The San Francisco Bay Area Early Detection Network

Autor: Mark Frey, Dan Gluesenkamp, Andrea Williams, Mike Perlmutter
Rok vydání: 2015
Předmět:
Zdroj: Management of Biological Invasions. 6:231-241
ISSN: 1989-8649
DOI: 10.3391/mbi.2015.6.3.02
Popis: This paper summarizes the strategies of the San Francisco Bay Area Early Detection Network (BAEDN). BAEDN coordinates and implements Early Detection of and Rapid Response to infestations of target invasive plants throughout the nine county San Francisco Bay Area. Limited-distribution invasive plant species in the Bay Area were identified by analyzing occurrence records within the Calflora database. Target species were then prioritized according to whether or not they were documented as invasive and by expert opinion. Weed Heuristics: the Invasive Population Prioritization for Eradication Tool was used to prioritize the 272 known occurrences of the 73 target priority species based on relative impact, invasiveness, and feasibility of treatment. BAEDN coordinated two years of removal of these populations. Lessons learned and next steps are reviewed. As new populations and species are identified additional funds are needed to carry out coordinated evaluation, prioritization, and control efforts.
Databáze: OpenAIRE