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<p>Global climate change is directly influenced by human actions due to land use and occupation. In this way, factors related to environments conditions, concomitant with anthropogenic impacts, determine the suitability of environments for species. We analyze the present-day and future suitability of environments for <i>Saguinus martinsi</i>, a primate species endemic to the Brazilian Amazon region. We analyzed two different greenhouse gas emission scenarios, known as <i>Shared Socioeconomic Pathways</i> (SSPs), one “optimistic” (SSP2-4.5) and the other “pessimistic” (SSP5-8.5), described by the <i>Coupled Model Intercomparison Project.</i> We created the models using climatic, edaphic, and topographic variables based on the Euclidean Distance algorithm. Our results indicate that <i>S. martinsi</i> may face severe threats in the near future as a consequence of climate change, given that no environmentally suitable areas were identified for the species in either of the future climate scenarios analyzed. We understand that it is necessary to expand searches for the presence and/or absence of the species in potentially environmentally suitable areas, in addition to consolidating measures to mitigate environmental impacts for the conditions found.</p>

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Saguinus martinsi: predicted loss of habitat suitability following global warming and insights for the conservation of the species

  • 期刊论文

  • 发表日期：

    2025年5月8日

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  • Angele Tatiane Martins-Oliveira,
  • Pedro V. Eisenlohr,
  • Gustavo Rodrigues Canale,
  • João Carlos Pires-Oliveira,
  • Leandro José-Silva,
  • Lucas Barros-Rosa,
  • Leandro Santana Moreira,
  • Fabiano Rodrigues de Melo

摘要

Global climate change is directly influenced by human actions due to land use and occupation. In this way, factors related to environments conditions, concomitant with anthropogenic impacts, determine the suitability of environments for species. We analyze the present-day and future suitability of environments for Saguinus martinsi, a primate species endemic to the Brazilian Amazon region. We analyzed two different greenhouse gas emission scenarios, known as Shared Socioeconomic Pathways (SSPs), one “optimistic” (SSP2-4.5) and the other “pessimistic” (SSP5-8.5), described by the Coupled Model Intercomparison Project. We created the models using climatic, edaphic, and topographic variables based on the Euclidean Distance algorithm. Our results indicate that S. martinsi may face severe threats in the near future as a consequence of climate change, given that no environmentally suitable areas were identified for the species in either of the future climate scenarios analyzed. We understand that it is necessary to expand searches for the presence and/or absence of the species in potentially environmentally suitable areas, in addition to consolidating measures to mitigate environmental impacts for the conditions found.