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1.
贺兰山岩羊(Pseudois nayaur)夏季取食和卧息生境选择   总被引:3,自引:1,他引:2  
采用直接观察法和痕迹检验法对贺兰山岩羊夏季取食和卧息生境选择进行研究.结果表明,夏季岩羊偏好的取食地位于海拔高度1 600~2 000 m的山地疏林草原带,地形为平滑起伏的坡、明显断裂的坡和悬崖,以灰榆和山杨为优势乔木或无树,乔木矮小稀疏且距离远,接近低矮但密度较大的灌木,食物较多,位于<30°和>35°半阴半阳坡的下坡位,接近水源,人为干扰距离500~1 000 m,距裸岩2~5 m,隐蔽级25%~75%;夏季岩羊偏好的卧息地具有位于海拔高度1 600~2 000 m和>3 000 m的山地疏林草原带及亚高山灌丛和草甸带,地形为明显断裂的坡和悬崖,以灰榆和山杨为优势乔木或无树,乔木和灌木均矮小稀疏且距离较远,食物较少,位于>35°阴坡的上坡位,接近水源,人为干扰距离远,接近裸岩,隐蔽程度低.岩羊的取食和卧息生境在乔木高度和距水源距离上差异不显著(P > 0.05),而其余生态因子均有显著差异(P < 0.05).与取食生境相比,岩羊选择的卧息生境具有乔木稀疏且距离较远、灌木较少、低矮且距离较远、食物丰富度低、坡度大、远离人为干扰、接近裸岩和隐蔽程度低的特征.逐步判别分析表明,食物丰富度、灌木高度、距水源距离、隐蔽级、灌木密度、灌木距离、乔木高度和乔木距离8个生态因子可以区分取食样方与任意样方,正确判别率为85.8%;而区分卧息样方与任意样方时,距水源距离、灌木高度、距裸岩距离、人为干扰距离、食物丰富度、灌木密度和灌木距离共7个生态因子发挥作用,正确判别率为89.1%.  相似文献   

2.
2007年和2008年9—12月,在宁夏贺兰山国家级自然保护区和内蒙古贺兰山国家级自然保护区利用痕迹检验法和直接观察法对同域分布的岩羊和马鹿发情季节生境选择进行研究。通过在选定的15条沟段里进行调查,分别测定了岩羊和马鹿的177个和154个样方的18种生态因子。结果表明,发情季节岩羊和马鹿在植被类型、地形特征、优势乔木、坡向、坡位、灌木密度、灌木高度、植被盖度、坡度、海拔高度、距水源距离、人为干扰距离、距裸岩距离和隐蔽级等生态因子选择上存在极显著差异(P0.01),乔木高度存在显著差异(P0.05),而其余生态因子无显著差异(P0.05),相对于马鹿选择的生境而言,岩羊发情季节更偏爱选择地势陡峭的山地疏林草原带,优势乔木以较高的灰榆为主,灌木密度低但高度较高,植被盖度较低,坡度较大的阳坡中上部,海拔较低,接近水源和裸岩,隐蔽程度低的生境。典则系数显示发情季节岩羊和马鹿的生境选择几乎完全分离,Wilk’sλ值也显示发情季节岩羊和马鹿的生境选择具有很高的差异性(Wilk’sλ=0.123,χ2=679.172,df=10,P0.001)。发情季节岩羊和马鹿的Fisher线性判别函数分别为:F岩羊=3.638×乔木高度+0.242×乔木距离+7.766×灌木高度+0.663×灌木距离+0.232×植被盖度+0.191×坡度+0.001×距水源距离+0.008×距裸岩距离+0.307×隐蔽级-31.078;F马鹿=4.850×乔木高度+0.321×乔木距离+12.024×灌木高度+0.929×灌木距离+0.192×植被盖度+0.482×坡度+0.002×距水源距离-0.001×人为干扰距离-0.003×距裸岩距离+0.511×隐蔽级-50.787。逐步判别分析表明在区分发情季节岩羊和马鹿生境方面有一系列生态因子发挥作用,依照贡献值的大小依次为坡度、人为干扰距离、隐蔽级、距裸岩距离、乔木高度、乔木距离、距水源距离、灌木高度、灌木距离和植被盖度,由这10个变量构成的方程对发情季节岩羊和马鹿生境的正确区分率达到99.7%。  相似文献   

3.
贺兰山区马鹿对冬季生境的选择性   总被引:34,自引:6,他引:28  
2003年11—12月,在贺兰山采用样带法对马鹿阿拉善亚种的生境选择性做了研究。在选定的25条样带上一共测定了87个利用样方以及50个任意样方的14种生态因子(植被类型、优势乔木、坡向、坡位、食物丰富度、乔木密度、灌木密度、坡度、海拔高度、雪深、水源距离、人为干扰距离、裸岩距离和隐蔽级)。结果表明,马鹿对4种生态因子有选择性:①植被类型:偏好利用山地草原带和山地针叶林带,避免选择亚高山灌丛和草甸带;②优势乔木:偏好利用混合型的生境,避免选择杜松、油松和无树的生境;③坡向:偏好位于阳坡的生境,避免利用阴坡;④坡位:偏好位于下坡位的生境,避免选择上坡位和中坡位。对利用样方和任意样方进行比较,发现马鹿的利用样方以灌木密度高、食物丰富、坡度小、接近水源、雪覆盖浅、远离裸岩和人为干扰为主要特征。对各种生态因子的主成分分析表明前6个主成分的累积贡献率已经达到了84.89%,可以较好地反映马鹿的生境特征。第1主成分反映出马鹿在选择生态因子方面与植被类型、乔木密度、灌木密度、坡向、坡度、距水源距离、雪深、海拔高度正相关。  相似文献   

4.
贺兰山马鹿冬季取食和卧息生境选择   总被引:4,自引:1,他引:3  
2007 年12 月至2008 年1 月,在贺兰山地区,利用痕迹检验法和直接观察法对马鹿阿拉善亚种的冬季取食和卧息生境选择进行研究。通过在选定的15 条沟段里进行调查,共测定了72 个取食利用样方,59 个卧息利用样方和131 个对照样方的18 种生态因子。结果表明,马鹿在冬季偏好的取食地为平滑起伏坡,以酸枣、柳为优势乔木、混合型树林或空地,乔木高大稀疏、间距较远,灌木密度大,草本盖度较高,位于< 15°的半阴半阳坡的下坡位,距裸岩远,隐蔽度高;偏好的卧息地在山地疏林草原带的平滑起伏坡上,以酸枣、柳为优势乔木、混合型树林或空地,乔木高大稀疏,灌木矮小、稀疏且距离较远,草本盖度较高,位于< 15°阳坡的下坡位,远离裸岩,隐蔽程度高。马鹿冬季的取食和卧息生境在草本盖度和隐蔽度上差异极显著。相对于卧息生境,马鹿冬季的取食生境对草本盖度和隐蔽度要求更低一些。马鹿冬季取食地的资源选择函数为1.155 - 0.149 × 乔木高度- 0.066 × 草本盖度+ 0.190 × 坡度,模型的正确判别率为86.8% ;马鹿冬季卧息地的资源选择函数为- 30.936
+ 0.494 × 乔木高度+ 0.257 × 坡度-0.002 × 海拔高度+ 0.387 × 隐蔽度,模型的正确判别率为95.8% 。食物、隐蔽条件以及贺兰山的独特地形特征是影响马鹿冬季取食和卧息生境选择的主要因素。  相似文献   

5.
小兴安岭南部低山丘陵地区狍冬季卧息地选择   总被引:8,自引:0,他引:8  
对小兴安岭南部低山丘陵地区狍冬季卧息地的选择性进行了研究。Jacobs法和资源选择函数均表明昼间狍偏好位于阳坡的针阔混交林,对灌木、下层植被覆盖度及雪深具有选择性;夜间狍的卧息地多位于阴坡的针阔混交林和阔叶混交林,对乔木和下层植被覆盖度具有选择性。狍的昼间和夜间卧息地在植被类型、坡向、乔木冠幅、灌木高度、1m以下植被覆盖度、1~2.5m植被覆盖度、隐蔽级、卧息地长和卧息地宽上差异显著(P<0.05)。与夜间卧息地相比,狍昼间偏爱的卧息地具有乔木冠幅较大、灌木较矮、林下植被覆盖度较高、隐蔽程度较好、卧息地长度和宽度较小的特征。  相似文献   

6.
贺兰山岩羊冬春季取食生境的比较   总被引:10,自引:2,他引:8  
2003年11~12月和2004年4~6月,在贺兰山设定了25条固定样线,采用直接观察法对岩羊冬春季的取食生境选择进行了研究。结果表明,岩羊冬季对12种取食生境生态因子有选择性,偏爱选择位于山地疏林草原带,优势乔木为灰榆,乔木密度〈4株、高度4~6m,灌木密度〉5株、高度〉1.3m,食物质量〉50g,人为干扰距离〈500m,距裸岩距离〈2m的地方取食。而春季对11种取食生境生态因子有选择性,偏爱选择山地疏林草原带,优势乔木为灰榆,乔木密度〈4株、高度〈6m,灌木密度5~10株、高度1.3~1.7m,食物质量〉100g,海拔高度〈2000m,距水源距离〈500m,隐蔽级50%~75%的地点。冬春季岩羊对植被类型、地形特征、优势乔木、乔木密度、乔木高度、灌木密度、灌木距离、食物丰富度、坡向、坡度、距水源距离、人为干扰距离和隐蔽级的选择存在显著差异。主成分分析表明,冬季第1主成分的贡献率达24.493%,其中绝对值较大的权系数出现在植被类型、优势乔木、乔木高度、乔木距离、灌木密度、灌木高度、海拔高度、距水源距离和人为干扰距离等生态因子:春季第1主成分的贡献率达28.777%,其中绝对值较大的权系数出现在植被类型、乔木距离、灌木高度、灌木距离、食物丰富度、海拔高度和人为干扰距离等生态因子。随着北方地区冬春季食物数量和质量的剧烈变化,贺兰山岩羊对取食生境的利用对策也将发生一定程度的改变,与其他分布区的岩羊相比,贺兰山独特的地理位置和特殊生境使其在取食生境选择上存在很大差异。  相似文献   

7.
2009年12月到2010年1月,在黄泥河自然保护区采用样线法对狍冬季卧息地选择进行研究.在研究中共设置了47条样线,调查了72个狍利用样方和109个对照样方,评价了15类生态因子对狍冬季卧息地选择的影响.研究结果表明:在黄泥河自然保护区冬季,狍在卧息时喜欢选择平均海拔在591 m,位于阳坡中坡位上雪被较浅、食物丰富度、灌丛盖度、郁闭度和隐蔽水平都较高的针阔混交林生境,尤其喜欢在针阔混交林中的针叶树下卧息,避开选择阴坡、针叶林和裸岩.逻辑斯蒂回归分析结果表明:食物丰富度、针叶树、雪深、裸岩和海拔是影响黄泥河自然保护区冬季狍卧息地选择的主导因子,林型、坡向和隐蔽水平是次要因子.由这7个变量组成的回归模型为:Z=32.628+11.675×坡向(1) +9.741×坡向(2)-5.486×林型(1)-7.933×林型(2)-7.496×裸岩(1)-9.906×针叶树(1)-0.043×海拔+0.170×隐蔽水平+0.220×食物丰富度-0.429×雪深.模型选择利用概率为P(z)=ez/1+ez,整体正确预测率为96.1%.  相似文献   

8.
2010年4~5月,在甘肃马鬃山采用样线法对北山羊Capra ibex春季卧息地的选择性进行了研究,共测定了63个卧息地样方,63个对照样方.经过分析表明,北山羊卧息地选择偏好利用阳坡、上坡位、膜果麻黄与裸岩(P<0.05),同时具有海拔高、坡度大、远离道路、远离居民点、距水源较近、接近隐蔽物、隐蔽级高等特征(P<0....  相似文献   

9.
生境是野生动物的栖息基底,卧息地是野生动物重要的功能性生境。为深入了解野生马麝(Moschus chrysogaster)冬季卧息地生境的特征及选择利用,于2021年12月至2022年1月对甘肃兴隆山国家级自然保护区的野生马麝的功能性生境开展了基于生境取样的研究。通过样线调查法获取马麝卧息痕迹位点,采用主成分分析和资源选择函数法进行其卧息生境选择的研究。结果表明,野生马麝冬季卧息地生境的海拔较低[(2 488.5±26.6)m]、灌木较高[(1.3±0.3)m]、灌木盖度(31.08%±3.14%)和地表植被盖度(38.36%±3.27%)较大、倒木较多[(0.5±0.1)个]且积雪较浅[(1.0±0.3)cm];马麝冬季卧息地多选择位于南坡的下坡位灌丛生境,而且距水源较近、隐蔽度较好。主成分分析表明,乔木因子、食物因子、安全因子和地形因子的累计贡献率达67%;马麝的卧息生境资源选择函数为:Logit(x)=﹣4.967+0.001×海拔﹣0.02×坡度+0.03×乔木郁闭度+0.104×乔木高度+0.17×灌木盖度﹣0.466×雪被深度﹣1.015×坡向,模型预测正确率为91.1%。...  相似文献   

10.
贺兰山牦牛冬春季的生境选择   总被引:1,自引:0,他引:1  
在2009年12月-2010年1月和2010年4-5月,采用样线法结合直接观察法对贺兰山牦牛的冬春季生境选择进行了研究。结果表明,牦牛冬季对11种生境因子有选择性,偏爱山地针叶林带,海拔小于2 000 m,优势乔木为灰榆,坡度小于10,下坡位,距水源距离大于1 200 m,人为干扰距离2 000-4 000 m,隐蔽级大于70 %;春季牦牛对13种利用生境生态因子有选择性,偏爱于亚高山灌丛和草甸带,海拔大于3 000 m,乔木密度小于1株,乔木高度小于3 m,乔木距离大于3 m,灌木密度大于4 0株,灌木距离小于1 m,植被盖度大于7 0 %,上坡位,距水源的距离小于8 00 m,人为干扰距离大于4 000 m,隐蔽级大于7 0 %。冬春季牦牛在海拔、植被类型、地形特征、优势乔木、灌木种类、坡位、坡向、人为干扰距离、距水源距离上存在显著差异。主成分分析表明冬季第一主成分的贡献率21.100 %,其中绝对值较大的相关系数是乔木距离、优势乔木、乔木高度和乔木密度;春季第一主成分的贡献率是31.247 %,其中绝对值较大的相关系数是植被类型、海拔高度、地形特征和灌木密度。与其他分布地区的牦牛相比,贺兰山地区的牦牛能适应当地的地理特征和气候环境。  相似文献   

11.
2007 年11 月至2008 年1 月,在阿尔泰山南部科克森山和卡拉麦里山采用样线法研究了盘羊冬季卧息地
的选择性。结果表明,两地区的盘羊对冬季卧息地的利用均有选择性,两地区盘羊偏好利用山坡做卧息地,避
免选择山沟和平滩卧息;偏好位于半阴和半阳坡的卧息地,避免利用阴坡,对阳坡随机利用;偏好位于上坡位
和中坡位的卧息地,对下坡位则为随机利用。通过与对照样方比较,科克森山和卡拉麦里山盘羊冬季卧息地均
以植物科数多、植物种数多、植物密度高、灌木株数小、驼绒藜株数少、接近隐蔽物、隐蔽级高和雪覆盖浅为
主要特征。在科克森山,盘羊通常选择坡度大、雪覆盖浅的位置作为其卧息地。在卡拉麦里山盘羊通常选择坡
度大的地方作为其卧息地。科克森山和卡拉麦里山盘羊卧息地变量前6 个特征值的累积贡献率分别达到了
80.75%和82. 58% ,较好地反映了盘羊卧息地的生境特征。科克森山和卡拉麦里山盘羊卧息地第1 主成分贡献
率分别达到了23.04% 和24. 33%。在两地区,植物科数、植物种数、灌木种数、雪深和坡度5 个因子的载荷系
数均为正值,具有较大的作用。其余5 个主成分中隐蔽级、海拔、距水源距离和距居民点距离也很重要。  相似文献   

12.
小兴安岭通河林区原麝夏季对生境的选择   总被引:16,自引:1,他引:15  
2004年8~9月,在通河县龙口林场采用样线样方法对原麝夏季生境的选择进行了研究。共设235个样方,其中原麝利用样方55个,采用卡方(Chi-square)统计进行显著性检验,结果表明原麝偏好利用针阔混交林,避免杂木林;倾向于选择离水源近、远离人为干扰的上坡位;一般喜欢有石砬子的山坡;对坡向的利用无选择性。对原麝利用样方和非利用样方进行比较,发现原麝生境具有海拔高、郁闭度小、食物丰富和坡度陡等特征。对各种生境因子的主成分分析表明,前6个特征值的累积贡献率达到73·30%,可以较好地反映原麝生境特征,根据载荷系数绝对值大小将原麝夏季生境选择影响因子分别命名为食物丰富度因子、植被因子、干扰因子、隐蔽度因子、地理因子和倒木因子。  相似文献   

13.
The feeding habitat selection of blue sheep (Pseudois nayaur)was studied by direct observation method in the Helan Mountains,China during winter (from November to December)and spring (from April to June)from 2003 to 2004.We established 25 line transects to collect information on feeding habitats used by blue sheep.Blue sheep in the study area preferred mountain savanna forests,a habitat dominated by Ulmus glaucescens,with medium tree density (<4 individuals/400 m2),moderate tree height (4-6 m),higher shrub density (>5 individuals/100 m2),higher shrub (>1.3 m),higher food abundance (>50 g),moderate distance to human disturbance (<500 m),and mild distance to bare rock (<2 m).Such habitats characterized by 12 ecological factors were preferred as feeding areas by blue sheep during winter.Similar to habitat selection by the species during winter,blue sheep also showed a preference for mountain savanna with tree dominated by Ulmus glaucescens and medium tree density (<4 individuals/400 m2)during spring.Nevertheless,blue sheep preferred medium tree height (<6 m),moderate tree density (5-10 individuals/100 m2),medium shrub height (1.3-1.7 m),higher food abundance (>100 g),moderate altitude (<2 000 m),moderate distance to water resource (<500 m),and medium hiding cover (50%-75%)during spring.Selection of the feeding habitats by sheep showed a significant difference in vegetation type,landform feature,dominant tree,tree height,shrub density,distance to the nearest shrub,food abundance,slope direction,slope degree,distance to water resource,and hiding cover between winter and spring.Results of principal components analysis indicated that the first principal component accounted for 24.493%of the total variance among feeding habitat variance during winter,with higher loadings for vegetation type,dominant tree,tree height,distance to the nearest tree,shrub density,shrub height,altitude,distance to water resource,and distance to human disturbance.In spring,the first principal components explained 28.777%of the variance,with higher loadings for vegetation type,distance to the nearest tree,shrub height,distance to the nearest shrub,food abundance,altitude,and distance to human disturbance.  相似文献   

14.
Abstract. Snow patch vegetation in Australia is rare, being restricted to the relatively small area of alpine and subalpine country in the highlands of southeastern Australia. Snow patch vegetation occurs on steeper, sheltered southeastern slopes, where snow persists until well into the growing season (December/January). We surveyed the vegetation of 33 snow patch sites in the alpine and subalpine tracts of the Bogong High Plains, within the Alpine National Park, in Victoria. The vegetation was dominated by herbs and graminoids, with few shrubs and mosses. Major structural assemblages identified included closed herb‐fields dominated by Celmisia spp, and grasslands dominated by Poa fawcettiae or Poa costiniana. These assemblages occurred on mineral soils. Open herb‐fields dominated by Caltha introloba and several sedge species occurred on rocky and stony substrata. Vegetation‐environment relationships were explored by ordination and vector fitting. There was significant variation in the floristic composition of snow patch vegetation as a function of duration of snow cover, altitude, slope and site rockiness. Alpine sites were floristically distinct from subalpine sites, with a greater cover of Celmisia spp. and a lesser cover of low shrubs in the former. There was floristic variation within some snow patches as a function of slope position (upper, middle or lower slope) but this was not consistent across sites. The current condition of snow patch vegetation on the Bogong High Plains is degraded, with bare ground exceeding 20% cover at most sites. Snow patch vegetation is utilized preferentially by domestic cattle, which graze parts of the Bogong High Plains in summer. Such grazing is a potential threat to this rare vegetation type.  相似文献   

15.
大兴安岭原麝冬季的生境选择   总被引:1,自引:0,他引:1  
2005年3~4月和2006年3月,在黑龙江省大兴安岭呼中自然保护区,采用机械布点法随机设置样线,对原麝(Moschus moschiferus)冬季生境选择进行了研究。对海拔、乔木密度、雪深、隐蔽度、食物丰富度、坡度和倒木数量进行2个独立样本的Mann-Whitey U检验,找出生境利用样方与任意样方的生态因子的差异。U检验的结果表明,原麝冬季喜欢活动在相对海拔高、乔木密度小、雪层浅、隐蔽度高、坡度陡且喜食食物丰富的区域;对植被类型、坡位、坡向、距水源距离、距人为干扰距离、动物干扰和碎石坡7个名词性变量采用卡方(Chi-square)统计进行显著性检验,卡方检验的结果表明:原麝冬季偏好远离人为干扰、接近碎石坡、阳坡和其他动物干扰较少的针阔混交林中;对以上14个生态因子进行主成分分析,结果表明,前6个特征值的累计贡献率达到72·318%,可以较好地反映原麝生境特征,根据主成分分析结果,将原麝冬季生境选择影响因子分别命名为空间因子(海拔、坡度、距碎石坡距离)、干扰因子(距人为干扰距离、距水源距离)、坡向因子(坡向、乔木密度)、坡位因子(坡位、动物干扰)、食物因子(食物丰富度、隐蔽度)和倒木因子(倒木数量)。  相似文献   

16.
The feeding habitat selection of blue sheep (Pseudois nayaur) was studied by direct observation method in the Helan Mountains, China during winter (from November to December) and spring (from April to June) from 2003 to 2004. We established 25 line transects to collect information on feeding habitats used by blue sheep. Blue sheep in the study area preferred mountain savanna forests, a habitat dominated by Ulmus glaucescens, with medium tree density (<4 individuals / 400 m2), moderate tree height (4–6 m), higher shrub density (> 5 individuals / 100 m2), higher shrub (> 1.3 m), higher food abundance (> 50 g), moderate distance to human disturbance (< 500 m), and mild distance to bare rock (< 2 m). Such habitats characterized by 12 ecological factors were preferred as feeding areas by blue sheep during winter. Similar to habitat selection by the species during winter, blue sheep also showed a preference for mountain savanna with tree dominated by Ulmus glaucescens and medium tree density (< 4 individuals / 400 m2) during spring. Nevertheless, blue sheep preferred medium tree height (< 6 m), moderate tree density (5–10 individuals / 100 m2), medium shrub height (1.3–1.7 m), higher food abundance (> 100 g), moderate altitude (< 2 000 m), moderate distance to water resource (< 500 m), and medium hiding cover (50%–75%) during spring. Selection of the feeding habitats by sheep showed a significant difference in vegetation type, landform feature, dominant tree, tree height, shrub density, distance to the nearest shrub, food abundance, slope direction, slope degree, distance to water resource, and hiding cover between winter and spring. Results of principal components analysis indicated that the first principal component accounted for 24.493% of the total variance among feeding habitat variance during winter, with higher loadings for vegetation type, dominant tree, tree height, distance to the nearest tree, shrub density, shrub height, altitude, distance to water resource, and distance to human disturbance. In spring, the first principal components explained 28.777% of the variance, with higher loadings for vegetation type, distance to the nearest tree, shrub height, distance to the nearest shrub, food abundance, altitude, and distance to human disturbance. Translated from Zoological Research, 2005, 26(6): 580–589 [译自: 动物学研究]  相似文献   

17.
On well drained sites in the subalpine tract of the Bogong High Plains, Victoria, the distribution of grassland, dominated by Poa spp., and closed heathland, dominated by Prostanthera cuneata, can be correlated with patterns of maximum and minimum air temperature, and the accumulation and persistence of snow. Both maximum and minimum temperatures are lower, and the accumulation and persistence of snow is less in grassland, the dominant community of gentle slopes and hollows, than in closed heathland, the dominant community on steeper, leeward slopes. On gentle slopes and in hollows, the development of closed heath may be limited by the accumulation of cold air, relatively low temperatures and exposure to strong winds. However, on leeward slopes where snow persists the longest (until mid-late December), the development of heath may be limited by a shortening of the growing season. The distribution of grassland and heathland, especially the limits to the distribution of the heath, may also be affected by infrequent climatic events, such as the co-incidence of unusually low temperatures during winters when snow cover is meagre.  相似文献   

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