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首页> 外文期刊>The Science of the Total Environment >Building on Margalef: Testing the links between landscape structure, energy and information flows driven by farming and biodiversity
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Building on Margalef: Testing the links between landscape structure, energy and information flows driven by farming and biodiversity

机译:在Margalef上建立:测试由农业和生物多样性驱动的横向结构,能量和信息流程之间的链接

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The aim of this paper is to test two methodologies, applicable to different spatial scales (from regional to local), to predict the capacity of agroecosystems to provide habitats for the species richness of butterflies and birds, based on the ways their socio-metabolic flows change the ecological functionality of bio-cultural landscapes. First, we use the more general Intermediate Disturbance-Complexity (IDC) model to assess how different levels of human appropriation of photosynthetic production affect the landscape functional structure that hosts biodiversity. Second, we apply a more detailed Energy-Landscape Integrated Analysis (ELIA) model that focusses on the energy storage carried out by the internal biomass loops, and the energy information held in the network of energy flows driven by farmers, in order to correlate both (the energy reinvested and redistributed) with the energy imprinted in the landscape patterns and processes that sustain biodiversity. The results obtained after applying both models in the province and the metropolitan region of Barcelona support the Margalef's energy-information-structure hypothesis by showing positive relations between butterflies' species richness, IDC and ELIA, and between birds' species richness and energy information. Our findings support the view that strong relationships between farming energy flows, agroecosystem functioning and biodiversity can be detected, and highlight the importance of farmers' knowledge and labour to maintain bio-cultural landscapes. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文的目的是测试两种方法,适用于不同的空间尺度(从区域到本地),以预测农业体系的能力,以便根据其社会代谢流的方式,为蝴蝶和鸟类的物种提供栖息地的栖息地改变生物文化景观的生态功能。首先,我们使用更通用的中间干扰 - 复杂性(IDC)模型来评估光合作用的人类拨款水平如何影响举办生物多样性的景观功能结构。其次,我们应用了更详细的能量景起综合分析(ELIA)模型,其侧重于内部生物量环路进行的能量存储,以及农民驱动的能量流量网络中持有的能量信息,以便相关(再投资和重新分配的能量),在景观模式和过程中的能量中印有能量的能量。在省份省上两种模型和巴塞罗那大都会地区获得的结果支持Margalef的能源信息结构假设,通过展示蝴蝶物种丰富,IDC和ELIA之间的积极关系,鸟类物种丰富和能源信息。我们的调查结果支持,可以检测到农业能源流量,农业体系功能和生物多样性之间强有力的关系,并突出农民知识和劳动力保持生物文化景观的重要性。 (c)2019 Elsevier B.v.保留所有权利。

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