Variations of niche breadth, range sizes, and geographic exclusion with bat species richness

Aim
More species-rich communities are often assumed to contain more specialist species with narrower niches and smaller ranges. Stronger interspecific competition in species-rich communities is thought to be a key mechanism explaining these patterns. Yet, the relationship between richness and specialization has so far only been studied for a few taxa, and characterizing the effects of interspecific competition on species distributions is challenging. Here, we assess broad-scale relationships between niche breadth, range sizes, and geographic exclusion along richness gradients of bats.
Location
Eastern Mediterranean, Western Asia, and Central Asia.
Taxon
Bats (Chiroptera)
Methods
Based on a novel integrated species distribution modeling approach that combines occurrence information with expert range maps, we assessed how niche breadth and range sizes varied with species richness. In addition, by contrasting species’ potential and realized distributions in areas where species pairs overla..., , , # Variations of niche breadth, range sizes, and geographic exclusion with bat species richness

This repository contains data associated with the research article \"Variations of niche breadth, range sizes, and geographic exclusion with bat species richness\".

There are three datasets available:

**A.** Raster data of the modeled distributions for 49 bat species
**B.** Raster data of bat species richness obtained from stacking individual bat distribution maps
**C.** Tables containing species-level estimates of range size and niche breadth as well as geographic avoidance and exclusion scores for species-pairs overlapping in their potential distributions.

The occurrence data and environmental predictor data as well as code demonstrating the use of stacked generalization for integrating expert range maps into species distribution models are available via another Dryad repository for the article \"The best of two worlds: using stacked generalization for integrating expert range maps in speci...,

# 研究目的（Aim）
物种丰富度更高的群落通常被认为包含更多生态位宽度（niche breadth）更窄、分布范围大小（range sizes）更小的特化物种。人们认为，物种丰富群落中更强的种间竞争（interspecific competition）是解释这些格局的关键机制。然而迄今为止，物种丰富度与特化程度之间的关系仅在少数类群中得到研究，且阐明种间竞争对物种分布的影响颇具挑战。本研究针对蝙蝠类群，探究沿物种丰富度梯度的生态位宽度、分布范围大小与地理排斥（geographic exclusion）之间的宏观尺度关联。

## 研究区域
东地中海、西亚与中亚。

## 研究类群
蝙蝠（Chiroptera）

## 研究方法
本研究基于一种将物种出现数据（occurrence data）与专家分布范围图（expert range maps）相结合的新型集成物种分布建模（species distribution modeling）方法，评估了生态位宽度与分布范围大小随物种丰富度的变化规律。此外，通过对比物种对在潜在分布区重叠区域的潜在分布（potential distribution）与实际分布（realized distribution），本研究开展了相关分析。

# 蝙蝠物种丰富度梯度下的生态位宽度、分布范围大小与地理排斥变化
本数据集关联于研究论文《蝙蝠物种丰富度梯度下的生态位宽度、分布范围大小与地理排斥变化》（Variations of niche breadth, range sizes, and geographic exclusion with bat species richness）。

本仓库包含三类数据集：
**A.** 49种蝙蝠的模拟分布栅格数据
**B.** 通过堆叠单种蝙蝠分布地图得到的蝙蝠物种丰富度栅格数据
**C.** 包含物种级别的分布范围大小与生态位宽度估算值，以及潜在分布区重叠的物种对的地理回避与排斥得分的表格。

物种出现数据、环境预测变量数据，以及演示如何使用堆叠泛化（stacked generalization）方法将专家分布范围图集成至物种分布模型的代码，可通过另一篇关联论文的Dryad仓库获取，该论文题为《两全其美：利用堆叠泛化将专家分布范围图集成至物种分布模型》（The best of two worlds: using stacked generalization for integrating expert range maps in speci...）