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Patterns of tree species richness in Southwest China

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Abstract

As a region known for its high species richness, southwest China plays an important role in preserving global biodiversity and ensuring ecological security in the Yangtze, Mekong, and Salween river basins. However, relatively few studies focus on the response of tree species richness to climate change in this part of China. This study determined the main tree species in southwest China using the Vegetation Map of China and the Flora of China. From simulations of 1970 to 2000 and three forecasts of future benign, moderate, and extreme climate warming anticipated during 2061 to 2080, this study used a maximum entropy model (MaxEnt) to simulate main tree species richness in southwest China. Regions with a peak species richness at intermediate elevations were typically dominated by complex mountainous terrain, such as in the Hengduan Mountains. Likewise, regions with the smallest richness were low-elevation areas, including the Sichuan Basin, and the high-elevation Sichuan-Tibet region. Annual precipitation, minimum temperature of the coldest month, temperature seasonality, and elevation were the most critical factors in estimating tree species richness in southwest China. During future 2061 to 2080 climate scenarios, tree species tended to migrate towards higher elevations as mean temperatures increased. For climate change scenarios RCP2.6–2070 (benign) and RCP4.5–2070 (moderate), the main tree species richness in the study area changed little. During the RCP8.5–2070 extreme scenario, tree species richness decreased. This study provides useful guidance to plan and implement measures to conserve biodiversity.

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References

  • Allouche, O., Tsoar, A., & Kadmon, R. (2006). Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology, 43(6), 1223–1232.

    Google Scholar 

  • Anderegg, W. R. L., Kane, J. M., & Anderegg, L. D. L. (2012). Consequences of widespread tree mortality triggered by drought and temperature stress. Nature Climate Change, 3(1), 30–36.

    Google Scholar 

  • Bojórquez-Tapia, L. A., Azuara, I., Ezcurra, E., & Flores-Villela, O. J. E. A. (1995). Identifying conservation priorities in Mexico through geographic information systems and modeling. Ecological Applications, 5(1), 215–231.

    Google Scholar 

  • Bonan, G. B. J. S. (2008). Forests and climate change: forcings, feedbacks, and the climate benefits of forests. Science, 320(5882), 1444–1449.

    CAS  Google Scholar 

  • Buongiorno, J. (2015). Modeling some long-term implications of CO2 fertilization for global forests and forest industries. Forest Ecosystems, 2(1), 29.

    Google Scholar 

  • Chen, I.-C., Hill, J. K., Ohlemüller, R., Roy, D. B., & Thomas, C. D. (2011). Rapid range shifts of species associated with high levels of climate warming. Science, 333(6045), 1024–1026.

    CAS  Google Scholar 

  • Colwell, R. K., & Lees, D. C. (2000). The mid-domain effect: geometric constraints on the geography of species richness. Trends in ecology and evolution, 15(2), 70–76.

    CAS  Google Scholar 

  • Dakhil, M. A., Xiong, Q., Farahat, E. A., Zhang, L., Pan, K., Pandey, B., Olatunji, O. A., Tariq, A., Wu, X., Zhang, A., Tan, X., & Huang, D. (2019). Past and future climatic indicators for distribution patterns and conservation planning of temperate coniferous forests in southwestern China. Ecological Indicators, 107, 105559.

    Google Scholar 

  • Editorial Board of Vegetation Map of China, Chinese Academy of Science. (2001). Vegetation atlas of China. Beijing: Science Press.

    Google Scholar 

  • Elith, J., Graham, C. H., Anderson, R. P., Dudík, M., Ferrier, S., Guisan, A., Hijmans, R. J., Huettmann, F., Leathwick, J. R., Lehmann, A., Li, J., Lohmann, L. G., Loiselle, B. A., Manion, G., Moritz, C., Nakamura, M., Nakazawa, Y., Overton, J. M. C. M., Peterson, A. T., Phillips, S. J., Richardson, K., Scachetti-Pereira, R., Schapire, R. E., Soberón, J., Williams, S., Wisz, M. S., & Zimmermann, N. E. (2006). Novel methods improve prediction of species’ distributions from occurrence data. Ecography, 29(2), 129–151.

    Google Scholar 

  • Feroz, S., Al Mamun, A., & Kabir, M. E. (2016). Composition, diversity and distribution of woody species in relation to vertical stratification of a tropical wet evergreen forest in Bangladesh. Global Ecology and Conservation, 8, 144–153.

    Google Scholar 

  • Flora of China Editorial Committee (2018). Flora of China. Retrieved from http://www.efloras.org/flora_page.aspx?flora_id=2.

  • Frank, D., Reichstein, M., Bahn, M., Thonicke, K., Frank, D., Mahecha, M. D., Smith, P., van der Velde, M., Vicca, S., Babst, F., Beer, C., Buchmann, N., Canadell, J. G., Ciais, P., Cramer, W., Ibrom, A., Miglietta, F., Poulter, B., Rammig, A., Seneviratne, S. I., Walz, A., Wattenbach, M., Zavala, M. A., & Zscheischler, J. (2015). Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts. Global Change Biology, 21(8), 2861–2880.

    Google Scholar 

  • Gao, Q., Guo, Y., Xu, H., Ganjurjav, H., Li, Y., Wan, Y., Qin, X., Ma, X., & Liu, S. (2016). Climate change and its impacts on vegetation distribution and net primary productivity of the alpine ecosystem in the Qinghai-Tibetan Plateau. Science of the Total Environment, 554-555, 34–41.

    CAS  Google Scholar 

  • Hanley, J. A., & McNeil, B. J. J. R. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143(1), 29–36.

    CAS  Google Scholar 

  • Kotter, R. (2013). Ecology of climate change: the importance of biotic interactions. International Journal of Environmental Studies, 70(6), 1008–1009. https://doi.org/10.1080/00207233.2013.845710.

    Article  Google Scholar 

  • Li, N., Wang, G., Yang, Y., Gao, Y., & Liu, G. (2011). Plant production, and carbon and nitrogen source pools, are strongly intensified by experimental warming in alpine ecosystems in the Qinghai-Tibet Plateau. Soil Biology and Biochemistry, 43(5), 942–953.

    CAS  Google Scholar 

  • Li, W. J., Peng, M. C., Higa, M., Tanaka, N., Matsui, T., Tang, C. Q., Ou, X. K., Zhou, R. W., Wang, C. Y. & Yan, H. Z. (2016). Effects of climate change on potential habitats of the cold temperate coniferous forest in Yunnan province, southwestern China. Journal of Mountain Science, 13(8), 1411–1422.

  • Lin, C., Gong, M. H., Liu, Y., Pan, X., & Piao, Z. J. (2018). Spatial heterogeneity of biodiversity value based on dominant species: Changbaishan ecological function zone as a case study. Acta Ecologica Sinica, 38(13), 4677–4683.

    Google Scholar 

  • Liu, C., White, M., Newell, G., & Pearson, R. (2013). Selecting thresholds for the prediction of species occurrence with presence-only data. Journal of Biogeography, 40(4), 778–789.

    Google Scholar 

  • Loarie, S. R., Duffy, P. B., Hamilton, H., Asner, G. P., Field, C. B., & Ackerly, D. D. (2009). The velocity of climate change. Nature, 462(7276), 1052–1055.

    CAS  Google Scholar 

  • Mittermeier, R. A., Turner, W. R., Larsen, F. W., Brooks, T. M., & Gascon, C. (2011). Global biodiversity conservation: the critical role of hotspots. Biodiversity hotspots, 3–22.

  • Mora, C., Caldwell, I. R., Caldwell, J. M., Fisher, M. R., Genco, B. M., & Running, S. W. (2015). Suitable days for plant growth disappear under projected climate change: potential human and biotic vulnerability. PLoS Biology, 13(6), e1002167.

    Google Scholar 

  • Moreno, R., Zamora, R., Molina, J. R., Vasquez, A., & Herrera, M. Á. (2011). Predictive modeling of microhabitats for endemic birds in South Chilean temperate forests using Maximum entropy (Maxent). Ecological Informatics, 6(6), 364–370.

    Google Scholar 

  • Murray-Smith, C., Brummitt, N. A., Oliveira-Filho, A. T., Bachman, S., Moat, J., Lughadha, E. M. N., & Lucas, E. J. (2009). Plant diversity hotspots in the Atlantic coastal forests of Brazil. Conservation Biology, 23(1), 151–163.

    Google Scholar 

  • O'Neill, B. C., Oppenheimer, M., Warren, R., Hallegatte, S., Kopp, R. E., Pörtner, H. O., Scholes, R., Birkmann, J., Foden, W., Licker, R., Mach, K. J., Marbaix, P., Mastrandrea, M. D., Price, J., Takahashi, K., Ypersele, J.-P., & Yohe, G. (2017). IPCC reasons for concern regarding climate change risks. Nature Climate Change, 7(1), 28–37.

    Google Scholar 

  • Ouyang, Z., Zheng, H., Xiao, Y., Polasky, S., Liu, J., Xu, W., Wang, Q., Zhang, L., Xiao, Y., Rao, E., Jiang, L., Lu, F., Wang, X., Yang, G., Gong, S., Wu, B., Zeng, Y., Yang, W., & Daily, G. C. (2016). Improvements in ecosystem services from investments in natural capital. Science, 352(6292), 1455–1459.

    CAS  Google Scholar 

  • Parmesan, C. (2007). Influences of species, latitudes and methodologies on estimates of phenological response to global warming. Global Change Biology, 13(9), 1860–1872.

    Google Scholar 

  • Pearson, R. G., Raxworthy, C. J., Nakamura, M., & Peterson, A. T. (2006). Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. Journal of Biogeography, 34(1), 102–117.

    Google Scholar 

  • Phillips, S. J., & Dudík, M. J. E. (2008). Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography, 31(2), 161–175.

    Google Scholar 

  • Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3–4), 231–259.

    Google Scholar 

  • Pineda, E., & Lobo, J. M. (2009). Assessing the accuracy of species distribution models to predict amphibian species richness patterns. Journal of Animal Ecology, 78(1), 182–190.

    Google Scholar 

  • Ricklefs, R. E. (2004). A comprehensive framework for global patterns in biodiversity. Ecology Letters, 7(1), 1–15.

    Google Scholar 

  • Sandel, B., Arge, L., Dalsgaard, B., Davies, R. G., Gaston, K. J., Sutherland, W. J., & Svenning, J.-C. (2011). The influence of Late Quaternary climate-change velocity on species endemism. Science, 334(6056), 660–664.

    CAS  Google Scholar 

  • Steinbauer, M. J., Grytnes, J.-A., Jurasinski, G., Kulonen, A., Lenoir, J., Pauli, H., Rixen, C., Winkler, M., Bardy-Durchhalter, M., Barni, E., Bjorkman, A. D., Breiner, F. T., Burg, S., Czortek, P., Dawes, M. A., Delimat, A., Dullinger, S., Erschbamer, B., Felde, V. A., Fernández-Arberas, O., Fossheim, K. F., Gómez-García, D., Georges, D., Grindrud, E. T., Haider, S., Haugum, S. V., Henriksen, H., Herreros, M. J., Jaroszewicz, B., Jaroszynska, F., Kanka, R., Kapfer, J., Klanderud, K., Kühn, I., Lamprecht, A., Matteodo, M., Morra di Cella, U., Normand, S., Odland, A., Olsen, S. L., Palacio, S., Petey, M., Piscová, V., Sedlakova, B., Steinbauer, K., Stöckli, V., Svenning, J.-C., Teppa, G., Theurillat, J.-P., Vittoz, P., Woodin, S. J., Zimmermann, N. E., & Wipf, S. (2018). Accelerated increase in plant species richness on mountain summits is linked to warming. Nature, 556(7700), 231–234.

    CAS  Google Scholar 

  • Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M. M. B., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., & Midgley, P. M. (2013). Climate change 2013: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (1535 pp). Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press.

    Google Scholar 

  • Tang, C. Q., Matsui, T., Ohashi, H., Dong, Y.-F., Momohara, A., Herrando-Moraira, S., Qian, S., Yang, Y., Ohsawa, M., Luu, H. T., Grote, P. J., Krestov, P. V., LePage, B., Werger, M., Robertson, K., Hobohm, C., Wang, C.-Y., Peng, M.-C., Chen, X., Wang, H.-C., Su, W.-H., Zhou, R., Li, S., He, L.-Y., Yan, K., Zhu, M.-Y., Hu, J., Yang, R.-H., Li, W.-J., Tomita, M., Wu, Z.-L., Yan, H.-Z., Zhang, G.-F., He, H., Yi, S.-R., Gong, H., Song, K., Song, D., Li, X.-S., Zhang, Z.-Y., Han, P.-B., Shen, L.-Q., Huang, D.-S., Luo, K., & López-Pujol, J. (2018). Identifying long-term stable refugia for relict plant species in East Asia. Nature Communications, 9(1), 4488.

    Google Scholar 

  • Tavşanoğlu, Ç. (2015). Ecology of climate change - the importance of biotic interactions. Folia Zoologica, 64(3), 296–298.

    Google Scholar 

  • Thomas, C. D., Cameron, A., Green, R. E., Bakkenes, M., Beaumont, L. J., Collingham, Y. C., Erasmus, B. F. N., de Siqueira, M. F., Grainger, A., Hannah, L., Hughes, L., Huntley, B., van Jaarsveld, A. S., Midgley, G. F., Miles, L., Ortega-Huerta, M. A., Townsend Peterson, A., Phillips, O. L., & Williams, S. E. (2004). Extinction risk from climate change. Nature, 427(6970), 145–148.

    CAS  Google Scholar 

  • Wang, Z., Fang, J., Tang, Z., & Lin, X. (2011). Patterns, determinants and models of woody plant diversity in China. Proceedings of the Royal Society B: Biological Sciences, 278(1715), 2122–2132.

    Google Scholar 

  • Wang, S., Xu, X., Shrestha, N., Zimmermann, N. E., Tang, Z., & Wang, Z. (2017). Response of spatial vegetation distribution in China to climate changes since the Last Glacial Maximum (LGM). PLoS One, 12(4), e0175742.

    Google Scholar 

  • Xin, X., Zhang, L., Zhang, J., Wu, T., & Fang, Y. (2013). Climate change projections over East Asia with BCC_CSM1.1 climate model under RCP scenarios. Journal of the Meteorological Society of Japan, 91(4), 413–429.

    Google Scholar 

  • Xing, Y., & Ree, R. H. (2017). Uplift-driven diversification in the Hengduan Mountains, a temperate biodiversity hotspot. Proceedings of the National Academy of Sciences, 114(17), E3444–E3451.

    CAS  Google Scholar 

  • Yang, X.-Q., Kushwaha, S. P. S., Saran, S., Xu, J., & Roy, P. S. (2013). Maxent modeling for predicting the potential distribution of medicinal plant, Justicia adhatoda L. in Lesser Himalayan foothills. Ecological Engineering, 51, 83–87.

    CAS  Google Scholar 

  • Zhang, M. G., Slik, J. F., & Ma, K. P. (2016a). Using species distribution modeling to delineate the botanical richness patterns and phytogeographical regions of China. Scientific Reports, 6(1), 1–9.

    Google Scholar 

  • Zhang, M., Wang, K., Liu, H., Wang, J., Zhang, C., Yue, Y., & Qi, X. (2016b). Spatio-temporal variation and impact factors for vegetation carbon sequestration and oxygen production based on rocky desertification control in the karst region of Southwest China. Remote Sensing, 8(2), 102.

    Google Scholar 

  • Zhao, D., Wu, S., Yin, Y., & Yin, Z. Y. (2011). Vegetation distribution on Tibetan Plateau under climate change scenario. Regional Environmental Change, 11(4), 905–915.

    Google Scholar 

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Acknowledgments

The authors thank Dr. Yuanjie Xu from Yunnan Academy of Biodiversity for helpful suggestions.

Funding

This work was supported by the National Natural Science Foundation [31700467], Agricultural joint general project of Yunnan Province [2018FG001–065], and Doctoral Research Launch Fund project of Southwest Forestry University [112003].

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Shuangfei Lu participated in the design of the study, carried out data analysis, and wrote original draft. Xiaojie Yin conceived of the study, participated in the design, and provided project financial support. Siyi Zhou and Chao Zhang reviewed, rewrote, and edited this manuscript. Rongliang Li, Jiahui Chen, Dongxu Ma, Yi Wang, and Yuheng Chen carried out investigation and data curation. Zhexiu Yu was responsible for the operation of the software. All authors read and approved the final manuscript.

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Correspondence to Xiaojie Yin.

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The authors declare that they have no competing interests. The datasets analyzed during the current study are available from the corresponding author on request.

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Lu, S., Zhou, S., Yin, X. et al. Patterns of tree species richness in Southwest China. Environ Monit Assess 193, 97 (2021). https://doi.org/10.1007/s10661-021-08872-y

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