High‐resolution tide projections reveal extinction threshold in response to sea‐level rise. (4th November 2016)

• Record Type: Journal Article
• Authors: Field, Christopher R.; Bayard, Trina S.; Gjerdrum, Carina; Hill, Jason M.; Meiman, Susan; Elphick, Chris S.
• Is Part Of: Global change biology. Volume 23:Number 5(2017)
• Page Start: 2058
• Page End: 2070
• Publication Date: 2016-11-04
• Subjects: extinction threshold -- population viability -- saltmarsh sparrow -- sea‐level rise -- tidal marsh -- tide projection; Climatic changes -- Environmental aspects -- Periodicals; Troposphere -- Environmental aspects -- Periodicals; Biodiversity conservation -- Periodicals; Eutrophication -- Periodicals; 551.5
• DOI: 10.1111/gcb.13519
• Languages: English
• ISSNs: 1354-1013

Abstract

Abstract: Sea‐level rise will affect coastal species worldwide, but models that aim to predict these effects are typically based on simple measures of sea level that do not capture its inherent complexity, especially variation over timescales shorter than 1 year. Coastal species might be most affected, however, by floods that exceed a critical threshold. The frequency and duration of such floods may be more important to population dynamics than mean measures of sea level. In particular, the potential for changes in the frequency and duration of flooding events to result in nonlinear population responses or biological thresholds merits further research, but may require that models incorporate greater resolution in sea level than is typically used. We created population simulations for a threatened songbird, the saltmarsh sparrow ( Ammodramus caudacutus ), in a region where sea level is predictable with high accuracy and precision. We show that incorporating the timing of semidiurnal high tide events throughout the breeding season, including how this timing is affected by mean sea‐level rise, predicts a reproductive threshold that is likely to cause a rapid demographic shift. This shift is likely to threaten the persistence of saltmarsh sparrows beyond 2060 and could cause extinction as soon as 2035. Neither extinction date nor the population trajectory was sensitive to the emissions scenarios underlying sea‐level projections, as most of the population decline occurred before scenarios diverge. Our results suggest that the variation and complexity of climate‐driven variables could be important for understanding the potential responses of coastal species to sea‐level rise, especially for species that rely on coastal areas for reproduction.