文献类型： 外文期刊

作者： Wang, Lin ¹ ; Wang, Ting ⁴ ; Zhang, Xiao-Wei ⁵ ; Lin, Xiao-Fen ⁶ ; Li, Jia ² ; Liao, Jin-Bao ⁷ ; Wang, Rui-Wu ⁹ ;

作者机构： 1.Jiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Nanchang, Peoples R China

2.Jiangxi Normal Univ, Sch Geog & Environm, Nanchang, Peoples R China

3.Jiangxi Normal Univ, Jiangxi Key Lab Intelligent Monitoring & Integrate, Nanchang, Peoples R China

4.Hunan Acad Agr Sci, Hunan Inst Agr Econ & Informat, Changsha, Hunan, Peoples R China

5.Shaanxi Normal Univ, Coll Life Sci, Xian, Peoples R China

6.Northwestern Polytech Univ, Sch Math & Stat, Xian, Peoples R China

7.Yunnan Univ, Sch Ecol & Environm Sci, Yunnan Key Lab Plant Reprod Adaptat & Evolutionary, Minist Educ,Key Lab Transboundary Ecosecur Southwe, Kunming, Peoples R China

8.Yunnan Univ, Inst Biodivers, Ctr Invas Biol, Sch Ecol & Environm Sci, Kunming, Peoples R China

9.Zhejiang Univ, Coll Life Sci, Hangzhou, Peoples R China

期刊名称：PLOS COMPUTATIONAL BIOLOGY （ 影响因子：3.6； 五年影响因子：4.3 ）

ISSN： 1553-734X

年卷期： 2025 年 21 卷 7 期

页码：

收录情况： SCI

摘要： Early ecological theory predicts that complex ecological networks are unstable and are unlikely to persist, despite many empirical studies of such complexity in nature. This inconsistency has fascinated ecologists for decades. To resolve the complexity-stability debate, coupling population dynamics and trait dynamics is considered to be an important way to understand the long-term stability of ecological community assemblages. However, we still do not know how eco-evolutionary feedbacks affect the relationship between complexity and stability in ecologically realistic networks with both antagonistic and mutualistic interactions. Here, we explored an adaptive network model to evaluate how the evolution of foraging preference to determine the relationship between network complexity (i.e., connectance) and stability (i.e., community persistence at steady state) in mutualist-exploiter-predator communities (MEST). Our theoretical results showed: (i) adaptive foraging of the top predator contributes to the stability of mutualism and intermediate intensity of foraging adaptations can lead to chaotic dynamics in a four-species MEST community; (ii) the complexity-stability relationship may show positive monotonic, negative monotonic, peaked and double-peaked patterns in general MEST communities, while the double-peaked pattern is only obtained when both the adaptation intensity and interspecific competition are high. Furthermore, model predictions may be consistent with both the negative monotonic pattern revealed in freshwater communities and the peaked pattern revealed in marine communities. Finally, we infer that foraging adaptations of the top predator may alter positive or/and negative feedback loops (trait-mediated indirect effects) to affect the stability of general MEST communities. Our adaptive network framework may provide an effective way to address the complexity-stability debate in real ecosystems.