Assessing adequacy of citizen science datasets for biodiversity monitoring.
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| Title: | Assessing adequacy of citizen science datasets for biodiversity monitoring. |
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| Authors: | Backstrom LJ; School of the Environment, Centre for Biodiversity and Conservation Science The University of Queensland St Lucia Queensland Australia.; School of Mathematics and Statistics, Centre for Research into Ecological and Environmental Modelling The University of St Andrews St Andrews UK., Callaghan CT; Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center University of Florida Davie Florida USA., Leseberg NP; School of the Environment, Centre for Biodiversity and Conservation Science The University of Queensland St Lucia Queensland Australia.; Research and Recovery of Endangered Species Group The University of Queensland St Lucia Queensland Australia., Sanderson C; School of the Environment, Centre for Biodiversity and Conservation Science The University of Queensland St Lucia Queensland Australia., Fuller RA; School of the Environment, Centre for Biodiversity and Conservation Science The University of Queensland St Lucia Queensland Australia., Watson JEM; School of the Environment, Centre for Biodiversity and Conservation Science The University of Queensland St Lucia Queensland Australia.; Research and Recovery of Endangered Species Group The University of Queensland St Lucia Queensland Australia. |
| Source: | Ecology and evolution [Ecol Evol] 2024 Jan 31; Vol. 14 (2), pp. e10857. Date of Electronic Publication: 2024 Jan 31 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Blackwell Pub. Ltd Country of Publication: England NLM ID: 101566408 Publication Model: eCollection Cited Medium: Print ISSN: 2045-7758 (Print) Linking ISSN: 20457758 NLM ISO Abbreviation: Ecol Evol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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