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The green side of the grey: Assessing greenspaces in built-up areas of Italy.

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Title: The green side of the grey: Assessing greenspaces in built-up areas of Italy.
Authors: Sallustio, L.1,2, Perone, A.1 annalisa.perone@studenti.unimol.it, Vizzarri, M.1, Corona, P.2, Fares, S.2, Cocozza, C.3, Tognetti, R.4,5, Lasserre, B.1, Marchetti, M.1
Source: Urban Forestry & Urban Greening. Jan2019, Vol. 37, p147-153. 7p.
Subject Terms: *Urban planning, *Population density, *Forests & forestry, *Infrastructure (Economics), Well-being
Abstract: Abstract Although greenspaces in built-up areas (GSB) heavily contribute to human health and wellbeing in anthropized environments, large-scale data and information on GSB are still lacking. This study aims to estimate abundance, coverage and average size of GSB in Italy through the integration of inventory and cartographic data, even considering GSB patches smaller than 0.5 ha. GSB were classified according to their type (forested and non-forested), canopy cover and location with respect to population density (from thinly to densely populated areas). We refer to built-up areas instead urban, thus including, for example, road infrastructures, buildings and sparse settlements in rural areas, otherwise neglected. Results show that 43.5% of built-up areas in Italy is unsealed, of which more than 18% is covered by GSB, mainly dominated by forested ones. Results also reveal that the number of forested GSB, their coverage and average patch size decrease with the increase of the population density, while their canopy cover follows the opposite trend. Main findings demonstrate that the proposed approach provides reliable GSB estimates to better understand interactions between humans and nature along an urban-rural gradient, thus representing a valuable support towards the implementation of Nature-Based Solutions in urban planning. [ABSTRACT FROM AUTHOR]
Copyright of Urban Forestry & Urban Greening is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: GreenFILE
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AR" term="%22Sallustio%2C+L%2E%22">Sallustio, L.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Perone%2C+A%2E%22">Perone, A.</searchLink><relatesTo>1</relatesTo><i> annalisa.perone@studenti.unimol.it</i><br /><searchLink fieldCode="AR" term="%22Vizzarri%2C+M%2E%22">Vizzarri, M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Corona%2C+P%2E%22">Corona, P.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Fares%2C+S%2E%22">Fares, S.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Cocozza%2C+C%2E%22">Cocozza, C.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Tognetti%2C+R%2E%22">Tognetti, R.</searchLink><relatesTo>4,5</relatesTo><br /><searchLink fieldCode="AR" term="%22Lasserre%2C+B%2E%22">Lasserre, B.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Marchetti%2C+M%2E%22">Marchetti, M.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Urban+Forestry+%26+Urban+Greening%22">Urban Forestry & Urban Greening</searchLink>. Jan2019, Vol. 37, p147-153. 7p.
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  Data: *<searchLink fieldCode="DE" term="%22Urban+planning%22">Urban planning</searchLink><br />*<searchLink fieldCode="DE" term="%22Population+density%22">Population density</searchLink><br />*<searchLink fieldCode="DE" term="%22Forests+%26+forestry%22">Forests & forestry</searchLink><br />*<searchLink fieldCode="DE" term="%22Infrastructure+%28Economics%29%22">Infrastructure (Economics)</searchLink><br /><searchLink fieldCode="DE" term="%22Well-being%22">Well-being</searchLink>
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  Label: Abstract
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  Data: Abstract Although greenspaces in built-up areas (GSB) heavily contribute to human health and wellbeing in anthropized environments, large-scale data and information on GSB are still lacking. This study aims to estimate abundance, coverage and average size of GSB in Italy through the integration of inventory and cartographic data, even considering GSB patches smaller than 0.5 ha. GSB were classified according to their type (forested and non-forested), canopy cover and location with respect to population density (from thinly to densely populated areas). We refer to built-up areas instead urban, thus including, for example, road infrastructures, buildings and sparse settlements in rural areas, otherwise neglected. Results show that 43.5% of built-up areas in Italy is unsealed, of which more than 18% is covered by GSB, mainly dominated by forested ones. Results also reveal that the number of forested GSB, their coverage and average patch size decrease with the increase of the population density, while their canopy cover follows the opposite trend. Main findings demonstrate that the proposed approach provides reliable GSB estimates to better understand interactions between humans and nature along an urban-rural gradient, thus representing a valuable support towards the implementation of Nature-Based Solutions in urban planning. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Urban Forestry & Urban Greening is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=134320389
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        Text: English
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      – SubjectFull: Population density
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      – SubjectFull: Forests & forestry
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      – SubjectFull: Infrastructure (Economics)
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      – SubjectFull: Well-being
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              Text: Jan2019
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