Detecting range shifts from historical species occurrences: new perspectives on old data.

By M. Tingley, Steven R. Beissinger. Trends in Ecology & Evolution, 2009

397 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/e001aebd8a85365b8bf94b96178c220e352f4191

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Citations in the corpus

Defining and observing stages of climate-mediated range shifts in marine systems (2014, background): “variability can be accounted for at analysis stages (Sexton et al., 2009; Tingley and Beissinger, 2009).”
The push and pull of climate change causes heterogeneous shifts in avian elevational ranges (2012, methodology): “To explore whether occupancy changed over time, we used an ‘unpaired-site’ model (Tingley & Beissinger, 2009), which tests for a temporal (‘era’) effect as a covariate of w within a single-season model.”
Geographical range margins of many taxonomic groups continue to shift polewards (2015, neutral): “Variation in levels of recorder effort across spatial and temporal scales can present problems to ecologists aiming to quantify range shifts (Tingley & Beissinger, 2009; Isaac et al. , 2014).”
Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities (2011, background): “Tests of model performance in historical time periods may provide useful insight into the performance of SDMs for climate change and species invasion applications (Randin et al., 2006; Tingley & Beissinger, 2009).”
How does climate change cause extinction? (2013, neutral): “The historical range can be determined from literature records and/or museum specimen localities [87].”
Uncovering, Collecting, and Analyzing Records to Investigate the Ecological Impacts of Climate Change: A Template from Thoreau's Concord (2012, background): “This great loss and decline of species was somewhat surprising, considering Articles www.biosciencemag.org February 2012 / Vol. 62 No. 2 • BioScience 175 Articles dates and increased in abundance in Concord, and species in other clades tend to have less-flexible flowering dates and decreased in abun”
Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities (2017, methodology): “It is recommended that new field studies aimed at studying species distributions collect data that permits accounting for imperfect detection (e.g. Tingley and Beissinger 2009, Kéry et al. 2010a, Lahoz-Monfort et al. 2014).”
Population decline assessment, historical baselines, and conservation (2010, background): “However, recent advances in occupancy modeling (e.g., Bayesian state-space models) provide improved inference and lowered uncertainty to range map data (Royle & Kéry 2007; Tingley & Beissinger 2009).”
Quantitative approaches in climate change ecology (2011, background): “© 2011 Blackwell Publishing Ltd, Global Change Biology, 17, 3697–3713”
Range dynamics of small mammals along an elevational gradient over an 80‐year interval (2009, methodology): “To account for potential sampling biases in comparison of ranges over time (Hill et al., 2002; Shoo et al., 2006; Tingley & Beissinger, 2009), we introduce a binomial likelihood model that estimates whether the failure to detect a species outside of its observed range limit represents an artifact…”