基于卫星遥测数据的水鸟类关键区识别——以黄河口国家公园候选区为例

Identification of key area for waterbirds based on satellite telemetry tracking data: a case study of the Yellow River Estuary National Park Candidate Area

  • 摘要: 科学划定自然保护地边界、明确物种空间分布关键区, 是构建以国家公园为主体自然保护地体系的核心需求。以黄河口国家公园候选区为例, 基于东方白鹳(Ciconia boyciana)、白枕鹤(Antigone vipio)和鸿雁(Anser cygnoides)的卫星遥测追踪数据, 运用R语言track2KBA程序包, 通过个体核心区提取、样本代表性评估和种群尺度关键区识别等流程, 定量评估了上述物种在研究区内的空间利用格局与保护覆盖成效。结果表明:东方白鹳在春、秋、冬三季的样本代表性均较高(>75%), 其关键栖息地格局季节性波动剧烈;其中夏季核心区集聚度最高, 且有83%的面积位于国家公园候选区边界内, 而春、秋、冬三季则表现出不同程度的时空错配, 大量关键区溢出至候选区边界之外。白枕鹤和鸿雁的关键区均集中于南部片区, 且100%被候选区边界完整覆盖。通过引入归一化种群数量(相对空间利用权重)与参考种群参数(个体数量权重), 构建并验证了基于卫星遥测数据在局地尺度提取物种关键区与评估空间覆盖特征的标准化流程, 可为自然保护地的精细化空间功能分区、季节性动态管控与红线优化提供直接的数据支撑与决策依据。

     

    Abstract: Delineating protected area boundaries and identifying key areas for target species are fundamental tasks in the development of a protected area system centered on national parks. Migratory waterbirds, characterized by high mobility, exhibit significant spatiotemporal dynamics in their annual cycle activities, posing considerable challenges to traditional static boundary planning. Taking the Yellow River Estuary National Park Candidate Area as a case study, this research integrated high-resolution satellite telemetry tracking data from 115 individuals of three threatened waterbird species, constructing 251 analytical samples (229 individual-season samples and 22 individual-year samples). The cumulative tracking duration reached 5324 days, yielding 941728 valid GPS location points. The study species included the Oriental Stork (Ciconia boyciana, n=101), the White-naped Crane (Antigone vipio, n=7), and the Swan Goose (Anser cygnoides, n=7). Utilizing the standardized analytical workflow of the R package track2KBA, the 50% core utilization distributions of individuals were extracted, sample representativeness at the population level was assessed, key distribution areas for each species were delineated, and the conservation coverage effectiveness and seasonal conservation gaps of the national park candidate area were quantitatively evaluated. The results demonstrated pronounced interspecific and seasonal differences in spatial utilization patterns and conservation effectiveness among species. For the Oriental Stork, sample representativeness reached 89%, 29%, 83%, and 78% in spring, summer, autumn, and winter, respectively. Its key area shifted dramatically with seasons. The summer key area contracted to 14 km2, of which 83% (12 km2) fell within the candidate area boundaries. The key area identified in spring totaled 47 km2, with 69% (32 km2) located outside the boundaries. The most prominent spatial mismatches occurred in autumn and winter, with total key areas reaching 55 km2 and 58 km2, and the proportions (and areas) of key area spilling over beyond the candidate boundary reaching 85% (47 km2) and 59% (34 km2), respectively. High-resolution satellite imagery visual interpretation further indicated that most key area outside the candidate area boundaries, thus not incorporated into the protected scope, were concentrated in areas adjacent to the protected land, river channels, reservoirs, and aquaculture ponds. In contrast, the interannual key areas for the Swan Goose (18 km2) and the White-naped Crane (4 km2) were highly concentrated in the southern portion of the study area, with 100% spatial coverage by the candidate area boundaries. By introducing standardized spatial utilization metrics (Relative Spatial Utilization Weights, RSUW) and demographic references (Individual Abundance Weights, IAW), this study established an evidence-based, objective research framework that translates animal tracking results into refined conservation planning. This approach can provide direct data support and decision-making references for refined spatial zoning, seasonal dynamic management, and boundary optimization adjustments within protected areas.

     

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