Evidence map›Paper›PMID 41706135›Full record

ArticleEnvironmental management2026

Time-Series Niche Modelling Reveals Declining Tendencies of Habitat Suitability and Ecological Functions in a Mountainous Protected Area.

Inês Freitas, João Alírio, Nuno Garcia, João C Campos, Salvador Arenas-Castro, Isabel Pôças, Lia Duarte, Ana C Teodoro, Neftalí Sillero

Abstract read
In one paragraph

Article in Environmental management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Inês FreitasFaculty of Sciences, CICGE-Centro de Investigação em Ciências GeoEspaciais, University of Porto, Vila Nova de Gaia, Portugal. ifinesfreitas92@gmail.com.
João AlírioDepartment of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, Porto, Portugal.
Nuno GarciaFaculty of Sciences, CICGE-Centro de Investigação em Ciências GeoEspaciais, University of Porto, Vila Nova de Gaia, Portugal.
João C CamposCentro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO), InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal.
Salvador Arenas-CastroÁrea de Ecología, Departamento de Botánica, Ecología y Fisiología Vegetal, Facultad de Ciencias, Centro Andaluz de Investigación de Zoonosis y Enfermedades Emergentes CAIZEM, Universidad de Córdoba, Córdoba, Campus de Rabanales, Spain.
Isabel PôçasCoLAB ForestWISE-Collaborative Laboratory for Integrated Forest & Fire Management, Quinta de Prados, Vila Real, Portugal.
Lia DuarteDepartment of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, Porto, Portugal.
Ana C TeodoroDepartment of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, Porto, Portugal.
Neftalí SilleroFaculty of Sciences, CICGE-Centro de Investigação em Ciências GeoEspaciais, University of Porto, Vila Nova de Gaia, Portugal. neftali.pablos@fc.up.pt.

Funding

Fundação para a Ciência e a Tecnologia MTS/BRB/0091/2020Fundação para a Ciência e a Tecnologia UIDB/04683Fundação para a Ciência e a Tecnologia UIDP/04683
6 · The paper itself

Abstract

Monitoring biodiversity in protected areas is essential to mitigate biodiversity loss and evaluate the effectiveness of conservation policies. Integrating satellite remote sensing technologies, ecological niche models, and time-series analyses of biodiversity trends offers a fast and robust approach for assessing habitat suitability changes and species vulnerability over time. In this study, we implemented a framework combining these tools to monitor biodiversity in the Montesinho/Nogueira Special Conservation Area (Northeast Portugal). Using the MaxEnt algorithm, we generated ecological niche models for 342 species based on a time series (2001-2023) of remote sensing data from the Moderate-Resolution Imaging Spectroradiometer (MODIS) sensor. We analysed habitat suitability trends with the Mann-Kendall test to detect changes in habitat quality, as a metric of species vulnerability for individual species, five major taxonomic groups (vascular flora, amphibians, reptiles, birds, and mammals), functional groups (e.g. climate affinity, habitat type, diet, activity, reproduction), and conservation status (regional and European levels). Our study revealed a significant decline in habitat suitability over the past two decades, impacting all taxonomic groups and ecological functions. We observed a high variability in habitat suitability trends among species and taxonomic/functional groups, highlighting the complexity of biodiversity responses to environmental changes. Functional traits such as climatic affinity, trophic level or habitat specialisation were associated with variable rates of habitat decline, with species of Atlantic affinity, species associated with croplands and wetlands, and species specialised in insectivorous diets being at higher risk. Overall, these findings emphasise the need for comprehensive biodiversity monitoring programmes and demonstrate the utility of our approach to inform evidence-based conservation strategies in protected areas globally.

Indexed as

BiodiversityConservation of Natural ResourcesEcosystemAnimalsEnvironmental MonitoringModels, TheoreticalPortugalRemote Sensing TechnologyBiodiversity monitoringEcological niche modelsHabitat suitability indexSatellite remote sensingTime series

Identifiers

PMID41706135
PMCPMC12916538

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.