Klaassen Raymond H G, Nolet Bart A, Bankert Daniëlle
Department of Plant-Animal Interactions, Netherlands Institute of Ecology (NIOO-KNAW), Rijksstraatweg 6, 3631AC Nieuwersluis, The Netherlands.
Ecology. 2006 Sep;87(9):2244-54. doi: 10.1890/0012-9658(2006)87[2244:moftse]2.0.co;2.
We tested whether Tundra Swans use information on the spatial distribution of cryptic food items (below ground Sago pondweed tubers) to shape their movement paths. In a continuous environment, swans create their own food patches by digging craters, which they exploit in several feeding bouts. Series of short (<1 m) intra-patch movements alternate with longer inter-patch movements (>1 m). Tuber biomass densities showed a positive spatial auto-correlation at a short distance (<3 m), but not at a larger distance (3-8 m). Based on the spatial pattern of the food distribution (which is assumed to be pre-harvest information for the swan) and the energy costs and benefits for different food densities at various distances, we calculated the optimal length of an inter-patch movement. A swan that moves to the patch with the highest gain rate was predicted to move to the adjacent patch (at 1 m) if the food density in the current patch had been high (>25 g/m2) and to a more distant patch (at 7-8 m) if the food density in the current patch had been low (<25 g/m2). This prediction was tested by measuring the response of swans to manipulated tuber densities. In accordance with our predictions, swans moved a long distance (>3 m) from a low-density patch and a short distance (<3 m) from a high-density patch. The quantitative agreement between prediction and observation was greater for swans feeding in pairs than for solitary swans. The result of this movement strategy is that swans visit high-density patches at a higher frequency than on offer and, consequently, achieve a 38% higher long-term gain rate. Swans also take advantage of spatial variance in food abundance by regulating the time in patches, staying longer and consuming more food from rich than from poor patches. We can conclude that the shape of the foraging path is a reflection of the spatial pattern in the distribution of tuber densities and can be understood from an optimal foraging perspective.
我们测试了苔原天鹅是否利用关于隐秘食物(地下的西谷泽泻块茎)空间分布的信息来塑造它们的移动路径。在一个连续的环境中,天鹅通过挖掘坑洼来创造自己的觅食区域,并在几次觅食过程中加以利用。一系列短距离(<1米)的斑块内移动与较长距离(>1米)的斑块间移动交替进行。块茎生物量密度在短距离(<3米)呈现正空间自相关,但在较大距离(3 - 8米)则不然。基于食物分布的空间模式(假定为天鹅的收获前信息)以及不同距离下不同食物密度的能量成本和收益,我们计算了斑块间移动的最佳长度。如果当前斑块中的食物密度较高(>25克/平方米),预测向增益率最高的斑块移动的天鹅会移动到相邻斑块(1米处);如果当前斑块中的食物密度较低(<25克/平方米),则会移动到更远的斑块(7 - 8米处)。通过测量天鹅对人工控制的块茎密度的反应来检验这一预测。与我们的预测一致,天鹅从低密度斑块移动的距离较长(>3米),从高密度斑块移动的距离较短(<3米)。成对觅食的天鹅在预测与观察之间的定量一致性比单独觅食的天鹅更大。这种移动策略的结果是,天鹅比现有高密度斑块的出现频率更高地访问这些斑块,因此长期增益率提高了38%。天鹅还通过调节在斑块中的停留时间来利用食物丰度的空间差异,在丰富斑块中停留更长时间并消耗更多食物。我们可以得出结论,觅食路径的形状反映了块茎密度分布的空间模式,并且可以从最佳觅食的角度来理解。