Taking the pulse of forest plantations success in peri-urban environments through continuous inventory View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-03-07

AUTHORS

Barbara Ferrari, Piermaria Corona, Leone Davide Mancini, Riccardo Salvati, Anna Barbati

ABSTRACT

Urban expansion increases the need for, and pressure on, green areas. Reforestation projects in the rural–urban fringe represent an opportunity for enhancing the environmental quality of peri-urban spaces and a means to contribute to cities carbon neutrality policies. Yet, relatively little information exists regarding the long term (10–25 years) survival and growth rate in urban and peri-urban plantations. This paper reports and discusses the results achieved by a reforestation in the peri-urban space of Rome (Italy), 25 years after its establishment. The plantation has been periodically surveyed between 6 and 24 years of age by means of continuous inventories, with the aim of monitoring growth dynamics. Permanent sample plots have been investigated and stratified by tree species composition (broadleaves vs. conifers, single vs. multispecies) for data analysis. On the whole, plantations show suitable results in terms of rate of growth, carbon storage and uptake, especially in coniferous and mixed stands. The average stand volume of the forest plantation, currently ranges from one-and-a third to one-and-a-half times the average values estimated for natural high forest stands of the same age and species groups at country level. The species groups exhibit differential growth patterns over the observed period, that are mainly due to differences in the ecological traits of the planted trees. Ten years after the establishment, the average annual value of carbon uptake in conifer and mixed species group exceeds 10 Mg CO2 equivalent ha−1 year−1, a figure corresponding to 4 times the value of deciduous broadleaves (oaks and other species) and 1.5 times the value of evergreen oaks. Twenty years after the establishment, the average annual carbon uptake peaks to 25 Mg CO2 equivalent ha−1 year−1 in the mixed species group, exceeds 15 Mg CO2 equivalent ha−1 year−1 in the conifers, and ranks between 6 and 12.5 Mg CO2 equivalent ha−1 year−1 in the groups dominated by broadleaved species. Overall with a surface area just under 300 ha, the carbon uptake level of the Castel di Guido reforestation allows to offset the 0.04% of CO2 emissions of the city of Rome. Although the spatial coexistence of even-aged plantation blocks characterized by a range of ecological traits, is expected to ensure a more continuous carbon sequestration, being less susceptible to damage of any kind, the current lack of silvicultural management may also lead to degradation processes, by triggering e.g. fuel accumulation and, by consequence, forest fires. In this line, recommendations are provided in order to improve the ecological and functional efficiency of the investigated reforestation. The field experiment demonstrates, ultimately, the capability of the continuous forest inventory to take the pulse over several decades of tree species performance and carbon uptake levels in urban and peri-urban reforestations. More... »

PAGES

527-545

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11056-017-9580-x

DOI

http://dx.doi.org/10.1007/s11056-017-9580-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084029118


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/2008/07", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Agricultural and Veterinary Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0705", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Forestry Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department for Innovation in Biological, Agro-food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy", 
          "id": "http://www.grid.ac/institutes/grid.12597.38", 
          "name": [
            "Department for Innovation in Biological, Agro-food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ferrari", 
        "givenName": "Barbara", 
        "id": "sg:person.01343051671.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343051671.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Consiglio per la ricerca in agricoltura e l\u2019analisi dell\u2019economia agraria, Forestry Research Centre (CREA-SEL), Arezzo, Italy", 
          "id": "http://www.grid.ac/institutes/grid.426018.9", 
          "name": [
            "Consiglio per la ricerca in agricoltura e l\u2019analisi dell\u2019economia agraria, Forestry Research Centre (CREA-SEL), Arezzo, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Corona", 
        "givenName": "Piermaria", 
        "id": "sg:person.013671523646.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013671523646.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department for Innovation in Biological, Agro-food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy", 
          "id": "http://www.grid.ac/institutes/grid.12597.38", 
          "name": [
            "Department for Innovation in Biological, Agro-food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mancini", 
        "givenName": "Leone Davide", 
        "id": "sg:person.0665560771.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665560771.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department for Innovation in Biological, Agro-food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy", 
          "id": "http://www.grid.ac/institutes/grid.12597.38", 
          "name": [
            "Department for Innovation in Biological, Agro-food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Salvati", 
        "givenName": "Riccardo", 
        "id": "sg:person.015505551707.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015505551707.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department for Innovation in Biological, Agro-food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy", 
          "id": "http://www.grid.ac/institutes/grid.12597.38", 
          "name": [
            "Department for Innovation in Biological, Agro-food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Barbati", 
        "givenName": "Anna", 
        "id": "sg:person.0646146171.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646146171.54"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nclimate1685", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043260587", 
          "https://doi.org/10.1038/nclimate1685"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:vege.0000029381.63336.20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039723785", 
          "https://doi.org/10.1023/b:vege.0000029381.63336.20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11676-015-0144-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026743851", 
          "https://doi.org/10.1007/s11676-015-0144-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10021-002-0222-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015216436", 
          "https://doi.org/10.1007/s10021-002-0222-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-26599-6_17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037776382", 
          "https://doi.org/10.1007/3-540-26599-6_17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35083573", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045116489", 
          "https://doi.org/10.1038/35083573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1006523425548", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035858874", 
          "https://doi.org/10.1023/a:1006523425548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10342-008-0215-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036275967", 
          "https://doi.org/10.1007/s10342-008-0215-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-011-2866-7_252", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017780614", 
          "https://doi.org/10.1007/978-94-011-2866-7_252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-32572-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011839150", 
          "https://doi.org/10.1007/978-3-540-32572-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11056-015-9513-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038295681", 
          "https://doi.org/10.1007/s11056-015-9513-5"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-03-07", 
    "datePublishedReg": "2017-03-07", 
    "description": "Urban expansion increases the need for, and pressure on, green areas. Reforestation projects in the rural\u2013urban fringe represent an opportunity for enhancing the environmental quality of peri-urban spaces and a means to contribute to cities carbon neutrality policies. Yet, relatively little information exists regarding the long term (10\u201325\u00a0years) survival and growth rate in urban and peri-urban plantations. This paper reports and discusses the results achieved by a reforestation in the peri-urban space of Rome (Italy), 25\u00a0years after its establishment. The plantation has been periodically surveyed between 6 and 24\u00a0years of age by means of continuous inventories, with the aim of monitoring growth dynamics. Permanent sample plots have been investigated and stratified by tree species composition (broadleaves vs. conifers, single vs. multispecies) for data analysis. On the whole, plantations show suitable results in terms of rate of growth, carbon storage and uptake, especially in coniferous and mixed stands. The average stand volume of the forest plantation, currently ranges from one-and-a third to one-and-a-half times the average values estimated for natural high forest stands of the same age and species groups at country level. The species groups exhibit differential growth patterns over the observed period, that are mainly due to differences in the ecological traits of the planted trees. Ten years after the establishment, the average annual value of carbon uptake in conifer and mixed species group exceeds 10\u00a0Mg CO2 equivalent ha\u22121 year\u22121, a figure corresponding to 4 times the value of deciduous broadleaves (oaks and other species) and 1.5 times the value of evergreen oaks. Twenty years after the establishment, the average annual carbon uptake peaks to 25\u00a0Mg CO2 equivalent ha\u22121 year\u22121 in the mixed species group, exceeds 15\u00a0Mg CO2 equivalent ha\u22121 year\u22121 in the conifers, and ranks between 6 and 12.5\u00a0Mg CO2 equivalent ha\u22121 year\u22121 in the groups dominated by broadleaved species. Overall with a surface area just under 300\u00a0ha, the carbon uptake level of the Castel di Guido reforestation allows to offset the 0.04% of CO2 emissions of the city of Rome. Although the spatial coexistence of even-aged plantation blocks characterized by a range of ecological traits, is expected to ensure a more continuous carbon sequestration, being less susceptible to damage of any kind, the current lack of silvicultural management may also lead to degradation processes, by triggering e.g. fuel accumulation and, by consequence, forest fires. In this line, recommendations are provided in order to improve the ecological and functional efficiency of the investigated reforestation. The field experiment demonstrates, ultimately, the capability of the continuous forest inventory to take the pulse over several decades of tree species performance and carbon uptake levels in urban and peri-urban reforestations.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s11056-017-9580-x", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6855372", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1135892", 
        "issn": [
          "0169-4286", 
          "1573-5095"
        ], 
        "name": "New Forests", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "48"
      }
    ], 
    "keywords": [
      "Mg CO2", 
      "mixed-species groups", 
      "species groups", 
      "peri-urban spaces", 
      "ecological traits", 
      "continuous inventory", 
      "tree species composition", 
      "tree species performance", 
      "peri-urban environments", 
      "high-forest stands", 
      "permanent sample plots", 
      "continuous forest inventory", 
      "carbon neutrality policy", 
      "rural-urban fringe", 
      "plantation blocks", 
      "carbon storage", 
      "carbon sequestration", 
      "reforestation projects", 
      "species composition", 
      "forest plantations", 
      "species performance", 
      "plantation success", 
      "silvicultural management", 
      "deciduous broadleaf", 
      "broadleaved species", 
      "forest inventory", 
      "forest stands", 
      "sample plots", 
      "carbon uptake", 
      "mixed stands", 
      "fuel accumulation", 
      "urban expansion", 
      "green areas", 
      "environmental quality", 
      "reforestation", 
      "forest fires", 
      "average stand volume", 
      "evergreen oaks", 
      "plantations", 
      "average annual values", 
      "field experiment", 
      "stand volume", 
      "spatial coexistence", 
      "uptake peak", 
      "annual values", 
      "conifers", 
      "stands", 
      "CO2 emissions", 
      "degradation process", 
      "establishment", 
      "city of Rome", 
      "little information", 
      "growth dynamics", 
      "CO2", 
      "Inventory", 
      "traits", 
      "broadleaf", 
      "sequestration", 
      "oak", 
      "area", 
      "fire", 
      "uptake", 
      "country level", 
      "species", 
      "plots", 
      "carbon", 
      "average value", 
      "trees", 
      "growth rate", 
      "current lack", 
      "differential growth patterns", 
      "growth pattern", 
      "uptake levels", 
      "management", 
      "composition", 
      "neutrality policy", 
      "coexistence", 
      "functional efficiency", 
      "fringes", 
      "long-term survival", 
      "dynamics", 
      "years", 
      "observed period", 
      "environment", 
      "suitable results", 
      "emission", 
      "accumulation", 
      "city", 
      "values", 
      "patterns", 
      "Castel", 
      "consequences", 
      "levels", 
      "term survival", 
      "success", 
      "decades", 
      "expansion", 
      "storage", 
      "quality", 
      "growth", 
      "policy", 
      "range", 
      "surface area", 
      "rate", 
      "project", 
      "opportunities", 
      "half times", 
      "results", 
      "whole", 
      "space", 
      "period", 
      "lack", 
      "time", 
      "need", 
      "information", 
      "survival", 
      "experiments", 
      "differences", 
      "recommendations", 
      "means", 
      "data analysis", 
      "process", 
      "terms of rate", 
      "third", 
      "pressure", 
      "damage", 
      "group", 
      "analysis", 
      "Rome", 
      "aim", 
      "order", 
      "terms", 
      "same age", 
      "pulses", 
      "efficiency", 
      "peak", 
      "capability", 
      "volume", 
      "kind", 
      "paper", 
      "age", 
      "figures", 
      "lines", 
      "block", 
      "performance", 
      "years of age"
    ], 
    "name": "Taking the pulse of forest plantations success in peri-urban environments through continuous inventory", 
    "pagination": "527-545", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1084029118"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11056-017-9580-x"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11056-017-9580-x", 
      "https://app.dimensions.ai/details/publication/pub.1084029118"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:35", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_731.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s11056-017-9580-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/s11056-017-9580-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/s11056-017-9580-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11056-017-9580-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11056-017-9580-x'


 

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

280 TRIPLES      21 PREDICATES      181 URIs      162 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11056-017-9580-x schema:about anzsrc-for:07
2 anzsrc-for:0705
3 schema:author N478ee0d6efba4802a015e825c6e27415
4 schema:citation sg:pub.10.1007/3-540-26599-6_17
5 sg:pub.10.1007/978-3-540-32572-7
6 sg:pub.10.1007/978-94-011-2866-7_252
7 sg:pub.10.1007/s10021-002-0222-5
8 sg:pub.10.1007/s10342-008-0215-9
9 sg:pub.10.1007/s11056-015-9513-5
10 sg:pub.10.1007/s11676-015-0144-7
11 sg:pub.10.1023/a:1006523425548
12 sg:pub.10.1023/b:vege.0000029381.63336.20
13 sg:pub.10.1038/35083573
14 sg:pub.10.1038/nclimate1685
15 schema:datePublished 2017-03-07
16 schema:datePublishedReg 2017-03-07
17 schema:description Urban expansion increases the need for, and pressure on, green areas. Reforestation projects in the rural–urban fringe represent an opportunity for enhancing the environmental quality of peri-urban spaces and a means to contribute to cities carbon neutrality policies. Yet, relatively little information exists regarding the long term (10–25 years) survival and growth rate in urban and peri-urban plantations. This paper reports and discusses the results achieved by a reforestation in the peri-urban space of Rome (Italy), 25 years after its establishment. The plantation has been periodically surveyed between 6 and 24 years of age by means of continuous inventories, with the aim of monitoring growth dynamics. Permanent sample plots have been investigated and stratified by tree species composition (broadleaves vs. conifers, single vs. multispecies) for data analysis. On the whole, plantations show suitable results in terms of rate of growth, carbon storage and uptake, especially in coniferous and mixed stands. The average stand volume of the forest plantation, currently ranges from one-and-a third to one-and-a-half times the average values estimated for natural high forest stands of the same age and species groups at country level. The species groups exhibit differential growth patterns over the observed period, that are mainly due to differences in the ecological traits of the planted trees. Ten years after the establishment, the average annual value of carbon uptake in conifer and mixed species group exceeds 10 Mg CO2 equivalent ha−1 year−1, a figure corresponding to 4 times the value of deciduous broadleaves (oaks and other species) and 1.5 times the value of evergreen oaks. Twenty years after the establishment, the average annual carbon uptake peaks to 25 Mg CO2 equivalent ha−1 year−1 in the mixed species group, exceeds 15 Mg CO2 equivalent ha−1 year−1 in the conifers, and ranks between 6 and 12.5 Mg CO2 equivalent ha−1 year−1 in the groups dominated by broadleaved species. Overall with a surface area just under 300 ha, the carbon uptake level of the Castel di Guido reforestation allows to offset the 0.04% of CO2 emissions of the city of Rome. Although the spatial coexistence of even-aged plantation blocks characterized by a range of ecological traits, is expected to ensure a more continuous carbon sequestration, being less susceptible to damage of any kind, the current lack of silvicultural management may also lead to degradation processes, by triggering e.g. fuel accumulation and, by consequence, forest fires. In this line, recommendations are provided in order to improve the ecological and functional efficiency of the investigated reforestation. The field experiment demonstrates, ultimately, the capability of the continuous forest inventory to take the pulse over several decades of tree species performance and carbon uptake levels in urban and peri-urban reforestations.
18 schema:genre article
19 schema:isAccessibleForFree true
20 schema:isPartOf N2afca420cbde4cf081c5e47a3a5c999e
21 N75f7f1e7882e4a1380758d2d61d03ed6
22 sg:journal.1135892
23 schema:keywords CO2
24 CO2 emissions
25 Castel
26 Inventory
27 Mg CO2
28 Rome
29 accumulation
30 age
31 aim
32 analysis
33 annual values
34 area
35 average annual values
36 average stand volume
37 average value
38 block
39 broadleaf
40 broadleaved species
41 capability
42 carbon
43 carbon neutrality policy
44 carbon sequestration
45 carbon storage
46 carbon uptake
47 city
48 city of Rome
49 coexistence
50 composition
51 conifers
52 consequences
53 continuous forest inventory
54 continuous inventory
55 country level
56 current lack
57 damage
58 data analysis
59 decades
60 deciduous broadleaf
61 degradation process
62 differences
63 differential growth patterns
64 dynamics
65 ecological traits
66 efficiency
67 emission
68 environment
69 environmental quality
70 establishment
71 evergreen oaks
72 expansion
73 experiments
74 field experiment
75 figures
76 fire
77 forest fires
78 forest inventory
79 forest plantations
80 forest stands
81 fringes
82 fuel accumulation
83 functional efficiency
84 green areas
85 group
86 growth
87 growth dynamics
88 growth pattern
89 growth rate
90 half times
91 high-forest stands
92 information
93 kind
94 lack
95 levels
96 lines
97 little information
98 long-term survival
99 management
100 means
101 mixed stands
102 mixed-species groups
103 need
104 neutrality policy
105 oak
106 observed period
107 opportunities
108 order
109 paper
110 patterns
111 peak
112 performance
113 peri-urban environments
114 peri-urban spaces
115 period
116 permanent sample plots
117 plantation blocks
118 plantation success
119 plantations
120 plots
121 policy
122 pressure
123 process
124 project
125 pulses
126 quality
127 range
128 rate
129 recommendations
130 reforestation
131 reforestation projects
132 results
133 rural-urban fringe
134 same age
135 sample plots
136 sequestration
137 silvicultural management
138 space
139 spatial coexistence
140 species
141 species composition
142 species groups
143 species performance
144 stand volume
145 stands
146 storage
147 success
148 suitable results
149 surface area
150 survival
151 term survival
152 terms
153 terms of rate
154 third
155 time
156 traits
157 tree species composition
158 tree species performance
159 trees
160 uptake
161 uptake levels
162 uptake peak
163 urban expansion
164 values
165 volume
166 whole
167 years
168 years of age
169 schema:name Taking the pulse of forest plantations success in peri-urban environments through continuous inventory
170 schema:pagination 527-545
171 schema:productId N243ce763922743f2976315bafabf311c
172 Ne18bf05ae68d4675b8ecedc93038cc27
173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084029118
174 https://doi.org/10.1007/s11056-017-9580-x
175 schema:sdDatePublished 2022-12-01T06:35
176 schema:sdLicense https://scigraph.springernature.com/explorer/license/
177 schema:sdPublisher Nd978aa4df56c4846a51bc1ff4e08226c
178 schema:url https://doi.org/10.1007/s11056-017-9580-x
179 sgo:license sg:explorer/license/
180 sgo:sdDataset articles
181 rdf:type schema:ScholarlyArticle
182 N243ce763922743f2976315bafabf311c schema:name doi
183 schema:value 10.1007/s11056-017-9580-x
184 rdf:type schema:PropertyValue
185 N2afca420cbde4cf081c5e47a3a5c999e schema:issueNumber 4
186 rdf:type schema:PublicationIssue
187 N4782340286f34155a20c57b6756fa0ff rdf:first sg:person.013671523646.48
188 rdf:rest Nbd309ff1957741039538b92326e8bc4e
189 N478ee0d6efba4802a015e825c6e27415 rdf:first sg:person.01343051671.05
190 rdf:rest N4782340286f34155a20c57b6756fa0ff
191 N74e3c0a1d10b4d59979c147d8c34d3eb rdf:first sg:person.0646146171.54
192 rdf:rest rdf:nil
193 N75f7f1e7882e4a1380758d2d61d03ed6 schema:volumeNumber 48
194 rdf:type schema:PublicationVolume
195 N85facf786acb4c0babba743fcda18880 rdf:first sg:person.015505551707.69
196 rdf:rest N74e3c0a1d10b4d59979c147d8c34d3eb
197 Nbd309ff1957741039538b92326e8bc4e rdf:first sg:person.0665560771.07
198 rdf:rest N85facf786acb4c0babba743fcda18880
199 Nd978aa4df56c4846a51bc1ff4e08226c schema:name Springer Nature - SN SciGraph project
200 rdf:type schema:Organization
201 Ne18bf05ae68d4675b8ecedc93038cc27 schema:name dimensions_id
202 schema:value pub.1084029118
203 rdf:type schema:PropertyValue
204 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
205 schema:name Agricultural and Veterinary Sciences
206 rdf:type schema:DefinedTerm
207 anzsrc-for:0705 schema:inDefinedTermSet anzsrc-for:
208 schema:name Forestry Sciences
209 rdf:type schema:DefinedTerm
210 sg:grant.6855372 http://pending.schema.org/fundedItem sg:pub.10.1007/s11056-017-9580-x
211 rdf:type schema:MonetaryGrant
212 sg:journal.1135892 schema:issn 0169-4286
213 1573-5095
214 schema:name New Forests
215 schema:publisher Springer Nature
216 rdf:type schema:Periodical
217 sg:person.01343051671.05 schema:affiliation grid-institutes:grid.12597.38
218 schema:familyName Ferrari
219 schema:givenName Barbara
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343051671.05
221 rdf:type schema:Person
222 sg:person.013671523646.48 schema:affiliation grid-institutes:grid.426018.9
223 schema:familyName Corona
224 schema:givenName Piermaria
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013671523646.48
226 rdf:type schema:Person
227 sg:person.015505551707.69 schema:affiliation grid-institutes:grid.12597.38
228 schema:familyName Salvati
229 schema:givenName Riccardo
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015505551707.69
231 rdf:type schema:Person
232 sg:person.0646146171.54 schema:affiliation grid-institutes:grid.12597.38
233 schema:familyName Barbati
234 schema:givenName Anna
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646146171.54
236 rdf:type schema:Person
237 sg:person.0665560771.07 schema:affiliation grid-institutes:grid.12597.38
238 schema:familyName Mancini
239 schema:givenName Leone Davide
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665560771.07
241 rdf:type schema:Person
242 sg:pub.10.1007/3-540-26599-6_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037776382
243 https://doi.org/10.1007/3-540-26599-6_17
244 rdf:type schema:CreativeWork
245 sg:pub.10.1007/978-3-540-32572-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011839150
246 https://doi.org/10.1007/978-3-540-32572-7
247 rdf:type schema:CreativeWork
248 sg:pub.10.1007/978-94-011-2866-7_252 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017780614
249 https://doi.org/10.1007/978-94-011-2866-7_252
250 rdf:type schema:CreativeWork
251 sg:pub.10.1007/s10021-002-0222-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015216436
252 https://doi.org/10.1007/s10021-002-0222-5
253 rdf:type schema:CreativeWork
254 sg:pub.10.1007/s10342-008-0215-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036275967
255 https://doi.org/10.1007/s10342-008-0215-9
256 rdf:type schema:CreativeWork
257 sg:pub.10.1007/s11056-015-9513-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038295681
258 https://doi.org/10.1007/s11056-015-9513-5
259 rdf:type schema:CreativeWork
260 sg:pub.10.1007/s11676-015-0144-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026743851
261 https://doi.org/10.1007/s11676-015-0144-7
262 rdf:type schema:CreativeWork
263 sg:pub.10.1023/a:1006523425548 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035858874
264 https://doi.org/10.1023/a:1006523425548
265 rdf:type schema:CreativeWork
266 sg:pub.10.1023/b:vege.0000029381.63336.20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039723785
267 https://doi.org/10.1023/b:vege.0000029381.63336.20
268 rdf:type schema:CreativeWork
269 sg:pub.10.1038/35083573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045116489
270 https://doi.org/10.1038/35083573
271 rdf:type schema:CreativeWork
272 sg:pub.10.1038/nclimate1685 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043260587
273 https://doi.org/10.1038/nclimate1685
274 rdf:type schema:CreativeWork
275 grid-institutes:grid.12597.38 schema:alternateName Department for Innovation in Biological, Agro-food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy
276 schema:name Department for Innovation in Biological, Agro-food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy
277 rdf:type schema:Organization
278 grid-institutes:grid.426018.9 schema:alternateName Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria, Forestry Research Centre (CREA-SEL), Arezzo, Italy
279 schema:name Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria, Forestry Research Centre (CREA-SEL), Arezzo, Italy
280 rdf:type schema:Organization
 




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


...