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Estimating 20-year land-use change and derived CO2 emissions associated with crops, pasture and forestry in Brazil and each of its 27 states

机译:估计20年的土地利用变化和衍生与巴西作物,牧场和林业相关的二氧化碳排放,27个州

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摘要

Land-use change (LUC) in Brazil has important implications on global climate change, ecosystem services and biodiversity, and agricultural expansion plays a critical role in this process. Concerns over these issues have led to the need for estimating the magnitude and impacts associated with that, which are increasingly reported in the environmental assessment of products. Currently, there is an extensive debate on which methods are more appropriate for estimating LUC and related emissions and regionalized estimates are lacking for Brazil, which is a world leader in agricultural production (e.g. food, fibres and bioenergy). We developed a method for estimating scenarios of past 20-year LUC and derived CO2 emission rates associated with 64 crops, pasture and forestry in Brazil as whole and in each of its 27 states, based on time-series statistics and in accordance with most used carbon-footprinting standards. The scenarios adopted provide a range between minimum and maximum rates of CO2 emissions from LUC according to different possibilities of land-use transitions, which can have large impacts in the results. Specificities of Brazil, like multiple cropping and highly heterogeneous carbon stocks, are also addressed. The highest CO2 emission rates are observed in the Amazon biome states and crops with the highest rates are those that have undergone expansion in this region. Some states and crops showing large agricultural areas have low emissions associated, especially in southern and eastern Brazil. Native carbon stocks and time of agricultural expansion are the most decisive factors to the patterns of emissions. Some implications on LUC estimation methods and standards and on agri-environmental policies are discussed.
机译:巴西的土地利用变化(LUC)对全球气候变化,生态系统服务和生物多样性的重要意义,而农业扩张在这一过程中发挥着关键作用。对这些问题的担忧导致需要估计与之相关的幅度和影响,这在产品的环境评估中越来越多地报道。目前,有一项广泛的辩论,关于估计卢苏明和相关的排放以及巴西缺乏区域化估计的方法,这是农业生产的世界领导者(例如食品,纤维和生物能源)。我们开发了一种估算过去20年的LUC的情景和衍生与34种作物,牧场和林业的衍生二氧化碳排放率,基于时间序列统计,并按照最多使用的统计数据碳足迹标准。采用的情景提供了根据土地使用过渡的不同可能性的LUC的最低和最大速率之间的范围,这可能对结果产生了很大的影响。还解决了巴西,如多种种植和高度异质的碳储量。在亚马逊生物群系中观察到最高的CO 2排放率,并且具有最高速率的作物是该地区经历扩展的作物。一些州和农作物,显示大型农业区的排放低,特别是在巴西南部和东部。农业扩张的本机碳股和时间是排放模式最具决定性的因素。讨论了对LUC估计方法和标准以及农业环境政策的一些影响。

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