Results 221 to 230 of about 174,552,747 (312)

A Simple Grid‐Maps Pipeline: Restructured, Accelerated and Upgraded

open access: yesComputer Graphics Forum, EarlyView.
Abstract Grid maps – spatially arranged small multiples – are a powerful tool to show complex geospatial data. Meulemans et al. (2020) introduced a pipeline for computing high‐quality grid maps that are shaped roughly according to their containing geographic outlines.
W. Meulemans
wiley   +1 more source

Birdlife of the Gulf of Mexico

open access: yesThe Condor, 2019
Emily B Cohen, Timothy A Guida
openaire   +1 more source

The collective application of shorebird tracking data to conservation

open access: yesConservation Biology, EarlyView.
Abstract Addressing urgent conservation issues, such as the drastic declines of North American migratory birds, requires creative, evidence‐based, efficient, and collaborative approaches. The abundance of over 50% of monitored North American shorebird populations has declined by over 50% since 1980. To address these declines, we developed a partnership
Autumn‐Lynn Harrison   +71 more
wiley   +1 more source

Population structure of yellowtail snapper using age-based life history and otolith shape in southern Gulf of México. [PDF]

open access: yesPLoS One
Renán X   +6 more
europepmc   +1 more source

Comprehensive framework for assessing and optimizing existing research networks

open access: yesConservation Biology, EarlyView.
Abstract Conservation, monitoring, and research networks, or collections of ecological research sites unified under a common mission of data collection or a research mission, are essential infrastructure for understanding large landscapes. However, most networks developed opportunistically over decades rather than through systematic design, creating ...
Alyson East   +2 more
wiley   +1 more source

Emerging applications of large language models in ecology and conservation science

open access: yesConservation Biology, EarlyView.
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides   +5 more
wiley   +1 more source

A framework for integrating resilience indicators into risk assessments

open access: yesConservation Biology, EarlyView.
Abstract Globally, ecosystems are increasingly threatened by climate change and human pressures, yet ecosystem risk assessments predominantly emphasize exposure to stressors while overlooking intrinsic ecosystem resilience—the capacity to absorb and recover from disturbances.
Benoît Pichon   +4 more
wiley   +1 more source

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