Habitat Suitability Evaluation for Waterfowls Used-land Based on RS and GIS
- Issue 6, Pages: 1001-1009(2008)
Published: 2008
DOI: 10.11834/jrs.200806134
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Published: 2008 ,
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[1]孔博,张树清,张柏,李晓峰,于欢.遥感和GIS技术的水禽栖息地适宜性评价中的应用[J].遥感学报,2008(06):1001-1009.
KONG Bo1, ZHANG Shu-qing1, ZHANG Bai1, et al. Habitat Suitability Evaluation for Waterfowls Used-land Based on RS and GIS. [J]. Journal of Remote Sensing (6):1001-1009(2008)
由于适宜水禽栖息的生境面积不断缩小
致使湿地生态系统受到严重破坏
生物种群数量急剧下降。通过野外采点调查建立可靠的栖息地适宜点群。基于遥感和GIS空间技术获取20个评价因子
并结合二项Logistic回归模型
构造出基于像元水平的栖息地适宜性模型
经过筛选后保留对适宜性影响力较大、拟合优度高的10个评价因子
分别从社会人文、植被长势和地形地貌三大方面分析。再应用K-means聚类分析法将适宜性点群分级
得到建三江区栖息地适宜性评价分级图
有效分析适宜性5个等级的空间尺度
其中最适宜栖息
中适宜栖息
基本适宜栖息
不适宜栖息和不可用地分别占总用地的24.73%
17.69%
29.8%
17.62%和10.16%
前三类占总的72.22%。说明建三江区的适宜水禽栖息的用地较多
主要分布在流域、低河漫滩等人为干扰少的湿地沼泽平原
此研究对水禽生境的保护和可持续发展都具有指导意义。
waterfowls habitat and population quantity has been seriously damaged due to continuously deteriorating of Wetland ecosystem.There are satisfactory variety of ecosystems
and there are resources and abundant plants or animals species in the Jiansanjiang area.Although the biodiversity of the region is rich and important
it is suffering from man-made destroy and disturbance.Analysis of high strength wetland reclamation process and environment changes was conducted to study the direct and indirect effects on wetland waterfowls habitat.People were raised to pay attention to the protection of Wetland and Biodiversity extensively.Habitat suitability method is widely applied in natural land resource management
especially it is very meaningful research for biodiversity protection and useful spaces question of animals.It has also very important significance to quickly realize and determine the best habitat position in spatial scale domain.Jiansanjiang area lies in the northwest of Heilongjiang Province in China
as for most of the year
where the climate is characterized as temperate semiarid continental monsoon.There are three large rivers in the region
including Heilongjiang River
Songhua River and Wusuli River
which are important national wetland in Sanjiang Plain.The maps of topographic and vegetation distribution in Jiansanjiang area following as reference materials
it is an application of GPS on field control point position established habitat suitability point cluster.The acquisition of 21 single evaluation factors is based on information extraction by remote sensing and Geography Information System spatial analysis method
and analysis of Binary Logistic regression model
which was integrated into habitat suitability module on pixel levels.Along with other factors
these was a great influence
high goodness-of-fit and big standardized residuals on 10 single suitability evaluation factors finally
synthetically evaluated by settlement density
population density
road Euclid Distance
settlement Euclid Distance
NDVI
vegetation types
wetness
texture
relief and DEM etc.These factors emphasize three aspects: humanity society
vegetation growth topography and geomorphology respectively.There is integrated classification criterion of Jiansanjiang habitat with K-means cluster analysis
effectively analyzed five levels of suitability on spatial scale.As a result
the percentage of the highly suitable habitat
suitable habitat
moderately suitable habitat
not suitable habitat and permanently not suitable habitat respectively are 24.73%
17.69%
29.8%
17.62% and 10.16%
that of the former three types was about 72.22% of the total
those who will use evidence to support their view that the abundant land of waterfowls suitable habitat in Jiansanjiang.The effective strategies based on the evaluation results can be put forward as the reference for protection of habitat suitability land and sustainable reproduction of population.The experimental results show that our method achieves high fusion accuracy(general classification accuracy: 87.3%
kappa’s coefficient: 0.852)
it gives a proof of grade separation image and actual ecological environment is very similar.The paper offered an innovation thought: application of statistical Binary-Logistic module based on pixel level in RS image.This method can be helpful for the large-scale natural ecological landscape planning
determination of human disturbance and animal protection scale domain
biodiversity sustainable development for future geographic spatial analysis.
水禽栖息地适宜性二项Logistic回归模型K-means聚类分析法遥感和GIS技术
waterfowls habitat suitabilitybinary logistic regression modelK-Means cluster analysistechnology of RS and GIS
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