globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.13708
论文题名:
Estimating 20-year land-use change and derived CO2 emissions associated with crops, pasture and forestry in Brazil and each of its 27 states
作者: Novaes R.M.L.; Pazianotto R.A.A.; Brandão M.; Alves B.J.R.; May A.; Folegatti-Matsuura M.I.S.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2017
卷: 23, 期:9
起始页码: 3716
结束页码: 3728
语种: 英语
英文关键词: Amazon ; beef ; BRLUC ; carbon footprinting ; life cycle assessment (LCA) ; maize ; soybean ; sugarcane
Scopus关键词: Glycine max ; Zea mays
英文摘要: 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. © 2017 John Wiley & Sons Ltd
资助项目: We greatly acknowledge Joaquim Miranda (PUC-Campinas) and Danilo Bento (Unicamp) for running GIS analyses and helping with maps designing ; and Danielly Godiva (MCTI) and the team involved in Brazilian TNC for providing shape files of previous native vegetation. We also are thankful to all colleagues who commented and advised the early versions of the method, especially Alfredo Luiz (Embrapa Meio Ambiente), Fernando Dias (Embrapa Pantanal), Juliana Picoli (Unicamp), Mateus Chagas and Otavio Cavalett (CTBE). We finally thank three anonymous reviewers for valuable suggestions that improved the manuscript. The research was funded by Embrapa. The authors declare no conflict of interest.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/60848
Appears in Collections:影响、适应和脆弱性

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作者单位: Embrapa Meio Ambiente, Jaguariúna, SP, Brazil; KTH Royal Institute of Technology, Stockholm, Sweden; Institute of Soil Science and Plant Cultivation, Pulawy, Poland; Embrapa Agrobiologia, Seropédica, RJ, Brazil; Embrapa Milho e Sorgo, Sete Lagoas, MG, Brazil

Recommended Citation:
Novaes R.M.L.,Pazianotto R.A.A.,Brandão M.,et al. Estimating 20-year land-use change and derived CO2 emissions associated with crops, pasture and forestry in Brazil and each of its 27 states[J]. Global Change Biology,2017-01-01,23(9)
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