His primary scientific interests are in Ecology, Biodiversity, Ecological systems theory, Realized niche width and Continuum concept. His work in Ecology, Gradient analysis, Identification, Ecological niche and Niche are all subfields of Ecology research. His Biodiversity study combines topics in areas such as Fragmentation, Landscape connectivity, Environmental resource management and Ecosystem services.
His work deals with themes such as Spatial analysis, Linear model, Econometrics, Statistical model and Social ecological model, which intersect with Ecological systems theory. His studies deal with areas such as Statistical theory, Canonical correlation, Statistics, Regression analysis and Correspondence analysis as well as Econometrics. In his work, Species distribution, Climate change and Temperate climate is strongly intertwined with Environmental niche modelling, which is a subfield of Realized niche width.
His primary areas of investigation include Ecology, Habitat, Competition, Biodiversity and Ordination. His Ecology research focuses on Eucalyptus, Environmental gradient, Species richness, Vegetation and Gradient analysis. His Habitat research is multidisciplinary, relying on both Rainforest, Range and Forest management.
He interconnects Interspecific competition, Complex response, Categorical variable, Introduced species and Community in the investigation of issues within Competition. His Biodiversity research integrates issues from Plant ecology and Environmental resource management. His work in Ordination tackles topics such as Multidimensional scaling which are related to areas like Social ecological model, Floristics and Correspondence analysis.
Mike P. Austin mostly deals with Ecology, Habitat fragmentation, Ecosystem, Correspondence analysis and Scientific literature. His Ecology study focuses on Environmental niche modelling in particular. His Habitat fragmentation study also includes
His biological study spans a wide range of topics, including Nestedness, Species richness, Habitat and Plant community. His Correspondence analysis study incorporates themes from Social ecological model and Data science. He has researched Scientific literature in several fields, including Ecology, Decision support system and Identification.
Ecology, Classification of discontinuities, Correspondence analysis, Vegetation and Earth science are his primary areas of study. His Landscape connectivity research extends to Ecology, which is thematically connected. His Landscape connectivity study combines topics from a wide range of disciplines, such as Biomass, Fragmentation and Ecosystem, Ecosystem services.
His studies in Fragmentation integrate themes in fields like Habitat fragmentation and Biodiversity. His Sociology of scientific knowledge studies intersect with other subjects such as Decision support system, Scientific literature, Grey literature and Identification. Mike P. Austin performs integrative study on Construct and Ecology in his works.
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Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
M.P Austin.
Ecological Modelling (2002)
Habitat fragmentation and its lasting impact on Earth’s ecosystems
Nick M. Haddad;Lars A. Brudvig;Jean Clobert;Kendi F. Davies.
Science Advances (2015)
Species distribution models and ecological theory: A critical assessment and some possible new approaches
Mike Austin.
Ecological Modelling (2007)
Predicting species distributions for conservation decisions
A. Guisan;R. Tingley;J. B. Baumgartner;I. Naujokaitis-Lewis.
Ecology Letters (2013)
Continuum Concept, Ordination Methods, and Niche Theory
M P Austin.
Annual Review of Ecology, Evolution, and Systematics (1985)
A new model for the continuum concept
M. P. Austin;T. M. Smith.
Plant Ecology (1989)
Measurement of the realized qualitative niche: environmental niches of five Eucalyptus species
M. P. Austin;A. O. Nicholls;C. R. Margules.
Ecological Monographs (1990)
Patterns of plant species richness in relation to different environments: An appraisal
Juli G. Pausas;Mike P. Austin.
Journal of Vegetation Science (2001)
New approaches to direct gradient analysis using environmental scalars and statistical curve-fitting procedures
M. P. Austin;R. B. Cunningham;P. M. Fleming.
Plant Ecology (1984)
Improving species distribution models for climate change studies: variable selection and scale
Mike P. Austin;Kimberly P. Van Niel.
Journal of Biogeography (2011)
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