Suitable Planting Area Prediction for Two Species: An Analysis Based on Habitat and Phytochemical Suitability.

Plants (Basel)

Key Laboratory of Xinjiang Phytomedicine Resource and Utilization of Ministry of Education, Key Laboratory of Oasis Town and Mountain-Basin System Ecology of Xinjiang Production and Construction Corps, College of Life Sciences, Shihezi University, Shihezi 832003, China.

Published: May 2025


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Article Abstract

The distribution of suitable habitats for medicinal plants is affected by climate, soil, land use, and other factors. , an important traditional Chinese medicinal resource in Xinjiang, includes (Royle) I. M. Johnst. and Bunge and is at risk of over-exploitation. This study predicted suitable planting areas by integrating habitat and phytochemical suitability using the MaxEnt model and ArcGIS. The AUC values for and were 0.977 and 0.952, with TSS values of 0.829 and 0.725, respectively, validating the high accuracy of the prediction model. Under the current scenario, the areas of suitable habitats for and were 108,914 and 176,445 km, mainly distributed along the main mountains in Xinjiang. Under future climate scenarios, the suitable habitat area of increased by 11-18%, except in the ssp126-2090s scenario, while the suitable habitat area of area decreased by 3-18%. Both species were influenced by land use/land cover and soil available nitrogen content; additionally, was affected by the precipitation in the driest month, and by the mean diurnal range. The content of secondary metabolites was positively correlated with habitat suitability, with soil factors contributing 35.25% to the total secondary metabolite content. Their suitable habitats predominantly occur in grasslands (42-82%). As habitat and phytochemical suitability distributions aligned, the eastern and western sides of the northern Kunlun Mountain Pass emerged as key areas for cultivation. This research can provide a scientific foundation for selecting optimal planting regions for the two species.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12157611PMC
http://dx.doi.org/10.3390/plants14111669DOI Listing

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