Landscape-Ecological Approach to Spatial Planning as a Tool to Minimize Socio-Ecological Conflicts: Case Study of Agrolandscape in the Taiga Zone of Russia

Alexander Khoroshev
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Alexander Khoroshev: Faculty of Geography, Lomonosov Moscow State University, Moscow 119991, Russia

Land, 2020, vol. 9, issue 6, 1-23

Abstract: Landscape heterogeneity generates significant influences on economic activity. Present-day publications in landscape planning focus more and more on a participatory approach and a communication process. By contrast, we focus on nature-based criteria aimed at proper adaptation of planning decisions to natural landscape patterns. The paper proposes the framework aimed at considering geographical context, matter flows, and dynamic processes in projecting ecological network and perfect sites for various land use types as well as for choosing appropriate technologies. We use the example of a river basin in the taiga zone of European Russia, partially used for forestry and traditional agriculture. A landscape map, space images, and geochemical data are used to provide rationales for the necessary emergent effects resulting from proper proportions, neighborhoods, buffers, and shapes for lands use units. The proposed spatial arrangement of land use types and technologies ensures the coordination of socio-economic and ecological interests and preserves zonal background conditions, including runoff, soils, migration routes, and biodiversity. The allocation of arable lands and cutovers is aimed at minimizing undesirable matter flows that could cause qualitative changes in the geochemical environment.

Keywords: landscape planning; adaptation; taiga; agriculture; neighborhood; flow; buffer; ecological network (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:9:y:2020:i:6:p:192-:d:369661

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