2023 - Research.com Ecology and Evolution in Australia Leader Award
Environmental resource management, Biodiversity, Ecology, IUCN Red List and Climate change are his primary areas of study. The Environmental resource management study combines topics in areas such as Environmental planning and Ecosystem management, Ecosystem, Ecosystem services. Many of his research projects under Biodiversity are closely connected to Medium term and Term with Medium term and Term, tying the diverse disciplines of science together.
His Ecology research incorporates elements of Vegetation and Extinction. His IUCN Red List research incorporates themes from Range, Endangered species, Regional Red List and Threatened species. His Climate change research includes themes of Population viability analysis, Metapopulation and Habitat destruction.
David A. Keith spends much of his time researching Ecology, Ecosystem, Environmental resource management, Biodiversity and IUCN Red List. His study in Fire regime, Threatened species, Vegetation, Climate change and Woodland is carried out as part of his studies in Ecology. David A. Keith combines subjects such as Agroforestry, Wetland and Risk assessment with his study of Ecosystem.
His Environmental resource management research is multidisciplinary, incorporating perspectives in Ecosystem management and Functional ecology. His studies in Biodiversity integrate themes in fields like Herbivore, Terrestrial ecosystem and Extinction. His IUCN Red List research includes elements of Conservation status, Critically endangered, Marine ecosystem and Environmental planning.
His primary areas of study are Ecosystem, Environmental resource management, Biodiversity, Ecology and IUCN Red List. His biological study spans a wide range of topics, including Agroforestry, Threatened species, Climate change and Risk assessment. His Environmental resource management study combines topics from a wide range of disciplines, such as Range, Ecosystem management, Global biodiversity and Ecosystem services.
His Biodiversity research is multidisciplinary, incorporating perspectives in Contrast, Terrestrial ecosystem and Extinction. In most of his Ecology studies, his work intersects topics such as Biological dispersal. As a part of the same scientific family, David A. Keith mostly works in the field of IUCN Red List, focusing on Critically endangered and, on occasion, Woodpecker and Ecosystem model.
The scientist’s investigation covers issues in Ecosystem, Environmental resource management, Biodiversity, IUCN Red List and Risk assessment. His Ecosystem research includes elements of Ecology and Threatened species. His Environmental resource management research includes themes of Remote sensing, Range and Ecosystem management.
His Biodiversity study improves the overall literature in Ecology. His IUCN Red List research is multidisciplinary, incorporating elements of Critically endangered and Not evaluated. His Risk assessment study combines topics from a wide range of disciplines, such as Agroforestry and Ecological indicator.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models.
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Biology Letters (2008)
PLANT FUNCTIONAL TRAITS IN RELATION TO FIRE IN CROWN-FIRE ECOSYSTEMS
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Ecology (2004)
Ocean shores to desert dunes : the native vegetation of New South Wales and the ACT
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(2004)
Limits to the use of threatened species lists
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(2002)
Faustian bargains? Restoration realities in the context of biodiversity offset policies
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(2012)
An ecomodernist manifesto
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(2015)
Scientific foundations for an IUCN Red List of ecosystems.
David A. Keith;David A. Keith;Jon Paul Rodríguez;Kathryn M. Rodríguez-Clark;Emily Nicholson.
PLOS ONE (2013)
Fire management for biodiversity conservation: Key research questions and our capacity to answer them
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(2010)
Value of long-term ecological studies
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Austral Ecology (2012)
Making Consistent IUCN Classifications under Uncertainty
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Conservation Biology (2000)
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