High-resolution spatial distribution of vegetation biomass and its environmental response on Qinghai-Tibet Plateau: Intensive grid-field survey
文献类型：期刊论文
| 作者 | Zhu, Xingyu; Hou, Jihua; Li, Mingxu; Xu, Li; Li, Xin; Li, Ying; Cheng, Changjin; Zhao, Wenzong; He, Nianpeng |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2023-05-01 |
| 卷号 | 149页码:110167 |
| ISSN号 | 1872-7034 |
| 关键词 | Biomass Productivity Qinghai -Tibet Plateau Spatial variation Machine learning Adaptation |
| DOI | 10.1016/j.ecolind.2023.110167 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 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. |
| 学科主题 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| WOS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 & Ecology |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/193882]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Institute of Geographic Sciences & Natural Resources Research, CAS 2.Chinese Academy of Sciences 3.Beijing Forestry University 4.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]. ECOLOGICAL INDICATORS,2023,149:110167. |
| 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,149,110167. |
| 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):110167. |
入库方式： OAI收割
来源：地理科学与资源研究所
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