4.7 Article

Quantifying gross vs. net agricultural land use change in Great Britain using the Integrated Administration and Control System

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 628-629, 期 -, 页码 1234-1248

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2018.02.067

关键词

Land cover; Carbon flux; Greenhouse gas; Agriculture; Agricultural emissions

资金

  1. Defra [SP1113]
  2. UK Natural Environment Research Council grant Greenhouse Gas (GHG) Emissions and Feedbacks Research Programme (GREENHOUSE) [NE/K002481/1]
  3. NERC [ceh020011, NE/K002481/1] Funding Source: UKRI
  4. Natural Environment Research Council [ceh020011, NE/K002481/1] Funding Source: researchfish

向作者/读者索取更多资源

Land use change has impacts upon many natural processes, and is one of the key measures of anthropogenic disturbance on ecosystems. Agricultural land covers 70% of Great Britain's (GB) land surface and annually undergoes disturbance and change through farming practices such as crop rotation, ploughing and the planting and subsequent logging of forestry. It is important to quantify how much of GB's agricultural land undergoes such changes and what those changes are at an annual temporal resolution. Integrated Administration and Control System (IACS) data give annual snapshots of agricultural land use at the field level, allowing for high resolution spatio-temporal land use change studies at the national scale. Crucially, not only do the data allow for simple net change studies (total area change of a land use, in a specific areal unit) but also for gross change calculations (summation of all changes to and from a land use), meaning that both gains and losses to and from each land use category can be defined. In this study we analysed IACS data for GB from 2005 to 2013, and quantified gross change for over 90% of the agricultural area in GB for the first time. It was found that gross change totalled 63,500 km(2) in GB compared to 20,600 km(2) of net change. i.e. the real year-on-year change is, on average, three times larger than net change. This detailed information on nature of land use change allows for increased accuracy in modelling the impact of land use change on ecosystem processes and is directly applicable across EU member states, where collection of such survey data is a requirement. The modelled carbon flux associated with gross land use change was at times >100 Gg C y(-1) larger than that based on net land use change for some land use transitions. (C) 2018 The Authors. Published by Elsevier B.V.

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