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Both the selection and complementarity effects underpin the effect of structural diversity on aboveground biomass in tropical forests

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DataONE2024-12-17 更新2025-04-26 收录
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Aim: Despite mounting empirical evidence regarding the positive effects of forest structural diversity (STRDIV) on forest functioning, the underlying biotic mechanisms and controlling abiotic factors remain poorly understood. This study provides the first assessment of the interactive effects of STRDIV and diversity in species and functional traits on aboveground biomass (AGB) in natural forests in West and East Africa. Location: West and East Africa Time period: 2014-2020 Major taxa studied: Woody plants Methods: Using data from 276 plots and 7993 trees of 207 species distributed across various types of natural forests and major climatic zones of Africa, linear mixed-effects and structural equation models, we have evaluated how alternative causal relationships between STRDIV and taxonomic and functional diversity attributes influence AGB, while accounting for the effects of environmental covariates. We also assessed the consistency of these relationships across floristically and enviro..., The dataset results from forest inventories conducted in 276 plots, distributed across four West African countries (Benin, Burkina Faso, Togo, and Ghana) and one East African country (Ethiopia) from 5°40ʹ W to 48°23 ʹE longitude and 3°18ʹ N to 15°03ʹ N latitude. The plots spanned various climate types of the region, including arid, semi-arid, dry sub-humid, and humid, and covered a broad range of topographic and edaphic gradients. The forest inventories were conducted between 2014 and 2020. The plot size was on average 0.1 ha and ranged from 0.02  to 0.25 ha. Within each plot, several key dendrometric parameters including height and diameter at breast height (DBH) were systematically recorded for all living individual trees that met specific criteria. Environmental factors were also either recorded in the field or downloaded from publicly available databses., , # Both the selection and complementarity effects underpin the effect of structural diversity on aboveground biomass in tropical forests [https://doi.org/10.5061/dryad.dfn2z3582](https://doi.org/10.5061/dryad.dfn2z3582) ## Description of the data and file structure The zipped file in Dryad contains the data necessary to reproduce the statistical analyses published in the manuscript \"Both the selection and complementarity effects underpin the effect of structural diversity on aboveground biomass in tropical forests\" in Global Ecology and Biogeography by Noulèkoun et al. The file includes 3 files, whose content is described below. 1- Main database \"dataall\_Noulekoun\_GEB\" This is .csv document that contains all the variables used in the statistical analysis are displayed along with their values per plot. The names of the variables are abbreviated in this document and their description is provided in the second file entitled \"Description\_abbreviations\_Noulekoun\" (see also Table bel...

研究目的:尽管已有越来越多的实证研究证实森林结构多样性(STRDIV)对森林功能具有积极影响,但其背后的生物机制以及调控性非生物因子仍有待深入阐明。本研究首次评估了非洲西部与东部天然林中,森林结构多样性、物种多样性与功能性状多样性对地上生物量(AGB)的交互作用效应。 研究区域:非洲西部与东部 时间跨度:2014年—2020年 主要研究类群:木本植物 方法:本研究依托分布于非洲各类天然林与主要气候带的276个样地、共7993株隶属于207个物种的树木数据,采用线性混合效应模型与结构方程模型,在控制环境协变量影响的前提下,解析森林结构多样性与分类、功能多样性属性间的多种因果关系如何作用于地上生物量,并评估了这些关系在植物区系与环境……维度上的一致性。 本数据集源自2014至2020年间开展的森林清查工作,样地分布于4个西非国家(贝宁、布基纳法索、多哥与加纳)及1个东非国家(埃塞俄比亚),经度范围为5°40′W至48°23′E,纬度范围为3°18′N至15°03′N。样地覆盖了该区域的多种气候类型,包括干旱、半干旱、干湿润与湿润气候,并涵盖了广泛的地形与土壤梯度。森林清查于2014至2020年间完成,样地平均面积为0.1公顷,范围介于0.02公顷至0.25公顷之间。每个样地内,系统记录了所有符合特定标准的存活个体树木的多项关键测树参数,包括树高与胸径(DBH)。环境因子一部分通过野外实地测定,另一部分则从公开数据库下载获取。 # 选留效应与互补效应共同支撑热带森林结构多样性对地上生物量的调控作用 [https://doi.org/10.5061/dryad.dfn2z3582](https://doi.org/10.5061/dryad.dfn2z3582) ## 数据与文件结构说明 Dryad平台上的压缩包包含了复现论文《Both the selection and complementarity effects underpin the effect of structural diversity on aboveground biomass in tropical forests》(发表于*Global Ecology and Biogeography*,作者为Noulèkoun等人)中统计分析所需的全部数据。 该压缩包包含3个文件,具体内容说明如下: 1. 主数据库「dataall_Noulekoun_GEB」 该文件为CSV格式文档,包含了统计分析所用的全部变量及各变量对应样地的取值。本文件中变量采用缩写形式,变量的详细说明请参见第二个文件「Description_abbreviations_Noulekoun」(详见下表……)
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2024-12-21
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