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Modelamiento Ambiental para Evaluar la Distribución Espacial Actual y Potencial de Inia Geoffrensis, Bajo Escenarios del Cambio Climático

Translated title of the contribution: Environmental Modeling to Evaluate the Current and Potential Spatial Distribution of Inia Geoffrensis under Climate Change Scenarios
  • Juan Carlos Caicedo Ballesteros
  • , Milton Abdon Obiedo Jimenez
  • , Veronica Estefania Montenegro Benalcazar
  • , Fernando Alexis Gonzalez Soto

Research output: Contribution to journalArticle

Abstract

Climate change is one of the main factors affecting the distribution and viability of numerous species worldwide. Inia geoffrensis, the Amazon river dolphin, is a key species and a critical bioindicator of river ecosystems, whose distribution could be severely impacted by climate change. In this study, ecological niche modeling was applied using the MaxEnt algorithm to evaluate the current and future spatial distribution of Inia geoffrensis in Sucumbíos Province, Ecuador. A total of 65 occurrence records and seven bioclimatic variables, both current and projected for the year 2070, were used under two climate change scenarios: SSP 245 (moderate) and SSP 585 (extreme).The results indicate that the suitable habitat for Inia geoffrensis in the region, currently estimated at 2110 km², will decrease by 72.7% under the SSP 245 scenario and completely disappear under the SSP 585 scenario. Within the political limits of Sucumbíos Province, the current high suitability area is 1780.64 km², which will decrease by 69.67% under the SSP 245 scenario. The modeling revealed that the minimum temperature of the coldest month and temperature seasonality are the primary factors determining the species' distribution. These projections highlight the vulnerability of the pink river dolphin to climate change and the urgent need to implement conservation strategies.
Translated title of the contributionEnvironmental Modeling to Evaluate the Current and Potential Spatial Distribution of Inia Geoffrensis under Climate Change Scenarios
Original languageSpanish (Ecuador)
Pages (from-to)3239-3257
Number of pages19
JournalCiencia Latina Revista Científica Multidisciplina
Volume9
Issue number9
DOIs
StatePublished - 21 Apr 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Climate change
  • Inia geoffrensis
  • Maxent
  • Modeling

CACES Knowledge Areas

  • 125A Environment

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