Overcoming the data crisis in biodiversity conservation

Kindsvater, H. K., Dulvy, N. K., Horswill, C. , Juan-Jordá, M.-J., Mangel, M. and Matthiopoulos, J. (2018) Overcoming the data crisis in biodiversity conservation. Trends in Ecology and Evolution, 33(9), pp. 676-688. (doi: 10.1016/j.tree.2018.06.004) (PMID:30007845)

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Abstract

How can we track population trends when monitoring data are sparse? Population declines can go undetected, despite ongoing threats. For example, only one of every 200 harvested species are monitored. This gap leads to uncertainty about the seriousness of declines and hampers effective conservation. Collecting more data is important, but we can also make better use of existing information. Prior knowledge of physiology, life history, and community ecology can be used to inform population models. Additionally, in multispecies models, information can be shared among taxa based on phylogenetic, spatial, or temporal proximity. By exploiting generalities across species that share evolutionary or ecological characteristics within Bayesian hierarchical models, we can fill crucial gaps in the assessment of species’ status with unparalleled quantitative rigor.

Item Type:Articles
Additional Information:Funding was provided by the US National Science Foundation (DEB-1556779 to H.K.K. and DEB-1555729 to M.M.), the Natural Environment Research Council (NE/P004180/1 to J.M. and C.H.), and the Marine Alliance for Science and Technology Scotland (SG411 to C.H.).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Horswill, Dr Catharine and Matthiopoulos, Professor Jason
Authors: Kindsvater, H. K., Dulvy, N. K., Horswill, C., Juan-Jordá, M.-J., Mangel, M., and Matthiopoulos, J.
Subjects:Q Science > QL Zoology
College/School:College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
Journal Name:Trends in Ecology and Evolution
Publisher:Elsevier (Cell Press)
ISSN:0169-5347
ISSN (Online):1872-8383
Published Online:07 July 2018
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in Trends in Ecology and Evolution 33(9): 676-688
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
709611The interplay between life history evolution and population dynamics can help us conserve data-poor species and reveal how they evolvedJason MatthiopoulosNatural Environment Research Council (NERC)NE/P004180/1RI BIODIVERSITY ANIMAL HEALTH & COMPMED
3047640Horswill MASTS 2018Catharine HorswillMarine Alliance for Science and Technology Scotland (MASTS)N/AInstitute of Biodiversity, Animal Health and Comparative Medicine