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D-Index & Metrics

Ecology and Evolution

D-Index
85
Citations
25817
World Ranking
644
National Ranking
97

Research.com Recognitions

  • 1999 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Samuel A. Cushman is affiliated with the University of Oxford in the United Kingdom. Their research primarily focuses on environmental science, with extensive work in ecology, ecological modeling, and global and planetary change.

Their work covers multiple subfields, including:

  • Ecology
  • Ecological Modeling
  • Global and Planetary Change
  • Nature and Landscape Conservation
  • Genetics

Main topics in their research include:

  • Wildlife Ecology and Conservation
  • Species Distribution and Climate Change
  • Wildlife-Road Interactions and Conservation
  • Ecology and Vegetation Dynamics Studies
  • Land Use and Ecosystem Services
  • Fire effects on ecosystems
  • Plant and animal studies

Frequent co-authors collaborating with them include:

  • Żaneta Kaszta
  • David W. Macdonald
  • Ho Yi Wan
  • Andrew J. Hearn
  • Eric Ash

They have published extensively in venues such as:

  • Landscape Ecology
  • Ecological Modelling
  • SSRN Electronic Journal
  • Animal Conservation
  • Biological Conservation

Selected recent papers demonstrate their focus on habitat and wildlife conservation:

  • "A multi-scale, multi-species approach for assessing effectiveness of habitat and connectivity conservation for endangered felids" (2020, Biological Conservation)
  • "Machine learning in landscape ecological analysis: a review of recent approaches" (2021, Landscape Ecology)
  • "Prioritizing habitat core areas and corridors for a large carnivore across its range" (2020, Animal Conservation)
  • "Identifying priority core habitats and corridors for effective conservation of brown bears in Iran" (2021, Scientific Reports)
  • "Species and space: a combined gap analysis to guide management planning of conservation areas" (2020, Landscape Ecology)

Their research integrates habitat prioritization, landscape connectivity, and the use of machine learning methods to address conservation challenges.

In 1999, they were recognized as a Fellow of the American Association for the Advancement of Science (AAAS).

Best Publications

  • Effects of habitat loss and fragmentation on amphibians: A review and prospectus

    Unknown

  • COMPARATIVE EVALUATION OF EXPERIMENTAL APPROACHES TO THE STUDY OF HABITAT FRAGMENTATION EFFECTS

    Kevin McGarigal;Samuel A. Cushman

  • Gene Flow in Complex Landscapes: Testing Multiple Hypotheses with Causal Modeling.

    Samuel A. Cushman;Kevin Scot McKelvey;Jim Hayden;Michael K. Schwartz

  • Parsimony in landscape metrics: Strength, universality, and consistency

    Samuel A. Cushman;Kevin McGarigal;Maile C. Neel

  • Multi-scale habitat selection modeling: a review and outlook

    Kevin McGarigal;Ho Yi Wan;Kathy A. Zeller;Brad C. Timm

  • Quantifying the lag time to detect barriers in landscape genetics

    E. L. Landguth;S. A. Cushman;M. K. Schwartz;K. S. McKELVEY

  • Surface metrics: an alternative to patch metrics for the quantification of landscape structure

    Kevin McGarigal;Sermin Tagil;Samuel A. Cushman

  • Applications of landscape genetics in conservation biology: concepts and challenges

    Gernot Segelbacher;Samuel A. Cushman;Bryan K. Epperson;Marie Josée Fortin

  • Behavior of class-level landscape metrics across gradients of class aggregation and area

    Maile C. Neel;Kevin McGarigal;Samuel A. Cushman

  • Modeling species distribution and change using random forest [Chapter 8]

    Jeffrey S. Evans;Melanie A. Murphy;Zachary A. Holden;Samuel A. Cushman

  • Hierarchical, Multi-scale decomposition of species-environment relationships

    Samuel A. Cushman;Kevin McGarigal

  • Gradient modeling of conifer species using random forests

    Jeffrey S. Evans;Samuel A. Cushman

  • A resistant-kernel model of connectivity for amphibians that breed in vernal pools.

    Bradley W. Compton;Kevin McGARIGAL;Samuel A. Cushman;Lloyd R. Gamble

  • Issues and Perspectives in Landscape Ecology: The gradient concept of landscape structure

    Kevin McGarigal;Samuel A. Cushman

  • Spurious correlations and inference in landscape genetics

    Samuel A. Cushman;Erin L. Landguth

  • Inferring landscape effects on gene flow: a new model selection framework

    Unknown

  • Wolverine gene flow across a narrow climatic niche.

    Michael K. Schwartz;Jeffrey P. Copeland;Neil J. Anderson;John R. Squires

  • The devil is in the dispersers: predictions of landscape connectivity change with demography

    Nicholas B. Elliot;Samuel A. Cushman;David W. Macdonald;Andrew J. Loveridge

  • Landscape genetics : concepts, methods, applications

    Niko Balkenhol;Samuel A. Cushman;Andrew T. Storfer;Lisette P. Waits

  • Identifying future research needs in landscape genetics: Where to from here?

    Niko Balkenhol;Felix Gugerli;Sam A. Cushman;Lisette P. Waits

  • Utility of computer simulations in landscape genetics

    Bryan K Epperson;Brad H. McRae;Kim T. Scribner;Samuel A. Cushman

  • Why replication is important in landscape genetics: American black bear in the Rocky Mountains.

    R. A. Short Bull;Samuel Cushman;R. Mace;T. Chilton

  • Use of empirically derived source-destination models to map regional conservation corridors

    Samuel A. Cushman;Kevin S. McKELVEY;Michael K. Schwartz

  • Spatial complexity, informatics, and wildlife conservation

    Samuel A. Cushman;Falk Huettmann

Frequent Co-Authors

Erin L. Landguth
Erin L. Landguth University of Montana
Kevin S. McKelvey
Kevin S. McKelvey US Forest Service
Kevin McGarigal
Kevin McGarigal University of Massachusetts Amherst
Michael K. Schwartz
Michael K. Schwartz US Forest Service
David W. Macdonald
David W. Macdonald University of Oxford
Jeffrey S. Evans
Jeffrey S. Evans The Nature Conservancy
Niko Balkenhol
Niko Balkenhol University of Göttingen
Lisette P. Waits
Lisette P. Waits University of Idaho
Gordon Luikart
Gordon Luikart University of Montana
Santiago Saura
Santiago Saura Technical University of Madrid

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