Environment differentially affects the functional and phylogenetic structures of plant communities in a dry evergreen Afromontane tropical forest

Testing how local environmental conditions influence plant community assembly is important to understand the underlying mechanisms that promote and/or maintain biodiversity. Functional traits are used to find the broad spectrum of resource use strategies that plants use to respond to environmental variation. The patterns and drivers of plant community assembly through the lens of traits and phylogeny, however, remain to be studied in a uniquely biodiversity rich but poorly known fragmented dry Afromontane forest of Ethiopia. Here, we combined trait and community phylogenetic data from thirty sampling plots of 20 × 20 m size to determine the functional and phylogenetic structures and their drivers in a fragmented, human-dominated dry evergreen Afromontane forest. We found phylogenetic and functional clustering of plants in which the effect of environment was found to be trait specific. A weak phylogenetic signal for traits was detected suggesting that species resource use strategies may ..., , , # Environment differentially affects the functional and phylogenetic structures of plant communities in a dry evergreen Afromontane tropical forest

Data\_Mengesha

## Description of the data and file structure

These datasets were collected in the fragmented forest landscape of Central Gondar Zone of Amhara region in Northwest Ethiopia.
Datasets included:
1\. Functional traits' data

* four (4) traits were measured for each species: Leaf area (LA, cm2), Specific leaf area (SLA, cm2 g-1), Leaf dry matter content (LDMC,g g-1) and Leaf thickness (LT, mm)
* The data structure is a species X trait data matrix

2\. Species abundance data

* The abundance of each species in each plot is given.
* The data structure is a plot X species data matrix

3\. Environmental data

* environmental data for each plot was measured: Total Nitrogen (TN, g kg-1), Total Phosphorus (TP, g kg-1), Total Potassium (TK, g kg-1), pH, Soil moisture (%), Elevation (m) and Slope (degree).
* The data structure a plot X ...

探究局域环境条件如何影响植物群落构建，对于阐明推动并/或维持生物多样性的潜在机制具有重要意义。功能性状（Functional traits）被用于揭示植物应对环境变化所采用的多样化资源利用策略。然而，借助性状与系统发育（phylogeny）的视角探究植物群落构建的模式及其驱动因子，在埃塞俄比亚这片物种丰富度极高但研究程度极低的破碎化干旱非洲山地森林中仍有待开展。

本研究采集了埃塞俄比亚一片受人类活动主导的破碎化干旱常绿非洲山地森林中30个20 m × 20 m样地的性状与群落系统发育数据，旨在解析该森林的功能与系统发育结构及其驱动因子。研究发现植物呈现系统发育与功能聚类特征，且环境的影响具有性状特异性；同时检测到性状的系统发育信号较弱，表明物种的资源利用策略可能……

# 环境对干旱常绿非洲山地热带森林植物群落功能与系统发育结构的差异化影响
Data_Mengesha

## 数据与文件结构说明
本数据集采集自埃塞俄比亚西北部阿姆哈拉州贡达尔中部区域的破碎化森林景观。

数据集包含以下内容：
1. 功能性状数据（Functional traits data）
* 针对每个物种测定了4项性状：叶面积（Leaf area, LA，cm²）、比叶面积（Specific leaf area, SLA，cm²·g⁻¹）、叶干物质含量（Leaf dry matter content, LDMC，g·g⁻¹）以及叶厚度（Leaf thickness, LT，mm）
* 数据结构为物种×性状数据矩阵
2. 物种多度数据（Species abundance data）
* 给出了每个样地内各物种的多度信息
* 数据结构为样地×物种数据矩阵
3. 环境因子数据（Environmental data）
* 测定了每个样地的环境因子数据：全氮（Total Nitrogen, TN，g·kg⁻¹）、全磷（Total Phosphorus, TP，g·kg⁻¹）、全钾（Total Potassium, TK，g·kg⁻¹）、pH值、土壤含水量（%）、海拔（m）以及坡度（°）
* 数据结构为样地×……