FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2918328867> ?p ?o ?g. }

• W2918328867 endingPage "504" @default.
• W2918328867 startingPage "488" @default.
• W2918328867 abstract "Abstract High Nature Value farmland (HNVf) are characterised by high naturalness of land cover and low intensity of agricultural practices. They are essential for biodiversity conservation in rural environments, and their presence is an important indicator of the effectiveness of different EU policies that aim to support biodiversity in agricultural areas. Consequently, their identification, protection and implementation is of strategic importance. Previous studies have analysed the landscape along an urban-rural-natural gradient, beginning with Land Use and Land Cover (LULC) maps. Building up from this baseline, this paper integrates spatial analysis methods with statistical data related to agricultural practices and their intensity, with the aim of mapping and assessing HNVf in a portion of the Veneto Plain, north-east Italy. In particular, this paper presents a methodology for the identification of HNVf applied to two datasets: (i) the first encompassing only LULC data and (ii) the second encompassing also statistical data on agricultural practices. The aim is to demonstrate how this additional information improves the identification of HNVf. In the first step, a Kernel Density Estimation (KDE) technique is applied to a reclassified LULC map, in order to calculate continuous intensity indicators. A Principal Components Analysis and an ISODATA Cluster Analysis are then performed respectively to remove redundant information and to identify the different landscape structures of the study area. The second analysis follows the same steps, with the difference that LULC intensity indicators are analysed in combination with data on crop rotations, irrigation and livestock from a census survey. The first analysis returns a map of the landscape driven only by different intensities of land use. The second returns a map where the statistics on agricultural practices allow for a better characterisation of the natural value of the landscape. Agricultural statistics improved the results, since they allow the discrimination of lower intensity clusters within the cultivated areas, which are traditionally excluded from HNVf by considering only the land cover. The comparison between the results of the two analyses shows that the combined use of the agricultural statistics determines a more detailed representation of the study area, that allows a better differentiation of the agricultural areas between HNVf and non-HNVf, leading to an improvement of the HNVf identification methodology. The benefit of using additional information can be therefore of interest for territorial planning, with the ultimate aim of promoting biodiversity conservation." @default.
• W2918328867 created "2019-03-11" @default.
• W2918328867 creator A5002845933 @default.
• W2918328867 creator A5053723257 @default.
• W2918328867 creator A5090177369 @default.
• W2918328867 date "2019-04-01" @default.
• W2918328867 modified "2023-09-24" @default.
• W2918328867 title "Combining LULC data and agricultural statistics for A better identification and mapping of High nature value farmland: A case study in the veneto Plain, Italy" @default.
• W2918328867 cites W1101140293 @default.
• W2918328867 cites W1973735196 @default.
• W2918328867 cites W1980401903 @default.
• W2918328867 cites W1982930231 @default.
• W2918328867 cites W1990263489 @default.
• W2918328867 cites W1992290591 @default.
• W2918328867 cites W2002338877 @default.
• W2918328867 cites W2002996471 @default.
• W2918328867 cites W2005423016 @default.
• W2918328867 cites W2013050145 @default.
• W2918328867 cites W2022851681 @default.
• W2918328867 cites W2077300472 @default.
• W2918328867 cites W2080170353 @default.
• W2918328867 cites W2087553518 @default.
• W2918328867 cites W2098829158 @default.
• W2918328867 cites W2121525043 @default.
• W2918328867 cites W2124152964 @default.
• W2918328867 cites W2135825683 @default.
• W2918328867 cites W2136502970 @default.
• W2918328867 cites W2161218818 @default.
• W2918328867 cites W2170444728 @default.
• W2918328867 cites W2244261466 @default.
• W2918328867 cites W2332473824 @default.
• W2918328867 cites W2333689197 @default.
• W2918328867 cites W2418762783 @default.
• W2918328867 cites W2504118536 @default.
• W2918328867 cites W2509884144 @default.
• W2918328867 cites W2511617271 @default.
• W2918328867 cites W2517552736 @default.
• W2918328867 cites W2591665892 @default.
• W2918328867 cites W567288355 @default.
• W2918328867 cites W86137262 @default.
• W2918328867 doi "https://doi.org/10.1016/j.landusepol.2019.02.034" @default.
• W2918328867 hasPublicationYear "2019" @default.
• W2918328867 type Work @default.
• W2918328867 sameAs 2918328867 @default.
• W2918328867 citedByCount "9" @default.
• W2918328867 countsByYear W29183288672019 @default.
• W2918328867 countsByYear W29183288672020 @default.
• W2918328867 countsByYear W29183288672021 @default.
• W2918328867 countsByYear W29183288672022 @default.
• W2918328867 countsByYear W29183288672023 @default.
• W2918328867 crossrefType "journal-article" @default.
• W2918328867 hasAuthorship W2918328867A5002845933 @default.
• W2918328867 hasAuthorship W2918328867A5053723257 @default.
• W2918328867 hasAuthorship W2918328867A5090177369 @default.
• W2918328867 hasConcept C105795698 @default.
• W2918328867 hasConcept C116834253 @default.
• W2918328867 hasConcept C118518473 @default.
• W2918328867 hasConcept C166957645 @default.
• W2918328867 hasConcept C18903297 @default.
• W2918328867 hasConcept C205649164 @default.
• W2918328867 hasConcept C33923547 @default.
• W2918328867 hasConcept C39432304 @default.
• W2918328867 hasConcept C86803240 @default.
• W2918328867 hasConceptScore W2918328867C105795698 @default.
• W2918328867 hasConceptScore W2918328867C116834253 @default.
• W2918328867 hasConceptScore W2918328867C118518473 @default.
• W2918328867 hasConceptScore W2918328867C166957645 @default.
• W2918328867 hasConceptScore W2918328867C18903297 @default.
• W2918328867 hasConceptScore W2918328867C205649164 @default.
• W2918328867 hasConceptScore W2918328867C33923547 @default.
• W2918328867 hasConceptScore W2918328867C39432304 @default.
• W2918328867 hasConceptScore W2918328867C86803240 @default.
• W2918328867 hasLocation W29183288671 @default.
• W2918328867 hasOpenAccess W2918328867 @default.
• W2918328867 hasPrimaryLocation W29183288671 @default.
• W2918328867 hasRelatedWork W1515979681 @default.
• W2918328867 hasRelatedWork W2029469965 @default.
• W2918328867 hasRelatedWork W2356202341 @default.
• W2918328867 hasRelatedWork W2361893937 @default.
• W2918328867 hasRelatedWork W2795737048 @default.
• W2918328867 hasRelatedWork W2899084033 @default.
• W2918328867 hasRelatedWork W3095531260 @default.
• W2918328867 hasRelatedWork W3128728248 @default.
• W2918328867 hasRelatedWork W4248264027 @default.
• W2918328867 hasRelatedWork W4300861762 @default.
• W2918328867 hasVolume "83" @default.
• W2918328867 isParatext "false" @default.
• W2918328867 isRetracted "false" @default.
• W2918328867 magId "2918328867" @default.
• W2918328867 workType "article" @default.