Assessing Distribution and Trends in Population Sizes and Productivity in Arctic Breeding Shorebirds: Some Suggestions
Year: 1995
Type: article
Abstract: Assessing distribution and trends in population sizes and productivity in arctic breeding shorebirds: some suggestions Nick Davidson Davidson, N.C.1995.Assessing distribution and trends in population sizes and productivity in arctic breeding shorebirds: some suggestions.Wader Study Group Bull.76: 47-52.This discussion paper was originally prepared at the suggestion of Hugh Boyd and Guy Morrison (Canadian Wildlife Service) as background to round-table discussions at the 1994 International Ornithological Congress and to Canadian Wildlife Service deliberations on the feasibility of developing an monitoring programme for breeding ground density and productivity of shorebirds in the Canadian arctic.Although focused on opportunities in the Canadian arctic many points are common also to current wider discussions on developing global monitoring networks for arctic shorebirds.Whilst a comprehensive annual arctic monitoring programme may be a logistically and financially unattainable ideal, there is much to be gained from a better co-ordination and collaboration of existing work at different levels of effort and detail.A number of approaches are suggested that would each yield consistent information at varying levels of detail.Each would enhance our knowledge and understanding of arctic-breeding shorebirds.Implementing even some of these approaches will aid development of international conservation initiatives for arctic-breeding migratory shorebirds.The approaches proposed are in line with the 1992 Odessa Protocol objectives, now being taken forward by the Wader Study Group, of improving international collaboration on data collection and developing international standard field methodologies.
Author: Davidson, Nick
Language: English
Topic: Avian ecology and behavior
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: green
OpenAlex ID: W7153425711
