江苏盐城自然保护区獐栖息地的质量评价

本研究通过1999 年3 月至2000 年11 月期间的实地调查,利用地理信息系统(GIS)对江苏省盐城自然保护区及周边地区獐在产仔前期、产仔期以及产仔后期栖息地适宜性进行了评价,并对理想状况下獐的潜在栖息地和实际栖息地的范围及分布进行了比较。理想状况下3 个不同时期獐的最适宜栖息地面积分别为361.0 km² 、267. 5 km² 和338. 5 km², 主要分布在保护区核心区、东台市琼港镇南的新东乡滩涂;而实际在各个时期獐的最适宜栖息地面积只有44.75 km² 、36.00 km² 和54. 50 km² ,仅为潜在栖息地的1/7 左右。通过比较獐的潜在栖息地与实际栖息地的综合适宜性指数发现,整个研究地区适合獐生存的栖息地非常少,最适宜栖息地的面积不到总面积的1%,而不适宜的栖息地面积却达到40%,其余大部分均是次适宜的栖息地。由于獐的栖息地受到道路和居民等人为活动的影响,导致大量适宜栖息地丧失。为了有效地保护盐城保护区及周边地区的獐种群,建议减少对滩涂的各种开发活动,保护现有的适宜栖息地,引导当地居民合理利用滩涂资源。     

新疆塔什库尔干自然保护区马可波罗盘羊种群数量和栖息地初步调查

2005 年7 ～8 月我们在塔什库尔干自然保护区对马可波罗盘羊的种群数量进行了调查。首先走访当地居民和保护区工作人员,确定盘羊分布范围,然后根据地形和水系,将调查区域分为Ⅰ、Ⅱ、Ⅲ、Ⅳ 4 个区。在每个调查区域沿河谷和沟谷设置随机样线,步行、骑马或开车沿样线搜寻盘羊,记录群体数量、年龄、性别、栖息地类型。通过调查以盘羊所在地为中心、直径200 m 的圆形样方中的地形和生态因子,确定盘羊利用的栖息地特征值,建立马可波罗盘羊对栖息地利用的模型。以1∶50 000 的地形图建立调查地区的数字高程模型(DEM), 用ArcView3.2 的spatial analyst 模块进行空间模拟与分析,计算出马可波罗盘羊分布区内符合模型中的海拔、坡度、坡向等要求的空间的范围和面积。通过计算每个调查地区的种群密度、适宜栖息地面积等数据,获得种群数量估计值,进而得到保护区内马可波罗盘羊的种群数量的估计值。调查结果表明,马可波罗盘羊分布在保护区西部达布达尔乡的皮斯岭、卡拉其古、赞坎沟等帕米尔高原地区;种群总数在1 500 ～ 1 700 只;保护区内盘羊分布面积为4 012.17 km² ,适宜栖息地面积只有641.16 km² ,可利用的栖息地仅482.67km²,仅占分布区的12.03% 。过牧、栖息地破坏、非法狩猎、疫病和交流障碍是盘羊生存的主要威胁因子。建议通过调整保护区边界、恢复栖息地、防止疫病、加强宣传、开展多边合作等措施来加强马可波罗盘羊的保护问题。     

云南思茅亚洲象对栖息地的选择与利用

以思茅市境内栖居的一个由5 头雌象(3 头成年体, 1 头亚成体, 1 头幼体) 组成的象群为研究对象, 利用痕迹追踪、样线调查和村庄调查等方法对野生亚洲象的栖息地选择和行为进行了初步研究。在栖息地中共记录到野生高等植物457 种, 组成5 种植被类型。旱季象群的活动区域面积是35.67 km² , 该活动区域中有3 个核心活动区, 面积分别是3.65 km² , 2.79 km² 和3.29 km² , 象群对此3 个活动核心区域循环利用; 在旱季亚洲象经常取食19种野生植物, 其中主要取食的有8 种, 还取食7 种农作物, 对农作物有一定依赖性, 这种依赖的程度随着农田周围森林中野生食物丰富程度的增加而降低; 在季雨林中亚洲象主要取食的植物种类最丰富。雨季象群的活动区域面积是18.42 km² , 该区域中只有1 个核心活动区, 面积9.08 km² 。雨季亚洲象只取食5 种野生植物, 另取食5 种农作物, 农作物为其雨季主要食物。研究结果表明, 思茅地区亚洲象栖息地中的野生食物可能不足, 人类活动对亚洲象的生存干扰较为严重, 亚洲象的行为表现出对栖息地内食物条件和人类干扰的适应。建议尽快遏止日益严重的栖息地片断化趋势, 恢复自然植被并为亚洲象提供充足的野生食物是保护该物种的关键。     

卧龙及草坡自然保护区大熊猫的种群与保护

卧龙和草坡自然保护区以保护大熊猫及其生态系统为主, 面积3 224 km2 , 为中国大熊猫分布区最大的保护区。自1974 年以来, 我们经过多次调查, 其栖息地由约2 500 km2 缩减到现今约800 km² 。大熊猫在该地所选择的最适生境在海拔2 800～3 100 m一带的三、四级夷平地带, 面积约4 ×104 hm² 。大熊猫的种群数量, 据1974 年调查有195 只(其中卧龙为145 只) , 1983 年冷箭竹大面积开花后种群有所下降, 而上世纪90 年代以后有所恢复, 现在约有150 只。在保护对策上, 应在4 个隔离种群间退耕还林, 控制交通流量和禁止夜间通行, 扩大保护范围到毗邻的县, 对最适的栖息地实行绝对保护, 并控制旅游规模及旅客流量。     

大熊猫粪团分布型的研究及其应用

动物空间分布格局在昆虫中研究较多,而在大型脊椎动物中研究却较少,这主要是受研究方法的限制。为此,作者对此方法进行了改进,提出了一种新的研究方法,临时空间样方法,并将其应用到冶勒自然保护区大熊猫的调查研究中去。结果表明：（1）大熊猫粪团在野外的分布属于聚集分布,并与负二项分布拟合较好;（2）在冶勒自然保护区,生活有’ 只左右的大熊猫,其密度为0.0325只/km²,如只考虑竹林内的生态密度,也只能达到0.3395～0.5340只/km²,其前景不容观。     

放牧对甘肃多儿保护区大熊猫小种群形成的驱动探讨

小种群是在自然因素或人为活动影响下,形成具有生存风险的隔离或异质种群,认识其形成原因并制定保护对策是开展救护行动的基础。野生大熊猫(Ailuropoda melanoleuca)具有许多相互隔离的小种群,各小种群的生存状况决定该物种的整体保护成效。本文以甘肃多儿保护区大熊猫种群为例,在对保护区内大熊猫进行种群分布、空间利用、干扰状况调查的基础上,开展栖息地适宜性评价,分析了保护区大熊猫有效利用空间及其时空格局与环境容纳量。结果显示：(1)保护区适宜栖息地面积5 789.2 hm²,次适宜栖息地面积18 165.6 hm²,共占保护区总面积43.9%。优质栖息地主要分布在工布龙区域,该区域森林和生态系统保持原生状态,也是保护区大熊猫的主要分布区;(2)工布龙区域总面积9 949.7 hm²,其中适宜和次适宜栖息地共5 129.4 hm²,牧场是大熊猫栖息地的主要干扰因子,放牧干扰下工布龙区域适宜和次适宜栖息地面积共减少12.9%,破碎化水平加剧;(3)牧场与大熊猫栖息地镶嵌分布,导致适宜栖息地隔离,放...     

西双版纳地区土地利用的空间分析

利用西双版纳地区2003年TM数据,对土地利用结构及土地利用与海拔、坡度、水系等自然地理要素相互关系的空间进行分析.结果表明,耕地、林地和草地是该地区土地利用的主体,其中林地面积13 420 km²,占研究区总面积的74%;草地面积3 251 km²,耕地面积2 332 km²,分别占13%和18%.林地、耕地和草地面积随海拔高度具有单峰变化的曲线特征,在海拔1 000～1 200 m处林地分布最多,耕地和草地面积达到峰值时的海拔约为900 m.受人为活动影响强的用地类型坡度指数较低,城乡建筑用地和耕地的坡度指数为5°和14°,人为活动影响较弱的林地草地坡度指数较高,分别为22°和20°.河谷内随缓冲距离增加,土地利用呈现规律性变化,耕地、城镇居民点、未利用地3种土地利用方式主要集中在河谷底部近水域处,远离河谷林地草地组分增加明显.西双版纳地区自然生态系统相对原生,具有林地为基质,河流为廊道,坝区、沟谷农业景观镶嵌分布的特点.     

东台市滩涂生态系统服务价值研究

采用卫星遥感技术以及Costanza等的生态系统服务价值评价方法对江苏省东台市滩涂生态服务系统的面积和服务功能价值变化进行研究.结果表明,在1984～2003年的19年间,东台市滩涂各类生态系统的总面积从108.54 km²自然淤积增加到171.31 km²,增加了57.83%,其中自然生态系统的总面积从60.82 km²减少到21.64 km²,下降64.42%;人为生态系统的总面积从47.72 km²上升到195.23 km²,增加了309.12%.同期,各类滩涂生态系统每年提供的服务总价值上升了76.96%,其中自然生态系统的服务价值从56.26×10⁴美元减少到17.19×10⁴美元,下降69.45%;人为生态系统的服务价值从40.55×10⁴美元上升到154.13×10⁴美元,增加了280.10%.在滩涂生态系统中,自然生态系统面积逐年减少,人为生态系统面积逐年增加,说明东台市滩涂生态系统逐年退化,其自然生态系统服务功能价值的下降与生态系统的退化和面积减少有关.     

基于MaxEnt模型的二郎山廊道大熊猫栖息地适宜性评价

基于地理分布点和环境变量数据,利用MaxEnt模型(Maximum Entropy Modeling)对二郎山廊道大熊猫Ailuropoda melanoleuca栖息地适宜度进行综合评价:坡度、坡向和干扰距离的综合贡献值分别为53.00%、21.90%和18.00%,累积贡献率达92.90%,是影响该区域大熊猫分布的主要生态因子。使用自然断点法将大熊猫栖息地分为不适宜、潜在、适宜和最适宜栖息地4种类型:不适宜栖息地面积为168.45 km~2,占研究区域面积的39.02%;潜在栖息地面积为212.71 km~2,占研究区域面积的49.28%;适宜栖息地和最适宜栖息地面积分别为49.79 km~2和0.68 km~2,两者仅占研究区域面积的11.70%。建议在该廊道开展大熊猫栖息地人工修复项目,以增加该地大熊猫的适宜栖息地面积;同时尽可能减少人类活动对大熊猫栖息地的干扰,以便廊道在促进各种群之间的基因交流中更好地发挥作用。     

黑龙江省完达山地区马鹿生境破碎化及其影响因子

应用景观生态学原理和地理信息系统技术,分析黑龙江省完达山地区马鹿生境相关因子重要性、对景观连接度进行模糊相对赋值,建立了景观连接度评价模型及景观斑块指数,研究了黑龙江省完达山地区关于马鹿生境的景观连接度水平、生境的适宜性以及景观的空间结构。结果表明:(1)在155.6km2的面积中,适宜地区的总面积仅为14.81km2,占研究地区的9.52%;次适宜地区的总面积为9.57km2,占研究地区的6.15%;一般适宜地区的总面积为130.05km2,占研究地区的83.58%;不适宜地区的总面积为1.17km2,占研究地区的0.75%;(2)研究地区马鹿各类适宜地区呈多个斑块且相互隔离,在空间分布上处于破碎状态,而且不适宜地区斑块(人为活动景观)的面积比例虽小,在生态系统中形态上的破碎化程度较小,但对马鹿的生境的生态功能的丧失起到重要作用。     

Impacts of temperature on giant panda habitat in the north Minshan Mountains

Understanding the impacts of meteorological factors on giant pandas is necessary for future conservation measures in response to global climate change. We integrated temperature data with three main habitat parameters (elevation, vegetation type, and bamboo species) to evaluate the influence of climate change on giant panda habitat in the northern Minshan Mountains using a habitat assessment model. Our study shows that temperature (relative importance = 25.1%) was the second most important variable influencing giant panda habitat excepting the elevation. There was a significant negative correlation between temperature and panda presence (ρ = −0.133, P < 0.05), and the temperature range preferred by giant pandas within the study area was 18–21°C, followed by 15–17°C and 22–24°C. The overall suitability of giant panda habitats will increase by 2.7%, however, it showed a opposite variation patterns between the eastern and northwestern region of the study area. Suitable and subsuitable habitats in the northwestern region of the study area, which is characterized by higher elevation and latitude, will increase by 18007.8 hm² (9.8% habitat suitability), while the eastern region will suffer a decrease of 9543.5 hm² (7.1% habitat suitability). Our results suggest that increasing areas of suitable giant panda habitat will support future giant panda expansion, and food shortage and insufficient living space will not arise as problems in the northwest Minshan Mountains, which means that giant pandas can adapt to climate change, and therefore may be resilient to climate change. Thus, for the safety and survival of giant pandas in the Baishuijiang Reserve, we propose strengthening the giant panda monitoring program in the west and improving the integrity of habitats to promote population dispersal with adjacent populations in the east.     

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。     

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.     

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.     

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。     

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。     

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.     

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.