Prediction of the potential distribution area of Jacaranda mimosifolia in China under climate change using the MaxEnt model

被引:1
作者
Li, Xiaomei [1 ]
Zhang, Guowu [2 ]
Xie, Chunping [3 ]
Qiu, Jianhuang [2 ]
Liu, Xuefeng [2 ]
机构
[1] Zhanjiang Univ Sci & Technol, Zhanjiang, Peoples R China
[2] Chinese Acad Forestry, Res Inst Fast growing Trees, Zhanjiang, Peoples R China
[3] Qiongtai Normal Univ, Trop Biodivers & Bioresource Utilizat Lab, Haikou, Peoples R China
关键词
Jacaranda mimosifolia; bioclimatic variables; MaxEnt; climate change; species distribution modeling; TREE;
D O I
10.3389/ffgc.2024.1377689
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Introduction: Jacaranda mimosifolia, native to South America, is a notable ornamental tree widely used in Chinese urban landscaping due to its aesthetic and environmental value. Despite its popularity, the cultivation of J. mimosifolia in China faces challenges, including intermittent failures in various regions. This study assesses the potential distribution of J. mimosifolia in China and its response to climate change, providing insights for its application and promotion. Methods: Using MaxEnt software, we developed an ecological niche model from 218 distribution records and selected 10 environmental variables to predict the tree's distribution under various climate scenarios (SSP126, SSP245, SSP370). Results: Our model demonstrates high predictive accuracy (AUC > 0.90) across scenarios, identifying key factors such as the mean temperature of the coldest quarter (bio11), precipitation of the driest month (bio14), temperature annual range (bio7), and minimum temperature of the coldest month (bio6). Their relative contribution rates were 49.3%, 18.4%, 15.6%, and 2.0%, respectively. The average temperature of the coldest quarter was not lower than 5 degrees C, with the ideal range being 7.38 similar to 14.88 degrees C. Currently, J. mimosifolia predominantly thrives in Taiwan, Fujian, Guangdong, Hainan, Guangxi, Yunnan, and to a lesser extent in the Sichuan Basin, southern Guizhou, Tibet, Hunan, Jiangxi, and Zhejiang province, covering a total area of approximately 122.19 x 10(4) km(2). Future predictions indicate that under the SSP126 scenario, the most significant contraction occurs between the 2050s and 2070s, with a total change of -1.08 x 10(4) km(2). Conversely, under the SSP370 scenario, the greatest expansion is observed from the 2030s to the 2050s, amounting to a change of 2.08 x 10(4) km(2). Suitable area expansion is anticipated in most periods and scenarios, except for SSP126 in the 2070s, SSP245 in the 2050s, and SSP370 in the 2030s and 2070s. The distribution center shifts observed include movements northwestward, southwestward, and eastward with distances ranging from 5.12 km to 18.84 km. These shifts are likely driven by global warming, resulting in movements to higher elevations and latitudes. Discussion: These predictions will provide a solid theoretical foundation for the future application of J. mimosifolia in urban landscaping and serve as a valuable reference for its introduction and cultivation.
引用
收藏
页数:15
相关论文
共 61 条
[1]   Jacaranda flower (Jacaranda mimosifolia) as an alternative for antioxidant and antimicrobial use [J].
Aguirre-Becerra, Humberto ;
Araceli Pineda-Nieto, Silvia ;
Fernando Garcia-Trejo, Juan ;
Guevara-Gonzalez, Ramon G. ;
Angelica Feregrino-Perez, Ana ;
Liliana Alvarez-Mayorga, Beatriz ;
Rivera Pastrana, Dulce Maria .
HELIYON, 2020, 6 (12)
[2]   Bioclimatic niches of selected endemic Ixora species on the Philippines: predicting habitat suitability due to climate change [J].
Banag, Cecilia ;
Thrippleton, Timothy ;
Alejandro, Grecebio Jonathan ;
Reineking, Bjoern ;
Liede-Schumann, Sigrid .
PLANT ECOLOGY, 2015, 216 (09) :1325-1340
[3]   Reproductive systems and low outbreeding barriers between Jacaranda cuspidifolia and J. mimosifolia (Jacarandeae, Bignoniaceae) [J].
Bittencourt Junior, Nelson Sabino .
NORDIC JOURNAL OF BOTANY, 2019, 37 (11)
[4]   Mechanistic forecasts of species responses to climate change: The promise of biophysical ecology [J].
Briscoe, Natalie J. ;
Morris, Shane D. ;
Mathewson, Paul D. ;
Buckley, Lauren B. ;
Jusup, Marko ;
Levy, Ofir ;
Maclean, Ilya M. D. ;
Pincebourde, Sylvain ;
Riddell, Eric A. ;
Roberts, Jessica A. ;
Schouten, Rafael ;
Sears, Michael W. ;
Kearney, Michael Ray .
GLOBAL CHANGE BIOLOGY, 2023, 29 (06) :1451-1470
[5]   Comparing species distribution models constructed with different subsets of environmental predictors [J].
Bucklin, David N. ;
Basille, Mathieu ;
Benscoter, Allison M. ;
Brandt, Laura A. ;
Mazzotti, Frank J. ;
Romanach, Stephanie S. ;
Speroterra, Carolina ;
Watling, James I. .
DIVERSITY AND DISTRIBUTIONS, 2015, 21 (01) :23-35
[6]   Regeneration responses to climate and land-use change of four subtropical tree species of the southern Central Andes [J].
Caron, M. M. ;
De Frenne, P. ;
Ortega-Baes, P. ;
Quinteros, A. ;
Verheyen, K. .
FOREST ECOLOGY AND MANAGEMENT, 2018, 417 :110-121
[7]  
Cavalcante HS, 2021, FLORESTA AMBIENTE, V28, DOI [10.1590/2179-8087-floram-2020-0045, 10.1590/2179-8087-FLORAM-2020-0045]
[8]   MaxEnt Modeling to Predict the Current and Future Distribution of Pomatosace filicula under Climate Change Scenarios on the Qinghai-Tibet Plateau [J].
Chen, Kaiyang ;
Wang, Bo ;
Chen, Chen ;
Zhou, Guoying .
PLANTS-BASEL, 2022, 11 (05)
[9]   Potentially suitable habitat prediction of Pinus massoniana Lamb. in China under climate change using Maxent model [J].
Chi, Yi ;
Wang, G. Geoff ;
Zhu, Mengxun ;
Jin, Peng ;
Hu, Yue ;
Shu, Pengzhou ;
Wang, Zhongxu ;
Fan, Aifei ;
Qian, Penghong ;
Han, Yini ;
Jin, Songheng .
FRONTIERS IN FORESTS AND GLOBAL CHANGE, 2023, 6
[10]   The impact of climate change on the distribution of two threatened Dipterocarp trees [J].
Deb, Jiban C. ;
Phinn, Stuart ;
Butt, Nathalie ;
McAlpine, Clive A. .
ECOLOGY AND EVOLUTION, 2017, 7 (07) :2238-2248