MontObEO-Montesinho biodiversity observatory: An Earth Observation tool for biodiversity conservation

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2023

Autores

Garcia, N (Autor) Outra; Alírio, J (Autor) Outra; Silva, D (Autor) Outra; Campos, C (Autor) Outra; Lia Duarte (Autor) FCUP; Arenas Castro, S (Autor) Outra; Pôças, I (Autor) Outra; Sillero, N (Autor) Outra; Ana Teodoro (Autor) FCUP

Ata de Conferência Internacional

Título: Proceedings of SPIE - The International Society for Optical Engineering

Earth Resources and Environmental Remote Sensing/GIS Applications XIV 2023

Amsterdam, 2023

Indexação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00Z-J7R

DOI: 10.1117/12.2678524

Abstract (EN): The Montesinho Natural Park (MNP) is one of the largest protected areas in Portugal, covering an area of 74 225 hectares in the extreme northeast of the country. MNP hosts a wide range of endemic and highly threatened species and priority habitats such as oak forests, meadows, grasslands, and bushlands. However, human activities continue to pose a significant challenge to conservation. To address this challenge, the MontObEO project aims to implement an earlywarning system to identify changes in habitat suitability and species extinction risk over time and space in the MNP, using a time series of satellite remote sensing data and ecological niche models (SRS-ENMs). Herein, we compiled biodiversity data for five major taxonomic groups (flora-vascular plants, amphibians, reptiles, birds, and mammals) and yearly remote sensing products from MODIS sensors between 2000 and 2021. We conducted all the satellite data processing and modelling procedures in Google Earth Engine (GEE) platform using the MaxEnt algorithm. We measured trends in species habitat suitability with the Mann-Kendall test, a non-parametric test for monotonic trend detection in a time series. Those species with stronger decreasing trends will have higher extinction risks. Additionally, we developed a ready-To-use web geographic information system (Web GIS) to map individual species distributions with a high spatial resolution (1 km). This project provides tools for biodiversity conservation in the MNP to help in the decision-making process for conservation planning and could serve as a model for other national or international protected areas. © 2023 SPIE. All rights reserved.

Idioma: Inglês

Tipo (Avaliação Docente): Científica