干旱区生态环境知识资源中心(Arid): Applicability of different vegetation indices for pasture biomass estimation in the north-central region of Mongolia

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DOI	10.1080/10106049.2021.1974956
	Applicability of different vegetation indices for pasture biomass estimation in the north-central region of Mongolia
	Bayaraa, Batbileg; Hirano, Akira; Purevtseren, Myagmartseren; Vandansambuu, Battsengel; Damdin, Byambasuren; Natsagdorj, Enkhjargal
通讯作者	Purevtseren, M (corresponding author), Natl Univ Mongolia NUM, Sch Arts & Sci, Dept Geog, Ulaanbaatar, Mongolia.
来源期刊	GEOCARTO INTERNATIONAL
ISSN	1010-6049
EISSN	1752-0762
出版年	2021-08
英文摘要	A dependable pasture biomass estimation is critical to prevent the pasture shortages for decision-makers at all levels in Mongolia. Remote sensing technology is expected to be capable of deriving such estimates. Therefore, in this study, we produced and compared linear regression models between above-ground pasture biomass and seven vegetation indices using close-range spectral measurements in the forest-steppe zone, which is one of six vegetation zones of Mongolia. The results indicated that the atmospherically resistant vegetation index (ARVI) (R-2 = 0.62; p < 0.001) showed the highest fit with above-ground biomass in this particular landscape. The dominant perennial grasses in the sampled areas were Stipa krylovii Roshev. and Artemisia frigida Willd., which are commonly grazed in the summer and winter. Therefore, we concluded that the ARVI is the most suitable candidate for estimating pasture biomass in a landscape similar to that widely found in north-central Mongolia. This research will be applicable for pasture monitoring and natural resource studies in Mongolia.
英文关键词	Mongolia pasture biomass vegetation indices
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000694587700001
WOS关键词	ABOVEGROUND BIOMASS ; GRASSLAND ECOSYSTEMS ; INNER-MONGOLIA ; FIELD-SURVEY ; REFLECTANCE ; TEMPERATURE ; NDVI ; DESERTIFICATION ; STEPPE ; COVER
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/2XILL650/363374
作者单位	[Bayaraa, Batbileg; Damdin, Byambasuren] Mongolian Univ Life Sci MULS, Sch Agroecol, Dept Land Management, Ulaanbaatar, Mongolia; [Bayaraa, Batbileg; Purevtseren, Myagmartseren; Vandansambuu, Battsengel] Natl Univ Mongolia NUM, Sch Arts & Sci, Dept Geog, Ulaanbaatar, Mongolia; [Hirano, Akira] Japan Int Res Ctr Agr Sci JIRCAS, Social Sci Div, Tsukuba, Ibaraki, Japan; [Natsagdorj, Enkhjargal] Univ Ghent, Fac Sci, Dept Geog, Ghent, Belgium
推荐引用方式 GB/T 7714	Bayaraa, Batbileg,Hirano, Akira,Purevtseren, Myagmartseren,et al. Applicability of different vegetation indices for pasture biomass estimation in the north-central region of Mongolia[J],2021.
APA	Bayaraa, Batbileg,Hirano, Akira,Purevtseren, Myagmartseren,Vandansambuu, Battsengel,Damdin, Byambasuren,&Natsagdorj, Enkhjargal.(2021).Applicability of different vegetation indices for pasture biomass estimation in the north-central region of Mongolia.GEOCARTO INTERNATIONAL.
MLA	Bayaraa, Batbileg,et al."Applicability of different vegetation indices for pasture biomass estimation in the north-central region of Mongolia".GEOCARTO INTERNATIONAL (2021).