Predicting defoliator abundance and defoliation measurements using Landsat‐based condition scores

Author:

Pasquarella Valerie J.1ORCID,Mickley James G.23,Barker Plotkin Audrey4,MacLean Richard G.5,Anderson Riley M.6,Brown Leone M.27,Wagner David L.2,Singer Michael S.6,Bagchi Robert2

Affiliation:

1. Department of Earth & Environment Boston University 685 Commonwealth Avenue Boston Massachusetts 02215USA

2. Department of Ecology & Evolutionary Biology University of Connecticut Storrs ConnecticutUSA

3. Department of Botany and Plant Pathology Oregon State University Corvallis OregonUSA

4. Harvard Forest Harvard University Petersham MassachusettsUSA

5. Massachusetts Department of Conservation and Recreation Division of Water Supply Protection Belchertown MassachusettsUSA

6. Department of Biology Wesleyan University Middletown ConnecticutUSA

7. Environmental Studies Program Tufts University Medford Massachusetts USA

Funder

Division of Environmental Biology

U.S. Forest Service

U.S. Geological Survey

University of California, Santa Cruz

Northern Arizona University

Publisher

Wiley

Subject

Nature and Landscape Conservation,Computers in Earth Sciences,Ecology,Ecology, Evolution, Behavior and Systematics

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