A novel thermal index improves prediction of vegetation zones:   Associating temperature sum with thermal seasonality

doi:10.1016/j.ecolind.2012.05.017

CORC > 北京大学 > 城市与环境学院

	A novel thermal index improves prediction of vegetation zones: Associating temperature sum with thermal seasonality
	Chiu, Ching-An ; Lin, Po-Hsiung ; Hsu, Chun-Kai ; Shen, Ze-Hao
刊名	ecological indicators
	2012
关键词	Thermal seasonality Effective warmth index (EWI) Climatic-vegetation classification Taiwan RECENT CLIMATE-CHANGE GLOBAL PERSPECTIVE EASTERN CHINA MODEL ECOSYSTEMS RESPONSES ZONATION ASIA GIS
DOI	10.1016/j.ecolind.2012.05.017
英文摘要	Thermal variation plays a crucial role for governing the type and distribution of vegetation, especially in the humid region. This paper aims to provide a modified thermal index, effective warmth index (EWI) which associate temperature sum with thermal seasonality, compared with commonly used other indices for classifying and predicting of vegetation zones through a case study of Taiwan. With these different thermal indices calculated and mapped at a 100-m spatial resolution, the corresponding climate-vegetation classification schemes are applied to predict the vegetation zones. The accuracy of spatial prediction is evaluated with Kappa coefficient, referring to 651 sampling plots of vegetation. The prediction of potential natural vegetation zones using EWI is the best one (Kappa = 0.759), compared with other indices. This result suggests that thermal seasonality is effective for improving the prediction of warmth index in explaining the altitudinal zonation and distribution of vegetation in Taiwan, and potentially in humid East Asia. (C) 2012 Elsevier Ltd. All rights reserved.; Biodiversity Conservation; Environmental Sciences; SCI(E); EI; 2; ARTICLE; 668-674; 23
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/229065]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Chiu, Ching-An,Lin, Po-Hsiung,Hsu, Chun-Kai,et al. A novel thermal index improves prediction of vegetation zones: Associating temperature sum with thermal seasonality[J]. ecological indicators,2012.
APA	Chiu, Ching-An,Lin, Po-Hsiung,Hsu, Chun-Kai,&Shen, Ze-Hao.(2012).A novel thermal index improves prediction of vegetation zones: Associating temperature sum with thermal seasonality.ecological indicators.
MLA	Chiu, Ching-An,et al."A novel thermal index improves prediction of vegetation zones: Associating temperature sum with thermal seasonality".ecological indicators (2012).