Modeling the Present and Future Geographical Distribution Potential of Dipteronia dyeriana, a Critically Endangered Species from China

Diversity Pub Date : 2024-09-04 DOI:10.3390/d16090545
Ming-Hui Yan, Bin-Wen Liu, Bashir B. Tiamiyu, Yin Zhang, Wang-Yang Ning, Jie-Ying Si, Nian-Ci Dong, Xin-Lan Lv
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Abstract

Climate change will have various impacts on the survival and development of species, and it is important to explore whether plants can adapt to future climate conditions. Dipteronia dyeriana is an endangered species with a narrow distribution in Yunnan, characterized by a small population size. However, studies on its current distribution and the impact of climate change on its future survival and distribution are very limited. In this study, the current and future (2050 and 2090) potential habitats under the SSP1-2.6, SSP3-7.0, and SSP5-8.5 scenarios were predicted using both maximum entropy (MaxEnt) and random forest (RF) models based on the current range points of D. dyeriana, soil, topographical, land cover, and climate data. The results showed that the RF model demonstrated significantly higher AUC, TSS, and Kappa scores than the MaxEnt model, suggesting high accuracy of the RF model. Isothermality (bio_3), minimum temperature of the coldest month (bio_6), and annual precipitation (bio_12) are the main environmental factors affecting the distribution of D. dyeriana. At present, the high suitability area of D. dyeriana is mainly concentrated in the eastern part of Yunnan Province and part of southern Tibet, covering an area of 3.53 × 104 km2. Under future climate change scenarios, the total area suitable for D. dyeriana is expected to increase. Although, the highly suitable area has a tendency to decrease. With regards to land use, more than 77.53% of the suitable land area (29.67 × 104 km2) could be used for D. dyeriana planting under different SSP scenarios. In 2090, the centroid shifts of the two models exhibit a consistent trend. Under the SSP1-2.6 scenario, the centroids transfer to the southeast. However, under the SSP3-7.0 and SSP5-8.5 scenarios, the centroids of high suitability areas migrate toward the northwest. In summary, this study enhances our understanding of the influence of climate change on the geographic range of D. dyeriana and provides essential theoretical backing for efforts in its conservation and cultivation.
建立中国极度濒危物种 Dipteronia dyeriana 现在和未来地理分布潜力的模型
气候变化将对物种的生存和发展产生各种影响,探讨植物能否适应未来的气候条件具有重要意义。Dipteronia dyeriana是一种濒危物种,在云南的分布范围较窄,种群数量较少。然而,有关其当前分布以及气候变化对其未来生存和分布影响的研究非常有限。本研究根据 D. dyeriana 的现状分布点、土壤、地形、土地覆盖和气候数据,采用最大熵模型(MaxEnt)和随机森林模型(RF)预测了 SSP1-2.6、SSP3-7.0 和 SSP5-8.5 情景下 D. dyeriana 的现状和未来(2050 年和 2090 年)的潜在栖息地。结果表明,RF 模型的 AUC、TSS 和 Kappa 分数明显高于 MaxEnt 模型,表明 RF 模型的准确性很高。等温线(bio_3)、最冷月最低气温(bio_6)和年降水量(bio_12)是影响 D. dyeriana 分布的主要环境因素。目前,D. dyeriana 的高适宜区主要集中在云南省东部和西藏南部的部分地区,面积为 3.53 × 104 平方公里。在未来气候变化情景下,D. dyeriana 的总适宜面积预计会增加。不过,高度适宜区有减少的趋势。在土地利用方面,在不同的可持续发展战略情景下,超过 77.53% 的适宜土地面积(29.67 × 104 平方公里)可用于 D. dyeriana 的种植。在 2090 年,两种模式的中心点移动趋势一致。在 SSP1-2.6 情景下,中心点向东南转移。然而,在 SSP3-7.0 和 SSP5-8.5 情景下,高适宜性区域的中心点向西北方向迁移。总之,本研究加深了我们对气候变化对 D. dyeriana 地理分布影响的理解,为其保护和栽培提供了重要的理论依据。
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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