Agricultural Science Digest

  • Chief EditorArvind kumar

  • Print ISSN 0253-150X

  • Online ISSN 0976-0547

  • NAAS Rating 5.52

  • SJR 0.156

Frequency :
Bi-monthly (February, April, June, August, October and December)
Indexing Services :
BIOSIS Preview, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus
Agricultural Science Digest, volume 41 issue 4 (december 2021) : 523-530

​Climate Change Impacts on Animal Production and Contribution of Animal Production Sector to Global Climate Change: A Review

Belete Kuraz1,*, Mulugeta Tesfaye1, Sharew Mekonenn1
1Department of Animal Science, Werabe University, P.O. Box 46, Werabe, Ethiopia.
Cite article:- Kuraz Belete, Tesfaye Mulugeta, Mekonenn Sharew (2021). ​Climate Change Impacts on Animal Production and Contribution of Animal Production Sector to Global Climate Change: A Review . Agricultural Science Digest. 41(4): 523-530. doi: 10.18805/ag.D-344.
Global demand for animal products is extremely increasing in the future period, which mainly because of improvement in the global standard of living. In the meantime, global climate change is a pressure to animal production due to the impact on quality of forages, water availability, animal and milk production, animal health, animal reproduction and biodiversity. This paper reviews the impacts of climate change on animal production and converse contributions of animal production sector to global climate variation and specific climate change adaptation and mitigation strategies in animal production sector. Global climate change will affect animal production and consequently food security mainly in tropical regions. This paper also reviewed that, converse contribution of animal production sector in emission of GHGs to the atmosphere for global climate change. Therefore, global climate change adaptation, mitigation practices and policy frameworks are critical to protect animal production.
Global demand for animal products is expected to increase extremely in the future period, which mainly because of advancement in the global standard of living. Animal products are an important agricultural commodity for global food security since they provide 17% of global kilocalorie consumption and 33% of global protein consumption (Rosegrant et al., 2009; Mottet et al., 2017). This sector contributes to the livelihoods of 1 billion poorest populations and 1.1 billion employs in the world (Hurst et al., 2005). There is an increasing demand for animal products in developing countries (Thornton, 2010; Wright et al., 2012). For instance, worldwide milk production will be increased from 664 million tonnes (2006) to 1077 million tonnes and meat production will double from 258 to 455 million tonnes by 2050 (Alexandratos and Bruinsma, 2012).
       
Animal production is adversely affected by climate change, competition for land and water and food security at a time when it is most needed (Garnett, 2009; Thornton, 2010; Kovats et al., 2014). For that reason, the challenge is to maintain a balance between productivity, household food security and environmental preservation (Wright et al., 2012). According to Intergovernmental Panel on Climate Change (IPCC) (2013), the global climate change is mainly caused by greenhouse gas (GHG) emissions that result in warming of the atmosphere. Animal production sector contributes 14.5% of global GHG emissions (Gerber et al., 2013) and it may increase land degradation, air and water pollution and declines in biodiversity (Steinfeld et al., 2006; Reynolds et al., 2010; Bellarby et al., 2013).
       
There is an increasing interest in understanding the interaction of climate change and animal production (Aydinalp and Cresser, 2008). However, there is limited research and review has been conducted regarding the impacts of climate change on animal production and contribution of animal production in green house gases (GHG) emission to the atmosphere for climate variation (IPCC, 2014). Therefore, this paper reviews the impacts of climate change on animal production and food security and animal production sector’s contribution to climate alteration. The objectives are to: (1) address the impacts of climate change on animal production; (2) describe the impacts of animal production sector on climate change and (3) sum up climate change adaptation and mitigation strategies.
 
Impact of climate change on animal production
 
The impact of climate change on animal production includes changes in production and quality of forages (Rowlinson, 2008; Thornton et al., 2009; Stokes et al., 2010; Chapman et al., 2012 ; Polley et al., 2013; Mottet et al., 2017), water accessibility (Nardone et al., 2010; Henry et al., 2012),  animal growth and milk production (Aydinalp and Cresser, 2008; Henry et al., 2012), diseases (Thornton et al., 2009; Nardone et al., 2010), reproduction (Olori et al., 2002;  Nardone et al., 2010) and biodiversity (Reynolds et al., 2010). These impacts are primarily due to an increase in temperature and atmospheric carbon dioxide (CO2) concentration, precipitation variation and a combination of these factors (IFAD, 2010; Henry et al., 2012; Polley et al., 2013). Generally, climate change affects animal production through a negative impact on- quantity and quality feeds, water accessibility, animal reproduction and health, heat stress, biodiversity as explained below:-
 
Quantity and quality of feeds
 
Chapman et al., (2012) described that, quantity and quality of feed will be affected largely due to an increase in atmospheric temperature and CO2 levels. Climate change consequences on animal feeds quantity and quality are dependent on location, animal production system and species (IFAD, 2010). Similarly, Sanz-Saez et al., (2012);  Craine et al., (2017) noted that, increasing global temperature and declining precipitation results decreased forage or grass crude protein content and increased the ratio of digestible organic matter to crude protein (nitrogen) content.
       
On the other hand, Hatfield and Prueger (2011); Thornton et al., (2015) noted that, increasing CO2 concentration will result in changes herbage growth, with greater effect on C3 species (temperate plants) and less on grain yields. C4 (tropical plants) forage species are found in hot environments has higher water use efficiency than C3 plants. Temperature changes and CO2 levels will affect the composition of pastures by altering the species competition dynamics due to changes in optimal growth rates (Howden et al., 2008; McKeon et al., 2009; IFAD, 2010; Thornton et al., 2015). Quality of forages may be affected by increased temperature and dry conditions due to variations in concentrations of water-soluble carbohydrates and nitrogen. Temperature increases may increase lignin and cell wall components in plants (Polley et al., 2013), which reduce digestibility and degradation rates (IFAD, 2010; Polley et al., 2013), leading to a decrease in nutrient availability for animals (Thornton et al., 2009). In general, impacts of climate change on forage quantity and quality depend on the region and length of growing season (Thornton et al., 2009; Polley et al., 2013). Temperature increase leads a decrease in forage quality can increase methane emissions per unit of gross energy consumed (Benchaar et al., 2001).
 
Water accessibility
 
Climate change impacts will have a substantial effect on global water availability in the future. This will not only influence animal drinking water sources, but it also affects their feed production systems and pasture yield (Thornton et al., 2008; Thornton et al., 2009; Gaughan, 2017). Animal production sector accounts for about 8% of global human water use and an increase in temperature may increase animal water consumption so, to address this issue, there is a need to produce crops and raise animals that demands less water or in places with water abundance (Nardone et al., 2010).
 
Animal diseases
 
Increasing temperature may increase exposure and vulnerability of animals to parasites and different diseases (Tubiello et al., 2008; McKeon et al., 2009; Henry et al., 2012), especially vector borne diseases (Tabachnick, 2010). Many important animal diseases are affected directly or indirectly by weather and climate. These links may be spatial (with climate affecting distribution) or temporal (with weather affecting the timing of an outbreak), or may relate to the intensity of an outbreak (Baylis and Githeko, 2006). Understanding the complex interactions between pathogens, vectors, host and climate is difficult due to the multivariate nature of climate change and the non linear thresholds in both disease and climate processes (Patz et al., 2008; Mills et al., 2010). Therefore, the ability to predict the effect of climate change on disease is difficult to achieve (Randolph, 2008; Mills et al., 2010; Tabachnick, 2010).
 
Heat stress
 
Though, animals can keep their body temperature within a range of ±0.5°C during the day (Pörtner and Knust, 2007; Henry et al., 2012; Pasqui and Di Giuseppe, 2019); when temperature increases more than the upper critical temperature of the range (varies by species type), the animals begin to suffer heat stress and their normal behavioral, immunological and physiological functions are potentially impacted (Nienaber and Hahn, 2007; FAO, 2017). The stress response is influenced by species, breed and previous exposure and health status, level of performance, body condition, mental state and age factors. In addition, when animals are exposed to thermal stress, metabolic and digestive functions are often compromised due to altered feeding activity (Mader, 2003). These effects could potentially result in changes in types of animals and genotypes that are used (Gaughan et al., 2009).
       
Warm and humid conditions cause heat stress, which affects behavior and metabolic variations on animals or even mortality. Generally, heat stress have a significant negative influences on animals-feed nutrient utilization (Mader, 2003), feed intake (Mader and Davis, 2004; Thornton et al., 2009), animal production (Kadzere et al., 2002; Berman, 2005; Summer et al., 2019), reproduction(Wolfenson et al., 2000; Hansen, 2007; Naqvi et al., 2012), health (Bernabucci et al., 2006; Nardone et al., 2010; Lacetera, 2019) and mortality (Sirohi and Michaelowa, 2007; Howden et al., 2008). Thus, all of these influences lead to economic loss (St-Pierre et al., 2003).
 
Biodiversity destruction
 
Decreasing (loss) of populations in genetic biodiversity is mainly due to by change in climate (UNEP, 2012). Climate change may eradicate 15% to 37% of all species in the world (Thomas et al., 2004). Animals’ reproduction, migration, mortality and distribution is affected by temperature increases (Steinfeld et al., 2006). The loss of genetic and cultural diversity in farm animals occurred as a result of climate change (Ehrenfeld, 2005). An increase of 2-3°C in pre-industrial levels may result in 20-30% loss of biodiversity of plants and animals (IPCC, 2007; IPCC, 2014). Around 16% of livestock breeds (buffalo, cattle, goat, pig, sheep and horse) were lost in 2000 (Thornton et al., 2009). In addition, from 7,616 farm animals breeds reported, 20% were at risk and almost one breed per month was being extinguished (FAO, 2007).
 
Agro-ecological zones
 
Agro ecological zones (AEZs) are broadly classified into five categories such as tropics, subtropics, temperate, boreal and arctic (FAO, 1996). Climate change variations and impacts on animal production are not necessarily associated with the AEZs or even can be significantly different within an AEZ, which makes it difficult to generalize the impacts of climate change on AEZs. Higher temperatures will directly affect animal production by changing their migration pattern and reproduction time. Therefore, animal species with restricted habitat, small population, limited mobility and low breeding rates will be the most vulnerable (Steinfeld et al., 2006).
       
The majority of worldwide animals are found in tropics and subtropics AEZs, especially in arid or semi-arid regions, where climate conditions hamper animal productivity and yield; even though the largest numbers of farm animals are found in the tropics and subtropics AEZs, the largest productivity is found in the temperate AEZs (Herrero et al., 2012). On the other hand, in the boreal AEZs, the impacts of climate change on crop and animal productions are generally positive (Bajz¡elj and Richards, 2014).
 
Impact of animal production on climate change
 
Animal production sector contributes 14.5% of global greenhouse gases (GHG) emissions and they influence climate through land use change, feed production, animal production, manure and processing and transport. Feed production and manure emit CO2, nitrous oxide (N2O) and methane (CH4), which consequently affects climate change (IPCC, 2007; Gerber et al., 2013). This sector often associated with negative environmental impacts such as land degradation, air and water pollution and biodiversity destruction (Steinfeld et al., 2006; Reynolds et al., 2010; Thornton and Gerber, 2010; Bellarby et al., 2013). An increase in animal production is expected to derive from a declining natural resource base, which will cause further environmental damage with no proper natural resources management (Thornton and Herrero, 2010a).
 
GHG emissions
 
Animal production has a great contribution for GHG emissions while, the production of beef (41%) and milk (29%) is responsible for the majority of the emissions at global level; whereas, pork and poultry eggs contribute 9 and 8% of the emissions of the sector respectively (FAO, 2006; FAO, 2013). The primary GHG emissions are CO2 (27%), CH4 (44%) and N2O (29%) (Gill and Smith, 2008; Gerber et al., 2013). This sector contributes GHG emission directly and indirectly to the atmosphere through animal physiology, animal housing, manure storage, manure treatments, land application and chemical fertilizers (Dourmad et al., 2008; Casey et al., 2006; Opio et al., 2011; Henry et al., 2012; Mottet et al., 2017). Direct emissions from animal sources include enteric fermentation, respiration and excretions (Jungbluth et al., 2001). Indirect emissions refers to emissions derived from feed crops, manure application, farm operations, animal products processing, transportation and land use allocation for animal production (IPCC, 1997).  Enteric fermentation is the largest contributor of the sector’s emissions (39.1%,) followed by manure management, application and direct deposit (25.9%), feed production (21.1%) land use change (9.2%), post-farm gate (2.9%) and direct and indirect energy (1.8%) (Gerber et al., 2013). However, contribution to GHG emissions varies depending on the type of farming system and region.
 
Adaptation practices
 
It involves production and management system modifications, breeding strategies, institutional and policy changes, science and technology advances and changing farmers’ perception and adaptive capacity (Rowlinson, 2008; IFAD, 2010; USDA, 2013). Adding oil supplements to ruminant animal diets particularly for dairy cattle is important for reducing enteric methane (Eckard et al., 2010; Martin et al., 2010; Grainger and Beauchemin 2011; Moate et al., 2011). Likewise, net reduction of animal numbers should be appropriate for inclusion as an offset method for reducing both methane and N2O emission (Eckard et al., 2010). In a study by FAO (2008), Thornton et al., (2008), Sidahmed (2008), the following have been identified as ways to increase adaptation in the animal production sector:
 
Animal production and management systems
 
Resourceful and affordable adaptation practices have to be developed for rural poor produces that are not able to buy expensive adaptation technologies. Providing natural (low cost) shade instead of high cost air conditioning is more applicable to rural poor producers; lower number of farm animals having more productive animals will cause more efficient production and lesser emission of GHG (Batima, 2006). An adaptation which is the modification of production and management systems involves diversification of farm animals and crops, integration of animal farming systems with forestry and crop production and changing the timing and locations of farm operations (IFAD, 2010).
       
Diversification of farm animals and crop varieties can increase drought and heat wave tolerance and may increase animals production when animals are exposed to temperature and precipitation stresses. In addition, this diversity of crops and animals is effective in fighting against climate change related diseases and pest outbreaks (Kurukulasuriya and Rosenthal, 2003; Batima, 2006; IFAD, 2010). Generally, change in animals herd composition (large animal versus small animal, etc.) and improved management of water resources through the introduction of simple techniques for localized irrigation (e.g. drip and sprinkler irrigation), accompanied with infrastructure to harvest and store rainwater, such as small superficial and underground dams, tanks connected to the roofs of houses etc. will an effective adaptation practices for thermal global climate changes.
 
Breeding strategies
 
Changes in breeding strategies can help animals to increase their tolerance to heat stress, diseases and improve their reproduction and growth development (Rowlinson, 2008; Hoffmann, 2008; Henry et al., 2012). Therefore, the challenge is in increasing animal production while maintaining the valuable adaptations offered by breeding strategies (Thornton et al., 2008). In addition, policy measures that improve adaptive capacity by facilitating implementation of adaptation strategies will be vital (USDA, 2013).
 
Mitigation measures
 
According to a study by FAO (2008), mitigation of GHG emissions in the animal production sector can be accomplished through a variety of activities such as:  different animal feeding management, manure management (collection, storage, spreading), management of feed crop production. On the other hand, Gerber et al., (2013) noted that, there is potential to reduce animal production sector GHG emissions through the implementation of different technologies and practices if we widely used. Generally, technical options for mitigating the impact of farm animals on climate change are listed as follows:
 
Carbon sequestration
 
Considering the importance of rangelands in land uses, herders and pastoralists could play a crucial role in soil carbon sequestration (Tennigkeit and Wilkes, 2008). Therefore, environmental friendly rangeland practices have a relevant potential to sequester carbon. On the other hand, Milchunas and Lauenroth (1989); FAO (2008) reported that, gazing can either have a positive or negative impact on rangeland vegetation and soils, depending on climatic characteristics of rangeland ecosystems and grazing history and effectiveness of management. Carvalho et al., (2004) noted that, carbon sequestration can be achieved through decreasing deforestation rates, reversing of deforestation by replanting targeting for high yielding crops with better climate change adapted varieties and improvement of land and water management (Steinfeld et al., 2006).
       
Similarly, Steinfeld et al., (2006) explained that, soil organic carbon can be restored in cultivated soils through conservation tillage, erosion reduction, soil acidity management, double-cropping, crop rotations, higher crop residues, mulching and more improving pasture management can also lead to carbon sequestration by incorporating trees, improving plant species, legume inter seeding, introducing earthworms and fertilization (Conant et al., 2001; Conant and Paustian, 2002). In addition, grass productivity and soil carbon sequestration could be improved by increasing grazing pressure in grasslands that have a lower amount of grazing animals than the livestock carrying capacity (Holland et al., 1992; Tennigkeit and Wilkes, 2008).
 
Improving diets to reduce enteric fermentation
 
The composition of feed has some effect on the enteric fermentation and emission of CH4 from the rumen or the hindgut (Dourmad et al., 2008). Also the amount of feed intake is related to the amount of waste product. The higher proportion of concentrate in the diet results in a reduction of CH4 emission (Yan et al., 2000). Increasing dietary fat content, in  previous findings by Beauchemin et al., (2008); Martin et al., (2010) described that, one per cent increase of dietary fat can decrease enteric methane emissions between 4 to 5%,  on the other hand,  in a study conducted by Hristov et al., (2013), providing higher quality forage ply a great role in reduction of methane emissions because it increases digestibility, increasing protein content of feed can also improve digestibility and reduce overall methane emissions per unit of product (ICF International, 2013), providing supplements such as feed antibiotics, which tend to increase weight gain and reduce feed intake per metric ton of meat produced, can reduce enteric fermentation (Boadi et al., 2004) and the use of anti-methanogens is directly reduces methane emissions in the rumen (EPA, 2013). Differently, in another study done by ICF International (2013) described that, there is high uncertainty in the efficacy of these practices to the initial reductions of enteric fermentation achieved are only temporary.
 
Improving manure management
 
Improving management of animal manure through different mechanisms such as covered storage facilities and anaerobic treatment is important. The amount of GHG emission from manure (CH4, N2O and CH4 from liquid manure) will depend on the temperature and duration of the storage. Therefore long term storage in high temperature will result higher GHG emissions. In the case of ruminants, pasture grazing is an efficient way to reduce CH4 emission from manure, because no storage is necessary; once manure deposited on pasture can produce nitrous oxide emissions, the mitigation measures are often difficult to apply because of the manure dispersion on pasture (Swamy and Bhattacharya, 2006; FAO, 2008; Gerber et al., 2008; Dickie et al., 2014). Therefore, most mitigation practices involve shortening storage duration, improving timing and application of manure, used of anaerobic digesters, covering the storage, using a solids separator and changing the animal diets (ICF International, 2013).
       
In a study conducted by Dickie et al., (2014) described that, using other storage and handling practices can also reduce GHG emissions, such practices include reducing storage time, improving housing and waste management systems to handle manure and removing bedding from manure by using a solids separator. Hess et al., (2006); Dickie et al., (2014) also reported that, GHG emissions can be reduced by balancing dietary proteins and feed supplements. If protein intake is reduced, the nitrogen excreted by animals can also be reduced. Supplements such as tannins are also known to have the potential to reduce emissions. Tannins are able to displace the nitrogen excretion from urine to feces to produce an overall reduction in emissions.
 
More efficient use of fertilizers
 
As Dickie et al., (2014) explained that, nitrogen use efficiency can be improved by applying the required amount that the crop will absorb and when it needs the nutrients and placing it where the plant can easily reach it. Regular soil testing can be a part of a nutrient management plan depending on the region and crop and improve efficiency of nitrogen use.  Plant breeding and genetic modifications can reduce the use of fertilizers by increasing a crop’s nitrogen uptake (Dickie et al., 2014). On the other hand, Denef et al., (2011) described that, increasing the use of organic fertilizers would also decrease emissions because organic fertilizers do not produce as much nitrogen oxide as synthetic fertilizers Furthermore, fertilizer technology has improved through regulating the release of nutrients from the fertilizer and inhibiting nitrification to slow the degradation of the fertilizer and maintain the nutrients available for the plant. However, these technologically advanced fertilizers are more costly than the other practices mentioned above (Dickie et al., 2014). In the case of pasturelands, the use of synthetic nitrogen can be reduced by combining legumes with grasses. Legumes fix nitrogen through Rhizobium bacteria; therefore, the need for supplementary nitrogen is reduced (USDA-NRCS, 2007).
 
Shifting human dietary trends
 
Particularly in high income regions, dietary shifts could make a significant difference to emissions and other environmental impacts related to farm animals production. Using a number of diet and animal production scenarios, scientists in Sweden calculated the impacts of food production on land use and GHGs in 2030. They found that reducing meat consumption by 25% in high income regions and reducing food waste would be more successful than intensifying animal production in order to increase productivity per animal (Wirsenius et al., 2010). Similarly, in findings by Stehfest et al., (2009) noted that, a reduction in meat consumption may significantly reduce GHG emissions and Further analysis is needed to identify the best regional and global strategies for diet and what opportunities, costs and benefits could be derived from dietary shifts. But, mitigation measures need public policy support to be effective (Dickie et al., 2014).
Global climate change will affect animal production and productivity and consequently food security mainly in tropical regions. Conversely, animal production sector has its own contribution in global emissions of GHGs and they influence climate through land use change, feed production, animal production, manure and processing and transport. Therefore, global climate change adaptation, mitigation practices and policy frameworks are critical to protect animal production. But, the effectiveness of these practices in reducing emissions is uncertain and more research is needed concerning effective mitigation practices related to enteric fermentation. For instance, if we want effective adaptation and mitigation measures to address climate change and animal production, these measures must be scaled up through policy development including farmers and understanding their perceptions on food security improvement and environmental conservation by promoting widespread practice adoption.

  1. Alexandratos, N., Bruinsma, J. (2012). World Agriculture Towards the 2012 Revision. Working Paper No. 12-03. FAO, Rome.

  2. Aydinalp, C., Cresser, M.S. (2008). The effects of climate change on agriculture. Agric. Environ. Sci. 5: 672-676.

  3. Bajz¡elj, B., Richards, K. (2014). The positive feedback loop between the impacts of climate change and agricultural expansion and relocation. Land. 3: 898-916. 

  4. Barnes, A., Bethea, D.M., Brodeur, R.D., Spitz, J., Ridoux, V., Pusineri, C., Chase, B.C. (2008). Market Segmentation in the Agriculture Sector: Climate Change, DEFRA Project. ADAS, UK.

  5. Batima, P. (2006). Climate change vulnerability and adaptation in the livestock sector of Mongolia. Assessments of impacts and adaptations to climate change. International Start Secretariat, Washington DC, US.

  6. Baylis, M., Githeko, A.K. (2006). Effects of climate change on infectious disease of animals. Foresight project- preparing for the future. London.

  7. Beauchemin, K.A., Kreuzer, M.O., Mara, C.F., McAllister, T.A. (2008). Nutritional management for enteric methane abatement: A Review. Australian Journal of Experimental Agriculture. 48: 21-27.

  8. Bellarby, J., Tirado, R., Leip, A., Weiss F., Lesschen J.P., Smith P. (2013). Livestock greenhouse gas emissions and mitigation potential in Europe. Glob. Change Biol. 19: 3-18.

  9. Benchaar, C., Pomar, C., Chiquette, J. (2001). Evaluation of dietary strategies to reduce methane production in ruminants: a modeling approach. Can. J. Anim. Sci. 81: 563-574.

  10. Berman, A.J. (2005). Estimates of heat stress relief needs for Holstein dairy cows. J. Anim. Sci. 83: 1377-1384.

  11. Bernabucci, C., Lacetera, N., Basirico, L., Ronchi, B. (2006). Hot season and BCS affect leptin secretion of periparturient dairy cows. Dairy Sci. 89: 348-349.

  12. Boadi, D., Benchaar, C., Chiquette, J., Massé, D. (2004). Mitigation strategies to reduce enteric methane emissions from dairy cows: update review. Can. J.Anim. Sci. 84: 319-335.

  13. Carvalho, G., Moutinho, P., Nepstad, D., Mattos, L., Santilli, M. (2004). Amazon perspective on the forest-climate connection: opportunity for climate mitigation, conservation and development? Environ. Dev. Sustainability. 6(1-2): 163-174.

  14. Casey, K., Bicudo, J.R., Schmidt, D.R., Singh, A., Gay, S.W. (2006). Air quality and emissions from livestock and poultry production/waste management systems. In: [Rice, J.M., Caldwell, D.F., Humenik, F.J. (Eds.)], Animal Agriculture and the Environment: National Center for Manure and Waste Management White P]’ [of Agricultural and Biological Engineers, St. Joseph, Mich, p. 40.

  15. Chapman, S., Chakraborty, S., Dreccer, M., Howden, S. (2012). Plant adaptation to climate change: opportunities and priorities in breeding. Crop Pasture Sci. 63: 251-268.

  16. Conant, R., Paustian, K. (2002). Spatial variability of soil organic carbon in grasslands: implications for detecting change at different scales. In Environmental Pollution 116: pp. 127-135.

  17. Conant, R.T., Paustian, K., Elliott, E.T. (2001). Grassland Management and Conversion in to Grassland: Effects on Soil Carbon. Ecological Applications. 11(2): 343-355.

  18. Craine, J, Elmore, A., Angerer, J. (2017). Long-term declines in dietary nutritional quality for North American cattle. Environmental Research Letters. 12: 044019.

  19. Denef, K., Archibeque, S., Paustian, K. (2011). Greenhouse Gas Emissions from U.S. Agriculture and Forestry: A Review of Emission Sources, Controlling Factors and Mitigation Potential: Interim Report to USDA under Contract.

  20. Dickie, A., Streck, C., Roe, S., Zurek, M., Haupt, F., Dolginow, A. (2014). Strategies for mitigating climate change in agriculture: Abridged report. Climate focus and california environmental associates, preferred with the support of the climate and land use Alliance.

  21. Dourmad, J., Rigolot, C., van der Werf, H. (2008). Emission of Greenhouse Gas: Developing Management and Animal Farming Systems to Assist Mitigation. In: Livestock and Global Climate Change Conference Proceeding. [Rowlinson, P., Steel, M., Nefzaoui, A. (Eds.)], Cambridge University Press, Tunisia, pp. 36-39.

  22. Eckard, R.J., Grainger, C.J., de Klein CAM. (2010). Options for the abatement of methane and nitrous oxide from ruminant production a review. Livestock Science. 130: 47-56. 

  23. Ehrenfeld, D. (2005). The Environmental Limits toGlobalization. Society for Conservation Biology. 19(2): 318-326.

  24. EPA (U.S. Environmental Protection Agency). (2013). Global Mitigation of Non-CO‚  Greenhouse Gases.

  25. FAO (Food and Agriculture Organization of the United Nations). (1996). Agro-Ecological Zoning Guidelines. Rome.

  26. FAO. (2006). Livestock a Major Threat to the Environment: Remedies Urgently Needed. Available.

  27. FAO. (2007). The State of the World’s Animal Genetic resources for Food and Agriculture: in Brief, Edited by Barbara Rischkowsky and Dafydd Pilling, Rome.

  28. FAO. (2008). Climate-related Transboundary Pests and Diseases Including Relevant Aquatic Species. Expert meeting, February, 2008.

  29. FAO. (2013). Climate-Smart Agriculture: Sourcebook. FAO, Rome. 

  30. FAO. (2017). GAEZ - Global Agro-Ecological Zones.

  31. Garnett, T. (2009). Livestock-related greenhouse gas emissions: impacts and options for policymakers. Environ. Sci. Policy. 12: 491-503.

  32. Gaughan, J. (2017). Projected impacts of climate changes and sustainability of sheep production systems. In Sheep production adapting to climate change [ed. Sejian, V., Bhatta, R., Gaughan, J., Malik, P.K., Naqvi, S.M.K. and Lal, R. ], pp. 189-196. 

  33. Gaughan, J., Lacetera, N., Valtorta, S.E., Khalifa, H.H., Hahn, L., Mader, T. (2009). Response of domestic animals to animal challenges. In ‘Biometeorology for Adaptation to Climate Variability and Change.

  34. Gerber, P.J., Steinfeld, H., Henderson, B., Mottet, A., Opio, C., Dijkman, J., Falcucci, A., Tempio, G. (2013). Tackling Climate Change through Livestock: A Global Assessment of Emissions and Mitigation Opportunities. FAO, Rome.

  35. Gill, M., Smith, P. (2008). Mitigating Climate Change: the role of livestock in agriculture. Livestock and Global Change Conference Proceeding. May 2008, Tunisia.

  36. Grainger, C., Beauchemin, K. (2011). Can enteric methane emissions from ruminants is lowered without lowering their production? :-  Animal Feed Science and Technology 166-167, 308-320. 

  37. Hansen, P.J. (2007). Exploitation of genetic and physiological determinants of embryonic resistance to elevated temperature to improve embryonic survival in dairy cattle during heat stress. Theriogenology. 68(4): S242-S249.

  38. Hatfield, J., Prueger, J. (2011). Agroecology: implications for plant response to climate change. In: Yadav, et al. (Eds.), Crop Adaptation to Climate Change. Wiley-Blackwell, Chichester, UK, pp. 27 43.

  39. Henry, B., Charmley, E., Eckard, R., Gaughan, J.B., Hegarty, R. (2012). Livestock production in a changing climate: adaptation and mitigation research in Australia. Crop Pasture Sci. 63: 191-202.

  40. Herrero, M., Havlík, P., Valin, H., Notenbaert, A., Mariana C., Rufino, Philip, K. (2012). Drivers of Change in Crop-Livestock Systems and Their Potential Impacts on Agro-Ecosystems Services and Human Wellbeing to 2030: A Study Commissioned by the CGIAR System wide Livestock Program. International Livestock Research Institute, Nairobi, Kenya.

  41. Hess, H., Tiemann, T., Noto, F., Carulla, J., Kreuzer, M. (2006). Strategic use of tannins as means to limit methane emission from ruminant livestock. International Conference on Greenhouse Gases and Animal Agriculture, Elsevier International Congress  Series, Zurich, Switzerland. 1293: 164-167.

  42. Hoffmann, I. (2008). Livestock Genetic Diversity and Climate Change Adaptation. Livestock and Global Change Conference Proceeding. May 2008, Tunisia.

  43. Holland, E., Parton, W., Detling, J., Coppock, D. (1992). Physiological responses of plant populations to herbivory and their consequences for ecosystem nutrient flow. Am. Nat. 140(4): 85-706.

  44. Howden, S., Crimp, S., Stokes, C. (2008). Climate change and Australian livestock systems: impacts, research and policy issues. Australian Journal of Experimental Agriculture. 48: 780-788. 

  45. Hristov, A., Oh, J., Firkins, J.L., Dijkstra, J., Kebreab, E., et al. (2013). Mitigation of Methane and Nitrous Oxide Emissions from Animal Operations: I A review of enteric methane mitigation options. American Society of Animal Science. Vol. 91.

  46. Hurst, P., Termine, P., Karl, M. (2005). Agricultural Workers and their Contribution to Sustainable Agriculture and Rural Development. FAO, Rome. 

  47. ICF International. (2013). Greenhouse Gas Mitigation Options and Costs for Agricultural Land and Animal Production Within the United States.

  48. IFAD (International Fund for Agricultural Development). (2010). Livestock and Climate Change. 

  49. IPCC (Intergovernmental Panel on Climate Change). (1997). Program on National Greenhouse Gas Inventories. 

  50. IPCC. (2007). Climate Change 2007: Synthesis report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the IPCC [Core writing team: Pachauri, R.K. and Reisinger, A. (Eds.)]. Geneva, Switzerland

  51. IPCC. (2013). Climate Change 2013: The physical science basis. In: Stocker et al. (Eds.), Contribution of Working Group I to the Fifth Assessment Report of the IPCC. Cambridge University Press, Cambridge, United Kingdom and New York, USA, p. 1535. 

  52. IPCC. (2014). Climate Change 2014: impacts, adaptation and vulnerability. Part A: global and sectoral aspects. In: Field, C.B et al., (Eds.), Contribution of Working Group II to the Fifth Assessment Report of the IPCC. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, p. 1132.

  53. Jungbluth, T., Hartung, E., Brose, G. (2001). Greenhouse gas emissions from animal houses and manure stores. Nutr. Cycl. Agroecosyst. 60: 133-145.

  54. Kadzere, C.T., Murphy, M.R., Silanikove, N., Maltz, E. (2002). Heat stress in lactating dairy cows: A review. Liv. Prod. Sci. 77: 59-91.

  55. Kovats, R.S. et al. (2014). Climate Change 2014: Impacts, Adaptation and Vulnerability. Part B: Regional Aspects. Contribution of Working Group II to the Fifth Assessment Report of the IPCC, Cambridge University Press, Cambridge, United Kingdom and New York, pp. 1267-1326.

  56. Kurukulasuriya, P., Rosenthal, S. (2003). Climate change and agriculture: A review of impacts and adaptations. Climate Change Series Paper No. 91, World Bank, Washington DC.

  57. Lacetera, N. (2019). Impact of heat stress on animal health and welfare. Anim. Front. 9(1): 26-31.

  58. Mader, TL. (2003). Environmental stress in confined beef cattle. J. Anim. Sci. 81: 110-119.

  59. Mader, T.L., Davis, M.S. (2004). Effect of management strategies on reducing heat stress of feedlot cattle: feed and water intake. J. Anim. Sci. 82: 3077-3087.

  60. Martin, C., Morgavi, D.P., Doreau, M. (2010). Methane mitigation in ruminants: from microbe to the farm scale. Animal 4: 351-365. 

  61. McKeon, G.M., Stone, G.S., Syktus, J.I., Carter,  J.O., Flood, N.R, Ahrens,  D.G., Bruget, D.N., Chilcott, C.R., Cobon,  D.H., Cowley, R.A., Crimp,  S.J., Fraser, G.W., Howden, S.M., Johnston,  P.W., Ryan, J.G., Stokes,  C.J., Day, K.A. (2009). Climate change impacts on northern Australian rangeland livestock carrying capacity: a review of issues. The Rangeland Journal 31: 1-29. 

  62. Milchunas, D., Lauenroth, W. (1989). Quantitative effects of grazing on vegetation and soils over a global range of environments. In Ecological Monographs 63(4): 328-366.

  63. Mills, J.N., Gage, K.L., Khan, A.S. (2010). Potential influence of climate change on vector-borne and zoonotic diseases: a review and proposed research plan. Environmental Health Perspectives. 118: 1507-1514. 

  64. Moate, P.J., Williams, S., Grainger, C., Hannah, M.C., Ponnampalam, E.N., Eckard, R.J. (2011). Influence of cold-pressed canola, brewers grains and hominy meal as dietary supplements suitable for reducing enteric methane emissions from lactating dairy cows. Animal Feed Science and Technology. 166-167, 254-264. 

  65. Mottet, A., de Haan, C., Falcucci, A., Tempio, G., Opio, C., Gerber, P. (2017). Livestock on our plates or eating at our table? A new analysis of the feed/ food debate. Global Food Security 14: 1-8.

  66. Naqvi, S., Kumar, D., Paul, K., Sejian, V. (2012). En-vironmental stresses and livestock reproduction. In: Environ-mental stress and amelioration in livestock production. Sejian, V., (Eds), Germany, pp 97-128.

  67. Nardone, A., Ronchi, B., Lacetera, N., Ranieri, M.S., Bernabucci, U. (2010). Effects of climate change on animal production and sustainability of livestock systems. Livest. Sci. 130: 57-69.

  68. Nienaber, J., Hahn, G. (2007). Livestock production system management responses to thermal challenges. International Journal of Biometeorology. 52: 149-157. 

  69. Olori, E., Meuwissen, T.H.E. and Veerkamp, R.F. (2002). Calving interval and survival breeding values as measure of cow fertility in a pasture-based production system with seasonal calving. J. Dairy Sci. 85: 689-696.

  70. Opio, C., Gerber, P., Steinfeld, H. (2011). Livestock and the environment: addressing the consequences of livestock sector growth. Advances in Animal Biosciences 2: 601-607.

  71. Pasqui, M., Giuseppe, E. (2019). Climate change future warming and adaptation in Europe. Anim. Front. 9(1): 6-11.

  72. Patz, J., Olson, S., Uejio, C., Gibbs, H. (2008). Disease emergence from global climate and land use change. Medical Clinics of North America B. 1473-1491.

  73. Polley, H., Briske, D., Morgan, A., Wolter, K., Bailey, W., Brown, R. (2013). Climate change and North American rangelands: trends, projections and implications. Rangeland Ecol. Manage. 66: 493-511.

  74. Pörtner, O., Knust, R. (2007). Climate change affects marine fish through the oxygen limitation of thermal tolerance. Science 315: 95-97. 

  75. Randolph, S. (2008). Dynamics of tick-borne disease systems: minor role of recent climate change. Rev. Sci. Technol. Oie. 27: 367-381.

  76. Reynolds, C., Crompton, L., Mills, J. (2010). Livestock and climate change impacts in the developing world. Outlook Agric. 39: 245-248.

  77. Rosegrant, M., Fernandez, M., Sinha, A. (2009). Looking into the future for agriculture and AKST. In: International Assessment of Agricultural Knowledge, Science and Technology for Development. [McIntyre, B., Herren, H., Wakhungu, J., Watson, R. (Eds.)], Agriculture at a crossroads, Island Press, Washington, DC, pp. 307-376.

  78. Rowlinson, P. (2008). Adapting livestock production systems to climate change: temperate zones. In: Livestock and Global Climate Change Conference Proceeding. [Rowlinson, P., Steel, M., Nefzaoui, A. (Eds.)],Cambridge University Press, Tunisia, pp. 61-63.

  79. Sanz-Saez, A., Erice, G., Aguirreolea, J., Muñoz, F., Sanchez-Diaz, M., Irigoyen, J. (2012). Alfalfa forage digestibility, quality and yield under future climate change scenarios vary with Sinorhizobium meliloti strain. Plant Physiol. 169: 782-788.

  80. Sidahmed, A. (2008). Livestock and Climate Change: Coping and Risk Management Strategies for a Sustainable Future: In Livestock and Global Climate Change conference proceeding; Tunisia.

  81. Sirohi, S., Michaelowa, A. (2007). Sufferer and cause: Indian livestock and climate change. Climatic Change 85: 285-298.

  82. Stehfest, E., Bouwman, L., van Vuuren, D., den Elzen, M., Eickhout, B., Kabat, P. (2009). Climate benefits of changing diet. Climatic Change. 95 (1-2): 83-102.

  83. Steinfeld, H., Gerber, P., Wassenaar, T., Castel, V., Rosales, M., Haan, C. (2006). Livestock’s Long Shadow: Environmental Issues and Options. FAO, Rome.

  84. Stokes, C.J., Crimp, S., Giffird, R., Ash, A.J., Howden, S.M. (2010). Broad acre grazing: In ‘Adapting Agriculture to Climate Change’. (Eds Stokes, Howden) pp. 153-170. (CSIRO Publishing: Melbourne).

  85. St-Pierre, N., Cobanov, B., Schnitkey, G. (2003). Economic losses from heat stress by US livestock industries. J. Dairy Sci. 86: E52-E77. 

  86. Summer, A., Lora, P., Formaggioni Gottardo, F. (2019). Impact of heat stress on milk and meat production. Anim. Front. 9(1): 39-46.

  87. Swamy, M., Bhattacharya, S. (2006). Budgeting anthropogenic greenhouse gas emission from Indian livestock using country-specific emission coefficients. Curr. Sci. 91(10): 1340-1353.

  88. Tabachnick, W. (2010). Challenges in predicting climate and environmental effects on vector-borne disease episystems in a changing world. J. Experimental Biol. 213: 946-954. 

  89. Tennigkeit, T., Wilkies, A. (2008). Carbon Finance in Rangelands. ICRAF.

  90. Thomas, C. et al. (2004). Extinction risk from climate change. Nature/ 427: 145-148.

  91. Thornton P., Herrero M., Freeman A., Mwai O., Rege E., Jones P. and McDermott J. (2008). “Vulnerability, Climate change and Livestock- Research Opportunities and Challenges for Poverty Alleviation”. ILRI, Kenya.

  92. Thornton, P., Gerber, J. (2010). Climate change and the growth of the livestock sector in developing countries. Mitigation. Adapt. Strategies Global Change 15: 169-184.

  93. Thornton, P., Herrero, M. (2010a). Potential for reduced methane and carbon dioxide emissions from livestock and pasture management in the tropics. Proc.Natl. Acad. Sci. U.S.A 107(46): 19667-19672.

  94. Thornton, P., Van de Steeg, J., Notenbaert, A., Herrrero, M. (2009). The impacts of climate change on livestock and livestock systems in developing countries: A review of what we know and what we need to know. Agric. Syst. 101: 113- 127.

  95. Thornton, P.K. (2010). Livestock production: recent trends, future prospects. Philos. Trans. Roy. Soc. B 365: 2853-2867.

  96. Thornton, P.K., Boone, R.B., Ramirez-Villegas J. (2015). Climate change impacts on livestock. CGIAR Resrach program on Climate Change, Agriculture and Food Security, Working Paper No. 120.

  97. Tubiello, F., Schmidhuber, J., Howden, M., Neofotis, P.G., Park, S., Fernandes, E., Thapa, D. (2008). Climate Change Response Strategies for Agriculture: Challenges and Opportunities for the 21st Century. The World Bank, Washington, DC.

  98. UN (United Nations). (2013). World population projected to reach 9.6 billion by 2050. United Nations Department of Economic and Social Affairs. 

  99. UNEP (United Nations Environment Programme). (2012). Global environment outlook 5: Chapter 5. 

  100. USDA (United States Department of Agriculture). (2013). Climate Change and Agriculture in the United States: Effects and Adaptation. USDA technical bulletin, Washington, DC.

  101. USDA-NRCS (United States Department of Agriculture- Natural Resources Conservation Service). (2007). Legumes for resource conservation programs.

  102. Wirsenius, S., Azar, C., Berndes, G. (2010). Agricultural Systems. 103: 621-638.

  103. Wolfenson, D., Roth, Z., Meidan, R. (2000). Impaired reproduction in heat-stressed cattle: basic and applied aspects. Anim. Rep. Sci. 60 (1-3): 535-547.

  104. Wright, I., Tarawali, S., Blummel, M., Gerard, B., Teufel, N., Herrero, M. (2012). Integrating crops and livestock in subtropical agricultural systems. J. Sci. Food Agric. 92: 1010-1015. 

  105. Yan, T., Agnew, RE., Gordon, F.J., Porter, MG. (2000). Production of methane energy output in dairy and beef cattle offered grass silage-based diets. Livestock Production Science. 64(2-3): 253-263.

Editorial Board

View all (0)