Mammal Species Richness and Composition in Brazilian Sugarcane Landscapes

Southwestern Goiás, Brazil, provides the setting for a dataset on medium- and large-sized mammal responses to habitat fragmentation. The data contains records of 23 species collected via camera traps from 2013 to 2019, linked to landscape metrics like habitat area and fragment isolation. It was authored by Camilla Angélica de Lima and shared via figshare.

Use Cases

• Model species richness as a function of total native habitat area and mean Euclidean distance between fragments.
• Analyze community composition shifts based on distance to Emas National Park and inter-fragment isolation.
• Identify disturbance-tolerant species by correlating presence/absence data with sugarcane-dominated landscape metrics.
• Assess habitat connectivity effects using the recorded 23 mammal species and their distribution across remnant vegetation fragments.

Strengths

• Data explains a high proportion of variation in species richness (90.1%) and composition (85.5%).
• Collection spans 7 years (2013-2019) across multiple sampling sites.
• Landscape structure characterized within seven 2-km-radius buffers.

Limitations

• Small geographic scope focused only on southwestern Goiás, Brazil.
• Limited to 23 medium- and large-sized mammal species, excluding smaller taxa.
• Dataset is tiny (678.9 KB), indicating limited raw observational data.

Provenance

Source

figshare, authored by Camilla Angélica de Lima.

Collection Method

Species recorded via camera traps in remnant vegetation fragments; landscape metrics from visual classification of land use/cover.

Time Range

2013 to 2019.

Freshness

Data collection ended in 2019; metadata last updated in 2026.

Geography

Southwestern Goiás, Brazil, within the Cerrado ecodomain.