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Data from: Functionally diverse tree stands reduce herbaceous diversity and productivity via canopy packing

Citation

Zheng, Liting et al. (2022), Data from: Functionally diverse tree stands reduce herbaceous diversity and productivity via canopy packing, Dryad, Dataset, https://doi.org/10.5061/dryad.pg4f4qrrd

Abstract

1. There is extensive experimental evidence for the importance of biodiversity in sustaining ecosystem functioning. However, such experiments typically prevent immigration by continuously removing non-target species, thereby questioning the generality of these findings to real-world ecosystems. This is particularly true in forest ecosystems where understorey herbaceous species are key biodiversity components but are usually weeded in tree diversity experiments. Consequently, little is known about how tree diversity influences the natural dynamics of understorey herbaceous layers.

2. We conducted a three-year non-weeded tree diversity experiment composed of eight woody species differing widely in plant economic strategies. We examined how the functional diversity and identity of tree species mixtures drive the temporal dynamics of understorey productivity, functional diversity, and composition through canopy packing.

3. Tree mixtures with high functional diversity experienced increased canopy packing over time, thereby decreasing understorey productivity and diversity. Furthermore, herbaceous communities were dominated by species with functional traits typical of low-light conditions (lower community-weighted mean (CWM) of maximum plant height, but larger CWM of specific leaf area) in response to increased canopy packing.

4. Our results provide mechanistic insights into the role of tree functional diversity in shaping the dynamics of biomass, functional diversity, and composition of the understorey herbaceous layer during the early successional period. It is expected that the effects of tree functional diversity would also be relevant over time due to the increasing usage of canopy space. This study highlights the significance of natural community processes in determining the effects of tree diversity on the temporal dynamics of previously neglected ecosystem structures and functioning.

Methods

The dataset includes the measured data from a three-year non-weeded tree diversity experiment, composed of eight tree species that differed significantly in economic strategies and covering 17 scenarios of tree species compositions in subtropical China. The herbaceous layer survey and tree crown measurement were conducted every year from 2018 to 2020.

Usage Notes

For additional information, please email Liting Zheng or Enrong Yan (ltzheng@stu.ecnu.edu.cn, eryan@des.ecnu.edu.cn).

Funding

National Natural Science Foundation of China, Award: 32030068: State Key Program