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GEE_xtract: High-quality remote sensing data preparation and extraction for mul...

Valerio, Francesco; Godinho, Sérgio; Marques, Teresa; Crispim-Mendes, Tiago; Pita, Ricardo; Silva, João Paulo

Environmental sensing via Earth Observation Satellites (EOS) is critically important for understanding Earth’ biosphere. The last decade witnessed a “Klondike Gold Rush” era for ecological research given a growing multidisciplinary interest in EOS. Presently, the combination of repositories of remotely sensed big data, with cloud infrastructures granting exceptional analytical power, may now mark the emergence ...


High-resolution species distribution modelling reveals spatio-temporal variabil...

Crispim-Mendes, Tiago; Valerio, Francesco; Marques, Teresa; Pita, Ricardo; Godinho, Sérgio

Context: Species distribution models (SDMs) may provide accurate predictions of species occurrence across space and time, being critical for effective conservation planning. Objectives: Focusing on the little bustard (Tetrax tetrax), an endangered grassland bird, we aimed to: (i) characterise the drivers of the species distribution along its key phenological phases (winter, breeding, and post-breeding); and (ii...


Multi-temporal remote sensing of inland surface waters: A fusion of sentinel-1&...

Valerio, Francesco; Godinho, Sérgio; Ferraz, Gonçalo; Pita, Ricardo; Gameiro, João; Siva, Bruno; Marques, Teresa; Siva, João Paulo

Inland freshwaters are essential in maintaining ecological balance and supporting human development. However, comprehensive water data cataloguing remains insufficient, especially for small water bodies (i.e., ponds), which are overlooked despite their ecological importance. To address this gap, remote sensing has emerged as a possible solution for understanding ecohydrological characteristics of water bodies, ...


High‑resolution species distribution modelling reveals spatio‑temporal variabil...

Crispim, Tiago; Valerio, Francesco; Marques, Ana Teresa; Pita, Ricardo; Godinho, Sérgio; Silva, João Paulo

Context Species distribution models (SDMs) may provide accurate predictions of species occurrence across space and time, being critical for effective con servation planning. Objectives Focusing on the little bustard (Tetrax tetrax), an endangered grassland bird, we aimed to: (i) characterise the drivers of the species distribution along its key phenological phases (winter, breeding, and post-breeding); and (ii)...


Relatedness reveals a strong road effect on female bat genetic connectivity

Medinas, Denis; Ribeiro, Vera; Barbosa, Soraia; Valerio, Francesco; Marques, João Tiago; Rebelo, Hugo; Paupério, Joana; Santos, Sara Maria

The effective management of species with small and fragmented populations requires an in-depth understanding of how the effects of human-induced habitat disturbance shape the structure and gene flow at fine spatial scales. Identification of putative environmental barriers that affect individual exchange among subpopulations is imperative to prevent extinction risks. Here, we investigated how landscape affects t...


Fine scale genetics reveals the subtle negative effects of roads on an endanger...

Medinas, Denis; Ribeiro, Vera; Barbosa, Soraia; Valerio, Francesco; Marques, J. Tiago; Rebelo, Hugo; Paupério, Joana; Santos, Sara; Mira, António

The effective management of species with small and fragmented populations requires an in-depth understanding of how the effects of human-induced habitat disturbance shape the structure and gene flow at fine spatial scales. Identification of putative environmental barriers that affect individual exchange among subpopulations is imperative to prevent extinction risks. Here, we investigated how landscape affects t...


GEE_xtract: High-quality remote sensing data preparation and extraction for mul...

Valerio, Francesco; Godinho, Sérgio; Marques, Ana T.; Crispim-Mendes, Tiago; Pita, Ricardo; Silva, João Paulo

Environmental sensing via Earth Observation Satellites (EOS) is critically important for understanding Earth’ biosphere. The last decade witnessed a “Klondike Gold Rush” era for ecological research given a growing multidisciplinary interest in EOS. Presently, the combination of repositories of remotely sensed big data, with cloud infrastructures granting exceptional analytical power, may now mark the emergence ...


High‑resolution species distribution modelling reveals spatio‑temporal variabil...

Crispim‑Mendes, Tiago; Valerio, Francesco; Marques, Ana Teresa; Pita, Ricardo; Godinho, Sérgio; Silva, João Paulo

Context Species distribution models (SDMs) may provide accurate predictions of species occurrence across space and time, being critical for effective con- servation planning. Objectives Focusing on the little bustard (Tetrax tetrax), an endangered grassland bird, we aimed to: (i) characterise the drivers of the species distribution along its key phenological phases (winter, breeding, and post-breeding); and (ii...


Integrating remote sensing data on habitat suitability and functional connectiv...

Valerio, Francesco; Godinho, Sergio; Salgueiro, Pedro; Medinas, Denis; Manghi, Giovanni; Mira, António; Pedroso, Nuno; Ferreira, Eduardo; Craveiro, João

Context Road impacts on biodiversity are increasing worldwide. Few attempts have been made to integrate multiple taxonomic groups into roadkill mitigation plans, while using remotely sensed habitat suitability and functional connectivity. Objectives We pinpoint high-risk road locations (road planning units) for 19 woodland species from different taxonomic groups (non-flying mammals, birds, and bats) to enhance ...


Hit the road Jane! Roads decrease the relatedness for females lesser horseshoe ...

Medinas, Denis; Marques, João Tiago; Ribeiro, Vera; Rebelo, Hugo; Barbosa, Soraia; Valerio, Francesco; Santos, Sara; Mira, António

The understanding of how human-induced habitat disturbance shapes the contemporary population structure and gene flow at a fine-spatial scale is key for adequate management of species with small and fragmented populations and with limited dispersal abilities. To date, there are few studies focusing on how barriers (e.g. roads, habitat fragmentation) might influence gene flow at fine scales. Roads are known for ...


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