Supplementary material: Mammal diversity responses to anthropic, environmental, and seasonal changes within Caatinga seasonal dry forest landscapes
Data files
Apr 22, 2024 version files 295.47 KB
-
README.md
-
SM1_methods_description_2024_04_19d.docx
-
SM2_raw_data_statistical_results_2024_04_19d.xlsx
Abstract
Caatinga’s conservation and biodiversity are threatened due to the intensification of anthropic activities and climate change. The mammals have different responses to seasonal and anthropic changes, however particularly in Caatinga, these effects are still poorly understood. We assessed the influence of anthropic (distance from urban areas and wind farms), environmental (distance from water), and seasonal (Normalized Difference Vegetation Index – NDVI and land surface temperature - LST) variables on the number of records and richness of medium and large-sized mammals in Brazilian Caatinga. We used camera traps in 2016/2017 and 2018/2019, estimated the variation (cv) of NDVI and LST, and generated Euclidean distance maps to anthropic and environmental variables at 250, 500, and 1000 m spatial scales. We performed Generalized Linear Models, used the Akaike information criterion, and calculated model averaging to assess the strength and direction of effect and the uncertainties of the winner models, respectively. The distance from wind farms and maximum LST had a noticeable effect on the number of records and total richness. The distance from wind farms had a negative effect on the records of Dicotyles tajacu and a positive effect on the records of Leopardus pardalis and richness. The maximum LST had a negative effect on the records of Leopardus pardalis and a positive effect on the records of Puma concolor and Cerdocyon thous. Our results emphasize that an unsustainable expansion of wind farms is likely to compromise mammal diversity. We found an opposite pattern for some species regarding LST. However, it is important to highlight that the conservation of vegetation areas on the top of mountains and springs, and the installation of artificial water sources are important strategies to mitigate the impacts of high temperatures on mammals' biodiversity in Caatinga.
README: Supplementary material - Mammal diversity responses to anthropic, environmental, and seasonal changes within Caatinga seasonal dry forest landscapes
https://doi.org/10.5061/dryad.hhmgqnkq6
Main data used to perform the analyses of this study and additional information of methods.
Description of the data and file structure
The file "SM1_methods_description_2024_04_19d.docx" has additional information about the Material and methods topic.
The file "SM2_raw_data_statistical_results_2024_04_19d.xls" has the set of raw data used to perform the statistical analyses and the results of some additional statistical analyses. Below, we described each spreadsheet:
Table 1 - season per site: this table has the description of camera trap data and efforts of the study
Table 2 - Data: this table has all the data used to perform the manuscript analyses, including explanatory and
response variables at different spatial scales
Table 3 - Multifit: this table has the results of multi scale analyses
Table 4 - VIF: this table has the results of multicollinearity analyses between explanatory variables
Table 5 - Moran: this table has the results of spatial autocorrelation analyses
Table 6 - species_each_year: this table has the species name that were recorded in each period
Table 7 - AIC_results: this table has the results of models selection, including winner and loser models. We also included the results of model averaging analyses and variable weights.
Table 8 - Habitat_amount: this table has the percentage of natural vegetation (habitat amount) areas calculated at multi scale to each landscape
We assessed a different number of landscapes per period. So, in the spreadsheets "Table 2 - Data" and "Table 8 - Habitat_amount" the cells with "No landscape" refers to absence of one landscape in the period 2016/2017. Any sheet with N/A correspond to no effect or absence of data.