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A methodological approach to assess cross-scale relations and interactions in agricultural ecosystems of Argentina

机译:评估阿根廷农业生态系统中跨尺度关系和相互作用的方法学方法

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摘要

Agronomists, environmentalists, land managers, policy makers and development agents who make decisions at different levels (plot, farm, ecosystem, landscape, ecoregion, country) increasingly demand scientific information to understand cross-level links and interactions in systems that behave hierarchically. The purpose of this work is to study cross-scale relations and interactions in agricultural ecosystems of the Argentine Pampas. Based on public censuses and surveys from 1960 to 1996, data on crops cultivation, fossil energy (FE) consumption and energy productivity were used for the analysis. The whole region was divided into eight increasing geographic scales, and the impact of one scale on the broader ones was assessed through a simple analysis of energy productivity. Regression analysis was used to identify cross-scale linear slopes and to determine cross-scale interactions. We assume that non-parallel slopes in different years are attributable to cross-scale interactions. Given that the results show highly significant differences among inter-year slopes, we must accept that cross-scale interactions have occurred. Beyond any random behavior, it seems quite possible that decisions made at smaller scales may have a demonstrable effect on broader scales. Specific research is needed to elucidate key cause-effect relationships among scales. In principle, the possible interaction between intensification factors (for example, FE consumption) and spatial scales is a plausible hypothesis to be tested in the study area.
机译:在不同级别(地块,农场,生态系统,景观,生态区域,国家)做出决策的农艺师,环境保护主义者,土地经理,政策制定者和发展代理商越来越需要科学信息来理解跨层次的链接和层次结构系统中的相互作用。这项工作的目的是研究阿根廷南美大草原农业生态系统中的跨尺度关系和相互作用。基于1960年至1996年的公共普查和调查,使用了有关作物种植,化石能源(FE)消耗和能源生产率的数据进行了分析。整个地区被分为八个不断扩大的地理范围,并且通过对能源生产率的简单分析来评估一个范围对更广泛范围的影响。回归分析用于确定跨尺度线性斜率并确定跨尺度相互作用。我们假设不同年份的非平行坡度可归因于跨尺度的相互作用。鉴于结果显示年际斜率之间存在非常显着的差异,因此我们必须接受发生了跨尺度的相互作用。除任何随机行为外,较小规模的决策似乎很有可能对较大规模的决策产生明显影响。需要进行具体研究以阐明量表之间的关键因果关系。原则上,集约化因子(例如,FE消耗)与空间尺度之间可能存在的相互作用是在研究区域进行检验的合理假设。

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