Comparing estimates of EMEP MSC-W and UFORE models in air pollutant reduction by urban trees View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-10

AUTHORS

Gabriele Guidolotti, Michele Salviato, Carlo Calfapietra

ABSTRACT

There is a growing interest to identify and quantify the benefits provided by the presence of trees in urban environment in order to improve the environmental quality in cities. However, the evaluation and estimate of plant efficiency in removing atmospheric pollutants is rather complicated, because of the high number of factors involved and the difficulty of estimating the effect of the interactions between the different components. In this study, the EMEP MSC-W model was implemented to scale-down to tree-level and allows its application to an industrial-urban green area in Northern Italy. Moreover, the annual outputs were compared with the outputs of UFORE (nowadays i-Tree), a leading model for urban forest applications. Although, EMEP/MSC-W model and UFORE are semi-empirical models designed for different applications, the comparison, based on O3, NO2 and PM10 removal, showed a good agreement in the estimates and highlights how the down-scaling methodology presented in this study may have significant opportunities for further developments. More... »

PAGES

19541-19550

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11356-016-7135-x

DOI

http://dx.doi.org/10.1007/s11356-016-7135-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1015745234

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27392620


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0607", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Plant Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Air Pollutants", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cities", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Environmental Monitoring", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Italy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Theoretical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Trees", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Research Council", 
          "id": "https://www.grid.ac/institutes/grid.5326.2", 
          "name": [
            "Institute of Agro-Environmental & Forest Biology (IBAF), National Research Council (CNR), Via Marconi 2, I-05010, Porano, TR, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guidolotti", 
        "givenName": "Gabriele", 
        "id": "sg:person.0645731640.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645731640.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Padua", 
          "id": "https://www.grid.ac/institutes/grid.5608.b", 
          "name": [
            "Department of Land, Environment, Agriculture and Forestry (LEAF), University of Padova, Viale dell\u2019Universit\u00e0 16, 35020, Legnaro, PD, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Salviato", 
        "givenName": "Michele", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Global Change Research Centre", 
          "id": "https://www.grid.ac/institutes/grid.426587.a", 
          "name": [
            "Institute of Agro-Environmental & Forest Biology (IBAF), National Research Council (CNR), Via Marconi 2, I-05010, Porano, TR, Italy", 
            "Global Change Research Centre, B\u011blidla 986/4a, 603 00, Brno, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Calfapietra", 
        "givenName": "Carlo", 
        "id": "sg:person.01263461226.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263461226.53"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.envpol.2014.05.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003660984"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:wate.0000026521.99552.fd", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003697101", 
          "https://doi.org/10.1023/b:wate.0000026521.99552.fd"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2014.11.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004020355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jenvman.2006.11.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004175256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ufug.2006.01.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004759147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2014.08.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004824007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2005.01.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005504523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1941997", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008801772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1104/pp.90.3.1163", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012007054"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/acp-14-7461-2014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012678270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2004.01.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016743450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1890/11-0561.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016885648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13280-014-0507-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017945055", 
          "https://doi.org/10.1007/s13280-014-0507-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.pp.33.060182.001533", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019920867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4020-9121-6_21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020294529", 
          "https://doi.org/10.1007/978-1-4020-9121-6_21"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4020-9121-6_21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020294529", 
          "https://doi.org/10.1007/978-1-4020-9121-6_21"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2012.03.084", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029561305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2006.10.073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029660023"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es050581y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030405894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es050581y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030405894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2011.01.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033032046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.landurbplan.2008.10.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037921260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00703-003-0042-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040304128", 
          "https://doi.org/10.1007/s00703-003-0042-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02786829408959680", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042558464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0269-7491(00)00043-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042986354"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0004-6981(87)90274-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047723794"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0004-6981(87)90274-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047723794"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1352-2310(97)00066-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051566734"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2010.12.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051603243"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.landurbplan.2010.08.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052035226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2134/jeq2015.01.0061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069011359"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-10", 
    "datePublishedReg": "2016-10-01", 
    "description": "There is a growing interest to identify and quantify the benefits provided by the presence of trees in urban environment in order to improve the environmental quality in cities. However, the evaluation and estimate of plant efficiency in removing atmospheric pollutants is rather complicated, because of the high number of factors involved and the difficulty of estimating the effect of the interactions between the different components. In this study, the EMEP MSC-W model was implemented to scale-down to tree-level and allows its application to an industrial-urban green area in Northern Italy. Moreover, the annual outputs were compared with the outputs of UFORE (nowadays i-Tree), a leading model for urban forest applications. Although, EMEP/MSC-W model and UFORE are semi-empirical models designed for different applications, the comparison, based on O3, NO2 and PM10 removal, showed a good agreement in the estimates and highlights how the down-scaling methodology presented in this study may have significant opportunities for further developments. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11356-016-7135-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1113424", 
        "issn": [
          "0944-1344", 
          "1614-7499"
        ], 
        "name": "Environmental Science and Pollution Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "19", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "23"
      }
    ], 
    "name": "Comparing estimates of EMEP MSC-W and UFORE models in air pollutant reduction by urban trees", 
    "pagination": "19541-19550", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4b0547cc192615c17a003af02421a85ea0a3384f383275b674609938009d9de2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27392620"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9441769"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11356-016-7135-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1015745234"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11356-016-7135-x", 
      "https://app.dimensions.ai/details/publication/pub.1015745234"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:24", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000362_0000000362/records_87097_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11356-016-7135-x"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11356-016-7135-x'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11356-016-7135-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11356-016-7135-x'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11356-016-7135-x'


 

This table displays all metadata directly associated to this object as RDF triples.

201 TRIPLES      21 PREDICATES      63 URIs      27 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11356-016-7135-x schema:about N35d4681b38cb4c7481dc6ca00e64b354
2 N4e3746f136a2447999c732a861a5d7b0
3 N4f5683c630d84bb49b7cdd7dc03a4ff9
4 N63d8116ad988476f9489d548687907d5
5 Na33627afcdb44b2eac39560ffad0a18c
6 Nfe5078c2206b4288abb4db918869917c
7 anzsrc-for:06
8 anzsrc-for:0607
9 schema:author N2d06ab5e001d4998a47ade81975cf536
10 schema:citation sg:pub.10.1007/978-1-4020-9121-6_21
11 sg:pub.10.1007/s00703-003-0042-y
12 sg:pub.10.1007/s13280-014-0507-x
13 sg:pub.10.1023/b:wate.0000026521.99552.fd
14 https://doi.org/10.1016/0004-6981(87)90274-5
15 https://doi.org/10.1016/j.atmosenv.2004.01.026
16 https://doi.org/10.1016/j.atmosenv.2005.01.056
17 https://doi.org/10.1016/j.atmosenv.2006.10.073
18 https://doi.org/10.1016/j.envpol.2010.12.005
19 https://doi.org/10.1016/j.envpol.2011.01.010
20 https://doi.org/10.1016/j.envpol.2014.05.028
21 https://doi.org/10.1016/j.envpol.2014.08.031
22 https://doi.org/10.1016/j.envpol.2014.11.030
23 https://doi.org/10.1016/j.jenvman.2006.11.029
24 https://doi.org/10.1016/j.landurbplan.2008.10.021
25 https://doi.org/10.1016/j.landurbplan.2010.08.011
26 https://doi.org/10.1016/j.scitotenv.2012.03.084
27 https://doi.org/10.1016/j.ufug.2006.01.007
28 https://doi.org/10.1016/s0269-7491(00)00043-9
29 https://doi.org/10.1016/s1352-2310(97)00066-6
30 https://doi.org/10.1021/es050581y
31 https://doi.org/10.1080/02786829408959680
32 https://doi.org/10.1104/pp.90.3.1163
33 https://doi.org/10.1146/annurev.pp.33.060182.001533
34 https://doi.org/10.1890/11-0561.1
35 https://doi.org/10.2134/jeq2015.01.0061
36 https://doi.org/10.2307/1941997
37 https://doi.org/10.5194/acp-14-7461-2014
38 schema:datePublished 2016-10
39 schema:datePublishedReg 2016-10-01
40 schema:description There is a growing interest to identify and quantify the benefits provided by the presence of trees in urban environment in order to improve the environmental quality in cities. However, the evaluation and estimate of plant efficiency in removing atmospheric pollutants is rather complicated, because of the high number of factors involved and the difficulty of estimating the effect of the interactions between the different components. In this study, the EMEP MSC-W model was implemented to scale-down to tree-level and allows its application to an industrial-urban green area in Northern Italy. Moreover, the annual outputs were compared with the outputs of UFORE (nowadays i-Tree), a leading model for urban forest applications. Although, EMEP/MSC-W model and UFORE are semi-empirical models designed for different applications, the comparison, based on O3, NO2 and PM10 removal, showed a good agreement in the estimates and highlights how the down-scaling methodology presented in this study may have significant opportunities for further developments.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree false
44 schema:isPartOf N89f4c06c06ec4ae58ec8eb5cbf6f97a1
45 N9e9a76d4a8b1408390b4b75b827f8210
46 sg:journal.1113424
47 schema:name Comparing estimates of EMEP MSC-W and UFORE models in air pollutant reduction by urban trees
48 schema:pagination 19541-19550
49 schema:productId N097b0ae12e1a4fee91b481af5447ae6f
50 N33abe4248e424d59aa85c87bbba17e29
51 N4f6f81ebc21a4038b42aac4066494b9b
52 N9dadf5e7f770470abb848c6ddc229066
53 Nd7315410520541bd92e337d5a0c56105
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015745234
55 https://doi.org/10.1007/s11356-016-7135-x
56 schema:sdDatePublished 2019-04-11T12:24
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher N26a55e6645da4e38b4c48c729749a178
59 schema:url https://link.springer.com/10.1007%2Fs11356-016-7135-x
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N097b0ae12e1a4fee91b481af5447ae6f schema:name nlm_unique_id
64 schema:value 9441769
65 rdf:type schema:PropertyValue
66 N26a55e6645da4e38b4c48c729749a178 schema:name Springer Nature - SN SciGraph project
67 rdf:type schema:Organization
68 N2d06ab5e001d4998a47ade81975cf536 rdf:first sg:person.0645731640.88
69 rdf:rest Nf7a5505811fa4551b14abfcdda01ecb6
70 N33abe4248e424d59aa85c87bbba17e29 schema:name pubmed_id
71 schema:value 27392620
72 rdf:type schema:PropertyValue
73 N35d4681b38cb4c7481dc6ca00e64b354 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Models, Theoretical
75 rdf:type schema:DefinedTerm
76 N43686d0d8dc14d3c845b706eea2474ec rdf:first sg:person.01263461226.53
77 rdf:rest rdf:nil
78 N49bb4494fce8447991826e7a1290a8c7 schema:affiliation https://www.grid.ac/institutes/grid.5608.b
79 schema:familyName Salviato
80 schema:givenName Michele
81 rdf:type schema:Person
82 N4e3746f136a2447999c732a861a5d7b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Environmental Monitoring
84 rdf:type schema:DefinedTerm
85 N4f5683c630d84bb49b7cdd7dc03a4ff9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Cities
87 rdf:type schema:DefinedTerm
88 N4f6f81ebc21a4038b42aac4066494b9b schema:name dimensions_id
89 schema:value pub.1015745234
90 rdf:type schema:PropertyValue
91 N63d8116ad988476f9489d548687907d5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Air Pollutants
93 rdf:type schema:DefinedTerm
94 N89f4c06c06ec4ae58ec8eb5cbf6f97a1 schema:issueNumber 19
95 rdf:type schema:PublicationIssue
96 N9dadf5e7f770470abb848c6ddc229066 schema:name readcube_id
97 schema:value 4b0547cc192615c17a003af02421a85ea0a3384f383275b674609938009d9de2
98 rdf:type schema:PropertyValue
99 N9e9a76d4a8b1408390b4b75b827f8210 schema:volumeNumber 23
100 rdf:type schema:PublicationVolume
101 Na33627afcdb44b2eac39560ffad0a18c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Trees
103 rdf:type schema:DefinedTerm
104 Nd7315410520541bd92e337d5a0c56105 schema:name doi
105 schema:value 10.1007/s11356-016-7135-x
106 rdf:type schema:PropertyValue
107 Nf7a5505811fa4551b14abfcdda01ecb6 rdf:first N49bb4494fce8447991826e7a1290a8c7
108 rdf:rest N43686d0d8dc14d3c845b706eea2474ec
109 Nfe5078c2206b4288abb4db918869917c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Italy
111 rdf:type schema:DefinedTerm
112 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
113 schema:name Biological Sciences
114 rdf:type schema:DefinedTerm
115 anzsrc-for:0607 schema:inDefinedTermSet anzsrc-for:
116 schema:name Plant Biology
117 rdf:type schema:DefinedTerm
118 sg:journal.1113424 schema:issn 0944-1344
119 1614-7499
120 schema:name Environmental Science and Pollution Research
121 rdf:type schema:Periodical
122 sg:person.01263461226.53 schema:affiliation https://www.grid.ac/institutes/grid.426587.a
123 schema:familyName Calfapietra
124 schema:givenName Carlo
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263461226.53
126 rdf:type schema:Person
127 sg:person.0645731640.88 schema:affiliation https://www.grid.ac/institutes/grid.5326.2
128 schema:familyName Guidolotti
129 schema:givenName Gabriele
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645731640.88
131 rdf:type schema:Person
132 sg:pub.10.1007/978-1-4020-9121-6_21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020294529
133 https://doi.org/10.1007/978-1-4020-9121-6_21
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/s00703-003-0042-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1040304128
136 https://doi.org/10.1007/s00703-003-0042-y
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/s13280-014-0507-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017945055
139 https://doi.org/10.1007/s13280-014-0507-x
140 rdf:type schema:CreativeWork
141 sg:pub.10.1023/b:wate.0000026521.99552.fd schema:sameAs https://app.dimensions.ai/details/publication/pub.1003697101
142 https://doi.org/10.1023/b:wate.0000026521.99552.fd
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/0004-6981(87)90274-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047723794
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.atmosenv.2004.01.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016743450
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.atmosenv.2005.01.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005504523
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.atmosenv.2006.10.073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029660023
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.envpol.2010.12.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051603243
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.envpol.2011.01.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033032046
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.envpol.2014.05.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003660984
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.envpol.2014.08.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004824007
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.envpol.2014.11.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004020355
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.jenvman.2006.11.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004175256
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.landurbplan.2008.10.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037921260
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.landurbplan.2010.08.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052035226
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.scitotenv.2012.03.084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029561305
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.ufug.2006.01.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004759147
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/s0269-7491(00)00043-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042986354
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/s1352-2310(97)00066-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051566734
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1021/es050581y schema:sameAs https://app.dimensions.ai/details/publication/pub.1030405894
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1080/02786829408959680 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042558464
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1104/pp.90.3.1163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012007054
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1146/annurev.pp.33.060182.001533 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019920867
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1890/11-0561.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016885648
185 rdf:type schema:CreativeWork
186 https://doi.org/10.2134/jeq2015.01.0061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069011359
187 rdf:type schema:CreativeWork
188 https://doi.org/10.2307/1941997 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008801772
189 rdf:type schema:CreativeWork
190 https://doi.org/10.5194/acp-14-7461-2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012678270
191 rdf:type schema:CreativeWork
192 https://www.grid.ac/institutes/grid.426587.a schema:alternateName Global Change Research Centre
193 schema:name Global Change Research Centre, Bělidla 986/4a, 603 00, Brno, Czech Republic
194 Institute of Agro-Environmental & Forest Biology (IBAF), National Research Council (CNR), Via Marconi 2, I-05010, Porano, TR, Italy
195 rdf:type schema:Organization
196 https://www.grid.ac/institutes/grid.5326.2 schema:alternateName National Research Council
197 schema:name Institute of Agro-Environmental & Forest Biology (IBAF), National Research Council (CNR), Via Marconi 2, I-05010, Porano, TR, Italy
198 rdf:type schema:Organization
199 https://www.grid.ac/institutes/grid.5608.b schema:alternateName University of Padua
200 schema:name Department of Land, Environment, Agriculture and Forestry (LEAF), University of Padova, Viale dell’Università 16, 35020, Legnaro, PD, Italy
201 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...