Structural diversity is an important predictor of forest productivity responses to drought

Abstract The response of forest productivity to drought depends on biodiversity and other stand attributes. Biodiversity can regulate productivity through niche complementarity (i.e. greater diversity better utilizes resources to determine ecosystem functioning) and mass‐ratio effects (i.e. dominance drives ecosystem functioning). However, when these forest attributes occur with drought, stress results are mixed. One emerging biodiversity metric is structural diversity, the variation in vegetation size and form. There is a lack of understanding of the interactive effects of structural diversity and drought on forest productivity. Addressing these knowledge gaps can improve the projection of forest dynamics and structural diversity‐based management for drought adaptation. We compiled multiple datasets including repeated survey data of 13,059 trees in 299 plots across southcentral US forests stressed by the 2010–2015 drought. We used the Random Forest algorithm to examine how structural diversity and other factors influenced three aspects of productivity measured by above‐ground wood biomass: ingrowth, growth, and net change accounting for mortality. Our results showed that (1) Among the eight stand attributes studied, structural diversity was among the top three variables showing the greatest main and interactive effects of drought on forest productivity, except for the interactive effect on ingrowth; (2) The drought‐related losses in forest growth and biomass net change were exacerbated in forests with greater structural diversity; (3) Compared with the species and functional diversity metrics, functional identities had greater interactive effects with drought on forest productivity (except for the ingrowth). Synthesis and applications : Productivity losses related to drought increased with greater structural diversity and decreased with functional identities characterized by conservative resource strategies, such as a high leaf carbon–nitrogen ratio. Thus, structural diversity and functional identity could be considered in projecting and managing forest dynamics under climate change. The comparisons between functional identity and the diversity metrics support the important role of the mass‐ratio effect in forest productivity during drought.

Authors

Institutions

Publication Details

Journal
Journal of Applied Ecology
Published
2025-02-04
DOI
https://doi.org/10.1111/1365-2664.14883
Citations
5
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
5.53

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural diversity is an important predictor of forest productivity responses to drought

Samantha Murray, Rodney E. Will, Omkar Joshi, Hamed Gholizadeh et al.
5 citations
Journal of Applied Ecology
Plant Water Relations and Carbon Dynamics
5.53
article

Structural diversity is an important predictor of forest productivity responses to drought

Samantha Murray, Rodney E. Will, Omkar Joshi, Hamed Gholizadeh, Lu Zhai
article en
5 citations

Abstract

Abstract The response of forest productivity to drought depends on biodiversity and other stand attributes. Biodiversity can regulate productivity through niche complementarity (i.e. greater diversity better utilizes resources to determine ecosystem functioning) and mass‐ratio effects (i.e. dominance drives ecosystem functioning). However, when these forest attributes occur with drought, stress results are mixed. One emerging biodiversity metric is structural diversity, the variation in vegetation size and form. There is a lack of understanding of the interactive effects of structural diversity and drought on forest productivity. Addressing these knowledge gaps can improve the projection of forest dynamics and structural diversity‐based management for drought adaptation. We compiled multiple datasets including repeated survey data of 13,059 trees in 299 plots across southcentral US forests stressed by the 2010–2015 drought. We used the Random Forest algorithm to examine how structural diversity and other factors influenced three aspects of productivity measured by above‐ground wood biomass: ingrowth, growth, and net change accounting for mortality. Our results showed that (1) Among the eight stand attributes studied, structural diversity was among the top three variables showing the greatest main and interactive effects of drought on forest productivity, except for the interactive effect on ingrowth; (2) The drought‐related losses in forest growth and biomass net change were exacerbated in forests with greater structural diversity; (3) Compared with the species and functional diversity metrics, functional identities had greater interactive effects with drought on forest productivity (except for the ingrowth). Synthesis and applications : Productivity losses related to drought increased with greater structural diversity and decreased with functional identities characterized by conservative resource strategies, such as a high leaf carbon–nitrogen ratio. Thus, structural diversity and functional identity could be considered in projecting and managing forest dynamics under climate change. The comparisons between functional identity and the diversity metrics support the important role of the mass‐ratio effect in forest productivity during drought.

Journal of Applied EcologyVol. 62(4)
Oklahoma State University (US)
Oklahoma Center for the Advancement of Science and Technology, National Institute of Food and Agriculture
Openalex Percentile: Top 5%
Plant Water Relations and Carbon Dynamics
5.53
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.