From Field Data to Ecosystem Services Maps: Using Regressions for the Case of Deforested Areas Within the Amazon

Quantifying and mapping ecosystem services (ES) is seen as one way to improve decision making and land management to better integrate environmental issues. This study aimed to characterize ES supply in deforestation context where an improvement of scientific knowledge should help develop more efficient environmental management. For three case studies in the Brazilian Amazon impacted by deforestation, seven indicators of potential ES supply were mapped at a spatial resolution of 30 × 30 m: biodiversity index (indicator of food web support); richness of pollinators (pollination); index of soil chemical quality (support to production); water available for plants (water regulation); soil carbon stocks (support to production and climate regulation); rate of water infiltration into the soil (soil erosion control); and vegetation carbon stocks (climate regulation). To map these indicators, in situ measurements of ES for 135 sampling points and remote sensing data were linked using regression methods. These methods were used to predict ES values and identify environmental factors that influence ES supply. The resulting maps help in understanding the influence of environmental factors on ES spatial distribution within the sites. The analyses illustrate the influence of land-use changes on ES supply and the role of context effects due to the heterogeneity of the biophysical environment, the temporality of deforestation and/or their diversified sociopolitical contexts. From a methodological viewpoint, the study highlights the importance of choices inherent in all cartographic practices and that need to be considered, especially in the context of rendering ES maps operational.     

National ecosystem services mapping at multiple scales ⿿ The German exemplar

The EU Biodiversity Strategy 2020 requires the Member States of the European Union to map and assess ecosystem services. This paper presents a procedure for developing a national framework of ecosystem service indicators for Germany that is applicable at different scales and is transferable to other countries. The framework was set up to use existing indicators or datasets and to be compatible with international typologies of ecosystem services and their indicators. Starting with an evaluation of the importance of different ecosystem services for Germany and an analysis of existing monitoring systems, we define suitable indicators for mapping ecosystem services nationwide. We demonstrate how both the supply of and demand for ecosystem services can be mapped with different indicators and datasets and how these indicators have to be adapted for use at different scales. Subsequently, we analyze the resulting maps to draw conclusions about the suitability of the different indicators and their complementarity. Furthermore, we show synergies and trade-offs between ecosystem services in Germany and discuss the applicability of the ecosystem services concept for decision making and spatial planning.     

Social mapping of perceived ecosystem services supply – The role of social landscape metrics and social hotspots for integrated ecosystem services assessment,landscape planning and management

This paper contributes to the discussion on integrating societal considerations, stakeholders' perceptions and laymen knowledge into ecosystem services (ES) assessments. The paper illustrates how social mapping of perceived ES supply (or alternatively demand) can contribute to integrated ES assessment. Based on sketched locations of the, according to 38 respondents, most important ES at the local scale, we describe the perceived ES distribution with social landscape metrics (abundance, diversity, richness, risk, rarity) based on traditional landscape ecology indicators. We illustrate how social landscape metrics can inform ES management and planning and describe how synergies between ES as stated by the respondents differ from calculated synergies (the latter based on correlation coefficients between perceived ES abundance). We present indicators pointing to locations where (multiple) ES synergies are perceived by stakeholders (stated synergy index), and to conflicting ES and ES perceived to be at risk (risk index). Overlapping social ES hotspots based on the social landscape metrics with ES hotspots based on more traditional biophysical modelling (biophysical hotspots) and ecological inventories (ecological hotspots) results in social–ecological or social–biophysical hotspots, coldspots and warmspots relevant for nature and landscape planning, management and governance. Based on an analysis of the overlaps between social, biophysical and ecological hotspots on the one hand, and the contribution of ecological quality, land zoning categories and conservation statuses on the other hand, we discuss the added value of integrating social ES mapping in integrated ES assessment, above ES assessments based on biophysical or ecological attributes. Given the limited overlap between social hotspots and ecological or biophysical hotspots, we conclude that integrating stakeholders' mapping of perceived ES supply (or demand) into ES assessments is necessary to reflect the societal aspects of ES in ES assessments. However, with a limited sample of respondents, there is a risk of collectivisation of respondents' viewpoints as a common, societal stance. Moreover, the social landscape metrics are not suitable for describing the distribution of ES with low perceived abundance. Finally, we explain how social ES assessment can result in mainstreaming ES in planning, policy and practice.     

生物多样性与生态系统服务——关系、权衡与管理

生物多样性和生态系统服务是人类生存和社会经济可持续发展的物质基础,应对生物多样性丧失和生态系统服务退化问题已经成为继气候变化之后的又一个全球性环境热点问题。生物多样性是生态系统生产力、稳定性、抵抗生物入侵以及养分动态的主要决定因素,生物多样性越高,生态系统功能性状的范围越广,生态系统服务质量就越高越稳定。目的是探讨生物多样性和生态系统服务之间的关系:(1)明确了生物多样性与生态系统过程、功能、服务之间的关系;(2)生物多样性在生态系统服务中的角色:生物多样性在不同的空间尺度通过各种形式的运行机制与生态系统服务产生联系,生物多样性是生态系统过程的调节者,是巩固生态系统服务的一个重要因素,生物多样性也是一种终极的生态系统服务,并在遗传和物种水平上直接贡献了其利益和价值;(3)生物多样性与生态系统服务权衡和协同关系的研究可以更好的帮助管理人员做出有利的决策和保护工作,也是制定规划和适应策略以减少生物多样性危机带来的不利影响的基础;(4)生物多样性与生态系统服务的关系在不同的时间和空间尺度上是不恒定的,有必要共同确定生态系统服务和生物多样性的空间格局,以有效和可持续的进行生态系统管理;(5)虽然生物多样性保护和生态系统管理还存在许多不确定性,但相关理论应该在管理、保护和恢复生态系统中发挥重要作用。研究提出了进一步研究的领域,以促进生物多样性保护和生态系统服务提供之间的协同作用。希望对相关领域的研究有所帮助。     

Assessment of ecosystem services at the national level in Germany—Illustration of the concept and the development of indicators by way of the example wood provision

The EU Biodiversity Strategy stipulates in Target 2, Action 5 that the member states must map and assess the state of the ecosystems and their services and promote the integration into the reporting systems at the EU and national level by 2020. Therefore indicators for capturing and assessing ecosystem services (ES) are needed. In this paper we report for which ES class types currently ES indicators are being developed for Germany in the context of an ongoing research project. Additionally, we provide the indicator specifications, which are based on underlying framework concept. By way of the example of the provisioning service ‘raw wood production’ and the development of the main-indicator ‘annual wood accrual’ and six sub-indicators, we illustrate the concrete procedure, including discussion of results and target values. The indicators for the ES wood provision are not only suitable for an exemplary illustration of procedure, data selection and data basis in Germany. Furthermore, it shows that indicators for provisioning ES can eminently conflict with biodiversity and other ES.     

融入植被结构因子的生态单元制图法在城市生物多样性信息采集中的应用

以前所使用的生态单元制图模型中没有涉及植被时间和空间结构因子,然而一些研究结果显示植被的时空结构对于生物多样性有着重要的影响。因此,设计一个融入植被结构因子的改良城市生态单元制图模型,并且将其应用于瑞典赫尔辛堡市的绿色空间个案研究中,以期能够获得有关生物多样性方面的信息。这个改良的制图方法基于一个生态单元分类系统,此分类系统融入了4个植被结构因子,分别是:植被覆盖的连续性因子、优势乔木种的年龄因子、横向结构因子以及竖向结构因子。公共绿色空间信息的采集借助于全彩色航空照片的分析以及实地调查,生态单元图谱的绘制基于各个层级的生态单元分类重点。通过使用原生林地指示种或林地连续性指示种(AWIS)鉴定林地的连续性以及观测不同的植被结构下动物的分布情况得出,一些含有AWIS的生态单元是长连续性的林地,并且其含有较高的或潜在高的生物多样性;同时,植被的横向和竖向结构以及树木的年龄结构影响着鸟类和哺乳动物的分布、丰富度和多样性。得出融入植被时空结构的生态单元制图法是一个重要的调查城市生物多样性的方法,图谱能够显示出各个生态单元含有生物多样性价值的信息,基于此可以对今后的城市生物多样性保护和提高提出相应的策略。     

Towards indicators of butterfly biodiversity based on a multiscale landscape description

The conservation of biodiversity has gained prominence in ecological research for the last decades. Conservation actions require a measure of biodiversity such as species richness, but its assessment is very difficult, even for small areas and therefore the search for surrogates (i.e. indicators) of biodiversity has emerged as an active research topic. We investigated the relationships between butterfly species richness and landscape structure and composition in two pine plantation sites in Southwest France. We assessed the correlation between butterfly species richness and a set of 15 landscape metrics computed for 18 land-uses at 10 different spatial scales. Spatial scales were accounted for by computing landscape metrics for circular buffers with radius ranging from 100 to 1000 m. The joint use of the Partial Least Squares Regression (PLSR) and a stepwise regression procedure revealed strong correlations between butterfly species richness and various landscape metrics in both study sites. The selected landscape metrics differed from one site to another and mostly involved measures of landscape fragmentation. We found a very strong effect of the spatial scale of investigation upon the perception of the landscape–butterfly richness relationship. Our main conclusions are that (i) certain landscape attributes can potentially serve as indicators for butterfly species richness at the landscape scale; (ii) future indicators of biodiversity based on landscape features should consider various spatial scales.     

Linking biodiversity indicators,ecosystem functioning,provision of services and human well-being in estuarine systems: Application of a conceptual framework

Assuming that human well-being strongly relies on the services provided by well-functioning ecosystems, changes in the ecological functioning of any system can have direct and indirect effects on human welfare. Intensive land use and tourism have expanded in recent decades along coastal ecosystems, together with increasing demands for water, food and energy; all of these factors intensify the exploitation of natural resources. Many of the interrelations between ecosystem functioning and the provision of ecosystem services (ES) still require quantification in estuarine systems. A conceptual framework to assess such links in a spatially and temporally explicit manner is proposed and applied to the Mondego estuary (Portugal). This framework relies on three consecutive steps and discriminates among biodiversity structural components, ecosystem functioning and stability and the services provided by the ecosystem.Disturbances in abiotic factors were found to have a direct effect on biodiversity, ecosystem functioning and the provision of ES. The observed changes in the species composition of communities had a positive effect on the ecosystem's productivity and stability. Moreover, the observed changes in the estuarine ES provision are likely to arise from changing structural and abiotic factors and in the present case from the loss or decline of locally abundant species. This study also indicates that linear relationships between biodiversity, ecosystem functioning and services provision are unlikely to occur in estuarine systems. Instead, cumulative and complex relations are observed between factors on both temporal and spatial scales. In this context, the results suggest several additional conclusions: (1) biodiversity and ecosystem functioning interaction with human well-being need to be incorporated into decision-making processes aimed at the conservative management of systems; (2) the institutional use of research results must be part of the design and implementation of sustainable management activities; and (3) more integrative tools/studies are required to account for the interactions of estuarine ecosystems with surrounding socio-economic activities. Therefore, when performing integrated assessments of ecosystem dynamics, it becomes essential to consider not only the effects of biodiversity and ecosystem functioning on services provision but also the effects that human well-being and ES provision may have on estuarine biodiversity and ecosystem functioning.The proposed framework implies taking into account both the functional and the commodities points of view upon natural ecosystems and by this representing a line of thought which will deserve further research to explore more in detail the conceptual links between biodiversity–ecosystem functioning–services provided.     

Spatial covariance between ecosystem services and biodiversity pattern at a national scale (France)

We present at a national-scale estimates of spatial covariance between areas important for ecosystem services (ES) and biodiversity, at a fixed spatial scale in France. We calculated different diversity and community metrics for common bird communities: taxonomic diversity (TD), functional diversity (FD), community specialization index (CSI), trophic index (TI), phylogenetic diversity (PD) and community evolutionary distinctiveness (CED). The ES multifunctionality (ES_MF) was measured using a combination of ES evenness and overall ES estimator. Spatially explicit tests were used to compare the spatial patterns of ES and diversity metrics. Mixed models were used for comparisons.We found low spatial congruence between ES and both diversity and community metrics in France. However, we detected even opposite associations between ES and each biodiversity component. Crop production was negatively associated with CED, it was positively correlated with CSI. No positive associations were found between ES_MF and any diversity metric, independently of farming systems. The only significant association was negative: lower values of CED were associated with hotspots of ES_MF. We found also a negative effect of crop production on bird CED. The conservation implication is remarkable, because conservation policies focusing solely on the economic value of ES will fail to protect overall biodiversity.     

From instantaneous to continuous: Using imaging spectroscopy and in situ data to map two productivity-related ecosystem services

Spatially well-informed decisions are essential to sustain and regulate processes and ecosystem services (ES), and to maintain the capacity of ecosystems to supply services. However, spatially explicit ES information is often lacking in decision-making, or exists only as ES maps based on categorical land cover data. Remote sensing (RS) opens new pathways to map ES, in particular biophysical ES supply. We developed an observation-based concept for spatially explicit and continuous ES mapping at landscape scale following the biophysical part of the ES cascade. We used Earth observations in combination with in situ data to map ecosystem properties, functions, and biophysical ES supply. We applied this concept in a case study to map two ES: carbon dioxide regulation and food supply. Based on Earth observations and in situ data, we determined the ecosystem property Sun-Induced chlorophyll Fluorescence (SIF) to indicate ecosystem state and applied scaling models to estimate gross primary production (GPP) as indicator for ecosystem functioning and consequently carbon dioxide regulation and food supply as ES.Resulting ES maps showed heterogeneous patterns in ES supply within and among ecosystems, which were particularly evident within forests and grasslands. All investigated land cover classes were sources of CO₂, with averages ranging from ‐66 to ‐748 g C m^‐2 yr^‐1, after considering the harvest of total above ground biomass of crops and the storage organ, except for forest being a sink of CO₂ with an average of 105 g C m^‐2 yr^‐1. Estimated annual GPP was related to food supply with a maize grain yield average of 9.5 t ha^‐1 yr^‐1 and a sugar beet root yield of 110 t ha^‐1 yr^‐1. Validation with in situ measurements from flux towers and literature values revealed a good performance of our approach for food supply (relative RMSE of less than 23%), but also some over- and underestimations for carbon dioxide regulation. Our approach demonstrated how RS can contribute to spatially explicit and continuous ES cascade mapping and suggest that this information could be useful for environmental assessments and decision-making in spatial planning and conservation.     

Exploring spatial indicators for biodiversity accounting

In the context of the System for Environmental-Economic Accounting, biodiversity accounting is being developed as a tool to monitor and increase the understanding of human impacts on biodiversity. Biodiversity accounting aims to structurally measure, monitor and map changes in multiple biodiversity components, as an integral part of a larger system of ecosystem accounts. Both indicators relevant for ecosystem functioning and indicators that reflect the non-use values of biodiversity can be included in biodiversity accounting. In this paper we focus on the latter, and we test the potential applicability of a set of species indicators for developing a biodiversity account in Limburg province, the Netherlands. In particular, we map and analyse a range of indicators reflecting species richness, the presence of rare and threatened species and species diversity. We test spatial correlation to identify the minimum set of indicators that would need to be included in the account. We also evaluate individual indicators using eight different criteria. We show that, in Limburg province, a set of indicators covering at least five species groups is required, and that it would be most meaningful to have indicators reflecting the occurrence of threatened species. However, data availability as well as the most suitable set of indicators are likely to differ between areas, and case studies in other countries are required to support the selection of indicators for biodiversity accounting in an international framework.     

Biophysical indicators based on spatial hierarchy for informing land reclamation: The case of the Lower Athabasca River (Alberta,Canada)

In the Lower Athabasca region of Alberta (Canada), surface mining for bitumen from oil sands creates highly disturbed environments, which need to be restored, after mine closing, to equivalent land capability in terms of biodiversity and ecosystem services. We demonstrate a method to characterize ecosystem diversity and conditions using biophysical indicators of the Lower Athabasca meant for informing land reclamation planning and monitoring by identifying and creating a typology of the main assemblages of topography, soil and forest vegetation at the watershed, landform and ecosite scales, and analysing the relationships among land units of various scales. Our results showed that watersheds could be classified into distinct groups with specific features, even for a region with a generally flat or gently rolling topography, with slope, surficial deposits and aspect as key drivers of differences. Despite the subtle topography, the moisture regime, which is linked to large-scale cycles that are dependent on the surrounding matrix, was of primary importance for driving vegetation assemblages. There was no unique and homogeneous association between topography and vegetation; the specific landforms each displayed a range of ecosites, and the same ecosites were found in different landforms. This suggests that landscapes cannot be defined in a qualitative manner but rather with quantitative indicators that express the proportion occupied by each class of ecological units within the coarser units, therefore requiring during land reclamation that sufficient care is given to create heterogeneity within a given landform in terms of soil texture and drainage so that a mosaic of ecosite conditions is created.     

Potential stocks of reef fish-based ecosystem services in the Kuroshio Current region: Their relationship with latitude and biodiversity

The latitudinal decline of species richness is a general spatial pattern of biodiversity, and it applies to marine species as well. Based on a latitudinal gradient of marine species richness, potential stocks of marine ecosystem services are expected to be higher in lower latitudes through increment in biodiversity. However, little is known about the relationships of the marine ecosystem services with latitude and biodiversity. We estimated the latitudinal patterns and relationships with the biodiversity of potential stocks of three major reef fish-based ecosystem services (fisheries production, aquarium fish production, and recreational diving) at ten coral habitats from tropical to temperate zones in the Kuroshio Current region (8°37′N–33°24′N) using field survey data and information from relevant websites and administrative statistics. We found a latitudinal declin from south to north in potential stocks of aquarium fish production and diving in this region, whereas the peaks of fisheries production were found around both tropical and sub-tropical zones. Our results also showed strong positive effects of biodiversity on potential stocks of the three ecosystem services, highlighting the importance of conserving diverse fish species to sustain multiple services at high levels. Broad spatial patterns of the reef fish-based ecosystem services are useful as baselines for future evaluation of their changes. As the effects of climate change on reef fishes are predicted to vary among different latitude zones, our estimates of the ecosystem services infer specific management and economic actions for the respective zones against climate change.     

Think ratio! A stoichiometric view on biodiversity–ecosystem functioning research

Ecological stoichiometry (ES) has become one of the most pervasive theoretical frameworks in environmental sciences and biology in the last two decades. ES allows predicting processes on all organizational levels from subcellular structures to ecosystems by relating the elemental composition and demand of organisms to the relative availability of resources. However, ES has been rarely used to understand and predict the relationship between biodiversity and ecosystem functioning (BEF), although ES would be ideally suited as it makes predictions on both population processes underlying biodiversity as well as on matter transformations underlying ecosystem processes. Here, we propose to link the two fields of research on ES and BEF relationships and highlight a number of potential avenues for further research. First, we cast a stoichiometric view on drivers of biodiversity change. Second, we address the stoichiometric underpinning of biodiversity–productivity relationships. Third, we discuss potential interactions between stoichiometry and diversity in a food web context.     

Assessing the relationship between ecosystem functions and services: Importance of local ecological conditions

The development of standard procedures for mapping ecosystem services (ES) hotspots is an active research issue, mainly because it is very important to provide spatially reliable information to decision makers on land-use planning. When ES supply is estimated and mapped from sets of contributing ecosystem functions (EF), it is important to identify which of them contribute the most to a particular ES. Also, it is crucial to determine whether that contribution varies across different ecological contexts. In this work, we used an expert-knowledge-elicitation approach to build “integration matrices” that resume the relationships between EF and ES in four different ecoregions of southern South America (Valdivian Forests, Campos, Chaco and Pampas). To verify the utility of creating different matrices, we compared the results of the Pampas ecoregion with an average score matrix from the four selected ecoregions. Results showed that the contribution of EF to ES differed slightly using the Pampas and the general matrix. We also mapped hotspots of three ES in a real landscape from the Pampas, using both matrices and the ECOSER protocol for ES supply mapping. The location of ES supply hotspots differed between matrices, but the amount of discrepancies was not proportional to the differences in matrices scores. This suggests that the developed matrix that takes into account local ecological conditions provides a more reliable source of spatially explicit information on ES supply for decision makers than a general matrix. The integration matrices generated in this study are useful for different protocols of ES supply mapping.     

Landscape heterogeneity metrics as indicators of bird diversity: Determining the optimal spatial scales in different landscapes

Species distribution models are often used to study the biodiversity of ecosystems. The modelling process uses a number of parameters to predict others, such as the occurrence of determinate species, population size, habitat suitability or biodiversity. It is well known that the heterogeneity of landscapes can lead to changes in species’ abundance and biodiversity. However, landscape metrics depend on maps and spatial scales when it comes to undertaking a GIS analysis.We explored the goodness of fit of several models using the metrics of landscape heterogeneity and altitude as predictors of bird diversity in different landscapes and spatial scales. Two variables were used to describe biodiversity: bird richness and trophic level diversity, both of which were obtained from a breeding bird survey by means of point counts. The relationships between biodiversity and landscape metrics were compared using multiple linear regressions. All of the analyses were repeated for 14 different spatial scales and for cultivated, forest and grassland environments to determine the optimal spatial scale for each landscape typology.Our results revealed that the relationships between species’ richness and landscape heterogeneity using 1:10,000 land cover maps were strongest when working on a spatial scale up to a radius of 125–250 m around the sampled point (circa 4.9–19.6 ha). Furthermore, the correlation between measures of landscape heterogeneity and bird diversity was greater in grasslands than in cultivated or forested areas. The multi-spatial scale approach is useful for (a) assessing the accuracy of surrogates of bird diversity in different landscapes and (b) optimizing spatial model procedures for biodiversity mapping, mainly over extensive areas.     

Scaling up functional traits for ecosystem services with remote sensing: concepts and methods

Ecosystem service‐based management requires an accurate understanding of how human modification influences ecosystem processes and these relationships are most accurate when based on functional traits. Although trait variation is typically sampled at local scales, remote sensing methods can facilitate scaling up trait variation to regional scales needed for ecosystem service management. We review concepts and methods for scaling up plant and animal functional traits from local to regional spatial scales with the goal of assessing impacts of human modification on ecosystem processes and services. We focus our objectives on considerations and approaches for (1) conducting local plot‐level sampling of trait variation and (2) scaling up trait variation to regional spatial scales using remotely sensed data. We show that sampling methods for scaling up traits need to account for the modification of trait variation due to land cover change and species introductions. Sampling intraspecific variation, stratification by land cover type or landscape context, or inference of traits from published sources may be necessary depending on the traits of interest. Passive and active remote sensing are useful for mapping plant phenological, chemical, and structural traits. Combining these methods can significantly improve their capacity for mapping plant trait variation. These methods can also be used to map landscape and vegetation structure in order to infer animal trait variation. Due to high context dependency, relationships between trait variation and remotely sensed data are not directly transferable across regions. We end our review with a brief synthesis of issues to consider and outlook for the development of these approaches. Research that relates typical functional trait metrics, such as the community‐weighted mean, with remote sensing data and that relates variation in traits that cannot be remotely sensed to other proxies is needed. Our review narrows the gap between functional trait and remote sensing methods for ecosystem service management.     

Indicators of ecosystem services in a military Atlantic Forest area,Pernambuco—Brazil

The use of Ecosystem Services (ES) indicators can help designing, implementing and monitoring public environmental policies. Such indicators may be used as a support tool for natural resources management, like in forest areas, which are important ES providers. In this context, military areas are particularly challenging due to the nature of the activities conducted and the need to conciliate them with ecological protection, without undermining military readiness. It is argued that in addition to technical issues, considering stakeholders’ opinions is beneficial for the selection and design of ES indicators. The main aim of this research is to develop forest ES indicators supported by a participatory indicator selection process. A case study is made of an Atlantic Forest area in the Northeast of Brazil, under the jurisdiction of the Brazilian Army. To accomplish that aim, a questionnaire survey was sent to a group of stakeholders in order to evaluate an initial set of proposed 44 indicators for several forest ES. Through a weighting of stakeholders’ scores, 25 ES indicators for the Atlantic forest were obtained. The selected indicators portray the study area mainly as a provider of regulating, cultural and habitat services and less of provisioning services, which can be related with military and nature protection restrictions on the use of provisioning ES. Nevertheless, the three top-rated indicators dealt with water availability, regulation and quality (for human consumption). Together with the predominance of water-related ES that was observed (ten out of 25 indicators), this points out the relevance of forest water-related ES in the study area. On the other hand, the specificity of the military context was not clearly reflected by the indicators selected, since most of them are applicable in areas or contexts other than a military one. Alongside indicators expressing the benefits provided by nature, stakeholders’ scorings reveal recognition of the importance of biodiversity and resilience of the area. This stresses the importance of biodiversity and resilience to support ES supply, but is also linked with one of the major challenges for managing a military area with high natural value: that of conciliating military activities (that support military readiness) with nature protection. Other forest areas under military or similar particular jurisdiction, often representing a major fraction of national forests, could learn from this approach and identify areas for priority response measures. These indicators could be also a driver to increase and improve environmental management of military training activities and safeguarding natural resources in important ES providing areas like Atlantic forests.     

大比例尺土壤保持服务制图分级方法研究

科学地编制生态系统服务空间分布图,有助于识别生态系统优先保护热点及空缺,能够为国土安全规划提供基础信息。但由于缺乏统一科学的生态系统服务分级方法,生态系统服务分布图的展示效果和制图效率都受到限制。不恰当的分级制图会误导决策者对生态系统服务空间分布特征的判断,增加生态保护决策的不确定性。以构建生态服务制图分级标准为目标,对我国6个典型县区的土壤保持服务数据展开1：25万比例尺制图分级案例研究。采用分级精度、面积均衡性、极差一致性、空间自相关一致性4个分级质量评价指标评价并比较了目前地图编制中常用的自然断点法、几何间隔法、累积比例法、等差法、分位数法5种分级算法的分级制图效果。结果表明,6个县区有相似的土壤保持服务分布特征：低值区覆盖面积大,高值区覆盖面积小。各县区土壤保持服务制图最优分级方法有差异：延庆区、丰满区最优分级方法为自然断点法;永靖县、天山区、安宁市最优分级方法为累积比例法;富阳区最优分级方法为几何间隔法。各分级方法中,累积比例法在6个县区综合制图效果最优或接近最优,适用性最好,能够较好的刻画各县区的土壤保持服务空间分布特征。本文提出的分级评价方法及其结果,可为生态系统土壤保持服务制图规范化和自动化提供科学依据。     

模拟植物多样性的大尺度分布：从气候和生产力推知的一种可能性（英文）

 鉴于全球植被/生物群区在现状气候条件下已经被很好地模拟并在未来气候变化情景下得到很好的预测,人们有必要和急需模拟大尺度（区域、洲际至全球）植物多样性的分布格局。陆地生物圈模型的发展（从生物地理模型和生物地球化学模型到动态和耦合的植被模型）,气候-生物多样性相互关系和生产力-生物多样性相互关系研究成果的增多,以及基于现有生物多样性调查的全球生物多样性理论和经验制图的进步,加大了模拟大尺度植物多样性格局的可能性。本文的目的是：综述当前气候-生物多样性相互关系和生产力-生物多样性相互关系的主要研究成果以及大尺度