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Mainstreaming remotely sensed ecosystem functioning in ecological niche models
Biodiversity is declining globally at unprecedented rates. Ecological niche models (ENMs)
are one of the most widely used toolsets to appraise global change impacts on biodiversity …
are one of the most widely used toolsets to appraise global change impacts on biodiversity …
Cross-scale monitoring of habitat suitability changes using satellite time series and ecological niche models
One of the biggest challenges to deal with the global crisis of biodiversity loss is the lack of
efficient and viable monitoring systems across scales. Unlike traditional in situ biodiversity …
efficient and viable monitoring systems across scales. Unlike traditional in situ biodiversity …
Effects of input data sources on species distribution model predictions across species with different distributional ranges
Aim A major source of uncertainty in the application of species distribution models (SDMs) is
related to input data quality. Citizen‐collected species occurrence data are often used for …
related to input data quality. Citizen‐collected species occurrence data are often used for …
[HTML][HTML] Combining Satellite Remote Sensing and Climate Data in Species Distribution Models to Improve the Conservation of Iberian White Oaks (Quercus L.)
The Iberian Peninsula hosts a high diversity of oak species, being a hot-spot for the
conservation of European White Oaks (Quercus) due to their environmental heterogeneity …
conservation of European White Oaks (Quercus) due to their environmental heterogeneity …
A framework for multi-dimensional assessment of wildfire disturbance severity from remotely sensed ecosystem functioning attributes
Wildfire disturbances can cause modifications in different dimensions of ecosystem
functioning, ie, the flows of matter and energy. There is an increasing need for methods to …
functioning, ie, the flows of matter and energy. There is an increasing need for methods to …
Scientific evidence from space—a review of spaceborne remote sensing applications at the science–policy interface
On a daily basis, political decisions are made, often with their full extent of impact being
unclear. Not seldom, the decisions and policy measures implemented result in direct or …
unclear. Not seldom, the decisions and policy measures implemented result in direct or …
[HTML][HTML] Long-Range Bird Species Identification Using Directional Microphones and CNNs
T Garcia, L Pina, M Robb, J Maria, R May… - Machine Learning and …, 2024 - mdpi.com
This study explores the integration of directional microphones with convolutional neural
networks (CNNs) for long-range bird species identification. By employing directional …
networks (CNNs) for long-range bird species identification. By employing directional …
Ecosystem functioning influences species fitness at upper trophic levels
Global change is severely affecting ecosystem functioning and biodiversity globally.
Remotely sensed ecosystem functional attributes (EFAs) are integrative descriptors of the …
Remotely sensed ecosystem functional attributes (EFAs) are integrative descriptors of the …
Combining citizen science data and satellite descriptors of ecosystem functioning to monitor the abundance of a migratory bird during the non-breeding season
Migratory birds are particularly exposed to habitat changes in their breeding and non-
breeding grounds. Remote sensing technologies offer an excellent opportunity to monitor …
breeding grounds. Remote sensing technologies offer an excellent opportunity to monitor …
Complex changes in climatic suitability for Cassin's Sparrow (Peucaea cassinii) revealed by retrospective ecological niche modeling
Conservation status assessments for Cassin's Sparrow (Peucaea cassinii) show
considerable variability across the species' North American range. In this study, we combine …
considerable variability across the species' North American range. In this study, we combine …