Predicting the Potential Distribution of the Endangered Pyrethrum tatsienense in China Using an Optimized Maxent Model Under Climate Change Scenarios

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Duo Ping Zhu, Liu Yang, Yong-hua Li, Pei Huang, Bin Yao, Zhe Kong, Yangzhou Xiang
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Abstract

Climate change can significantly impact the ecological suitability and diversity of species. Pyrethrum tatsienense, a critically endangered species in China, requires a thorough understanding of its habitat distribution and the environmental factors that affect it in the context of climate change. The Maxent algorithm was used to examine the key factors influencing the distribution of P. tatsienense in China, using data from 127 species occurrences and environmental variables from the Last Interglacial (LIG), Last Glacial Maximum (LGM), Mid-Holocene (MH), current, and future scenarios. The Maxent model was optimized utilizing the R package ENMeval, providing the most accurate predictions for suitable habitats across various scenarios. Results show that suitable regions for P. tatsienense encompass approximately 15.02% (14.42 × 105 km2) of China, predominantly on the Qinghai-Tibetan Plateau. The mean UV-B of the highest month (UVB3: 39.7%), elevation (elev: 28.7%), and the warmest season of precipitation (Bio18: 17.4%) are the major limiting factors for suitable habitat. The optimal species distribution ranges are identified as > 7500 J m−2 day−1 for UVB3, 2700–5600 m for elev, and 150–480 mm for Bio18. Predictions for the historical climate indicate the presence of refugia at the junction of Sichuan, Tibet, and Qinghai. The MH predictions show an increase in climatic suitability for P. tatsienense compared to the LIG and LGM, with an expansion of suitable areas westward. Future climate change scenarios indicate that the potential suitable habitat for P. tatsienense is expected to increase with increasing radiative forcing, with higher latitude regions becoming new marginally suitable habitats. However, predicted environmental changes in western Tibet may drive the loss of highly suitable habitats in the future. These findings enhance our understanding of how environmental factors impact the habitat suitability of P. tatsienense and provide valuable insights for developing effective management and conservation strategies for this important species.

Abstract Image

利用气候变化情景下的优化 Maxent 模型预测中国濒危除虫菊 tatsienense 的潜在分布。
气候变化会严重影响物种的生态适宜性和多样性。除虫菊是中国的一种极度濒危物种,需要全面了解其栖息地分布以及在气候变化背景下对其产生影响的环境因素。利用 127 个物种出现的数据以及末次冰期(LIG)、末次冰期极盛(LGM)、中全新世(MH)、当前和未来情景下的环境变量,采用 Maxent 算法研究了影响除虫菊在中国分布的关键因素。利用 R 软件包 ENMeval 对 Maxent 模型进行了优化,从而对各种情景下的适宜栖息地做出了最准确的预测。研究结果表明,适合蝙蝠栖息的地区约占中国面积的 15.02%(14.42 × 105 平方公里),主要分布在青藏高原。最高月份的平均紫外线-B 值(UVB3:39.7%)、海拔高度(海拔:28.7%)和最温暖降水季节(Bio18:17.4%)是适宜栖息地的主要限制因素。最佳物种分布范围为:UVB3 > 7500 J m-2 day-1,海拔高度为 2700-5600 m,Bio18 为 150-480 mm。对历史气候的预测表明,四川、西藏和青海交界处存在避难所。MH预测表明,与LIG和LGM相比,气候对P. tatsienense的适宜性有所提高,适宜区域向西扩展。未来的气候变化情景表明,随着辐射强迫的增加,滇金丝猴的潜在适宜栖息地预计会增加,高纬度地区将成为新的边缘适宜栖息地。然而,预测的西藏西部环境变化可能会导致未来高度适宜栖息地的丧失。这些发现加深了我们对环境因素如何影响滇金丝猴栖息地适宜性的理解,并为这一重要物种制定有效的管理和保护策略提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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