Predicting ecosystem productivity based on plant community traits
文献类型：期刊论文
| 作者 | He, Nianpeng11,12; Yan, Pu12; Liu, Congcong; Xu, Li; Li, Mingxu; Van Meerbeek, Koenraad9,10; Zhou, Guangsheng2; Zhou, Guoyi3; Liu, Shirong5; Zhou, Xuhui6 |
| 刊名 | TRENDS IN PLANT SCIENCE
 |
| 出版日期 | 2023 |
| 卷号 | 28期号:1页码:43-53 |
| ISSN号 | 1360-1385 |
| DOI | 10.1016/j.tplants.2022.08.015 |
| 文献子类 | Review |
| 英文摘要 | With the rapid accumulation of plant trait data, major opportunities have arisen for the integration of these data into predicting ecosystem primary productivity across a range of spatial extents. Traditionally, traits have been used to explain physiological productivity at cell, organ, or plant scales, but scaling up to the ecosystem scale has remained challenging. Here, we show the need to combine measures of community-level traits and environmental factors to predict ecosystem productivity at landscape or biogeographic scales. We show how theory can extend the production ecology equation to enormous potential for integrating traits into ecological models that estimate productivity-related ecosystem functions across ecological scales and to anticipate the response of terrestrial ecosystems to global change. |
| 学科主题 | Plant Sciences |
| 电子版国际标准刊号 | 1878-4372 |
| 出版地 | CAMBRIDGE |
| WOS关键词 | LEAF TRAITS ; BIG-LEAF ; NITROGEN ; CLIMATE ; CO2 ; PHOTOSYNTHESIS ; STOICHIOMETRY ; EFFICIENCY ; GROWTH ; LEVEL |
| WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
| 语种 | 英语 |
| 出版者 | CELL PRESS |
| WOS记录号 | WOS:000923202700001 |
| 资助机构 | Second Tibetan Plateau Scientific Expedition and Research Program [2019QZKK060602] ; CAS Project for Young Scientists in Basic Research [YSBR-037] ; National Natural Science Foundation of China [42141004, 31988102] ; National Science and Technology Basic Resources Survey Program of China [2019FY101304] ; National Science Foundation [1457279, 1951244] ; US Department of Agriculture National Institute of Food and Agriculture (Hatch Project) [1016439] ; Division Of Integrative Organismal Systems ; Direct For Biological Sciences [1951244] Funding Source: National Science Foundation |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/29104]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Buckley, Thomas N.] Univ Calif Davis, Dept Plant Sci, Davis, CA USA 2.Katholieke Univ Leuven, KU Leuven Plant Inst, Leuven, Belgium 3.Chinese Acad Meteorol Sci, Haidian Dist, Beijing, Peoples R China 4.Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA 90095 USA 5.Nanjing Univ Informat Sci & Technol, Inst Ecol, Sch Appl Meteorol, Nanjing, Peoples R China 6.Chinese Acad Forestry, Inst Forest Ecol Environm & Protect, Key Lab Forest Ecol & Environm, Chinas State Forestry Adm, Beijing, Peoples R China 7.East China Normal Univ, Sch Ecol & Environm Sci, Shanghai, Peoples R China 8.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China 9.Katholieke Univ Leuven, Dept Earth & Environm Sci, Div Forest Nat & Landscape, Leuven, Belgium 10.Northeast Forestry Univ, Ctr Ecol Res, Harbin 150040, Peoples R China |
| 推荐引用方式 GB/T 7714 | He, Nianpeng,Yan, Pu,Liu, Congcong,et al. Predicting ecosystem productivity based on plant community traits[J]. TRENDS IN PLANT SCIENCE,2023,28(1):43-53. |
| APA | He, Nianpeng.,Yan, Pu.,Liu, Congcong.,Xu, Li.,Li, Mingxu.,...&Yu, Guirui.(2023).Predicting ecosystem productivity based on plant community traits.TRENDS IN PLANT SCIENCE,28(1),43-53. |
| MLA | He, Nianpeng,et al."Predicting ecosystem productivity based on plant community traits".TRENDS IN PLANT SCIENCE 28.1(2023):43-53. |
入库方式： OAI收割
来源：植物研究所
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