Modeling impacts of climate change on the potential distribution of six endemic baobab species in Madagascar

doi:10.1016/j.pld.2020.07.001

Plant Diversity ›› 2021, Vol. 43 ›› Issue (02): 117-124.DOI: 10.1016/j.pld.2020.07.001

Modeling impacts of climate change on the potential distribution of six endemic baobab species in Madagascar

Jun-Nan Wan^a,d, Ndungu J. Mbari^a,c, Sheng-Wei Wang^a,c, Bing Liu^b,d, Brian N. Mwangi^a,c, Jean R. E. Rasoarahona^e, Hai-Ping Xin^a,d, Ya-Dong Zhou^a,d, Qing-Feng Wang^a,d

a Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, 430074, PR China
b State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, PR China
c University of Chinese Academy of Sciences, Beijing, 100049, PR China
d Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, Hubei, 430074, PR China
e High School of Agricultural Sciences, University of Antananarivo, P.O. Box 175, Madagascar

收稿日期:2020-01-14 修回日期:2020-07-07 出版日期:2021-04-25 发布日期:2021-05-20
通讯作者: Ya-Dong Zhou, Qing-Feng Wang
基金资助:
This study was supported by the funds from Sino-Africa Joint Research Center, CAS, China (Y323771W07 and SAJC201322) and National Natural Science Foundation of China (31800176).

Modeling impacts of climate change on the potential distribution of six endemic baobab species in Madagascar

Jun-Nan Wan^a,d, Ndungu J. Mbari^a,c, Sheng-Wei Wang^a,c, Bing Liu^b,d, Brian N. Mwangi^a,c, Jean R. E. Rasoarahona^e, Hai-Ping Xin^a,d, Ya-Dong Zhou^a,d, Qing-Feng Wang^a,d

a Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, 430074, PR China
b State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, PR China
c University of Chinese Academy of Sciences, Beijing, 100049, PR China
d Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, Hubei, 430074, PR China
e High School of Agricultural Sciences, University of Antananarivo, P.O. Box 175, Madagascar

Received:2020-01-14 Revised:2020-07-07 Online:2021-04-25 Published:2021-05-20
Contact: Ya-Dong Zhou, Qing-Feng Wang
Supported by:
This study was supported by the funds from Sino-Africa Joint Research Center, CAS, China (Y323771W07 and SAJC201322) and National Natural Science Foundation of China (31800176).

摘要/Abstract

摘要： Madagascar, a globally renowned biodiversity hotspot characterized by high rates of endemism, is one of the few remaining refugia for many plants and animal species. However, global climate change has greatly affected the natural ecosystem and endemic species living in Madagascar, and will likely continue to influence species distribution in the future. Madagascar is home to six endemic baobab (Adansonia spp., Bombacoideae [Malvaceae]) species (Adansonia grandidieri, A. suarezensis, A. madagascariensis, A. perrieri, A. rubrostipa, A. za), which are remarkable and endangered plants. This study aimed to model the current distribution of suitable habitat for each baobab species endemic to Madagascar and determine the effect that climate change will have on suitable baobab habitat by the years 2050 and 2070. The distribution was modeled using MaxEnt based on locality information of 245 occurrence sites of six species from both online database and our own field work. A total of seven climatic variables were used for the modeling process. The present distribution of all six Madagascar's baobabs was largely influenced by temperature-related factors. Although both expansion and contraction of suitable habitat are predicted for all species, loss of original suitable habitat is predicted to be extensive. For the most widespread Madagascar baobab, A. za, more than 40% of its original habitat is predicted to be lost because of climate change. Based on these findings, we recommend that areas predicted to contract in response to climate change should be designated key protection regions for baobab conservation.

关键词: Madagascar, Adansonia, Climate change, MaxEnt, Potential distribution

Abstract: Madagascar, a globally renowned biodiversity hotspot characterized by high rates of endemism, is one of the few remaining refugia for many plants and animal species. However, global climate change has greatly affected the natural ecosystem and endemic species living in Madagascar, and will likely continue to influence species distribution in the future. Madagascar is home to six endemic baobab (Adansonia spp., Bombacoideae [Malvaceae]) species (Adansonia grandidieri, A. suarezensis, A. madagascariensis, A. perrieri, A. rubrostipa, A. za), which are remarkable and endangered plants. This study aimed to model the current distribution of suitable habitat for each baobab species endemic to Madagascar and determine the effect that climate change will have on suitable baobab habitat by the years 2050 and 2070. The distribution was modeled using MaxEnt based on locality information of 245 occurrence sites of six species from both online database and our own field work. A total of seven climatic variables were used for the modeling process. The present distribution of all six Madagascar's baobabs was largely influenced by temperature-related factors. Although both expansion and contraction of suitable habitat are predicted for all species, loss of original suitable habitat is predicted to be extensive. For the most widespread Madagascar baobab, A. za, more than 40% of its original habitat is predicted to be lost because of climate change. Based on these findings, we recommend that areas predicted to contract in response to climate change should be designated key protection regions for baobab conservation.

Key words: Madagascar, Adansonia, Climate change, MaxEnt, Potential distribution

Jun-Nan Wan, Ndungu J. Mbari, Sheng-Wei Wang, Bing Liu, Brian N. Mwangi, Jean R. E. Rasoarahona, Hai-Ping Xin, Ya-Dong Zhou, Qing-Feng Wang. Modeling impacts of climate change on the potential distribution of six endemic baobab species in Madagascar[J]. Plant Diversity, 2021, 43(02): 117-124.

参考文献

Allouche, O., Tsoar, A., Kadmon, R., 2006. Assessing the accuracy of species distribution models:prevalence, kappa and the true skill statistic (TSS). J. Appl. Ecol. 43, 1223-1232. https://doi.org/10.2307/4123815.
Archer, E.R.M., Landman, W.A., Tadross, M.A., et al., 2017. Understanding the evolution of the 2014-2016 summer rainfall seasons in southern Africa:key lessons. Clim. Risk Manag. 16, 22-28. https://doi.org/10.1016/j.crm.2017.03.006.
Baum, D.A., 1996. The ecology and conservation of the baobabs of Madagascar. Prim.Rep. 46, 311-327.
Baumgartner, J.B., Esperón-Rodríguez, M., Beaumont, L.J., 2018. Identifying in situ climate refugia for plant species. Ecography 41, 1850-1863. https://doi.org/10.1111/ecog.03431.
Bell, K.L., Rangan, H., Kull, C.A., et al., 2015. The history of introduction of the African baobab (Adansonia digitata, Malvaceae:Bombacoideae) in the Indian subcontinent. R. Soc. Open Sci. 2, 150370. https://doi.org/10.1098/rsos.150370.
Berger, C., Bieri, M., Bradshaw, K., 2019. Linking scales and disciplines:an interdisciplinary cross-scale approach to supporting climate-relevant ecosystem management. Clim. Change 156, 139-150. https://doi.org/10.1007/s10584-019-02544-0.
Bio, A.M.F., de Becker, P., de Bie, E., et al., 2002. Prediction of plant species distribution in lowland river valleys in Belgium:modelling species response to site conditions. Biodivers. Conserv. 11, 2189-2216. https://doi.org/10.1023/A:1021346712677.
Blach-Overgaard, A., Svenning, J.C., Dransfield, J., et al., 2010. Determinants of palm species distributions across africa:the relative roles of climate, non-climatic environmental factors, and spatial constraints. Ecography 33, 380-391.https://doi.org/10.1111/j.1600-0587.2010.06273.x.
Boria, R.A., Olson, L.E., Goodman, S.M., et al., 2014. Spatial filtering to reduce sampling bias can improve the performance of ecological niche models. Ecol.Model. 275, 73-77. https://doi.org/10.1016/j.ecolmodel.2013.12.012.
Carneiro, L., Lima, A., Machado, R., et al., 2016. Limitations to the use of speciesdistribution models for environmental-impact assessments in the Amazon.PLoS One 11. https://doi.org/10.1371/journal.pone.0146543e0146543.
Chaturvedi, R.K., Raghubanshi, A.S., Singh, J.S., 2011. Plant functional traits with particular reference to tropical deciduous forests:a review. J. Biosci. 36, 963-981. https://doi.org/10.1007/s12038-011-9159-1.
Cron, G.V., Karimi, N., Glennon, K.L., et al., 2016. One African baobab species or two? A re-evaluation of Adansonia kilima. South Afr. J. Bot. 103, 312. https://doi.org/10.1016/j.sajb.2016.02.036.
Douie, C., Whitaker, J., Grundy, I., 2015. Verifying the presence of the newly discovered African baobab, Adansonia kilima, in Zimbabwe through morphological analysis. South Afr. J. Bot. 100, 164-168. https://doi.org/10.1016/j.sajb.2015.05.025.
Ebenman, B., Jonsson, T., 2005. Using community viability analysis to identify fragile systems and keystone species. Trends Ecol. Evol. 20, 568-575. https://doi.org/10.1016/j.tree.2005.06.011.
Ellison, A.M., Elliott, K., Kloeppel, B.D., et al., 2005. Loss of foundation species:consequences for the structure and dynamics of forested ecosystems. Front. Ecol. Environ. 3, 479-486. https://doi.org/10.2307/3868635.
Ervin, G.N., Holly, D.C., 2011. Examining local transferability of predictive species distribution models for invasive plants:an example with Cogongrass (Imperata cylindrica). Invasive Plant Sci. Manag. 4, 390-401.
Feng, J.M., 2008. Spatial patterns of species diversity of seed plants in China and their climatic explanation. Biodivers. Sci. 16, 470-476.
Fišer, C., Delić, T., Luštrik, R., et al., 2019. Niches within a niche:ecological differentiation of subterranean amphipods across Europe's interstitial waters. Ecography 42, 1212-1223. https://doi.org/10.1111/ecog.03983.
Fourcade, Y., 2016. Comparing species distributions modeled from occurrence data and from expert-based range maps. The implication for predicting range shifts with climate change. Ecol. Inf. 36, 8-14. https://doi.org/10.1016/j.ecoinf.2016.09.002.
Giannini, T.C., Saraiva, A.M., Alves-Dos-Santos, I., 2010. Ecological niche modeling and geographical distribution of pollinator and plants:a case study of Peponapis fervens (Smith, 1879) (Eucerini:Apidae) and Cucurbita species (Cucurbitaceae).Ecol. Inf. 5, 59-66. https://doi.org/10.1016/j.ecoinf.2009.09.003.
Guisan, A., Thuiller, W., 2005. Predicting species distribution:offering more than simple habitat models. Ecol. Lett. 8, 993-1009. https://doi.org/10.1111/j.1461-0248.2005.00792.x.
Huang, J., Yu, H., Dai, A., et al., 2017. Drylands face potential threat under 2 ℃ global warming target. Nat. Clim. Change 7, 417-422. https://doi.org/10.1038/nclimate3275.
Ingram, J.C., Dawson, T.P., 2005. Climate change impacts and vegetation response on the island of Madagascar. Phil. Trans. R. Soc. A. 363, 55-59. https://doi.org/10.1098/rsta.2004.1476.
IPCC, 2014. Climate Change 2014:Synthesis Report. Contribution of Working Groups I, Ⅱ and Ⅲ to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change.
IUCN, 2020. IUCN red list of threatened species. Version 2020.1. https://www.iucnredlist.org.
Jarnevich, C.S., Stohlgren, T.J., Kumar, S., et al., 2015. Caveats for correlative species distribution modeling. Ecol. Inf. 29, 6-15. https://doi.org/10.1016/j.ecoinf.2015.06.007.
Kreft, H., Sommer, J.H., Barthlott, W., 2006. The significance of geographic range size for spatial diversity patterns in Neotropical palms. Ecography 29, 21-30.https://doi.org/10.2307/3683492.
Kumar, P., 2012. Assessment of the impact of climate change on Rhododendrons in Sikkim Himalayas using MaxEnt modeling:limitations and challenges. Biodivers. Conserv. 21, 1251-1266. https://doi.org/10.1007/s10531-012-0279-1.
Kumar, S., Stohlgren, T.J., 2009. MaxEnt Modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia.J. Ecol. Nat. Environ. 1, 94-98.
Lisao, K., Geldenhuys, C.J., Chirwa, P.W., 2018. Assessment of the African baobab(Adansonia digitata L.) populations in Namibia:implications for conservation.Glob. Ecol. Conserv. 14, e00386 https://doi.org/10.1016/j.gecco.2018.e00386.
Liu, C., White, M., Newell, G., 2011. Measuring and comparing the accuracy of species distribution models with presence-absence data. Ecography 34, 232-243. https://doi.org/10.1080/j.1600-0587.2010.06354.x.
Mesgaran, M.B., Cousens, R.D., Webber, B.L., 2014. Here be dragons:a tool for quantifying novelty due to covariate range and correlation change when projecting species distribution models. Divers. Distrib. 20, 1147-1159. https://doi.org/10.1111/ddi.12209.
Mitchell, T.D., Carter, T.R., Jones, P.D., et al., 2004. A Comprehensive Set of HighResolution Grids of Monthly Climate for Europe and the Globe:the Observed Record (1901-2000) and 16 Scenarios (2001-2100). Tyndall centre for climate change research, Norwich, UK.
Patrut, A., Patrut, R.T., Danthu, P., et al., 2016. AMS radiocarbon dating of large za baobabs (Adansonia za) of Madagascar. PLoS One 11, e0146977. https://doi.org/10.1371/journal.pone.0146977.
Pearson, K., 1920. Notes on the history of correlation. Biometrika 13, 25-45. https://doi.org/10.2307/2331722.
Pettigrew, F.R.S.J.D., Bell, K.L., Bhagwandin, A., et al., 2012. Morphology, ploidy and molecular phylogenetics reveal a new diploid species from Africa in the baobab genus Adansonia (Malvaceae:Bombacoideae). Taxon 61, 1240-1250. https://doi.org/10.1002/tax.616006.
Petitpierre, B., Broennimann, O., Kueffer, C., et al., 2017. Selecting predictors to maximize the transferability of species distribution models:lessons from crosscontinental plant invasions. Global Ecol. Biogeogr. 26, 275-287. https://doi.org/10.1111/geb.12530.
Philips, S.J., Anderson, R.P., Schapire, R.E., 2006. Maximum entropy modelling of species geographic distributions. Ecol. Model. 190, 231-259. https://doi.org/10.1016/j.ecolmodel.2005.03.026.
Radosavljevic, A., Anderson, R.P., 2014. Making better MaxEnt models of species distributions:complexity, over fitting, and evaluation. J. Biogeogr. 41, 629-643.https://doi.org/10.1111/jbi.12227.
Root, T.L., Price, J.T., Hall, K.R., et al., 2003. Fingerprints of global warming on wild animals and plants. Nature 421, 57-60. https://doi.org/10.1038/nature01333.
Sanchez, A.C., Osborne, P.E., Haq, N., 2010. Identifying the global potential for baobab tree cultivation using ecological niche modeling. Agrofor. Syst. 80, 191-201. https://doi.org/10.1007/s10457-010-9282-2.
Schäffler, L., Kappeler, P.M., 2014. Distribution and abundance of the world's smallest primate, Microcebus berthae, in central western Madagascar. Int. J.Primatol. 35, 557-572. https://doi.org/10.1007/s10764-014-9768-2.
Sinclair, S.J., White, M.D., Newell, G.R., 2010. How useful are species distribution models for managing biodiversity under future climates? Ecol. Soc. 15, 299-305. https://doi.org/10.5751/ES-03089-150108.
Tadross, M., Randriamarolaza, L., Rabefitia, Z., et al., 2008. Climate Change in Madagascar; Recent Past and Future. Tech. Rep. World Bank.
Vieilledent, G., Cornu, C., Cuní Sanchez, A., et al., 2013. The vulnerability of baobab species to climate change and effectiveness of the protected area network in Madagascar:towards new conservation priorities. Biol. Conserv. 166, 11-22.https://doi.org/10.1016/j.biocon.2013.06.007.
Wiens, J.A., Seavy, N.E., Jongsomjit, D., 2011. Protected areas in climate space:what will the future bring? Biol. Conserv. 144, 2119-2125. https://doi.org/10.1016/j.biocon.2011.05.002.
Xu, Y., Shen, Z., Ying, L., et al., 2017. Hotspot analyses indicate significant conservation gaps for evergreen broadleaved woody plants in China. Sci. Rep. 7, 1859.https://doi.org/10.1038/s41598-017-02098-0.
Yu, F., Skidmore, A.K., Wang, T., et al., 2017. Rhododendron diversity patterns and priority conservation areas in China. Divers. Distrib. 23, 1143-1156. https://doi.org/10.1111/ddi.12607.
Zeng, Y., Low, B.W., Yeo, D.C.J., 2016. Novel methods to select environmental variables in MaxEnt:a case study using invasive crayfish. Ecol. Model. 341 https://doi.org/10.1016/j.ecolmodel.2016.09.019.
Zurell, D., Thuiller, W., Pagel, J., et al., 2016. Benchmarking novel approaches for modeling species range dynamics. Global Change Biol. 22, 2651-2664. https://doi.org/10.1111/gcb.13251.

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Modeling impacts of climate change on the potential distribution of six endemic baobab species in Madagascar

Modeling impacts of climate change on the potential distribution of six endemic baobab species in Madagascar

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