秦岭大熊猫冬春季节对巴山木竹竹林生长指标的选择

2004~2005年冬季的12月、1月和春季的4月、5月,在秦岭山系南坡佛坪自然保护区内就大熊猫对构成其主要栖息地和食物来源的巴山木竹竹林的选择进行研究后的结果表明:在冬季,大熊猫栖息地多为幼竹与死竹比例基本持平、密度稳定的巴山木竹竹林,主要取食老竹;在春季,大熊猫更偏好选择竹子密度和盖度略低、竹子粗壮高大、幼竹与竹笋比例高的竹林活动,主要取食幼竹。大熊猫春季栖息地幼竹比例通常高过死竹比例,竹林密度处于增长期。竹林进入发笋期后,稀疏、高大的竹林下的粗大竹笋成为大熊猫的主要食物来源。     

秦岭大熊猫冬春季节对巴山木竹竹林生长指标的选择

2004～2005年冬季的12月、1月和春季的4月、5月，在秦岭山系南坡佛坪自然保护区内就大熊猫对构成其主要栖息地和食物来源的巴山木竹竹林的选择进行研究后的结果表明：在冬季，大熊猫栖息地多为幼竹与死竹比例基本持平、密度稳定的巴山木竹竹林，主要取食老竹；在春季，大熊猫更偏好选择竹子密度和盖度略低、竹子粗壮高大、幼竹与竹笋比例高的竹林活动，主要取食幼竹。大熊猫春季栖息地幼竹比例通常高过死竹比例，竹林密度处于增长期。竹林进入发笋期后，稀疏、高大的竹林下的粗大竹笋成为大熊猫的主要食物来源。     

同域分布大熊猫和水鹿生境利用分异特征

野生动物的生境利用特征研究是动物生态学核心问题之一,同域分布动物对生境的利用特征及共存机制是其重要组成部分,也是实现珍稀濒危物种保护与栖息地恢复的基础。基于空间利用和生境因子选择差异研究了卧龙自然保护区同域分布大熊猫(Ailuropoda melanoleuca)和水鹿(Rusa unicolor)的生境利用关系,探讨了同域分布野生动物在生境因子选择和空间利用的分异特征。结果表明:(1)空间利用上,大熊猫和水鹿的空间重叠系数为58.35%,其中,在原始林和次生林生境中的空间重叠系数分别为66.58%和36.64%,二者在原始林中的空间重叠较高;(2)生境因子选择上,大熊猫和水鹿对物理因子的选择有坡位、离小路距离和离水源距离3个变量有显著性差异,对生物因子的选择有乔木密度、灌木盖度、灌木密度、竹林盖度、幼竹密度、幼竹基径、幼竹高度、成竹高度和死竹密度9种变量有显著性差异;(3)大熊猫和水鹿都表现为更偏好原始林生境,但大熊猫对原始林的依赖性更强。分析同域分布动物的生境利用关系有利于深入了解不同动物对资源的空间利用特征及共存机制,可以为保护区制定珍稀野生动物保护和栖息地恢复政策提供科学依据。     

大熊猫资源调查中使用地形图的有关方法

大熊猫资源调查中,要求查清大熊猫的数量、分布、栖息地环境、可食竹类面积、竹子开花面积、竹子更新面积等情况和数据。要获得这些资料,除了在现场填写调查表格外,还要利用地形图现场构绘所需要的各种面积,标定大熊猫活动的踪迹、去向、粪便、卧穴的位置,研究调查路线的敷设等,使其一目了然,便于进行数量分析。笔者经过北川试点现场实践,就有关方法与要求作一简单介绍,供有关工作者参考。一、面积的构绘面积构绘包括大熊猫栖息地面积、可食竹类面积、竹子开花面积、竹子更新面积等。由于这些面积多被森林复盖,在制高点上只能看到林相外貌,…     

大熊猫栖息地亚高山针叶林结构和动态特征

亚高山针叶林是大熊猫适宜的栖息环境 ,其结构和动态规律严重影响大熊猫的生存和繁衍及其进化潜力的维持 ,是恢复退化大熊猫栖息地的唯一科学依据。通过样方法和中心点四分法调查了大熊猫栖息地 4个亚高山针叶林样地和该样地所在森林的 6 2个林窗 ,研究了该类森林的结构及其更新与大熊猫主食竹生长、林窗干扰的关系 ,以期揭示亚高山针叶林的动态规律 ,为大熊猫栖息地的恢复提供科学依据。研究结果表明 :岷江冷杉 Abies faxoniana和紫果云杉 Picea purpurea是亚高山针叶林的主体 ,其所构成的森林是大熊猫重要的栖息环境。岷江冷杉种群年龄呈现连续分布格局 ,而紫果云杉种群年龄呈间歇性分布 ,其在 2 5 0～ 5 0 0 a之间没有更新。该类森林中普遍存在着林窗干扰和更新现象 ,90 %的林窗下分布有岷江冷杉和紫果云杉更新的幼苗、幼树和大树。但林窗内不同树种更新密度不同 :岷江冷杉更新幼苗、幼树和大树占所有更新树种的 82 .5 % ,而紫果云杉和糙皮桦的更新幼苗、幼树和大树占 11.3%。岷江冷杉和紫果云杉的更新同时受林下大熊猫主食竹生长状况的影响 :主食竹盖度高 ,更新树种幼苗、幼树的密度低 ,即主食竹的生长抑制了岷江冷杉和紫果云杉的更新。     

巴山木竹发笋和大熊猫取食的时空格局及相关性分析

巴山木竹(Bashania fargesii)是秦岭大熊猫冬季和春季主要食物来源。秦岭地区巴山木竹的更新是保护大熊猫和评价其生境质量的一个重要因子, 而发笋是巴山木竹更新的主要方式。揭示巴山木竹发笋和大熊猫取食的时空格局以及二者空间和数量上的相关性对保护和恢复大熊猫栖息地具有重要意义。运用单变量和双变量Ripley K函数点格局方法, 对秦岭南坡佛坪国家级自然保护区40×40 m永久样地竹子发笋和大熊猫取食情况连续6年(2002–2008年, 2007年除外)研究表明, 由于自身克隆生长、资源异质性、大熊猫取食和践踏等因素, 巴山木竹发笋呈现聚集分布格局; 而大熊猫取食的聚集格局可能归因于食物聚集分布、自身取食习惯和取食地段小地形特征。大熊猫取食和巴山木竹发笋空间上呈现正相关, 显示出巴山木竹为秦岭大熊猫食物主要来源。同时, 线性回归结果显示, 大熊猫取食强度与巴山木竹发笋产量之间相关性不显著, 说明该地区还存在其他竹子提供食物来源, 大熊猫对巴山木竹不是完全依赖。     

汶川地震对大熊猫栖息地的影响与恢复对策

 大熊猫是生物多样性保护的旗舰种, 保护大熊猫及其栖息地是保护生物多样性和生态系统功能完整性与稳定性的重要保障体现。汶川地震灾区位于大熊猫重点分布区岷山-邛崃山, 地震及其次生灾害导致该区27个大熊猫自然保护区不同程度受损, 8.3%的大熊猫栖息地因地震而被破坏。地震及其次生灾害对大熊猫栖息地的影响主要表现在: 1) 地震埋没和砸毁大熊猫赖以生存的主食竹, 地震可能诱发主食竹开花, 威胁到大熊猫的健康和食物安全; 2) 地震及其诱发的土壤和山石运动显著影响森林的动态特征, 森林大面积丧失或质量下降; 3) 地震改变大熊猫栖息地生境特征, 大熊猫个体交流的廊道阻断, 形成“生殖孤岛”, 遗传多样性降低, 栖息地破碎化进程加快。应对震后大熊猫栖息地恢复的主要对策有: 1) 重新评估震后大熊猫栖息地质量, 并重新规划现有大熊猫保护区群的布局; 2) 应用地理信息系统、遥感及数学模型等手段与野外实地实证研究相结合的方法, 全面查清震后大熊猫栖息地主食竹资源状况及分布规律并及时监测其动态, 复壮更新大熊猫主食竹; 3) 利用天然植被自然恢复和人工重建等措施恢复因地震而退化或丧失的大熊猫栖息地。     

野化培训大熊猫采食和人为砍伐对拐棍竹无性系种群结构的影响

2003—2007年,采用样方法和定位观察法测量了卧龙自然保护区拐棍竹无性系种群密度、地径和高度,研究野化培训大熊猫采食和人为砍伐对拐棍竹无性系种群更新的影响;并用Weibull概率密度分布函数的尺度和形状参数比较分析了不同处理方式(大熊猫采食、人为砍伐和对照)对拐棍竹无性系种群结构(年龄、径级和高度级)的影响.结果表明:在相同种群数量和环境条件的基础上,大熊猫采食和人为砍伐有利于拐棍竹的无性系更新,经过3年多的自然恢复,竹子的种群密度趋于一致,并达到较稳定的状态.大熊猫采食样方的拐棍竹径级和高度级分布曲线、尺度参数和形状参数与对照样方无明显差异;而人为砍伐样方的分布曲线大多呈倒"J"型,且尺度参数和形状参数均明显小于大熊猫采食和对照样方,当年生竹笋和多年生竹的生长质量远不及大熊猫采食影响下的竹子种群,难以达到大熊猫取食的选择标准.     

太白山巴山冷杉林主要树种与开花秦岭箭竹的空间点格局分析

采用单变量和双变量O-ring函数对太白山大熊猫栖息地巴山冷杉林主要树种的空间分布格局、种间关联性及其与林下开花箭竹的空间关联性进行了多尺度分析.结果表明: 巴山冷杉林中,巴山冷杉数量最多,但种群结构衰退,白桦种群相对年轻,种群结构稳定,红桦种群也呈衰退趋势;3个主要树种在小尺度上呈聚集分布,随尺度增加,逐渐表现为随机分布.3个树种的空间关联性主要表现在小尺度范围内,随尺度增加,空间分布格局逐渐表现为不关联;巴山冷杉和白桦与开花秦岭箭竹在大、中尺度内呈现正相关,而红桦与开花秦岭箭竹在大、中尺度上表现出负相关.大熊猫栖息地内乔木和林下秦岭箭竹共同推动森林的动态演替和发展,进而影响秦岭大熊猫栖息地的环境变化.     

四川栗子坪自然保护区夏季大熊猫食性与主食竹生物量的关系

<正>竹子是大熊猫(Ailuropoda melanoleuca)的主要食物,是大熊猫赖以生存的物质基础(胡锦矗等,1985;胡锦矗,2001)。竹子生物量对大熊猫觅食乃至生存、繁衍等具有至关重要的影响。然而,竹子生物量随竹子种类、竹株部位和龄级以及生长环境的不同而可能具有明显差异(胡锦矗,1981;魏辅文等,1996)。截止目前,田星群(1989)等对秦岭大熊猫分布区的竹类资源进行了调查,黄华梨和杨飞虞(1990)、胡杰等(2000)分别对岷山山系大熊猫栖息地内竹子种类、主食竹     

Application of ecological-niche factor analysis in habitat assessment of giant pandas

Ecological-niche factor analysis (ENFA) is a multivariate approach to study geographic distribution of species on a large scale with only “presence” data. It has been widely applied in many fields including wildlife management, habitat assessment and habitat prediction. In this paper, this approach was applied in habitat suitability assessment for giant pandas in Pingwu County, Sichuan Province, China. With “presence” data of giant pandas and remote sensing data, habitat suitability of pandas in this county was evaluated based on ENFA model, and spatial distribution pattern of nature reserves and conservation gaps were then evaluated. The results show that giant pandas in this county prefer high-elevation zones (> 2128 m) dominated by coniferous forest, and mixed coniferous and deciduous broadleaf forest, and avoid deciduous broadleaf forest and shrubs. Pandas avoid staying at habitats with human disturbances. Farmland is a major factor threatening panda habitat. Panda habitat is mainly distributed in north and west of Pingwu with a total area of 234033 hm², 106345hm² for suitable habitat and 127688 hm² for marginally suitable habitat). 3 nature reserves were located in Pingwu, covering over 49.2% of total suitable habitat and 45.6% of total marginally suitable habitat. Although 47.2% of panda habitat was in reserves under protection, connectivity between reserves was weak and a conservation gap existed in the north part of Pingwu. Thus, a new nature reserve in Baima and Mupi should be established to link the isolated habitats.     

Impact of livestock on giant pandas and their habitat

Livestock production is one of the greatest threats to biodiversity worldwide. However, impacts of livestock on endangered species have been understudied, particularly across the livestock–wildlife interface in forested protected areas. We investigated the impact of an emerging livestock sector in China's renowned Wolong Nature Reserve for giant pandas. We integrated empirical data from field surveys, remotely sensed imagery, and GPS collar tracking to analyze (1) the spatial distribution of horses in giant panda habitat, (2) space use and habitat selection patterns of horses and pandas, and (3) the impact of horses on pandas and bamboo (panda's main food source). We discovered that the horse distribution overlapped with suitable giant panda habitat. Horses had smaller home ranges than pandas but both species showed similarities in habitat selection. Horses consumed considerable amounts of bamboo, and may have resulted in a decline in panda habitat use. Our study highlights the need to formulate policies to address this emerging threat to the endangered giant panda. It also has implications for understanding livestock impacts in other protected areas across the globe.     

Characterizing the spatial distribution of giant pandas (Ailuropoda melanoleuca) in fragmented forest landscapes

Aim To examine the effects of forest fragmentation on the distribution of the entire wild giant panda (Ailuropoda melanoleuca) population, and to propose a modelling approach for monitoring the spatial distribution and habitat of pandas at the landscape scale using Moderate Resolution Imaging Spectro‐radiometer (MODIS) enhanced vegetation index (EVI) time‐series data. Location Five mountain ranges in south‐western China (Qinling, Minshan, Qionglai, Xiangling and Liangshan). Methods Giant panda pseudo‐absence data were generated from data on panda occurrences obtained from the third national giant panda survey. To quantify the fragmentation of forests, 26 fragmentation metrics were derived from 16‐day composite MODIS 250‐m EVI multi‐temporal data and eight of these metrics were selected following factor analysis. The differences between panda presence and panda absence were examined by applying significance testing. A forward stepwise logistic regression was then applied to explore the relationship between panda distribution and forest fragmentation. Results Forest patch size, edge density and patch aggregation were found to have significant roles in determining the distribution of pandas. Patches of dense forest occupied by giant pandas were significantly larger, closer together and more contiguous than patches where giant pandas were not recorded. Forest fragmentation is least in the Qinling Mountains, while the Xiangling and Liangshan regions have most fragmentation. Using the selected landscape metrics, the logistic regression model predicted the distribution of giant pandas with an overall accuracy of 72.5% (κ = 0.45). However, when a knowledge‐based control for elevation and slope was applied to the regression, the overall accuracy of the model improved to 77.6% (κ = 0.55). Main conclusions Giant pandas appear sensitive to patch size and isolation effects associated with fragmentation of dense forest, implying that the design of effective conservation areas for wild giant pandas must include large and dense forest patches that are adjacent to other similar patches. The approach developed here is applicable for analysing the spatial distribution of the giant panda from multi‐temporal MODIS 250‐m EVI data and landscape metrics at the landscape scale.     

气候变化对邛崃山系大熊猫主食竹和栖息地分布的影响

气候变化对生物多样性的影响,特别是珍稀濒危物种的影响是当前的研究热点。全球气候变化对大熊猫的影响一直受到广泛关注。根据野外调查的大熊猫活动痕迹点、竹类分布点和主食竹扩散距离数据,采用Maxent模型,利用植被、地形、气候等因素,在RCP8.5下分析了2050年和2070年邛崃山系大熊猫主食竹分布及栖息地变化趋势。结果显示:(1)未来大熊猫适宜生境及主食竹气候适宜区面积均有所减少,到2070年分别减少37.2%和4.7%;(2)未来主食竹分布范围总体向高海拔扩展,但面积持续减少,到2070年分布面积比当前减少8.3%;(3)大熊猫栖息地未来有向高海拔扩张的趋势,在低海拔地区退缩明显,到2070年较当前减少27.2%;但到2070年大熊猫栖息地面积加上非栖息地有主食竹分布的面积,较现有大熊猫栖息地面积大1.5%;(4)受气候变化影响较严重的区域是邛崃山系南部以及低海拔地区,其余区域所受影响相对较小;(5)未来需要加强对受气候变化影响严重区域的监测与保护,特别是邛崃山系中部的大熊猫集中分布区。     

Integrating population size analysis into habitat suitability assessment: implications for giant panda conservation in the Minshan Mountains,China

Compared to conventional approaches, the integration of population size analysis with habitat suitability assessment on a large scale can provide more evidence to explain the mechanisms of habitat isolation and fragmentation, and thus make regional conservation plans. In this paper, we analyzed the habitat suitability for giant pandas in the Minshan Mountains, China, using the ecological-niche factor analysis (ENFA) method, and then evaluated the current conservation status of this endangered species. The results showed that (1) giant pandas were distributed in a narrow altitudinal range in which vegetation cover was dominated by coniferous forest, mixed coniferous and deciduous broadleaf forest, and deciduous broadleaf forest with scattered bamboo understory, and (2) roads and human settlements had strong negative effects on the panda habitat selection. According to habitat analysis, the total habitat area of giant panda in the Minshan Mountains was 953,173 ha, which was fragmented into 12 habitat units by major roads, rivers, and human settlements. The habitat of the mid-Minshan was less fragmentized, but was seriously fragmented in the north. The panda population size estimation showed that 676 individuals inhabited the study area, and 94.53% of them were in the mid-Minshan, but small panda populations less than 30 individuals inhabited the isolated and fragmented habitat patches in the north. The nature reserves in the Minshan Mountains have formed three conservation groups, which covered 41.26% of panda habitat and protected 70.71% of panda population of the study area, but there still exists two conservation gaps, and the connectivity among these reserves is still weak. Due to habitat isolation and extensive human disturbances, giant pandas in the north (i.e., Diebu, Zhouqu, and Wudou) are facing threats of local extinction. In order to protect pandas and their habitats in this area, some effective conservation approaches, such as establishing new reserves in gap areas, creating corridors among patches, and seasonally controlling traffic flux in key roads, should be implemented in the future to link these isolated habitats together.     

卧龙自然保护区大熊猫生境评价

生物的生境是指生物生活繁衍的场所,由生物与非生物环境构成。近几个世纪以来,物种绝灭的速度加快,生物多样性丧失最重要的原因是生物生境的人为破坏。对保持生物的生境评价,是分析这些物种种群减少,濒危原因的重要手段,还能为制定合理的保护对策提供依据。根据大熊猫生境分布特点提出了大熊猫生境结构理论模型,将影响卧龙大熊猫生境质量的因素分为物理环境因素、生物环境因素和人类活动因素,探讨了生境评价的程序与卧龙大熊猫生境评价准则,运用地理信息系统技术与空间模拟方法分析了卧龙大熊猫生境质量。在人类活动影响下,卧龙自然保护区内适宜大熊猫生存的生境面积有57597.3hm^2,其中最适生境面积为6256.1hm^2,主要分布在海拔2300－2800m的平缓山坡与台地。     

Synergistic effects of anthropogenic disturbances on giant pandas

Livestock grazing and the collection of bamboo shoots are the main threats to giant panda (Ailuropoda melanoleuca) habitat in the Liangshan Mountains in China. It is important to clarify the effect of these disturbances to the giant panda to formulate targeted management policies. Based on species distribution models and daily activity models, we investigated the effects of livestock grazing and bamboo shoot collection on giant pandas from May 2021 to July 2022. Our results indicated the giant panda's suitable habitat in the reserve covered 51.83 km² (15.02% of the reserve area). Grazing and bamboo shoot collection led to losses of 19.08 km² and 7.68 km² of suitable habitat, respectively. Together, the 2 activities resulted in a loss of 28.35 km² of suitable habitat, which was more than half of the area of panda habitat. The areas of suitable habitat for giant pandas significantly overlapped with the areas affected by both disturbances. Giant pandas did not show significant differences in daily activity rhythms under a single disturbance, but the daily activity rhythms of giant pandas differed when we compared the area combining the 2 disturbances with the undisturbed area. Our study reveals that the anthropogenic disturbances in the reserve have varying effects on the suitable habitat range and daily activity rhythm of giant pandas and evidence of a synergistic effect. Therefore, when formulating relevant conservation policies, it is important to fully evaluate the extent and characteristics of anthropogenic disturbances in shaping the population distribution and habitat preferences of the giant panda and other wildlife to enhance the efficacy of conservation management practices.     

Back-and-forth shifts in habitat selection by giant pandas over the past two decades in the Daxiangling Mountains,southwestern China

Habitat selection is a complex process, and animals may change their habitat selection over time. However, we have a poor understanding of temporal variation in habitat selection of endangered giant pandas (Ailuropoda melanoleuca), which has limited the development of conservation strategies for them. This study examined giant panda habitat selection in three stages of the past two decades (2001–2002, 2011–2012, and 2019–2020) in the Daxiangling Mountains, southwestern China. We applied the resource selection function to estimate the probability of species occurrence with five limiting habitat factors, i.e., elevation, slope, aspect, tree diameter at breast height, and bamboo cover. We found that giant pandas consistently selected for south- and west-facing slopes with mid-elevations and large trees in the three stages. However, there were shifts back-and-forth in the choice between higher and lower elevations and between higher and lower bamboo cover across the three stages. We suggest that the giant panda habitat selection had important consequences for gaining the high availability of palatable bamboo and good shelters. The back-and-forth shifts might be the result of changes in the type, spatial distribution, and intensity of human disturbance. Our study provides insights for improving our understanding and approaches for quantifying temporal variation in habitat selection in giant pandas and other species, suggesting that adaptive conservation and management in response to changing environments is needed.