Inferring Adaptation at Community Composition Level From the Relationship Between Succession Rate and Global Change Intensity

ABSTRACT In response to anthropogenic environmental changes, biological communities often undergo compositional changes, which are traditionally thought to represent adaptation. However, this hypothesis and its mechanism remain surprisingly underexplored. In this study, we conducted a 10‐year nitrogen deposition experiment in the Eurasian steppe, manipulating nine intensities under two management strategies (fencing or mowing). As the intensity increased from 0–20 to 50 g N m −2 yr −1 , the succession rates of both plant and soil microbial communities first increased but then decreased, implying that high intensities of N deposition exceed the capacity of community adaptation. In addition, both the succession rate of the deterministic component of community compositional variation and the succession rate of soil physicochemical characteristics increased and then decreased with increasing N intensity. They were positively correlated, demonstrating that adaptation is primarily driven by deterministic ecological processes. Meanwhile, mowing promoted the plant community's adaptation, while fencing promoted adaptation of the microbial community, both by restraining stochastic processes. Overall, to enable biological communities to adapt compositionally to environmental changes, we should aim to limit the intensity of changes below certain thresholds, and implement reasonable strategies, whether deterministic (e.g., restoring soil physicochemical conditions) or stochastic (e.g., adding seeds of adaptive species).

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Publication Details

Journal
Environmental Microbiology Reports
Published
2026-09-30
DOI
https://doi.org/10.1111/1758-2229.70426
Primary Topic
Microbial Community Ecology and Physiology
Type
article
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Inferring Adaptation at Community Composition Level From the Relationship Between Succession Rate and Global Change Intensity

Rong Mao, Ximei Zhang, Tingling Li, Yang Zhang
Environmental Microbiology Reports
Microbial Community Ecology and Physiology
article

Inferring Adaptation at Community Composition Level From the Relationship Between Succession Rate and Global Change Intensity

Rong Mao, Ximei Zhang, Tingling Li, Yang Zhang
article en

Abstract

ABSTRACT In response to anthropogenic environmental changes, biological communities often undergo compositional changes, which are traditionally thought to represent adaptation. However, this hypothesis and its mechanism remain surprisingly underexplored. In this study, we conducted a 10‐year nitrogen deposition experiment in the Eurasian steppe, manipulating nine intensities under two management strategies (fencing or mowing). As the intensity increased from 0–20 to 50 g N m −2 yr −1 , the succession rates of both plant and soil microbial communities first increased but then decreased, implying that high intensities of N deposition exceed the capacity of community adaptation. In addition, both the succession rate of the deterministic component of community compositional variation and the succession rate of soil physicochemical characteristics increased and then decreased with increasing N intensity. They were positively correlated, demonstrating that adaptation is primarily driven by deterministic ecological processes. Meanwhile, mowing promoted the plant community's adaptation, while fencing promoted adaptation of the microbial community, both by restraining stochastic processes. Overall, to enable biological communities to adapt compositionally to environmental changes, we should aim to limit the intensity of changes below certain thresholds, and implement reasonable strategies, whether deterministic (e.g., restoring soil physicochemical conditions) or stochastic (e.g., adding seeds of adaptive species).

Environmental Microbiology ReportsVol. 18(5)
Chinese Academy of Forestry (CN), Chinese Academy of Agricultural Sciences (CN), Institute of Environment and Sustainable Development in Agriculture (CN), Experimental Center of Forestry in North China (CN), China Agricultural University (CN), Jiangxi Agricultural University (CN)
Life in Land
Openalex Percentile: Top 11%
Microbial Community Ecology and Physiology
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