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Data from: Intra-specific variation in tree growth responses to neighborhood composition and seasonal drought in a tropical forest

Citation

Yang, Jie et al. (2020), Data from: Intra-specific variation in tree growth responses to neighborhood composition and seasonal drought in a tropical forest, Dryad, Dataset, https://doi.org/10.5061/dryad.w9ghx3fm5

Abstract

1. 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.

2. Here, we modeled 8 years of growth from 1,138 individual trees from 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.

3. 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 provide nuanced insights into the drivers of tree growth in a tropical forest.

4. 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.

Methods

This study uses a subset of trees in the forest plot that have growth monitored on a fine temporal scale using dendrometer bands.For each focal tree, tree circumference increments were transformed into diameter first, we then calculated its annual absolute diameter growth (AGR) during the dry season and wet season per year from November 2009 to May 2018. All AGR values that exceed four standard deviations from the mean were discarded (c. 5%), we finally obtained a dataset containing 65,506 growth records for 1,138 individual trees belonging to 36 species. We measured four functional traits for each tree with a dendrometer band using the standard protocols described in Cornelissen et al. (2003).

Funding

the Strategic Priority Research Program of the Chinese Academy of Sciences, Award: XDB31000000

National Natural Science Foundation of China, Award: 31800353

the CAS 135 program, Award: 2017XTBG-T01

Youth Innovation Promotion Association of the Chinese Academy of Sciences, Award: 2016352

Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Award: Y4ZK111B01

West Light Foundation of the Chinese Academy of Sciences

Ten Thousand Talents Program of Yunnan, Award: YNWR-QNBJ-2018-309

NSF US-China Dimensions of Biodiversity grants, Award: DEB-1241136

National Natural Science Foundation of China, Award: 31670442

NSF US-China Dimensions of Biodiversity grants, Award: DEB-1046113

the Strategic Priority Research Program of the Chinese Academy of Sciences, Award: XDB31000000

the CAS 135 program, Award: 2017XTBG-T01

Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Award: Y4ZK111B01

Ten Thousand Talents Program of Yunnan, Award: YNWR-QNBJ-2018-309

NSF US-China Dimensions of Biodiversity grants, Award: DEB-1241136