Life-history strategies drive plant species richness patterns in the Atlantic Forest hotspot
收藏DataONE2026-02-24 更新2026-02-28 收录
下载链接:
https://search.dataone.org/view/sha256:7f0b93e770c5c0923a008c1563ebf2cb9141eb4a5a295fbb944e5dc2a837c340
下载链接
链接失效反馈官方服务:
资源简介:
Aim: The underlying processes driving the origin and spatial variation of species richness stand as one of the most fundamental and enigmatic questions in ecology. Here, we assess the roles of water availability, energy availability, climatic seasonality, physiological tolerance, historical climate stability, topographic heterogeneity, and the mid-domain effect in shaping spatial richness variation among various plants of the Atlantic Forest.
Location: Atlantic Forest Hotspot, South America.
Taxon: 14,037 species of vascular plants (angiosperms and gymnosperms), including trees, lianas, shrubs, subshrubs, terrestrial herbs and epiphytic herbs.
Methods: We employed stacked ecological niche modeling to estimate species richness across different plant life forms. We then applied spatial models and hierarchical partitioning to assess the role and significance of each hypothesis in explaining species diversity variation.
Results: Spatial richness variation in the Atlantic Forest results from..., , , # Data from: Life-history strategies drive plant species richness patterns in the Atlantic Forest hotspot
[https://doi.org/10.5061/dryad.jm63xsjmv](https://doi.org/10.5061/dryad.jm63xsjmv)
## Description of the data and file structure
The data contains all the information and reproducible R scripts to generate the results and figures associated with the paper. Species distributions were estimated using ecological niche modeling. Presence-absence matrices were generated by stacking individual species models. Richness maps and statistical analyses were then conducted to evaluate the drivers of plant species richness across the Atlantic Forest.
All analyses were conducted using R (version ⥠4.2).
### Files and variables
#### File: Richness_AF_Data.zip
**Description of the data and file structure:**Â
**scripts:** A folder containing reproducible R scripts required to perform the analyses and generate the figures included in the paper:
* **0 - Plots of hypothesis.R**\
Generates co...,
研究目的:物种丰富度的起源与空间变异的内在驱动过程,是生态学领域最基础且最具谜题性的核心问题之一。本研究旨在评估水分可获得性、能量可获得性、气候季节性、生理耐受性、历史气候稳定性、地形异质性以及中域效应(mid-domain effect)对大西洋森林各类植物物种丰富度空间变异的塑造作用。
研究区域:南美洲大西洋森林生物多样性热点地区(Atlantic Forest Hotspot)。
研究类群:14037种维管植物(被子植物与裸子植物),涵盖乔木、藤本、灌木、亚灌木、陆生草本以及附生草本。
研究方法:本研究采用堆叠式生态位模型(stacked ecological niche modeling)估算不同植物生活型的物种丰富度;随后运用空间模型与分层分区分析,评估各假说对物种多样性变异的解释作用与显著性。
研究结果:大西洋森林的物种丰富度空间变异源于……
# 数据来源:《Life-history strategies drive plant species richness patterns in the Atlantic Forest hotspot》
https://doi.org/10.5061/dryad.jm63xsjmv
## 数据与文件结构说明
本数据集包含支撑论文结果与图表生成的全部信息及可复现R脚本。物种分布通过生态位模型估算得到,通过堆叠单物种模型生成存在-缺失矩阵;随后绘制物种丰富度地图并开展统计分析,以解析大西洋森林植物物种丰富度的驱动因子。
所有分析均基于R语言(版本≥4.2)完成。
### 文件:Richness_AF_Data.zip
**数据与文件结构说明:**
**scripts文件夹:** 包含执行论文分析及生成图表所需的可复现R脚本:
* **0 - Plots of hypothesis.R**:生成假说相关可视化图表……
创建时间:
2026-02-24



