Nature reserve group planning for conservation of giant pandas in North Minshan, China

Formation of nature reserve groups (NRGs) is an important approach for optimising spatial patterns in nature reserves and for improving the efficiency of nature reserve networks. In this study, based on habitat evaluation and connectivity analysis, the approach and method for optimising spatial patterns and functional zoning of reserves were analysed using the case study of giant panda (Ailuropoda melanoleuca) reserves in North Minshan. Results indicated that five panda nature reserves had been established, which formed a reserve group and covered 48.4% of panda habitat and three of five population components. Although the nature reserves were connected to each other, core zones were divided into seven isolated areas. These divisions can reduce the efficiency of protecting giant pandas in reserve systems. To optimise spatial patterns in nature reserves, one new reserve is proposed and it is recommended that core zones be expanded and merged into two areas, in accordance with the spatial distribution of the panda population. Three linkage areas are also proposed—for facilitating panda exchange and movement among different populations. The study is expected to provide a scientific basis for planning the development of nature reserves in this mountain range, to promote the establishment of nature reserve groups in other areas, and to optimise entire nature reserve systems in China.     

区域自然保护区群规划——以秦岭山系为例

自然保护区群的构建对于优化我国自然保护区空间布局、提高自然保护区的保护效果具有重要意义。以大熊猫为主要研究对象,以秦岭山系为研究区域,以生境评价与通达性分析为主要研究方法,探讨了自然保护区群合理布局与功能区优化的程序、内容与方法。研究表明,目前秦岭山系已建与筹建的大熊猫自然保护区17个,自然保护区群初步形成,保护了50%的大熊猫生境,但东部的3个自然保护区尚未全部相连,且整个自然保护区核心区被隔离为20部分,大大影响了自然保护区效果的发挥。为优化自然保护区的布局,建议新建湑水河与锦鸡梁两个自然保护区,以大熊猫居群为基本单位将核心区调整为4个,并且通过3个连接区的建设加强各大熊猫居群的连通性,以促进大熊猫种群间的交流与迁徙。研究结果可为秦岭山系自然保护区建设提供思路与依据,对其它地区自然保护区群的建立及全国自然保护区网络的优化也具有借鉴意义。     

Habitat Assessment for Giant Pandas in the Qinling Mountain Region of China

ABSTRACT Because habitat loss and fragmentation threaten giant pandas (Ailuropoda melanoleuca), habitat protection and restoration are important conservation measures for this endangered species. However, distribution and value of potential habitat to giant pandas on a regional scale are not fully known. Therefore, we identified and ranked giant panda habitat in Foping Nature Reserve, Guanyinshan Nature Reserve, and adjacent areas in the Qinling Mountains of China. We used Mahalanobis distance and 11 digital habitat layers to develop a multivariate habitat signature associated with 247 surveyed giant panda locations, which we then applied to the study region. We identified approximately 128 km²of giant panda habitat in Foping Nature Reserve (43.6% of the reserve) and 49 km²in Guanyinshan Nature Reserve (33.6% of the reserve). We defined core habitat areas by incorporating a minimum patch-size criterion (5.5 km²) based on home-range size. Percentage of core habitat area was higher in Foping Nature Reserve (41.8% of the reserve) than Guanyinshan Nature Reserve (26.3% of the reserve). Within the larger analysis region, Foping Nature Reserve contained 32.7% of all core habitat areas we identified, indicating regional importance of the reserve. We observed a negative relationship between distribution of core areas and presence of roads and small villages. Protection of giant panda habitat at lower elevations and improvement of habitat linkages among core habitat areas are important in a regional approach to giant panda conservation.     

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.     

Assessing vulnerability of giant pandas to climate change in the Qinling Mountains of China

Climate change might pose an additional threat to the already vulnerable giant panda (Ailuropoda melanoleuca). Effective conservation efforts require projections of vulnerability of the giant panda in facing climate change and proactive strategies to reduce emerging climate‐related threats. We used the maximum entropy model to assess the vulnerability of giant panda to climate change in the Qinling Mountains of China. The results of modeling included the following findings: (1) the area of suitable habitat for giant pandas was projected to decrease by 281 km² from climate change by the 2050s; (2) the mean elevation of suitable habitat of giant panda was predicted to shift 30 m higher due to climate change over this period; (3) the network of nature reserves protect 61.73% of current suitable habitat for the species, and 59.23% of future suitable habitat; (4) current suitable habitat mainly located in Chenggu, Taibai, and Yangxian counties (with a total area of 987 km²) was predicted to be vulnerable. Assessing the vulnerability of giant panda provided adaptive strategies for conservation programs and national park construction. We proposed adaptation strategies to ameliorate the predicted impacts of climate change on giant panda, including establishing and adjusting reserves, establishing habitat corridors, improving adaptive capacity to climate change, and strengthening monitoring of giant panda.     

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。     

基于熵值法与变异系数的大熊猫分布区生态系统评价

近年来大熊猫栖息地、竹林的面积与野生种群数量均有较大增长,同时栖息地破碎化与局域种群隔离也有加剧趋势.正确认知当前大熊猫分布区生态系统的状态,对于大熊猫保护至关重要.以大熊猫分布区为研究区域,3次全国大熊猫调查为时间节点,依据等级系统理论对分布区及六大山系生态系统进行分解,联合应用熵值法、变异系数、相关性分析,基于全国大熊猫调查数据与相关文献数据,对分布区及六大山系生态系统演化规律进行了研究.发现在生态系统持续改善的背景下,不同山系生态系统的演化与现状存在差异性,六大山系可以分为3个组别,组内山系的生态系统具有较大共性,组间区别较大;同时,栖息地破碎化与局域种群隔离,造成生态系统质量的普遍下降.应因地制宜地制定差异化的生态保护措施,才能更好地实现各山系大熊猫生态系统的持续改善.     

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.     

Hopes and challenges for giant panda conservation under climate change in the Qinling Mountains of China

One way that climate change will impact animal distributions is by altering habitat suitability and habitat fragmentation. Understanding the impacts of climate change on currently threatened species is of immediate importance because complex conservation planning will be required. Here, we mapped changes to the distribution, suitability, and fragmentation of giant panda habitat under climate change and quantified the direction and elevation of habitat shift and fragmentation patterns. These data were used to develop a series of new conservation strategies for the giant panda. Qinling Mountains, Shaanxi, China. Data from the most recent giant panda census, habitat factors, anthropogenic disturbance, climate variables, and climate predictions for the year 2050 (averaged across four general circulation models) were used to project giant panda habitat in Maxent. Differences in habitat patches were compared between now and 2050. While climate change will cause a 9.1% increase in suitable habitat and 9% reduction in subsuitable habitat by 2050, no significant net variation in the proportion of suitable and subsuitable habitat was found. However, a distinct climate change‐induced habitat shift of 11 km eastward by 2050 is predicted firstly. Climate change will reduce the fragmentation of suitable habitat at high elevations and exacerbate the fragmentation of subsuitable habitat below 1,900 m above sea level. Reduced fragmentation at higher elevations and worsening fragmentation at lower elevations have the potential to cause overcrowding of giant pandas at higher altitudes, further exacerbating habitat shortage in the central Qinling Mountains. The habitat shift to the east due to climate change may provide new areas for giant pandas but poses severe challenges for future conservation.     

汶川地震对都江堰地区大熊猫生境的影响

为了明确汶川地震破坏区的空间分布特征及其对大熊猫生境的影响,选择在都江堰地区采用遥感数据解译和GIS模型分析相结合的方法进行了此项研究。研究结果表明：汶川地震及其产生的滑坡、泥石流等次生灾害造成的植被破坏区面积为12862hm^2,其中78．64％的破坏区位于龙溪虹口自然保护区内部。地震破坏区在空间上主要分布在海拔1400—2400m,坡度20～55°之间的山坡上。地震造成都江堰地区21．63％的大熊猫生境丧失,其中海拔2200～3000m之间的大熊猫生境丧失比例较大。大熊猫生境破碎化程度严重,震后的生境斑块数量是震前的7．7倍。龙溪虹口自然保护区的大熊猫生境丧失更为严重,其丧失比例为32．15％,而保护区外部的大熊猫生境丧失较轻,其丧失比例为9．83％。地震造成该地区大熊猫生境丧失严重,生境破碎化加剧,为了增加大熊猫可利用的生境,在震后恢复重建中应当避免在大熊猫生境中开展旅游。     

Identifying core habitats and corridors for giant pandas by combining multiscale random forest and connectivity analysis

Habitat loss and fragmentation are widely acknowledged as the main driver of the decline of giant panda populations. The Chinese government has made great efforts to protect this charming species and has made remarkable achievements, such as population growth and habitat expansion. However, habitat fragmentation has not been reversed. Protecting giant pandas in a large spatial extent needs to identify core habitat patches and corridors connecting them. This study used an equal‐sampling multiscale random forest habitat model to predict a habitat suitability map for the giant panda. Then, we applied the resistant kernel method and factorial least‐cost path analysis to identify core habitats connected by panda dispersal and corridors among panda occurrences, respectively. Finally, we evaluated the effectiveness of current protected areas in representing core habitats and corridors. Our results showed high scale dependence of giant panda habitat selection. Giant pandas strongly respond to bamboo percentage and elevation at a relatively fine scale (1 km), whereas they respond to anthropogenic factors at a coarse scale (≥2 km). Dispersal ability has significant effects on core habitats extent and population fragmentation evaluation. Under medium and high dispersal ability scenarios (12,000 and 20,000 cost units), most giant panda habitats in the Qionglai mountain are predicted to be well connected by dispersal. The proportion of core habitats covered by protected areas varied between 38% and 43% under different dispersal ability scenarios, highlighting significant gaps in the protected area network. Similarly, only 43% of corridors that connect giant panda occurrences were protected. Our results can provide crucial information for conservation managers to develop wise strategies to safeguard the long‐term viability of the giant panda population.     

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.     

Population genetics reveals high connectivity of giant panda populations across human disturbance features in key nature reserve

The giant panda is an example of a species that has faced extensive historical habitat fragmentation, and anthropogenic disturbance and is assumed to be isolated in numerous subpopulations with limited gene flow between them. To investigate the population size, health, and connectivity of pandas in a key habitat area, we noninvasively collected a total of 539 fresh wild giant panda fecal samples for DNA extraction within Wolong Nature Reserve, Sichuan, China. Seven validated tetra‐microsatellite markers were used to analyze each sample, and a total of 142 unique genotypes were identified. Nonspatial and spatial capture–recapture models estimated the population size of the reserve at 164 and 137 individuals (95% confidence intervals 153–175 and 115–163), respectively. Relatively high levels of genetic variation and low levels of inbreeding were estimated, indicating adequate genetic diversity. Surprisingly, no significant genetic boundaries were found within the population despite the national road G350 that bisects the reserve, which is also bordered with patches of development and agricultural land. We attribute this to high rates of migration, with four giant panda road‐crossing events confirmed within a year based on repeated captures of individuals. This likely means that giant panda populations within mountain ranges are better connected than previously thought. Increased development and tourism traffic in the area and throughout the current panda distribution pose a threat of increasing population isolation, however. Maintaining and restoring adequate habitat corridors for dispersal is thus a vital step for preserving the levels of gene flow seen in our analysis and the continued conservation of the giant panda meta‐population in both Wolong and throughout their current range.     

Impact of road construction on giant panda’s habitat and its carrying capacity in Qinling Mountains

The Qinling giant panda (Ailuropoda melanoleuca) is an endangered endemic species to China. Despite ongoing efforts to ensure its conservation, concerns about maintaining its populations persist. We used GIS fed with data on land use including road network of 2001, third national giant panda survey, and a digital elevation model (DEM) to assess the impact of road construction on giant panda habitat, and estimate the carrying capacity of the Qinling Mountain area. We assessed habitat suitability with a mechanistic model, and conducted correlation analysis to evaluate relationship between the extent of giant panda habitat and amount of sites occupied by pandas within of 5 km × 5 km grid. We also estimated the carrying capacity of the Qinling Mountainous Area.
Our results revealed a significant correlation (R² = 0.447, P < 0.01) between the number of sites with signs left by giant panda and the extent of habitat within of 5 km × 5 km grid. The minimum habitat area that can support one panda was 10 km². Before the road network construction, the area of habitat suitable for the panda amounted about 1561 km² and that of marginally suitable habitat about 1499 km². The corresponding carrying capacity represented about 240 individuals. After the road network construction, the suitable habitat area was reduced by nearly 30% to 1093 km². Marginally suitable habitat and unsuitable habitat have both increased by 17% and 1%, respectively. As a result, the potential population size which the habitat could support was reduced to 217 individuals. The study results also suggested that most impacts on habitat from road construction took place in the high elevation areas above 1500 m. However, regarding the impact on the giant panda habitat, road networks developed much more inside the current nature reserves than outside of them.     

Impact of road construction on giant panda’s habitat and its carrying capacity in Qinling Mountains

The Qinling giant panda (Ailuropoda melanoleuca) is an endangered endemic species to China. Despite ongoing efforts to ensure its conservation, concerns about maintaining its populations persist. We used GIS fed with data on land use including road network of 2001, third national giant panda survey, and a digital elevation model (DEM) to assess the impact of road construction on giant panda habitat, and estimate the carrying capacity of the Qinling Mountain area. We assessed habitat suitability with a mechanistic model, and conducted correlation analysis to evaluate relationship between the extent of giant panda habitat and amount of sites occupied by pandas within of 5 km × 5 km grid. We also estimated the carrying capacity of the Qinling Mountainous Area.
Our results revealed a significant correlation (R² = 0.447, P < 0.01) between the number of sites with signs left by giant panda and the extent of habitat within of 5 km × 5 km grid. The minimum habitat area that can support one panda was 10 km². Before the road network construction, the area of habitat suitable for the panda amounted about 1561 km² and that of marginally suitable habitat about 1499 km². The corresponding carrying capacity represented about 240 individuals. After the road network construction, the suitable habitat area was reduced by nearly 30% to 1093 km². Marginally suitable habitat and unsuitable habitat have both increased by 17% and 1%, respectively. As a result, the potential population size which the habitat could support was reduced to 217 individuals. The study results also suggested that most impacts on habitat from road construction took place in the high elevation areas above 1500 m. However, regarding the impact on the giant panda habitat, road networks developed much more inside the current nature reserves than outside of them.     

野生大熊猫现状、面临的挑战及展望

截至2003年底,我国野生大熊猫种群数量达1596只,分布在陕西、四川和甘肃3省的45个县境内,总栖息地面积达2304991hm^2。与第2次大熊猫调查相比,野生大熊猫生存状况已得到改善,分布范围扩大、栖息地面积增加、种群数量进一步增长。本文在第3次大熊猫调查的基础上,就野生大熊猫种群及栖息地现状进行了分析,指出未来保护大熊猫所面临的3个方面的挑战,即来自物种自身生物学特性的挑战、栖息地破碎化及隔离小种群未来命运的挑战以及大熊猫保护与社区经济发展需求相冲突的挑战。作者还就我国大熊猫保护前景进行了展望,即自然保护区数量将进一步增加,栖息地状况将进一步改善;种群数量在总体保持稳定的基础上将逐步增长,但局部小种群灭绝风险将加剧;圈养种群将形成能自我维持的种群,圈养个体通过培训将逐步放归到隔离野生小种群中以改变其命运。     

四川小相岭山系大熊猫种群及栖息地调查

小相岭山系是现存大熊猫种群数量最少的山系之一。根据全国第3次大熊猫及其栖息地调查结果,小相岭山系大熊猫栖息地分布在石棉、冕宁和九龙三县,栖息地总面积802.04 km²,大熊猫种群数量有32只。大熊猫在3个位于小相岭山系的自然保护区内种群数量和栖息地面积分别为:四川冶勒自然保护区9只,栖息地面积168.01 km²;四川栗子坪自然保护区14只,栖息地面积306.38 km²;四川贡嘎山自然保护区1只,栖息地面积15.19 km²。在3个保护区大熊猫栖息地总面积为489.58 km²,占各山系大熊猫栖息地总面积的61.05%;有大熊猫24只,占大熊猫种群数量的75.0%。小相岭山系大熊猫meta种群栖息地片段化比较严重,它由2个种群和2个孤立分布点组成。南北方向从成都至昆明的108国道以东的种群A有大熊猫13只,栖息地面积263.54 km², 完整性较好,大熊猫分布比较集中。108国道以西的种群B有大熊猫19只,栖息地面积为538.50 km²,栖息地破碎。该山系大熊猫数量少,栖息地片段化严重,需加强保护。
     

卧龙自然保护区大熊猫生境恢复过程研究

保护与恢复生境是有效保护大熊猫的重要途径,通过样方调查法研究了卧龙自然保护区大熊猫（Ａｉｌｕｒｏｐｏｄａ　ｍｅｌａｎｏｌｅｕｃａ）恢复生境的群落结构特征,共调查了原始生境、２０世纪２０一３０年代砍伐后自然恢复生境、４０一５０年代砍伐后自然恢复生境、７０年代以后自然恢复生境以及６０一７０年代人工林等５个生境类型,２１个样方。研究结果表明：各生境类型的物种丰富度、物种多样性、植株数（高度＞５ｍ）、乔木层的平均胸径和最大平均胸径,以及大熊猫的生境成熟度都存在显著差异,竹子的生物量及更新能力也有一定差异。人工林与原始生境的群落相似性低于其他自然恢复生境与原始生境的群落相似性。研究发现,大熊猫生境恢复包括大熊猫可食竹类资源的恢复以及生境群落结构的恢复。可食竹类资源恢复所需时间相对较短,仅需约２０一３０ａ;生境的植物群落结构的恢复则要长的多,一般恢复时间５０ａ左右才能成为大熊猫的适宜生境,恢复时间为７０一８０ａ的生境与原始生境的群落结构已十分接近。通过人工造林恢复生境,无论从竹子资源的恢复,还是从植物群落结构的恢复方面,均不是一种有效地恢复大熊猫生境的方式。     

甘肃白水江国家级自然保护区林缘社区饲养犬只对大熊猫时空节律的影响

人类对于野生动物的影响复杂多样, 其中家养动物所产生的干扰往往被忽视, 例如保护区林缘社区饲养的家犬。半散放的家犬(Canis familiaris)进入野生动物栖息地, 对保护区内以大熊猫(Ailuropoda melanoleuca)为代表的野生动物可能产生重要影响。为明确家犬进入林区活动范围对大熊猫的影响, 本研究采用红外相机技术和GPS项圈无线追踪技术对甘肃白水江国家级自然保护区内家犬对大熊猫潜在栖息地范围和时间节律的影响进行研究, 利用MaxEnt模型对家犬活动范围及大熊猫潜在栖息地进行预测。结果表明: 甘肃白水江国家级自然保护区内大熊猫潜在栖息地面积为885.8 km², 约占保护区总面积的48.2%; 家犬活动面积为861.2 km², 约占保护区总面积的47.6%。家犬活动范围与大熊猫潜在栖息地重叠的面积约占保护区面积的28.2%, 且多集中在低海拔的常绿阔叶林。大熊猫在有家犬出现的位点和没有家犬出现的位点日活动节律具有显著差异。本研究揭示了家犬进入林区对大熊猫栖息地潜在影响的空间范围, 为保护区开展生物多样性管理提供了关键信息, 对于其他保护区具有借鉴意义。     

Evaluating Landscape Options for Corridor Restoration between Giant Panda Reserves

The establishment of corridors can offset the negative effects of habitat fragmentation by connecting isolated habitat patches. However, the practical value of corridor planning is minimal if corridor identification is not based on reliable quantitative information about species-environment relationships. An example of this need for quantitative information is planning for giant panda conservation. Although the species has been the focus of intense conservation efforts for decades, most corridor projects remain hypothetical due to the lack of reliable quantitative researches at an appropriate spatial scale. In this paper, we evaluated a framework for giant panda forest corridor planning. We linked our field survey data with satellite imagery, and conducted species occupancy modelling to examine the habitat use of giant panda within the potential corridor area. We then conducted least-cost and circuit models to identify potential paths of dispersal across the landscape, and compared the predicted cost under current conditions and alternative conservation management options considered during corridor planning. We found that due to giant panda''s association with areas of low elevation and flat terrain, human infrastructures in the same area have resulted in corridor fragmentation. We then identified areas with high potential to function as movement corridors, and our analysis of alternative conservation scenarios showed that both forest/bamboo restoration and automobile tunnel construction would significantly improve the effectiveness of corridor, while residence relocation would not significantly improve corridor effectiveness in comparison with the current condition. The framework has general value in any conservation activities that anticipate improving habitat connectivity in human modified landscapes. Specifically, our study suggested that, in this landscape, automobile tunnels are the best means to remove current barriers to giant panda movements caused by anthropogenic interferences.