Realising the full potential of citizen science monitoring programs

Citizen science is on the rise. Aided by the internet, the popularity and scope of citizen science appears almost limitless. For citizens the motivation is to contribute to “real” science, public information and conservation. For scientists, citizen science offers a way to collect information that would otherwise not be affordable. The longest running and largest of these citizen science programs are broad-scale bird monitoring projects. There are two basic types of protocols possible: (a) cross-sectional schemes such as Atlases – collections of surveys of many species contributed by volunteers over a set period of time, and (b) longitudinal schemes such as Breeding Bird Surveys (BBS) – on-going stratified monitoring of sites that require more coordination. We review recent applications of these citizen science programs to determine their influence in the scientific literature. We use return-on-investment thinking to identify the minimum investment needed for different citizen science programs, and the point at which investing more in citizen science programs has diminishing benefits. Atlas and BBS datasets are used to achieve different objectives, with more knowledge-focused applications for Atlases compared with more management applications for BBS. Estimates of volunteer investment in these datasets show that compared to cross-sectional schemes, longitudinal schemes are more cost-effective, with increased BBS investment correlated with more applications, which have higher impact in the scientific literature, as measured by citation rates. This is most likely because BBS focus on measuring change, allowing the impact of management and policy to be quantified. To ensure both types of data are used to their full potential we recommend the following: elements of BBS protocols (fixed sites, long-term monitoring) are incorporated into Atlases; regional coordinators are in place to maintain data quality; communication between researchers and the organisations coordinating volunteer monitoring is enhanced, with monitoring targeted to meet specific needs and objectives; application of data to under-explored objectives is encouraged, and data are made freely and easily accessible.

[1]  Hugh P. Possingham,et al.  The conservation return on investment from ecological monitoring , 2012 .

[2]  Hugh P Possingham,et al.  Analyzing Variability and the Rate of Decline of Migratory Shorebirds in Moreton Bay, Australia , 2011, Conservation biology : the journal of the Society for Conservation Biology.

[3]  M. Luoto,et al.  The role of land cover in bioclimatic models depends on spatial resolution , 2006 .

[4]  David N. Bonter,et al.  Citizen Science as an Ecological Research Tool: Challenges and Benefits , 2010 .

[5]  SCOTT A. FIELD,et al.  OPTIMIZING ALLOCATION OF MONITORING EFFORT UNDER ECONOMIC AND OBSERVATIONAL CONSTRAINTS , 2005 .

[6]  Mathieu Rouget,et al.  Measuring conservation value at fine and broad scales: implications for a diverse and fragmented region, the Agulhas Plain , 2003 .

[7]  David R. Anderson,et al.  Model selection and multimodel inference : a practical information-theoretic approach , 2003 .

[8]  David Storch,et al.  The species-area-energy relationship. , 2005, Ecology letters.

[9]  Frédéric Jiguet,et al.  Balancing state and volunteer investment in biodiversity monitoring for the implementation of CBD indicators: A French example , 2010 .

[10]  A. Gimona,et al.  Opening the climate envelope reveals no macroscale associations with climate in European birds , 2008, Proceedings of the National Academy of Sciences.

[11]  Brian J. McGill,et al.  Can niche-based distribution models outperform spatial interpolation? , 2007 .

[12]  I. Chades,et al.  General rules for managing and surveying networks of pests, diseases, and endangered species , 2011, Proceedings of the National Academy of Sciences.

[13]  David B. Lindenmayer,et al.  The science and application of ecological monitoring , 2010 .

[14]  Denis Couvet,et al.  Modeling Spatial Trends in Estimated Species Richness using Breeding Bird Survey Data: A Valuable Tool in Biodiversity Assessment , 2005, Biodiversity & Conservation.

[15]  William K. Reisen,et al.  Early Impact of West Nile Virus on the Yellow-Billed Magpie (Pica Nuttalli) , 2008 .

[16]  Wilfried Thuiller,et al.  Consequences of climate change on the tree of life in Europe , 2011, Nature.

[17]  S. Reddy,et al.  Geographical sampling bias and its implications for conservation priorities in Africa , 2003 .

[18]  Dirk S. Schmeller,et al.  Bird-monitoring in Europe – a first overview of practices, motivations and aims , 2012 .

[19]  Laszlo Nagy,et al.  Why most conservation monitoring is, but need not be, a waste of time. , 2006, Journal of environmental management.

[20]  Michael A. Weston,et al.  A review of terrestrial bird atlases of the world and their application , 2008 .

[21]  H. Possingham,et al.  To boldly go where no volunteer has gone before: predicting volunteer activity to prioritize surveys at the landscape scale , 2013 .

[22]  Jeremy J. D. Greenwood,et al.  Citizens, science and bird conservation , 2007, Journal of Ornithology.

[23]  Ikuko Fujisaki,et al.  Detecting population decline of birds using long-term monitoring data , 2008, Population Ecology.

[24]  W. F. Porter,et al.  Poleward shifts in breeding bird distributions in New York State , 2009 .

[25]  E. McNie.  Reconciling the supply of scientific information with user demands: an analysis of the problem and review of the literature , 2007 .

[26]  Brian L. Sullivan,et al.  eBird: A citizen-based bird observation network in the biological sciences , 2009 .

[27]  Steve Kelling,et al.  A method for measuring the relative information content of data from different monitoring protocols , 2010 .

[28]  H. Possingham,et al.  Monitoring does not always count. , 2010, Trends in ecology & evolution.

[29]  Charles M. Francis,et al.  Population trend status of Ontario’s forest birds , 2009 .

[30]  Richard M Cowling,et al.  Mapping Human and Social Dimensions of Conservation Opportunity for the Scheduling of Conservation Action on Private Land , 2010, Conservation biology : the journal of the Society for Conservation Biology.

[31]  Paul A Prior,et al.  Bird Identification as a Family of Activities: Motives, Mediating Artifacts, and Laminated Assemblages , 2011 .

[32]  Michael A. Weston,et al.  A Survey of Contributors to an Australian Bird Atlassing Project: Demography, Skills and Motivation , 2006 .

[33]  Henrik Andrén,et al.  Survey method choice for wildlife management: the case of moose Alces alces in Sweden , 2011 .

[34]  J. Nichols,et al.  Monitoring for conservation. , 2006, Trends in ecology & evolution.

[35]  Robert L. Pressey,et al.  A mismatch of scales: challenges in planning for implementation of marine protected areas in the Coral Triangle , 2010 .

[36]  Len Thomas,et al.  Monitoring Long‐Term Population Change: Why are there so Many Analysis Methods? , 1996 .

[37]  David J. Mladenoff,et al.  One Hundred Fifty Years of Change in Forest Bird Breeding Habitat: Estimates of Species Distributions , 2005 .

[38]  S. T. Buckland,et al.  Monitoring change in biodiversity through composite indices , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.

[39]  Herbert Tushabe,et al.  Bird atlases – how useful are they for conservation? , 2008, Bird Conservation International.

[40]  D. Gibbons,et al.  Mapping avian distributions: the evolution of bird atlases , 2007 .

[41]  Dana C. Thomsen,et al.  Community-based research: facilitating sustainability learning , 2008 .

[42]  Emma Marris.  Birds flock online , 2010 .

[43]  Nick Salafsky,et al.  Allocating Resources Between Taking Action, Assessing Status, and Measuring Effectiveness of Conservation Actions , 2006 .

[44]  Wilfried Thuiller,et al.  Reopening the climate envelope reveals macroscale associations with climate in European birds , 2009, Proceedings of the National Academy of Sciences.

[45]  Susan Clayton,et al.  Conservation Psychology: Understanding and Promoting Human Care for Nature , 2009 .

[46]  Hugh P. Possingham,et al.  A comparison of estimates of relative abundance from a weakly structured mass-participation bird atlas survey and a robustly designed monitoring scheme , 2012 .

[47]  J. Cohn.  Citizen Science: Can Volunteers Do Real Research? , 2008 .

[48]  S. Freeman,et al.  Modelling population changes using data from different surveys: the Common Birds Census and the Breeding Bird Survey , 2007 .

[49]  Hugh P Possingham,et al.  Regional avian species declines estimated from volunteer-collected long-term data using List Length Analysis. , 2010, Ecological applications : a publication of the Ecological Society of America.

[50]  B. Erasmus,et al.  Geographic sampling bias in the South African Frog Atlas Project: implications for conservation planning , 2010, Biodiversity and Conservation.

[51]  J. Andrew Royle,et al.  Modelling occurrence and abundance of species when detection is imperfect , 2005 .

[52]  R. Dennis,et al.  Bias in Butterfly Distribution Maps: The Influence of Hot Spots and Recorder's Home Range , 2000, Journal of Insect Conservation.

[53]  W. Link,et al.  Combining Breeding Bird Survey and Christmas Bird Count Data to Evaluate Seasonal Components of Population Change in Northern Bobwhite , 2008 .

[54]  Lisa Norton,et al.  The role of 'Big Society' in monitoring the state of the natural environment. , 2011, Journal of environmental monitoring : JEM.

[55]  F. Jiguet,et al.  Birds are tracking climate warming, but not fast enough , 2008, Proceedings of the Royal Society B: Biological Sciences.

[56]  J. Andrew Royle,et al.  Hierarchical Bayes estimation of species richness and occupancy in spatially replicated surveys , 2008 .

[57]  Brendan A Wintle,et al.  Allocating monitoring effort in the face of unknown unknowns. , 2010, Ecology letters.

[58]  Eric F. Lambin,et al.  Variability in Energy Influences Avian Distribution Patterns Across the USA , 2008, Ecosystems.

[59]  Timothy G. O’Connor,et al.  Effective Ecological Monitoring , 2011 .

[60]  Miguel B. Araújo,et al.  Geographical gradients of species richness: a test of the water‐energy conjecture of Hawkins et al. (2003) using European data for five taxa , 2006 .

[61]  Les G. Underhill,et al.  THE ROLE OF LARGE-SCALE DATA COLLECTION PROJECTS IN THE STUDY OF SOUTHERN AFRICAN BIRDS , 1991 .

[62]  R. Pielke,et al.  The neglected heart of science policy: reconciling supply of and demand for science , 2007 .

[63]  R. Jordan,et al.  Knowledge Gain and Behavioral Change in Citizen‐Science Programs , 2011, Conservation biology : the journal of the Society for Conservation Biology.

[64]  Ayesha I. T. Tulloch,et al.  A behavioural ecology approach to understand volunteer surveying for citizen science datasets , 2012 .

[65]  B. Crona,et al.  The role of social networks in natural resource governance: What relational patterns make a difference? , 2009 .

[66]  F. Jiguet,et al.  Differences in the climatic debts of birds and butterflies at a continental scale , 2012 .

[67]  Paul H. Williams,et al.  Downscaling European species atlas distributions to a finer resolution: implications for conservation planning , 2005 .

[68]  H. Esselink,et al.  Scale-dependent homogenization: changes in breeding bird diversity in the Netherlands over a 25-year period , 2007 .

[69]  Subhash R Lele,et al.  Sampling variability and estimates of density dependence: a composite-likelihood approach. , 2006, Ecology.

[70]  Mark P. Robertson,et al.  Getting the most out of atlas data , 2010 .

[71]  Clare E. Hawkins,et al.  Emerging disease and population decline of an island endemic, the Tasmanian devil Sarcophilus harrisii , 2006 .

[72]  Kevin J. Gaston,et al.  The value of species rarity in biodiversity recreation: A birdwatching example , 2011 .

[73]  Sergi Herrando,et al.  Updating bird species distribution at large spatial scales: applications of habitat modelling to data from long‐term monitoring programs , 2007 .

[74]  P. Marra,et al.  West Nile virus emergence and large-scale declines of North American bird populations , 2007, Nature.

[75]  R. Fuller,et al.  Ornithological atlas data: a review of uses and limitations , 1998 .