植物功能性状网络:概念体系发展与应用进展OA北大核心CHSSCDCSTPCD
Plant functional trait networks:development of conceptual framework and advances in applications
自然界中,任何植物都具有多种多样的功能性状,这些功能性状协同或互补地帮助植物适应外界复杂多变的环境.因此,多种功能性状间的复杂关系变化规律,很大程度上可以体现植物生存、生长和繁殖等方面的适应策略及其对环境的响应机制.目前,大多数研究局限于单一或特定几个性状间的简单关系,多维度思维及其量化方法在植物功能性状研究中还非常罕见,制约了人们对植物多维度适应机制的深入认知.传统的分析方法,如相关分析、主成分分析、通径分析、结构方程模型等,都难以阐明多种功能性状间的复杂关系.针对该科学难题,科研人员创新性地引入多维度网络分析理念、发展了"植物功能性状网络"的理论体系(Plant trait networks,PTNs),拓展了从功能性状网络的角度揭示植物适应策略的新方法.植物功能性状网络被定义为由多种功能性状间相互关系构成的多维度网络,它采用其自身的整体特征或节点特征来表征植物性状之间的复杂关系、以及植物个体、功能群、群落对环境变化或干扰等的响应与适应途径.在此基础上,科研人员发展了 PTNs的5个网络整体参数和4个核心节点参数,并定义了其生理生态意义.植物功能性状网络分析具有多维度捕获和可视化植物多性状间关系的潜力,为揭示植物对环境或资源变化响应与适应策略提供了全新的视角.本文在介绍PTNs的概念、理论、参数和方法的基础上,结合中国东部南北森林样带数据和全球叶片功能性状数据等,从多个角度阐述了 PTNs的科学性与适应性.在深入解读先前植物功能性状网络概念体系、理论意义和潜在挑战的基础上,结合最新应用进展进行了补充,希望通过广泛讨论,完善植物功能性状网络概念体系,为探究植物不同尺度的多维度适应机制、及其对全球变化的响应等问题提供新的解决方案,切实推动植物功能性状领域的发展.
Each plant exhibits a diverse array of functional traits,collaboratively aiding adaptation to the complex and ever-changing external environment.The intricate interplay among these varied functional traits profoundly mirrors the adaptive strategies of plants,encompassing survival,growth,and reproduction,along with their mechanisms for responding to environmental changes.Currently,the majority of studies are limited to examining the variation of individual traits,relationships between pairs of traits,or interrelations among specific sets of traits.Multidimensional thinking and its quantitative methods remain scarce in research on plant functional traits,thereby hindering a comprehensive understanding of the multifaceted adaptive mechanisms of plants.Traditional analytical approaches,including correlation analysis,principal component analysis(PCA),path analysis,and structural equation modeling(SEM),are employed to elucidate the intricate relationships among various functional traits.To address this scientific challenge,researchers indicatively introduced the concept of multidimensional network analysis,leading to the development of the theoretical framework known as"Plant Trait Networks"(PTNs).PTNs are defined as multidimensional networks composed of interrelationships among various functional traits.They characterize the complex relationships among plant functional traits through the overall features or node characteristics of the network,thereby revealing the responses and adaptation pathways of individuals,functional groups,and communities to environmental changes or disturbances.Building upon this foundation,researchers have identified five overarching network parameters and four node parameters for PTNs,delineating their physiological and ecological significance.The overall network parameters are employed to reflect the connectivity and complexity of the network,while the node parameters of the PTNs are utilized to identify hub traits within the network.Plant functional trait network analysis has the potential to capture and visualize relationships among multiple plant functional traits in a multidimensional manner,offering a novel perspective for understanding how plants respond to environmental or resource changes.This paper introduces the concepts,theories,parameters,and methodologies of PTNs,integrating data from forest transects in the eastern region of China and global leaf functional trait datasets.It elaborates on the scientific and adaptive aspects of PTNs from various perspectives.Through a thorough interpretation of the conceptual framework,theoretical significance,and potential challenges in plant functional trait networks,coupled with integrating the latest advancements,this paper aims to refine the conceptual underpinnings of plant functional trait networks through extensive discourse.Ultimately,the objective is to provide innovative solutions for investigating plants'multidimensional adaptive mechanisms at different scales and their responses to global change,thereby advancing the field of plant functional traits.
李颖;何念鹏;刘聪聪
北京林业大学草业与草原学院,北京 100083东北林业大学森林生态系统可持续经营教育部重点实验室,哈尔滨 150040中央民族大学生命与环境科学学院,北京 100081
植物功能性状网络功能性状复杂网络适应多维度
plant trait networksfunctional traitscomplex networksadaptationmultidimensionality
《生态学报》 2024 (018)
7944-7961 / 18
国家自然科学基金项目(32201260,42141004,32201311);北京林业大学中央高校基本科研业务费专项资金项目(BLX202271)
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