老爷岭南部狍冬季移动、卧息生境选择及其适宜性评价

在动物生境研究中,移动生境和卧息生境是生境研究的焦点。开展移动生境和卧息生境选择,并在此基础上进行生境评价,有利于深入了解动物对移动和卧息生境条件的需求,制定科学合理的栖息地保护计划。以东北虎（Panthera tigris altaica）的主要猎物物种之一-狍（Capreolus pygargus）为研究对象,于2017-2019年冬季积雪覆盖期在老爷岭南部通过随机布设28个大样方和84条用于足迹链跟踪的样线收集狍的移动点和卧息点信息,再结合近年来收集的东北虎出现点,利用广义可加模型（GAM）和最大熵模型（MaxEnt）进行狍移动、卧息生境选择及评价研究。移动生境选择研究表明,狍在移动的过程中偏好选择坡度小、距农田距离>500 m、远离道路、居民点和低海拔或较高海拔的区域;移动生境评价分析表明,移动适宜和次适宜生境面积之和为1318.16 km²,占研究区域面积的51.28%,当加入虎活动点影响因子后,狍移动适宜和次适宜生境面积之和为901.52 km²,适宜和次适宜生境面积之和减少了31.61%。狍卧息生境选择研究表明,水源、农田、道路和雪深是影响狍卧息的关键因素,其中雪深对狍卧息生境选择的贡献率达到70.13%;卧息生境评价表明,卧息适宜和次适宜生境面积之和为1243.77 km²,占研究区域面积的48.39%,当加入虎出现点因子后,适宜生境和次适宜生境面积之和减少了61.00%,仅为485.02 km²。研究认为,虎的出现对狍移动和卧息生境选择均产生影响,虎的活动及捕食行为可能会减少狍的活动范围和频次,狍远离虎活动区域卧息休息,压缩了狍适宜卧息的空间。     

黑龙江省东完达山地区东北虎猎物种群现状及动态趋势

猎物种群丰度是限制虎分布和数量的关键因子,因此猎物种群密度监测和估算是虎保护的重要内容之一。应用采用大样方法,地理信息系统技术和多元统计分析,研究了黑龙江东完达山东部地区东北虎猎物种群(马鹿、狍子和野猪)现状及动态变化趋势。结果表明:研究地区马鹿的种群平均密度为(0.2010±0.0270)只/km²、狍子的平均种群密度为(0.4980±0.0436)只/km²、野猪的平均种群密度为(0.3423±0.0275)只/km²。单因素方差分析表明,在相同生境下,3种有蹄类密度在在阔叶混交林中和杂木林中差异极为显著;不同的生境,3种猎物的猎物的密度也存在着显著差异。相关分析表明马鹿密度和野猪密度程正相关,而马鹿密度和狍子密度、狍子密度和野猪密度则不相关。 同1989年该地区东北虎猎物种群相比:1989-2002年的13 a时间内马鹿的年平均递减率为13.48%、狍子的年平均递减率为12.69%、野猪的年平均递减率为1.89%。     

黑龙江省完达山东部林区东北虎猎物生物量

研究一个地区猎物种群生物量能否满足捕食动物种群数量的需求,这对于了解濒危大型食肉动物是否受到来自于食物缺乏的威胁和制定相应的保护措施极其重要。为了掌握黑龙江省完达山东部林区东北虎食物需求与猎物生物量之间的关系,于2008年冬季至2009早春积雪覆盖期采用随机布设样线,通过收集有蹄类动物在雪地上留下的足迹等活动的方法,在东方红林业局和迎春林业局管辖境内3 692.06 km²的区域布设大样方48个,并在大样方里共布设样线240条开展有蹄类动物种群数量调查,确定东北虎猎物生物量。调查结果表明:研究地区野猪(成体502 606只,亚成体209 210只)、马鹿(成体331 357只,亚成体67 72只)和狍子(成体810 815只,亚成体202 203只)的生物量分别为74 767.50 87 825.00 kg、79 744.50 85 984.50 kg 和 31 337.00 31 525.50 kg,3种有蹄类动物生物量共计1 85 849.00 205 335.00 kg。研究地区猎物总生物量为209 619.89 231 598.24 kg。如果按8%的生物提供给东北虎,3种主要猎物生物量可满足5.22 6.92只东北虎个体的食物需求,研究地区猎物总生物量则可满足5.89 7.81只东北虎个体的食物需求。此外,对足迹遇见率与抽样强度、抽样强度与足迹遇见率的均值标准误差之间关系的分析表明,在完达山东部林区布设120条样线(抽样距离600 km)、150条样线(抽样距离750 km)和115条样线(抽样距离675 km)能满足野猪、马鹿、狍子种群数量调查准确性的最低需求。     

甘肃兴隆山保护区野生马麝分布、数量特征及影响因素

综合采用样线法、粪堆计数法及重复调查法对甘肃省兴隆山国家级自然保护区的野生马麝（Moschus chrysogaster）进行了种群调查,结合生境分析,确定了其种群分布、数量特征及影响因素。结果表明,兴隆山保护区分布有野生马麝（1159±275）头,平均种群密度为（3.51±0.83）头/km²;各植被类型生境中的野生麝种群数量及密度存在差异,灌丛生境分布有70%的野生马麝种群,达（807±170）头,种群密度为（6.49±1.63）头/km²;针叶林种群密度最大,达（8.85±83.25）头/km²,分布有野生麝（123±45）头;针阔混交林分布最少,仅（41±15）头,种群密度为（5.00±1.84）头/km²;人工林生境无野生马麝分布。保护区各植被类型生境中的野生马麝种群分布差异反映了马麝对适宜生境功能的需求,食物、保温和隐蔽性是制约野生马麝冬季分布和种群数量的关键因素。此外,因生境及人为干扰强度的不同,保护区各区域的野生马麝种群分布存在差异。建议通过减少人为干扰、地表植被管理及人工林管理优化等措施增加生境适宜性,促进兴隆山自然保护区野生马麝种群的快速恢复和增长。     

景观破碎化对东北虎主要猎物种群动态影响的模拟

以完达山东部地区的现实景观为背景,采用空间直观种群模型LAPS和情景模拟相结合的"虚拟实验"途径,模拟了在10个不同破碎化程度的景观情景中东北虎的主要猎物于1992-2011年间的种群动态,评价了完达山东部地区当前的景观破碎化程度对东北虎主要猎物种群动态的影响。结果表明:LAPS模型准确刻画了研究区东北虎主要猎物种群数量急剧下降的趋势,2002年模拟的东北虎主要猎物的种群数量和实测值之间没有显著差异,马鹿、野猪和狍子的P值分别为0.8651、0.9534和0.2836;不同生境类型的种群密度数据与实测值之间均没有显著差异,其中阔叶林生境中的马鹿、野猪和狍子的P值分别为0.8521、0.9447和0.3152;在灌丛生境中的马鹿、野猪和狍子的P值分别为0.8846、0.9576和0.2415。斑块类型和景观水平上的格局指标变化趋势表明由于农田扩张导致10个景观情景的破碎化程度逐渐增加,景观水平的破碎化程度低于斑块类型水平。方差分析显示10个景观情景中的种群数量没有显著差异,马鹿、野猪和狍子的P值分别为0.8516、0.2624和0.7636,说明研究区当前的景观破碎化程度对种群动态影响并不显著。完达山东部地区存在盗猎等人为干扰,导致了东北虎主要猎物的数量远低于环境容纳量,景观破碎化虽然在局部地区较为严重,但完达山东部地区整体上景观破碎化并不强烈,该地区景观破碎化的效应尚未显现。认为控制盗猎等人为干扰是增加该地区东北虎主要猎物的数量、实现东北虎种群恢复所应优先采取的措施。     

东北虎豹国家公园东部的野猪生境利用和活动节律初步研究

野猪是世界上分布最广的大型哺乳动物之一,也是东北虎豹国家公园内主要的有蹄类动物,东北虎主要的猎物之一。本文采集了中国虎豹观测网络架设在东北虎豹国家公园东部区域的红外相机完整一年的拍摄数据（2015年5月至2016年4月）,通过占域模型和核密度分析,获得不同季节的野猪生境利用情况和日活动节律,探究人为因素、环境因素和生物因素对野猪生境利用的影响。结果显示,野猪偏好于针叶林和针阔混交林,在靠近居民点的区域活动增加。不同物种间的相互作用对野猪的生境利用产生不同影响,受捕食者压力野猪会倾向于躲避东北虎,但东北豹对野猪占域显示为正向影响。梅花鹿和狍对野猪的影响在不同季节呈现相反,梅花鹿对野猪的占域在冬季呈负向影响,而狍对野猪的占域则在夏季呈负向影响。本研究区域内的野猪夏季有2个活动高峰,冬季有1个活动高峰,在不同季节都倾向于白天和晨昏活动,在日落前达到活动最高峰。本研究揭示东北虎豹国家公园东部区域的野猪生境利用和活动节律是受到植被生境、大型食肉动物和人类因素等多种因素相互作用,长期相适应的结果。     

松嫩平原苍鹭秋季栖息地选择及适宜性分布

苍鹭（Ardea cinerea）是松嫩平原湿地的常见鸟种,松嫩平原也是苍鹭重要的栖息地。为了了解苍鹭潜在栖息地的适宜性分布,利用GPS/GSM卫星跟踪技术,结合遥感影像和地理信息系统,应用Maxent模型对松嫩平原苍鹭秋季潜在的栖息地进行了评价,并对其适宜性分布进行了分析。结果显示：水源距离和绿度指数是影响松嫩平原苍鹭秋季栖息地适宜性的重要环境变量;松嫩平原内苍鹭适宜栖息地面积为2761.06 km²（占研究区域的1.24%）,主要分布在大庆（756.86 km²,占适宜栖息地面积的27.41%）、白城（537.14 km²,占适宜栖息地面积的19.45%）、齐齐哈尔（439.43 km²,占适宜栖息地面积的15.92%）等地市行政区,以大庆市杜尔伯特蒙古族自治县（429.90 km²,占适宜栖息地面积的15.57%）、白城市镇赉县（334.92 km²,占适宜栖息地面积的12.13%）、大庆市肇源县（185.54 km²,占适宜栖息地面积的6.72%）等县级行政区为主;其中,15.79%的适宜栖息地依次受到莫莫格保护区（10.34%）、扎龙保护区（3.47%）、向海保护区（0.67%）、查干湖保护区（0.54%）、大布苏保护区（0.41%）、乌裕尔河保护区（0.36%）等国家级自然保护区的保护。建议对未受到保护的零星小面积栖息地给与更多关注。     

新疆哈密山区天山马鹿种群数量和冬季生境选择

2010年12月至2011年2月,在新疆哈密山区,采用截线抽样法和遥感技术,对野生天山马鹿（Cervus elaphus songaricus）种群现状和冬季生境选择进行了研究。在不同区域和不同类型栖息地共布设了28条样线,样线总长度达60.1 km。其中,16条样线上发现马鹿共233头,调查区域平均种群密度（2.83±1.01）头/km²,种群数量（1 684.56±379.71）头,与1993年的调查结果相比有所上升。雌雄性比为2.24：1,幼体和亚成体总数多于成体和老体总数,种群数量呈增长趋势。根据野外考察GPS数据并解译天山马鹿分布生境2006秋季的LANDSAT TM/ETM+遥感影像,将生境要素分为山地针叶林、草甸、灌木丛、农田和戈壁5种类型,其中,草甸与山地针叶林为天山马鹿冬季适宜生境。     

大型野生食草动物生境资源利用竞争关系

生物多样性维持是三江源区的重要生态功能,野生动物保护的科学规划需要掌握区内野生动物的栖息地分布状况与资源竞争关系。利用无人机遥感的新技术,在三江源玛多县开展藏野驴、藏原羚和岩羊的适宜栖息地识别与划定以及生境资源利用竞争关系研究。结果显示,2017年玛多县藏野驴适宜生境面积3559.43 km²,距水源距离是限制适宜生境面积的主要因子;藏原羚的适宜生境面积为283.76 km²,岩羊的适宜生境面积为29.97 km²,坡度、距水源距离以及植被类型是制约适宜栖息地面积的主要因素。由于在栖息地坡度选择中的生态位差异,三种大型野生食草动物的生境重叠面积均较小,生境竞争关系较弱。研究为生物多样性保护提供了全新的思路,可为相似区域的野生动物保护与恢复综合规划提供支撑。     

气候变化背景下秦岭地区羚牛生境脆弱性评估及适应性保护对策

脆弱性是指物种受气候变化影响的程度,开展脆弱性评估工作有助于人类认识气候变化对野生动物的影响,为制定野生动物适应气候变化的保护对策提供科学依据。采用最大熵模型评估气候变化背景下秦岭地区羚牛（Budorcas taxicolor bedfordi）生境脆弱性。结果表明：（1）当前秦岭地区羚牛适宜生境总面积为6473 km²,到2050s年,预测秦岭地区羚牛适宜生境总面积为4217 km²,减少34.85%,羚牛适宜生境将向更高海拔地区转移,转移约210 m;（2）已建保护区覆盖49.82%当前羚牛适宜生境,尚有3248 km²的适宜生境处于保护区之外;到2050s年,保护区覆盖了43.87%适宜生境,尚有2367 km²的适宜生境未被保护;（3）到2050s年,当前分布在太白县、佛坪县、洋县和宁陕县等地区的3490 km²羚牛适宜生境将会成为生境脆弱区域,丧失53.92%;（4）分布在秦岭核心区域的2983 km²当前和2050s年保持不变适宜生境,将成为羚牛躲避气候变化的庇护所。基于研究结果,就未来羚牛应对气候变化的适应性保护对策提出以下几点建议：考虑将当前羚牛适宜生境纳入国家公园范围、构建适应性生态廊道、加强野生动物监测。     

Impact of prey occupancy and other ecological and anthropogenic factors on tiger distribution in Thailand's western forest complex

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Prey selection and dietary response by wolves in a high-density multi-species ungulate community

Studies on predation by the wolf (Canis lupus) have often reported contradictory results about the role of prey density and vulnerability on wolf prey use. We investigated dietary response and prey selection by wolves in a high-density and multi-species ungulate community, analysing scats collected over a period of 11 years in the Casentinesi Forests, Italy. The second most abundant species, wild boar (Sus scrofa), was found to be the main wolf prey, and we did not observe any dietary response of wolves to variations in the density of either primary or secondary prey species. Selection patterns were uniform throughout the study period. Wolves strongly selected for wild boar piglets, while roe deer (Capreolus capreolus) fawns and adults, red deer (Cervus elaphus) adults and fallow deer (Dama dama) adults were avoided. Wolf preference for wild boar was inversely density dependent. Within each species, juveniles were preferred to adults. Medium-sized, young individuals of both wild boar and roe deer were optimal prey, although with different selection patterns related to the different anti-predator strategies adopted by each prey species. The results of this study suggest that in productive ecosystems with high density and high renewal rates of prey, selection patterns by wolves are determined by prey vulnerability, which is connected to prey age and body size. The different patterns of wild boar versus cervids use by wolf across Europe seems to be related to their relative abundances, while the strong selection of wild boar in Italian Apennines with respect to the more frequent avoidance in central-eastern Europe is better explained by higher piglet productivity and smaller body size of adults boar in Mediterranean temperate forests.     

Spatial variation in the density and vulnerability of preferred prey in the landscape shape patterns of Amur tiger habitat use

Theoretical and empirical research suggests that carnivore distributions are largely determined by prey availability. Availability depends not only on prey density but also on prey accessibility which is affected, in part, by the configuration of landscape attributes that make prey vulnerable to predation. Exactly how spatial variation in these processes shape patterns of carnivore habitat use at the home range scale remains poorly understood. We examined the influence of prey density (negative binomial resource selection function) and vulnerability (kill site resource selection function), mapped separately for each of three species of primary prey, on habitat use patterns within the home range for Amur tigers Panthera tigris altaica in Far East Russia over 20 winters. We developed spatially‐explicit mixed linear regression models to assess these patterns and found that models with parameters for specific primary prey were more robust than models with composite parameters for all primary prey species. This emphasizes the importance of evaluating predation dynamics at a species‐specific level. We also found that Amur tigers used habitat within the home range where red deer Cervus elaphus and wild boar Sus scrofa were dense. These two species were clearly preferred by tigers accounting for 72% (201 of the 278) of the tiger kills detected. The effect of red deer density however, was modulated by the vulnerability of red deer in the landscape. Amur tigers tended to establish their home ranges on habitat where red deer were most vulnerable to predation, but would use habitat where red deer were dense in the peripheral regions of their home ranges. This suggests that tigers may utilize two separate strategies for acquiring prey. As the configuration of resource patches within the home range influences carnivore survival and reproduction, our analysis has implications for tiger conservation that extend beyond our improved understanding of tiger‐prey ecology.     

Estimation of roe deerCapreolus capreolus and mouflonOvis aries densities, abundance and habitat use in a mountainous Mediterranean area

The abundance, density, and habitat use of roe deerCapreolus capreolus (Linnaeus, 1758) and mouflonOvis aries Linnaeus, 1758 were studied in a confined Mediterranean area in Greece with a dung survey based on the faecal accumulation rate (FAR) technique. Estimated density was modelled with generalized additive models using altitude, habitat type, and slope as potential covariates. Model selection among the set of candidate models was conducted based on their generalized cross-validation score. Roe deer had an estimated mean density of 13.9 ind./km² and the best model included slope and habitat type as covariates. The mean density of mouflon in the study area was 22.1 ind./km² and the best model used altitude and habitat type as covariates. For both species, the highest densities were encountered in abandoned cultivations and glades, followed by conifer forests, while the lowest densities were observed in maquis. However, use of open habitats by mouflon was much greater than it was for roe deer. The strong preference of mouflon (a grazer species) for open habitats that were abundant with grasses probably reflected food availability and contrasted with the more diverse habitat use by roe deer (a selective browser).     

Effects of human‐induced prey depletion on large carnivores in protected areas: Lessons from modeling tiger populations in stylized spatial scenarios

Prey depletion is a major threat to the conservation of large carnivore species globally. However, at the policy‐relevant scale of protected areas, we know little about how the spatial distribution of prey depletion affects carnivore space use and population persistence. We developed a spatially explicit, agent‐based model to investigate the effects of different human‐induced prey depletion experiments on the globally endangered tiger (Panthera tigris) in isolated protected areas—a situation that prevails throughout the tiger's range. Specifically, we generated 120 experiments that varied the spatial extent and intensity of prey depletion across a stylized (circle) landscape (1,000 km²) and Nepal's Chitwan National Park (~1,239 km²). Experiments that created more spatially homogenous prey distributions (i.e., less prey removed per cell but over larger areas) resulted in larger tiger territories and smaller population sizes over time. Counterintuitively, we found that depleting prey along the edge of Chitwan National Park, while decreasing tiger numbers overall, also decreased female competition for those areas, leading to lower rates of female starvation. Overall our results suggest that subtle differences in the spatial distributions of prey densities created by various human activities, such as natural resource‐use patterns, urban growth and infrastructure development, or conservation spatial zoning might have unintended, detrimental effects on carnivore populations. Our model is a useful planning tool as it incorporates information on animal behavioral ecology, resource spatial distribution, and the drivers of change to those resources, such as human activities.     

Predator densities and white-tailed deer fawn survival

Predation is the dominant source of mortality for white-tailed deer (Odocoileus virginianus) <6 months old throughout North America. Yet, few white-tailed deer fawn survival studies have occurred in areas with 4 predator species or have considered concurrent densities of deer and predator species. We monitored survival and cause-specific mortality from birth to 6 months for 100 neonatal fawns during 2013–2015 in the Upper Peninsula of Michigan, USA, while simultaneously estimating population densities of deer, American black bear (Ursus americanus), coyote (Canis latrans), bobcat (Lynx rufus), and gray wolf (Canis lupus). We estimated fawn predation risk in response to sex, birth mass, and date of birth. Six-month fawn survival pooled among years was 36%, and fawn mortality risk was not related to birth mass, date of birth, or sex. Estimated mean annual deer and predator densities were 334 fawns/100 km², 25.9 black bear/100 km², 23.8 coyotes/100 km², 3.8 bobcat/100 km², and 2.8 wolves/100 km². Despite lower estimated per-individual kill rates, coyotes and black bears were the leading sources of fawn mortality because they had greater densities relative to bobcats and wolves. Our results indicate that the presence of more predator species in a system is not entirely additive in its effect on fawn survival. © The Wildlife Society, 2019     

Population dynamics (1869–1994), demography, and home ranges of the lynx in Bialowieza Primeval Forest (Poland and Belarus)

Population dynamics, demography and home ranges of the Eurasian lynx Lynx lynx were studied in Bialowiez̊a Primeval Forest (BPF, 1250 km²), the best preserved mixed and deciduous forest in the lowlands of Europe; 40% of BPF area belongs to Poland and 60/0 to the Belarus Republic. Results of radiotelemetry of lynx (1991–1994) were combined with the Polish and Belarussian game departments' inventories of lynx numbers (1946–1994), archival hunting statistics (1869–1989), observations and snowtracking of lynx. In 1991–1994, 12 lynx were radiocollared. Their home ranges covered from SO to 246 km² (mean 147 km²), depending largely on the time the lynx was radiotracked. During a given period, i.e. the autumn-winter seasons (I October-30 April), the home ranges were largest in adult males (90–148 km²), then in adult females (82–108 km²), and smallest in subadult lynxes (39–55 km²). Home ranges overlapped extensively. In winters 1992/93 and 1993/94, 21 and 29 lynxes, respectively, were recorded by the mapping of radiotracked and snowtracked individuals in the Polish part of BPF. Of them, 45/11 were ‘transborder’ individuals utilising both Polish and Belarussian pits of BPF. Winter densities were c. 3 adult lynx 100 km^-2 and 5 lynx 100 km^-2 if kittens were included. Adult males formed, on average, 29% and reproducing females 23% of all lynx. Subadults and kittens constituted, respectively, 12% and 35% of the population. Sex ratio was 1:1. During the first 3 months of kittens' life, on average 3.3 kittens/mother were recorded; only 1.6 young/mother survived till independence. Mortality of kittens was at least 48%, and the rate of mortality was highest during the early stage of kittens' life. Mean annual reproduction rate of lynx population was 0.59. In the protected population, annual mortality rate of subadult and adult lynx was on average 0.37. Poaching was the most important factor contributing 71% to the total annual mortality rate. During the last 125 years (1869–1994), three periods with relatively low harvest of lynx by man and thus with fairly natural functioning of lynx population, were recorded: before 1875 (density 2–3 lynx 100 km^-2), in 1920–1959 (4–6 lynx 100 km^-2) and after 1970 (2–5 lynx 100 km^-2). The levels of lynx densities were most probably determined by the varying abundance of roe deer Capreolus capreolus and red deer Cervta elaphus (lynx's main prey) in the ungulate community in BPF. Two periods of near extermination of lynx occurred (1890–1914 and 1960–1970), both caused by deliberate persecution of lynx. As soon as persecution was abandoned, lynx population recovered rapidly, mainly due to immigration from vast continuous forests in the east and north-east. Review of the long-term data on lynx dynamics in the Palaearctic revealed that in the Far North-East (Yakutia), the 10-year cycles of lynx and the blue hare Lupus timidus, its main prey, were recorded. Towards west, the cycle period becomes shorter (5–6 years in the Komi region). In the SW regions of the Palaearctic, where lynx relies on ungulates, lynx numbers are more stable but, periodically, also more aflected by man.