Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
J Environ Manage. 2024 Nov;370:123074. doi: 10.1016/j.jenvman.2024.123074. Epub 2024 Oct 28.
Climate change is increasingly contributing to climatic mismatches, in which habitat suitability changes outpace the dispersal abilities of species. Climate niche models (CNM) have been widely used to assess such impacts on tree species. However, most studies have focused on either a single or a limited number of species, or have employed a fixed set of climate variables for multiple species. These limitations are largely due to the constraints of data availability, the complexity of the modeling algorithms, and integration approaches for the projections of diverse species. Therefore, whether specific climatic drivers determine the climatic niches of multiple tree species remains unclear. In this study, CNMs were developed for 100 economically and ecologically important tree species in China and were used to project their future distribution individually and collectively. Continentality was the predominant climate variable, affecting 71 species, followed by seasonal precipitation, which also significantly influenced over 50 species. Of the 100 tree species, the climate niche extent was projected to expand for 29 ("winners"), contract for 36 ("losers"), be stable for 27, and fluctuate for the remaining eight species. Principal component analysis showed that winners and losers were differentiated by geographic variables and the top five climatic variables, however, not by species type (deciduous vs. evergreen or conifer vs. broadleaf). The regions with the highest species richness were mainly distributed in the Hengduan Mountains, a global biodiversity hotspot, and were predicted to increase from 5.2% to 7.5% of the total area. Areas with low species richness were projected to increase from 33.0% to 42.4%. Significant shifts in species composition were anticipated in these biodiversity-rich areas, suggesting potential disruption owing to species reshuffling. This study highlights the urgent need for proactive forest management and conservation strategies to address the impacts of climate change on tree species and preserve ecological functions by mitigating climatic mismatches. In addition, this study establishes a framework to identify the common environmental drivers affecting niche distribution and evaluates the collective patterns of multiple tree species, thereby providing a scientific reference for enhanced forestry management and climate change mitigation.
气候变化导致气候不匹配的情况日益增多,使栖息地适宜性的变化超过了物种的扩散能力。气候生态位模型(CNM)已被广泛用于评估树种所受的此类影响。然而,大多数研究都只关注单一或有限数量的物种,或者对多种物种使用一组固定的气候变量。这些局限性主要是由于数据可用性的限制、建模算法的复杂性以及对不同物种预测的整合方法的限制所致。因此,特定的气候驱动因素是否决定了多个树种的气候生态位仍然不清楚。本研究为中国 100 种具有经济和生态重要性的树种开发了 CNM,并分别和集体地对它们的未来分布进行了预测。大陆性是主要的气候变量,影响了 71 个物种,其次是季节性降水,也显著影响了 50 多个物种。在这 100 个树种中,预计气候生态位范围将扩大的有 29 个(“赢家”),缩小的有 36 个(“输家”),稳定的有 27 个,波动的有其余 8 个。主成分分析表明,“赢家”和“输家”是由地理变量和前五个气候变量区分的,而不是由物种类型(落叶与常绿或针叶与阔叶)区分的。物种丰富度最高的地区主要分布在横断山脉,这是一个全球生物多样性热点地区,预计其面积将从总面积的 5.2%增加到 7.5%。物种丰富度较低的地区预计将从 33.0%增加到 42.4%。这些生物多样性丰富地区的物种组成预计将发生重大变化,这表明由于物种重新组合,可能会出现潜在的干扰。本研究强调了积极的森林管理和保护策略的迫切需要,以应对气候变化对树种的影响,并通过缓解气候不匹配来保护生态功能。此外,本研究建立了一个框架,用于确定影响生态位分布的共同环境驱动因素,并评估多个树种的集体模式,从而为加强森林管理和减缓气候变化提供科学参考。