A Global Atlas of Specific Leaf Area Under Climate Change
文献类型：期刊论文
| 作者 | Sun, Kuo1,3,4,5; He, Nan1,3,4; Xia, Yifan1,3,4; Li, Yibo2,4,5; Xu, Zhenzhu1,3,4 |
| 刊名 | GLOBAL ECOLOGY AND BIOGEOGRAPHY
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| 出版日期 | 2026 |
| 卷号 | 35期号:1页码:e70193 |
| 关键词 | biome carbon sink climate change environmental science greenhouse gas northern hemisphere physical geography specific leaf area terrestrial ecosystem vegetation |
| ISSN号 | 1466-822X |
| DOI | 10.1111/geb.70193 |
| 产权排序 | 4 |
| 文献子类 | Article |
| 英文摘要 | Motivation Specific leaf area (SLA) is a key plant functional trait linked to plant structural, physiological and resource-use strategies. Despite its importance, spatially continuous data sets capturing SLA variation across global biomes remain scarce, particularly under future climate scenarios. Here, we compile and model a comprehensive global dataset of SLA to assess its current distribution and project responses to climate change. This resource provides critical support for exploring trait-environment relationships, plant community assembly and vegetation-climate feedbacks at broad spatial and temporal scales. Main Types of Variables Contained The dataset consists of a single standardised table containing 24,237 SLA measurements, each linked to geographic coordinates. Observations span 5687 vascular plant species across 282 families and were compiled from peer-reviewed literature, the TRY database and new field collections. Spatial Location and Grain The dataset has global coverage, with SLA predictions provided at a spatial resolution of 1 km(2). Spatial layers include both present-day environmental conditions and projections under future climate scenarios. Time Period and Grain The data represent current climatic conditions and future projections for the following intervals: 2020-2040, 2040-2060, 2060-2080 and 2080-2100 under multiple emissions scenarios. Major Taxa and Level of Measurement Trait data were collected at the species level for vascular plants, with particular emphasis on grasses and trees. These SLA values were measured excluding petioles and were georeferenced to 2437 sampling sites worldwide, enabling consistent cross-biome analyses of functional trait variation. Software Format The raw trait data are provided in comma-separated value (.csv) format. Model outputs, including global SLA predictions, are available as Geotiff (.tif) files suitable for integration into GIS platforms and Earth system models. |
| URL标识 | 查看原文 |
| WOS关键词 | TRAIT RELATIONSHIPS ; PLANT TRAITS ; NITROGEN CONCENTRATION ; HIGH-TEMPERATURE ; CO2 ENRICHMENT ; DRY MASS ; ECONOMICS ; NUTRIENT ; THICKNESS ; DENSITY |
| WOS研究方向 | Environmental Sciences & Ecology ; Physical Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:001677531100001 |
| 出版者 | WILEY |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221062]  |
| 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 | Xu, Zhenzhu |
| 作者单位 | 1.China Natl Bot Garden, Beijing, Peoples R China; 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China 3.Chinese Acad Sci, Key Lab Vegetat & Environm Change, Inst Bot, Beijing, Peoples R China; 4.Univ Chinese Acad Sci, Beijing, Peoples R China; 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Sun, Kuo,He, Nan,Xia, Yifan,et al. A Global Atlas of Specific Leaf Area Under Climate Change[J]. GLOBAL ECOLOGY AND BIOGEOGRAPHY,2026,35(1):e70193. |
| APA | Sun, Kuo,He, Nan,Xia, Yifan,Li, Yibo,&Xu, Zhenzhu.(2026).A Global Atlas of Specific Leaf Area Under Climate Change.GLOBAL ECOLOGY AND BIOGEOGRAPHY,35(1),e70193. |
| MLA | Sun, Kuo,et al."A Global Atlas of Specific Leaf Area Under Climate Change".GLOBAL ECOLOGY AND BIOGEOGRAPHY 35.1(2026):e70193. |
入库方式： OAI收割
来源：地理科学与资源研究所
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