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Citizen-Science Data Supports Bird Conservation Plan


Canada warbler

The Canada warbler is one of 117 bird species whose habitat would be protected under a conservation plan based on crowd-sourced data.

An international team of scientists used eBird, the Cornell Lab of Ornithology's global citizen science database, to calculate how to sufficiently conserve habitat across the Western Hemisphere for birds throughout their annual cycle of breeding, migration, and overwintering. Their blueprint for conservation is described in "Optimizing the Conservation of Migratory Species Over Their Full Annual Cycle," published in Nature Communications.

The study provides planners with guidance on the locations and amounts of land that must be conserved for 30% of the global populations for each of 117 bird species that migrate to the Neotropics (Central and South America, the Caribbean, and southern North America).

More than one-third of Neotropical migratory birds are suffering population declines, yet a 2015 global assessment found that only 9% of migratory bird species have adequate habitat protection across their yearly ranges to protect their populations. Conservation of migratory birds has historically been difficult, partly because they require habitat across continents and conservation efforts have been challenged by limited knowledge of their abundance and distribution over their vast ranges and throughout the year.

"We are excited to be the first to use a data-driven approach that identifies the most critical places for bird conservation across breeding, overwintering, and migratory stopover areas throughout the Western Hemisphere," says lead author Richard Schuster, a postdoctoral fellow at Carleton University, referring to the eBird database. "In doing so, we provide guidance on where, when, and what type of habitat should be conserved to sustain populations. This is a vital step if conservationists are to make the best use of limited resources and address the most critical problems at a hemispheric scale."

The team's analysis found that conservation strategies were most efficient when they incorporated working lands, such as agriculture or forestry, rather than exclusively focusing on areas with limited human impacts (i.e., intact or undisturbed landscapes). The importance of shared-use or working landscapes to migratory birds underscores how strategic conservation can accommodate both human livelihoods and biodiversity. The research also found that efficiency was greatest—requiring 56% less land area—when planning across the entire year in full, rather than separately by week.

"This study illustrates how globally crowdsourced data can facilitate strategic planning to achieve the best return on conservation investments," says co-author Amanda Rodewald, senior conservation science director at the Cornell Lab of Ornithology. "No other data source could have achieved anything close to this level of detail and efficiency in spatial planning over such a vast area."

"Efforts to conserve migratory species have traditionally focused on single species and emphasized breeding grounds. Our results show that planning for multiple species across the entire year represents a far more efficient approach to land use planning," says co-author Scott Wilson, research scientist with Environment and Climate Change Canada, a Canadian government organization.

"Prioritizing sites in which to invest our conservation dollars will dramatically improve our returns on the roughly $1 billion spent annually on the conservation of birds by government and nonprofit organizations, often in the absence of spatially explicit information on year-round abundance or geographical representation," says Peter Arcese, co-author and chair of applied conservation biology at the University of British Columbia.

Additional authors of the Nature Communications article are Daniel Fink and Tom Auer of the Cornell Lab of Ornithology, and Joseph. R. Bennett of Carleton University.

This work was funded by The Leon Levy Foundation, The Wolf Creek Charitable Foundation, NASA, a Microsoft Azure Research Award, and the U.S. National Science Foundation.


 

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