Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Intraspecific variation in tree growth responses to neighbourhood composition and seasonal drought in a tropical forest
Journal of Ecology ( IF 5.3 ) Pub Date : 2020-05-29 , DOI: 10.1111/1365-2745.13439 Jie Yang 1, 2 , Xiaoyang Song 1, 3 , Jenny Zambrano 4 , Yuxin Chen 5 , Min Cao 1 , Xiaobao Deng 1 , Wenfu Zhang 1 , Xiaofei Yang 1 , Guocheng Zhang 1 , Yong Tang 1 , Nathan G. Swenson 6
中文翻译：
热带森林中树木生长对邻里组成和季节性干旱的种内变化
更新日期：2020-05-29
Journal of Ecology ( IF 5.3 ) Pub Date : 2020-05-29 , DOI: 10.1111/1365-2745.13439 Jie Yang 1, 2 , Xiaoyang Song 1, 3 , Jenny Zambrano 4 , Yuxin Chen 5 , Min Cao 1 , Xiaobao Deng 1 , Wenfu Zhang 1 , Xiaofei Yang 1 , Guocheng Zhang 1 , Yong Tang 1 , Nathan G. Swenson 6
Affiliation
|
- Functional traits are expected to provide insights into the abiotic and biotic drivers of plant demography. However, successfully linking traits to plant demographic performance likely requires the consideration of important contextual and individual‐level information that is often ignored in trait‐based ecology.
- Here, we modelled 8 years of growth from 1,138 individual trees in 36 tropical rain forest species. We compared models of tree growth parameterized using individual‐level versus species mean trait data. We also compared models that considered regional climatic, local biotic and whole‐plant allocation contexts to those that do not.
- Our analyses show that growth models parameterized using individual‐level trait information outperformed those that used species mean trait information and that these models often contradicted one another indicating that the common practice of using species mean trait data requires more scrutiny. Additionally, we found that models including climatic, biotic and allocation contexts outperformed those that did not and provided nuanced insights into the drivers of tree growth in a tropical forest.
- Synthesis. Here we have shown that the development of models of tree demographic performance upon the basis of traits can be improved through a consideration of individual‐level trait variation as well as phenotypic and climatic contexts. We highlight that our ability to understand the drivers of tree population and community structure and dynamics in current and in future climates will be limited if contextual and individual‐level data remains understudied.
中文翻译：
热带森林中树木生长对邻里组成和季节性干旱的种内变化
- 预期功能性状将提供有关植物人口统计学的非生物和生物驱动因素的见识。然而，成功地将性状与植物的人口统计性能联系起来可能需要考虑重要的背景和个体层面的信息，而在基于性状的生态学中通常会忽略这些信息。
- 在这里，我们模拟了36种热带雨林物种中1,138棵单株树木8年的生长。我们比较了使用个体水平与物种平均特征数据参数化的树木生长模型。我们还比较了考虑区域气候，当地生物和整个植物分配环境的模型与未考虑环境的模型。
- 我们的分析表明，使用个体水平特征信息参数化的生长模型要优于那些使用物种均值特征信息的增长模型，而且这些模型常常相互矛盾，这表明使用物种均值特征数据的普遍做法需要更多的审查。此外，我们发现，包括气候，生物和分配环境在内的模型均优于那些没有的模型，并提供了对热带森林树木生长驱动力的细微见解。
- 综合。在这里，我们表明，通过考虑个体水平的性状变异以及表型和气候环境，可以改善基于性状的树木人口统计性能模型的开发。我们着重指出，如果对上下文和个人级别的数据进行的研究仍不够深入，那么我们了解树木种群，社区结构以及当前和未来气候变化的动因的能力将受到限制。
京公网安备 11010802027423号