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。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Xin Han, Jie Yao, Ruixue Wang, Yue Xu, Jihong Huang, Yi Ding, Runguo Zang
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引用次数: 0

摘要

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。

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

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

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.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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