2018
DOI: 10.1016/j.ecolind.2018.03.067
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The land use suitability concept: Introduction and an application of the concept to inform sustainable productivity within environmental constraints

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Cited by 58 publications
(28 citation statements)
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“…Moreover, the monetary value of ecosystem services and biodiversity in the Republic of Ireland has been estimated at over €2.6 billion per year, which further supports the economic and environmental need to protect such systems from nutrient enrichment (DCCAE, 2012). In New Zealand, environmental degradation places at risk an $18 billion (NZD) tourist industry, which further supports the need for nutrient management to achieve water quality goals, as well as considering the wider impacts of anthropogenic activity in terms of attaining sustainable agricultural productivity within environmental constraints (Ministry for the Environment, 2007;McDowell et al, 2018.). In the United States, freshwater eutrophication is estimated to cost a minimum of $2.2 billion (USD) every year (Diaz and Rosenberg, 2008;Dodds et al, 2009).…”
Section: Resultsmentioning
confidence: 99%
“…Moreover, the monetary value of ecosystem services and biodiversity in the Republic of Ireland has been estimated at over €2.6 billion per year, which further supports the economic and environmental need to protect such systems from nutrient enrichment (DCCAE, 2012). In New Zealand, environmental degradation places at risk an $18 billion (NZD) tourist industry, which further supports the need for nutrient management to achieve water quality goals, as well as considering the wider impacts of anthropogenic activity in terms of attaining sustainable agricultural productivity within environmental constraints (Ministry for the Environment, 2007;McDowell et al, 2018.). In the United States, freshwater eutrophication is estimated to cost a minimum of $2.2 billion (USD) every year (Diaz and Rosenberg, 2008;Dodds et al, 2009).…”
Section: Resultsmentioning
confidence: 99%
“…To improve land use planning and give a real picture of land use, especially in smallholder farming systems, socio-economic factors should be included, where available [71,139]. Integration of quantitative simulation modelling and qualitative land evaluation techniques leads to excellent scientific and practical results which gradually improve the accuracy and the applicability of the models [23]. Finally, the practical automated application of land evaluation systems is described as a land-use decision support tool that uses information technologies to link integrated databases and various models [40].…”
Section: Discussion and Way Forwardmentioning
confidence: 99%
“…The integration of remote sensing (RS), machine learning tools and techniques, use of big data, Internet of Things (IoT), blockchain and cloud computing to form hybrid land evaluation systems can improve the accuracy and reliability of land suitability methods [22]. In hybrid land evaluation systems, the linkages between two types of models simulate both the qualitative reasoning functions and the quantitative modelling part [23]. In recent years, mechanistic crop simulation models have proven useful in optimising and developing hybrid land evaluation systems [24,25].…”
Section: Introductionmentioning
confidence: 99%
“…The land-use suitability analysis based on parcels with a higher classification accuracy can provide urban planners with a detailed suitability map and assist them in conducting scientific urban planning. Urban land-use suitability is a framework for assessing the suitability of urban land that acknowledges and accounts for the connections between land use and economic, environmental, social and cultural impacts [56]. By providing urban researchers with information that highlights the interconnected and cumulative nature of urban land use impacts, urban land use suitability can assist urban researchers in understanding the implications of urban land uses for the full range of desired outcomes.…”
Section: Implications Of An Automatic and Fine-grained Urban Land-usementioning
confidence: 99%