评估不同尺度下农牧地对滇金丝猴景观连接度的影响

基于图论法原理,综合最小费用距离和猴群的最小家域,建立了滇金丝猴栖息地的潜在扩散廊道及廊道缓冲区。在此区域内,根据遗传距离与栖息地连接最小费用距离的相关性,确定了5个不同管理单元间猴群可能扩散的阈值,并根据此阈值计算获得可能连通性指数(PC)去评估不同尺度下农牧地对滇金丝猴栖息地景观连接度的影响。结果表明:在距离为2.15km的廊道缓冲区范围内,5个不同管理单元间猴群可能扩散的最小费用距离阈值为1600,在两个斑块之间的费用距离小于或等于1600时,两个斑块能够连接,猴群可能在这两个斑块进行扩散,超过费用距离1600时,两个斑块不再连接,即猴群在这两个斑块间不会扩散。景观尺度下,PC指数逐渐增加,意味着未来4种不同的农牧地改善情景(C1,C2,C3,C4)都将促进景观连接度的增加;在斑块尺度下,通过确定出的最佳距离阈值,将整个研究区域分成不同的组分,小于或等于阈值的相邻斑块被划分在同一个组分中,大于阈值则不在一个组分中,研究区域中的5个不同管理单元间的猴群被划分在3个不同的组分中,情景C1,C2中组分数量没有变化,意味着连接度没有发生改变,但在情景C3,C4中,组分数量减少,并与相邻的组分融为一个组分,意味着连接度发生改变,滇金丝猴的活动范围扩大,更有利于猴群的基因交流。研究结果将为滇金丝猴栖息地的保护、未来廊道的恢复建设提供科学依据,同时也能为类似的研究提供方法上的参考。     

基于电路理论的滇金丝猴生境景观连通性分析

景观连通性对生态系统服务、动植物基因交流的保护以及景观规划等都具有重要影响作用。以滇金丝猴活动区域为研究对象,基于电路理论建立滇金丝猴栖息地的连接度模型,分析滇金丝猴栖息地间的连通性,对于连通性较好的区域,识别出了重点保护与恢复区域;对于连通性较差的区域,通过电路理论连接度模型确定了影响今后廊道建设的重点保护与恢复区域。结果表明:各区域内部猴群栖息地连通性较好,其中中部地区最优,其次是北部,最差为南部。G3和G4栖息地斑块作为对连接各区域猴群生境斑块起到关键作用的"踏脚石"斑块是今后重点保护与恢复的区域,保护和恢复南部与中部猴群栖息地间"空白区域"的植被对于整个滇金丝猴活动区域的猴群基因交流也尤为重要。方法上,相较于图论得到的单一路径,电路理论得到的多路径更具有现势性。研究方法及研究成果可为濒危物种保护和区域生态廊道设计提供重要参考价值。     

基于景观遗传学的滇金丝猴栖息地连接度分析

结合景观遗传学,应用最小费用距离模型对物种栖息地进行连接度分析,能够为生物多样性保护和自然保护区管理提供更加真实准确及可实践操作的指导。选取滇金丝猴这一珍稀濒危物种,结合景观遗传学,应用最小费用距离模型对其栖息地进行了连接度和潜在扩散廊道分析。并且通过连接度的分析和制图绘制出了更为准确的种群间潜在扩散廊道,确定了受人工障碍影响的廊道及敏感区域。结果表明,研究区内的5个亚群中,仅S3亚群内的5个猴群保持着较好的连接度,总体来说,各亚群内的连接度相对于各亚群间连接度保持的较好。除S3亚群中猴群间的潜在扩散廊道较为理想外,其余种群间的潜在扩散廊道均受人工斑块的影响,多数廊道被人工障碍阻断,或面临即将被阻断的情况,对于滇金丝猴的扩散交流影响较大。敏感区域多集中在中南部的3个亚群间,这些敏感区域应作为景观恢复及保护区规划的重要优先区域。     

天津滨海新区湿地景观连接度距离阈值研究

在应用景观连接度研究景观格局变化时,选择适宜的距离阈值是关键。适宜的距离阈值有利于识别景观中的关键斑块并及时发现连接脆弱的区域,对景观格局动态分析、生态恢复研究等均具有重要意义。以天津市滨海新区湿地生态系统为研究对象,将研究区域划分为不同的焦点景观,焦点景观是依据研究区域栖息候鸟的生境面积而划分的面积大小相同的区域,并通过ArcGIS中的泰森多边形分析实现,焦点景观分析可为面积更大、结构更加复杂的景观分析提供新的思路。文章选取斑块间链接数（NL）、组分数（NC）、等效连接面积指数（ECA）、景观巧合概率指数（LCP）来表征景观连接度,设定100、200、400、600、800、1000、1500、2000、3000、5000、8000 m共11个距离阈值,探讨不同距离阈值下各指数的变化规律,对比分析研究区域整体景观斑块和焦点景观内各斑块的连接度指数随距离阈值变化的异同,最终确定研究区域最佳距离阈值。结果表明：（1）各焦点景观内斑块的景观连接度指数随距离阈值的变化趋势与研究区域整体景观斑块相似且对应的最佳距离阈值相同;（2）天津市滨海新区湿地景观连接度距离阈值的适宜范围是400-800 m,该区间内进行景观格局分析研究能够较为真实的反映出研究区域实际景观状况;（3）通过进一步研究,最终确定400 m为天津滨海新区湿地景观连接度最佳距离阈值。研究结果可为天津市滨海新区湿地景观研究提供参考,在实际研究中距离阈值的选择可根据具体研究目标、研究层次需求等进行适当调整。     

基于景观连接度的森林景观恢复研究——以巩义市为例

景观连接度是研究景观促进或阻碍生物体或某种生态过程在斑块间运动的程度。基于景观连接度原理,借用景观连接度指数,在地理信息系统支持下,探讨了巩义市丘陵和低山地区森林景观在不同景观距离阈值下连接度的变化,确定了分析森林景观连接度的合适距离阈值。在此基础上分析了要恢复为森林景观的农业斑块的重要值的大小,确定了对要恢复为森林景观的每一农业景观斑块对新形成的森林景观的连接度贡献大小,并结合区域地形特征,明确了森林恢复之初的重要斑块的选取及恢复的先后次序。结果显示,在不同的距离阈值下,低山地区森林景观的整体连通性指数值(IIC)都大于丘陵地区森林景观的IIC值;森林景观的适宜距离阈值,在丘陵地区可选择750 m,在低山地区可选择500 m,或者更小尺度;通过农业景观斑块重要值(dIIC)确定的对森林景观连接度作用起"非常高"和"高"的斑块的数量非常少,但对森林景观连接度的贡献作用却比较大。提出的基于景观连接来分析在森林恢复时重要斑块的选取的方法,具有一定的可操作性与实用性,对区域生态恢复和生态建设具有重要意义。     

黑河中游生态用地景观连接性动态变化及距离阈值

景观连接度描述了景观组分在景观格局、过程和功能上的有机联系.本文利用1986、2000和2011年土地覆被数据,基于图论方法,研究了黑河中游生态用地(林地、草地、湿地)景观连接性动态变化,并通过分析不同阈值下景观连接度值的变化揭示了研究区景观的适宜阈值.结果表明: 黑河中游1986—2011年对景观连接度产生重要作用的生态斑块面积呈减少趋势.湿地斑块面积2000—2011年减少幅度较大;草地斑块数量先减少后增加,面积变化不大,但是有斑块破碎化的趋势.不同阈值下景观连接度值的变化验证了距离阈值的正向作用.400～800 m是研究黑河中游物种扩散和生态流运行的适宜距离阈值.选择600 m作为距离阈值时,大型斑块对区域总体景观连接水平影响最为显著,是区域生态系统稳定和健康的关键组成;小型生态斑块虽然占生态斑块总面积的比例不大,但对区域的生态安全格局的维持和改善有较大影响,亦需加强保护与管理.研究结果对干旱区生态系统管理具有重要的借鉴意义.     

基于最小费用模型的景观连接度评价

作为物种扩散的重要影响因子,景观连接度反映了景观促进或阻碍生物体在资源斑块间运动的程度,它也是区域土地可持续利用和生物保护领域的主要指标.最小费用模型起源于图论,其结合了景观中的详细地理信息和生物体的行为特征,通过费用距离分析可直观形象地描绘出物种在异质景观中的连接度,且可在GIS程序包中实现简便运算和适度的数据需求量,使其在大尺度景观连接度评价中受到广泛关注.本文结合当前的景观连接度研究,详细阐述了最小费用模型评价景观连接度的意义、原理及运算过程,并探讨了该模型应用中存在的问题,以期为进一步开展相关研究及生物多样性保护提供依据.     

基于景观连接度的土地整理生态效应评价

近年来,土地整理区的生物多样性保护和景观功能的维持受到广泛关注。本文选取贵州省道真县洛龙镇国家重点土地整理项目区,运用基于结构与功能相结合景观连接度模型(综合连接度(IIC)和连接度概率(PC)),计算了500、1000、2000、3000和4000m种群迁移扩散距离阈值情景下,土地整理前后各生境斑块对景观连接度的重要程度,识别重要斑块变化范围,从功能角度评价整理后的生态效应。结果表明:连接度指数能较好地识别土地整理前后各生境斑块的重要类别及其改变;其中,巨型斑块所占面积最大,分别占总面积的57.0%和57.2%;小型斑块数目整理前后分别占斑块总数的48.0%和48.9%;空间上,斑块的重要性分布也产生一定的变化。整理后生境斑块的连通性较整理前也有所下降,IIC和PC平均值分别为0.434和0.680,且随着距离阈值的增大,连接度逐渐增大。巨型斑块对生境斑块景观连通性的相对重要值最大,中型斑块和大型斑块次之,小型斑块最低。研究表明,土地整理过程中,大面积生境斑块和"踏脚石"斑块对维持土地整理生态效益具有重要作用。     

佛山市顺德中心城区城市绿地生态网络规划

以佛山市顺德区中心城区为研究样区,基于景观连通性定量评价方法确定绿地系统核心斑块,并采用最小费用路径法构建了绿地系统潜在的生态廊道,同时还对绿地生态网络各组分的景观格局特征进行了分析。结果表明:斑块连通性指数距离阈值设定为500m时能够合理反映各绿地斑块重要性程度,并以连通性指数重要值排序结果确定了20个绿地斑块作为绿地生态网络的核心斑块;通过最小费用路径法构建的研究区31条潜在生态廊道,符合绿地系统分布特征并能够较好地连通各绿地核心斑块;生态网络景观格局分析表明,生态廊道缓冲区内斑块类型较复杂,景观格局破碎化程度较高。     

基于图论的景观连接度量化方法应用研究——以福建省闽清县自然森林为例

气候变化和人类活动导致的自然生境丧失和生境片断化使全球生物多样性面临威胁,而有效缓解这类问题的手段之一是维持自然生境的景观连接度。图论分析法作为景观连接度研究的新途径成为研究领域热点,但仍然存在提高距离阈值取值的科学性、充分解读图论连接度指数等有待探究的问题。以闽清县自然森林为对象使用图论分析方法进行了景观连接度的量化研究,提出并使用了距离阈值综合取值方法,联合使用了多种景观连接度指数。研究结果表明,距离阈值综合取值方法能够提高取值的准确性并具有广泛适用性,二进制连接度指数与概率连接度指数能够从不同角度指示景观结构和斑块重要性格局。研究区域90%以上的景观连接度由主要景观组分维持,数量很少的极高重要值斑块数能够对整体连接度水平产生显著影响。面积越大的斑块重要性指数越高,但是极高重要值斑块的重要性指数并不完全取决于斑块面积,而更多的与斑块位置等因素相关。本研究进一步完善图论分析法在景观连接度研究方面的应用,对生物多样性保护工作具有参考价值。     

基于生境组团化分析与景观廊道模拟的南京市白鹭生境网络构建与优化

保持生境连通性是全球生物多样性保护面临的主要挑战之一。生境网络构建与优化是一种积极主动的景观策略,但其成效取决于异质性景观背景下生境分布格局与物种响应。以南京市为例、白鹭为目标物种,开展了基于生境组团化分析与景观廊道(LSCorridors)模拟的生境网络构建与优化研究。通过整合生境适宜性评价、干扰度评价、最大熵(MaxEnt)模型模拟,实现了物种生境源地综合识别;利用景观连通性指标与核密度分析,识别了物种生境分布的组团化格局;在最小成本路径(LCPs)的基础上,定义了优化新增型与提升型两类廊道,并从物种感知与适应性变化出发,应用LSCorridors软件模拟了这两类目标优化廊道的多重随机路径及其空间范围。结果表明,南京市白鹭生境斑块共计428个,总面积达31525.75 hm²,主要是林地与水域,具有较为明显的破碎化和局部集聚特征,九大生境组团以南京长江段水域斑块为轴,沿两侧分布,彼此联系比较薄弱;最佳距离阈值4.5 km内,识别LCPs共907条,总长度1548.59 km,平均较短、分布紧凑,主要位于各生境组团内部,但仅少数连接着不同生境组团;确定的8条优化新增型廊道和10条优化提升型廊道,其LSCorridors模拟结果与LCPs存在空间偏差,前者更符合现实进而有益于避免保护低效和促进多类型、差异化的优化措施制定。研究成果能为面向生物多样性保护的南京市生境网络保护以及重点生态廊道的规划实践提供决策参考。     

Landscape connectivity of the grassland biome in Mpumalanga,South Africa

The South African grassland biome is one of the most threatened biomes in South Africa. Approximately 45% of the grassland biome area is transformed, degraded or severely invaded by alien plants and the remaining natural areas are highly fragmented. In this fragmented landscape, the connectivity between habitat patches is very important to maintain viable populations. In this study we aimed to quantify connectivity of the grassland biome in Mpumalanga using graph theory in order to identify conservation priorities and to direct conservation efforts. Graph theory‐based connectivity indices have the ability to combine spatially explicit habitat data with species specific dispersal data and can quantify structural and functional connectivity over large landscapes. We used these indices to quantify the overall connectivity of the study area, to determine the influence of abandoned croplands on overall connectivity, and to identify the habitat patches and vegetation types most in need of maintaining overall connectivity. Natural areas were identified using 2008 land cover data for Mpumalanga. Connectivity within the grassland biome of Mpumalanga was analysed for grassland species with dispersal distances ranging from 50 to 1000 m. The grassland habitat patches were mostly well connected, with 99.6% of the total habitat area connected in a single component at a threshold distance of 1000 m. The inclusion of abandoned croplands resulted in a 33% increase in connectivity at a threshold distance of 500 m. The habitat patches most important for maintaining overall connectivity were the large patches of continuous habitat in the upper and lower centres of the study area and the most important vegetation types were the Wakkerstroom Montane Grassland and the Eastern Temperate Freshwater Wetlands. These results can be used to inform management decisions and reserve design to improve and maintain connectivity in this biome.     

Improving landscape connectivity for the Yunnan snub-nosed monkey through cropland reforestation using graph theory

Habitat fragmentation is a threat to biodiversity because it restricts the ability of animals to move. Maintaining landscape connectivity could promote connections between habitat patches, which is extremely important for the preservation of gene flow and population viability. This paper aims to evaluate the landscape connectivity of forest areas as it relates to the conservation of the Yunnan snub-nosed monkey (Rhinopithecus bieti), an emblematic and endemic endangered primate species. Specifically, this study seeks to model ways to improve connectivity via cropland reforestation scenarios which incorporate graph theory and genetic distances. The connectivity improvement assessment is performed at two nested scales. At the regional scale, the aim is to quantitatively assess the gain in connectivity from different reforestation scenarios, in which croplands are replaced by different kinds of forest habitats. At the local scale, the goal is to prioritize and to locate croplands based on the gain in connectivity that they would provide if they were reforested. The results indicate that the four reforestation scenarios have different impacts on connectivity; the fourth scenario, in which reforestation is accomplished with plant species that provide optimal monkey habitat, yields the greatest increase in connectivity (+24% versus less than +2% for the others). Prioritization of the 1482 cropland patches shows that the 10 best patches increase connectivity from 0.04% to 9.1% as the isolation threshold distance increases. This kind of graph theoretic approach appears to be a useful tool for connectivity assessment and the development of conservation measures for species impacted by human activities.     

Assessment of Habitat Fragmentation and Corridors for an Isolated Subspecies of the Sichuan Golden Snub-Nosed Monkey, <Emphasis Type="Italic">Rhinopithecus roxellana hubeiensis</Emphasis>

Understanding habitat quality and landscape connectivity and exploring corridors connecting habitat patches are crucial for conservation, particularly for species distributed among isolated populations. The Sichuan golden snub-nosed monkey, Rhinopithecus roxellana, is an Endangered primate species endemic to mountainous forests in China. Its easternmost distribution lies in the Shennongjia area, which harbors an isolated subspecies, R. roxellana hubeiensis. Unfortunately, it has experienced significant habitat loss, fragmentation, and dramatic population decline in recent decades, primarily due to increased human disturbance. To quantify habitat quality, identify suitable habitat patches, and detect possible linkages among these patches for R. roxellana hubeiensis, we conducted habitat suitability assessments and landscape connectivity analyses in the Shennongjia area based on a set of environmental factors. We created a habitat quality model and a movement cost surface for the Shennongjia area based on a habitat suitability index, graph theory, expert knowledge, field experience, and information from the literature. Our results show that suitable habitat for R. roxellana hubeiensis in Shennongjia is fragmented and limited, and that this is particularly true for highly suitable habitats. We detected six core habitat patches and six least-cost paths and corridors. Our study does not provide accurate distributions of the monkeys and their habitat use. However, it identifies the most feasible and traversable habitats and corridors, which should be conservation priorities for this subspecies, and provides valuable guidance for reevaluating habitat conservation plans.     

Landscape connectivity dynamics based on network analysis in the Xishuangbanna Nature Reserve,China

Lack of landscape connectivity and habitat loss is major threats to biodiversity and ecosystem integrity in nature reserves aimed at conservation. In this study, we used structural pattern and functional connectivity metrics to analyze the spatial patterns and landscape connectivity of habitat patches for the Shangyong sub-reserve of the Xishuangbanna Nature Reserve from 1970, 1990, and 2000. On the basis of vegetation and land cover data, we applied the equivalent connected area ECA(PC) indicator to analyze the changes in forest connectivity. Four distance thresholds (2, 4, 8, 12 km) were considered to compare the patch importance of connectivity by dECA values. The results showed the declining trends of landscape connectivity measured by ECA(PC) index from 1970 to 2000. The importance of connectivity in each forest patch varied with the increment of dispersal distances at the patch level, and some important habitat patches, which exhibit a potential to enhance landscape connectivity, should be given more attention. The least-cost pathways based on network structure were displayed under four dispersal distances in three periods. The results showed that the number of paths among the fragments of forest patches exhibited radical increases for larger dispersal distances. Further correlation analyses of AWF, ECA (IIC), and ECA (PC) showed the weakest and least-frequent correlations with the structural pattern indices, while H presented more significant correlations with the PD fragmentation metric. Furthermore, Kendall's rank correlations between the forest patch area and functional connectivity indicators showed that dECA (PC) and dAWF indicators should provided the area-based prioritization of habitat patches. Moreover, the low-rank correlations showed that dF and dLCP can be considered as effective and appropriate indicators for the evaluation of habitat features and network patterns.     

Identifying potential conservation areas in the Cuitzeo Lake basin,Mexico by multitemporal analysis of landscape connectivity

Lake Cuitzeo basin is an important ecological area subjected to strong human pressure on forest covers that are key elements for the long-term support of biodiversity. We studied landscape connectivity changes for the years 1975, 1996, 2000, 2003 and 2008 to identify potential conservation areas in the basin. We modeled potential distributions of the Mexican bobcat (Lynx rufus escuinapae) and the ringtail (Bassariscus astutus) – two terrestrial mammal focal species with contrasting dispersal capacities – and we determined their habitat availability and suitability in the basin. We then identified their optimal habitat patches and produced landscape cumulative resistance maps, estimated least-cost paths (graph theory approach), and elaborated current flow maps (circuit theory approach). For evaluation of landscape connectivity, we applied an integral index of connectivity (IIC) to each study period, and determined individual habitat patch contribution to the overall landscape connectivity. The IIC index had very low values associated with reduced availability of focal species habitat. However, our study showed the conservation importance of the surface of optimal habitat patch areas. The combined application of a graph-based approach and current flow mapping were useful, and complementary both in terms of estimating potential dispersal corridors and identifying high probability dispersal areas. This indicated that landscape connectivity analysis is a useful tool for identification of potential conservation areas and for local landscape planning.