TY - JOUR
T1 - Modelado de la distribución de Vasconcellea candicans con fines de conservación frente a impulsores de cambio ambiental en Lima, Perú
AU - Mariela Cruz Zegarra, Rebeca
AU - Rubí Gutierrez Gutierrez, Jhade
AU - Astete, Samuel
N1 - Publisher Copyright:
© 2025 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2025
Y1 - 2025
N2 - Drivers of environmental change are putting the biodiversity of the coastal hills of Lima, Peru, at risk, with significant impacts on Vasconcellea candicans, an endemic and critically endangered tree species. This study modeled its current distribution to identify priority conservation areas and propose strategies to address threats such as urban expansion and climate change occurrence records from the Global Biodiversity Information Facility (GBIF) and environmental variables from WorldClim, The Shuttle Radar Topography Mission (SRTM) and SoilGrids were used, eliminating collinearity using the Variance Inflation Factor (VIF). Through the MaxEnt model, validated with an average AUC of 0.989, it was determined that 1.60% of the territory of Lima (556.55 km2) presents high suitability for the species. At the same time, the analysis of Landsat images (1990-2023) showed accelerated urban growth, restricting the available habitat. Urban expansion, land use change and unregulated tourism emerge as the main threats, compromising a species that plays an essential ecological role by capturing atmospheric water and sustaining biodiversity, in addition to having a high cultural and historical value. These results highlight the importance of adopting conservation measures based on scientific evidence, aimed at mitigating human and climatic pressures, ensuring the preservation of Vasconcellea candicans and the essential ecosystem services that maintain environmental balance and benefit local communities.
AB - Drivers of environmental change are putting the biodiversity of the coastal hills of Lima, Peru, at risk, with significant impacts on Vasconcellea candicans, an endemic and critically endangered tree species. This study modeled its current distribution to identify priority conservation areas and propose strategies to address threats such as urban expansion and climate change occurrence records from the Global Biodiversity Information Facility (GBIF) and environmental variables from WorldClim, The Shuttle Radar Topography Mission (SRTM) and SoilGrids were used, eliminating collinearity using the Variance Inflation Factor (VIF). Through the MaxEnt model, validated with an average AUC of 0.989, it was determined that 1.60% of the territory of Lima (556.55 km2) presents high suitability for the species. At the same time, the analysis of Landsat images (1990-2023) showed accelerated urban growth, restricting the available habitat. Urban expansion, land use change and unregulated tourism emerge as the main threats, compromising a species that plays an essential ecological role by capturing atmospheric water and sustaining biodiversity, in addition to having a high cultural and historical value. These results highlight the importance of adopting conservation measures based on scientific evidence, aimed at mitigating human and climatic pressures, ensuring the preservation of Vasconcellea candicans and the essential ecosystem services that maintain environmental balance and benefit local communities.
KW - coastal hills
KW - conservation
KW - drivers of change
KW - urban expansion
KW - Vasconcellea candicans
UR - https://www.scopus.com/pages/publications/105019293929
U2 - 10.18687/LACCEI2025.1.1.1261
DO - 10.18687/LACCEI2025.1.1.1261
M3 - Artículo de la conferencia
AN - SCOPUS:105019293929
SN - 2414-6390
JO - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
JF - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
IS - 2025
T2 - 23rd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2025
Y2 - 16 July 2025 through 18 July 2025
ER -