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Impacts of future climate scenarios on the balance between productivity and total greenhouse gas emissions from pasture based dairy systems in south-eastern Australia

机译:未来气候情景对澳大利亚东南部基于牧场的乳制品系统的生产力与温室气体总排放量之间的平衡的影响

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The challenge for agriculture is to increase production in warmer climates in order to meet the demands of an increasing global population, while also meeting targets for reduced greenhouse gas (GHG) emissions. Our aim was to quantify the net effect of future climate scenarios on the productivity and total GHG emissions from pasture based dairy systems in 4 regions of south-eastern Australia using the biophysical model DairyMod. In each region, a single paddock in the grazing rotation of a dairy farm was simulated. This paddock was grazed at a stocking density of 50 lactating dairy cows/ha for a period of one day each time the pasture biomass reached 2.2 t dry matter (DM)/ha. In this way, the annual stocking rate (i.e., cows/ha) reflected the number of times that the paddock was grazed annually. No supplementary feed was offered to the animals. Model estimates of annual pasture intake, stocking rate, milk production, CH4 and N2O emissions were compared at each site in a baseline climate (1971-2000) and 3 future climate scenarios representing increasingly warm and dry conditions, termed the '2030', '2070 mid' and '2070 high' scenarios. At Kyabram (northern Victoria) summer irrigated perennial pastures were modelled in the baseline scenario, with supplementary irrigated annual pasture systems simulated in the baseline scenario for comparison, and in the future scenarios. At Terang (south-western Victoria), Ellinbank (south-eastern Victoria) and Elliott (north-western Tasmania) dryland perennial pastures were modelled. In dryland systems, increased pasture intake, stocking rate and milk production was modelled in all future scenarios for the cool temperate climate at Elliott. with reduced production in the '2070 mid' and '2070 high' scenarios at Ellinbank and Terang. At Kyabram, productivity of the annual system was lower than the perennial system in the baseline scenario, but increased in future climates, assuming adequate irrigation water availability. Among sites and climate scenarios, annual per cow GHG emissions were 3.4-5.5 t CO2 equivalents (CO(2)e), with CH4 making 0.63-0.89 of total emissions. Annual emissions per unit area ranged from 2.6 to 13.1 t CO(2)e/ha among sites and climate scenarios, and generally reflected stocking rates. However, in the future scenarios, there were changes in N2O emissions at dryland sites due to increased direct N2O losses and lower indirect N2O through volatilisation and leaching. Annual emission intensities ranged from 7.5 to 10.9 t CO(2)e/t milk protein plus fat among sites and climate scenarios. The lowest emissions intensity was at Elliott, which also had little change in future climates. At Terang and Ellinbank, the emission intensity was 8.8 t CO(2)e/t MS in the baseline climate, but this increased by more than 20% in the 2070 high scenario. Results suggest that pasture based production systems can continue as the basis of the dairy industry in north-western Tasmania, but lower production and higher emission intensity at Terang and Ellinbank suggest that systems adaptations are required to meet future GHG emissions reduction goals.This paper is part of the special issue entitled: Greenhouse Gases in Animal Agriculture - Finding a Balance between Food and Emissions, Guest Edited by TA McAllister, Section Guest Editors: K.A Beauchemin, X. Hao, S. McGinn and Editor for Animal Feed Science and Technology, P.H. Robinson
机译:农业面临的挑战是在温暖的气候下增加产量,以满足不断增长的全球人口的需求,同时还要实现减少温室气体(GHG)排放的目标。我们的目标是使用生物物理模型DairyMod来量化未来气候情景对澳大利亚东南部4个地区基于牧场的乳制品系统的生产力和总温室气体排放的净影响。在每个区域,模拟了一个奶牛场放牧轮换中的一个围场。牧场生物量达到2.2吨干物质(DM)/公顷时,以50头泌乳奶牛/公顷的放牧密度放牧该牧场一天。这样,年放养率(即母牛/公顷)反映了围场每年放牧的次数。没有为动物提供补充饲料。在基线气候(1971-2000年)和代表日趋温暖和干燥的3种未来气候情景(称为“ 2030年”)的情况下,比较了每个牧场的年牧场摄入量,放牧率,牛奶产量,CH4和N2O排放的模型估计值。 2070年中期和2070年最高情景。在基亚布拉姆(维多利亚北部),以基准情景模拟了夏季灌溉多年生牧草,并在基准情景中模拟了补充灌溉的年度牧草系统,以进行比较和将来的情景。在Terang(维多利亚州西南部),Ellinbank(维多利亚州东南部)和Elliott(塔斯马尼亚州西北部)为旱地多年生草场建模。在干旱地区,在Elliott凉爽的温带气候的所有未来情景中,都模拟了增加的牧草摄入量,放牧率和牛奶产量。在Ellinbank和Terang的“ 2070年中”和“ 2070年高”情景下产量下降。在基布拉姆省,基准条件下年度系统的生产力低于多年生系统,但在未来的气候条件下(假设有充足的灌溉用水),生产力会提高。在场所和气候情景中,每头牛的年温室气体排放量为3.4-5.5吨二氧化碳当量(CO(2)e),其中CH4占总排放量的0.63-0.89。在站点和气候情景之间,每单位面积的年排放量在2.6至13.1 t CO(2)e / ha之间,并且通常反映了储存率。但是,在未来的情况下,由于直接N2O损失增加以及通过挥发和浸出产生的间接N2O减少,旱地站点的N2O排放发生了变化。在地点和气候情景之间,年排放强度范围为7.5至10.9 t CO(2)e / t乳蛋白加脂肪。排放强度最低的是埃利奥特(Elliott),未来的气候变化也很小。在Terang和Ellinbank,基准气候的排放强度为8.8 t CO(2)e / t MS,但在2070年的高情景下,排放强度增加了20%以上。结果表明,以牧场为基础的生产系统可以继续作为塔斯马尼亚西北部乳制品业的基础,但是Terang和Ellinbank的较低产量和较高的排放强度表明,需要对系统进行调整才能实现未来的温室气体减排目标。特刊的一部分:动物农业中的温室气体-寻找食物和排放之间的平衡,客座人士由TA McAllister编辑,客座编辑:KA Beauchemin,X。Hao,S。McGinn和动物饲料科学与技术编辑, PH值罗宾逊

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