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勐腊县边境区域亚洲象种群空间格局及时序动态特征初探

Spatiotemporal patterns of Asian elephant populations in the border region of Mengla county

  • 摘要: 动物种群空间格局及时序动态是认识物种分布变化和保护管理的重要基础,对于跨境活动物种尤为关键。中国—老挝边境是部分亚洲象(Elephas maximus)重要的跨境活动区域。本研究整合20世纪70年代以来云南省勐腊县边境区域亚洲象分布资料,在同一空间尺度下,采用5 km×5 km网格单元,对其空间格局及时序动态特征进行初步分析。结果表明,研究区域亚洲象分布格局在研究期内总体呈现由局部零散向连续扩张的演变特征。(1)尚勇亚种群在1976—2007年间分布相对稳定(出现网格数为9~20个),2010年后逐步扩张,至2025年达到104个网格;空间上由保护区内部向外围多方向延伸。(2)勐腊亚种群经历了“零散出现—阶段性缺失—恢复—快速扩张”的过程,2002—2008年网格数为6~18个,2010年后显著增加(2012年达42个),并在2022年达到峰值(110个);空间上形成向南北扩张的带状分布格局。(3)整体上,两个亚种群由相对独立逐步转变为连通分布,2006—2018年间网格数量稳步增长,2021—2025年显著提升,空间连续性明显增强。(4)空间格局上,亚洲象分布扩张具有一定的通道依赖特征,主要沿中老边境森林带及跨境通道延伸;同时,其活动范围已明显超出现有自然保护区边界,保护区外区域在整体分布格局中的作用逐渐增强。本研究揭示了勐腊县边境区域亚洲象种群空间格局及其时序演变特征,可为跨境亚洲象联合监测与保护管理提供基础空间数据支持。

     

    Abstract: Spatial patterns and temporal dynamics of animal populations are fundamental for understanding species distribution and informing conservation management, particularly for transboundary species. The China~Laos border represents a key transboundary range for Asian elephants. This study compiled distribution records of Asian elephants in the border region of Mengla county, Yunnan province, from the 1970s to 2025, and applied a 5 km × 5 km grid-based presence/absence approach to analyze their spatiotemporal dynamics under a unified spatial scale. Results show that the overall distribution pattern shifted from fragmented and localized to increasingly continuous and expanding. (1) The Shangyong subpopulation remained relatively stable during 1976-2007 (9~20 occupied grids), expanded after 2010, and reached 104 grids by 2025, with multidirectional expansion beyond the reserve. (2) The Mengla subpopulation experienced a trajectory of sporadic occurrence, temporary absence, re-establishment, and rapid expansion. Grid numbers ranged from 6~18 during 2002-2008, increased markedly after 2010 (42 grids in 2012), and peaked at 110 grids in 2022, forming a north~south banded distribution. (3) At the regional scale, the two subpopulations gradually shifted from isolated to connected distributions, with continuous increases in occupied grids during 2006-2018 and a marked rise during 2021-2025, indicating enhanced spatial connectivity. (4) Spatial expansion exhibited strong corridor dependence, primarily along transboundary forest belts and movement pathways, with elephant ranges extending beyond existing protected areas and increasing use of non-protected landscapes. This study reveals the spatiotemporal evolution of Asian elephant distribution in the transboundary region of Mengla County, providing a spatial basis for joint monitoring and conservation management of transboundary elephant populations.

     

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