Effects of climate change on the distribution of wild <i>Akebia trifoliata</i>

Ecology and Evolution - Tập 12 Số 3 - 2022
Junming Zhang1,2, Xiangyong Peng3, Song Min-li1, Zhenjian Li2, Xin‐Qiao Xu2, Wei Wang4,2
1Department of Biology, Taiyuan Normal University, Taiyuan, China
2The Institute of Forestry the Chinese Academy of Forestry Beijing China
3School of Life Science, Qufu Normal University, Qufu, China
4School of Life Sciences Yulin University Yulin China

Tóm tắt

AbstractUnderstanding the impacts and constraints of climate change on the geographical distribution of wild Akebia trifoliata is crucial for its sustainable management and economic development as a medicinal material or fruit. In this study, according to the first‐hand information obtained from field investigation, the distribution and response to climate change of A. trifoliata were studied by the MaxEnt model and ArcGIS. The genetic diversity and population structure of 21 natural populations of A. trifoliata were studied by simple sequence repeat (SSR) markers. The results showed that the most important bioclimatic variable limiting the distribution of A. trifoliata was the Mean Temperature of Coldest Quarter (bio11). Under the scenarios SSP1‐2.6 and SSP2‐4.5, the suitable area of A. trifoliata in the world will remain stable, and the suitable area will increase significantly under the scenarios of SSP3‐7.0 and SSP5‐8.5. Under the current climate scenario, the suitable growth regions of A. trifoliata in China were 79.9–122.7°E and 21.5–37.5°N. Under the four emission scenarios in the future, the geometric center of the suitable distribution regions of Akebia trifoliata in China will move to the north. The clustering results of 21 populations of A. trifoliata analyzed by SSR markers showed that they had a trend of evolution from south to north.

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Tài liệu tham khảo

10.1016/j.ecoinf.2019.01.003

10.1111/1365‐2745.13361

10.1007/s10531‐016‐1071‐4

10.1038/nature01286

10.1111/gcb.12868

10.1534/genetics.110.115543

10.1111/j.1600‐0587.2008.05505.x

10.1002/joc.5086

10.1016/j.phytochem.2006.09.003

10.1002/mrc.2152

10.1038/srep46221

10.1111/j.1461‐0248.2005.00739.x

10.1371/journal.pone.0159184

10.1139/b03‐141

10.1248/cpb.c12‐00448

10.1016/j.envexpbot.2005.02.009

10.1126/science.1156831

10.1016/j.scitotenv.2019.134141

10.3390/f11030302

10.1016/j.jep.2018.11.044

10.1111/j.1365‐294X.2004.02141.x

10.1016/j.ecolmodel.2005.03.026

10.1111/j.2007.0906‐7590.05203.x

Phillips S. J., 2006, Maxent software for modeling species niches and distributions (Version 3.4.1)

10.1016/j.flora.2018.12.006

10.1016/j.rse.2008.01.008

10.1080/13658816.2020.1798968

10.1016/j.ppees.2007.09.004

10.1046/j.1365‐294X.2001.01281.x

10.1038/22087

10.1016/j.foodchem.2014.07.105

10.3389/fpls.2021.619883

10.1039/c9fo02917f

10.1007/s12224‐013‐9165‐1

10.1016/j.jep.2008.05.037

10.1016/j.ecoleng.2012.12.004

10.1016/j.rser.2016.09.138

10.1016/j.ecoleng.2016.04.010

10.3389/fevo.2021.752682

10.1016/j.scitotenv.2018.04.112

10.1016/j.ecoinf.2019.01.004

10.1007/s10681‐018‐2198‐z

10.1016/j.scienta.2018.10.060