气候变化领域集成服务门户(CCPortal): High-resolution spatial distribution of vegetation biomass and its environmental response on Qinghai-Tibet Plateau: Intensive grid-field survey

CCPortal

DOI	10.1016/j.ecolind.2023.110167
	High-resolution spatial distribution of vegetation biomass and its environmental response on Qinghai-Tibet Plateau: Intensive grid-field survey
	Zhu, Xingyu; Hou, Jihua; Li, Mingxu; Xu, Li; Li, Xin; Li, Ying; Cheng, Changjin; Zhao, Wenzong; He, Nianpeng
发表日期	2023
ISSN	1470-160X
EISSN	1872-7034
卷号	149
英文摘要	Due to the complexity of extremely high altitude, topography, and climate, accurately estimating regional biomass is essential yet challenging in alpine regions such as the Qinghai-Tibet Plateau (QTP). Here, we conducted an intensive grid-field survey using a matched-measured biomass dataset of 2,040 field plots on the QTP to obtain high-resolution biomass estimates and their unique response to the environment. The biomass differed significantly among different vegetation types and was highest in evergreen coniferous forests and lowest in alpine grasslands. In addition to traditional mean temperature and precipitation, ultraviolet radiation of growing season (UVGS), and the partial pressure of CO2 (PCO2) were also important factors influencing the spatial variation of vegetation biomass on the QTP. Furthermore, we simulated the spatial distribution of aboveground, belowground, and total biomass on the QTP at a 1-km resolution using the random forest algorithm, with the coefficient of determination (R2) as 0.78, 0.57, and 0.72, respectively. The new estimate of vegetation biomass on the QTP with the intensive field-survey data was 3.16 Gt, including 1.80 Gt in forests, 0.77 Gt in shrubs, 0.52 Gt in grasslands, and 0.07 Gt in deserts. Because of the unique response of biomass to the external environment, such as UVGS and PCO2, we assessed the underlying response of terrestrial ecosystems to global change more comprehensively, especially for sensitive alpine or high-latitude regions in the future. The high-resolution biomass maps may serve as support for regional carbon sink assessment and ecosystem management and conservation, and may provide important parameters for ecological process modeling.
关键词	Biomass Productivity Qinghai -Tibet Plateau Spatial variation Machine learning Adaptation
英文关键词	GRASSLAND ABOVEGROUND BIOMASS; NET PRIMARY PRODUCTIVITY; FOREST BIOMASS; CLIMATE-CHANGE; GROWING STOCK; ALPINE; RADIATION; NITROGEN; REGION; IMAGES
WOS研究方向	Biodiversity Conservation ; Environmental Sciences
WOS记录号	WOS:001001571100001
来源期刊	ECOLOGICAL INDICATORS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/282641
作者单位	Beijing Forestry University; Beijing Forestry University; Chinese Academy of Sciences; Institute of Geographic Sciences & Natural Resources Research, CAS; Beijing Forestry University; Minzu University of China
推荐引用方式 GB/T 7714	Zhu, Xingyu,Hou, Jihua,Li, Mingxu,et al. High-resolution spatial distribution of vegetation biomass and its environmental response on Qinghai-Tibet Plateau: Intensive grid-field survey[J],2023,149.
APA	Zhu, Xingyu.,Hou, Jihua.,Li, Mingxu.,Xu, Li.,Li, Xin.,...&He, Nianpeng.(2023).High-resolution spatial distribution of vegetation biomass and its environmental response on Qinghai-Tibet Plateau: Intensive grid-field survey.ECOLOGICAL INDICATORS,149.
MLA	Zhu, Xingyu,et al."High-resolution spatial distribution of vegetation biomass and its environmental response on Qinghai-Tibet Plateau: Intensive grid-field survey".ECOLOGICAL INDICATORS 149(2023).