Results 231 to 240 of about 1,314,075 (310)

Calibration of the species threat abatement and restoration metric's threat abatement component in a Costa Rican landscape

open access: yesConservation Biology, EarlyView.
Abstract Achieving global conservation policy goals requires the ability to set and measure progress toward science‐based targets for biodiversity. The species threat abatement and restoration (STAR) metric was developed to enable actors to set science‐based targets for species.
Louise Mair   +17 more
wiley   +1 more source

Advancing conservation breeding programs for marine invertebrates

open access: yesConservation Biology, EarlyView.
Abstract In the face of ecosystem change and biodiversity loss caused by climate change and other stressors, conservation breeding, or captive breeding, with the aim of reintroduction for wild population recovery, is an emerging tool for preventing species’ extinction and rehabilitating ecosystems.
Elora H. López‐Nandam   +3 more
wiley   +1 more source

A framework for maximizing the benefit from retaining regrowth on private land

open access: yesConservation Biology, EarlyView.
Abstract Conservation interventions often have lower‐than‐desired positive impacts, as revealed by retrospective counterfactual‐based evaluations. To address this, a prospective counterfactual‐based approach can be used to estimate potential benefits and design conservation interventions to maximize outcomes. We developed a framework for estimating the
Hannah Thomas   +4 more
wiley   +1 more source

Lack of Population Structure of an Extreme Migratory Shorebird: Evidence of Gene Flow Between Geographically Disparate Populations. [PDF]

open access: yesEcol Evol
Gherardi-Fuentes C   +7 more
europepmc   +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

Home - About - Disclaimer - Privacy