Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Taiwan Forestry Research Institute, 53 Nanhai Rd., Taipei 100, Taiwan; Department of Forestry and Natural Resources, National Ilan University, 1 Shennong Rd., Section 1, Yilan City, Yilan County 260, Taiwan.
Sci Total Environ. 2023 Jun 15;877:162722. doi: 10.1016/j.scitotenv.2023.162722. Epub 2023 Mar 17.
Climate change results in the habitat loss of many conifer tree species and jeopardizes species biodiversity and forest ecological functions. Delineating suitable habitats for tree species via climate niche model (CNM) is widely used to predict the impact of climate change and develop conservation and management strategies. However, the robustness of CNM is broadly debated as it usually does not consider soil and competition factors. Here we developed a new approach to combine soil variables with CNM and evaluate interspecific competition potential in the niche overlapping areas. We used an endangered conifer species - Chamaecyparis formosensis (red cypress) - as a case study to predict the impact of climate change. We developed a novel approach to integrate the climate niche model and soil niche model predictions and considered interspecific competition to predict the impacts of climate change on tree species. Our results show that the suitable habitat for red cypress would decrease significantly in the future with an additional threat from the competition of an oak tree species. Our approach and results may represent significant implications in making conservation strategies and evaluating the impacts of climate change, and providing the direction of the refinement of the ecological niche model.
气候变化导致许多针叶树物种的栖息地丧失,危及物种多样性和森林生态功能。通过气候生态位模型(CNM)来划定树种的适宜栖息地,广泛用于预测气候变化的影响,并制定保护和管理策略。然而,CNM 的稳健性存在广泛争议,因为它通常不考虑土壤和竞争因素。在这里,我们开发了一种新方法,将土壤变量与 CNM 相结合,并评估在生态位重叠区域的种间竞争潜力。我们使用一种濒危针叶树种——台湾扁柏(红桧)作为案例研究,预测气候变化的影响。我们开发了一种新方法来整合气候生态位模型和土壤生态位模型的预测,并考虑种间竞争来预测气候变化对树种的影响。我们的结果表明,未来红桧的适宜栖息地将显著减少,同时还将受到另一种栎树物种竞争的额外威胁。我们的方法和结果可能在制定保护策略和评估气候变化的影响方面具有重要意义,并为生态位模型的细化提供了方向。