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Title

Methods for the quantification of GHG emissions at the landscape level for developing countries in smallholder contexts

Publication Year

2013

Author(s)
  • Milne, Eleanor
  • Neufeldt, Henry
  • Rosenstock, Todd
  • Smalligan, Mike
  • Cerri, Carlos Eduardo
  • Malin, Daniella
  • Easter, Mark
  • Bernoux, Martial
  • Ogle, Stephen
  • Casarim, Felipe
  • Pearson, Timothy
  • Bird, David Neil
  • Steglich, Evelyn
  • Ostwald, Madelene
  • Denef, Karolien
  • Paustian, Keith
Source
ENVIRONMENTAL RESEARCH LETTERS Volume: 8 Issue: 1 Article Number: 015019 Published: 2013
ISSN
1748-9326
Abstract

Landscape scale quantification enables farmers to pool resources and expertise. However, the problem remains of how to quantify these gains. This article considers current greenhouse gas (GHG) quantification methods that can be used in a landscape scale analysis in terms of relevance to areas dominated by smallholders in developing countries. In landscape scale carbon accounting frameworks, measurements are an essential element. Sampling strategies need careful design to account for all pools/fluxes and to ensure judicious use of resources. Models can be used to scale-up measurements and fill data gaps. In recent years a number of accessible models and calculators have been developed which can be used at the landscape scale in developing country areas. Some are based on the Intergovernmental Panel on Climate Change (IPCC) method and others on dynamic ecosystem models. They have been developed for a range of different purposes and therefore vary in terms of accuracy and usability. Landscape scale assessments of GHGs require a combination of ground sampling, use of data from census, remote sensing (RS) or other sources and modelling. Fitting of all of these aspects together needs to be performed carefully to minimize uncertainties and maximize the use of scarce resources. This is especially true in heterogeneous landscapes dominated by smallholders in developing countries.

Author Keyword(s)
  • landscape
  • smallholder agriculture
  • greenhouse gas
  • climate change mitigation
KeyWord(s) Plus
  • LAND-USE CHANGE
  • CARBON STOCKS
  • SOIL CARBON
  • REGIONAL-SCALE
  • ALLOMETRIC EQUATIONS
  • ABOVEGROUND BIOMASS
  • MODELING SYSTEM
  • SATELLITE DATA
  • FOREST
  • UNCERTAINTY
ESI Discipline(s)
  • Environment/Ecology
  • Geosciences
Web of Science Category(ies)
  • Environmental Sciences
  • Meteorology & Atmospheric Sciences
Adress(es)

[Milne, Eleanor; Easter, Mark; Ogle, Stephen; Denef, Karolien; Paustian, Keith] Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA; [Milne, Eleanor] Univ Leicester, Dept Geog, Ctr Landscape & Climate Res, Leicester LE1 7RH, Leics, England; [Neufeldt, Henry; Rosenstock, Todd] World Agroforestry Ctr ICRAF, Nairobi, Kenya; [Smalligan, Mike] Michigan State Univ, E Lansing, MI 48824 USA; [Cerri, Carlos Eduardo] Univ Sao Paulo, ESALQ, BR-05508 Sao Paulo, Brazil; [Malin, Daniella] Sustainable Food Lab, Hartland, VT USA; [Bernoux, Martial] Inst Rech Dev UMR Eco & Sols IRD, Montpellier, France; [Casarim, Felipe; Pearson, Timothy] Ecosyst Serv Winrock Int, Little Rock, AR USA; [Bird, David Neil] Joanneum Res, Resources Inst Water Energy & Sustainabil, Graz, Austria; [Steglich, Evelyn] Texas Agrilife Blackland Res & Extens Ctr, Vienna, Austria; [Ostwald, Madelene] Linkoping Univ, Ctr Climate Sci & Policy Res, Dept Water & Environm Studies, S-58183 Linkoping, Sweden

Reprint Adress

Milne, E (reprint author), Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA.

Country(ies)
  • Austria
  • Brazil
  • France
  • Kenya
  • Sweden
  • United Kingdom
  • United States
CNRS - Adress(es)
    Accession Number
    WOS:000316998300082
    uid:/5W2K87GM
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