Data from: Landscape heterogeneity can partially offset negative effects of habitat loss on mammalian biodiversity in agroecosystems

# Dataset of the article Landscape heterogeneity can partially offset negative effects of habitat loss on mammalian biodiversity in agroecosystems [https://doi.org/10.5061/dryad.f7m0cfz38](https://doi.org/10.5061/dryad.f7m0cfz38) Mammal's species detection in 55 landscapes in the Cerrado Biome in Brazil. ## Description of the data and file structure The dataset has 55 lines, and each sampled landscape (200 ha) is in one line. The columns represent each mammal's species detection (0 or 1) and the native and invasive species richness (number of native or invasive species detected per landscape). The scientific names of the species are indicated in the column names. Three species are invasive: Sus scrofa, Canis lupus familiaris, and Lepus europaeus. The data was collected using camera traps and transects (3 camera stations and 9 transects per landscape). ## Code/Software Analyzes were performed in R environment with 'MuMIn' package (Barton, 2022) and 'psych' package (Revelle, 2022).

# 论文《农业生态系统中景观异质性可部分抵消生境丧失对哺乳动物生物多样性的负面影响》数据集 [https://doi.org/10.5061/dryad.f7m0cfz38]
巴西塞拉多生物群系（Cerrado Biome）内55个景观的哺乳动物物种检出数据。
## 数据与文件结构
本数据集共包含55行，每个采样景观（面积200公顷）单独占据一行。列字段涵盖各哺乳动物物种的检出状态（0代表未检出，1代表检出），以及本土与入侵物种的丰富度（即各景观中检出的本土/入侵物种总数量）。列名即为对应物种的学名。其中3个物种为入侵物种：野猪（Sus scrofa）、家犬（Canis lupus familiaris）、欧洲野兔（Lepus europaeus）。本数据通过红外相机（camera traps）与样线法采集，每个景观设置3个相机监测点与9条样线。
## 代码与软件
本研究的数据分析基于R语言环境完成，使用了'MuMIn'包（Barton, 2022）与'psych'包（Revelle, 2022）。