南充雉鸡的巢址选择和春夏季栖息地选择

2006年3-6月,采用野外直接观察法和样方法,在四川省南充市太和白鹭自然保护区对雉鸡(Phasianus colchicus)的巢址选择和春夏季栖息地选择进行了研究。通过主成分分析和对比分析,巢址选择研究结果表明:雉鸡的巢都是选择在乔木盖度小、距水距离较近、草本高度和盖度都较大的白茅(Imperata cylindri-cal)干草丛中;影响雉鸡巢址选择的主要因子依次为:坡度、总盖度、乔木平均胸径、乔木盖度、郁闭度、距水距离、距路距离、灌木平均高度、巢周围干草比例、裸地面积、巢上方覆盖物厚、灌木盖度和巢所在草丛宽度等13个因子。春夏季栖息地选择研究结果表明:雉鸡在春夏季倾向于在植被总盖度大、坡度适中、乔木盖度适中、草本盖度和高度较大、灌木盖度较小、灌木高度较大、隐蔽度较大、距路距离较远和郁闭度较大等的生境栖息。     

南充雉鸡的巢址选择和春夏季栖息地选择

2006年3—6月，采用野外直接观察法和样方法，在四川省南充市太和白鹭自然保护区对雉鸡（Phasianus colchicus）的巢址选择和春夏季栖息地选择进行了研究。通过主成分分析和对比分析，巢址选择研究结果表明：雉鸡的巢都是选择在乔木盖度小、距水距离较近、草本高度和盖度都较大的白茅(Imperata cylindrical)干草丛中；影响雉鸡巢址选择的主要因子依次为：坡度、总盖度、乔木平均胸径、乔木盖度、郁闭度、距水距离、距路距离、灌木平均高度、巢周围干草比例、裸地面积、巢上方覆盖物厚、灌木盖度和巢所在草丛宽度等13个因子。春夏季栖息地选择研究结果表明：雉鸡在春夏季倾向于在植被总盖度大、坡度适中、乔木盖度适中、草本盖度和高度较大、灌木盖度较小、灌木高度较大、隐蔽度较大、距路距离较远和郁闭度较大等的生境栖息。     

犬尾田鼠在斑块生境中更喜好内部区域

我们在斑块化的景观中实验测定了犬尾田鼠(Microtus canicaudus)的生境喜好,验证下列假说:在一斑块生境中,与边缘区域相比,雌性田鼠喜好内部区域.在低密度和高密度时成年雌性的巢区在生境内部区域分别占100% 和76%.高密度时在边缘区域雌性的捕获率较低,这种差异在低密度时更突出.在高密度时通过选择性去除生境内部和边缘区域的一些雌体,边缘区域13只雌体中8只(占62%)的巢区发生从边缘到内部区域的转移,内部区域20只雌体中只有3只(占15%)的巢区向边缘区域转移.动物的繁殖率、生存和体重在两个区域之间没有差异.但是,边缘区域个体的巢区比内部区域的要小.这些结果支持一些关于其他啮齿动物的研究观察结果(如鼠平类和田鼠类),但与草原田鼠不同.因此在一斑块生境中,与边缘区域相比,长尾田鼠更喜好内部区域,边缘区域与内部区域的比率可潜在影响动物的生境选择,也可能会影响斑块化生境中的种群统计学特征.     

江苏盐城黑嘴鸥的繁殖栖息地选择

对江苏盐城黑嘴鸥繁殖期觅食地和营巢地及其主要特征进行了调查,黑嘴鸥繁殖觅食地有盐田,碱蓬滩,草滩,水产品养殖塘,农田,泥质滩涂及河口港汊7种类型,生境选择的结果表明黑嘴鸥对碱蓬滩涂和泥质滩涂都有正选择性,对农田和河口港汊具有负选择性,繁殖前期对养殖塘具有正选择性,不同繁殖时期黑嘴鸥对碱蓬滩和养殖塘的利用情况变化最明显,两年中,黑嘴鸥对河口港汊的利用情况稳定,黑嘴鸥营巢地有獐毛滩,碱蓬滩和大米草滩3种类型,其中碱蓬滩是其主要营巢栖息地,对巢址选择因子的分析的结果表明：影响黑嘴鸥巢址选择的因子主要有4类,依次为：植被盖度和群集度,人为活动干扰强度,底栖生物量及距水源距离,其贡献率分别为26．23％,20．55％,14．82％,14．02％。     

基于MAXENT模型的丹顶鹤营巢生境适宜性分析——以扎龙保护区为例

明确物种繁殖栖息地的潜在分布对于受胁物种的保护与科学管理具有十分重要的意义。扎龙保护区是国际濒危物种丹顶鹤西部迁徙种群的主要繁殖地之一,近年来繁殖种群数量波动较大。通过GIS空间技术平台,利用MAXENT模型,结合2012—2013年丹顶鹤(Grus japonensis)营巢分布点和环境特征变量,对扎龙保护区丹顶鹤营巢生境的适宜性进行了分析。结果表明:模型的评价效果达到优秀水平(训练集AUC=0.901);绿度(34.9%)、距道路距离(17.1%)、土壤湿度(16.3%)、海拔(15.7%)是丹顶鹤营巢生境的主要环境特征变量;核心区中部和南部是丹顶鹤主要的适宜营巢分布区,缓冲区和实验区有少量的适宜营巢区分布,丹顶鹤适宜营巢生境面积为35857.35hm~2,占保护区总面积的17.07%。建议在重点管理核心区的同时,对缓冲区和实验区的小面积芦苇沼泽给予更多关注。     

六盘山华北豹的栖息地利用及保护建议

大型食肉动物对维持生态系统的结构和功能具有重要作用, 但大部分大型食肉动物处在持续的种群数量和分布面积下降之中, 面临着急迫的研究与保护需求。华北豹(Panthera pardus japonensis)是我国特有的豹亚种, 也是部分区域森林生态系统中仅存的大型食肉动物, 面临着生境破碎化等威胁。本研究使用红外相机调查了宁夏六盘山国家级自然保护区华北豹的分布, 通过构建占域模型分析了华北豹的栖息地利用, 预测了华北豹的适宜栖息地, 并评估了其生境破碎化格局。研究发现, 华北豹在六盘山的平均占域率约为0.135。华北豹偏好植被发育成熟、地势崎岖、温度较低、远离农田和公路的栖息地, 对于农田边缘和居民点等人类活动区域未显示出显著回避。研究识别的六盘山华北豹适宜栖息地主要沿六盘山东西两侧山脉分布, 55%的适宜栖息地斑块位于六盘山国家级自然保护区内。栖息地斑块面积平均为16 km², 最大达214 km², 约77%的栖息地斑块面积在10 km²以下。研究表明六盘山国家级自然保护区有效地保护了华北豹现有的适宜栖息地, 但仍存在栖息地破碎化和人类活动干扰等关键限制因素。建议通过栖息地改造、人类活动管理等方式增强六盘山华北豹适宜栖息地斑块连通性; 并通过推动华北豹跨省保护工作等举措促进华北豹种群扩散恢复。     

朱鹮的潜在繁殖地

利用ErdasImagine8.4和ArcViewGIS对陕西省部分地区的卫片进行解译,分析其中的栖息地组成。结果表明,现有野生朱种群的最大繁殖地—花园繁殖区的栖息地组成为:马尾松林占73.1%,次生疏林占16.9%,农田占4.8%,稀疏灌木林占4.2%,油松栎类混交林占1.0%。使用彩色数字环标记重见法研究了朱繁殖期活动区的栖息地组成。根据花园繁殖地和朱鹮活动区内的栖息地组成,给各种栖息地赋予相应的适宜度值,以此作为朱鹮潜在繁殖地的评估标准。对卫片区域的评估结果表明,研究区内潜在的很适宜的繁殖地主要分布于洋县华阳镇周边、洋县花园乡周围地区、酉水河两岸山区、南郑县东南部和汉中西北部等地区,占总面积的5.2%;适宜的繁殖地占19.4%,不适宜繁殖的区域占75.4%。根据这个评估结果,野生朱鹮1995-2004年的97个巢中(花园繁殖地以外),87个(占89.7%)落入适宜的繁殖地中;野外核查的结果也表明,该评估方法的准确度达到88.4%。评估的误差主要源于遥感很难准确判别林木的生长状况(树高、胸径、密度等)和混交林中某些适于营巢的树种的存在,并忽略了小面积地块。因此,适当的野外核查可以提高该评估方法的准确度     

雪雀属鸟类栖息地在中国的分布

雪雀属（Montifringilla)属典型的高原鸟类,主要分布于我国青藏高原及其毗邻地区。本文依据现有雪雀属种类的采集记录、文献记载的分布资料,结合野外实地考察,运用GIS（地理信息系统）的叠加和分析功能,综合生境类型资料,建立其野生动物－栖息地关系模型,并预测该属种类栖息地分布。该模型依据适宜于雪雀分布的植被类型和高度叠加后产生雪雀的适宜栖息地,与县界的行政区划图叠加后产生预测有可能分布的县级单元。预测产生的分布图包含高度适宜、适宜和不适宜三种生境类型。本研究预测雪雀属种类的栖息地分布图显示,青藏高原大部分缺乏采集记录的地区具有适宜于雪雀分布的生境类型,具有雪雀分布所必须的潜在条件。而那些有采集记录的县,也仅仅在那些适宜的生境类型中才会有雪雀的分布。     

普洱市亚洲象栖息地适宜度评价

亚洲象(Elephas maximus)属于我国Ⅰ级保护动物,在中国仅分布于云南省西双版纳国家级自然保护区、普洱市的思茅区、澜沧县和江城县,以及临沧南滚河国家级自然保护区。将普洱全境作为研究区域,利用野外调查数据,结合遥感与地理信息系统技术,运用生态位因子分析(ENFA)模型对普洱市亚洲象的栖息地适宜度进行了评价,并预测了适宜栖息地的分布。发现:普洱市亚洲象栖息地的边际值为0.991,表明亚洲象在普洱市境内对环境变量的选择不是随机的;耐受值为0.315,表明亚洲象在普洱市境内生态位较窄,受环境条件的制约。根据模型计算得到的栖息地适宜度指数,将普洱市的亚洲象栖息地分为最适栖息地,较适栖息地,边际栖息地和非栖息地4个等级,面积分别为409.32、574.32、2909.48、38722.32 km2。最适栖息地仅占全市面积的0.96%,而非栖息地占90.86%。利用GIS和Biomapper 4.0生成亚洲象栖息地分布图,发现普洱境内最适栖息地和较适栖息地面积狭小。对最适栖息地、较适栖息地和边际栖息地进行景观格局分析的结果表明,3种类型的栖息地破碎化均十分严重,连通度较低,栖息地内受到较大程度的人类活动的干扰。因此建议在普洱和西双版纳间尽快建立野生动物生态廊道,以加强亚洲象各种群间的交流。     

雉鸡的活动痕迹及种群密度的初步研究

本文报道了在不同生境中采用样方法对雉鸡及其活动痕迹进行调查,并根据Ｄ＝Ｎ／Ｂ公式对所得的数据加以处理,其结果表明雉鸡在活动过程中所留下的巢、粪便等痕迹均以灌草丛为最多,而取食刨土所留下的痕迹则以农耕地为最多。其种群密度,在草坡为５６只／ｋｍ２,稀树灌丛草坡为７８只／ｋｍ２,灌丛草坡为１５６只／ｋｍ２。     

画眉的巢址选择

画眉巢在研究地区多营造于阔叶林、杉木幼林地和水杉林等生境近地面的灌丛中 ,巢主要以山胡椒叶、麻栎叶、禾本科枯草和细小枯枝等构成 ,距地面高 1 5 6cm(n =1 0 )。用 1 0m× 1 0m样方法 ,对巢址的利用区和对照区进行统计分析表明 ,小生境的参数方面存在显著性差异 (Z =-2 5 9,P =0 0 1 )。 1 0m层的盖度、草本层的高度以及坡位、坡向等地形因素直接影响着画眉对巢址的选择。     

基于MaxEnt模型的道路对朱鹮繁殖地的影响

道路对野生动物适宜繁殖地影响的定量研究是目前道路生态学领域有待深入的内容之一.本文以国家一级保护动物朱鹮为研究对象,利用物种分布模型(SDM)中MaxEnt模型,通过对影响朱鹮繁殖地的环境变量进行自相关分析,剔除自相关系数大于0.8的环境变量,最终选择了10个环境变量为朱鹮繁殖地的影响因子,分别为最冷季度平均气温、景观类型、归一化植被指数、坡度、坡向、距水体距离、距水田距离、距高等级公路(县级及以上道路)距离、距低等级公路(乡镇和林间道路)距离、距居住地距离.通过对环境变量的贡献率进行分析表明: 最冷季度平均气温、景观类型以及距水田距离、距高等级公路距离是影响朱鹮筑巢的主要因子.分别研究了含道路变量(情景Ⅰ)、不含高等级公路(情景Ⅱ)以及不含低等级公路(情景Ⅲ)3种情景下朱鹮繁殖地适宜区分布.结果表明:道路对朱鹮繁殖地干扰影响显著,高等级公路的影响比低等级公路大,高等级公路和低等级公路的存在分别使朱鹮繁殖地适宜区的面积减小了66.23和35.69 km².朱鹮筑巢对高等级公路有明显的回避效应,平均回避距离为1500 m.本研究对未来制定朱鹮的保护管理措施具有重要意义,同时可为工程建设项目对野生动物的环境影响定量评价提供应用示范.     

Microhabitat nest‐site selection by ducks in the boreal forest

The boreal forest is one of the North America’s most important breeding areas for ducks, but information about the nesting ecology of ducks in the region is limited. We collected microhabitat data related to vegetation structure and composition at 157 duck nests and paired random locations in Alberta’s boreal forest region from 2016 to 2018. We identified fine‐scale vegetation features selected by ducks for all nests, between nesting guilds, and among five species using conditional logistic regression. Ducks in the boreal forest selected nest sites with greater overhead and graminoid cover, but less forb cover than random sites. Characteristics of the nest sites of upland‐ and overwater‐nesting guilds differed, with species nesting in upland habitat selecting nests that provided greater shrub cover and less lateral concealment and species nesting over water selecting nests with less shrub cover. We examined the characteristics of nest sites of American Wigeon (Mareca americana), Blue‐winged Teal (Spatula discors), Green‐winged Teal (Anas crecca), Mallards (Anas platyrhynchos), and Ring‐necked Ducks (Aythya collaris), and found differences among species that may facilitate species coexistence at a regional scale. Our results suggest that females of species nesting in upland habitat selected nest sites that optimized concealment from aerial predators while also allowing detection of and escape from terrestrial predators. Consequently, alteration in the composition and heterogeneity of vegetation and predator communities caused by climate change and industrial development in the boreal forest of Canada may affect the nest‐site selection strategies of boreal ducks.     

基于累积阻力的野生动物适宜生境斑块探测——以滇金丝猴为例

识别动物的适宜生境对野生动物保护、区域生态保护以及自然保护区的规划等具有指导意义。以滇金丝猴生存区域为例,选取7个影响滇金丝猴生境适宜性的主要因子：植被类型、海拔、坡度、坡向、距水系距离、距居民点距离、距道路距离,基于GIS技术,构建阻力面,确定累积阻力阈值,计算可达面积并据此划分斑块,结合现有猴群的栖息地分布、保护区设立对划分结果进行分析讨论。结果表明,区域内滇金丝猴的适宜生境面积整体占比较低,猴群移动受到人类活动干扰或水系阻隔的影响,其生境受到了不同程度的破坏,且生境适宜度表现出中部最高,北部次之,南部最差的规律。划分生境适宜性等级的方法,考虑到了明显地物对动物移动的较强阻隔作用,顾及到了空间连续性和斑块完整性,实验结果可反映出不同区域的生境适宜性差异。     

Greater Sage-Grouse Nesting Habitat: The Importance of Managing at Multiple Scales

Abstract: Considering habitat selection at multiple scales is essential to fully understand habitat requirements and management needs for wildlife species of concern. We used a hierarchical information-theoretic approach and variance decomposition techniques to analyze habitat selection using local-scale habitat variables measured in the field and landscape-scale variables derived with a Geographic Information System (GIS) for nesting greater sage-grouse (Centrocercus urophasianus) in the Powder River Basin (PRB), Montana and Wyoming, USA, 2003–2007. We investigated relationships between habitat features that can and cannot be mapped in a GIS to provide insights into interpretation of landscape-scale—only GIS models. We produced models of habitat selection at both local and landscape scales and across scales, yet multiscale models had overwhelming statistical and biological support. Variance decomposition showed that local-scale measures explained the most pure variation (50%) in sage-grouse nesting-habitat selection. Landscape-scale features explained 20% of pure variation and shared 30% with local-scale features. Both local- and landscape-scale habitat features are important in sage-grouse nesting-habitat selection because each scale explained both pure and shared variation. Our landscape-scale model was accurate in predicting priority landscapes where sage-grouse nests would occur and is, therefore, useful in providing landscape context for management decisions. It accurately predicted locations of independent sage-grouse nests (validation R² = 0.99) and showed good discriminatory ability with >90% of nests located within only 40% of the study area. Our landscape-scale model also accurately predicted independent lek locations. We estimated twice the amount of predicted nesting habitat within 3 km of leks compared to random locations in the PRB. Likewise we estimated 1.8 times more predicted nesting habitat within 10 km of leks compared to random locations. These results support predictions of the hotspot theory of lek placement. Local-scale habitat variables that cannot currently be mapped in a GIS strongly influence sage-grouse nest-site selection, but only within priority nesting habitats defined at the landscape scale. Our results indicate that habitat treatments for nesting sage-grouse applied in areas with an unsuitable landscape context are unlikely to achieve desired conservation results.     

Salt marsh elevation is a strong determinant of nest‐site selection by Clapper Rails in Georgia,USA

As sea levels rise, birds nesting in coastal marshes will be particularly vulnerable to increased tidal inundation. Understanding how marsh birds select their nesting habitat along the elevational gradient of these marshes will provide insight into how these species might be affected by rising sea levels. Clapper Rails (Rallus crepitans) are coastal marsh‐nesting birds whose nests are vulnerable to flooding, but it is not clear if they select for habitat along the elevational gradient or only use other habitat cues. Our objective was to determine if Clapper Rails select higher‐elevation nest sites, while also controlling for selection of other habitat variables at both landscape and territory levels, by comparing nest habitat to habitat in other areas of territories and at random points in the marsh landscape. At the landscape level, Clapper Rails did not exhibit selection for the elevational gradient, with nests and random points at similar elevations. At the territory level, however, nest‐site selection was most influenced by elevation and plant height, with Clapper Rails selecting nest sites with higher elevations and in areas with taller plants. However, the strength of the elevation effect was uncertain, suggesting the importance of precise elevation measurements in the field. Given this selection for higher‐elevation nest sites, Clapper Rails may be somewhat resilient to increased tidal inundation. However, the potential for increased intra‐ and interspecific competition for high‐elevation marshes should make conservation of these habitats a priority.     

Modelling habitat use and distribution of golden eagles <Emphasis Type="Italic">Aquila chrysaetos</Emphasis> in a low-density area of the Iberian Peninsula

We analyse the current situation of the Golden eagle (Aquila chrysaetos) in the region of Galicia in NW Spain. At present, the entire Galician population (five pairs) is located within an area of about 2000 km² in the province of Ourense. To identify high-priority areas for golden eagle conservation, we derived predictive models of habitat suitability using logistic regression and a Geographic Information System (GIS). Specifically, to model the distribution of the breeding population we considered topographic features, land use and degree of humanization, using a 10 × 10 km grid. Presence/absence of golden eagle nests was used as the dependent variable; analyses were performed both considering current nesting areas and considering old nesting areas (1960s and 70s). At the spatial scale considered, the best predictors of habitat suitability for breeding were topographical variables indicative of rugged relief. For current nesting areas the most parsimonious model included maximum altitude. We consider that the predictive models obtained may be of use for the monitoring and conservation management of the golden eagle population in this region. Conservation problems associated with habitat constraints such as food supply, availability of nesting sites, changes in land use and human disturbance are discussed.     

基于生境可获得性的完达山地区马鹿(Cervus elaphus xanthopygus)冬季生境选择

于2004～2005年冬季研究了完达山地区马鹿的生境利用和选择。在野外调查的基础上,获取了研究地区马鹿种群水平上的生境利用数据;利用地理信息系统和遥感技术,从区域尺度上测度了各类生境因子的可获得性。通过比较被利用生境与可获得生境,测度了马鹿冬季对各类生境或生态因子的选择。结果表明,马鹿对植被类型、海拔、坡向、NDVI等级、到公路距离表现出非比例利用,对坡度的利用与其可获得性则没有显著性差异。马鹿选择采伐迹地,低郁闭度生境（第2、3NDVI等级）,200～300m海拔区间,南坡,距离公路600～700m的区间。马鹿采食生境和卧息生境对各类因子具有不同的选择性,表现出不同功能生境分离的特征。对于采食生境,马鹿选择采伐迹地、阔叶疏林,低郁闭度（第2、3NDVI等级）,南坡;对于卧息生境,马鹿仅选择采伐迹地,低郁闭度（第2、3、4NDVI等级）。根据马鹿活动样点的出现与否,建立了马鹿冬季生境选择的逻辑斯谛回归模型。模型回判结果表明,该模型对马鹿活动样方与对照样方的总体正确预测率为74．4％,对马鹿活动样方的正确预测率为84．2％,对对照样方的正确预测率为62．4％,能够较好的预测生境利用概率。     

小兴安岭黑河胜山林区冬季驼鹿的生境选择

2002年、2003年和2004年的12月至3月,在小兴安岭黑河胜山林场开展了驼鹿生境选择的研究。研究中选择了9类与驼鹿生境选择相关的生态因子：植被型、离公路距离、离采伐点距离、平均雪深、隐蔽程度、坡向、坡位、坡度、海拔,运用SPSS软件进行交叉汇总定量分析。结果表明,胜山驼鹿冬季以落叶阔叶林、灌丛为主要生境,影响驼鹿分布的主要生态因子为隐蔽程度、坡位,其次为雪深、坡向、离采伐点距离、离公路距离,坡度、海拔对驼鹿分布的影响不明显。     

Breeding habitat and nest‐site selection by an obligatory “nest‐cleptoparasite”, the Amur Falcon Falco amurensis

The selection of a nest site is crucial for successful reproduction of birds. Animals which re‐use or occupy nest sites constructed by other species often have limited choice. Little is known about the criteria of nest‐stealing species to choose suitable nesting sites and habitats. Here, we analyze breeding‐site selection of an obligatory “nest‐cleptoparasite”, the Amur Falcon Falco amurensis. We collected data on nest sites at Muraviovka Park in the Russian Far East, where the species breeds exclusively in nests of the Eurasian Magpie Pica pica. We sampled 117 Eurasian Magpie nests, 38 of which were occupied by Amur Falcons. Nest‐specific variables were assessed, and a recently developed habitat classification map was used to derive landscape metrics. We found that Amur Falcons chose a wide range of nesting sites, but significantly preferred nests with a domed roof. Breeding pairs of Eurasian Hobby Falco subbuteo and Eurasian Magpie were often found to breed near the nest in about the same distance as neighboring Amur Falcon pairs. Additionally, the occurrence of the species was positively associated with bare soil cover, forest cover, and shrub patches within their home range and negatively with the distance to wetlands. Areas of wetlands and fallow land might be used for foraging since Amur Falcons mostly depend on an insect diet. Additionally, we found that rarely burned habitats were preferred. Overall, the effect of landscape variables on the choice of actual nest sites appeared to be rather small. We used different classification methods to predict the probability of occurrence, of which the Random forest method showed the highest accuracy. The areas determined as suitable habitat showed a high concordance with the actual nest locations. We conclude that Amur Falcons prefer to occupy newly built (domed) nests to ensure high nest quality, as well as nests surrounded by available feeding habitats.