Matthew Garcia, Ph.D.

Phenoclimatology, Atmospheric Science,
     Hydrology, Land–Atmosphere Modeling,
          Remote Sensing, Programming


9-12 September 2024: North Central Forest Pest Workshop (NCFPW), Sault Ste. Marie, Ontario


1-4 April, 2024: IALE-NA Annual Meeting, Oklahoma City, Oklahoma

     Forest pest detection and monitoring in the Upper Great Lakes through remote sensing of phenology and ancillary data synthesis

19-23 March, 2023: IALE-NA Annual Meeting, Riverside, California

     Forest disturbance detection and tracking in the U.S. Upper Great Lakes through a synthesis of meteorology and remotely sensed phenology

20-24 June 2022: North American Forest Ecology Workshop, online/virtual

     Differences in weather-driven dispersal patterns between spruce budworm males and females and their potential effects on nearby populations

18-21 August 2019: CSEE-ESC-AES 2019 Joint Meeting, Fredericton, New Brunswick

     Modeling Aerial Dispersal of Eastern Spruce Budworm Moths During Summer Migration

11-16 August 2019: Ecological Society of America 2019 Annual Meeting, Louisville, Kentucky

     Modeling Aerial Dispersal of Eastern Spruce Budworm Moths During Summer Migration

8-11 July 2019: IUFRO Workshop on Population Dynamics and Integrated Management of Forest Insects, Québec City, Québec

     Modeling Aerial Dispersal of Eastern Spruce Budworm Moths During Summer Migration

23-27 June 2019: North American Forest Ecology Workshop, Flagstaff, Arizona

     Spatiotemporally Explicit Modeling of Forest Phenology Using Weather and Climatology
     Modeling Aerial Dispersal of Eastern Spruce Budworm Moths During Summer Migration

7-11 April, 2019: US-IALE Annual Meeting, Fort Collins, Colorado

     Spatiotemporally Explicit Forest Phenoclimatology in Northeastern Minnesota, USA

1-5 October, 2018: ForestSAT, College Park, Maryland

     Using Landsat, Aerial Surveys, Weather Modeling, and Agent-based Models of Outbreak Insect Phenology and Migration
          to Explore the Topographic Concentration Hypothesis
     Landsat-based Upper Great Lakes Forest Phenoclimatology, 1984-2013