ORIGINAL RESEARCH
Potential Distribution Areas Prediction
of Endangered Species - Heritiera littoralis
Based on MaxEnt Modeling in China
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1
Key Laboratory of Ecology and Environment in Minority Areas (Minzu University of China), National Ethnic Affairs
Commission of China, Beijing, 100081, China
2
College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
3
Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
4
College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
Submission date: 2023-08-16
Final revision date: 2023-09-28
Acceptance date: 2023-10-10
Online publication date: 2024-01-24
Publication date: 2024-02-28
Corresponding author
Longzhi Han
Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Jianxin Xia
State Key Laboratory of Ecological Environment in Minority Areas, Minzu University of China, 100081, Beijing, China
Pol. J. Environ. Stud. 2024;33(3):2359-2372
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ABSTRACT
The endangered semi-mangrove plant Heritiera littoralis occupies an overall area of less than
30 hm2 in China. In this study, we employed the MaxEnt model to predict the distribution patterns
of H. littoralis during the Last Glaciation Maximum, the present day, and the future. Drawing from
41 distributed records and 12 environmental factors within China, we investigated the species’ potential
habitats. To anticipate future scenarios, we assessed its distribution under the RCP4.5 greenhouse gas
emission scenario for 2050 and 2070. As a result, four primary distribution areas emerged in Guangxi,
Guangdong, Hainan, and Taiwan, signifying the main potential habitats for H. littoralis. Our findings
indicate that the distribution centre of H. littoralis remains in Guangxi across the four time periods,
with a projected eastward migration. By 2050, the species’ habitat range is anticipated to contract,
whereas, by 2070, the suitable habitat area is expected to expand. Moreover, we identify pivotal
environmental factors influencing the potential distribution of H. littoralis, including precipitation of
the warmest quarter (Bio 18), temperature seasonality (Bio 4), mean diurnal range (Bio 2), precipitation
of the wettest month (Bio 13), and annual mean temperature (Bio 1). The outcomes of this study offer
valuable data for comprehending the distribution of H. littoralis in China. Furthermore, they aid
in pinpointing areas suitable for conservation management, both presently and in the future.