期刊
ECOLOGICAL INDICATORS
卷 145, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.ecolind.2022.109636
关键词
Tibetan Plateau; Vegetation; Phosphorus content; Phosphorus storage; Influencing factors
资金
- National Natural Science Foundation of China [32171544]
- second Tibetan Plateau Scientific Expedition and Research Program (STEP) [2019QZKK060602]
- Chinese Academy of Sciences Priority Research Program [XDA19020302]
This study investigated the distribution and allocation patterns of phosphorus (P) in vegetation on the Tibetan Plateau (TP) and found significant differences among plant organs and the impact of radiation on P storage and allocation. The findings are important for ecosystem modeling.
Phosphorus (P) is critical for vegetation growth and ecosystem productivity. P distribution and allocation pat-terns of plants in natural communities are associated with their resource allocation strategies. However, owing to the lack of systematic research, the spatial variations of vegetation P on the Tibetan Plateau (TP) remain unclear. Based on the 0.5 degrees standardized spatial grid sampling method and survey data obtained from plant organs (leaf, branch, trunk, and root) in 2,040 plant communities, we analyzed the distribution of vegetation P contents (g kg -1) and densities (g P m- 2) on the TP. The results indicate that the vegetation P contents and densities differed significantly among the plant organs on the TP. Active organs contained higher P contents but lower P densities. Radiation dominated vegetation P storage and allocation on the TP. Strong radiation had a negative effect on vegetation P accumulation and caused more P to be allocated to the underground parts. The TP vegetation stored approximately 3.64 Tg of P, of which approximately 1.68, 1.28, 0.68, and 0.01 Tg of P were stored in forests, shrublands, grasslands, and deserts, respectively. Based on a large survey dataset, we determined the spatial distributions of vegetation P and constructed a P density distribution map for TP vegetation, which can be used for ecosystem modeling.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据