A GIS-based approach to evaluate biomass potential from energy crops at regional scale

Fiorese, Giulia; Guariso, Giorgio

doi:10.1016/j.envsoft.2009.11.008

Cited by 127 publications

(72 citation statements)

References 22 publications

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“…Dedicated energy crops, in particular perennial lignocellulosic crops, are often suggested for cultivation on lower grade soils [82,83]. Miscanthus and other energy grasses together with SRC plantations of fast growing trees, such as willow and poplar, are among the prime candidate crops in Europe.…”

Section: B2: Combination Of First-generation and Dedicated Energy Cromentioning

confidence: 99%

To integrate or to segregate food crop and energy crop cultivation at the landscape scale? Perspectives on biodiversity conservation in agriculture in Europe

Dauber

Miyake

2016

Energ Sustain Soc

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Biodiversity is severely declining in intensively managed agriculture worldwide. In response, land-management strategies for biodiversity conservation on farmland are in debate, namely ecological intensification and land sparing vs. land sharing. In parallel, there is a recent food vs. energy debate stimulated by an increasing competition for land resources. Despite clear overlaps between these two debates, they were rarely connected in previous research. This paper aims to stimulate a discussion by providing a contextual link between biodiversity conservation strategies and options for future energy crop deployment. Therefore, nine conceptual land-use scenarios are developed, and then, the potential biodiversity implications are discussed based on the findings from past and ongoing research. These scenarios include the integration and segregation of both food and energy crops on lands with a range of productivity and suitability for agricultural production. We assume that the clear segregation between food crops on productive land and energy crops on marginal land is less likely to be a solution of mitigating the problems related to the biodiversity decline, especially in the European agricultural landscape context. In contrast, the integration of food and energy crop production systems at the farm to landscape scale has greater potential for ecological intensification, although conflicts with traditional nature conservation targets may arise. We conclude that broadening the perspectives of biodiversity conservation in agriculture is crucial, and the inclusion of energy crop production into the recent debates on biodiversity conservation strategies is helpful.

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Section: B2: Combination Of First-generation and Dedicated Energy Cromentioning

confidence: 99%

To integrate or to segregate food crop and energy crop cultivation at the landscape scale? Perspectives on biodiversity conservation in agriculture in Europe

Dauber

Miyake

2016

Energ Sustain Soc

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“…Prav tako so znanja s področja geografskih informacijskih sistemov uporabna v okviru prostorskega načrtovanja, katerega glavni namen je določiti zasnovo organizacije prostora (Slonep, 2011) in pri tem med seboj uskladiti interese vseh uporabnikov prostora. V splošnem je uporaba tehnologij GIS z uporabo satelitskih ali letalskih posnetkov v kmetijstvu široko zastopana, kar dokazujejo številne raziskave s področja razpršenega onesnaženja vodnih virov z nitrati iz kmetijstva (Giupponi in Vladimirova, 2005), ocenjevanja potencialne ogroženosti kmetijskih površin za erozijo tal (Mati et al, 2000) in biomasnega potenciala energetskih rastlin (Fiorese in Guariso, 2010), določitve primernosti tal za kmetijsko pridelavo (Kalogirou, 2002), vpeljave preciznega kmetovanja na ravni kmetijskega gospodarstva (Zhang et al, 1999) ter ekološko-ekonomskega modeliranja za vrednotenje učinkovitosti kmetijskih politik (Carey et al, 2002;Lant et al, 2005). V zadnjem času pridobivajo prostorske analize v kmetijstvu vse bolj na pomenu tako v svetu kot pri nas, saj lahko prostorska predstavnost omogoča hiter prikaz rabe kmetijskih zemljišč tudi za posamezno zemljiško parcelo ob pogoju, da so podatki o rabi in zemljiških parcelah kakovostni.…”

Section: Uvodunclassified

Spatial data utilization of the agricultural sector for the purposes of agricultural land use change in the case of a selected nature protection area in Slovenia

Miličić¹,

Udovč²

2012

Geod. vestn.

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“…GIS can support multicriteria analysis and assessment for siting wind and solar farms (Janke, 2010) and biomass plants (Perpina, et al, 2013;Hohn et al, 2014;Zhang et al, 2011;Ahamed et al, 2011). It can also support the evaluation of potential renewable energy from installed developments in relation to solar and wind potential (Erdinc and Uzunoglu, 2012) and biomass potential from energy crops on a regional scale (Fiorese and Guariso, 2010;Thomas et al, 2013;Hammer et al, 2003;Larsson and Nilsson, 2005;Nygaard et al, 2010).…”

Section: Remote Sensing and Gis-based Methodsmentioning

confidence: 99%

Multicriteria analysis for sources of renewable energy using data from remote sensing

Matějı́ček

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Renewable energy sources are major components of the strategy to reduce harmful emissions and to replace depleting fossil energy resources. Data from remote sensing can provide information for multicriteria analysis for sources of renewable energy. Advanced land cover quantification makes it possible to search for suitable sites. Multicriteria analysis, together with other data, is used to determine the energy potential and socially acceptability of suggested locations. The described case study is focused on an area of surface coal mines in the northwestern region of the Czech Republic, where the impacts of surface mining and reclamation constitute a dominant force in land cover changes. High resolution satellite images represent the main input datasets for identification of suitable sites. Solar mapping, wind predictions, the location of weirs in watersheds, road maps and demographic information complement the data from remote sensing for multicriteria analysis, which is implemented in a geographic information system (GIS). The input spatial datasets for multicriteria analysis in GIS are reclassified to a common scale and processed with raster algebra tools to identify suitable sites for sources of renewable energy. The selection of suitable sites is limited by the CORINE land cover database to mining and agricultural areas. The case study is focused on long term land cover changes in the 1985-2015 period. Multicriteria analysis based on CORINE data shows moderate changes in mapping of suitable sites for utilization of selected sources of renewable energy in 1990, 2000, 2006 and 2012. The results represent map layers showing the energy potential on a scale of a few preference classes (1-7), where the first class is linked to minimum preference and the last class to maximum preference. The attached histograms show the moderate variability of preference classes due to land cover changes caused by mining activities. The results also show a slight increase in the more preferred classes for utilization of sources of renewable energy due to an increase area of reclaimed sites. Using data from remote sensing, such as the multispectral images and the CORINE land cover datasets, can reduce the financial resources currently required for finding and assessing suitable areas.* Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.

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A GIS-based approach to evaluate biomass potential from energy crops at regional scale

Cited by 127 publications

References 22 publications

To integrate or to segregate food crop and energy crop cultivation at the landscape scale? Perspectives on biodiversity conservation in agriculture in Europe

To integrate or to segregate food crop and energy crop cultivation at the landscape scale? Perspectives on biodiversity conservation in agriculture in Europe

Spatial data utilization of the agricultural sector for the purposes of agricultural land use change in the case of a selected nature protection area in Slovenia

Multicriteria analysis for sources of renewable energy using data from remote sensing

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