New Section Editors-in-Chief for Forests

We are pleased to announce that we have instituted a Section Editor-In-Chief structure to spread all submissions to four Sections:

Editor-In-Chief: Prof. Dr. Timothy Martin

Section Editor-In-Chief of 'Forest Ecology and Management': Dr. Libby Pinkard

Section Editor-In-Chief of Section 'Forest Ecophysiology and Biology': Dr. Timothy Martin

Section Editor-In-Chief of 'Forest Economics and Human Dimensions': Dr. Damian C. Adams

Section Editor-In-Chief of 'Forest Inventory, Quantitative Methods and Remote Sensing': Dr. David Verbyla

We are confident that the strong academic backgrounds and connections of the Editors will help continue to raise Forests' prestige and quality, while maintaining the efficiency of manuscript processing that Forests authors have come to expect.

Dr. Timothy A. Martin is a professor in the School of Forest Resources and Conservation at the University of Florida. He also serves as a Co-Director for the Forest Biology Research Cooperative. His research program focuses on the physiological mechanisms controlling productivity, carbon and water flux in trees and forests.

Dr. Libby Pinkard is a Principal Research Scientist at CSIRO Land and Water, and a Group Leader for Forest and landscape Processes and Risks. Her research focuses on tree physiology, climate change, environmental stress, forest management and pests and diseases.

Dr. Damian C. Adams is an associate professor in the School of Forest Resources and Conservation at the University of Florida. His research primarily focuses on understanding how people value ecosystem goods and services, the impact of attitudes and preferences on those values, and translating that information to inform policy decisions.

Dr. David Verbyla is a professor in the Department of Natural Resources Management at the University of Alaska. His broad research interest is in GIS technology for resource inventory and climate change studies, integrating remote sensing and GIS for regional analysis and support for spatial analysis using GIS.