详细信息
基于3S技术的扎龙湿地丹顶鹤巢址选择模型 被引量:16
A Model of Nest-Site Selection of Red-Crowned Crane Based on RS,GIS and GPS Techniques at Zhalong Wetland,China
文献类型:期刊文献
中文题名:基于3S技术的扎龙湿地丹顶鹤巢址选择模型
英文题名:A Model of Nest-Site Selection of Red-Crowned Crane Based on RS,GIS and GPS Techniques at Zhalong Wetland,China
作者:江红星[1] 刘春悦[2,3] 钱法文[1] 李长友[4] 仇福臣[4]
第一作者:江红星
机构:[1]中国林业科学研究院森林生态环境与保护研究所国家林业局森林保护学重点实验室;[2]中国科学院东北地理与农业生态研究所;[3]中国科学院研究生院;[4]黑龙江省齐齐哈尔市扎龙国家级自然保护区
年份:2009
卷号:45
期号:7
起止页码:76-83
中文期刊名:林业科学
外文期刊名:Scientia Silvae Sinicae
收录:CSTPCD;;Scopus;北大核心:【北大核心2008】;CSCD:【CSCD2011_2012】;
基金:中国林业科学研究院森林生态环境与保护研究所所基金项目(CAFRIF200715)
语种:中文
中文关键词:丹顶鹤;巢址选择;3S技术;模型;扎龙湿地
外文关键词:Red-crowned Crane; nest-site selection; 3S techniques; model; Zhalong wetland
分类号:Q143
摘要:利用遥感、地理信息系统和全球定位系统技术,对黑龙江扎龙国家级自然保护区丹顶鹤巢址选择的"出现点"和"非出现点"初选变量进行空间自相关性检验,采用二项逻辑斯蒂克模型进行回归建模。结果表明:影响丹顶鹤巢址选择的自然环境因子包括芦苇高度、盖度和高程,干扰因子包括巢址距居民点距离、巢址周边堤坝和道路密度网。经计算预测值与观测值之间的匹配系数来验证模型准确性,总正确预测率为80.4%。将土地利用图与模型预测概率图进行叠加分析,得出扎龙湿地丹顶鹤适宜营巢栖息地的面积为223.46km2,主要分布在保护区的中部和北部。模型的预测结果基本反映扎龙湿地丹顶鹤适宜营巢栖息地的分布情况,为开展营巢地的有效保护与管理,并针对性地恢复重要营巢地提供科学依据。
A binomial logistic model was established based on RS, GIS and GPS techniques to simulate and predict the distribution of nest-site of Red-crowned Crane ( Grus japonensis ) in Zhalong National Nature Reserve ( ZLNNR), Hei!ongjiang Province, China. By using the data of present and absent points, a spatial auto-correlation test was conducted ~o screen the variables for the model. The result showed the factors affected the nest-site selection by Red-crowned Cranes included natural environment factors such as reed height and coverage, and elevation, and disturbance factors such as distance to residential area, density of dykes and roads around the nest. The model was tested through calculating the match coefficients of observed and predicted present/absent data. The correctly classified rate reached to 80.4%. Meanwhile, the model predicted that the suitable habitat for nesting by Red-crowned Crane reached to 223.46 km2 , which mainly distributed in the middle and north of ZLNNR. The model prediction basically reflected the suitable nesting habitat distribution, and might provide scientific basis for efficient conservation and management of the nesting habitats, and restoration of key nesting habitats for Red-crowned Crane in ZLNNR.
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