黄淮海地区湿地系统生物多样性保护格局构建

以黄淮海地区为研究对象,首先分析了区域现有湿地保护状况,再基于湿地类型、保护状况和目标保护物种分布,综合考虑GDP、人口密度等社会经济因素,以湿地生物多样性保护为目标,运用系统保护规划的理论和方法,以Marxan作为空间优化模型,进行多目标的湿地系统保护预案设计,构建区域湿地不同保护水平的保护空缺和不可替代性格局,确定合理的湿地系统保护格局。研究结果表明:现有的湿地保护体系仅覆盖了区域17%左右的湿地,尚有许多重要生境游离于现有保护区系统外。为完善黄淮海地区湿地保护体系,需要对黄海海区域内28个保护区进行功能区划调整或者保护等级提升,并在山东(5个县)和河北(4个县),河南、江苏和安徽(各3个县),北京和天津(各1个县)等20个县市内建立新的保护区,与现有湿地保护系统有机整合,最终形成一个黄淮海地区湿地生物保护网络合理格局。结果表明:同其他相关研究方法对比,系统保护规划方法在区域大尺度生物多样性保护方面更具有意义;同时也表明该方法在中国的应用前景广阔。     

基于系统保护规划的三江平原湿地保护网络体系优化

综合三江平原湿地不同层次、不同维度的生物多样性特征,在系统保护规划方法(Systematic Conservation Planning,SCP)框架下,以集水区为规划单元,计算研究区域不可替代性指数,确定高保护价值网络体系,通过保护空缺分析对现有保护网络进行优化,并评估优化体系的有效性。结果表明:三江平原湿地高保护价值区域的分布呈现沿河流分布的特点;现有保护区中湖泊和目标物种的保护状态比较好;保护网络体系优化后,沼泽湿地在保护网络中的比重由22.88%重增加到50%以上;河流湿地由16.20%增加到33.92%;地下水资源在现有保护网络中的比重非常低,仅为2.01%,优化后保护网络中保护比重增加到12.05%,因此在今后的保护区规划中,应该重视对地下水资源的保护和管理。另外本研究结合生态脆弱性对高保护价值的空缺设计3个情景方案,并根据生态威胁的种类和强度提出各优先保护方案的保护建议,为保护管理决策提供依据。     

基于系统保护规划的海河流域湿地保护优先格局与保护空缺识别

以海河流域为研究对象,依托系统保护规划的理论、方法和技术手段,建立气候-地貌-湿地生态地理综合分类单元,并将此单元作为宏观尺度湿地生物多样性的替代单元,同时以湿地水鸟作为物种尺度的指示物种,综合考虑道路、居民点等社会因素,确定了海河流域湿地保护优先格局及保护空缺。研究结果表明：湿地结构上,现有保护体系中仅滨海湿地受保护比例较高,经系统保护规划优后,湿地保护比例可达28.55%,保护面积达36.55 km²;在空间分布上,仅徒骇马颊河水系目前得到较好的保护,建议对滦河及冀东沿海区域及海河流域南北水系通过设立保护小区和建立湿地公园等方式加强保护。研究结果可为海河流域湿地保护体系调整提供参考,为湿地、非湿地生态系统的整合优化提供有益启示。     

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。     

基于系统保护规划的黄河流域湿地优先保护格局

黄河流域湿地为我国生物多样性维持提供了重要生境.本研究基于黄河流域气候分区、地貌单元及湿地遥感数据,构建黄河流域生态地理综合湿地分类系统.在系统保护规划理论框架下,将湿地气候-地貌分类单元作为生态系统层次保护对象,结合黄河流域鸟类分布范围作为物种层次的保护对象,设定30%湿地优化目标,将公路、铁路、城镇、农村居民点、水坝等作为度量因子创建黄河流域保护代价图层,并利用系统保护规划工具--Marxan软件构建黄河流域湿地保护优化格局,识别湿地保护空缺.结果表明: 黄河流域大部分沼泽湿地集中在黄河上游区域,目前源区保护区覆盖面积大,在内蒙古、甘肃及四川部分区域一些稀有湿地类型游离在保护体系外;黄河中游湿地类型以河道和河滩湿地类型为主,保护覆盖率极低,保护空缺严重,经优化保护网络体系后,保护成效可分别得到29.1%、37.6%的提升.黄河下游湿地主要集中在黄河三角洲区域,目前保护体系完整,保护空缺面积极小.总体上,黄河流域中游河流湿地的保护空缺比例最高,亟需重视.本研究基于湿地保护格局优化结果分区分析黄河流域湿地保护模式,为黄河流域湿地的保护规划管理提供了科学性建议,从宏观层面上为黄河流域水生态保护奠定了基石.     

长江中游生态区湿地保护空缺分析及其保护网络构建

构建了综合反映长江中游生态区地形、植被与地表覆盖特征的GIS综合空间数据库,在对长江中游生态区核心湿地保护物种,即白鹤（Grusleucogeranus）、东方白鹳（Ciconiaboyciana）、小白额雁（Anser erythropus）、中华秋沙鸭（Mergus squamatus）分布范围和生境需求分析基础上,建立了反映物种分布与GIS数据库中生态地理因子关联的生境适宜性单元,从而确定了核心物种分布的潜在生境,对照现有保护区分布格局,找到了区域湿地生境保护的薄弱和空缺区域（Gaps）,评价了现有保护区系统对潜在生境保护的有效性。基于Gap分析结果和现有保护区分布格局,进一步考虑保护网络的整体性和连通性以及保护成本,构建了长江中游湿地保护区生物保护网络的合理格局。研究结果表明：长江中游生态区核心物种潜在生境涉及134个县（市）级单元,而目前长江中游湿地保护网络仅覆盖了23．49％的潜在生境,仍有大量潜在生境游离于现有保护区系统外。为完善长江中游生态区湿地保护网络,应在湖北（13县）、安徽（8县）和江西（1县）所属22个县域内建立新的湿地保护区或保护小区,并与现有湿地保护系统有机整合,最终才能形成较为完善的由45个县级单元构成的的长江中游生态区湿地生物保护网络合理格局,并保护80％以上核心物种的潜在生境。本研究同时也表明基于GIS生态地理空间数据库和生境适宜性单元概念进行大尺度生境分析具有一定可行性和应用价值。     

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.     

海南岛生物多样性保护优先区评价与系统保护规划

选择海南岛140个濒危物种为指示物种,在物种栖息地评价的基础上,利用系统保护规划工具MARXAN模型进行迭代运算,提出了海南岛生物多样性保护优先区域,并对保护优先区进行评价.结果表明:海南岛保护优先区面积5383.7km2,占海南岛陆地面积的15.6%,集中分布于鹦哥岭、尖峰岭、五指山等林区和北部湿地;在保护优先区中,11个I级指示物种栖息地的保护比例均超过各自栖息地总面积的65%.通过对保护优先区与现有自然保护区的空缺分析,建议扩充尖峰岭保护区群、鹦哥岭-黎母山保护区群、五指山-吊罗山保护区群;新建抱龙林场-林鼻岭-福万岭保护体系;在海南岛北部建立以水源保护为主,同时兼顾珍稀物种保护的水源地保护带.     

黄淮海地区跨流域湿地生态系统保护网络体系优化

运用系统保护规划方法,以集水区为保护规划单元,综合考虑三维(3D)连接性(横向、纵向、垂向)和跨流域调水工程,通过不可替代性分析和保护空缺识别,对黄淮海地区跨流域湿地生态系统保护网络体系优化进行研究,并通过与已有保护体系对比,评估了优化体系的效用.结果表明： 依据不可替代性大小和连接性原则,湿地保护空缺可分为优先保护空缺和一般保护空缺;黄淮海地区湿地生态系统保护体系经过优化后,湿地保护状况整体上有较大改观,其中所有湿地类型受保护比重由初始的20%左右增长到46.8%,且各湿地类型保护状况都有不同程度的改善,优化体系中的受保护比重大多在40%以上.无论是从近期还是长远来看,湖泊湿地保护都应给予较多关注.生态系统服务价值和生物多样性相整合、保护和恢复相结合是未来湿地生态系统保护规划研究中应关注的方面.     

大兴安岭地区重点保护和珍稀动物保护空缺分析

大兴安岭地区是我国唯一的寒温带针叶林生态区, 具有全球重要性和特殊的自然保护价值。本研究针对该地区重点保护及珍稀动物未全部纳入保护地范围以及保护地分布破碎化的现状, 在建立物种信息数据库的基础上, 生成该地区重点保护及珍稀动物10 km × 10 km物种空间分布数据, 并结合土地利用、植被覆盖、海拔和坡度等与栖息地相关的辅助数据, 分析重点保护及珍稀动物的现有空间分布格局, 以Shannon-Wiener多样性指数作为重点保护和珍稀动物的丰富度指标, 通过将现有保护地范围与物种空间分布进行叠加, 得到重点保护及珍稀动物的保护空缺。结果显示: (1)现有空缺区域内濒危、易危和近危物种均有分布, 主要保护空缺对象有黑嘴松鸡(Tetrao parvirostris)、紫貂(Martes zibellina)、小天鹅(Cygnus columbianus)等; (2)保护程度较高的区域主要位于额尔古纳市北部和呼玛县西部等地。尽管重点保护和珍稀动物的空间分布与现有保护地范围基本匹配, 但不同地理空间仍存在不同程度的保护空缺; (3)保护空缺主要有两种类型, 即尚未受到保护的空白地区和未被完全纳入现有保护地的空缺地。基于以上结果, 建议针对两类不同的保护空缺采取不同的保护措施, 如对于根河市与牙克石市交界处未建立保护地的保护空白区, 建议新建保护区或保护小区; 对于重点保护和珍稀动物未被完全纳入现有保护地体系的区域, 如内蒙古阿尔山自然保护区北部外延的空缺地, 建议通过对现有保护地进行相应程度的扩建, 完善现有保护地体系, 从而促进大兴安岭地区重点保护及珍稀动物的保护进程。     

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。     

Reserve network planning for fishes in the middle and lower Yangtze River basin by systematic conservation approaches

Although China has established more than 600 wetland nature reserves, conservation gaps still exist for many species, especially for freshwater fishes. Underlying this problem is the fact that top-level planning is missing in the construction of nature reserves. To promote the development of nature reserves for fishes, this study took the middle and lower reaches of the Yangtze River basin (MLYRB) as an example to carry out top-level reserve network planning for fishes using approaches of systematic conservation planning. Typical fish species living in freshwater habitats were defined and considered in the planning. Based on sample data collected from large quantities of literatures, continuous distribution patterns of 142 fishes were obtained with species distribution modeling and subsequent processing, and the distributions of another eleven species were artificially designated. With the distribution pattern of species, Marxan was used to carry out conservation planning. To obtain ideal solutions with representativeness, persistence, and efficiency, parameters were set with careful consideration regarding existing wetland reserves, human disturbances, hydrological connectivity, and representation targets of species. Marxan produced the selection frequency of planning units (PUs) and a best solution. Selection frequency indicates the relative protection importance of a PU. The best solution is a representative of ideal fish reserve networks. Both of the PUs with high selection frequency and those in the best solution have low proportions included in existing wetland nature reserves, suggesting that there are significant conservation gaps for fish species in MLYRB. The best solution could serve as a reference for establishing a fish reserve network in the MLYRB. There is great flexibility for replacing selected PUs in the solution, and such flexibility facilitates the implementation of the solution in reality in case of unexpected obstacles. Further, we suggested adopting a freshwater management framework in the implementation of such solution.     

BIODIVERSITY PATTERN AND CONSERVATION OF AQUATIC VASCULAR PLANTS IN THE YANGTZE RIVER BASIN,CHINA北大核心CSCD

The Yangtze River is the largest river in China. It is a priority conservation area for biodiversity of the world, with its main river, branches and wetlands. As an essential part of freshwater ecosystem, aquatic vegetation has been well studied by Chinese researchers since 1950s, but large-scaled analysis on the biodiversity pattern is lacked. Based on published studies, we analyzed spatial and temporal pattern of aquatic plant diversity in the Yangtze River Basin, and calculated the suitable habitat area and underlying influence of environmental factors using MaxEnt software. A total of 298 species are recognized, belonging to 121 genera in 52 families, which is 57.6% of the total aquatic vascular plants in China. The Yangtze River Basin is the key area for aquatic plant diversity of China, especially the subregions of middle reaches. The elevation and land use are the key environmental variables to the spatial pattern of aquatic plants. The separation among water systems have weak influence on the spatial pattern of diversity in aquatic vascular plants, but potamo-lacustrine habitats facilitated the species homogenization of the flora in a sub-basin scale. The network consists of Poyang Lake, Dongting Lake, Tai Lake, and the middle and lower mainstream is the suitable area for the aquatic plants based on the MaxEnt model. In the past half century, the decline or loss of aquatic vegetation occurred in plenty of lakes in the Yangtze River Basin. We suggested that the protection of aquatic vegetation should be incorporated into the integrated conservation of the middle and lower Yangtze River. © 2019, Institute of Hydrobiology, Chinese Academy of Sciences. All rights reserved.     

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.     

Using prioritisation tools to strategically restore vegetation communities in fragmented agricultural landscapes

Restoring native habitats in heavily cleared and fragmented areas such as agricultural landscapes is important to maintain and increase remaining native floral and faunal communities. Identifying priority vegetation types for restoration – as well as the parcels of land where this restoration could take place at a landscape scale – may assist in strategically protecting these biodiversity assets. To prioritise the restoration of terrestrial habitats around an ecologically and culturally significant Ramsar‐listed wetland in South Australia, we used the spatial prioritisation tool Marxan. Originally designed for prioritising the protection of reserve areas, Marxan can also be used to identify parcels of land for restoration purposes. We tested how Marxan prioritised the restoration of four distinct vegetation types around the Coorong and Lower Lakes region of South Australia using the inverse of habitat remnancy as a cost and soil type and distance to ecologically significant bird species as a conservation feature. By prioritising restoration activities around certain landscape features, such as remnant areas, our results indicate that we would be able to strategically restore parcels of native habitat that would maximise biodiversity outcomes. This study highlights the need for robust input data, such as priority vegetation types and bird species associated with these habitats, to ensure informative modelling outputs. It also suggests that other measures, such as the cost of different land types, should be included in future restoration planning. Finally, we illustrate how prioritisation tools such as Marxan can be used by natural resource managers to restore areas within fragmented agricultural landscapes.     

Ecosystem Services and Opportunity Costs Shift Spatial Priorities for Conserving Forest Biodiversity

Inclusion of spatially explicit information on ecosystem services in conservation planning is a fairly new practice. This study analyses how the incorporation of ecosystem services as conservation features can affect conservation of forest biodiversity and how different opportunity cost constraints can change spatial priorities for conservation. We created spatially explicit cost-effective conservation scenarios for 59 forest biodiversity features and five ecosystem services in the county of Telemark (Norway) with the help of the heuristic optimisation planning software, Marxan with Zones. We combined a mix of conservation instruments where forestry is either completely (non-use zone) or partially restricted (partial use zone). Opportunity costs were measured in terms of foregone timber harvest, an important provisioning service in Telemark. Including a number of ecosystem services shifted priority conservation sites compared to a case where only biodiversity was considered, and increased the area of both the partial (+36.2%) and the non-use zone (+3.2%). Furthermore, opportunity costs increased (+6.6%), which suggests that ecosystem services may not be a side-benefit of biodiversity conservation in this area. Opportunity cost levels were systematically changed to analyse their effect on spatial conservation priorities. Conservation of biodiversity and ecosystem services trades off against timber harvest. Currently designated nature reserves and landscape protection areas achieve a very low proportion (9.1%) of the conservation targets we set in our scenario, which illustrates the high importance given to timber production at present. A trade-off curve indicated that large marginal increases in conservation target achievement are possible when the budget for conservation is increased. Forty percent of the maximum hypothetical opportunity costs would yield an average conservation target achievement of 79%.