Risk Assessment of UK Skylark Populations Using Life-History and Individual-Based Landscape Models View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2005-11-22

AUTHORS

C. J. Topping, R. M. Sibly, H. R. Akçakaya, G. C. Smith, D. R. Crocker

ABSTRACT

Following a workshop exercise, two models, an individual-based landscape model (IBLM) and a non-spatial life-history model were used to assess the impact of a fictitious insecticide on populations of skylarks in the UK. The chosen population endpoints were abundance, population growth rate, and the chances of population persistence. Both models used the same life-history descriptors and toxicity profiles as the basis for their parameter inputs. The models differed in that exposure was a pre-determined parameter in the life-history model, but an emergent property of the IBLM, and the IBLM required a landscape structure as an input. The model outputs were qualitatively similar between the two models. Under conditions dominated by winter wheat, both models predicted a population decline that was worsened by the use of the insecticide. Under broader habitat conditions, population declines were only predicted for the scenarios where the insecticide was added. Inputs to the models are very different, with the IBLM requiring a large volume of data in order to achieve the flexibility of being able to integrate a range of environmental and behavioural factors. The life-history model has very few explicit data inputs, but some of these relied on extensive prior modelling needing additional data as described in Roelofs et al. (2005, this volume). Both models have strengths and weaknesses; hence the ideal approach is that of combining the use of both simple and comprehensive modeling tools. More... »

PAGES

925-936

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10646-005-0027-3

DOI

http://dx.doi.org/10.1007/s10646-005-0027-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012367427

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16328718


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/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0602", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Ecology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Birds", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Environmental Pollutants", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Biological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pesticides", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Population Density", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Assessment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Triticum", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "United Kingdom", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "NERI, R\u00f8nde, Denmark", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "EcoSol, F\u00e5rupvej 54, DK-8410, R\u00f8nde, Denmark", 
            "NERI, R\u00f8nde, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Topping", 
        "givenName": "C. J.", 
        "id": "sg:person.01350232334.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01350232334.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Reading, Reading, Whiteknights, UK", 
          "id": "http://www.grid.ac/institutes/grid.9435.b", 
          "name": [
            "University of Reading, Reading, Whiteknights, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sibly", 
        "givenName": "R. M.", 
        "id": "sg:person.01055332110.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055332110.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Applied Biomathematics, Setauket, New York, USA", 
          "id": "http://www.grid.ac/institutes/grid.422751.7", 
          "name": [
            "Applied Biomathematics, Setauket, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ak\u00e7akaya", 
        "givenName": "H. R.", 
        "id": "sg:person.01227752311.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227752311.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Central Science Laboratory, York, Sand Hutton, UK", 
          "id": "http://www.grid.ac/institutes/grid.470556.5", 
          "name": [
            "Central Science Laboratory, York, Sand Hutton, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Smith", 
        "givenName": "G. C.", 
        "id": "sg:person.0663611776.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663611776.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Central Science Laboratory, York, Sand Hutton, UK", 
          "id": "http://www.grid.ac/institutes/grid.470556.5", 
          "name": [
            "Central Science Laboratory, York, Sand Hutton, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Crocker", 
        "givenName": "D. R.", 
        "id": "sg:person.0600531431.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600531431.72"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10646-005-0029-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010000178", 
          "https://doi.org/10.1007/s10646-005-0029-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10646-005-0034-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021516558", 
          "https://doi.org/10.1007/s10646-005-0034-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10646-005-0033-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022562091", 
          "https://doi.org/10.1007/s10646-005-0033-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10646-005-0035-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029580452", 
          "https://doi.org/10.1007/s10646-005-0035-3"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005-11-22", 
    "datePublishedReg": "2005-11-22", 
    "description": "Following a workshop exercise, two models, an individual-based landscape model (IBLM) and a non-spatial life-history model were used to assess the impact of a fictitious insecticide on populations of skylarks in the UK. The chosen population endpoints were abundance, population growth rate, and the chances of population persistence. Both models used the same life-history descriptors and toxicity profiles as the basis for their parameter inputs. The models differed in that exposure was a pre-determined parameter in the life-history model, but an emergent property of the IBLM, and the IBLM required a landscape structure as an input. The model outputs were qualitatively similar between the two models. Under conditions dominated by winter wheat, both models predicted a population decline that was worsened by the use of the insecticide. Under broader habitat conditions, population declines were only predicted for the scenarios where the insecticide was added. Inputs to the models are very different, with the IBLM requiring a large volume of data in order to achieve the flexibility of being able to integrate a range of environmental and behavioural factors. The life-history model has very few explicit data inputs, but some of these relied on extensive prior modelling needing additional data as described in Roelofs et\u00a0al. (2005, this volume). Both models have strengths and weaknesses; hence the ideal approach is that of combining the use of both simple and comprehensive modeling tools.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10646-005-0027-3", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1129600", 
        "issn": [
          "0963-9292", 
          "1573-3017"
        ], 
        "name": "Ecotoxicology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "8", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "14"
      }
    ], 
    "keywords": [
      "life-history model", 
      "population decline", 
      "population growth rate", 
      "population persistence", 
      "habitat conditions", 
      "landscape model", 
      "landscape structure", 
      "skylark populations", 
      "population endpoints", 
      "winter wheat", 
      "insecticides", 
      "growth rate", 
      "emergent properties", 
      "Skylarks", 
      "abundance", 
      "wheat", 
      "population", 
      "decline", 
      "persistence", 
      "additional data", 
      "conditions", 
      "basis", 
      "ideal approach", 
      "factors", 
      "structure", 
      "profile", 
      "risk assessment", 
      "individuals", 
      "exposure", 
      "data", 
      "model output", 
      "tool", 
      "model", 
      "input", 
      "impact", 
      "range", 
      "use", 
      "ET", 
      "rate", 
      "chance", 
      "approach", 
      "large volumes", 
      "flexibility", 
      "parameter inputs", 
      "order", 
      "properties", 
      "toxicity profile", 
      "scenarios", 
      "descriptors", 
      "modeling tools", 
      "modelling", 
      "endpoints", 
      "assessment", 
      "behavioral factors", 
      "output", 
      "parameters", 
      "al", 
      "volume", 
      "strength", 
      "UK", 
      "data input", 
      "weakness", 
      "exercise", 
      "prior modelling", 
      "pre-determined parameters", 
      "comprehensive modeling tool", 
      "workshop exercises", 
      "IBLM", 
      "non-spatial life-history model", 
      "fictitious insecticide", 
      "populations of skylarks", 
      "same life-history descriptors", 
      "life-history descriptors", 
      "broader habitat conditions", 
      "explicit data inputs", 
      "extensive prior modelling", 
      "Roelofs et", 
      "UK Skylark Populations"
    ], 
    "name": "Risk Assessment of UK Skylark Populations Using Life-History and Individual-Based Landscape Models", 
    "pagination": "925-936", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1012367427"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10646-005-0027-3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16328718"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10646-005-0027-3", 
      "https://app.dimensions.ai/details/publication/pub.1012367427"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-11-01T18:08", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_406.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10646-005-0027-3"
  }
]
 

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/s10646-005-0027-3'

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/s10646-005-0027-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10646-005-0027-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10646-005-0027-3'


 

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

230 TRIPLES      22 PREDICATES      117 URIs      105 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10646-005-0027-3 schema:about N09184000ac6c444ba766004460dc7621
2 N1f723a193c1e4a5c9aa399998ec68764
3 N286bd09e968a4fb5b18053f1c74e7041
4 N5357ff2bb8cb4ea4b514c6ec18e7fbc5
5 N91b7c6d485404fbbbc6c949bb8d4ae6e
6 N99199910c91d4119916606fb0fa95091
7 Nc7d6d3d4015a49d780de069cfafd1b78
8 Ne68ed5cc81d643938fd23d91a02fa5b6
9 Nec31633e3a0f47b4b3f11d905397f5dc
10 anzsrc-for:06
11 anzsrc-for:0602
12 schema:author Nae575174bdb5401c9ecc17b25c9266b7
13 schema:citation sg:pub.10.1007/s10646-005-0029-1
14 sg:pub.10.1007/s10646-005-0033-5
15 sg:pub.10.1007/s10646-005-0034-4
16 sg:pub.10.1007/s10646-005-0035-3
17 schema:datePublished 2005-11-22
18 schema:datePublishedReg 2005-11-22
19 schema:description Following a workshop exercise, two models, an individual-based landscape model (IBLM) and a non-spatial life-history model were used to assess the impact of a fictitious insecticide on populations of skylarks in the UK. The chosen population endpoints were abundance, population growth rate, and the chances of population persistence. Both models used the same life-history descriptors and toxicity profiles as the basis for their parameter inputs. The models differed in that exposure was a pre-determined parameter in the life-history model, but an emergent property of the IBLM, and the IBLM required a landscape structure as an input. The model outputs were qualitatively similar between the two models. Under conditions dominated by winter wheat, both models predicted a population decline that was worsened by the use of the insecticide. Under broader habitat conditions, population declines were only predicted for the scenarios where the insecticide was added. Inputs to the models are very different, with the IBLM requiring a large volume of data in order to achieve the flexibility of being able to integrate a range of environmental and behavioural factors. The life-history model has very few explicit data inputs, but some of these relied on extensive prior modelling needing additional data as described in Roelofs et al. (2005, this volume). Both models have strengths and weaknesses; hence the ideal approach is that of combining the use of both simple and comprehensive modeling tools.
20 schema:genre article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N27260e2eb02f46d884909c5e46a4300a
24 N830d285beda640ce85b44b404abd76a5
25 sg:journal.1129600
26 schema:keywords ET
27 IBLM
28 Roelofs et
29 Skylarks
30 UK
31 UK Skylark Populations
32 abundance
33 additional data
34 al
35 approach
36 assessment
37 basis
38 behavioral factors
39 broader habitat conditions
40 chance
41 comprehensive modeling tool
42 conditions
43 data
44 data input
45 decline
46 descriptors
47 emergent properties
48 endpoints
49 exercise
50 explicit data inputs
51 exposure
52 extensive prior modelling
53 factors
54 fictitious insecticide
55 flexibility
56 growth rate
57 habitat conditions
58 ideal approach
59 impact
60 individuals
61 input
62 insecticides
63 landscape model
64 landscape structure
65 large volumes
66 life-history descriptors
67 life-history model
68 model
69 model output
70 modeling tools
71 modelling
72 non-spatial life-history model
73 order
74 output
75 parameter inputs
76 parameters
77 persistence
78 population
79 population decline
80 population endpoints
81 population growth rate
82 population persistence
83 populations of skylarks
84 pre-determined parameters
85 prior modelling
86 profile
87 properties
88 range
89 rate
90 risk assessment
91 same life-history descriptors
92 scenarios
93 skylark populations
94 strength
95 structure
96 tool
97 toxicity profile
98 use
99 volume
100 weakness
101 wheat
102 winter wheat
103 workshop exercises
104 schema:name Risk Assessment of UK Skylark Populations Using Life-History and Individual-Based Landscape Models
105 schema:pagination 925-936
106 schema:productId N593ab144eeff4c7bb610c3b8f6fb461a
107 Nc066ed51b67442edaec22f15f8f26a93
108 Nf1e0592da1f342be942ab06550b0b6b2
109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012367427
110 https://doi.org/10.1007/s10646-005-0027-3
111 schema:sdDatePublished 2021-11-01T18:08
112 schema:sdLicense https://scigraph.springernature.com/explorer/license/
113 schema:sdPublisher N74309cefa16540438d6994435ff81a64
114 schema:url https://doi.org/10.1007/s10646-005-0027-3
115 sgo:license sg:explorer/license/
116 sgo:sdDataset articles
117 rdf:type schema:ScholarlyArticle
118 N09184000ac6c444ba766004460dc7621 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name United Kingdom
120 rdf:type schema:DefinedTerm
121 N1f723a193c1e4a5c9aa399998ec68764 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Pesticides
123 rdf:type schema:DefinedTerm
124 N27260e2eb02f46d884909c5e46a4300a schema:volumeNumber 14
125 rdf:type schema:PublicationVolume
126 N286bd09e968a4fb5b18053f1c74e7041 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Birds
128 rdf:type schema:DefinedTerm
129 N31c901f805544c4f8bc464ef2fd9a5c1 rdf:first sg:person.01227752311.33
130 rdf:rest N4cbff27645074b0eac0ca91e8fd26902
131 N32b0b4d5c2374f09b06e5b1060dbe66b rdf:first sg:person.0600531431.72
132 rdf:rest rdf:nil
133 N4cbff27645074b0eac0ca91e8fd26902 rdf:first sg:person.0663611776.97
134 rdf:rest N32b0b4d5c2374f09b06e5b1060dbe66b
135 N5357ff2bb8cb4ea4b514c6ec18e7fbc5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Models, Biological
137 rdf:type schema:DefinedTerm
138 N593ab144eeff4c7bb610c3b8f6fb461a schema:name pubmed_id
139 schema:value 16328718
140 rdf:type schema:PropertyValue
141 N74309cefa16540438d6994435ff81a64 schema:name Springer Nature - SN SciGraph project
142 rdf:type schema:Organization
143 N830d285beda640ce85b44b404abd76a5 schema:issueNumber 8
144 rdf:type schema:PublicationIssue
145 N91b7c6d485404fbbbc6c949bb8d4ae6e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Triticum
147 rdf:type schema:DefinedTerm
148 N99199910c91d4119916606fb0fa95091 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Animals
150 rdf:type schema:DefinedTerm
151 N9ffd7bc973b749319743f4d94d5f6449 rdf:first sg:person.01055332110.42
152 rdf:rest N31c901f805544c4f8bc464ef2fd9a5c1
153 Nae575174bdb5401c9ecc17b25c9266b7 rdf:first sg:person.01350232334.20
154 rdf:rest N9ffd7bc973b749319743f4d94d5f6449
155 Nc066ed51b67442edaec22f15f8f26a93 schema:name dimensions_id
156 schema:value pub.1012367427
157 rdf:type schema:PropertyValue
158 Nc7d6d3d4015a49d780de069cfafd1b78 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Population Density
160 rdf:type schema:DefinedTerm
161 Ne68ed5cc81d643938fd23d91a02fa5b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Risk Assessment
163 rdf:type schema:DefinedTerm
164 Nec31633e3a0f47b4b3f11d905397f5dc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Environmental Pollutants
166 rdf:type schema:DefinedTerm
167 Nf1e0592da1f342be942ab06550b0b6b2 schema:name doi
168 schema:value 10.1007/s10646-005-0027-3
169 rdf:type schema:PropertyValue
170 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
171 schema:name Biological Sciences
172 rdf:type schema:DefinedTerm
173 anzsrc-for:0602 schema:inDefinedTermSet anzsrc-for:
174 schema:name Ecology
175 rdf:type schema:DefinedTerm
176 sg:journal.1129600 schema:issn 0963-9292
177 1573-3017
178 schema:name Ecotoxicology
179 schema:publisher Springer Nature
180 rdf:type schema:Periodical
181 sg:person.01055332110.42 schema:affiliation grid-institutes:grid.9435.b
182 schema:familyName Sibly
183 schema:givenName R. M.
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055332110.42
185 rdf:type schema:Person
186 sg:person.01227752311.33 schema:affiliation grid-institutes:grid.422751.7
187 schema:familyName Akçakaya
188 schema:givenName H. R.
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227752311.33
190 rdf:type schema:Person
191 sg:person.01350232334.20 schema:affiliation grid-institutes:None
192 schema:familyName Topping
193 schema:givenName C. J.
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01350232334.20
195 rdf:type schema:Person
196 sg:person.0600531431.72 schema:affiliation grid-institutes:grid.470556.5
197 schema:familyName Crocker
198 schema:givenName D. R.
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600531431.72
200 rdf:type schema:Person
201 sg:person.0663611776.97 schema:affiliation grid-institutes:grid.470556.5
202 schema:familyName Smith
203 schema:givenName G. C.
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663611776.97
205 rdf:type schema:Person
206 sg:pub.10.1007/s10646-005-0029-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010000178
207 https://doi.org/10.1007/s10646-005-0029-1
208 rdf:type schema:CreativeWork
209 sg:pub.10.1007/s10646-005-0033-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022562091
210 https://doi.org/10.1007/s10646-005-0033-5
211 rdf:type schema:CreativeWork
212 sg:pub.10.1007/s10646-005-0034-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021516558
213 https://doi.org/10.1007/s10646-005-0034-4
214 rdf:type schema:CreativeWork
215 sg:pub.10.1007/s10646-005-0035-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029580452
216 https://doi.org/10.1007/s10646-005-0035-3
217 rdf:type schema:CreativeWork
218 grid-institutes:None schema:alternateName NERI, Rønde, Denmark
219 schema:name EcoSol, Fårupvej 54, DK-8410, Rønde, Denmark
220 NERI, Rønde, Denmark
221 rdf:type schema:Organization
222 grid-institutes:grid.422751.7 schema:alternateName Applied Biomathematics, Setauket, New York, USA
223 schema:name Applied Biomathematics, Setauket, New York, USA
224 rdf:type schema:Organization
225 grid-institutes:grid.470556.5 schema:alternateName Central Science Laboratory, York, Sand Hutton, UK
226 schema:name Central Science Laboratory, York, Sand Hutton, UK
227 rdf:type schema:Organization
228 grid-institutes:grid.9435.b schema:alternateName University of Reading, Reading, Whiteknights, UK
229 schema:name University of Reading, Reading, Whiteknights, UK
230 rdf:type schema:Organization
 




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


...