4.5 Article

Plant traits alone are poor predictors of ecosystem properties and long-term ecosystem functioning

期刊

NATURE ECOLOGY & EVOLUTION
卷 4, 期 12, 页码 1602-1611

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41559-020-01316-9

关键词

-

资金

  1. German Science Foundation [DFG Oe516/3-1, DFG Oe516/3-2, DFG Oe516/10-1]

向作者/读者索取更多资源

Analysing >40 plant traits and ecosystem properties over 10 years, the authors find moderate evidence for traits being predictors of ecosystem-level properties within years, but limited evidence for any effect across years. Earth is home to over 350,000 vascular plant species that differ in their traits in innumerable ways. A key challenge is to predict how natural or anthropogenically driven changes in the identity, abundance and diversity of co-occurring plant species drive important ecosystem-level properties such as biomass production or carbon storage. Here, we analyse the extent to which 42 different ecosystem properties can be predicted by 41 plant traits in 78 experimentally manipulated grassland plots over 10 years. Despite the unprecedented number of traits analysed, the average percentage of variation in ecosystem properties jointly explained was only moderate (32.6%) within individual years, and even much lower (12.7%) across years. Most other studies linking ecosystem properties to plant traits analysed no more than six traits and, when including only six traits in our analysis, the average percentage of variation explained in across-year levels of ecosystem properties dropped to 4.8%. Furthermore, we found on average only 12.2% overlap in significant predictors among ecosystem properties, indicating that a small set of key traits able to explain multiple ecosystem properties does not exist. Our results therefore suggest that there are specific limits to the extent to which traits per se can predict the long-term functional consequences of biodiversity change, so that data on additional drivers, such as interacting abiotic factors, may be required to improve predictions of ecosystem property levels.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据