中国刺槐(Robinia pseudoacacia L.)分布范围的变化:一个全球模式在未来气候变化中的应用

Guoqing Li , Paul C. Rogers , Jinghua Huang
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引用次数: 5

摘要

几十年来,中国北方广泛利用刺槐(Robinia pseudoacacia L.)恢复退化土地,森林已成为中国重要的生态系统。然而,关于刺槐的活动范围如何随着未来气候变化而变化,目前仍存在知识缺口,这是刺槐适应性管理的第一步。利用最大熵模型(MaxEnt),利用1174份全球蝗灾资料和13个气候变量,建立了全球刺槐生态位模型。然后,在当前气候情景(2000年)和未来4种气候情景(2080年)下,对中国进行了全球生态位模型预估。结果表明,蝗灾范围主要受温度相关变量控制,而不受降水相关变量控制。中国刺槐潜在活动范围纬度主要在23°~ 40°之间,占位面积约占中国陆地总面积的26.7% (25.7 × 105 km2)。未来气候有利于中国刺槐向北扩展,扩展速度为21 km/ 10年,各气候情景下有利于刺槐向北移动,扩展速度为9.6 m/ 10年。相对较高的稳定范围(87-94%)和快速的范围转移速度意味着中国刺槐对气候变化的脆弱性较小,灭绝风险较小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Black locust (Robinia pseudoacacia L.) range shifts in China: Application of a global model in climate change futures

Black locust (Robinia pseudoacacia L.) has been widely used to restore degraded land in northern China for many decades, and the forest has become an important ecosystem in China. However, there is still knowledge gap about how the range shift of black locust in response to future climate change, which is the first step for adaptive management of black locust. Here, a global niche model of black locust was established by means of maximum entropy model (MaxEnt), 1174 global occurrences data, as well as 13 climatic variables. Then, the global niche model was projected to China under current climate (2000) and four future climate scenarios (2080). The results showed that the range of black locust is mainly controlled by temperature related variables rather than precipitation related variables. The latitude of potential range of black locust is mainly between 23° and 40° in China with the area of occupation being about 26.7% (25.7 × 105 km2) of China's total land area. Future climate is conducive to the northward expansion of black locust in China with a speed of 21 km/decade, as well as an upward shift with a speed of 9.6 m/decade across climate scenarios. Relatively high stable ranges (87–94%) and quick range shift speed implies that little vulnerability of black locust in response to climate change, as well as little risk of extinction in China.

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