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Background

Citizen science has tremendous potential in advancing scientific knowledge and improving natural resource management. To detect the wintering distribution of the endangered species Scaly-sided Merganser (Mergus squamatus), national wintering surveys were organized by China Birdwatching Association.

Methods

The surveys of M. squamatus were conducted in three successive winters from 2014 to 2016. A total of 2019 people from 102 organizations participated in the surveys. With three groups of 13 environmental variables, species distribution model for its wintering distribution of each year was developed using random forest. Schoener's D index was used to compare the distribution of M. squamatus in 3 years.

Results

Totally, 441, 634 and 1138 individuals of M. squamatus were recorded in 2014, 2015 and 2016 respectively. Two main sites in Dabie Mountain and East Qinling mountains were verified and the wintering range of M. squamatus was defined. The wintering range was found to be highly identical for the 3 years.

Conclusions

The highly overlapped distribution range among years suggested that the wintering range of M. squamatus was relatively stable. Well organized and coordinated citizen science can be used to define distribution range and improve species conservation.


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Contribution of citizen science towards cryptic species census: "many eyes" define wintering range of the Scaly-sided Merganser in mainland China

Show Author's information Qing Zeng1Qian Wei2Guangchun Lei1( )
School of Nature Conservation, Beijing Forestry University, Beijing, China
China Birdwatching Association, Chengdu, China Keywords

Abstract

Background

Citizen science has tremendous potential in advancing scientific knowledge and improving natural resource management. To detect the wintering distribution of the endangered species Scaly-sided Merganser (Mergus squamatus), national wintering surveys were organized by China Birdwatching Association.

Methods

The surveys of M. squamatus were conducted in three successive winters from 2014 to 2016. A total of 2019 people from 102 organizations participated in the surveys. With three groups of 13 environmental variables, species distribution model for its wintering distribution of each year was developed using random forest. Schoener's D index was used to compare the distribution of M. squamatus in 3 years.

Results

Totally, 441, 634 and 1138 individuals of M. squamatus were recorded in 2014, 2015 and 2016 respectively. Two main sites in Dabie Mountain and East Qinling mountains were verified and the wintering range of M. squamatus was defined. The wintering range was found to be highly identical for the 3 years.

Conclusions

The highly overlapped distribution range among years suggested that the wintering range of M. squamatus was relatively stable. Well organized and coordinated citizen science can be used to define distribution range and improve species conservation.

Keywords: Random forest, Citizen science, Wintering distribution, Mergus squamatus

References(53)

Barter M, Zhuang X, Wang X, Cao L, Lei J, Solovyeva D, Fox AD. Abundance and distribution of wintering Scaly-sided Mergansers Mergus squamatus in China: where are the missing birds? Bird Conserv Int. 2014;2014(24):406–15.

Bois ST, Silander JA Jr, Mehrhoff LJ. Invasive plant atlas of New England: the role of citizens in the science of invasive alien species detection. Bioscience. 2011;61:763–70.

Bonney R, Cooper CB, Dickinson J, Kelling S, Phillips T, Rosenberg KV, Shirk J. Citizen science: a developing tool for expanding science knowledge and scientific literacy. Bioscience. 2009;59:977–84.

Bonter DN, Harvey MG. Winter survey data reveal rangewide decline in Evening Grosbeak populations. Condor. 2008;110:376–81.

Breiman L. Statistical modeling: the two cultures (with comments and a rejoinder by the author). Stat Sci. 2001;16:199–231.

Chandler M, See L, Copas K, Bonde AM, López BC, Danielsen F, Legind JK, Masinde S, Miller-Rushing AJ, Newman G. Contribution of citizen science towards international biodiversity monitoring. Biol Conserv. 2017;213:280–94.

Conway CJ. Standardized North American marsh bird monitoring protocol. Waterbirds. 2011;34:319–46.

Conway CJ, Timmermans ST. Progress toward developing field protocols for a North American marshbird monitoring program. In: Ralph CJ, Rich TD, editors. Bird conservation implementation and integration in the Americas: proceedings of the third international partners in flight conference. Albany, California: US Department of Agriculture Forest Service; 2005. pp. 997–1005.

Danielsen F, Jensen PM, Burgess ND, Altamirano R, Alviola PA, Andrianandrasana H, Brashares JS, Burton AC, Coronado I, Corpuz N. A multicountry assessment of tropical resource monitoring by local communities. Bioscience. 2014;64:236–51.

Dickinson JL, Shirk J, Bonter D, Bonney R, Crain RL, Martin J, Phillips T, Purcell K. The current state of citizen science as a tool for ecological research and public engagement. Front Ecol Environ. 2012;10:291–7.

EAAFP (East Asian-Australasian Flyway Patnership). Scaly-sided Merganser task force. 2015. http://www.eaaflyway.net/our-activities/task-forces/scaly-sided-merganser. Accessed 20 Apr 2015.

Elith J, Leathwick JR. Species distribution models: ecological explanation and prediction across space and time. Annu Rev Ecol Evol Syst. 2009;40:677–97.

Flather CH, Sauer JR. Using landscape ecology to test hypotheses about large-scale abundance patterns in migratory birds. Ecology. 1996;77:28–35.

Friedl MA, McIver DK, Hodges JC, Zhang X, Muchoney D, Strahler AH, Woodcock CE, Gopal S, Schneider A, Cooper A. Global land cover mapping from MODIS: algorithms and early results. Remote Sens Environ. 2002;83:287–302.

Grömping U. Variable importance assessment in regression: linear regression versus random forest. Am Stat. 2009;63:308–19.

Hand E. People power. Nature. 2010;466:685–7.

He F, Lin J, Yang B, Jiang H, Zhang H. Current distribution and status of the wintering Scaly-sided Merganser Mergus squamatus in China. Chin J Zool. 2006;41:52–6 (in Chinese).

He F, Melville D, Gui X, Hong Y, Liu Z. Status of the Scaly-sided Merganser wintering in mainland China in the 1990s. Waterbirds. 2002;25:462–4.

Hijmans R, Phillips S, Leathwick J. Elith J. dismo: species distribution modeling. R package version 0.9-3. 2015. http://CRAN.R-project.org/package=dismo. Accessed 12 Mar 2015.
Hijmans RJ, Van Etten J. raster: geographic data analysis and modeling. R package version 2.2-31. 2014. http://CRAN.R-project.org/package=raster. Accessed 15 Mar 2014.

Hochachka WM, Fink D, Hutchinson RA, Sheldon D, Wong W-K, Kelling S. Data-intensive science applied to broad-scale citizen science. Trends Ecol Evol. 2012;27:130–7.

Hu R, Wen C, Gu Y, Wang H, Gu L, Shi X, Zhong J, Wei M, He F, Lu Z. A bird's view of new conservation hotspots in China. Biol Conserv. 2017;211:47–55.

IUCN. Mergus squamatus. 2017. http://www.iucnredlist.org/details/22680488/0. Accessed 1 Dec 2017.

Kelling S, Hochachka WM, Fink D, Riedewald M, Caruana R, Ballard G, Hooker G. Data intensive science: a new paradigm for biodiversity studies. Bioscience. 2009;59:613–20.

Kendall WL, Peterjohn BG, Sauer JR. First-time observer effects in the North American breeding bird survey. Auk. 1996;113:823–9.

Landis JR, Koch GG. An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers. Biometrics. 1977;33:363–74.

Liaw A, Wiener M. Classification and regression by randomForest. R News. 2002;2:18–22.

Liu D, Li C, Zhang G, Lu J, Chen G. Satellite tracking of Scaly-sided Merganser (Mergus squamatus) breeding in Lesser Xingan Mountains, China. Waterbirds. 2014;37:432–8.

Losey JE, Perlman JE, Hoebeke ER. Citizen scientist rediscovers rare nine-spotted lady beetle, Coccinella novemnotata, in eastern North America. J Insect Conserv. 2007;11:415–7.

Ma Z, Cheng Y, Wang J, Fu X. The rapid development of birdwatching in mainland China: a new force for bird study and conservation. Bird Conserv Int. 2013;23:259–69.

McKinley DC, Miller-Rushing AJ, Ballard HL, Bonney R, Brown H, Cook-Patton SC, Evans DM, French RA, Parrish JK, Phillips TB. Citizen science can improve conservation science, natural resource management, and environmental protection. Biol Conserv. 2017;208:15–28.

Merow C, Wilson AM, Jetz W. Integrating occurrence data and expert maps for improved species range predictions. Glob Ecol Biogeogr. 2017;26:243–58.

Munson MA, Caruana R, Fink D, Hochachka WM, Iliff M, Rosenberg KV, Sheldon D, Sullivan BL, Wood C, Kelling S. A method for measuring the relative information content of data from different monitoring protocols. Methods Ecol Evol. 2010;1:263–73.

Oliveira S, Oehler F, San-Miguel-Ayanz J, Camia A, Pereira JM. Modeling spatial patterns of fire occurrence in mediterranean Europe using multiple regression and random forest. For Ecol Manag. 2012;275:117–29.

Pearce J, Ferrier S. Evaluating the predictive performance of habitat models developed using logistic regression. Ecol Model. 2000;133:225–45.

R Development Core Team. The R project for statistical computing. 2016. https://www.r-project.org. Accessed 12 Dec 2012.

Rödder D, Engler J. Quantitative metrics of overlaps in Grinnellian niches: advances and possible drawbacks. Glob Ecol Biogeogr. 2011;20:915–27.

Sauer JR, Link WA, Fallon JE, Pardieck KL, Ziolkowski DJ Jr. The North American breeding bird survey 1966–2011: summary analysis and species accounts. N Am Fauna. 2013;79:1–32.

Sauer JR, Peterjohn BG, Link WA. Observer differences in the North American breeding bird survey. Auk. 1994;111:50–62.

Schoener TW. The Anolis lizards of Bimini: resource partitioning in a complex fauna. Ecology. 1968;49:704–26.

Siroky DS. Navigating random forests and related advances in algorithmic modeling. Stat Surv. 2009;3:147–63.

Solovyeva DV, Afanasiev V, Fox JW, Shokhrin V, Fox AD. Use of geolocators reveals previously unknown Chinese and Korean scaly-sided merganser wintering sites. Endanger Species Res. 2012;17:217–25.

Solovyeva DV, Liu P, Antonov AI, Averin AA, Pronkevich VV, Shokhrin VP, Vartanyan SL, Cranswick PA. The population size and breeding range of the Scaly-sided Merganser Mergus squamatus. Bird Conserv Int. 2014;24:393–405.

Szabo JK, Fuller RA, Possingham HP. A comparison of estimates of relative abundance from a weakly structured mass-participation bird atlas survey and a robustly designed monitoring scheme. Ibis. 2012;154:468–79.

VanDerWal J, Falconi L, Januchowski S, Shoo L, Storlie C. Package SDMTools—species distributionn modelling tools: tools for processing data associated with species distribution modeling exercises. Version 1.1-221. CRAN; 2014.

Walker J, Taylor P. Using eBird data to model population change of migratory bird species. Avian Conserv Ecol. 2017;12:4.

Weir LA, Royle JA, Nanjappa P, Jung RE. Modeling anuran detection and site occupancy on North American amphibian monitoring program (NAAMP) routes in Maryland. J Herpetol. 2005;39:627–39.

Wen L, Saintilan N, Yang X, Hunter S, Mawer D. MODIS NDVI based metrics improve habitat suitability modelling in fragmented patchy floodplains. Remote Sens Appl Soc Environ. 2015;1:85–97.

Wetlands International. Waterbird population estimates. 2017. https://www.wetlands.org/resources. Accessed 15 Dec 2017.

Wood C, Sullivan B, Iliff M, Fink D, Kelling S. eBird: engaging birders in science and conservation. PLoS Biol. 2011;9:e1001220.

Zeng Q, Lu C, Li G, Guo Z, Wen L, Lei G. Impact of a dam on wintering waterbirds' habitat use. Environ Conserv. 2017. https://doi.org/10.1017/S037689291700040.

Zeng Q, Shi L, Wen L, Chen J, Duo H, Lei G. Gravel bars can be critical for biodiversity conservation: a case study on Scaly-sided Merganser in South China. PLoS ONE. 2015a;10:e0127387.

Zeng Q, Zhang Y, Sun G, Duo H, Wen L, Lei G. Using species distribution model to estimate the wintering population size of the endangered Scaly-sided Merganser in China. PLoS ONE. 2015b;10:e0117307.

Publication history
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Publication history

Received: 06 January 2018
Accepted: 07 February 2018
Published: 26 February 2018
Issue date: January 2018

Copyright

© The Author(s) 2018.

Acknowledgements

Acknowledgements

We would like to thank all the volunteers for their input concerning the 3-year surveys. We are also grateful to Dr. Wen Li from the Office of Environment and Heritage, NSW and Dr. Taej Mundkur from Wetlands International for their valuable comments.

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This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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