Literature DB >> 28789724

Invited review: A position on the Global Livestock Environmental Assessment Model (GLEAM).

M J MacLeod1, T Vellinga2, C Opio3, A Falcucci3, G Tempio3, B Henderson4, H Makkar3, A Mottet3, T Robinson5, H Steinfeld3, P J Gerber2.   

Abstract

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.

Keywords:  climate change; environmental assessment; life-cycle analysis; livestock; models

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Substances:

Year:  2017        PMID: 28789724     DOI: 10.1017/S1751731117001847

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  4 in total

Review 1.  A Comparative Overview of the Livestock-Environment Interactions in Asia and Sub-saharan Africa.

Authors:  Joachim Otte; Ugo Pica-Ciamarra; Subhash Morzaria
Journal:  Front Vet Sci       Date:  2019-02-22

2.  Revisiting enteric methane emissions from domestic ruminants and their δ13CCH4 source signature.

Authors:  Jinfeng Chang; Shushi Peng; Philippe Ciais; Marielle Saunois; Shree R S Dangal; Mario Herrero; Petr Havlík; Hanqin Tian; Philippe Bousquet
Journal:  Nat Commun       Date:  2019-07-31       Impact factor: 14.919

3.  Forage agronomists are needed in animal science departments.

Authors:  Michael L Looper; John A Jennings; J Daniel Rivera
Journal:  Transl Anim Sci       Date:  2022-01-29

Review 4.  Microalgae as Sources of High-Quality Protein for Human Food and Protein Supplements.

Authors:  Yanwen Wang; Sean M Tibbetts; Patrick J McGinn
Journal:  Foods       Date:  2021-12-04
  4 in total

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