Understanding sheep baa-haviour: Investigating the relationship between pasture and animal grazing patterns

Danica Parnell, Igor Kardailsky, Jacob Parnell, Warwick Brabazon Badgery, Lachlan Ingram
{"title":"Understanding sheep baa-haviour: Investigating the relationship between pasture and animal grazing patterns","authors":"Danica Parnell,&nbsp;Igor Kardailsky,&nbsp;Jacob Parnell,&nbsp;Warwick Brabazon Badgery,&nbsp;Lachlan Ingram","doi":"10.1002/glr2.12026","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Grasslands are the primary source of feed for grazing livestock, and as such, knowledge on how to best manage livestock and grasslands, through the use of spatiotemporal modelling, will assist in the long-term management of a valuable ecosystem resource.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This study was conducted over 14 months between March and April 2017 in Orange, NSW, Australia. The study evaluated sheep behaviour in relation to the presence of pasture species, environment and paddock structures, using random forest modelling, to predict sheep location under continuous high (HSR, 13 DSE ha<sup>−1</sup>) and low (LSR, 7 DSE ha<sup>−1</sup>) stocking rates.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>In the LSR, significant drivers included water, shade and fence lines (<i>p</i> &lt; 0.01). In the HSR, only fence lines and available biomass were found to be significant (<i>p</i> &lt; 0.01). The presence of green legumes in both stocking rates often increased residency by sheep. Animals spent more time together in the LSR, suggesting that social behaviour played a larger role than pasture quantity and quality in driving grazing behaviours.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Understanding how pasture type can influence grazing behaviours and also how animal behaviour affects pasture performance and utilisation is important in developing long-term sustainable management strategies on a paddock scale.</p>\n </section>\n </div>","PeriodicalId":100593,"journal":{"name":"Grassland Research","volume":"1 3","pages":"143-156"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/glr2.12026","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Grassland Research","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/glr2.12026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Background

Grasslands are the primary source of feed for grazing livestock, and as such, knowledge on how to best manage livestock and grasslands, through the use of spatiotemporal modelling, will assist in the long-term management of a valuable ecosystem resource.

Methods

This study was conducted over 14 months between March and April 2017 in Orange, NSW, Australia. The study evaluated sheep behaviour in relation to the presence of pasture species, environment and paddock structures, using random forest modelling, to predict sheep location under continuous high (HSR, 13 DSE ha−1) and low (LSR, 7 DSE ha−1) stocking rates.

Results

In the LSR, significant drivers included water, shade and fence lines (p < 0.01). In the HSR, only fence lines and available biomass were found to be significant (p < 0.01). The presence of green legumes in both stocking rates often increased residency by sheep. Animals spent more time together in the LSR, suggesting that social behaviour played a larger role than pasture quantity and quality in driving grazing behaviours.

Conclusions

Understanding how pasture type can influence grazing behaviours and also how animal behaviour affects pasture performance and utilisation is important in developing long-term sustainable management strategies on a paddock scale.

Abstract Image

了解羊的咩咩行为:调查牧场和动物放牧模式之间的关系
草原是放牧牲畜的主要饲料来源,因此,通过使用时空模型,了解如何最好地管理牲畜和草原,将有助于对宝贵的生态系统资源进行长期管理。方法本研究于2017年3月至4月在澳大利亚新南威尔士州奥兰治进行,为期14个月。该研究利用随机森林模型,评估了羊的行为与牧场物种、环境和围场结构的关系,以预测连续高(高海拔,13平方平方平方公顷−1)和低(低海拔,7平方平方平方公顷−1)放养率下羊的位置。结果在LSR中,水、树荫和栅栏线是显著的驱动因素(p < 0.01)。在高铁地区,只有栅栏线和可利用生物量显著(p < 0.01)。在两种放养率中,绿色豆科植物的存在往往增加了羊的居住。动物在LSR中花更多的时间在一起,这表明社会行为比牧场数量和质量在驱动放牧行为方面发挥更大的作用。了解牧场类型如何影响放牧行为,以及动物行为如何影响牧场性能和利用,对于制定围场规模的长期可持续管理战略具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
0.70
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信