The data void in modeling current and future distributions of tropical species

By Kenneth J. Feeley, M. Silman. 2011

168 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Social Psychology

View Paper: https://www.semanticscholar.org/paper/cacf75a57e2106705bd37d3ece1c0b70e23c8173

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Citations in the corpus

Upslope migration of Andean trees (2011, unknown): “We screened to eliminate obvious georeferencing errors and duplicate records and excluded any collections from the study plots, resulting in a database of more than 125,000 unique records (Feeley & Silman, 2011).”
Multiple Dimensions of Climate Change and Their Implications for Biodiversity (2014, background): “Such is the case for the majority of known species across taxa (112), and particularly for the speciesrich and highly impacted tropical areas (113).”
The impact of modelling choices in the predictive performance of richness maps derived from species‐distribution models: guidelines to build better diversity models (2013, background): “Despite its obvious sampling bias in tropical areas (Feeley & Silman 2011), GBIF © 2013 The Authors.”
The relative importance of deforestation, precipitation change, and temperature sensitivity in determining the future distributions and diversity of Amazonian plant species (2012, background): “A major limitation has been the lack of information on current distributions because of the high number of species combined with the paucity of data available for most species (Feeley & Silman, 2011).”
Volume and Geographical Distribution of Ecological Research in the Andes and the Amazon, 1995–2008 (2011, background): “For example, Ecuador received more biodiversity-related donations from international sources in 1990-1997 than any other Latin American country, per square kilometer [34], and possesses the highest density of botanical collections of any tropical country [35].”
Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys (2017, background): “Additionally, collaborative research aimed at monitoring biodiversity internationally is rare, which makes effective conservation planning across geopolitical borders challenging (Feeley & Silman, 2011).”
Keep collecting: accurate species distribution modelling requires more collections than previously thought (2011, methodology): “If, however, the minimum sample size is increased to ‡ 100, only 0.3% of species have enough available data (Feeley & Silman, 2011).”
Pollination services at risk: Bee habitats will decrease owing to climate change in Brazil (2012, background): “, 2008), a form of data that is frequent on tropical regions (Feeley and Siman, 2011).”