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基于最大熵模型和马克思an模型预测[具体物种或事物]的潜在分布区域和优先保护区。 (注:原文中“based on Maxent model and Marxan model.”前缺少具体所指对象,翻译时补充了[具体物种或事物]使句子完整通顺)

Prediction of potential distribution areas and priority protected areas of based on Maxent model and Marxan model.

作者信息

Wang Yongji, Zhao Ruxia, Zhou Xueyong, Zhang Xiaolong, Zhao Guanghua, Zhang Fenguo

机构信息

School of Life Science, Shanxi Engineering Research Center of Microbial Application Technologies, Shanxi Normal University, Taiyuan, Shanxi, China.

School of Resources and Environment, Shanxi University of Finance and Economics, Taiyuan, Shanxi, China.

出版信息

Front Plant Sci. 2023 Jul 24;14:1200796. doi: 10.3389/fpls.2023.1200796. eCollection 2023.

Abstract

(Fisch. & C. A. Mey.) Kuntze has been widely studied because of its high medicinal and edible value. Establishing the priority protected area of wild can provide scientific basis for the protection of germplasm resources. In this study, we predicted the potential suitability distribution area of under the current and future climate scenarios with the MaxEnt model, and the dominant climate factors affecting the distribution of were analyzed. Based on the above results, we predicted the priority protected areas of with the Marxan model. The results showed that is mainly distributed in the eastern and central regions of China at present. In future, the suitable area of will increase, otherwise a few areas will shrink back and migrate to the high latitude areas as a whole. Hydrothermal conditions are the main environmental factors affecting the distribution of . The priority protected areas of are mainly distributed in Chongqing, eastern Sichuan, southern Guizhou, western Hunan and Hubei and southwestern Shaanxi, which are basically consistent with the highly suitable areas predicted by Maxent model. The results of this study are of great significance for the protection and rational utilization of species of Agastache.

摘要

( Fisch. & C. A. Mey.)Kuntze因其较高的药用和食用价值而受到广泛研究。建立野生[物种名称]的优先保护区可为种质资源保护提供科学依据。在本研究中,我们利用MaxEnt模型预测了[物种名称]在当前和未来气候情景下的潜在适宜分布区,并分析了影响[物种名称]分布的主要气候因子。基于上述结果,我们利用Marxan模型预测了[物种名称]的优先保护区。结果表明,[物种名称]目前主要分布在中国东部和中部地区。未来,[物种名称]的适宜面积将增加,否则少数区域将退缩并整体向高纬度地区迁移。水热条件是影响[物种名称]分布的主要环境因子。[物种名称]的优先保护区主要分布在重庆、四川东部、贵州南部、湖南西部和湖北以及陕西西南部,这与Maxent模型预测的高度适宜区基本一致。本研究结果对藿香属物种的保护和合理利用具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46b4/10405825/86964e265790/fpls-14-1200796-g001.jpg

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