Lund Silje Marquardsen, Jacobsen Johanne Holm, Nielsen Maria Gytkjær, Friis Marie Ribergaard, Nielsen Natalie Hvid, Mortensen Nina Østerhaab, Skibsted Regitze Cushion, Aaser Magnus Fjord, Staahltoft Søren Krabbe, Bruhn Dan, Sonne Christian, Alstrup Aage Kristian Olsen, Frikke John, Pertoldi Cino
Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220 Aalborg, Denmark.
Department of Ecoscience, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark.
Animals (Basel). 2024 Jul 20;14(14):2121. doi: 10.3390/ani14142121.
Interest in virtual fencing has increased due to its flexibility for agriculture and rewilding. However, systems like Nofence© require large financial investments, and the need for individual collars complicates large-scale use. If cattle herds maintain cohesive groups around leading individuals, fewer collars could be used, thereby enhancing cost efficiency. This study investigates the pattern in spatial distribution in a herd of 17 Angus cows on Fanø in Denmark with GPS locations, using a Nofence© system. The aim of this paper is to determine how individuals position themselves in a herd, spatially, and identify a pattern in ranks. The method used in this study examines the distances between an individual to the rest of the herdmates using nearest neighbour and descriptive statistics. Contrary to expectations, this study did not reveal a distinct pattern in herd distribution. While some tendencies in spatial distribution patterns were observed, only a low concordance could be found (W=0.15,p<0.001), indicating great variability in the cattle's ranks. A cumulative curve of the ranks estimated over the entire periods, however, allowed a rough estimation of the hierarchy and allowed identification of the highest-ranked cows, making the use of a cumulative curve a possible solution to finding the high-ranked cows. This research underscores the complexity of cattle social structures and highlights the need for extended observation periods and alternative methodologies to enhance the cost-effectiveness and scalability of virtual fencing in agricultural and rewilding contexts.
由于虚拟围栏在农业和野化方面具有灵活性,人们对其兴趣与日俱增。然而,像Nofence©这样的系统需要大量资金投入,而且需要个体佩戴项圈,这使得大规模使用变得复杂。如果牛群围绕领头个体保持紧密群体,那么使用的项圈就可以减少,从而提高成本效益。本研究使用Nofence©系统,通过GPS定位调查了丹麦法诺岛17头安格斯母牛群体的空间分布模式。本文的目的是确定个体在群体中的空间位置,并识别等级模式。本研究采用的方法是使用最近邻法和描述性统计来检验个体与其他群体成员之间的距离。与预期相反,本研究并未揭示群体分布中的明显模式。虽然观察到了一些空间分布模式的趋势,但只能发现较低的一致性(W = 0.15,p < 0.001),这表明牛的等级存在很大变异性。然而,在整个时间段内估计的等级累积曲线可以对等级制度进行粗略估计,并识别出等级最高的母牛,这使得使用累积曲线成为找到高等级母牛的一种可能解决方案。本研究强调了牛社会结构的复杂性,并突出了在农业和野化背景下需要延长观察期和采用替代方法来提高虚拟围栏的成本效益和可扩展性。