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Modeling the distribution of Nonggang Babbler Stachyris nonggangensis, a threatened bird of limestone karst forests of the Sino-Vietnam border, and implications for its conservation

Published online by Cambridge University Press:  25 July 2019

DEMENG JIANG ,
EBEN GOODALE ,
GANG YANG ,
LIJIANG YU ,
AIWU JIANG  and
XU LUO
DEMENG JIANG
Affiliation:
Guangxi Key Laboratory of Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, 530004, China. Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, 650224, China.
EBEN GOODALE
Affiliation:
Guangxi Key Laboratory of Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, 530004, China.
GANG YANG
Affiliation:
Guangxi Forest Inventory and Planning Institution, Nanning, 530004, China.
LIJIANG YU
Affiliation:
College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.
AIWU JIANG*
Affiliation:
Guangxi Key Laboratory of Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, 530004, China.
XU LUO*
Affiliation:
Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, 650224, China.
*
*Authors for correspondence: aiwuu@163.com;luoxu@swfu.edu.cn
*Authors for correspondence: aiwuu@163.com;luoxu@swfu.edu.cn
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Summary

Information on the geographic distribution of a species is fundamental for its conservation. Nonggang Babbler Stachyris nonggangensis (NB) is a rare and newly discovered species that is restricted to limestone karst forest on the Sino-Vietnamese border and has been classified as ‘Vulnerable’ due to its narrow distribution. However, the extent of the habitat suitable for NB is poorly known. We conducted a species distribution model (SDM) using 33 occurrence data and nine environmental variables. The SDM suggested highly suitable habitat covers 541 km2, and habitat with a medium and low level of suitability covers 3,218 km2 and 722 km2, respectively. Of the entire suitable habitat (low through high), 25.8% is in northern Vietnam and the rest is in Guangxi Zhuang Autonomous Region, southern China (especially concentrated in northern Longzhou and southern Daxing Counties). Unfortunately, only 12.4% of the entire suitable habitat is known to be occupied, and the habitat outside the reserves is highly threatened by fragmentation and degradation. Globally, NB is apparently isolated in only four sites, including one site in which we discovered its presence during field validation of the model. Based on this work, we suggest upgrading NB to the ‘Endangered’ category on the IUCN Red List and adding it to the list of endangered species of both China and Vietnam.

Type
Research Article
Information
Bird Conservation International , Volume 30 , Issue 1 , March 2020 , pp. 75 - 86
Copyright
Copyright © BirdLife International 2019 

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References

De Lima, R., Sampaio, H., Dunn, J., Cabinda, G., Fonseca, R., OquiongoG., . . . G., . . . and Buchanan, G. (2017) Distribution and habitat associations of the critically endangered bird species of São Tomé Island (Gulf of Guinea). Bird Conserv. Internatn. 27: 455–469.10.1017/S0959270916000241CrossRefGoogle Scholar
Eames, J. C. and Truong, N. V. (2016) The discovery of Nonggang Babbler (Stachyris nonggangensis) in Vietnam. Birding ASIA 26: 29–31.Google Scholar
Eduardo, P. and Jorge, M. L. (2009) Assessing the accuracy of species distribution models to predict amphibian species richness patterns. J. Anim. Ecol. 78: 182–190.Google Scholar
Elith, J. and Leathwick, J. R. (2009) Species distribution models: Ecological explanation and prediction across space and time. Annu. Rev. Ecol. Evol. Syst. 40: 677–697.10.1146/annurev.ecolsys.110308.120159CrossRefGoogle Scholar
Elith, J., Graham, C. H., Anderson, R. P., Dudik, M., Ferrier, S., Guisan, A., ...and Zimmermann, N. E. (2006) Novel methods improve prediction of species’ distributions from occurrence data. Ecography. 29: 129–151.10.1111/j.2006.0906-7590.04596.xCrossRefGoogle Scholar
Gedeon, K., Rodder, D., Zewdie, C. and Topeer, T. (2018) Evaluating the conservation status of the Black-fronted Francolin Pternistis atrifrons. Bird Conserv Internatn. 28: 653–661.10.1017/S0959270917000363CrossRefGoogle Scholar
Goodale, U. M., Stern, M. J., Margoluis, C., Lanfer, A. G. and Fladeland, M. (2003) Transboundary protected areas: The viability of regional conservation strategies. New York: Forest Products Press.Google Scholar
Guillera-Arroita, G., Lahozmonfort, J. J., Elith, J., Gordon, A., Kujala, H., Lentini, P. E., ...and Wintle, B. A. (2015) Is my species distribution model fit for purpose? Matching data and models to applications. Global. Ecol. Biogeogr. 24: 276–292.10.1111/geb.12268CrossRefGoogle Scholar
Guisan, A. and Thuiller, W. (2005) Predicting species distribution: Offering more than simple habitat models. Ecol. Lett. 8: 993–1009.10.1111/j.1461-0248.2005.00792.xCrossRefGoogle Scholar
Guisan, A., Tingley, R., Baumgartner, J. B., Naujokaitislewis, I., Sutcliffe, P., Tulloch, A. I., ...and Buckley, Y. M. (2013) Predicting species distributions for conservation decisions. Ecol. Lett. 16: 1424–1435.10.1111/ele.12189CrossRefGoogle ScholarPubMed
Hernandez, P. A., Graham, H. C., Master, L. L. and Albert, D. L. (2006) The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 29: 773–785.10.1111/j.0906-7590.2006.04700.xCrossRefGoogle Scholar
Hu, J. and Liu, Y. (2014) Unveiling the conservation biogeography of a data-deficient endangered bird species under climate change. PLoS ONE 9: e84529.CrossRefGoogle ScholarPubMed
Jiang, A., Zhou, F. and Liu, N. (2014) Significant recent ornithological records from the limestone area of south-west Guangxi, south China. Forktail 30: 122–129.Google Scholar
Jiang, A., Zhou, F., Wu, Y. and Liu, N. (2013) First breeding records of Nonggang Babbler (Stachyris nonggangensis) in a limestone area in southern China. Wilson. J. Ornithol. 125: 609–615.10.1676/12-147.1CrossRefGoogle Scholar
Li, Z., Zhou, F., Lu, Z., Jiang, A., Yang, G. and Yu, C. (2013) Distribution, habitat and status of the new species Nonggang Babbler Stachyris nonggangensis. Bird Conserv. Internatn. 23: 437–444.Google Scholar
Liu, C., Berry, P. M., Dawson, T. P. and Pearson, R. G. (2005) Selecting thresholds of occurrence in the prediction of species distributions. Ecography 28: 385–393.10.1111/j.0906-7590.2005.03957.xCrossRefGoogle Scholar
Liu, C., White, M. and Newell, G. (2013) Selecting thresholds for the prediction of species occurrence with presence-only data. J. Biogeogr. 40: 778–789.CrossRefGoogle Scholar
Moore, R. P., Robinson, W. D., Lovette, I. J. and Robinson, T. R. (2008) Experimental evidence for extreme dispersal limitation in tropical forest birds. Ecol. Lett. 11: 960–968.10.1111/j.1461-0248.2008.01196.xCrossRefGoogle ScholarPubMed
Newbold, T., Gilbert, F., Zalat, S., Elgabbas, A. and Reader, T. (2009) Climate-based models of spatial patterns of species richness in Egypt’s butterfly and mammal fauna. J. Biogeogr. 36: 2085–2095.CrossRefGoogle Scholar
Pearson, R. G., Raxworthy, C. J., Nakamura, M. and Peterson, A. T. (2006) Predicting species distributions from small numbers of occurrence records: A test case using cryptic geckos in Madagascar. J. Biogeogr. 34: 102–117.10.1111/j.1365-2699.2006.01594.xCrossRefGoogle Scholar
Phillips, S. J. (2017) A brief tutorial on MaxEnt . Available at: https://biodiversityinformatics.amnh.org/open_source/maxent/Maxent_tutorial2017.pdf. Date last accessed: August, 2018.Google Scholar
Phillips, S. J. and Dudík, M. (2008) Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31: 161–175.10.1111/j.0906-7590.2008.5203.xCrossRefGoogle Scholar
Phillips, S. J., Anderson, R. P. and Schapire, R. E. (2006) Maximum entropy modeling of species geographic distributions. Ecol. Model. 190: 231–259.CrossRefGoogle Scholar
Pulliam, H. R. (1988) Sources, sinks, and population regulation. Am. Nat. 132: 652–661.CrossRefGoogle Scholar
Pulliam, H. R. (2000) On the relationship between niche and distribution. Ecol. Lett. 3: 349–361.10.1046/j.1461-0248.2000.00143.xCrossRefGoogle Scholar
Stockwell, D. R. B. and Peterson, A. T. (2002) Effects of sample size on accuracy of species distribution models. Ecol. Model. 148: 1–13.CrossRefGoogle Scholar
Vetaas, O. R. (2002) Realized and potential climate niches: A comparison of four Rhododendron tree species. J. Biogeogr. 29: 545–554.CrossRefGoogle Scholar
Walther, B. A., Schaffer, N., Van Niekerk, A., Thuiller, W., Rahbek, C. and Chown, S. L. (2007) Modeling the winter distribution of a rare and endangered migrant, the Aquatic Warbler Acrocephalus paludicola. Ibis 149: 701–714.CrossRefGoogle Scholar
Wisz, M. S., Hijmans, R. J., Li, J., Peterson, A. T., Graham, C. H. and Guisan, A. (2008) Effects of sample size on the performance of species distribution models. Divers. Distrib. 14: 763–773.10.1111/j.1472-4642.2008.00482.xCrossRefGoogle Scholar
Yang, G., Lu, Z., Yu, C., Jiang, A, Meng, Y. and Zhou, F. (2012) Seasonal feeding site selection of the Nonggang Babbler (Stachyris nonggangensis) in Nonggang, Guangxi, China. Zool Res. 33: 433–438 (in Chinese with English abstract).10.3724/SP.J.1141.2012.05433CrossRefGoogle ScholarPubMed
Zhou, F. and Jiang, A. (2008) A new species of babbler (Timaliidae: Stachyris) from the Sino-Vietnamese border region of China. Auk 125: 420–424.Google Scholar
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