forest degradation in order to safeguard environmental integrity. (4) Doubts can be cast over the possible effect a climate regime alone will have on deforestation rates, though little thorough analysis of this issue has been made.

Land Use,Land-Use Change,Forestry, and Agricultural Activities in the Clean Development Mechanism: Estimates of Greenhouse Gas Offset Potential

Activities involving land use, land-use change,forestry, and agriculture (LUCF) can help reducegreenhouse gas (GHG) concentrations in the atmosphereby increasing biotic carbon storage, by decreasing GHGemissions, and by producing biomass as a substitutefor fossil fuels. Potential activities includereducing rates of deforestation, increasing landdevoted to forest plantations, regenerating secondaryforest, agroforestry, improving the management offorests and agricultural areas; and producing energycrops.Policymakers debating the inclusion of a variety ofLUCF activities in the Clean Development Mechanism(CDM) of the Kyoto Protocol need to consider themagnitude of the carbon contribution these activitiescould make. Existing estimates of the cumulative GHGoffset potential of LUCF activities often take aglobal or regional approach. In contrast, land-usedecisions are usually made at the local level anddepend on many factors including productive capacityof the land, financial considerations of thelandowner, and environmental concerns. Estimates ofGHG offset potential made at a local, or at mostcountry, level that incorporate these factors may belower, as well as more useful for policy analyses,than global or large regional estimates. Whilecountry-level estimates exist for forestry activities,similar estimates utilizing local information need tobe generated for agricultural activities and biofuels,as well as for the cumulative potential of all LUCFactivities in a particular location.     

Implementing REDD+ (Reducing Emissions from Deforestation and Degradation): evidence on governance,evaluation and impacts from the REDD-ALERT project

The REDD-ALERT (Reducing Emissions from Deforestation and Degradation from Alternative Land Uses in the Rainforests of the Tropics) project started in 2009 and finished in 2012, and had the aim of evaluating mechanisms that translate international-level agreements into instruments that would help change the behaviour of land users while minimising adverse repercussions on their livelihoods. Findings showed that some developing tropical countries have recently been through a forest transition, thus shifting from declining to expanding forests at a national scale. However, in most of these (e.g. Vietnam), a significant part of the recent increase in national forest cover is associated with an increase in importation of food and timber products from abroad, representing leakage of carbon stocks across international borders. Avoiding deforestation and restoring forests will require a mixture of regulatory approaches, emerging market-based instruments, suasive options, and hybrid management measures. Policy analysis and modelling work showed the high degree of complexity at local levels and highlighted the need to take this heterogeneity into account—it is unlikely that there will be a one size fits all approach to make Reducing Emissions from Deforestation and Degradation (REDD+) work. Significant progress was made in the quantification of carbon and greenhouse gas (GHG) fluxes following land-use change in the tropics, contributing to narrower confidence intervals on peat-based emissions and their reporting standards. There are indications that there is only a short and relatively small window of opportunity of making REDD+ work—these included the fact that forest-related emissions as a fraction of total global GHG emissions have been decreasing over time due to the increase in fossil fuel emissions, and that the cost efficiency of REDD+ may be much less than originally thought due to the need to factor in safeguard costs, transaction costs and monitoring costs. Nevertheless, REDD+ has raised global awareness of the world’s forests and the factors affecting them, and future developments should contribute to the emergence of new landscape-based approaches to protecting a wider range of ecosystem services.     

Spatial and temporal analysis of vegetation change in agricultural landscapes: A case study of two brigalow (Acacia harpophylla) landscapes in Queensland, Australia

The majority of landscapes around the world have been modified or transformed by human activities to meet the needs of human societies. The loss of native vegetation for agricultural development affects the sustainability of growing proportion of the world's ecosystems. Factors such as land tenure, roads and agricultural intensification, together with biophysical properties, have been cited as drivers of deforestation. This paper combined analysis of the historical drivers of change with analysis of the trends of deforestation since 1945 in two brigalow landscapes (100,000 ha) in sub-tropical Australia. A selection of these drivers were then applied at a property-level (1000 ha) to test their influence on native vegetation retention. Regression trees were used to identify significant human drivers and biophysical properties, and then a generalised linear modelling approach was used to quantify the effect of these factors on the proportion of remnant native vegetation. Results showed that until the mid-20th century, government policies to intensify settlement did not result in increased agricultural production, but since this time, landscape change has been rapid, and has particularly affected ecosystems on fertile clay soils. Although socio-economic factors were critical in driving deforestation, after 60 years of agricultural intensification by far the most significant explanatory variable determining the proportion of native vegetation retained at a property scale was the suitability of the soil for agriculture. Property size was an important secondary influence. The results were not, by and large, consistent with other studies of landscape change and suggest that generalised principles explaining deforestation may be elusive. Solutions to the problem of over-clearance of native vegetation, therefore, need to be tailored to the specific regional situations encountered.     

Estimation of biomass distribution in Peninsular Malaysia and in the islands of Sumatra, Java and Borneo based on multi-resolution remote sensing land cover analysis

In this study we used high resolution (20 m) land cover maps to derive detailed information on land cover structure within the classes of a regional medium resolution (500 m) land cover map. This enabled improved biomass estimation for the medium resolution land cover classes. Although our results suggested that land cover maps based merely on medium resolution remote sensing data can be used to monitor the extent of forest cover, they also showed that these maps alone are not sufficient to produce reliable regional estimates on above ground biomass in insular Southeast Asia. A quarter of the study area was covered by sub-pixel size (500 m) mosaic of various land cover types containing 14% of biomass. In total, non-forest areas covered over 60% of the study area and included 43% of biomass. In these areas, highly fragmented within class land cover structure was shown to significantly affect biomass estimates. Therefore we conclude that forest/land cover monitoring based merely on medium resolution remote sensing data can no longer be used to sufficiently quantify carbon fluxes connected to land cover changes in insular Southeast Asia, but multi-resolution approaches are needed to perform this task.     

Quantifying the impacts of the quality of governance on deforestation

The quality of governance is known to have effects on deforestation, together with other social and economic factors. However, assessing the impact of governance quality is a challenging task due to the complex and diverse mechanisms of deforestation as well as limited data availability. In this paper, interrelations between governance quality and deforestation rates are analysed on a global scale, using national data on governance quality and deforestation. Results indicate an increase in governance quality tends to be associated with a decrease in deforestation rates (i.e., a lower level of deforestation). The paper then discusses the limitations of the quantitative assessment, including data issues.     

Land cover change and landscape fragmentation—comparing the utility of continuous and discrete analyses for a western Honduras region

Current studies of land cover change and landscape fragmentation rely predominantly on land cover classifications derived from remotely sensed images. However, limitations of traditional land cover classifications are numerous and well known. This research compares classification-based techniques (discrete data) to the use of vegetation indices (continuous data) for land cover modeling and analyses of landscape fragmentation for a study area in western Honduras. The study area typifies many regions of tropical developing countries, where a complex interaction of social and environmental factors have given rise to a dynamic mosaic of patches of reforestation and deforestation. Understanding the complex human dimensions of land use and land cover change in these parts of the world continues to present a challenge for researchers.The land cover modeling analysis compares two models using different formulations for the dependent variable: (i) a continuous analysis using a tobit model regressing the normalized difference vegetation index (NDVI), with non-forest values truncated at 0, on the variables elevation, slope, distance from roads and distance from the nearest market; and (ii) a discrete analysis using a probit model with threshold NDVI coverages (representing forest and non-forest). To examine the patterns of landscape fragmentation, a discrete analysis of a forest/non-forest classification using the software FRAGSTATS is compared to a continuous NDVI-based analysis using the local indicator of spatial association (LISA) statistic. Estimated marginal effects and overall predictive power are compared across the tobit and probit formulations. Because the tobit formulation included variation in the dependent variable for forested areas, greater information was retained regarding the subtle relationships among the independent variables and land cover. The LISA statistic, using the NDVI coverages as input, were helpful in the interpretation of the data and its spatial arrangement in the landscape, indicating that the LISA was a good complement to the FRAGSTATS, classification-based analysis. Given the LISA statistic is parametric and hence subject to outliers, whereas landscape metrics tend to be non-parametric, we found that the use of both FRAGSTATS and LISA together was more beneficial than either analysis by itself. While there is increasing awareness of the need for using continuous data for land cover modeling and fragmentation, this area remains little explored. The research presented provides insights for additional future applications utilizing continuous data analyses.     

Socioeconomic changes and environmental policies as dimensions of regional land transitions in the Atlantic Forest,Brazil

The industrialization of the Paraíba Valley, Brazil has been driven since the 1950s by an intense urbanization process, while municipalities located far from the valley's economic center stagnated. Despite the economic differences and unequal population distribution in the region, the municipalities share similar topographic characteristics with a predominance of hilly terrains. The depletion of the soils' productive capacity after numerous land use cycles without adequate management practices was a common cause of land use abandonment. This research analyzes land use/cover data, environmental policies, census-based data, and interviews with stakeholders, to understand the factors that account for a forest transition in the Paraíba Valley where gains in forest cover more than offset any remaining deforestation. Local conditions, such as topography, land use history, environmental policies, engagement of society in complying with legal regulations, commodity markets, and the action of enforcement agencies, represent dimensions which, combined, have boosted forest transitions.     

土地利用/覆盖变化与气候变化定量关系研究进展

当前,以全球变暖为主要特征的气候变化对人类社会的可持续发展构成了严重威胁,如何有效适应气候变化成为人类面临的共同挑战。研究表明,全球变暖的主要驱动力是人类活动造成的温室气体排放和土地利用方式改变。过去,科学界致力于削减全球温室气体排放,而土地利用与气候变化的关系,以及如何适应气候变化,没有引起足够重视。论文重点阐述土地利用/覆盖变化对区域气候的生物地球物理影响机制,总结土地利用/覆盖与气候变化定量关系的研究进展,得出现阶段研究存在四点不足:①缺乏景观格局与气候过程关系的认识;②较少考虑人类活动对下垫面的影响;③区域气候模式存在局限;④适应气候变化的研究不足。针对上述问题,论文指出基于可持续性的土地系统设计是适应气候变化的有效途径,也是未来气候变化领域的研究重点。     

1975—2005年中亚土地利用/覆被变化对森林生态系统碳储量的影响

土地利用/覆被变化(LUCC)对碳循环的影响研究已覆盖全球绝大多数地区,但中亚LUCC对森林生态系统碳库的影响仍属未知。论文以人工林面积、森林产品收获产量及林地转移面积为基础数据,应用Bookkeeping模型,分析了1975—2005年期间三种LUCC方式对中亚森林碳库的影响。近30 a LUCC对其碳库的影响总体表现为碳汇,固碳量为3.07 Tg。植树造林表现出强烈的碳汇功能,总固碳量为12.97 Tg。森林采伐是最主要的碳释放来源,共释放碳5.80 Tg。林地转移呈现较强的碳释放特征,共排放为4.10 Tg。结果表明1975—2005年该区域LUCC对森林碳库具有明显的增汇效应。研究结果将有利于减少LUCC对全球碳收支影响的不确定性。     

Spatial and temporal land use and carbon stock changes in Uganda: implications for a future REDD strategy

Using a map overlay procedure in a Geographical Information System environment, we quantify and map major land use and land cover (LULC) change patterns in Uganda period 1990–2005 and determine whether the transitions were random or systematic. The analysis reveals that the most dominant systematic land use change processes were deforestation (woodland to subsistence farmland—3.32%); forest degradation (woodland to bushland (4.01%) and grassland (4.08%) and bush/grassland conversion to cropland (5.5%) all resulting in a net reduction in forests (6.1%). Applying an inductive approach based on logistic regression and trend analyses of observed changes we analyzed key drivers of LULC change. Significant predictors of forest land use change included protection status, market access, poverty, slope, soil quality and presence/absence of a stream network. Market access, poverty and population all decreased the log odds of retaining forests. In addition, poverty also increased the likelihood of degradation. An increase in slope decreased the likelihood of deforestation. Using the stock change and gain/loss approaches we estimated the change in forest carbon stocks and emissions from deforestation and forest degradation. Results indicate a negligible increase in forest carbon stocks (3,260 t C yr-1) in the period 1990–2005 when compared to the emissions due to deforestation and forest degradation (2.67 million t C yr-1). In light of the dominant forest land use change patterns, the drivers and change in carbon stocks, we discuss options which could be pursued to implement a future national REDD plus strategy which considers livelihood, biodiversity and climate change mitigation objectives.