三江平原东北部湿地生态安全格局设计

以三江平原东北部为研究区域,采用"3S"技术和数学模型,根据景观尺度上生物多样性保护规划的景观生态安全格局方法,对三江平原湿地生物多样性保护进行规划设计.利用GAP分析方法预测湿地鸟类丰富度,并评价和计算了湿地鸟类干扰度,在此基础上构建物种运动阻力模型,并利用此模型计算物种运动阻力指数,建立物种运动等阻力面,在阻力面上识别战略点、辐射道和源间联接等景观组分.为了保护本区的湿地生物多样性,提出扩大保护区的面积、建立保护区与热点之间的廊道和设立微型保护地块的规划措施.提出的湿地鸟类多样性保护的景观生态安全格局技术与方法,不但为三江平原湿地及其生物多样性的保护和管理提供科学依据,而且丰富和发展了我国生物多样性保护的理论与方法.     

别拉洪河流域湿地鸟类丰富度的空间自相关分析

人类的开垦和开发活动使湿地生物多样性遭到严重的干扰和破坏,随着人们对湿地功能和价值的正确认识,湿地生物多样性保护越来越被广泛关注,湿地生物多样性空间分布格局及其影响因素是湿地生物多样性保护要解决的关键问题。利用空间自相关与空间滞后模型,对三江平原别拉洪河流域湿地鸟类丰富度的空间自相关性及其驱动因子进行了研究,结果表明:别拉洪河流域湿地鸟类丰富度及其驱动因子都具有明显的空间自相关性;影响别拉洪河流域湿地鸟类丰富度空间分布的主要因子是干扰度、生境类型数、到道路的距离、到沟渠的距离、到湖泊的距离、到居民点的距离、海拔高度、坡度和人口密度;由于受空间自相关的影响,空间自回归模型优于传统的回归模型。研究有助于人们更好地理解湿地生物多样性保护的热点地区及其形成机制,对人们更好地保护和利用湿地生物多样性具有重要价值,同时也为研究湿地鸟类分布与环境因子的关系,建立预测物种分布模型提供科学依据。     

重庆澎溪河湿地自然保护区生物多样性空间格局及热点区

生物多样性空间格局和热点区域的分析与探测是进行生物多样性保护规划和科学管理的有效途径。以重庆澎溪河湿地自然保护区为例,基于实地综合调查、历史资料、文献信息,利用生境质量指数、物种多样性和景观多样性评价指标,构建生物多样性综合指数。结合空间自相关分析,揭示保护区生物多样性空间分布格局及其空间自相关程度,并识别生物多样性热点区,探讨现有保护区对热点区域的保护有效性。结果表明: 保护区生物多样性空间格局呈现出随距河流及两岸消落带距离的增加而减少的趋势,生物多样性指数高值区主要集中在澎溪河、普里河、白夹溪及其沿岸地区。生物多样性在空间分布上具有显著的正相关性,局部空间自相关以高-高聚集和低-低聚集类型为主。生物多样性热点区域面积为457 hm²,占保护区总面积的11.1%。现有保护区核心区涵盖了51%的热点区域和50%的次热点区域,保护区结构和功能区布局有待进一步优化调整,建议将普里河段龙王堂区域,白夹溪小垭口、邓家湾、洞子岩、龙王塘、旧屋咀、铧头咀、新铺子与龙家院子等热点区域纳入核心区,将冷点区域划到核心区之外,完善保护区功能区划。研究结果可为保护区范围及功能区优化和管控、合理推进“三区变两区”调整提供定量的基础资料,对于提高物种保护效率、制定科学的保护策略具有指导意义。     

汶川地震灾区生物多样性热点地区分析

汶川地震灾区位于长江上游,是我国大熊猫(Ailuropoda melanoleuca)的主要分布区,被保护国际认定的25个全球生物多样性热点地区之一.2008年5月12日发生的汶川大地震导致该区域生态环境遭受严重破坏,需要识别生物多样性热点地区,指导灾后生物多样性保护.选取物种生境质量、植被景观多样性指数和物种多样性指数作为评价指标,其中生境质量采用InVEST生物多样性模型计算,然后利用空间相关分析中G系数进行热点地区分析,探测出灾区生物多样性的热点区,并在此基础上与现有保护区分布、物种生境分布以及Marxan模型计算出的优先区进行对比验证.结果显示:热点区范围涉及到现有76％的保护区,且保护区内的热点区面积达到灾区所有保护区面积的55％;在选取的69个指示物种中有60个物种位于热点区的生境面积占这些物种在灾区的总生境面积的50％以上,有32个物种在80％左右,热点区内的所有指示物种生境总面积占整个灾区指示物种生境总面积的70％以上.基于空间相关分析方法得出的热点地区基本上与Marxan模型输出的优先保护区范围结果基本一致.但空间相关分析的热点区划分克服了Marxan模型优先保护区分布过于离散,孤岛效应明显的不足.     

基于历史生物多样性与湿地景观结构的三江平原湿地恢复优先性研究

三江平原是我国最大的淡水沼泽分布区,建国后大规模的农业开发活动导致湿地面积锐减,湿地生态系统服务功能退化,产生一系列的生态环境问题,有必要进行湿地恢复。生物多样性的历史分布和湿地景观结构特征对湿地恢复具有重要指导意义。在分析三江平原湿地景观格局变化的基础上,结合三江平原历史生物多样性保护价值(即湿地恢复价值)以及各县市内湿地景观结构(现有湿地分布比例)对湿地恢复进行了优先性分析,确定了不同县市内不同空间位置上湿地恢复优先等级。景观格局变化分析结果表明,三江平原在20年间,湿地面积大幅减少,且破碎化现象严重,70%以上的退化或消失湿地被耕地侵占;基于历史生物多样性保护价值的湿地恢复价值评估表明,目前已经退化或消失的湿地有57.56%具有相对较高的恢复价值,而且还有22.02%的区域处于中等恢复价值水平,恢复潜力较大;结合现有湿地分布比例的结果表明,在三江平原的19个受湿地影响的市县中,有2个一级恢复区,6个二级恢复区,9个三级恢复区和2个四级恢复区。研究为今后三江平原湿地恢复行动的时空顺序确定提供了参考,同时为缺少生物多样性历史监测数据的区域提供了快速的湿地恢复评估方法。     

黄淮海湿地生态系统服务与生物多样性保护格局的耦合性

研究生物多样性格局与生态系统服务格局之间的空间耦合效应,探讨以生物多样性保育为核心目标的自然保护体系同时能多大程度满足对生态系统服务功能的维护和支撑,已成为自然保护领域新的热点关注问题。目前研究多限于陆域生态系统,其方法难以适用于湿地生态系统。以黄淮海湿地——这一高强度人类活动的区域为研究区,基于湿地生态系统的横向连接度、纵向连接度(2D)以及结合地下水的垂向连接度(3D),对黄淮海地区湿地具有的生态系统服务功能进行了空间评估和分析,识别出具有重要意义的生态系统服务功能区域,结合现有保护区分布情况进行空间分析,评价现有保护区对生态系统服务功能的支持程度,即生物多样性保护与生态系统服务功能重点区域的空间耦合性。研究结果表明:目前湿地保护区并未有效覆盖湿地生态系统关键区域,湿地生态系统服务关键格局也存在大量明显的保护空缺。同时,随着2D到3D延伸,保护区对生态系统服务功能的支持程度也稍有提高,这与系统保护规划中选择不同保护目标后保护规划格局发生变化的情况类似,而生态系统服务功能的"热点地区"(重要区域)与保护生物学中所指的物种保护的热点地区类似,这表明生态系统服务功能的规划和保护也可以借鉴保护生物学中系统保护规划的理论和方法,为后续研究提供参照。     

渤海沿岸湿地生物多样性变化特征

全球气候变化和人类活动干扰的加强,对全球生物多样性造成了前所未有的干扰和破坏。近年来随着我国东部沿海的人口经济快速增长、资源需求进一步增大,生物多样性保护面临着巨大的挑战,进而影响地区经济和生态环境的可持续发展。在区域尺度上评估我国滨海湿地生态系统生物多样性空间格局及其变化特征,对于科学认识和合理保护滨海湿地生态系统生物多样性,和制定生态环境保护决策具有十分重要的意义。以渤海沿岸湿地生态系统生物多样性为研究对象,通过InVEST模型,和物种丰富度指数,评价了该地区生物多样性现状及其变化。结果表明:(1)渤海沿岸湿地生态系统主要以水库坑塘为主,其次为草本沼泽。在2000—2010年期间,渤海沿岸湿地生态系统总面积几乎不变,主要为草本沼泽和水库坑塘之间的转换。(2)湿地生物多样性较高的区域主要分布在辽东湾中部、渤海湾东南部和莱州湾西北部。由于城市化进展的加快,人类活动的干扰加强,近10年来,渤海沿岸湿地生境质量逐渐降低,生物多样性呈退化趋势。频繁的人类活动对该地区湿地生物多样性产生巨大的负面影响,应多建立自然保护区加以保护。(3)生物多样性变化热点区主要分布在渤海湾东南部和莱州湾西北部。冷点区域主要集中在渤海湾的中北部。在渤海湾东南部和莱州湾西北部的变化热点区内,生物多样性呈改善趋势,说明有效的生态系统转换和湿地保护区的建立,可以实现发展与保护共存,达到了双赢的效果。     

基于系统保护规划方法东北生物多样性热点地区和保护空缺分析

根据东北地区生物多样性特征,利用系统保护规划方法和国际上常用的保护规划软件C- plan,计算了规划单元的不可替代性值,确定了区域生物多样性热点地区,并根据保护区分布现状进行了生物多样性保护空缺分析.结果显示,东北地区不可替代性较高的热点地区有4个,分别是:(1)长白山西北部林区,(2)大兴安岭北段山地区,(3)大兴安岭南部森林与草原过渡区,(4)松嫩平原中部湿地区. 在优先、一般、非优先3个等级中,需要优先保护地区的总面积是19.49×104km2,约占区域总面积的20.91%.同时,根据已建保护区分布情况研究发现,区域内存在3个明显的保护空缺,即长白山西北部林区、大兴安岭北段山地区和大兴安岭南段森林草原过渡区.建议新建和扩建保护区,同时建立生态廊道把相应的保护区关联起来,以实现区域内生物多样性保护目标.     

基于优势种的生物多样性保护价值空间异质性研究——以长白山生态功能区为例

生物多样性保护是生态系统的主导功能之一,对生物多样性空间异质性的研究有助于准确认识区域的保护价值及重要性,但目前可借鉴的生物多样性价值空间异质性评价方法和经验偏少。以长白山生态功能区核心区为研究区域,基于生物多样性丰富区域优势物种的分布及其环境因子,通过Maxent评估生物多样性保护价值,将研究区域分为生物多样性保护高价值区、中价值区和一般价值区,并开展景观分析与评估。研究结果表明:研究区域内生物多样性保护高价值区域占总面积的42.9%、主要分布于长白山保护区内,保护区内的高价值斑块也较保护区外完整、面积大;研究区域内生物多样性高价值斑块的平均面积和最大斑块面积远高于中价值区和一般价值区,其斑块景观较完整、破碎化水平相对较低,是研究区域生物多样性保护价值和生态系统稳定性的重要基础。植被是对研究区域生物多样性影响最大的环境因子,其次是土层厚度和海拔。从生态系统完整性和过程连续性保护的需要,保护区南部缓冲区可考虑调整为核心区,保护区外还有较大面积的生物多样性高价值和中价值区域也应纳入保护区进行保护;长白山西坡是生物多样性高价值斑块最破碎的区域,应在未来的保护工作中予以特别关注。本研究表明关联优势种空间分布及环境因子是认识生物多样性价值及空间异质性的有效手段,本研究方法可为生态红线划定和国家公园设计提供参考。     

青海三江源国家级自然保护区麦秀分区鸟类多样性空间格局及热点区域研究

生物多样性分布格局与热点区域的评估与确定是生物多样性保护规划的基础。三江源地区位于青藏高原腹地的长江、黄河、澜沧江源头汇水区,是世界上高原物种最丰富、最集中的区域之一。本文在对三江源国家级自然保护区麦秀分区鸟类资源全面调查的基础上,利用GAP分析和空间自相关分析对鸟类丰富度的空间分布格局与热点区域进行了探讨,并对当前功能区划下的保护空缺进行了分析。结果表明:(1)调查期间共记录鸟类89种,隶属10目29科57属,其中列入《国家重点保护野生动物名录》的12种,列入《濒危野生动植物种国际贸易公约(CITES)》附录I、II的11种;(2)不同环境梯度间鸟类群落组成差异显著,低海拔的森林生境物种多样性要明显高于高海拔的草原草甸生境;(3)鸟类丰富度的空间格局表现为从东北部的峡谷林区分别往西北、东南部冰川雪山递减;濒危保护鸟类的热点区域集中分布在西南部高山草甸,与全部鸟类的热点区域之间存在明显差异;(4)麦秀分区核心区范围与全部鸟类的多样性热点区域的分布一致,但未能覆盖濒危保护鸟类的热点区域,可能不利于濒危鸟类的保护。本研究结果有助于保护区划的修订与完善,同时亦能为小尺度下生物多样性保护规划的研究提供有益参考。     

Modeling Spatial Trends in Estimated Species Richness using Breeding Bird Survey Data: A Valuable Tool in Biodiversity Assessment

We used data from the French breeding bird survey to estimate local bird species richness within sampled sites, using capture–recapture models. We investigated the possible effects of habitat structure and composition (landscape fragmentation, habitat cover and diversity) on estimated species richness at a local scale, and used the identified trends to help with modeling species richness at a large spatial scale. We performed geostatistical analyses based on spatial autocorrelation – cokriging models – to interpolate estimated species richness over the entire country, providing an opportunity to predict species-rich areas. We further compared species richness obtained with this method to species and rarity richness obtained using a national atlas of breeding birds. Estimated species richness was higher in species richness hotspots identified by the atlas. Combining informations on rare species from Atlas and species richness estimates from sound sampling based schemes should help with identifying species-rich areas for various taxa and locating biodiversity hotspots to be protected as high conservation value areas, especially in temperate zones where diversity hotspots are likely to match centers of high species richness because of very few centers of true endemicity.     

Biodiversity hotspots are not congruent with conservation areas in the Gulf of California

As marine systems are threatened by increasing human impacts, mechanisms to maintain biodiversity and ecosystem functions and services are needed. Protecting areas of conservation importance may serve as a proxy for maintaining these functions, while also facilitating efficient use and management of limited resources. Biodiversity hotspots have been used as surrogates for spatial conservation importance; however, as many protected areas have been established opportunistically and under differing criteria, it is unclear how well they actually protect hotspots. We evaluated how well the current protected area network and priority areas selected through previous systematic conservation planning exercises preserve biodiversity hotspots in the Gulf of California, Mexico. We also determined spatial congruence between biodiversity hotspots based on different criteria, which may determine their ability to be used as surrogates for each other. We focus on the Gulf of California because it is a megadiverse system where limited information regarding species diversity and distribution has constrained development of strategies for conservation and management. We developed a species occurrence database and identified biodiversity hotspots using four different criteria: species richness, rarity, endemism, and threatened species. We interpolated species occurrence, while accounting for heterogeneous sampling efforts. We then assessed overlap of hotspots with existing protected areas and priority areas, and between hotspots derived by distinct criteria. We gathered 286,533 occurrence records belonging to 12,105 unique species, including 6388 species identified as rare, 642 as endemic, and 386 as threatened. We found that biodiversity hotspots showed little spatial overlap with areas currently under protection and previously identified priority areas. Our results highlight the importance of distinct spatial areas of biodiversity and suggest that different ecological mechanisms sustain different aspects of diversity and multiple criteria should be used when defining conservation areas.     

An assessment of the efficiency of protection status through determinations of biodiversity hotspots based on endemic bird species,Taiwan

Evaluations of species richness patterns have been performed at diverse scales, and biodiversity hotspots, especially endemism hotspots, have received much attention in conservation biology. We estimated the distributions of endemic bird species based on a 12-yr avian inventory project in Taiwan, identified biodiversity hotspots of endemism on a regional scale based on predictions from the ensemble forecasting framework and frequency histogram approach, and assessed the efficiency of protected areas. The results indicated that the predicted endemism hotspots were mostly located in mid- and high-elevation areas along the Central Mountain Range of Taiwan. An observed endemism hotspot was defined as one in which at least five of Taiwan's 17 endemic bird species were present. This criterion was used because the 5% of the sampled grid squares that were the richest in endemic bird species all had 5 endemic bird species or more. Seventy to seventy-one percent of the observed biodiversity hotspots matched the predicted biodiversity hotspots. This outcome was obtained whether the richness biodiversity in a grid square was based on summed predicted probability or summed predicted richness. The majority of the protected areas for these Taiwanese endemic bird species were national parks, protecting 24.1% of the predicted hotspot areas, whereas nature reserves and wildlife refuges protected less than 7%. Most of the predicted endemism hotspots were not adequately protected. We conclude that the ensemble forecasting framework and the frequency histogram approach are useful for selecting critical habitats and biodiversity hotspots for endemic species and for appraising the efficiency of the protection status provided by governments.     

Geostatistical modelling of regional bird species richness: exploring environmental proxies for conservation purpose

Identifying spatial patterns in species diversity represents an essential task to be accounted for when establishing conservation strategies or monitoring programs. Predicting patterns of species richness by a model-based approach has recently been recognised as a significant component of conservation planning. Finding those environmental predictors which are related to these patterns is crucial since they may represent surrogates of biodiversity, indicating in a fast and cheap way the spatial location of biodiversity hotspots and, consequently, where conservation efforts should be addressed. Predictive models based on classical multiple linear regression or generalised linear models crowded the recent ecological literature. However, very often, problems related with spatial autocorrelation in observed data were not adequately considered. Here, a spatially-explicit data-set on birds presence and distribution across the whole Tuscany region was analysed. Species richness was calculated within 1 × 1 km grid cells and 10 environmental predictors (e.g. altitude, habitat diversity and satellite-derived landscape heterogeneity indices) were included in the analysis. Integrating spatial components of variation with predictive ecological factors, i.e. using geostatistical models, a general model of bird species richness was developed and used to obtain predictive regional maps of bird diversity hotspots. A meaningful subset of environmental predictors, namely habitat productivity, habitat heterogeneity, combined with topographic and geographic information, were included in the final geostatistical model. Conservation strategies based on the predicted hotspots as well as directions for increasing sampling effort efficiency could be extrapolated by the proposed model.     

Do hotspots fall within protected areas? A Geographic Approach to Planning analysis of regional freshwater biodiversity

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The Importance of Rotational Crops for Biodiversity Conservation in Mediterranean Areas

Nowadays we are seeing the largest biodiversity loss since the extinction of the dinosaurs. To conserve biodiversity it is essential to plan protected areas using a prioritization approach, which takes into account the current biodiversity value of the sites. Considering that in the Mediterranean Basin the agro-ecosystems are one of the most important parts of the landscape, the conservation of crops is essential to biodiversity conservation. In the framework of agro-ecosystem conservation, farmland birds play an important role because of their representativeness, and because of their steady decline in the last Century in Western Europe. The main aim of this research was to define if crop dominated landscapes could be useful for biodiversity conservation in a Mediterranean area in which the landscape was modified by humans in the last thousand years and was affected by the important biogeographical phenomenon of peninsula effect. To assess this, we identify the hotspots and the coldspots of bird diversity in southern Italy both during the winter and in the breeding season. In particular we used a scoring method, defining a biodiversity value for each cell of a 1-km grid superimposed on the study area, using data collected by fieldwork following a stratified random sampling design. This value was analysed by a multiple linear regression analysis and was predicted in the whole study area. Then we defined the hotspots and the coldspots of the study area as 15% of the cells with higher and lower value of biodiversity, respectively. Finally, we used GAP analysis to compare hotspot distribution with the current network of protected areas. This study showed that the winter hotspots of bird diversity were associated with marshes and water bodies, shrublands, and irrigated crops, whilst the breeding hotspots were associated with more natural areas (e.g. transitional wood/shrubs), such as open areas (natural grasslands, pastures and not irrigated crops). Moreover, the results underlined the negative effects of permanent crops, such as vineyards, olive groves, and orchards, in particular during the winter season. This research highlights the importance of farmland areas mainly for wintering species and the importance of open areas for breeding species in the Mediterranean Basin. This may be true even when the species’ spatial distribution could be affected by biogeography. An important result showed that the hotspots for breeding species cannot be used as a surrogate for the wintering species, which were often not considered in the planning of protected areas.     

The impact of natural resource use on bird and reptile communities within multiple-use protected areas: evidence from sub-arid Southern Madagascar

Multiple-use protected areas, in which sustainable levels of extractive livelihood activities are permitted, play an increasingly important role in the global protected area estate, and are expected to rise in prevalence. However, we know little about their effectiveness at conserving biodiversity. We surveyed bird and reptile communities in three areas across a forest disturbance gradient resulting from charcoal production and shifting cultivation within a multiple-use protected area in Madagascar’s sub-arid spiny forest. We scored individual species using a Conservation Value Index (CVI; a simple metric based on rarity, threat and distinctiveness), and estimated the total conservation value of each treatment by calculating the sum of frequency-weighted CVI scores across all present species. Bird and reptile community responses to forest disturbance were idiosyncratic. Bird richness was greatest in the moderate-disturbance treatment, but the low-disturbance treatment had the superior conservation value due to higher frequencies of locally-endemic species. Reptile richness was the same in low- and moderate-disturbance treatments, but the conservation value of the latter was greater. The high-disturbance areas had lowest richness and conservation value for both groups. For birds, increasing disturbance levels were accompanied by community turnover from high-value to low-value species, a pattern highlighted by CVI that is masked by assessing species richness alone. Although some endemic species appear to be resilient to degradation, multiple-use protected areas in Madagascar may lose biodiversity since most endemic species are forest-dependent. Stricter protected area models may be more appropriate in areas where much of the high-value biodiversity is sensitive to habitat degradation.