干旱区生态环境知识资源中心(Arid): Assessment of the Capability of Landsat and BiodivMapR to Track the Change of Alpha Diversity in Dryland Disturbed by Mining

Arid

DOI	10.3390/rs15061554
	Assessment of the Capability of Landsat and BiodivMapR to Track the Change of Alpha Diversity in Dryland Disturbed by Mining
	Zhang, Yan; Tang, Jiajia; Wu, Qinyu; Huang, Shuai; Yao, Xijun; Dong, Jing
通讯作者	Wu, QY
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:6
英文摘要	Remotely sensed spectral diversity is a promising method for investigating biodiversity. However, studies designed to assess the effectiveness of tracking changes in diversity using historical satellite imagery are lacking. This study employs open-access multispectral Landsat imagery and the BiodivMapR package to estimate the multi-temporal alpha diversity in drylands affected by mining. Multi-temporal parameters of alpha diversity were identified, such as vegetation indices, buffer zone size, and the number of clusters. Variations in alpha diversity were compared for various plant communities over time. The results showed that this method could effectively assess the alpha diversity of vegetation (R-2, 0.68). The optimal parameters used to maximize the accuracy of alpha diversity were NDVI threshold, 0.01; size of buffer zones, 120 m x 120 m; number of clusters, 100. The root mean square error of the alpha diversity of herbs was lowest (0.26), while those of shrub and tree communities were higher (0.34-0.41). During the period 1990-2020, the study area showed an overall trend of increasing diversity, with surface mining causing a significant decrease in diversity when compared with underground mining. This illustrates that the quick development of remote sensing and image processing techniques offers new opportunities for monitoring diversity in both single and multiple time phases. Researchers should consider the plant community types involved and select locally suitable parameters. In the future, the generation of long-time series and finer resolution maps of diversity should be studied further in the aspects of spatial, functional, taxonomic, and phylogenetic diversity.
英文关键词	environmental assessment alpha diversity remote sensing mining vegetation biodivMapR
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000958728900001
WOS关键词	PLANT-SPECIES RICHNESS ; VARIABILITY ; VEGETATION ; NDVI ; DESERTIFICATION ; HETEROGENEITY ; BIODIVERSITY ; TOOLS
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398250
推荐引用方式 GB/T 7714	Zhang, Yan,Tang, Jiajia,Wu, Qinyu,et al. Assessment of the Capability of Landsat and BiodivMapR to Track the Change of Alpha Diversity in Dryland Disturbed by Mining[J],2023,15(6).
APA	Zhang, Yan,Tang, Jiajia,Wu, Qinyu,Huang, Shuai,Yao, Xijun,&Dong, Jing.(2023).Assessment of the Capability of Landsat and BiodivMapR to Track the Change of Alpha Diversity in Dryland Disturbed by Mining.REMOTE SENSING,15(6).
MLA	Zhang, Yan,et al."Assessment of the Capability of Landsat and BiodivMapR to Track the Change of Alpha Diversity in Dryland Disturbed by Mining".REMOTE SENSING 15.6(2023).