Biological Scientist - Insect and Disease Aerial Survey

USDA Forest Service
Anchorage or Juneau, Alaska
Application Deadline: 
Thursday, November 29, 2018 - 16
Contact Name For Further Info: 
Elizabeth Graham
Contact Phone Number: 
9075868883
Contact Email: 
eegraham@fs.fed.us

This position is with the Alaska Region, State and Private Forestry staff. The incumbent performs aerial forest insect and disease (FID) detection surveys, manipulates geographic information system (GIS) map bases, and edits, maintains, and assists with the reporting of aerial survey GIS data.

 

Works closely with the staff responsible for the forest health aerial sketch-map survey program.  Largely responsible for planning, coordinating and conducting the annual aerial FID detection survey for a large geographic area encompassing most forested areas within the State and elsewhere as needed. Work includes activities such as contracting for aircraft, developing cooperative agreements with State agencies, coordinating with federal and State land managers to determine areas to be surveyed, selecting and applying appropriate survey methods and maps, identifying and mapping insect and disease occurrences from aircraft, and directing follow-up ground surveys as needed.

 

Coordinates with Aerial Survey Program Manager, GIS coordinator and other survey participants to ensure accurate computation of survey data and maps; production of tabular data, and summary output for accuracy within specified timelines.  Facilitates preparation of data obtained through the aerial detection sketch-map surveys for incorporation into Regional and National databases.

 

Participates in forest insect and disease field surveys as needed to evaluate insect and disease impacts.  Operates independently using a study plan prepared by the incumbent or by staff entomologist or pathologist.  Activities vary widely due to the wide variety of insects and diseases sampled.  Summarizes data obtained from field surveys and applies appropriate statistical tests to determine significance and variability of data.  Reports results to various users in various written and graphic formats.  Handles logistical problems associated with sampling widespread areas with few people.