1Land Economy, Environment and Society Group,SRUC,EdinburghEH9 3JGUK.
2Wageningen UR Livestock Research,8219 PH Lelystad,The Netherlands.
Animal. 2018 Feb;12(2):383-397. doi: 10.1017/S1751731117001847. Epub 2017 Aug 9.
The livestock sector is one of the fastest growing subsectors of the agricultural economy and, while it makes a major contribution to global food supply and economic development, it also consumes significant amounts of natural resources and alters the environment. In order to improve our understanding of the global environmental impact of livestock supply chains, the Food and Agriculture Organization of the United Nations has developed the Global Livestock Environmental Assessment Model (GLEAM). The purpose of this paper is to provide a review of GLEAM. Specifically, it explains the model architecture, methods and functionality, that is the types of analysis that the model can perform. The model focuses primarily on the quantification of greenhouse gases emissions arising from the production of the 11 main livestock commodities. The model inputs and outputs are managed and produced as raster data sets, with spatial resolution of 0.05 decimal degrees. The Global Livestock Environmental Assessment Model v1.0 consists of five distinct modules: (a) the Herd Module; (b) the Manure Module; (c) the Feed Module; (d) the System Module; (e) the Allocation Module. In terms of the modelling approach, GLEAM has several advantages. For example spatial information on livestock distributions and crops yields enables rations to be derived that reflect the local availability of feed resources in developing countries. The Global Livestock Environmental Assessment Model also contains a herd model that enables livestock statistics to be disaggregated and variation in livestock performance and management to be captured. Priorities for future development of GLEAM include: improving data quality and the methods used to perform emissions calculations; extending the scope of the model to include selected additional environmental impacts and to enable predictive modelling; and improving the utility of GLEAM output.
畜牧业是农业经济中增长最快的子行业之一,虽然它为全球粮食供应和经济发展做出了重大贡献,但也消耗了大量的自然资源并改变了环境。为了提高我们对全球牲畜供应链环境影响的理解,联合国粮食及农业组织开发了全球牲畜环境评估模型(GLEAM)。本文旨在对 GLEAM 进行综述。具体来说,它解释了模型的架构、方法和功能,即模型可以执行的分析类型。该模型主要侧重于量化 11 种主要牲畜商品生产过程中产生的温室气体排放。模型的输入和输出作为栅格数据集进行管理和生成,空间分辨率为 0.05 度小数。全球牲畜环境评估模型 v1.0 由五个不同的模块组成:(a) 畜群模块;(b) 粪便模块;(c) 饲料模块;(d) 系统模块;(e) 分配模块。就建模方法而言,GLEAM 具有几个优势。例如,牲畜分布和作物产量的空间信息可用于得出反映发展中国家当地饲料资源可用性的饲料配给。全球牲畜环境评估模型还包含一个畜群模型,可用于对牲畜统计数据进行细分,并捕捉牲畜性能和管理的变化。GLEAM 未来发展的重点包括:提高数据质量和执行排放计算所使用的方法;扩大模型的范围,包括选定的其他环境影响,并能够进行预测建模;以及提高 GLEAM 输出的实用性。