Accounting for uncertainty when mapping species distributions: The need for maps of ignorance
Accurate mapping of species distributions is a fundamental goal of modern biogeography, both for basic and applied purposes. This is commonly done by plotting known species occurrences, expert-drawn range maps or geographical estimations derived from species distribution models. However, all three k...
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| Published in | Progress in physical geography Vol. 35; no. 2; pp. 211 - 226 |
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| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London, England
SAGE Publications
01.04.2011
Sage Publications Sage Publications Ltd |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Accurate mapping of species distributions is a fundamental goal of modern biogeography, both for basic and applied purposes. This is commonly done by plotting known species occurrences, expert-drawn range maps or geographical estimations derived from species distribution models. However, all three kinds of maps are implicitly subject to uncertainty, due to the quality and bias of raw distributional data, the process of map building, and the dynamic nature of species distributions themselves. Here we review the main sources of uncertainty suggesting a code of good practices in order to minimize their effects. Specifically, we claim that uncertainty should be always explicitly taken into account and we propose the creation of maps of ignorance to provide information on where the mapped distributions are reliable and where they are uncertain. |
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| AbstractList | Accurate mapping of species distributions is a fundamental goal of modern biogeography, both for basic and applied purposes. This is commonly done by plotting known species occurrences, expert-drawn range maps or geographical estimations derived from species distribution models. However, all three kinds of maps are implicitly subject to uncertainty, due to the quality and bias of raw distributional data, the process of map building, and the dynamic nature of species distributions themselves. Here we review the main sources of uncertainty suggesting a code of good practices in order to minimize their effects. Specifically, we claim that uncertainty should be always explicitly taken into account and we propose the creation of maps of ignorance to provide information on where the mapped distributions are reliable and where they are uncertain. Accurate mapping of species distributions is a fundamental goal of modern biogeography, both for basic and applied purposes. This is commonly done by plotting known species occurrences, expert-drawn range maps or geographical estimations derived from species distribution models. However, all three kinds of maps are implicitly subject to uncertainty, due to the quality and bias of raw distributional data, the process of map building, and the dynamic nature of species distributions themselves. Here we review the main sources of uncertainty suggesting a code of good practices in order to minimize their effects. Specifically, we claim that uncertainty should be always explicitly taken into account and we propose the creation of maps of ignorance to provide information on where the mapped distributions are reliable and where they are uncertain. [PUBLICATION ABSTRACT] |
| Author | Lengyel, Szabolcs Lobo, Jorge M. Jiménez-Valverde, Alberto Bacaro, Giovanni Rocchini, Duccio Chiarucci, Alessandro Hortal, Joaquín Ricotta, Carlo |
| Author_xml | – sequence: 1 givenname: Duccio surname: Rocchini fullname: Rocchini, Duccio organization: IASMA Research and Innovation Centre, Italy – sequence: 2 givenname: Joaquín surname: Hortal fullname: Hortal, Joaquín email: jhortal@mncn.csic.es organization: Museo Nacional de Ciencias Naturales, Spain, and Imperial College London, UK – sequence: 3 givenname: Szabolcs surname: Lengyel fullname: Lengyel, Szabolcs organization: University of Debrecen, Hungary – sequence: 4 givenname: Jorge M. surname: Lobo fullname: Lobo, Jorge M. organization: Museo Nacional de Ciencias Naturales, Spain – sequence: 5 givenname: Alberto surname: Jiménez-Valverde fullname: Jiménez-Valverde, Alberto organization: The University of Kansas, USA – sequence: 6 givenname: Carlo surname: Ricotta fullname: Ricotta, Carlo organization: Università La Sapienza di Roma, Italy – sequence: 7 givenname: Giovanni surname: Bacaro fullname: Bacaro, Giovanni organization: University of Siena, Italy – sequence: 8 givenname: Alessandro surname: Chiarucci fullname: Chiarucci, Alessandro organization: University of Siena, Italy |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24247343$$DView record in Pascal Francis |
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| Keywords | conservation biodiversity biogeography macroecology species distribution maps uncertainty species distribution modelling Statistical bias Cartography Uncertainty Spatial distribution Biogeography Model Ecology Biodiversity |
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