Estimating livestock biomass across diverse populations and data ecosystems.

IF 1.9 4区 农林科学 Q2 VETERINARY SCIENCES Revue Scientifique et Technique-Office International Des Epizooties Pub Date : 2024-08-01 DOI:10.20506/rst.43.3514
Y Li, D Mayberry, J Rushton
{"title":"Estimating livestock biomass across diverse populations and data ecosystems.","authors":"Y Li, D Mayberry, J Rushton","doi":"10.20506/rst.43.3514","DOIUrl":null,"url":null,"abstract":"<p><p>Estimates of livestock biomass can be used as denominators in disease burden estimates, in addition to informing assessments of resource use and environmental impacts. This article explores the challenges of accurately estimating biomass across different scales and data ecosystems, with a particular focus on the use of biomass in the Global Burden of Animal Diseases programme. The greatest of these challenges is a lack of subgroup (breed, age, sex)-specific data on populations and liveweights at national and subnational level. This can be overcome by using global datasets and generic estimates of liveweight for each species, though this approach fails to account for the diversity of livestock systems.</p>","PeriodicalId":49596,"journal":{"name":"Revue Scientifique et Technique-Office International Des Epizooties","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revue Scientifique et Technique-Office International Des Epizooties","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.20506/rst.43.3514","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Estimates of livestock biomass can be used as denominators in disease burden estimates, in addition to informing assessments of resource use and environmental impacts. This article explores the challenges of accurately estimating biomass across different scales and data ecosystems, with a particular focus on the use of biomass in the Global Burden of Animal Diseases programme. The greatest of these challenges is a lack of subgroup (breed, age, sex)-specific data on populations and liveweights at national and subnational level. This can be overcome by using global datasets and generic estimates of liveweight for each species, though this approach fails to account for the diversity of livestock systems.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
估算不同种群和数据生态系统的牲畜生物量。
对牲畜生物量的估算可用作疾病负担估算的分母,此外还可为资源利用和环境影响评估提供信息。本文探讨了在不同规模和数据生态系统中准确估算生物量所面临的挑战,尤其关注生物量在全球动物疾病负担计划中的应用。其中最大的挑战是缺乏国家和国家以下级别的特定亚群(品种、年龄、性别)种群和活重数据。可以通过使用全球数据集和每个物种活重的通用估计值来克服这一问题,但这种方法无法考虑到牲畜系统的多样性。
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 去求助
来源期刊
CiteScore
2.40
自引率
0.00%
发文量
22
审稿时长
>24 weeks
期刊介绍: The Scientific and Technical Review is a periodical publication containing scientific information that is updated constantly. The Review plays a significant role in fulfilling some of the priority functions of the OIE. This peer-reviewed journal contains in-depth studies devoted to current scientific and technical developments in animal health and veterinary public health worldwide, food safety and animal welfare. The Review benefits from the advice of an Advisory Editorial Board and a Scientific and Technical Committee composed of top scientists from across the globe.
期刊最新文献
A Collaborating Centre for animal health economics in the Americas. A methodological framework for attributing the burden of animal disease to specific causes. Application of Global Burden of Animal Diseases methods at country level: experiences of the Ethiopia case study. Burden assessment of antimicrobial use and resistance in livestock in data-scarce contexts. Estimating livestock biomass across diverse populations and data ecosystems.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1