Effects of functional composition on plant competitors, stress-tolerators, ruderals ecological strategies in forest communities across different climatic zones

IF 2.3 2区 生物学 Q2 ECOLOGY
Xin Han, Jie Yao, Ruixue Wang, Yue Xu, Jihong Huang, Yi Ding, Runguo Zang
{"title":"Effects of functional composition on plant competitors, stress-tolerators, ruderals ecological strategies in forest communities across different climatic zones","authors":"Xin Han,&nbsp;Jie Yao,&nbsp;Ruixue Wang,&nbsp;Yue Xu,&nbsp;Jihong Huang,&nbsp;Yi Ding,&nbsp;Runguo Zang","doi":"10.1002/ece3.11580","DOIUrl":null,"url":null,"abstract":"<p>Ecological strategies identified by plant functional traits are valuable descriptors for understanding species, populations, communities, and ecosystems in response to environmental conditions. Ecological strategies, in conjunction with the functional structure of plant communities, serve as crucial tools for investigating complex relationships among the environment, vegetation, and ecosystem functions. However, it remains unclear whether the functional structure (specifically, community-weighted mean [CWM] traits) accurately reflects the optimal ecological strategies in forest communities. Here, we gathered seven functional traits for each species from four distinct forest vegetation types across four climatic zones, including leaf area (LA), specific leaf area (SLA), leaf dry matter content (LDMC), leaf phosphorus concentration (LPC), leaf nitrogen concentration (LNC), wood density (WD) and maximum plant height (H). We based on CSR (Competitors, Stress-tolerators, Ruderals) theory and “StrateFy” ordination method utilizing LA, LDMC and SLA to position them within CSR triangle and categorize them into four ecological strategy groups: Competitive, Stress-tolerant, Intermediate, and Ruderal ecological strategy groups (C-group, S-group, Int-group, and R-group). We then determined the proportion of species in each group. Subsequently, we calculated the CWM trait values for the remaining four functional traits: WD (CWM-WD), LPC (CWM-LPC), LNC (CWM-LNC) and H (CWM-H). Non-metric multidimensional scaling and hierarchical partitioning revealed that CWM-WD, CWM-LPC, CWM-LNC and CWM-H significantly influenced the ecological strategies of forest communities. The synergistic interaction of CWM-WD and CWM-LPC had the most significant impact on ecological strategies within forest communities. Notably, CWM-WD emerged as the most crucial single CWM trait for explaining variation in ecological strategies within forest communities. In conclusion, our study demonstrates that CWM traits effectively reflect optimal CSR ecological strategies in forest communities across different climatic zones, with CWM-WD serving as a preferred indicator. This can improve our critical insights into key ecological processes in forest communities using trait-based approach.</p>","PeriodicalId":11467,"journal":{"name":"Ecology and Evolution","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11371659/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecology and Evolution","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ece3.11580","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Ecological strategies identified by plant functional traits are valuable descriptors for understanding species, populations, communities, and ecosystems in response to environmental conditions. Ecological strategies, in conjunction with the functional structure of plant communities, serve as crucial tools for investigating complex relationships among the environment, vegetation, and ecosystem functions. However, it remains unclear whether the functional structure (specifically, community-weighted mean [CWM] traits) accurately reflects the optimal ecological strategies in forest communities. Here, we gathered seven functional traits for each species from four distinct forest vegetation types across four climatic zones, including leaf area (LA), specific leaf area (SLA), leaf dry matter content (LDMC), leaf phosphorus concentration (LPC), leaf nitrogen concentration (LNC), wood density (WD) and maximum plant height (H). We based on CSR (Competitors, Stress-tolerators, Ruderals) theory and “StrateFy” ordination method utilizing LA, LDMC and SLA to position them within CSR triangle and categorize them into four ecological strategy groups: Competitive, Stress-tolerant, Intermediate, and Ruderal ecological strategy groups (C-group, S-group, Int-group, and R-group). We then determined the proportion of species in each group. Subsequently, we calculated the CWM trait values for the remaining four functional traits: WD (CWM-WD), LPC (CWM-LPC), LNC (CWM-LNC) and H (CWM-H). Non-metric multidimensional scaling and hierarchical partitioning revealed that CWM-WD, CWM-LPC, CWM-LNC and CWM-H significantly influenced the ecological strategies of forest communities. The synergistic interaction of CWM-WD and CWM-LPC had the most significant impact on ecological strategies within forest communities. Notably, CWM-WD emerged as the most crucial single CWM trait for explaining variation in ecological strategies within forest communities. In conclusion, our study demonstrates that CWM traits effectively reflect optimal CSR ecological strategies in forest communities across different climatic zones, with CWM-WD serving as a preferred indicator. This can improve our critical insights into key ecological processes in forest communities using trait-based approach.

Abstract Image

功能组成对不同气候带森林群落中植物竞争者、胁迫承受者和汝南生态策略的影响。
由植物功能特征确定的生态策略是了解物种、种群、群落和生态系统对环境条件反应的重要描述。生态策略与植物群落的功能结构相结合,是研究环境、植被和生态系统功能之间复杂关系的重要工具。然而,功能结构(特别是群落加权平均性状)是否能准确反映森林群落的最佳生态策略,目前仍不清楚。在此,我们从四个气候带的四种不同森林植被类型中收集了每个物种的七个功能特征,包括叶面积(LA)、比叶面积(SLA)、叶干物质含量(LDMC)、叶磷浓度(LPC)、叶氮浓度(LNC)、木质密度(WD)和最大株高(H)。我们根据 CSR(竞争者、耐压者、贫瘠者)理论和 "StrateFy "排序法,利用 LA、LDMC 和 SLA 将它们定位在 CSR 三角区内,并将它们分为四个生态策略组:竞争生态策略组、耐压生态策略组、中间生态策略组和原生生态策略组(C-group, S-group, Int-group, and R-group)。然后,我们确定了各组中的物种比例。随后,我们计算了其余四个功能特征的 CWM 特征值:WD(CWM-WD)、LPC(CWM-LPC)、LNC(CWM-LNC)和 H(CWM-H)。非度量多维标度和层次划分表明,CWM-WD、CWM-LPC、CWM-LNC 和 CWM-H 对森林群落的生态策略有显著影响。CWM-WD 和 CWM-LPC 的协同作用对森林群落生态策略的影响最为显著。值得注意的是,CWM-WD 是解释森林群落生态策略变异最关键的单一 CWM 性状。总之,我们的研究表明,CWM性状有效地反映了不同气候带森林群落的最佳企业社会责任生态策略,而CWM-WD则是首选指标。这有助于我们利用基于性状的方法深入了解森林群落的关键生态过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.40
自引率
3.80%
发文量
1027
审稿时长
3-6 weeks
期刊介绍: Ecology and Evolution is the peer reviewed journal for rapid dissemination of research in all areas of ecology, evolution and conservation science. The journal gives priority to quality research reports, theoretical or empirical, that develop our understanding of organisms and their diversity, interactions between them, and the natural environment. Ecology and Evolution gives prompt and equal consideration to papers reporting theoretical, experimental, applied and descriptive work in terrestrial and aquatic environments. The journal will consider submissions across taxa in areas including but not limited to micro and macro ecological and evolutionary processes, characteristics of and interactions between individuals, populations, communities and the environment, physiological responses to environmental change, population genetics and phylogenetics, relatedness and kin selection, life histories, systematics and taxonomy, conservation genetics, extinction, speciation, adaption, behaviour, biodiversity, species abundance, macroecology, population and ecosystem dynamics, and conservation policy.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信