Dominant roles but distinct effects of groundwater depth on regulating leaf and fine-root N, P and N:P ratios of plant communities
文献类型:期刊论文
作者 | Wang, Yin1,2; Wang, Jianming1,2,3; Wang, Xiaolin1,2; He, Yicheng1,2; Li, Guanjun1,2; Li, Jingwen1,2 |
刊名 | JOURNAL OF PLANT ECOLOGY |
出版日期 | 2021-12-01 |
卷号 | 14期号:6页码:1158-1174 |
ISSN号 | 1752-9921 |
关键词 | ecological stoichiometry groundwater depth N P ratio fine-root leaf arid inland river basin |
DOI | 10.1093/jpe/rtab062 |
通讯作者 | Li, Jingwen(Lijingwenhy@bjfu.edu.cn) |
英文摘要 | Aims As the determinant of water availability in drylands, groundwater plays a fundamental role in regulating vegetation distribution and ecosystem processes. Although considerable progress has been made over the past years in the relationship between environment stress and plant community-level traits, the potential influence of water stress induced by groundwater changes on plant community-level stoichiometry remains largely unclear. Here, we examined whether belowground and aboveground community-level stoichiometry responded differently to groundwater changes. Methods We measured nitrogen (N) and phosphorus (P) concentrations in plant leaves and fine-roots of 110 plots under a broad range of groundwater depths in a typical arid inland river basin. We examined the spatial patterns and drivers of community-level N:P stoichiometry in leaves and fine-roots. Important Findings Community-level leaf and fine-root N, P and N:P ratios were mainly determined by groundwater, vegetation types and species composition, among which groundwater played a dominant role. Groundwater indirectly regulated community-level N:P stoichiometry through affecting vegetation types and species composition. Vegetation types and species composition had significant direct influences on community-level N:P stoichiometry. Furthermore, groundwater depth had opposite influences on community-level leaf and fine-root N:P stoichiometry. Groundwater depth regulated vegetation types and further decreased leaf N, P but increased leaf N:P ratios and fine-root N. Groundwater depth had a positive indirect impact on fine-root P but a negative indirect impact on fine-root N:P ratios primarily by affecting species composition. Our findings indicate that groundwater rather than climate conditions effectively regulates community-level N:P stoichiometry, and below- and aboveground N:P stoichiometry has opposite responses to groundwater. |
WOS关键词 | DESERT RIPARIAN FOREST ; INLAND RIVER-BASIN ; SOIL PROPERTIES ; LOWER REACHES ; TARIM RIVER ; PHOSPHORUS STOICHIOMETRY ; NUTRIENT TRAITS ; NITROGEN ; VEGETATION ; DIVERSITY |
资助项目 | National Natural Science Foundation of China[31971538] ; National Natural Science Foundation of China[31570610] |
WOS研究方向 | Plant Sciences ; Environmental Sciences & Ecology ; Forestry |
语种 | 英语 |
出版者 | OXFORD UNIV PRESS |
WOS记录号 | WOS:000784328900013 |
资助机构 | National Natural Science Foundation of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/174850] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Li, Jingwen |
作者单位 | 1.Beijing Forestry Univ, Sch Ecol & Nat Conservat, Beijing 100083, Peoples R China 2.Beijing Forestry Univ, Ejina Inst Populus Euphrat, Ejina 735400, Inner Mongolia, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Yin,Wang, Jianming,Wang, Xiaolin,et al. Dominant roles but distinct effects of groundwater depth on regulating leaf and fine-root N, P and N:P ratios of plant communities[J]. JOURNAL OF PLANT ECOLOGY,2021,14(6):1158-1174. |
APA | Wang, Yin,Wang, Jianming,Wang, Xiaolin,He, Yicheng,Li, Guanjun,&Li, Jingwen.(2021).Dominant roles but distinct effects of groundwater depth on regulating leaf and fine-root N, P and N:P ratios of plant communities.JOURNAL OF PLANT ECOLOGY,14(6),1158-1174. |
MLA | Wang, Yin,et al."Dominant roles but distinct effects of groundwater depth on regulating leaf and fine-root N, P and N:P ratios of plant communities".JOURNAL OF PLANT ECOLOGY 14.6(2021):1158-1174. |
入库方式: OAI收割
来源:地理科学与资源研究所
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