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

机译:小农情况下发展中国家在景观层面量化温室气体排放的方法

摘要

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.
机译:景观规模量化使农民能够集中资源和专业知识。然而,问题仍然在于如何量化这些收益。本文考虑了可用于景观尺度分析的当前温室气体(GHG)量化方法,该方法与发展中国家小农所占地区相关。在景观规模碳核算框架中,测量是必不可少的元素。采样策略需要仔细设计,以考虑所有池/流量,并确保明智地使用资源。模型可用于扩大测量范围并填补数据空白。近年来,已经开发了许多可访问的模型和计算器,它们可以在发展中国家地区的景观范围内使用。有些基于政府间气候变化专门委员会(IPCC)方法,而另一些基于动态生态系统模型。它们是为各种不同目的而开发的,因此在准确性和可用性方面有所不同。对温室气体的景观尺度评估需要结合地面采样,使用人口普查数据,遥感(RS)或其他来源以及建模的组合。所有这些方面的整合都需要仔细进行,以最大程度地减少不确定性并最大限度地利用稀缺资源。在发展中国家小农主导的异质景观中尤其如此。

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