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应用生态学报 ›› 2026, Vol. 37 ›› Issue (7): 2257-2270.doi: 10.13287/j.1001-9332.202607.021

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气候变化下中国3种桫椤科植物的分布格局变迁及优先保护区域识别

马婷, 杨光磊, 王紫娟*   

  1. 大理大学农学与生物科学学院, 云南大理 671003
  • 收稿日期:2026-01-05 接受日期:2026-05-18 出版日期:2026-07-18 发布日期:2027-01-18
  • 通讯作者: *E-mail: wangzijuan123@163.com
  • 作者简介:马 婷, 女, 2000年生, 硕士研究生。主要从事植物生态学研究。E-mail: 2249874605@qq.com
  • 基金资助:
    云南省地方本科高校基础研究联合专项资金项目(202101BA070001-064)和大理大学科研发展基金项目(KY2319104040,KY2319104240)资助。

Distribution pattern shift and identification of priority conservation areas for three Cyatheaceae species in China under climate change

MA Ting, YANG Guanglei, WANG Zijuan*   

  1. College of Agriculture and Biological Science, Dali University, Dali 671003, Yunnan, China
  • Received:2026-01-05 Accepted:2026-05-18 Online:2026-07-18 Published:2027-01-18

摘要: 气候变化深刻重塑珍稀濒危植物的分布格局并威胁其长期存续。为探究气候变化对珍稀濒危桫椤科植物的影响,本研究以桫椤、中华桫椤和白桫椤为研究对象,利用优化后的MaxEnt模型,预测其在基准期和未来(2050、2090年)3种气候情景(SSP126、SSP245、SSP585)下的潜在适生区格局及变迁,并通过适生区重叠度分析与长期稳定避难所识别,识别优先保护区域。结果表明:模型预测结果较可靠(受试者工作特征曲线下面积>0.96,真实技能统计值>0.81,连续Boyce指数>0.90),气候因子是驱动3种桫椤科物种分布的主导环境变量。与基准期相比,未来气候变化下桫椤的适生区面积持续收缩,中华桫椤和白桫椤均在中期(2050年)普遍扩张、后期(2090年)以收缩为主,且在高排放情景(SSP585)下变化最显著。SSP585情景下,桫椤的适生区面积从基准期的154.22×104 km2持续收缩至2090年的97.84×104 km2;中华桫椤的适生区面积由基准期的138.27×104 km2先增至2050年的154.84×104 km2,之后又降至2090年的149.44×104 km2;白桫椤的适生区面积由基准期的92.62×104 km2先增加到2050年的220.44×104 km2,又降至2090年的47.68×104 km2。3种桫椤科物种在未来3种气候情景下的潜在适生区总体格局与基准期相似,集中分布于中国西南和华南地区,但均呈现不同程度的动态变化。基准期,桫椤、中华桫椤、白桫椤的适生区质心分别位于广西柳州市、贵州黔东南苗族侗族自治州、贵州遵义市。3种桫椤科植物的质心在未来呈低排放扩张北移、高排放情景下向凉爽地区收缩避热的总体趋势,且迁移强度随排放增加而加剧。迁移方向上,桫椤向东南迁移,中华桫椤向西北迁移,白桫椤向西南迁移。云南西南地区(版纳、普洱、临沧)及海南是三者适生区重叠度最高且长期稳定的核心避难所,应将这些区域确立为优先保护区域,在其核心避难所强化就地保护,并通过近自然栖息地恢复提升景观连通性,以应对气候变化的长期挑战。

关键词: 桫椤科, MaxEnt模型, 气候变化, 潜在适生区, 长期避难所

Abstract: Climate change is profoundly reshaping the distribution patterns of rare and endangered plants and threatening their persistence. We investigated the impact of climate change on rare and endangered Cyatheaceae plants, including Alsophila spinulosa, A. costularis, and Sphaeropteris brunoniana. We used an optimized MaxEnt model to predict their potential suitable habitat patterns and shifts under the baseline period and future periods (2050 and 2090) across three climate scenarios (SSP126, SSP245, SSP585), and identified priority conservation areas through suitable habitat overlap analysis and long-term stable refugia identification. Results showed reliable model predictions (area under the receiver operating characteristic curve>0.96, true skill statistic>0.81, continuous Boyce index>0.90). Climatic factors were the dominant environmental variables driving the distribution of the three Cyatheaceae species. Compared to the baseline period, the suitable habitat area of A. spinulosa continued to shrink under future climate change, while both A. costularis and S. brunoniana showed general expansion in the mid-term (2050) followed by predominant contraction in the late period (2090), with the most significant changes occurring under the high-emission scenario (SSP585). Under the SSP585 scenario, the suitable habitat area of A. spinulosa continuously shrank from 154.22×104 km2 to 97.84×104 km2 by 2090. The suitable habitat area of A. cos-tularis first increased from 138.27×104 km2 to 154.84×104 km2 by 2050, and then declined to 149.44×104 km2 by 2090. The suitable habitat area of S. brunoniana first increased from 92.62×104 km2 to 220.44×104 km2 by 2050, and then declined to 47.68×104 km2 by 2090. The overall distribution patterns of potential suitable habitats for the three Cyatheaceae species under three future climate scenarios were similar to those of the baseline period, concentrated in southwestern and southern China, but all exhibited dynamic change. During the baseline period, the centroids of the suitable habitats of A. spinulosa, A. costularis, and S. brunoniana were located in Liuzhou, Guangxi, Qiandongnan Miao and Dong Autonomous Prefecture, Guizhou, and Zunyi, Guizhou, respectively. The centroids of the three Cyatheaceae species showed an overall trend of northward expansion under low-emission scenario and contraction toward cooler regions to avoid heat under high-emission scenario, with migration intensity increasing with rising emission. In terms of migration direction, A. spinulosa migrated southeastward, A. costularis migrated northwestward, and S. brunoniana migrated southwestward. Southwestern Yunnan (Xishuangbanna, Pu'er, Lincang) and Hainan constitute the core refugia, with the highest and most stable overlap of suitable habitats for all three species, yet there are significant conservation gaps currently. In the future, these regions should be designated as priority conservation areas, with strengthened in-situ conservation in their core refugia, complemented by near-natural habitat restoration to enhance landscape connectivity, thereby addressing the long-term challenges posed by climate change.

Key words: Cyatheaceae, MaxEnt model, climate change, potential suitable habitat, long-term refuge