滇西北县域生物多样性本底调查与评估

中国是世界上生物多样性最丰富的国家之一, 同时也是生物多样性受威胁最严重的国家之一。为了有效保护生物多样性, 2010年国务院批准实施了《中国生物多样性保护战略与行动计划(2010-2030年)》, 划定了32个陆地生物多样性保护优先区, 并设定了开展优先区生物多样性本底调查的战略目标、优先领域与优先行动。为此, 2010-2011年, 环境保护部联合中国科学院和高校的科研人员, 在滇西北开展了18个县的以县域为单元的生物多样性本底示范调查与研究。调查内容包括生态系统(植被类型)和物种两个层次。生态系统主要调查县域内植被类型的多样性, 完成了以群系为单位的植被类型编目; 物种层次主要调查县域内高等植物、脊椎动物、大型真菌的物种多样性组成、数量和用途等, 分析了特有物种和珍稀濒危物种数量等, 完成了县域物种编目。本文基于调查结果, 比较研究了不同县域间的生物多样性组成, 发现植被类型(108个群系)和物种(高等植物4,481种、脊椎动物625种、大型真菌222种)最丰富的县均为玉龙县。同时, 与历史记录对比研究发现, 滇西北的生物多样性分布数据十分欠缺, 严重影响了生物多样性保护的客观有效决策。生物多样性本底调查是生物多样性保护的一项基础工作, 本研究为中国未来开展大规模的生物多样性本底调查与评估提供了案例。     

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.     

海洋生物多样性保护优先区域的确定

为了有效利用资源和资金,合理保护海洋生物多样性,海洋生物多样性保护优先区域的确定成为目前保护生物学领域的热点之一.本文首先探讨了生物多样性保护优先区域的定义和内涵,认为海洋生物多样性保护优先区域是指生物多样性丰富、物种特有化程度高、珍稀濒危物种分布集中、具有重要生态功能和过程的海洋区域.其次对保护优先区域确定的内容和方法进行了总结,主要包括单元区划、指标体系的构建及保护优先区域评估3个方面.继而根据我国海洋生物多样性现状提出保护优先区域确定的基本思路,即在海洋生物地理分区的基础上,根据物种和生境的生物多样性指标确定保护优先区域.最后针对存在问题提出建议,包括运用生物地理学方法进行单元区划、基于物种和生态系统的方法构建生物学指标以及信息网络数据库的构建等.     

中国蔷薇科植物多样性格局及其资源植物保护现状

蔷薇科(Rosaceae)是在中国广泛分布并具有重要经济价值的植物类群, 但蔷薇科资源植物的物种多样性格局及其保护状况尚缺乏较系统的评估。该文旨在: 1)整理中国蔷薇科资源植物名录, 显示其物种多样性格局及热点地区, 并探究这一格局的形成机制。2)评估中国蔷薇科资源植物的保护状况, 为其保护规划提供基础数据。通过广泛收集整理《中国植物志》、省级植物志等资料中关于蔷薇科的记录, 建立了中国蔷薇科物种名录(共914种), 确定了物种的主要经济用途(包括食用植物、园林绿化植物、药用植物和水果种质资源), 并建立了每种植物的高精度分布图。在此基础上, 估算了蔷薇科全部物种及主要资源植物类别的物种多样性格局, 并利用广义线性模型和冗余分析探讨了蔷薇科物种多样性格局与环境的关系。最后将物种分布与中国国家级和省级自然保护区进行叠加分析, 评估了蔷薇科植物的保护现状。结果显示: 1)四川盆地北部、东部和西部山区以及横断山区是中国蔷薇科植物的热点地区。2)蔷薇科植物多样性主要受水分因子影响。3)横断山区、云南东南部和西藏东南部等地是保护薄弱物种集中的区域, 而悬钩子属(Rubus)等类群的保护不足。     

系统发育多样性测度及其在生物多样性保护中的应用

生物多样性保护面临两个基本问题：如何确定生物多样性测度以及如何保护生物多样性。传统的生物多样性测度是以物种概念为基础的,用生态学和地理学方法确定各种生物多样性指数。其测度依赖于样方面积的大小,并且所有的物种在分类上同等对待。系统发育多样性测度基于系统发育和遗传学的理论和方法,能确定某一物种对类群多样性的贡献大小。该方法比较复杂,只有在类群的系统发育或遗传资料比较齐全时方能应用。本文认为,物种生存力途径和系统发育多样性测度相结合有助于确定物种和生态系统保护的优先秩序。     

中国兰科植物属的界定:现状与展望

<正>兰科植物是被子植物的最大科之一,全世界约有736属28,000种(Chase et al.,2015,Dressler,1993),广泛分布于大部分的陆地生态系统中,尤其以热带地区最为丰富。兰科植物是生物学研究的热点类群之一,也是生物多样性保护中的"旗舰"类群,全世界所有的野生兰科植物均被列为《野生动植物濒危物种国际贸易公约》(CITES)的保护范围,占该公约保护植物种类的90%以上。中国是野生兰科植物最为丰富的国家之一,     

中国蔷薇科植物多样性格局及其资源植物保护现状

蔷薇科(Rosaceae)是在中国广泛分布并具有重要经济价值的植物类群,但蔷薇科资源植物的物种多样性格局及其保护状况尚缺乏较系统的评估。该文旨在:1)整理中国蔷薇科资源植物名录,显示其物种多样性格局及热点地区,并探究这一格局的形成机制。2)评估中国蔷薇科资源植物的保护状况,为其保护规划提供基础数据。通过广泛收集整理《中国植物志》、省级植物志等资料中关于蔷薇科的记录,建立了中国蔷薇科物种名录(共914种),确定了物种的主要经济用途(包括食用植物、园林绿化植物、药用植物和水果种质资源),并建立了每种植物的高精度分布图。在此基础上,估算了蔷薇科全部物种及主要资源植物类别的物种多样性格局,并利用广义线性模型和冗余分析探讨了蔷薇科物种多样性格局与环境的关系。最后将物种分布与中国国家级和省级自然保护区进行叠加分析,评估了蔷薇科植物的保护现状。结果显示:1)四川盆地北部、东部和西部山区以及横断山区是中国蔷薇科植物的热点地区。2)蔷薇科植物多样性主要受水分因子影响。3)横断山区、云南东南部和西藏东南部等地是保护薄弱物种集中的区域,而悬钩子属(Rubus)等类群的保护不足。     

辽宁省生物多样性保护优先区识别

生物多样性保护优先区是我国为加强生物多样性保护划定的重要区域,辽宁省境内目前并无此类优先区,弥补相关缺失具有重要意义。本研究通过对生态系统保护、人类影响和生物多样性保护区划3个准则层7个指标进行计算,依次获得辽宁省生物多样性保护优先区指标值、准则层值和优先区识别综合值,结合辽宁省县(市)行政边界和自然保护区边界数据,确定了辽宁西部和东部生物多样性保护优先区的建议地域范围。其中,辽宁西部生物多样性保护优先区面积为12951 km²,森林覆盖率为53.6%,包括9个省级以上自然保护区,以水土保持作为区域重要生态功能;辽宁东部生物多样性保护优先区面积为20057 km²,森林覆盖率为78.9%,包括8个省级以上自然保护区,以水源涵养作为区域重要生态功能。上述优先区是国家和省级保护物种的集中分布区,也是辽宁省重要生态系统的分布区,亟待开展生物多样性保护工作。     

生物多样性保护优先区对重庆苔藓植物多样性保护的重要性

生物多样性保护优先区的生物多样性十分丰富, 对于生物多样性保护具有重要意义。本文基于野外调查数据和文献资料, 整合大巴山和武陵山两个中国生物多样性保护优先区重庆境内的苔藓植物名录, 通过分析物种丰富度、中国特有种和受威胁物种, 比较了这两个地区的苔藓植物组成特点和相似性。结果显示, 两个保护优先区重庆境内共有苔藓植物77科221属722种, 其物种数分别占重庆市和中国苔藓植物总种数的76.0%和23.9%。两个区域分布有中国特有苔藓植物56种, 占中国苔藓植物总种数的1.9%; 分布有极危苔藓植物1种、濒危4种和易危3种。科、属、种的Jaccard相似性系数分别为0.7、0.6和0.3, 表明两个区域物种组成差异较大。大巴山和武陵山两个中国生物多样性保护优先区都具有较高的苔藓植物物种多样性, 其种类组成具有一定代表性, 对重庆市和中国苔藓植物多样性保护具有重要价值。     

贵州省国家重点保护野生植物物种丰富度分布特征及保护优先区分析

该研究以国家重点保护野生植物为指示物种,结合贵州各县(市、区)的国家重点保护野生植物调查统计信息,基于GIS技术,分析了贵州省国家重点保护野生植物物种丰富度分布特征;应用Dobson算法筛选识别贵州国家重点保护野生植物的保护优先区,并利用全省已建自然保护区信息评价分析所筛选的保护优先区的保护现状。结果表明:(1)在贵州国家重点保护野生植物的物种丰富度分布上,总体来说全省南部地区高于北部地区,环省界区域往内陆延伸的物种丰富度明显呈现减少趋势。(2)在75%和100%的国家重点保护野生植物物种保护水平上,筛选识别出了荔波县等4个和17个县域为保护优先区,其中分别有1个和9个国家重点保护野生植物保护优先区内涵盖的自然保护区面积低于5%,且涉及的自然保护区中68.26%的面积是市/县级。(3)贵州国家重点保护野生植物物种较丰富的区域和全省生物多样性热点区域与所筛选识别的保护优先区有较好的空间对应关系。(4)贵州国家重点保护野生植物的就地保护应以国家重点保护野生植物地理分布丰富的区域结合本研究筛选的保护优先区为重点,进行优先保护。     

Identifying key biodiversity areas as marine conservation priorities in the greater Caribbean

Increasing rates of Anthropocene biodiversity extinctions suggest a possible sixth mass extinction event. Conservation planners are seeking effective ways to protect species, hotspots of biodiversity, and dynamic ecosystems to reduce and eventually eliminate the degradation and loss of diversity at the scale of genes, species, and ecosystems. While well-established, adequately enforced protected areas (PAs) increase the likelihood of preserving species and habitats, traditional placement methods are frequently inadequate in protecting biodiversity most at risk. Consequently, the Key Biodiversity Area (KBA) Partnership developed a set of science-based criteria and thresholds that iteratively identify sites where biodiversity is most in need of protection. KBA methodology has been rarely applied in the marine realm, where data are often extremely limited. We tested the feasibility of KBA population metrics in the Greater Caribbean marine region using occurrence and population data and threat statuses for 1669 marine vertebrates. These data identified areas where site-specific conservation measures can effectively protect biodiversity. Using KBA criteria pertaining to threatened and irreplaceable biodiversity, we identified 90 geographically unique potential KBAs, 34 outside and 56 within existing PAs. These provide starting points for local conservation managers to verify that KBA thresholds are met and to delineate site boundaries. Significant data gaps, such as population sizes, life history characteristics, and extent of habitats, prevent the full application of the KBA criteria to data-poor marine species. Increasing the rate and scope of marine sampling programs and digital availability of occurrence datasets will improve identification and delineation of KBAs in the marine environment.

     

基于C-Plan规划软件的生物多样性就地保护优先区规划——以中国东北地区为例

以中国东北地区为研究区域,根据生物多样性属性特征,选择研究区域内具有代表性的濒危物种作为指示物种,利用系统保护规划方法(Systematic Conservation Planning,SCP)和保护规划软件(C-Plan),对该区域进行了优先保护规划研究。通过计算规划单元的不可替代性值(Irreplaceability,IR),找出区域生物多样性热点地区和保护空缺地区,然后利用C-Plan规划软件对该地区进行保护优先等级划分,确定必须保护(Mandatory Reserved,MR)、协商保护(Negotiated Reserved,NR)和部分保护(PartiallyReserved,PR)3个等级保护区域的具体位置和面积,并针对保护现状提出保护规划建议。结果显示,必须保护区域的总面积占区域总面积的8.17%,主要分布于长白山核心地区和大兴安岭北部原始林区;协商保护区域占总面积的7.51%,主要分布于大兴安岭东南部和松嫩平原湿地;部分保护区域占总面积的9%。保护空缺分析结果显示,现有国家级自然保护区对生物多样性的保护存在3个明显的保护空缺,即长白山林区的龙岗山地区、老爷岭北部和张广才岭南部;大兴安岭北部原始林区、呼玛河—黑龙江流域的平原湿地和伊勒呼里山东南部山区;大兴安岭南部森林草原过渡区的东南部森林地区。结合区域内已建立的国家级自然保护区情况,利用C-Plan规划软件对不同时期建立的保护区实现保护目标的贡献率做了分析。截止2000年,已建保护区可实现预期保护目标的17.5%,通过对贡献率大小的比较确定了不同时期保护的有效程度。研究打破了传统的对称几何形状的单元划分方法,根据植被类型和自然地形地貌,采用自然多边形进行单元划分,提高了物种分布范围准确度。研究通过C-Plan规划软件的实际应用,丰富了系统保护规划研究的方法,从理论上为区域保护规划提供了科学依据,并可指导我国自然保护区管理政策的制定和中长期规划的编制。     

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.     

基于ZONATION的岷山山系多物种保护规划

空间布局不尽合理是我国的自然保护区发展面临的问题之一,优化现有的自然保护区体系是在资源有限的情况下实现自然保护区的保护效益最大化的最佳途径。以岷山地区为主要研究区域,以25种珍稀濒危物种为主要研究对象,通过MAXENT与ZONATION模型模拟,鉴别出岷山地区珍稀濒危物种保护优先区,并提出了自然保护区空间选址的优化方案。研究结果表明,(1)在物种出现点记录较少的情况下,MAXENT模型依然能够比较准确地预测出物种的分布状况;(2)目前建立的保护区对25个物种的平均保护比例为51.8%;(3)通过ZONATION鉴定的优先区总面积为19958.7 km~2,岷山地区现有的29个自然保护区只保护了目标优先区的47.1%,九寨沟中部与南部,平武北部,平武与北川的交界处,北川西北部等地都存在保护空缺。建议在保护空缺的6个地方新建或扩建自然保护区,并在规划时考虑这些区域内部的优先次序。新提出的保护体系能将物种栖息地的保护比例提高至77.9%。研究结果对于岷山及全国其他生物多样性保护关键地区保护体系的规划都具有重要的借鉴意义。     

安徽石台县与青阳县苔藓植物多样性

生物多样性保护优先区域代表了生物多样性富集区、典型生态系统与关键物种分布区, 对于生物多样性保护具有重要意义, 但优先区域内自然保护地覆盖率通常较低, 存在很大的保护空缺。苔藓植物作为生物多样性的一个重要组成部分, 在生态系统中发挥着重要作用, 但由于个体细小、分类鉴定困难等, 使得其多样性保护成为整个生物多样性保护中较为薄弱的一环。为了了解我国生物多样性保护优先区域苔藓植物多样性及受保护情况, 本文以黄山-怀玉山生物多样性保护优先区域内的石台县和青阳县为例, 通过系统的样线法调查优先区域内自然保护地内、外的苔藓植物多样性, 比较了其物种组成特点及相似性。结果表明, 该区域共有苔藓植物64科140属344种, 包括苔类植物27科40属106种、藓类植物37科100属238种, 其中有5种为濒危物种。自然保护地内有60科120属270种, 保护地外有46科90属185种, 保护地内、外苔藓植物科、属、种的Jaccard相似性系数分别为0.66、0.50和0.32, 表明自然保护地内、外物种组成差异很大。与石台县和青阳县苔藓植物历史数据相比, 本研究新增苔藓植物14科64属273种, 其中包括安徽省新记录2科9属96种, 而且有18种仅分布于自然保护地外。根据对该区域物种累积曲线及外推估计分析, 当采集足够充分时, 基于标本数的物种多样性预测值为485种, 基于样线数的预测值为563种, 说明石台县和青阳县的苔藓植物多样性仍存在被低估的可能。本研究结果一方面表明了自然保护地之外的苔藓植物在保护中有重要价值, 另一方面也反映了苔藓植物的野外就地保护存在空缺。建议在我国其他生物多样性保护优先区域开展类似的调查和研究, 以期为今后对苔藓植物的分布规律及保护研究提供翔实的基础数据。     

Biodiversity Hotspots and Conservation Priorities in the Campo-Ma’an Rain Forests,Cameroon

Until recently, patterns of species richness and endemism were based on an intuitive interpretation of distribution maps with very limited numerical analyses. Such maps based solely on taxonomic collections tend to concentrate on collecting efforts more than biodiversity hotspots, since often the highest diversity is found in well-collected areas. During the last decades, there has been an overwhelming concern about the loss of tropical forest biological diversity, and an emphasis on the identification of biodiversity hotspots in an attempt to optimise conservation strategies. Furthermore, the concept of sites of high diversity, or hotspots, has attracted the attention of conservationists as a tool for conservation priority settings. With the development of GIS tools, geostatistics, phytosociological and multivariate analysis software packages, more rigorous numerical analyses of distributional and inventory data can be used for assessing conservation priorities. In the Campo-Ma’an rain forest, inventory data from 147 plots of 0.1 ha each and 7137 taxonomic collections were used to examine the distribution and convergence patterns of strict and narrow endemic species. We analysed the trends in endemic and rare species recorded, using quantitative conservation indices such as Genetic Heat Index (GHI) and Pioneer Index (PI), together with geostatistic techniques that help to evaluate and identify potential areas of high conservation priority. The results showed that the Campo-Ma’an area is characterised by a rich and diverse flora with 114 endemic plant species, of which 29 are restricted to the area, 29 also occur in southwestern Cameroon, and 56 others that are also found in other parts of Cameroon. Although most of the forest types rich in strict and narrow endemic species occur in the National Park, there are other biodiversity hotspots in the coastal zone and in areas such as Mont d’Eléphant and Massif des Mamelles that are located outside the National Park. Unfortunately, these areas, supporting 17 strict endemic species that are not found in the park, are under serious threat and do not have any conservation status for the moment. Taking into consideration that with the growing human population density, pressure on these hotspots will increase in the near future, it is suggested that priority be given to the conservation of these areas and that a separate management strategy be developed to ensure their protection.     

Distribution patterns of threatened endemic plants in Turkey: A quantitative approach for conservation

Documenting the basic patterns of biodiversity and accurately determining the priority areas are the first steps for conservation studies. Threatened species and IUCN (International Union for Conservation of Nature) Red Lists are among the widely used tools to identify protected areas. Turkey is one of the most important biodiversity centres in the world. The plant diversity of Turkey with over 30% endemic species of approximately 12000 natural vascular plant taxa is well documented through use of a Grid System. However, Turkey has suffered heavy anthropogenic effects having been a settlement for many civilisations throughout the history of humankind. Therefore, Turkey needs a quantitative evaluation of the importance of different grid squares for conserving plant diversity. This paper offers a quantitative approach for aiding the identification of priority areas for biodiversity conservation by analysing the threatened plants in each grid square in terms of endemism, risk categories and distribution characteristics. The grid squares (nearly 220 x 170 km²) were then classified within four different groups in terms of their conservation importance. This national-level information can be used for further research and decision-making processes for conservation planning.     

Overlooked Mountain Rock Pools in Deserts Are Critical Local Hotspots of Biodiversity

BackgroundThe world is undergoing exceptional biodiversity loss. Most conservation efforts target biodiversity hotspots at large scales. Such approach overlooks small-sized local hotspots, which may be rich in endemic and highly threatened species. We explore the importance of mountain rock pools (gueltas) as local biodiversity hotspots in the Sahara-Sahel. Specifically, we considered how many vertebrates (total and endemics) use gueltas, what factors predict species richness, and which gueltas are of most priority for conservation. We expected to provide management recommendations, improve local biodiversity conservation, and simultaneously contribute with a framework for future enhancement of local communities’ economy. The identification of local hotspots of biodiversity is important for revaluating global conservation priorities.Conclusion/SignificanceGueltas are crucial for local biodiversity conservation and human activities. They require urgent management plans in Mauritania’s mountains. They could provide refugia under climate change being important for long-term conservation of Sahara-Sahel biodiversity. Given their disproportional importance in relation to their size, they are local hotspots of biodiversity deserving global attention.     

Determination of priority nature conservation areas and human disturbances in the Yangtze River Basin,China

Because of limitation of manpower, funding, and land available in conservation, the problem of how to select essential regions to establish protection systems for biodiversity maintenance has been widely discussed. In an effort to address the problem, this study has aimed to select a set of priority areas and to determine their priority order by quantifying human disturbances for each area in the Yangtze River Basin (YRB). This basin covers 2.143 million km², or more than 20% of China's territory. The habitats of 627 indicator species were predicted as a proxy for biodiversity. A conservation planning tool, MARXAN, was used to determine the optimal set of planning units, and three different target scenarios were generated. In addition, under the assumption that if two areas have equal value for conservation, the one suffering more severe disturbance needs more urgent protection than the other, priority ranking analysis was carried out using a 6-12-1 BP artificial neural network. Then hierarchical cluster analysis was applied to the classifications of human disturbances to formulate more detailed conservation strategies. By integrating the degree of irreplaceability of each unit, expert experience, and mountain boundaries, 17 biodiversity priority areas containing 33,200 units over an area of 0.83 million km² were defined. These areas also protected 56% of 32 types of rare forest ecosystem and 76.4% of six types of rare grassland ecosystem on average. According to the evaluation of human impact, a priority order and five types of human disturbance areas were generated. Some protection gaps were also identified, such as the northern part of the Wuyi Mountains. Moreover, the determination of priority nature conservation areas on a large scale can be used to influence the building of a well-connected protection network in each individual area, so that effective genetic communication can occur between species or groups of species. Conservation decisions focusing on the dominant impact factors that are threatening biodiversity sustainability are required as well.