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基于MaxEnt模型分析气候变化背景下岷山山系南段大熊猫潜在适生区

MaxEnt-based prediction of giant pandas’ potential suitable habitats in southern Minshan Mountains under climate change

  • 摘要: 为评估气候变化对岷山山系南段大熊猫(Ailuropoda melanoleuca)潜在适生区的影响,基于 30 个大熊猫分布点,采用 MaxEnt 模型模拟当前(1970—2000年)及未来 2050年(2041—2060年)、2070年(2061—2080年)、2090年(2081—2100年)4 种气候情景下(RCP2.6、RCP4.5、RCP6.0、RCP8.5)大熊猫适生区时空格局、垂直分布特征及驱动机制。结果表明:(1)降水量变异系数(bio15,18.1%)、坡度(15.5%)、最干季度降水量(bio17,11.2%)、海拔(11.1%)是影响大熊猫适生区的主要环境因子;当前大熊猫适生区随 bio15 升高而递减、随 bio17 升高而递增,坡度 12°、海拔 2500 m 时适生区达到最优。(2)当前高适生区、中适生区、低适生区面积分别为51400.34 hm2102505.27 hm2148833.72 hm2,核心分布海拔区间依次为13393686 m、12743785 m、11994072 m,栖息地整体呈破碎化分布。(3)RCP2.6 低排放情景下,2050s、2070s 高适生区小幅扩张(+11.84%、+2.20%),关键气候因子增幅整体最小,气候波动最为平缓;未来整体适生区呈缩减趋势,适生区缩减幅度与 bio15、bio17 增幅呈极显著负相关(P<0.01),两因子可解释 80% 以上的适生区面积变化。(4)适生区垂直格局表现为向中高海拔收缩、分布区间收窄,非随排放等级单调抬升,其中 RCP4.5 情景收缩最剧烈,RCP2.6 与 RCP8.5 相对缓和。(5)土地岭廊道在不同情景下均保留 60% 以上适生区,核心分布海拔稳定无明显迁移,连通性良好。研究明确了岷山山系南段大熊猫适生区对气候变化的范围、变化特征及驱动因子,可为区域大熊猫栖息地保护与气候适应性管理提供科学依据。

     

    Abstract: To assess the impacts of climate change on the potential suitable habitats of the giant panda (Ailuropoda melanoleuca) in the southern Minshan Mountains, this study simulated the spatiotemporal patterns, vertical distribution characteristics, and driving mechanisms of giant panda habitats under current climate conditions (1970–2000) and four climate scenarios (RCP2.6, RCP4.5, RCP6.0, and RCP8.5) for the 2050s (2041–2060), 2070s (20612080), and 2090s (20812100) using the MaxEnt model based on 30 giant panda occurrence points. The results show that: (1) Precipitation seasonality (bio15, 18.1%), slope (15.5%), precipitation of the driest quarter (bio17, 11.2%), and elevation (11.1%) were the dominant environmental factors affecting giant panda habitats. Under current climate conditions, habitat suitability decreased with increasing bio15 and increased with increasing bio17, peaking at a slope of 12° and an elevation of 2500 m. (2) The current areas of high-, medium-, and low-suitability habitats were 51400.34 hm2, 102505.27 hm2, and 148833.72 hm2, with core elevation ranges of 13393686 m, 12743785 m, and 11994072 m, respectively, and the overall habitat was fragmented. (3) Under the low-emission scenario RCP2.6, high-suitability habitat expanded slightly by 11.84% and 2.20% in the 2050s and 2070s, accompanied by the smallest increases in key climatic variables and the mildest climate fluctuations among all scenarios. Future habitats overall tended to shrink, and habitat reduction was significantly negatively correlated with the increases in bio15 and bio17 (P<0.01), which together explained more than 80% of the variation in habitat area. (4) The vertical distribution of suitable habitats contracted toward middle-to-high elevations with narrowed ranges, rather than shifting monotonically upward with rising emission levels; contraction was most drastic under RCP4.5 and relatively mild under RCP2.6 and RCP8.5. (5) The Tudiling Corridor retained more than 60% of its suitable habitat under all scenarios, with stable core elevation and favorable connectivity. This study clarifies the range, variation characteristics, and drivers of giant panda habitats in the southern Minshan Mountains under climate change, and provides a scientific basis for regional habitat conservation and climate-adaptive management of giant pandas.

     

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