His primary areas of study are Ecology, Habitat, Habitat destruction, Vegetation and Biodiversity. His work on Ecology is being expanded to include thematically relevant topics such as Spatial distribution. His work in the fields of Habitat, such as Warbler and Wildlife conservation, intersects with other areas such as Attraction and Research needs.
The various areas that Matthew G. Betts examines in his Habitat destruction study include Landscape ecology, Fragmentation and Pollination, Pollinator. His Vegetation research incorporates themes from Old-growth forest and Geographic information system. His biological study spans a wide range of topics, including Spatial ecology and Climate change.
Matthew G. Betts mainly investigates Ecology, Habitat, Biodiversity, Habitat destruction and Forest management. His Ecology and Vegetation, Abundance, Pollinator, Pollination and Fragmentation investigations all form part of his Ecology research activities. His work carried out in the field of Habitat brings together such families of science as Biological dispersal and Selection.
His research investigates the connection between Biodiversity and topics such as Climate change that intersect with issues in Breeding bird survey. His Habitat destruction study combines topics in areas such as Deforestation, Flying squirrel and Landscape connectivity. His research in Forest management intersects with topics in Old-growth forest, Forest ecology, Herbivore and Seral community.
Matthew G. Betts spends much of his time researching Ecology, Biodiversity, Forest management, Habitat and Agroforestry. His study involves Vegetation, Abundance, Landscape ecology, Pollination and Habitat destruction, a branch of Ecology. His research integrates issues of Climate change mitigation, Climate change, Afforestation and Disturbance in his study of Biodiversity.
His Forest management study incorporates themes from Old-growth forest, Ecosystem, Chronosequence, Canopy and Clearcutting. His work on Habitat fragmentation as part of general Habitat study is frequently connected to Social information, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Agroforestry research is multidisciplinary, relying on both Convention on Biological Diversity, Biomass carbon, Human–wildlife conflict and Ecosystem services.
His scientific interests lie mostly in Ecology, Biodiversity, Forest management, Agroforestry and Herbivore. His Ecology study typically links adjacent topics like Extinction. His Biodiversity research includes elements of Fragmentation and Disturbance.
His Forest management research incorporates elements of Old-growth forest, Ecosystem, Ecosystem services, Human–wildlife conflict and Adaptive management. His Herbivore research incorporates themes from Relative species abundance, Reforestation, Introduced species, Native plant and Ungulate. His Habitat destruction research is under the purview of Habitat.
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.
Bushmeat hunting and extinction risk to the world's mammals
Royal Society Open Science (2016)
Global forest loss disproportionately erodes biodiversity in intact landscapes
Acoustic classification of multiple simultaneous bird species: A multi-instance multi-label approach
Journal of the Acoustical Society of America (2012)
Occupancy estimation and the closure assumption
Journal of Applied Ecology (2009)
The effects of landscape fragmentation on pollination dynamics: absence of evidence not evidence of absence.
Biological Reviews (2012)
Thresholds in songbird occurrence in relation to landscape structure.
Matthew G. Betts;Graham J. Forbes;Antony W. Diamond.
Conservation Biology (2007)
Social information trumps vegetation structure in breeding-site selection by a migrant songbird
Proceedings of The Royal Society B: Biological Sciences (2008)
The importance of spatial autocorrelation, extent and resolution in predicting forest bird occurrence
Matthew G. Betts;A.W. Diamond;G.J. Forbes;M.-A. Villard.
Ecological Modelling (2006)
Lidar remote sensing variables predict breeding habitat of a Neotropical migrant bird
Scott J. Goetz;Daniel Steinberg;Matthew G. Betts;Richard T. Holmes.
Spatial models reveal the microclimatic buffering capacity of old-growth forests
Sarah J. K. Frey;Adam S. Hadley;Sherri L. Johnson;Mark Schulze.
Science Advances (2016)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: