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Jaguars and wild pigs indicate protected area connectivity in the south-east Atlantic Forest (Brazil)

Published online by Cambridge University Press:  30 January 2023

Maitê Packer Silva*
Affiliation:
Institute of Science and Technology, Sao Paulo State University – Unesp, São José dos Campos, 12247-004, São Paulo, Brazil
Klécia Gili Massi
Affiliation:
Institute of Science and Technology, Sao Paulo State University – Unesp, São José dos Campos, 12247-004, São Paulo, Brazil
Rogério Galante Negri
Affiliation:
Institute of Science and Technology, Sao Paulo State University – Unesp, São José dos Campos, 12247-004, São Paulo, Brazil
Felipe Pedrosa
Affiliation:
Mão na Mata – Manejo e Soluções Ambientais, São Paulo, 05350-000, Brazil
*
Author for correspondence: Maitê Packer Silva, Email: maitepacker@gmail.com
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Summary

The Atlantic Forest of South America has undergone major changes due to urban and agriculture/pasture extension, resulting in a highly fragmented biome. Protected areas, created to ensure the biodiversity conservation of this biome, need to be connected for long-term landscape integrity. We aimed to quantify connectivity among protected areas in the south-east Atlantic Forest using two species with different environmental requirements: a threatened species with high requirements, the jaguar Panthera onca; and an exotic species with low requirements, the wild pig Sus scrofa. Our methods included expert opinion, and Circuitscape and least-cost-path analyses. We hypothesized that the patchy and altered landscape would not support the connectivity of jaguars but would allow wild pigs to transit. In fact, we found connectivity for both species, but there were more connectivity opportunities for wild pigs. The connection between Serra do Mar (and Serra do Mar state park) and Serra da Mantiqueira (Mantiqueira Mosaic) is narrow but possible to traverse through some protected areas of sustainable use and private reserves, highlighting the importance of these to structural landscape connectivity for the studied species in this region. The same connectivity that allows the transit of the native jaguar with high environmental requirements also allows the invasive wild pig to move through the landscape, which is worrisome.

Information

Type
Research Paper
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Foundation for Environmental Conservation
Figure 0

Fig. 1. Land-use and land-cover (LULC) classes of the Paraíba do Sul River Valley, São Paulo State, Brazil. Anthropogenic cover includes pasture, agriculture and urban infrastructure. PA = protected area.

Figure 1

Table 1. Protected areas in the south-east Atlantic Forest, Paraíba do Sul River Valley and its municipalities, their size, management, conservation category and creation decrees, São Paulo State, Brazil. Numbers indicate focal nodes.

Figure 2

Fig. 2. Method flowchart. LCP = least cost path; LULC = land use and land cover; PA = protected area.

Figure 3

Fig. 3. Average permeability values of the different land uses and land covers (LULCs) for jaguars (Panthera onca, circles) and wild pigs (Sus scrofa, triangles) and the respective standard deviation values based on expert opinion.

Figure 4

Fig. 4. Landscape connectivity for jaguars (Panthera onca, left) and wild pigs (Sus scrofa, right) showing connectivity paths among protected areas (PA) in the Paraíba do Sul River Valley. The darker shades correspond to areas most permeable to animal movement and numbers correspond to index values in Table 1. The isolation-by-resistance analyses was performed using the software Circuitscape 4.0, where the land-use and land-cover maps and resistance values (given by the experts) were the inputs to generate current maps of the potential paths for jaguars and wild pigs (designated under ‘Scaled cum. current’ in the maps).

Figure 5

Fig. 5. Least cost path for jaguars (Panthera onca, left) and wild pigs (Sus scrofa, right) among protected areas (PAs) in the Paraíba do Sul River Valley. The fourth quartile (solid black line) represents the most used corridors and the numbers correspond to the index values in Table 1.