$Estimating fractional cover of non-photosynthetic vegetation for various grasslands based on CAI and DFI$
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Estimating fractional cover of non-photosynthetic vegetation for various grasslands based on CAI and DFI

Non-photosynthetic vegetation (NPV) is a vital component of terrestrial ecosystems and an important indicator of grassland degradation, therefore, it is of great significance to realize its accurate evaluation. Here, we analyzed spectral characteristics of NPV of different biomass types in undisturb...

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Autores principales:	Xuelian Bai, Wenzhi Zhao, Shuxin Ji, Rongrong Qiao, Chunyuan Dong, Xueli Chang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Non-photosynthetic vegetation Dead fuel index Cellulose absorption index Evaluation model Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/646ea9e70efe4cee81af5cd9aac7aae4
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id	oai:doaj.org-article:646ea9e70efe4cee81af5cd9aac7aae4
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spelling	oai:doaj.org-article:646ea9e70efe4cee81af5cd9aac7aae42021-12-01T05:01:21ZEstimating fractional cover of non-photosynthetic vegetation for various grasslands based on CAI and DFI1470-160X10.1016/j.ecolind.2021.108252https://doaj.org/article/646ea9e70efe4cee81af5cd9aac7aae42021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21009171https://doaj.org/toc/1470-160XNon-photosynthetic vegetation (NPV) is a vital component of terrestrial ecosystems and an important indicator of grassland degradation, therefore, it is of great significance to realize its accurate evaluation. Here, we analyzed spectral characteristics of NPV of different biomass types in undisturbed vegetation (herb, subshrub and shrub), and established relationship models among dead fuel index (DFI), cellulose absorption index (CAI) and fractional cover of NPV (fNPV) based on ground hyperspectral data; then, fNPV of four grassland types were evaluated based on the models. Our results showed that: (1) NPV reflectance exhibited similar change trends for herb, subshrub, shrub, and a mixed type, although there were significant differences among values, (2) DFI and CAI, CAI and fNPV, DFI and fNPV were significantly positively correlated (p < 0.001), (3) the maximum fNPV estimation accuracy of CAI was higher than that of DFI, and the values were 85 and 75%, respectively, (4) fNPV differed significantly among the four grasslands, with highest in meadow grassland (77%) and lowest in desert grassland (43%). We conclude that fNPV has obvious heterogeneity among different vegetation types, and both CAI and DFI can be used to reflect fNPV although there is difference in evaluation performance.Xuelian BaiWenzhi ZhaoShuxin JiRongrong QiaoChunyuan DongXueli ChangElsevierarticleNon-photosynthetic vegetationDead fuel indexCellulose absorption indexEvaluation modelEcologyQH540-549.5ENEcological Indicators, Vol 131, Iss , Pp 108252- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Non-photosynthetic vegetation Dead fuel index Cellulose absorption index Evaluation model Ecology QH540-549.5
spellingShingle	Non-photosynthetic vegetation Dead fuel index Cellulose absorption index Evaluation model Ecology QH540-549.5 Xuelian Bai Wenzhi Zhao Shuxin Ji Rongrong Qiao Chunyuan Dong Xueli Chang Estimating fractional cover of non-photosynthetic vegetation for various grasslands based on CAI and DFI
description	Non-photosynthetic vegetation (NPV) is a vital component of terrestrial ecosystems and an important indicator of grassland degradation, therefore, it is of great significance to realize its accurate evaluation. Here, we analyzed spectral characteristics of NPV of different biomass types in undisturbed vegetation (herb, subshrub and shrub), and established relationship models among dead fuel index (DFI), cellulose absorption index (CAI) and fractional cover of NPV (fNPV) based on ground hyperspectral data; then, fNPV of four grassland types were evaluated based on the models. Our results showed that: (1) NPV reflectance exhibited similar change trends for herb, subshrub, shrub, and a mixed type, although there were significant differences among values, (2) DFI and CAI, CAI and fNPV, DFI and fNPV were significantly positively correlated (p < 0.001), (3) the maximum fNPV estimation accuracy of CAI was higher than that of DFI, and the values were 85 and 75%, respectively, (4) fNPV differed significantly among the four grasslands, with highest in meadow grassland (77%) and lowest in desert grassland (43%). We conclude that fNPV has obvious heterogeneity among different vegetation types, and both CAI and DFI can be used to reflect fNPV although there is difference in evaluation performance.
format	article
author	Xuelian Bai Wenzhi Zhao Shuxin Ji Rongrong Qiao Chunyuan Dong Xueli Chang
author_facet	Xuelian Bai Wenzhi Zhao Shuxin Ji Rongrong Qiao Chunyuan Dong Xueli Chang
author_sort	Xuelian Bai
title	Estimating fractional cover of non-photosynthetic vegetation for various grasslands based on CAI and DFI
title_short	Estimating fractional cover of non-photosynthetic vegetation for various grasslands based on CAI and DFI
title_full	Estimating fractional cover of non-photosynthetic vegetation for various grasslands based on CAI and DFI
title_fullStr	Estimating fractional cover of non-photosynthetic vegetation for various grasslands based on CAI and DFI
title_full_unstemmed	Estimating fractional cover of non-photosynthetic vegetation for various grasslands based on CAI and DFI
title_sort	estimating fractional cover of non-photosynthetic vegetation for various grasslands based on cai and dfi
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/646ea9e70efe4cee81af5cd9aac7aae4
work_keys_str_mv	AT xuelianbai estimatingfractionalcoverofnonphotosyntheticvegetationforvariousgrasslandsbasedoncaianddfi AT wenzhizhao estimatingfractionalcoverofnonphotosyntheticvegetationforvariousgrasslandsbasedoncaianddfi AT shuxinji estimatingfractionalcoverofnonphotosyntheticvegetationforvariousgrasslandsbasedoncaianddfi AT rongrongqiao estimatingfractionalcoverofnonphotosyntheticvegetationforvariousgrasslandsbasedoncaianddfi AT chunyuandong estimatingfractionalcoverofnonphotosyntheticvegetationforvariousgrasslandsbasedoncaianddfi AT xuelichang estimatingfractionalcoverofnonphotosyntheticvegetationforvariousgrasslandsbasedoncaianddfi
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Estimating fractional cover of non-photosynthetic vegetation for various grasslands based on CAI and DFI

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