期刊
SCIENCE OF THE TOTAL ENVIRONMENT
卷 803, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.scitotenv.2021.149864
关键词
Phytoremediation; Minimum temperature of coldest month (bio6); Species distribution model MaxEnt; Temperature annual range (bio7); Representative concentration pathways; Shared socio-economic pathways
资金
- National Natural Science Foundation of China [31901126]
- National Key Research and Development Program of China [2018YFC1800504]
- Yunnan Innovative Research Team of Environmental pollution, Food Safety and Human Health [202005AE160017]
- Applied Basic Research Foundation of Yunnan Province [202001AT070078]
Understanding the distribution of hyperaccumulators such as Pteris vittata in China is essential for efficient phytoremediation strategies. This study investigated the geographical distribution of P. vittata and the key factors limiting its growth, showing that it mainly grows in southern provinces and is restricted by temperature factors. Under different climate change scenarios, the distribution of P. vittata in China is expected to decrease, with certain regions becoming unsuitable for its growth.
Understanding the distribution of hyperaccumulators helps to implement more efficient phytoremediation strategies of contaminated sites, however, limited information is available. Here, we investigated the geographical distribution of the first-known arsenic-hyperaccumulator Pteris vittata in China and the key factors under two climate change scenarios (SSP 1-2.6 and SSP 5-8.5) at two time points (2030 and 2070). Species distribution model (MaxEnt) was applied to examine P. vittata distribution based on 399 samples from field surveys and existing specimen records. Further, among 23 environmental factors, 11 variables were used in the MaxEnt model, including temperature, precipitation, elevation, soil property, and UV-B radiation. The results show that P. vittata can grow in similar to 23% of the regions in China. Specifically, it is mainly distributed in 11 provinces of southern China, including Hainan, Guangdong, Guangxi, Yunnan, Guizhou, Hunan, Hubei, Jiangxi, Fujian, Zhejiang, and Jiangsu. Besides, eastern Sichuan, and southern Henan, Shaanxi, and Anhui are suitable for P. vittata growth. Under two climate change scenarios, P. vittata distribution in China would decrease by similar to 5.76-7.46 x 10(4) km(2) in 2030 and similar to 3.22-4.68 x 10(4) km(2) in 2070, with southern Henan and most Jiangsu being unsuitable for P. vittata growth. Among the 11 environmental variables, the minimum temperature of coldest month (bio6) and temperature annual range (bio7) are the two key factors limiting P. vittata distribution. At bio6 <-5 degrees C and/or bio7 >33 degrees C, the regions are unsuitable for P. vittata growth. Based on the MaxEnt model, precipitation had limited effects, so P. vittata can probably survive under both dry and moist environments. This study helps guide phytoremediation of As-polluted soils using P. vittata and provides an example to evaluate habitat suitability of hyperaccumulators at international scales. (C) 2021 Elsevier B.V. All rights reserved.
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