title: Criteria to assess and select sites for long-term avian monitoring in an urbanizing landscape.
abstract: A methodology was developed to prioritize the suitability of sites for long-term monitoring of avian populations, including vulnerable species, both to enhance assessment of changes in ecological resources and to facilitate land-use planning at the regional scale. This paper argues that a successful monitoring program begins with a site prioritization procedure that integrates scores based on spatial controls with ecological and socio-economic indicators, particularly those dependent on community involvement. The evaluation strategy in this study combines 1) spatial controls such as land ownership and accessibility, with 2) biological and habitat indicators such as vulnerable species and habitat connectivity, and 3) community and agency variables such as volunteer commitment and agency priorities. In total, a set of ten indicators was identified. This strategy was applied to predominantly agricultural landscapes, which are experiencing increasing human pressures, in three sub-watersheds of the Credit River, Southern Ontario. Specifically, bird populations were recorded during the breeding seasons of 2000-2002 in nine land units or habitat types including marsh, deciduous forest, and grasslands as mapped by Credit Valley Conservation (CVC) following Ecological Land Classification (ELC) guidelines. CVC selected sites for long-term monitoring in 2002 and the relationships between the scored (or ranked) sites and the selected long-term monitoring sites are discussed.
authors.affiliation: Department of Geography, University of Guelph, Guelph, Ontario, Canada N1G 2W1. lbennett@uoguelph.ca
authors.forename: Lorne P
authors.initials: LP
authors.lastname: Bennett
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Milne
mesh_terms: D000383:Agriculture; D000818:Animals; D001717:Birds; D002947:Cities; D003247:Conservation of Natural Resources / Q000191:economics; D004784:Environmental Monitoring; D005260:Female; D008297:Male; D009864:Ontario; D011157:Population Dynamics; D018570:Risk Assessment; D012621:Seasons; D012924:Social Conditions