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视频记录和植被分类阐明了物种丰富草原上绵羊的觅食生态。

Video recording and vegetation classification elucidate sheep foraging ecology in species-rich grassland.

作者信息

Hall Stephen J G, Arney David R, Bunce Robert G H, Vollmer Elis

机构信息

Estonian University of Life Sciences Tartu Estonia.

出版信息

Ecol Evol. 2021 Oct 20;11(21):14873-14887. doi: 10.1002/ece3.8172. eCollection 2021 Nov.

Abstract

Factors influencing grazing behavior in species-rich grasslands have been little studied. Methodologies have mostly had a primary focus on grasslands with lower floristic diversity.We test the hypothesis that grazing behavior is influenced by both animal and plant factors and investigate the relative importance of these factors, using a novel combination of video technology and vegetation classification to analyze bite and step rates.In a semi-natural, partially wooded grassland in northern Estonia, images of the vegetation being grazed and records of steps and bites were obtained from four video cameras, each mounted on the sternum of a sheep, during 41 animal-hours of observation over five days. Plant species lists for the immediate field of view were compiled. Images were partnered by direct observation of the nearest-neighbor relationships of the sheep. TWINSPAN, a standard vegetation classification technique allocating species lists to objectively defined classes by a principal components procedure, was applied to the species lists and 25 vegetation classes (15 open pasture and 10 woodland) were identified from the images.Taking bite and step rates as dependent variables, relative importance of animal factors (sheep identity), relative importance of day, and relative importance of plant factors (vegetation class) were investigated. The strongest effect on bite rates was of vegetation class. Sheep identity was less influential. When the data from woodland were excluded, sheep identity was more important than vegetation class as a source of variability in bite rate on open pasture.The original hypothesis is therefore supported, and we further propose that, at least with sheep in species-rich open pastures, animal factors will be more important in determining grazing behavior than plant factors. We predict quantifiable within-breed and between-breed differences, which could be exploited to optimize conservation grazing practices and contribute to the sustainability of extensive grazing systems.

摘要

在物种丰富的草原上,影响放牧行为的因素鲜少被研究。相关方法大多主要聚焦于植物种类多样性较低的草原。我们检验了放牧行为受动物和植物因素共同影响这一假设,并使用视频技术与植被分类的全新组合来分析啃咬率和步速,以探究这些因素的相对重要性。在爱沙尼亚北部一片半自然、部分树木繁茂的草原上,在为期五天、总计41个动物小时的观察期间,通过安装在四只绵羊胸骨上的四个摄像机,获取了被放牧植被的图像以及步速和啃咬记录。编制了紧邻视野范围内的植物物种清单。通过直接观察绵羊的近邻关系来辅助图像分析。运用TWINSPAN(一种标准植被分类技术,通过主成分分析程序将物种清单分配到客观定义的类别)对物种清单进行分析,从图像中识别出25种植被类别(15种开阔牧场类和10种林地类)。以啃咬率和步速作为因变量,研究了动物因素(绵羊个体身份)的相对重要性、日期的相对重要性以及植物因素(植被类别)的相对重要性。对啃咬率影响最大的是植被类别。绵羊个体身份的影响较小。当排除林地的数据后,在开阔牧场上,绵羊个体身份作为啃咬率变异性的来源比植被类别更为重要。因此,最初的假设得到了支持,我们进一步提出,至少对于物种丰富的开阔牧场中的绵羊而言,在决定放牧行为方面,动物因素比植物因素更为重要。我们预测了可量化的品种内和品种间差异,这些差异可用于优化保护性放牧实践,并有助于粗放放牧系统的可持续性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b45/8571568/eae0d901962f/ECE3-11-14873-g005.jpg

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