Trait space and compactness: A new perspective on explaining variations in primary productivity
文献类型：期刊论文
| 作者 | Zhang, Jiahui2,6; Yu, Kailiang4,6; Reichstein, Markus1,5,13; Xu, Li6,12; Wright, Ian J.10,11; Migliavacca, Mirco9; Gomarasca, Ulisse5; Laughlin, Daniel C.8; Cen, Xiaoyu6,12; Liu, Congcong3,7 |
| 刊名 | ECOLOGY
 |
| 出版日期 | 2026 |
| 卷号 | 107期号:1页码:e70278 |
| 关键词 | compactness coordination GPP multidimensions spatial-temporal variation trait space |
| ISSN号 | 0012-9658 |
| DOI | 10.1002/ecy.70278 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | A fundamental question in ecology is why plant communities have large trait space yet strong coordination among those traits across large scales, despite these patterns seeming contradictory. Answering this question requires quantitatively linking the geographic distribution of trait space and coordination with gross primary productivity (GPP). We leveraged an unprecedented large-scale dataset of nine leaf traits for 5718 species-site combinations with simultaneous field measurements of plant community composition in 64 naturally assembled communities to investigate trait spaces (hypervolume, quantity dimension) and trait compactness (coordination, efficiency dimension) and their influence on GPP. Trait space and compactness combined explained 72% of the variation of GPP. Interestingly, a larger trait space (more diverse trait combinations) drove higher GPP in resource-poor communities, while higher trait compactness (greater coordination of traits) determined higher GPP in resource-rich communities. Our findings provide a new perspective that natural plant communities increase both trait space and compactness to improve GPP, shedding light on the development of multidimensional functional ecology. |
| URL标识 | 查看原文 |
| WOS关键词 | FUNCTIONAL DIVERSITY ; LEAF ECONOMICS ; PLANT ; BIODIVERSITY ; WATER ; PATTERNS ; NITROGEN ; ECOLOGY ; NICHES |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001676049000013 |
| 出版者 | WILEY |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221063]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 通讯作者 | He, Nianpeng |
| 作者单位 | 1.German Ctr Integrat Biodivers Res iDiv, Leipzig, Germany; 2.Northeast Forestry Univ, Minist Educ, Key Lab Sustainable Forest Ecosyst Management, Harbin, Peoples R China; 3.Minzu Univ China, Coll Life & Environm Sci, Beijing, Peoples R China 4.Princeton Univ, High Meadows Environm Inst, Princeton, NJ USA; 5.Max Planck Inst Biogeochem, Jena, Germany; 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China; 7.Minzu Univ China, Natl Ethn Affairs Commiss, Key Lab Ecol & Environm Minor Areas, Beijing, Peoples R China; 8.Univ Wyoming, Dept Bot, Laramie, WY USA; 9.European Commiss, Joint Res Ctr JRC, Ispra, Italy; 10.Macquarie Univ, Sch Nat Sci, Sydney, NSW, Australia; |
| 推荐引用方式 GB/T 7714 | Zhang, Jiahui,Yu, Kailiang,Reichstein, Markus,et al. Trait space and compactness: A new perspective on explaining variations in primary productivity[J]. ECOLOGY,2026,107(1):e70278. |
| APA | Zhang, Jiahui.,Yu, Kailiang.,Reichstein, Markus.,Xu, Li.,Wright, Ian J..,...&He, Nianpeng.(2026).Trait space and compactness: A new perspective on explaining variations in primary productivity.ECOLOGY,107(1),e70278. |
| MLA | Zhang, Jiahui,et al."Trait space and compactness: A new perspective on explaining variations in primary productivity".ECOLOGY 107.1(2026):e70278. |
入库方式： OAI收割
来源：地理科学与资源研究所
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