Leaf N:P ratio does not predict productivity trends across natural terrestrial ecosystems
文献类型:期刊论文
作者 | Zhang, Jiahui1; Hedin, Lars O.2; Li, Mingxu1; Xu, Li1; Yan, Pu1,3; Dai, Guanhua4; He, Nianpeng1,3,5 |
刊名 | ECOLOGY
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出版日期 | 2022-07-28 |
页码 | 11 |
关键词 | community growth rate hypothesis nitrogen net primary productivity phosphorus stoichiometry |
ISSN号 | 0012-9658 |
DOI | 10.1002/ecy.3789 |
通讯作者 | He, Nianpeng(henp@igsnrr.ac.cn) |
英文摘要 | Nitrogen (N) and phosphorus (P) are crucial nutrients for regulating plant growth. The classic growth rate hypothesis (GRH) proposes that fast-growing organisms have lower N:P ratios, and it is promising to predict net primary productivity (NPP) using the leaf N:P ratio at the community level (N:P-Com). However, whether leaf N:P ratio can predict NPP in natural ecosystems on a large scale remains nebulous. Here, we systematically calculated leaf N:P-Com (community biomass-weighted mean and species arithmetic mean) using the consistently measured data of 2192 plant species-site combinations and productivity (biomass-based aboveground NPP and flux-based NPP) in 66 natural ecosystems in China. Unexpectedly, leaf N:P-Com hardly predicted productivity in natural ecosystems due to their weak correlation, although significantly negative or positive relationships across different ecosystems were observed. The ambiguous relationship between leaf N:P and species dominance reflected a luxury consumption of N and P in turnover and structure in natural communities, unlike what GRH suggests. Climate, soil, and leaf nutrients (rather than N:P) influenced productivity, which highlighted the importance of external environment and nutrient constrains. Our findings pose a major challenge for leaf N:P-Com as a direct parameter in productivity models and further question the direct application of classic hypotheses in short-term experiments or model species to long-term and complex natural ecosystems. |
WOS关键词 | NET PRIMARY PRODUCTION ; GROWTH-RATE ; STOICHIOMETRY ; TRAITS ; NITROGEN ; CLIMATE ; PLANTS ; SOIL |
资助项目 | National Natural Science Foundation of China[31988102] ; National Natural Science Foundation of China[32001186] ; National Natural Science Foundation of China[42141004] ; National Science and Technology Basic Resources Survey Program of China[2019FY101300] ; [2021M703186] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000831034500001 |
出版者 | WILEY |
资助机构 | National Natural Science Foundation of China ; National Science and Technology Basic Resources Survey Program of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/181370] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | He, Nianpeng |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China 2.Princeton Univ, Dept Ecol & Evolut Biol, Princeton, NJ 08544 USA 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 4.Chinese Acad Sci, Res Stn Changbai Mt Forest Ecosyst, Antu, Peoples R China 5.Northeast Forestry Univ, Ctr Ecol Res, Harbin, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Jiahui,Hedin, Lars O.,Li, Mingxu,et al. Leaf N:P ratio does not predict productivity trends across natural terrestrial ecosystems[J]. ECOLOGY,2022:11. |
APA | Zhang, Jiahui.,Hedin, Lars O..,Li, Mingxu.,Xu, Li.,Yan, Pu.,...&He, Nianpeng.(2022).Leaf N:P ratio does not predict productivity trends across natural terrestrial ecosystems.ECOLOGY,11. |
MLA | Zhang, Jiahui,et al."Leaf N:P ratio does not predict productivity trends across natural terrestrial ecosystems".ECOLOGY (2022):11. |
入库方式: OAI收割
来源:地理科学与资源研究所
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