2018
DOI: 10.5846/stxb201710241900
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Perspectives and challenges in plant traits: From organs to communities

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Cited by 4 publications
(5 citation statements)
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“…Therefore, it is necessary to regard plants composed of multiple organs and use multidimensional methods to evaluate plant adaptation and response across lineages, life forms, and environments (N. P. He et al., 2020). Moreover, by studying the variation of plant functional traits and their response to environmental factors from organs to the community level, we can better explore the relationships between the structure and function of natural ecosystems at the regional scale and their adaptation to global changes (N. P. He, Zhang, Xu, & Yu, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, it is necessary to regard plants composed of multiple organs and use multidimensional methods to evaluate plant adaptation and response across lineages, life forms, and environments (N. P. He et al., 2020). Moreover, by studying the variation of plant functional traits and their response to environmental factors from organs to the community level, we can better explore the relationships between the structure and function of natural ecosystems at the regional scale and their adaptation to global changes (N. P. He, Zhang, Xu, & Yu, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…Exploring the trait-trait correlations using PTN can improve our understanding of physiological and ecological rules regulating trait interactions among organs and plant growth under environmental stress (He et al, 2018;Kleyer et al, 2019;Rao et al, 2022). A network based on a dataset of 23 traits from 2530 individuals of 126 plant species from 381 plots in Northwest Europe has revealed that biomass allocation traits and stem specific length are hub traits in herbaceous perennial plants (Kleyer et al, 2019).…”
Section: Interannual Differences In Plant Traits and The Influencing ...mentioning
confidence: 99%
“…Twig traits can be comprehensively characterized by multiple indicators, such as morphological or structural (e.g., leaf size, specific leaf area, and biomass allocation), physiological (e.g., photosynthesis, respiration, and enzyme activity), and chemical (e.g., element and compound contents) indicators, which are the integrative reflection of plant growth response and environmental adaptation (Yang et al, 2010;Liu and Ma, 2015;Li et al, 2017). The trade-offs between stem and leaf traits and among different functional traits are the results of plants' adaptation to environmental heterogeneity (He et al, 2018;He et al, 2019;. For instance, leaves usually have higher nutrient content than stems to support their high physiological activity (He et al, 2019;Luo et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the underlying mechanism explaining complex structure and interspeci c relationships in communities that were in uenced by the temporal occurrence and spatial distribution of species and their functional characteristics remains an open question (Li, Wu & Xiao 2021). Attempts to better understand functional traits and their impacts on community assemblies include examinations of their distributions in position, peak, range, and variation (Cornwell & Ackerly 2009;He et al 2018;He et al 2020;Liu et al 2020), analyses of the convergence and divergence between traits among species within communities, demonstrations of species coexistence via the sharing and allocation of resources (Peng & Zhou 2014;Fu et al 2015), assessments of the relative impacts either environmental ltering or interspeci c competition (Perronne R 2017), and descriptions of how community assembly shapes the distribution of diversity (Jaillard et al 2014; Knelman & Nemergut 2014). In order to better understand the roles of environmental ltering and interspeci c competition in community assembly, comparisons have also been made between observed data and null models (i.e., assuming all species have the same function and coexist randomly) for range and variation of traits (Kraft NJB 2008).…”
Section: Introductionmentioning
confidence: 99%