最优化设计连续的自然保护区

生境破碎是导致生物多样性损失的重要原因之一,避免生境破碎的一个有效方式是建立连续的自然保护区使物种可在保护区内自由移动。不加选择地把大片土地都转为保护区是实现连续的一个途径,但资源是有限的,应当以最优的方式分配。如何最优化设计生态上和经济上都有效的保护区成为生物保护领域一个重要议题。从一组备选地块中选择一部分组成自然保护区,这样的问题主要有两种解法:启发式方法和最优化方法。启发式方法虽然灵活且运算速度快但不能保证最优解因而可能导致稀缺资源的浪费,最优化方法保证得到的解是最优的但建模和运算存在困难。建立一个线性整数规划模型用于设计一个最小的连续保护区,用Dantzig剪切法消除循环确保形成一个连续的树,对应一个连续的保护区,检验了模型的计算效率。结果显示,模型可在合理时间内解决一个包含100个备选地块和30个物种的连续保护区设计问题,计算效率显著优于同类目的的其它方法。以美国伊利诺伊州Cache河流域11种濒危鸟类的保护区设计为例说明了该方法的应用,设计了两种情况下连续的保护区。讨论了模型的局限和数据问题。     

基于空间生态集合覆盖模型的自学习禁忌搜索算法在保护区空间选址中的应用——以戴云山为例

自然保护区规划是保护生物多样性的有效方式.传统保护区规划方法只能识别物种保护的重点区域,无法科学确定保护区的适宜面积.地块选择方法基于数学模型,从规划区域中选择部分地块组成自然保护区,保护特定物种或生态系统,是缓解生态保护与开发利用矛盾的重要手段.现有地块选择法未考虑各单元生态差异,且最优化算法存在计算效率的瓶颈.本文首先构建适用于森林生态系统的生态值赋分评价体系,据此计算戴云山生态值并绘制其分布图;然后,结合生态值建立生态集合覆盖模型(ESCP),并基于ESCP嵌入空间紧凑性提出空间生态集合覆盖模型(SSCP);最后,利用寻优性能良好的自学习禁忌搜索算法(STS)搜索各保护目标下的近似最优选址方案,给出福建省戴云山现有建成区优化方案.结果表明: 戴云山生态值计算结果在空间分布上存在明显差异;ESCP比原集合覆盖模型(SCP)能产生生态值更高的选址方案;SSCP在ESCP基础上对生态值较高区域有聚集作用,且周长权重越大,聚集效果越明显;建议现保护区可向外拓展136 km²,并将西北向分布长苞铁杉的地块纳入保护区范围.研究结果为实现戴云山保护区可持续发展及土地资源优化配置提供了优化方案,也可为我国森林生态系统类型的自然保护区设计提供新思路.     

两种自然保护区设计方法——数学建模和计算机模拟

传统的自然保护区设计方法是打分法和Gap分析法,这两种方法简单易行但可靠性不高;地理信息系统(GIS)在保护区设计领域的应用也为人熟悉.关注近年来快速发展而国内使用不多的两种方法——数学建模和计算机模拟.数学建模主要用来从一组备选地块中选择一部分组成自然保护区,包括线性和非线性模型,用启发式算法或最优化算法求解.启发式算法具有速度快、灵活等优点,但解通常不是最优的,不能保证稀缺资源的最优化利用.最优化算法运算效率低,变量较多比如数百时就可能遇到计算困难,但解是最优的.预计两种算法都将继续发展.计算机模拟主要用于保护区评价、功能区划分、预测特定环境比如空间特征和气候变化对物种的影响等,多用启发式算法,与其它软件结合把结果以图画显示出来.两种方法特别是计算机模拟均要求保护区设计者有较强的专业知识.讨论了两种方法面临的问题和新的研究方向,至少包括:1)基础数据依然需要完善;2)一些新的因素比如动态性和不确定性如何在模型中考虑并与其它因素结合;3)气候变化预景下模拟参数如何评估和调整;4)如何协调保护与发展的关系;5)方法的实际应用需要研究者与决策者之间建立交流机制;6)多领域专家和相关利益方应有机会参与保护区设计.     

用原图-对偶图法设计内部间隔最小的自然保护区

生境破碎是导致生物多样性损失的重要原因之一,在设计自然保护区时设法减少生境破碎是提高保护区有效性的重要方法.由于经济资源或地理因素制约不可能把连续的大片土地都划为保护区时,设计一个由相互分离的几部分组成的保护区是更为现实的做法.选择地块组成内部间隔最小的保护区是减少破碎化的一个重要途径,但结合空间特征的保护区地块选择模...     

西南地区生物多样性保护优先格局评估

选择831种西南地区重要保护物种为指示物种,分析指示物种空间分布特征,基于系统保护规划理论应用MARXAN模型评估西南生物多样性保护优先格局,确定优先保护区域,在最小保护成本条件下达到最优化的保护效果。结果表明:生物多样性保护优先区面积89.88×10~4km~2,占西南研究区面积的37%;保护优先区内除鸟类外其他类别栖息地面积均超过各自栖息地面积50%,其中94%指示物种栖息地面积比例超过60%;GAP分析发现,保护优先区同国家级自然保护区存在空间分布不匹配的现象;建议在原有国家级自然保护区基础上优先扩充保护区范围,并借助国家公园建设等政策适当建立新的自然保护体系。     

海南岛东寨港国家级自然保护区鸟类组成和区系的研究

报道了东寨港红树林自然保护区鸟类资源的调查,记录了该保护区鸟类１１８种,隶属１３目３５科,其中有５９种属冬候鸟,５７种属留鸟和２种属夏候鸟。根据中国动物地理区,东寨港保护区有６０种鸟类属古北界物种、４３种是东洋界物种和１５种是广布种。还分析了该保护区鸟类组成区系和鸟类生态群的特征。     

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。     

基于物种分布的森林生态系统类型自然保护区功能区划评价——以河南连康山国家级自然保护区为例

森林生态系统类型自然保护区是我国最主要的自然保护区类型,该类型自然保护区通常具有复杂多样的保护对象,因此对其进行功能区划需全面考虑各种保护对象的需求。评价森林生态系统类型的自然保护区功能区划有利于提高自然保护区的保护有效性。以属于森林生态系统类型自然保护区的河南连康山国家级自然保护区功能区划为研究对象,于2016年12月至2018年12月在该自然保护区内进行样线和红外相机调查,获取白冠长尾雉及与白冠长尾雉存在种间相互作用物种的分布点数据,结合收集的环境数据,采用MaxEnt模型对白冠长尾雉（Syrmaticus reevesii）和与白冠长尾雉存在种间相互作用物种的分布进行预测,进而分析物种与该自然保护区功能区划的空间关系,及自然保护区内野生动物分布与人为干扰强度的空间关系,评估连康山国家级自然保护区现有功能区划对白冠长尾雉和与白冠长尾雉存在种间相互作用物种的保护有效性。结果表明,保护区内高保护价值区域面积为33.84 km²,核心区、缓冲区和实验区内高保护价值区域面积分别占保护区总面积的18.96%、3.84%和9.19%,自然保护区内高保护价值区域面积比例偏低。保护区现有功能区划并不能充分满足保护白冠长尾雉栖息地的需要,且核心区、缓冲区和实验区面临不同程度的人为干扰的影响,这对保护区内重点保护对象的生存产生潜在威胁。因此,结合保护区内保护价值与人为干扰分布现状,针对白冠长尾雉及相关物种的受胁情况提出两种不同的保护区功能区划优化方案,在不降低连康山国家级自然保护区面积的前提下,提高核心保护区白冠长尾雉及相关物种适宜栖息地面积的比例,同时降低保护区内人为干扰强度。本研究可为该保护区保护白冠长尾雉提供决策依据,并为其他以野生动物为保护目标的保护区功能区划优化提供指导方法。     

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。     

华北地区国家级自然保护区对药用维管植物的保护状况

开展已有就地保护体系对生物多样性的保护现状评估有利于科学指导下一步保护规划工作.本研究收集华北地区46个国家级自然保护区的科学考察报告、多样性研究报告及其他相关文献资料,整理构建了华北地区药用维管植物保护名录数据库,并利用此数据库分析了该地区药用维管植物的就地保护状况.结果发现:华北地区国家级自然保护区不同程度保护了2 364种药用维管植物,隶属于165科800属;其中,1710个物种(占总数的72.34％)受保护程度一般,分布的保护区数量少于10个,仅62个物种(占总数的2.62％)受到有效保护,分布的保护区数量大于30个;不同保护类型的保护区对药用维管植物所发挥的保护作用不同,森林生态类型保护区发挥的保护作用最大,保护了华北地区89.04％(2 105/2 364种)的药用维管植物.研究认为华北地区国家级自然保护区对该地区药用维管植物的就地保护发挥了重要作用,但现有保护状况可进一步完善,尤其应该重视森林生态类型保护区的建设工作以及珍稀濒危药用植物的保护规划.     

Designing connected nature reserve networks using a graph theory approach

Habitat fragmentation has been cited as one of the critical reasons for biodiversity loss. Establishing connected nature reserve networks is an effective way to reduce habit fragmentation. However, the resources devoted to nature reserves have always been scarce. Therefore it is important to allocate our scarce resources in an optimal way. The optimal design of a reserve network which is effective both ecologically and economically has become an important research topic in the reserve design literature. The problem of optimal selection of a subset from a larger group of potential habitat sites is solved using either heuristic or formal optimization methods. The heuristic methods, although flexible and computationally fast, can not guarantee the solution is optimal therefore may lead to scarce resources being used in an ineffective way. The formal optimization methods, on the other hand, guarantees the solution is optimal, but it has been argued that it would be difficult to model site selection process using optimization models, especially when spatial attributes of the reserve have to be taken into account. This paper presents a linear integer programming model for the design of a minimal connected reserve network using a graph theory approach. A connected tree is determined corresponding to a connected reserve. Computational performance of the model is tested using datasets randomly generated by the software GAMS. Results show that the model can solve a connected reserve design problem which includes 100 potential sites and 30 species in a reasonable period of time. As an empirical application, the model is applied to the protection of endangered and threatened bird species in the Cache River basin area in Illinois, US. Two connected reserve networks are determined for 13 bird species.     

Designing connected nature reserve networks using a graph theory approach

Habitat fragmentation has been cited as one of the critical reasons for biodiversity loss. Establishing connected nature reserve networks is an effective way to reduce habit fragmentation. However, the resources devoted to nature reserves have always been scarce. Therefore it is important to allocate our scarce resources in an optimal way. The optimal design of a reserve network which is effective both ecologically and economically has become an important research topic in the reserve design literature. The problem of optimal selection of a subset from a larger group of potential habitat sites is solved using either heuristic or formal optimization methods. The heuristic methods, although flexible and computationally fast, can not guarantee the solution is optimal therefore may lead to scarce resources being used in an ineffective way. The formal optimization methods, on the other hand, guarantees the solution is optimal, but it has been argued that it would be difficult to model site selection process using optimization models, especially when spatial attributes of the reserve have to be taken into account. This paper presents a linear integer programming model for the design of a minimal connected reserve network using a graph theory approach. A connected tree is determined corresponding to a connected reserve. Computational performance of the model is tested using datasets randomly generated by the software GAMS. Results show that the model can solve a connected reserve design problem which includes 100 potential sites and 30 species in a reasonable period of time. As an empirical application, the model is applied to the protection of endangered and threatened bird species in the Cache River basin area in Illinois, US. Two connected reserve networks are determined for 13 bird species.     

Reserve selection using nonlinear species distribution models

Reserve design is concerned with optimal selection of sites for new conservation areas. Spatial reserve design explicitly considers the spatial pattern of the proposed reserve network and the effects of that pattern on reserve cost and/or ability to maintain species there. The vast majority of reserve selection formulations have assumed a linear problem structure, which effectively means that the biological value of a potential reserve site does not depend on the pattern of selected cells. However, spatial population dynamics and autocorrelation cause the biological values of neighboring sites to be interdependent. Habitat degradation may have indirect negative effects on biodiversity in areas neighboring the degraded site as a result of, for example, negative edge effects or lower permeability for animal movement. In this study, I present a formulation and a spatial optimization algorithm for nonlinear reserve selection problems in grid-based landscapes that accounts for interdependent site values. The method is demonstrated using habitat maps and nonlinear habitat models for threatened birds in the Netherlands, and it is shown that near-optimal solutions are found for regions consisting of up to hundreds of thousands grid cells, a landscape size much larger than those commonly attempted even with linear reserve selection formulations.     

Designing a connected nature reserve using a network flow theory approach

Establishing nature conservation reserves is an effective and widely accepted practice to protect biodiversity. In order to promote the effectiveness and efficiency of the reserve, spatial attributes of the reserve should be considered. Connectedness (contiguity) is one of these important spatial attributes. Currently in the biological literature there are only a few formal/exact optimization approaches to endogenously designing a connected nature reserve. This article adds a new approach by adapting a spatial unit allocation model to the reserve design problem. Using concepts from network flow theory, the model defines a sink site from which no flow directs out and ensures contiguity by specifying the outflow and inflow relationship of the potential sites. Computational performance of the model is tested using hypothetical problems with various sizes including up to 400 potential sites. Results show that the time needed to solve the problem to optimality increases exponentially both as number of potential sites increases and as species distribution gets more sparse. An empirical application involving 80 potential sites and 15 bird species in part of Fox River watershed, Illinois USA is presented. Factors influencing an IP model’s computational performance and potential extensions of the model were discussed.     

The cost-effectiveness of using raptor nest sites to identify areas with high species richness of other taxa

Given the limited resources available for conservation, it is important that the areas to preserve are selected in a cost effective manner. However, the cost effectiveness of the surrogate species strategy (the use of information on one or more species to identify areas of value for other species for which there is no, or more limited, available information) has seldom been evaluated.In this study, we investigate the opportunity cost of setting aside breeding sites of two forest raptor species (the surrogate species) by evaluating their individual and combined contribution to preserve diversity of polypores (wood-decaying fungi) and birds against the contributions of previously established nature reserves. We use numeric optimization models to compare different reserve selection strategies.Site selection based on nest sites of the dominant raptor species was more cost-effective than strategies using sites of the subordinate species or those processes previously used to select nature reserves in Finland. The inclusion of both raptor species in the reserve selection model further improved its performance relative to other approaches. This indicates that the means by which Finnish reserves are selected could be enhanced by including the breeding sites of these, and maybe other species, among the criteria used to select reserves in the future.These results show that information on charismatic and well-surveyed species could be a cost-efficient add-on to help enhance conservation endeavours. Where there is inter-specific competition for biodiverse sites, and using multiple species is costly, basing reserve selection primarily on breeding sites of a dominant species may be the best strategy. However, further work is required to establish the extent to which dominant species are typically better indicators of conservation relevance.     

Priority areas for the conservation of subtropical indigenous forest in southern Africa: a case study from KwaZulu-Natal

Southern Africa's subtropical forest biome, though small and highly fragmented, supports much of the region's biodiversity. With limited resources available for conservation and the exploitative use of forest escalating, identifying a network of priority forest reserves is important. We examine the distribution of forest birds, butterflies and mammals in KwaZulu-Natal, South Africa. Using an iterative algorithm we explore the efficiency of existing protected areas, species richness and rarity hotspots, prime forest sites (selected by forest area) and complementary networks as alternative approaches to priority reserve selection, as well as the potential use of indicator taxa. Existing protected areas represent 98% of species but are relatively inefficient in terms of area. Alternative selection criteria represent a high proportion of species (86–92%) and provide efficient bases for developing fully representative reserve networks. All species are represented within a network of 22 complementary quarter degree cells. This network includes several larger forests and existing protected areas and is recommended for priority conservation. Complementary networks identified separately for birds, butterflies and mammals overlap little, but each represents a high proportion of the remaining taxa, supporting their potential as representative 'indicator' taxa. The evolutionary history of the three main forest types in KwaZulu-Natal explains observed spatial patterns of alternative reserve networks. Priority areas are concentrated in scarp and coastal forest belts, regions of comparatively recent evolutionary activity with high species richness. Afromontane forest is older and less diverse, but its inclusion in any reserve network is necessary for the full representation of forest diversity.     

Complementarity and other key criteria in the conservation of herb-rich forests in Finland

Complementarity of the nature reserve network in southernmost Finlandwas examined using a simple heuristic algorithm and occurrence data of 75characteristic herb-rich forest vascular plant species in 126 protected and 120non-protected sites. Three different minimum sets were selected to represent 1,5, or 10 occurrences of each species. In each minimum set there weresignificantly more protected than non-protected sites. Thus, although efficiencyis not maximal in the existing reserve network, the network does provide arepresentative basis for the conservation of herb-rich forest plants. However,some deficiencies were also noticed, particularly new reserves in floristicallydiverse herb-rich forests along watercourses would supplement the existingreserve network. On the other hand, the growing concern over the shortcomings ofreserve selection studies using presence/absence data is echoed here, becausemany of the protected forests not included in the minimum sets harbour importantnature conservation values. With regard to the five biological reserve selectioncriteria (e.g. occurrences of threatened species) considered here, theperformance of the existing reserve network is rather good. However, examinationof five reserve design criteria revealed some deficiencies, particularlyvulnerability of many reserves to potential edge effects.     

Maximizing species conservation in continental Ecuador: a case of systematic conservation planning for biodiverse regions

Ecuador has the largest number of species by area worldwide, but also a low representation of species within its protected areas. Here, we applied systematic conservation planning to identify potential areas for conservation in continental Ecuador, with the aim of increasing the representation of terrestrial species diversity in the protected area network. We selected 809 terrestrial species (amphibians, birds, mammals, and plants), for which distributions were estimated via species distribution models (SDMs), using Maxent. For each species we established conservation goals based on conservation priorities, and estimated new potential protected areas using Marxan conservation planning software. For each selected area, we determined their conservation priority and feasibility of establishment, two important aspects in the decision-making processes. We found that according to our conservation goals, the current protected area network contains large conservation gaps. Potential areas for conservation almost double the surface area of currently protected areas. Most of the newly proposed areas are located in the Coast, a region with large conservation gaps and irreversible changes in land use. The most feasible areas for conservation were found in the Amazon and Andes regions, which encompass more undisturbed habitats, and already harbor most of the current reserves. Our study allows defining a viable strategy for preserving Ecuador''s biodiversity, by combining SDMs, GIS-based decision-support software, and priority and feasibility assessments of the selected areas. This approach is useful for complementing protected area networks in countries with great biodiversity, insufficient biological information, and limited resources for conservation.