Beyond scarcity: citizen science programmes as useful tools for conservation biogeography
By V. Devictor, Robert J. Whittaker, C. Beltrame. 2010
519 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/9230792e1d2f9d524376de1df207f7ad2ef392ed
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- V. Devictor
- Frédéric Jiguet
- Romain Julliard
- Wilfried Thuiller
- D. Richardson
- Jane Elith
- Denis Couvet
- Antoine Guisan
In Ecology
- V. Devictor
- Frédéric Jiguet
- Romain Julliard
- Denis Couvet
- Julian D. Olden
- D. Richardson
- Ç. Şekercioğlu
- Lise Comte
In Nature and Landscape Conservation
- Wilfried Thuiller
- V. Devictor
- Frédéric Jiguet
- Julian D. Olden
- Romain Julliard
- D. Richardson
- Jane Elith
- Antoine Guisan
Citations in the corpus
- The Biological Records Centre: a pioneer of citizen science (2015, background): “The citizen science literature typically refers to ‘citizens’ and ‘professionals’ as discrete groups of people (Cooper et al., 2007; Bonney et al., 2009a; Devictor et al., 2010).”
- Conservation biogeography – foundations, concepts and challenges (2010, background): “…belonging in more than one category): species distribution modelling (Franklin, 2010; Gallien et al., 2010; Scoble & Lowe, 2010); data requirements (Devictor et al., 2010; Robertson et al., 2010); approaches for assigning conservation priorities (Cadotte & Davies, 2010; Ferrier & Drielsma, 2010;…”
- Unstructured citizen science data fail to detect long‐term population declines of common birds in Denmark (2016, background): “Casual observations collected without following a structured protocol by members of the public may potentially contribute to research and conservation, and a growing number of unstructured ‘citizen science’ databases have become available in recent years (Devictor et al., 2010; Sullivan et al., 2014”
- The Homogocene: a research prospectus for the study of biotic homogenisation (2018, background): “availability of “big data” through public repositories and citizen science programmes (Devictor et al. 2010) provides new research opportunities to better understand how patterns in biotic homogenisation manifest across multiple spatial and temporal scales.”
- Understanding the Motivations and Satisfactions of Volunteers to Improve the Effectiveness of Citizen Science Programs (2015, background): “Citizen science is an approach for integrating data collection across different geographic and temporal scales with community outreach, where members of the public participate in research and monitoring programs (Bhattacharjee 2005; Couvet et al. 2008; Devictor et al. 2010).”
- Using opportunistic citizen science data to estimate avian population trends (2018, methodology): “Opportunistic data have been previously employed to effectively answer questions about species occurrence at large geographic or temporal scales (Devictor et al., 2010).”
- How to understand species’ niches and range dynamics: a demographic research agenda for biogeography (2012, background): “Citizen science projects seem highly valuable for taxa that are relatively easy to find and identify (Devictor et al., 2010).”
- The role of atmospheric conditions in the seasonal dynamics of North American migration flyways (2014, background): “Our findings provide a robust basis for population-level, full life-cycle conservation planning for migratory species, highlighting the value of citizen-science data in conservation biogeography (Devictor et al., 2010).”
- French citizens monitoring ordinary birds provide tools for conservation and ecological sciences (2012, methodology): “The same holds true when considering species richness (Jiguet et al., 2006; Devictor et al., 2010a), while the design of the count data enables to obtain estimates of species richness from capture-recapturemodels correcting the data for potential variations of detection probability among sites and…”