干旱区生态环境知识资源中心(Arid): Assessment of plant species distribution and diversity along a climatic gradient from Mediterranean woodlands to semi-arid shrublands

Arid

DOI	10.1080/15481603.2021.1953770
	Assessment of plant species distribution and diversity along a climatic gradient from Mediterranean woodlands to semi-arid shrublands
	Paz-Kagan, Tarin; Chang, Jisung Geba; Shoshany, Maxim; Sternberg, Marcelo; Karnieli, Arnon
通讯作者	Paz-Kagan, T (corresponding author)，Agr Res Org, Volcani Ctr, Dept Sensing Informat & Mechanizat Syst, Inst Agr Engn, Rishon Leziyyon, Israel.
来源期刊	GISCIENCE & REMOTE SENSING
ISSN	1548-1603
EISSN	1943-7226
出版年	2021
卷号	58 期号:6
英文摘要	Climate and land-use change profoundly affect plant species distribution (SD) and composition, and the impact of these processes is expected to increase in the coming years. As a proxy of global changes, knowledge of SD and diversity along climatic gradients is essential to determine the efforts needed for species conservation. Plant spectral diversity is an emerging approach used as a proxy for species diversity based on remote sensing. Thus, the research aim was to develop a comprehensive methodology based on spectral diversity for SD and richness mapping and to study their relations with environmental and human-derived factors, demonstrated along Mediterranean to semi-arid climatic gradient. The study addresses two main knowledge gaps regarding spectral diversity: (1) improving the accuracy of woody species classification by features extraction and selection, and by using texture analysis in an ecosystem characterized by high spatial variability and relatively small-sized and sparse woody vegetation; and (2) developing a better estimate of the local species left-to-right markrichness and their response to environmental and human-derived factors (i.e. climate, topography, substrate, and land cover factors) across a transition zone between Mediterranean woodlands and semi-arid dwarf shrublands. A hyperspectral image was acquired for a 43-km strip along the study area using an airborne flight of AISA-FENIX (380-2500 nm, 420 bands) at the end of the 2017 rainy season. The dominant species were surveyed, with a total number of 247 trees and shrubs, to train a machine learning support vector machine (SVM) classification for species distribution mapping, which yielded an overall accuracy of 86.1%. A feature extraction and selection methodology was developed, combining principal component analysis and neighborhood component analysis techniques, facilitating the identification of 33 spectral diagnostic bands out of 330 spectral bands. The classification accuracy was decreased by about 2% to 84.2% using only 33 spectral bands. The classification accuracy improved by about 7.1% for the seven large crown species (93.3%) by adding texture information. Later, the local species richness was calculated by utilizing the alpha diversity index (i.e. the Shannon Index) for 30-m grid cells and was tested in response to environmental (i.e. climate, substrate, and topography) and human-derived factors (i.e. land cover). The highest sensitivity to alpha diversity factors was mean annual precipitation, slope, and land surface temperature. The alpha diversity showed higher richness in the natural Mediterranean shrubland and the guarrigue located in the northern part of the climate gradient. We suggest that the approach presented here significantly improves the estimation of woody species distribution and diversity in areas characterized by high spatial heterogeneity along steep climatic gradients.
英文关键词	AISA-FENIX climatic gradient texture analysis species distribution spectral feature selection support vector machines alpha diversity
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000685744200001
WOS关键词	SARCOPOTERIUM-SPINOSUM ; IMAGING SPECTROSCOPY ; SPECTRAL DIVERSITY ; LAND-USE ; FOREST ; VEGETATION ; CLASSIFICATION ; RICHNESS ; TREE ; BIODIVERSITY
WOS类目	Geography, Physical ; Remote Sensing
WOS研究方向	Physical Geography ; Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/375945
作者单位	[Paz-Kagan, Tarin] Agr Res Org, Volcani Ctr, Dept Sensing Informat & Mechanizat Syst, Inst Agr Engn, Rishon Leziyyon, Israel; [Chang, Jisung Geba; Karnieli, Arnon] Ben Gurion Univ Negev, French Associates Inst Agr & Biotechnol Drylands, Remote Sensing Lab, Jacob Blaustein Inst Desert Res, Beer Sheva, Israel; [Shoshany, Maxim] Technion Israel Inst Technol, Fac Civil & Environm Engn, Haifa, Israel; [Sternberg, Marcelo] Tel Aviv Univ, Fac Life Sci, Sch Plant Sci & Food Secur, Tel Aviv, Israel
推荐引用方式 GB/T 7714	Paz-Kagan, Tarin,Chang, Jisung Geba,Shoshany, Maxim,et al. Assessment of plant species distribution and diversity along a climatic gradient from Mediterranean woodlands to semi-arid shrublands[J],2021,58(6).
APA	Paz-Kagan, Tarin,Chang, Jisung Geba,Shoshany, Maxim,Sternberg, Marcelo,&Karnieli, Arnon.(2021).Assessment of plant species distribution and diversity along a climatic gradient from Mediterranean woodlands to semi-arid shrublands.GISCIENCE & REMOTE SENSING,58(6).
MLA	Paz-Kagan, Tarin,et al."Assessment of plant species distribution and diversity along a climatic gradient from Mediterranean woodlands to semi-arid shrublands".GISCIENCE & REMOTE SENSING 58.6(2021).