Andrew Hansen

Professor Emeritus

Montana State University

United States

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Andrew Hansen is a Professor Emeritus at Montana State University, USA. His research focuses on ecosystem conservation, habitat prioritization, and the impacts of ecological dynamics in tropical forests. Recent publications include studies on the ecological value of habitats, forest quality indicators for sustainable development, and the effects of understory fires on canopy change in tropical ecosystems.

Articles (10)

Year:

2024

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2021

Collaborators (7)

Patrick Jantz

Northern Arizona University

UNITED STATES

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Scott Goetz

Regents Professor

Northern Arizona University

UNITED STATES

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Liliana Davalos

Professor

Stony Brook University

UNITED STATES

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Cornelia Krug

University of Zurich

SWITZERLAND

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Brooke Williams

Queensland University of Technology

AUSTRALIA

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James E. M. Watson

University of Queensland

AUSTRALIA

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Oscar Venter

University of Northern British Columbia

CANADA

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Andrew Hansen

Research Interests

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Contact this professor

About

Articles (10)

Author Correction: A policy-driven framework for conserving the best of Earth’s remaining moist tropical forests

Validation and Error Minimization of Global Ecosystem Dynamics Investigation (GEDI) Relative Height Metrics in the Amazon

Integrating Ecological Value and Charismatic Species Habitats to Prioritize Habitats for Conservation: A Case Study from Greater Yellowstone

Developing national complementary indicators of SDG15 that consider forest quality: Applications in Colombia, Ecuador, and Peru

Measuring Understory Fire Effects from Space: Canopy Change in Response to Tropical Understory Fire and What This Means for Applications of GEDI to Tropical Forest Fire

Setting ambitious international restoration objectives for terrestrial ecosystems for 2030 and beyond

Humid tropical vertebrates are at lower risk of extinction and population decline in forests with higher structural integrity

Tropical forests are home to over half of the world’s vertebrate species

Informing conservation decisions to target private lands of highest ecological value and risk of loss

Evaluating the importance of wolverine habitat predictors using a machine learning method

Collaborators (7)

Patrick Jantz

Scott Goetz

Liliana Davalos

Cornelia Krug

Brooke Williams

James E. M. Watson

Oscar Venter

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