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摘要:
Vegetation mapping using field surveys is expensive. Distribution modelling, based on sample surveys, might overcome this challenge. We tested if models trained from sample surveys could be used to predict the distribution of vegetation types in neighbourhood areas, and how reliable the spatial transferability was. We also tested whether we should use ecological dissimilarity or spatial distance to foresee modelling performance. Maximum entropy models were run for three vegetation types based on a vegetation map within a mountain range. Environmental variables were selected backwards, model complexity was kept low. The models are based on points from a small part of each study site, transferred into the entire sites, and then tested for performance. Environmental distance was tested using principle component analysis. All models had high uncorrected AUC values. The ability to predict presences correctly was low. The ability to predict absences correctly was high. The ability to transfer the distribution model depended on environmental distance, not spatial distance.
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篇名 Spatial Transferability of Vegetation Types in Distribution Models Based on Sample Surveys from an Alpine Region
来源期刊 地理信息系统(英文) 学科 医学
关键词 Area FRAME Survey ECOLOGICAL DISTANCE GIS INDEPENDENT Evaluation Data Maximum ENTROPY Modelling VEGETATION Mapping
年,卷(期) 2018,(1) 所属期刊栏目
研究方向 页码范围 111-141
页数 31页 分类号 R73
字数 语种
DOI
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研究主题发展历程
节点文献
Area
FRAME
Survey
ECOLOGICAL
DISTANCE
GIS
INDEPENDENT
Evaluation
Data
Maximum
ENTROPY
Modelling
VEGETATION
Mapping
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
地理信息系统(英文)
半月刊
2151-1950
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
143
总下载数(次)
0
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