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Habitat suitability modeling of Descurainia sophia medicinal plant using three bivariate models

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Abstract

Climate change has caused medicinal plants to become increasingly endangered. Descurainia sophia (flixweed) is at risk of extinction in Fars Province, Iran, due to climate change and modifications of land use. Flixweed is highly valuable because of its medicinal properties. The conservation of this species using habitat suitability modeling seems necessary. In this research, the geographical locations of D. sophia’s distribution in southern Iran were recorded and mapped using ArcGIS 10.2.2. Then, ten important variables affecting the growth of D. sophia medicinal plants were identified and prepared as thematic layers. These variables were, namely, “elevation,” “slope degree,” “slope aspect,” “soil physical characteristics (sand, silt, and clay percentage),” “soil chemical properties (EC and pH),” “annual mean rainfall,” “annual mean temperature,” “distance to roads,” “distance to rivers,” and “plan curvature.” In this study, three bivariate models, including the “index-of-entropy (IofE),” “frequency ratio (FR),” and “weight of evidence (WofE),” were used for mapping the habitat suitability of D. sophia. Moreover, the ROC curve and AUC index were used for evaluating the accuracy of the models. Based on the results, the IofE model (“AUC”: 0.93) was the most accurate, while the FR (“AUC”: 0.92) and WofE (“AUC”: 0.90) models ranked second and third, respectively. The models in this study can be applied as tools for the protection of endangered medicinal plants. Furthermore, the map could assist planners, decision-makers, and engineers in extending study areas. By determining the habitat maps of medicinal plants, their extinction can be prevented. Such maps can also assist in the propagation of medicinal plants.

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All data used for analyses are available from the corresponding author upon request.

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Funding

This research was partly funded by the Department of Plant Production and Genetics, School of Agriculture, Shiraz University, Shiraz, Iran.)Number of fund: KM:21315).

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Authors and Affiliations

  1. Department of Plant Production and Genetics, School of Agriculture, Shiraz University, Shiraz, Iran

    Emran Dastres, Enayat Jahangiri, Mohsen Edalat & Afshin Zamani

  2. Department of Watershed and Arid Zone Management, Gorgan University of Agricultural Sciences & Natural Resources, Gorgan, Iran

    Mahdis Amiri

  3. Department of Natural Resources and Environmental Engineering, School of Agriculture, Shiraz University, Shiraz, Iran

    Hamid Reza Pourghasemi

Authors
  1. Emran Dastres
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  2. Enayat Jahangiri
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  3. Mohsen Edalat
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  4. Afshin Zamani
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  5. Mahdis Amiri
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  6. Hamid Reza Pourghasemi
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Contributions

ED, EJ, ME, AZ, MA, and HRP designed the experiments, ran models, analyzed the results, and wrote and reviewed the manuscript. All authors reviewed the final manuscript.

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Correspondence to Mohsen Edalat.

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Dastres, E., Jahangiri, E., Edalat, M. et al. Habitat suitability modeling of Descurainia sophia medicinal plant using three bivariate models. Environ Monit Assess 195, 392 (2023). https://doi.org/10.1007/s10661-023-10996-2

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