The nutritional status of Picea abies (L.) Karst. across Europe, and implications for ‘forest decline’ View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1990-12

AUTHORS

J. Neil Cape, Peter H. Freer-Smith, Ian S. Paterson, Jack A. Parkinson, Jennifer Wolfenden

ABSTRACT

During the summer of 1986, three year-classes of foliage were sampled from approximately 30-year-old Norway spruce [Picea abies (L.) Karst.] trees at 12 sites from S. W. Germany to N. Scotland. At sites in Germany, where trees were showing symptoms of ‘decline’, samples were taken from trees with ‘good’ crown condition and ‘poor’ crown conditon. The distinction between ‘good’ and ‘poor’ was made on the basis of international protocols for defining crown density and foliar discoloration. There was a wide range in nutrient content (percent dry weight) in apparently healthy trees. Current year foliage had ranges of mean values per site: S(0.07–0.13%), N(0.9–1.4%), K(0.5–0.9%), Ca(0.2–0.7%), and Mg (0.05–0.1%). Ranges were greater for 2-year-old foliage: S(0.09–0.18%), N(1.0–1.8%), K(0.4–0.7%), Ca(0.2–1.4%), and Mg(0.03–0.09%). At sites with trees having ‘poor’ crown condition, there were significantly smaller concentrations of Mg and Ca, and larger concentrations of K in 2-year-old foliage from ‘poor’ trees, compared with adjacent ‘good’ trees. Ratios of nutrient content were more significantly related to crown condition within sites than individual nutrients, especially in older needles. ‘Poor’ crowns were associated with larger ratios of N∶Mg, K∶Mg, S∶Mg, K∶Ca and smaller ratios of S∶K and N∶K. A ‘risk index’ is defined for trees showing no visible ‘decline’ symptoms, based upon nutrient content and nutrient ratios, which may be useful in identifying sites liable to experience deterioration in crown condition.With the exception of one German site, where few ‘poor’ trees were observed, the index increases from Scottish sites to English sites to Dutch sites to German sites. The index is empirical, and not necessarily related to potential effects of air pollution. The time dependence of foliar nutrient content may also be useful in diagnosis. At sites with trees having ‘poor’ crown condition, even apparently healthy trees showed a lack of increase in calcium content with needle age, decreases in nitrogen content and very large decreases in magnesium content with needle age. The results show the importance of sampling several year classes of foliage from Norway spruce trees in determining the nutrient status of the tree. More... »

PAGES

211-224

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00225318

DOI

http://dx.doi.org/10.1007/bf00225318

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1053131611


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/2008/0607", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Plant Biology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institute of Terrestrial Ecology, Bush Estate, EH26 OQB, Penicuik, Midlothian, UK", 
          "id": "http://www.grid.ac/institutes/grid.494924.6", 
          "name": [
            "Institute of Terrestrial Ecology, Bush Estate, EH26 OQB, Penicuik, Midlothian, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cape", 
        "givenName": "J. Neil", 
        "id": "sg:person.01030061563.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030061563.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Forestry Commission, Alice Holt Lodge, GU10 4LH, Wrecclesham, Farnham, Surrey, UK", 
          "id": "http://www.grid.ac/institutes/grid.424497.8", 
          "name": [
            "Forestry Commission, Alice Holt Lodge, GU10 4LH, Wrecclesham, Farnham, Surrey, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Freer-Smith", 
        "givenName": "Peter H.", 
        "id": "sg:person.01127466151.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127466151.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Terrestrial Ecology, Hill of Brathens, AB3 4BY, Glassel, Banchory, Kincardineshire, UK", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Institute of Terrestrial Ecology, Hill of Brathens, AB3 4BY, Glassel, Banchory, Kincardineshire, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paterson", 
        "givenName": "Ian S.", 
        "id": "sg:person.01004041133.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004041133.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Terrestrial Ecology, LA11 6JU, Grange-over-Sands, Cumbria, UK", 
          "id": "http://www.grid.ac/institutes/grid.494924.6", 
          "name": [
            "Institute of Terrestrial Ecology, LA11 6JU, Grange-over-Sands, Cumbria, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Parkinson", 
        "givenName": "Jack A.", 
        "id": "sg:person.01310264352.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310264352.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Environmental and Biological Sciences, University of Lancaster, LA1 4YQ, Bailrigg, Lancaster, UK", 
          "id": "http://www.grid.ac/institutes/grid.9835.7", 
          "name": [
            "Institute of Environmental and Biological Sciences, University of Lancaster, LA1 4YQ, Bailrigg, Lancaster, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wolfenden", 
        "givenName": "Jennifer", 
        "id": "sg:person.015614354145.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015614354145.65"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-3-642-70874-9_13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024893860", 
          "https://doi.org/10.1007/978-3-642-70874-9_13"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02220187", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016658844", 
          "https://doi.org/10.1007/bf02220187"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00010371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010153121", 
          "https://doi.org/10.1007/bf00010371"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-61332-6_20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012936109", 
          "https://doi.org/10.1007/978-3-642-61332-6_20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00568385", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030552419", 
          "https://doi.org/10.1007/bf00568385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00379181", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018486485", 
          "https://doi.org/10.1007/bf00379181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00385250", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015485246", 
          "https://doi.org/10.1007/bf00385250"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00424595", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053494647", 
          "https://doi.org/10.1007/bf00424595"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01196345", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018658861", 
          "https://doi.org/10.1007/bf01196345"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00630863", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031833346", 
          "https://doi.org/10.1007/bf00630863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-61332-6_18", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041037459", 
          "https://doi.org/10.1007/978-3-642-61332-6_18"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1990-12", 
    "datePublishedReg": "1990-12-01", 
    "description": "During the summer of 1986, three year-classes of foliage were sampled from approximately 30-year-old Norway spruce [Picea abies (L.) Karst.] trees at 12 sites from S. W. Germany to N. Scotland. At sites in Germany, where trees were showing symptoms of \u2018decline\u2019, samples were taken from trees with \u2018good\u2019 crown condition and \u2018poor\u2019 crown conditon. The distinction between \u2018good\u2019 and \u2018poor\u2019 was made on the basis of international protocols for defining crown density and foliar discoloration. There was a wide range in nutrient content (percent dry weight) in apparently healthy trees. Current year foliage had ranges of mean values per site: S(0.07\u20130.13%), N(0.9\u20131.4%), K(0.5\u20130.9%), Ca(0.2\u20130.7%), and Mg (0.05\u20130.1%). Ranges were greater for 2-year-old foliage: S(0.09\u20130.18%), N(1.0\u20131.8%), K(0.4\u20130.7%), Ca(0.2\u20131.4%), and Mg(0.03\u20130.09%). At sites with trees having \u2018poor\u2019 crown condition, there were significantly smaller concentrations of Mg and Ca, and larger concentrations of K in 2-year-old foliage from \u2018poor\u2019 trees, compared with adjacent \u2018good\u2019 trees. Ratios of nutrient content were more significantly related to crown condition within sites than individual nutrients, especially in older needles. \u2018Poor\u2019 crowns were associated with larger ratios of N\u2236Mg, K\u2236Mg, S\u2236Mg, K\u2236Ca and smaller ratios of S\u2236K and N\u2236K. A \u2018risk index\u2019 is defined for trees showing no visible \u2018decline\u2019 symptoms, based upon nutrient content and nutrient ratios, which may be useful in identifying sites liable to experience deterioration in crown condition.With the exception of one German site, where few \u2018poor\u2019 trees were observed, the index increases from Scottish sites to English sites to Dutch sites to German sites. The index is empirical, and not necessarily related to potential effects of air pollution. The time dependence of foliar nutrient content may also be useful in diagnosis. At sites with trees having \u2018poor\u2019 crown condition, even apparently healthy trees showed a lack of increase in calcium content with needle age, decreases in nitrogen content and very large decreases in magnesium content with needle age. The results show the importance of sampling several year classes of foliage from Norway spruce trees in determining the nutrient status of the tree.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/bf00225318", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1023155", 
        "issn": [
          "0931-1890", 
          "1432-2285"
        ], 
        "name": "Trees", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "keywords": [
      "lack of increase", 
      "nutritional status", 
      "symptoms", 
      "individual nutrients", 
      "age", 
      "International Protocol", 
      "risk index", 
      "calcium content", 
      "status", 
      "mean value", 
      "potential effects", 
      "index", 
      "decline", 
      "diagnosis", 
      "large decrease", 
      "air pollution", 
      "sites", 
      "concentration", 
      "needle", 
      "deterioration", 
      "ratio", 
      "decrease", 
      "discoloration", 
      "magnesium content", 
      "protocol", 
      "lack", 
      "increase", 
      "effect", 
      "conditions", 
      "exception", 
      "German sites", 
      "samples", 
      "crowns", 
      "content", 
      "importance", 
      "Germany", 
      "results", 
      "implications", 
      "Scotland", 
      "English sites", 
      "wide range", 
      "range", 
      "large concentrations", 
      "basis", 
      "values", 
      "nutrients", 
      "small concentrations", 
      "foliar discoloration", 
      "year classes", 
      "distinction", 
      "Europe", 
      "conditons", 
      "Ca", 
      "healthy trees", 
      "class", 
      "nutrient content", 
      "small ratio", 
      "density", 
      "current year's foliage", 
      "Dutch sites", 
      "needle age", 
      "older needles", 
      "pollution", 
      "trees", 
      "Mg", 
      "Picea abies (L.) Karst", 
      "large ratio", 
      "crown condition", 
      "dependence", 
      "nutrient status", 
      "summer", 
      "Scottish sites", 
      "time dependence", 
      "foliage", 
      "Norway spruce trees", 
      "spruce trees", 
      "nutrient ratios", 
      "nitrogen content", 
      "karst", 
      "crown density", 
      "foliar nutrient content", 
      "forest decline", 
      "crown conditon", 
      "year foliage", 
      "abies (L.) Karst"
    ], 
    "name": "The nutritional status of Picea abies (L.) Karst. across Europe, and implications for \u2018forest decline\u2019", 
    "pagination": "211-224", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1053131611"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00225318"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00225318", 
      "https://app.dimensions.ai/details/publication/pub.1053131611"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:07", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_252.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/bf00225318"
  }
]
 

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/bf00225318'

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/bf00225318'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00225318'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00225318'


 

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

226 TRIPLES      22 PREDICATES      122 URIs      103 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00225318 schema:about anzsrc-for:06
2 anzsrc-for:0607
3 schema:author Nb22c7ad8563740af86818a39145b9cbe
4 schema:citation sg:pub.10.1007/978-3-642-61332-6_18
5 sg:pub.10.1007/978-3-642-61332-6_20
6 sg:pub.10.1007/978-3-642-70874-9_13
7 sg:pub.10.1007/bf00010371
8 sg:pub.10.1007/bf00379181
9 sg:pub.10.1007/bf00385250
10 sg:pub.10.1007/bf00424595
11 sg:pub.10.1007/bf00568385
12 sg:pub.10.1007/bf00630863
13 sg:pub.10.1007/bf01196345
14 sg:pub.10.1007/bf02220187
15 schema:datePublished 1990-12
16 schema:datePublishedReg 1990-12-01
17 schema:description During the summer of 1986, three year-classes of foliage were sampled from approximately 30-year-old Norway spruce [Picea abies (L.) Karst.] trees at 12 sites from S. W. Germany to N. Scotland. At sites in Germany, where trees were showing symptoms of ‘decline’, samples were taken from trees with ‘good’ crown condition and ‘poor’ crown conditon. The distinction between ‘good’ and ‘poor’ was made on the basis of international protocols for defining crown density and foliar discoloration. There was a wide range in nutrient content (percent dry weight) in apparently healthy trees. Current year foliage had ranges of mean values per site: S(0.07–0.13%), N(0.9–1.4%), K(0.5–0.9%), Ca(0.2–0.7%), and Mg (0.05–0.1%). Ranges were greater for 2-year-old foliage: S(0.09–0.18%), N(1.0–1.8%), K(0.4–0.7%), Ca(0.2–1.4%), and Mg(0.03–0.09%). At sites with trees having ‘poor’ crown condition, there were significantly smaller concentrations of Mg and Ca, and larger concentrations of K in 2-year-old foliage from ‘poor’ trees, compared with adjacent ‘good’ trees. Ratios of nutrient content were more significantly related to crown condition within sites than individual nutrients, especially in older needles. ‘Poor’ crowns were associated with larger ratios of N∶Mg, K∶Mg, S∶Mg, K∶Ca and smaller ratios of S∶K and N∶K. A ‘risk index’ is defined for trees showing no visible ‘decline’ symptoms, based upon nutrient content and nutrient ratios, which may be useful in identifying sites liable to experience deterioration in crown condition.With the exception of one German site, where few ‘poor’ trees were observed, the index increases from Scottish sites to English sites to Dutch sites to German sites. The index is empirical, and not necessarily related to potential effects of air pollution. The time dependence of foliar nutrient content may also be useful in diagnosis. At sites with trees having ‘poor’ crown condition, even apparently healthy trees showed a lack of increase in calcium content with needle age, decreases in nitrogen content and very large decreases in magnesium content with needle age. The results show the importance of sampling several year classes of foliage from Norway spruce trees in determining the nutrient status of the tree.
18 schema:genre article
19 schema:inLanguage en
20 schema:isAccessibleForFree false
21 schema:isPartOf N0fabae42abdb4e9c9e6af990f2affea1
22 N295e1d7d6b5e476d8dc822ebfcf8a932
23 sg:journal.1023155
24 schema:keywords Ca
25 Dutch sites
26 English sites
27 Europe
28 German sites
29 Germany
30 International Protocol
31 Mg
32 Norway spruce trees
33 Picea abies (L.) Karst
34 Scotland
35 Scottish sites
36 abies (L.) Karst
37 age
38 air pollution
39 basis
40 calcium content
41 class
42 concentration
43 conditions
44 conditons
45 content
46 crown condition
47 crown conditon
48 crown density
49 crowns
50 current year's foliage
51 decline
52 decrease
53 density
54 dependence
55 deterioration
56 diagnosis
57 discoloration
58 distinction
59 effect
60 exception
61 foliage
62 foliar discoloration
63 foliar nutrient content
64 forest decline
65 healthy trees
66 implications
67 importance
68 increase
69 index
70 individual nutrients
71 karst
72 lack
73 lack of increase
74 large concentrations
75 large decrease
76 large ratio
77 magnesium content
78 mean value
79 needle
80 needle age
81 nitrogen content
82 nutrient content
83 nutrient ratios
84 nutrient status
85 nutrients
86 nutritional status
87 older needles
88 pollution
89 potential effects
90 protocol
91 range
92 ratio
93 results
94 risk index
95 samples
96 sites
97 small concentrations
98 small ratio
99 spruce trees
100 status
101 summer
102 symptoms
103 time dependence
104 trees
105 values
106 wide range
107 year classes
108 year foliage
109 schema:name The nutritional status of Picea abies (L.) Karst. across Europe, and implications for ‘forest decline’
110 schema:pagination 211-224
111 schema:productId N0d2f10914ef545d982bf3d3fde0e7ab8
112 N31c4826a37be4e028913723acda02b1a
113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053131611
114 https://doi.org/10.1007/bf00225318
115 schema:sdDatePublished 2022-01-01T18:07
116 schema:sdLicense https://scigraph.springernature.com/explorer/license/
117 schema:sdPublisher N37358d2f38ad413cbe6b7438dadfdd79
118 schema:url https://doi.org/10.1007/bf00225318
119 sgo:license sg:explorer/license/
120 sgo:sdDataset articles
121 rdf:type schema:ScholarlyArticle
122 N0d2f10914ef545d982bf3d3fde0e7ab8 schema:name dimensions_id
123 schema:value pub.1053131611
124 rdf:type schema:PropertyValue
125 N0fabae42abdb4e9c9e6af990f2affea1 schema:issueNumber 4
126 rdf:type schema:PublicationIssue
127 N295e1d7d6b5e476d8dc822ebfcf8a932 schema:volumeNumber 4
128 rdf:type schema:PublicationVolume
129 N31c4826a37be4e028913723acda02b1a schema:name doi
130 schema:value 10.1007/bf00225318
131 rdf:type schema:PropertyValue
132 N37358d2f38ad413cbe6b7438dadfdd79 schema:name Springer Nature - SN SciGraph project
133 rdf:type schema:Organization
134 N602b1f0530e14c67a1b0e4e8b48d8aa4 rdf:first sg:person.01310264352.32
135 rdf:rest Nc65b6531925d426abbd309c8fb4fc4b2
136 N62b5b78889224bb2b5c200d9784eb614 rdf:first sg:person.01004041133.24
137 rdf:rest N602b1f0530e14c67a1b0e4e8b48d8aa4
138 Nabb5a326677c4532a19b599f38f11321 rdf:first sg:person.01127466151.31
139 rdf:rest N62b5b78889224bb2b5c200d9784eb614
140 Nb22c7ad8563740af86818a39145b9cbe rdf:first sg:person.01030061563.24
141 rdf:rest Nabb5a326677c4532a19b599f38f11321
142 Nc65b6531925d426abbd309c8fb4fc4b2 rdf:first sg:person.015614354145.65
143 rdf:rest rdf:nil
144 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
145 schema:name Biological Sciences
146 rdf:type schema:DefinedTerm
147 anzsrc-for:0607 schema:inDefinedTermSet anzsrc-for:
148 schema:name Plant Biology
149 rdf:type schema:DefinedTerm
150 sg:journal.1023155 schema:issn 0931-1890
151 1432-2285
152 schema:name Trees
153 schema:publisher Springer Nature
154 rdf:type schema:Periodical
155 sg:person.01004041133.24 schema:affiliation grid-institutes:None
156 schema:familyName Paterson
157 schema:givenName Ian S.
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004041133.24
159 rdf:type schema:Person
160 sg:person.01030061563.24 schema:affiliation grid-institutes:grid.494924.6
161 schema:familyName Cape
162 schema:givenName J. Neil
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030061563.24
164 rdf:type schema:Person
165 sg:person.01127466151.31 schema:affiliation grid-institutes:grid.424497.8
166 schema:familyName Freer-Smith
167 schema:givenName Peter H.
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127466151.31
169 rdf:type schema:Person
170 sg:person.01310264352.32 schema:affiliation grid-institutes:grid.494924.6
171 schema:familyName Parkinson
172 schema:givenName Jack A.
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310264352.32
174 rdf:type schema:Person
175 sg:person.015614354145.65 schema:affiliation grid-institutes:grid.9835.7
176 schema:familyName Wolfenden
177 schema:givenName Jennifer
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015614354145.65
179 rdf:type schema:Person
180 sg:pub.10.1007/978-3-642-61332-6_18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041037459
181 https://doi.org/10.1007/978-3-642-61332-6_18
182 rdf:type schema:CreativeWork
183 sg:pub.10.1007/978-3-642-61332-6_20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012936109
184 https://doi.org/10.1007/978-3-642-61332-6_20
185 rdf:type schema:CreativeWork
186 sg:pub.10.1007/978-3-642-70874-9_13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024893860
187 https://doi.org/10.1007/978-3-642-70874-9_13
188 rdf:type schema:CreativeWork
189 sg:pub.10.1007/bf00010371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010153121
190 https://doi.org/10.1007/bf00010371
191 rdf:type schema:CreativeWork
192 sg:pub.10.1007/bf00379181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018486485
193 https://doi.org/10.1007/bf00379181
194 rdf:type schema:CreativeWork
195 sg:pub.10.1007/bf00385250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015485246
196 https://doi.org/10.1007/bf00385250
197 rdf:type schema:CreativeWork
198 sg:pub.10.1007/bf00424595 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053494647
199 https://doi.org/10.1007/bf00424595
200 rdf:type schema:CreativeWork
201 sg:pub.10.1007/bf00568385 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030552419
202 https://doi.org/10.1007/bf00568385
203 rdf:type schema:CreativeWork
204 sg:pub.10.1007/bf00630863 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031833346
205 https://doi.org/10.1007/bf00630863
206 rdf:type schema:CreativeWork
207 sg:pub.10.1007/bf01196345 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018658861
208 https://doi.org/10.1007/bf01196345
209 rdf:type schema:CreativeWork
210 sg:pub.10.1007/bf02220187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016658844
211 https://doi.org/10.1007/bf02220187
212 rdf:type schema:CreativeWork
213 grid-institutes:None schema:alternateName Institute of Terrestrial Ecology, Hill of Brathens, AB3 4BY, Glassel, Banchory, Kincardineshire, UK
214 schema:name Institute of Terrestrial Ecology, Hill of Brathens, AB3 4BY, Glassel, Banchory, Kincardineshire, UK
215 rdf:type schema:Organization
216 grid-institutes:grid.424497.8 schema:alternateName Forestry Commission, Alice Holt Lodge, GU10 4LH, Wrecclesham, Farnham, Surrey, UK
217 schema:name Forestry Commission, Alice Holt Lodge, GU10 4LH, Wrecclesham, Farnham, Surrey, UK
218 rdf:type schema:Organization
219 grid-institutes:grid.494924.6 schema:alternateName Institute of Terrestrial Ecology, Bush Estate, EH26 OQB, Penicuik, Midlothian, UK
220 Institute of Terrestrial Ecology, LA11 6JU, Grange-over-Sands, Cumbria, UK
221 schema:name Institute of Terrestrial Ecology, Bush Estate, EH26 OQB, Penicuik, Midlothian, UK
222 Institute of Terrestrial Ecology, LA11 6JU, Grange-over-Sands, Cumbria, UK
223 rdf:type schema:Organization
224 grid-institutes:grid.9835.7 schema:alternateName Institute of Environmental and Biological Sciences, University of Lancaster, LA1 4YQ, Bailrigg, Lancaster, UK
225 schema:name Institute of Environmental and Biological Sciences, University of Lancaster, LA1 4YQ, Bailrigg, Lancaster, UK
226 rdf:type schema:Organization
 




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


...