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Predicting the potential global distribution of Sapindus mukorossi under climate change based on MaxEnt modelling

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Abstract

Sapindus mukorossi (S. mukorossi) is an important biological washing material and biomass energy tree species whose peel is rich in saponins, and its kernels have a high oil content. We used the maximum entropy model (MaxEnt) to predict the suitable habitats of S. mukorossi globally, screen the dominant environmental factors affecting its distribution and analyse the changes in its suitable habitats under climate change from prehistory to the future, and the results will provide a scientific basis for germplasm resource collection, protection, introduction and cultivation. Twenty-two environmental variables and global distribution data for S. mukorossi were used to construct the species distribution model, and the receiver operating characteristic (ROC) curve was used to verify the accuracy of the model. The dominant environmental factors were screened through the jackknife method, and then, the geographical information system (ArcGIS) was used to complete the grade of suitable habitat division and area calculation. The results showed that the MaxEnt model had an excellent predictive effect, and the area under the ROC curve (AUC) value was as high as 0.969. The precipitation of the warmest quarter (Bio18), the minimum temperature of the coldest month (Bio6), temperature seasonality (Bio4) and isothermality (Bio3) were the dominant environmental factors that affected the distribution of S. mukorossi. The largest area of the world’s suitable habitats occurred during the last interglacial (LIG) (772.69 × 104 km2), and the area decreased sharply (614.46 × 104 km2) during the last glacial maximum (LGM). The area of suitable habitat showed an increasing trend during the Mid-Holocene (MH) and currently, with areas of 631.06 × 104 km2 and 706.82 × 104 km2, respectively. The area of suitable habitats for S. mukorossi globally was 718.35 × 104 km2 (SSP1-2.6), 636.85 × 104 km2 (SSP2-4.5), 657.64 × 104 km2 (SSP3-7.0) and 675.89 × 104 km2 (SSP5-8.5) under the four scenarios of the future climate. The area increased only in the SSP1 scenario. In summary, globally, the suitable area of S. mukorossi tended to migrate to higher latitudes and decrease in area with future climate change.

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Data availability

The data sets generated and/or analysed during the current study are available in the Global Biodiversity Information Database (GBIF; https://www.gbif.org), National Specimen Information Infrastructure (http://www.nsii.org.cn) and Chinese Virtual Herbarium (https://www.cvh.ac.cn/).

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Funding

This work was supported by the National Science and Technology Basic Resources Survey Program of China (2019FY100803_02) and Zhejiang Science and Technology Major Program on Agricultural New Variety Breeding (2021C02070-3).

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Authors and Affiliations

  1. Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, 311400, China

    Yongxiang Li, Wenhao Shao & Jingmin Jiang

  2. Nanjing Forestry University, Nanjing, 210037, China

    Yongxiang Li

Authors
  1. Yongxiang Li
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  2. Wenhao Shao
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  3. Jingmin Jiang
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Contributions

Wenhao Shao conceived of and designed the project. Wenhao Shao, Yongxiang Li and Jingmin Jiang collected the data. Yongxiang Li analysed the data and performed the simulations. Yongxiang Li and Wenhao Shao wrote the manuscript.

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Correspondence to Wenhao Shao.

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The authors declare no competing interests.

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Li, Y., Shao, W. & Jiang, J. Predicting the potential global distribution of Sapindus mukorossi under climate change based on MaxEnt modelling. Environ Sci Pollut Res 29, 21751–21768 (2022). https://doi.org/10.1007/s11356-021-17294-9

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