Strong and recurring seasonality revealed within stream diatom assemblages View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

M. A. Snell, P. A. Barker, B. W. J. Surridge, C. McW. H. Benskin, N. Barber, S. M. Reaney, W. Tych, D. Mindham, A. R. G. Large, S. Burke, P. M. Haygarth

ABSTRACT

Improving stream water quality in agricultural landscapes is an ecological priority and a legislative duty for many governments. Ecosystem health can be effectively characterised by organisms sensitive to water quality changes such as diatoms, single-celled algae that are a ubiquitous component of stream benthos. Diatoms respond within daily timescales to variables including light, temperature, nutrient availability and flow conditions that result from weather and land use characteristics. However, little consideration has been given to the ecological dynamics of diatoms through repeated seasonal cycles when assessing trajectories of stream function, even in catchments actively managed to reduce human pressures. Here, six years of monthly diatom samples from three independent streams, each receiving differing levels of diffuse agricultural pollution, reveal robust and repeated seasonal variation. Predicted seasonal changes in climate-related variables and anticipated ecological impacts must be fully captured in future ecological and water quality assessments, if the apparent resistance of stream ecosystems to pollution mitigation measures is to be better understood. More... »

PAGES

3313

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-37831-w

DOI

http://dx.doi.org/10.1038/s41598-018-37831-w

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112475742

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30824739


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/2008/0602", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Ecology", 
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Agri Food and Biosciences Institute", 
          "id": "https://www.grid.ac/institutes/grid.423814.8", 
          "name": [
            "Lancaster Environment Centre, Lancaster University, LA1 4YQ, Lancaster, UK", 
            "Agri-Food and Biosciences Institute, Newforge Lane, BT9 5PQ, Belfast, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Snell", 
        "givenName": "M. A.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Lancaster University", 
          "id": "https://www.grid.ac/institutes/grid.9835.7", 
          "name": [
            "Lancaster Environment Centre, Lancaster University, LA1 4YQ, Lancaster, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Barker", 
        "givenName": "P. A.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Lancaster University", 
          "id": "https://www.grid.ac/institutes/grid.9835.7", 
          "name": [
            "Lancaster Environment Centre, Lancaster University, LA1 4YQ, Lancaster, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Surridge", 
        "givenName": "B. W. J.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Lancaster University", 
          "id": "https://www.grid.ac/institutes/grid.9835.7", 
          "name": [
            "Lancaster Environment Centre, Lancaster University, LA1 4YQ, Lancaster, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Benskin", 
        "givenName": "C. McW. H.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Durham University", 
          "id": "https://www.grid.ac/institutes/grid.8250.f", 
          "name": [
            "Department of Geography, Durham University, DH1 3LE, Durham, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Barber", 
        "givenName": "N.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Durham University", 
          "id": "https://www.grid.ac/institutes/grid.8250.f", 
          "name": [
            "Department of Geography, Durham University, DH1 3LE, Durham, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Reaney", 
        "givenName": "S. M.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Lancaster University", 
          "id": "https://www.grid.ac/institutes/grid.9835.7", 
          "name": [
            "Lancaster Environment Centre, Lancaster University, LA1 4YQ, Lancaster, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tych", 
        "givenName": "W.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Lancaster University", 
          "id": "https://www.grid.ac/institutes/grid.9835.7", 
          "name": [
            "Lancaster Environment Centre, Lancaster University, LA1 4YQ, Lancaster, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mindham", 
        "givenName": "D.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Newcastle University", 
          "id": "https://www.grid.ac/institutes/grid.1006.7", 
          "name": [
            "School of Geography, Politics and Sociology, Newcastle University, NE1 7RU, Newcastle upon Tyne, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Large", 
        "givenName": "A. R. G.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "British Geological Survey", 
          "id": "https://www.grid.ac/institutes/grid.474329.f", 
          "name": [
            "British Geological Survey, Environmental Science Centre, Nicker Hill, Keyworth, NG12 5GG, Nottingham, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Burke", 
        "givenName": "S.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Lancaster University", 
          "id": "https://www.grid.ac/institutes/grid.9835.7", 
          "name": [
            "Lancaster Environment Centre, Lancaster University, LA1 4YQ, Lancaster, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Haygarth", 
        "givenName": "P. M.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1752-1688.2007.00005.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000435075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5141/ecoenv.2013.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002509322"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2427.2007.01903.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007546107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1641/0006-3568(2004)054[0413:tndhhc]2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010795737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2015.12.086", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012136905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2015.12.086", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012136905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511763175.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012936374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-012668450-6/50037-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016080445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4319/lo.2001.46.2.0356", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020323643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10750-012-1128-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021612122", 
          "https://doi.org/10.1007/s10750-012-1128-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1475-4762.2012.01107.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021918965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2014.06.106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026239704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1641/0006-3568(2005)055[0196:mhstth]2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028300939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/gcb.13028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032308788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/0967026042000201858", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033467969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1752-1688.2007.00007.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033853345"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rstb.2010.0055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036007639"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep36950", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037558447", 
          "https://doi.org/10.1038/srep36950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2427.2009.02395.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042439882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2427.2009.02395.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042439882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2427.2010.02492.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042963819"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1099-131x(199911)18:6<369::aid-for748>3.0.co;2-k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043540066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00003802", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048297971", 
          "https://doi.org/10.1007/bf00003802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es405082t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050089179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10646-015-1566-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051820848", 
          "https://doi.org/10.1007/s10646-015-1566-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/kmae/2012018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057019300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-017-00232-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090882923", 
          "https://doi.org/10.1038/s41467-017-00232-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsoft.2018.02.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101746624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsoft.2018.02.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101746624"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Improving stream water quality in agricultural landscapes is an ecological priority and a legislative duty for many governments. Ecosystem health can be effectively characterised by organisms sensitive to water quality changes such as diatoms, single-celled algae that are a ubiquitous component of stream benthos. Diatoms respond within daily timescales to variables including light, temperature, nutrient availability and flow conditions that result from weather and land use characteristics. However, little consideration has been given to the ecological dynamics of diatoms through repeated seasonal cycles when assessing trajectories of stream function, even in catchments actively managed to reduce human pressures. Here, six years of monthly diatom samples from three independent streams, each receiving differing levels of diffuse agricultural pollution, reveal robust and repeated seasonal variation. Predicted seasonal changes in climate-related variables and anticipated ecological impacts must be fully captured in future ecological and water quality assessments, if the apparent resistance of stream ecosystems to pollution mitigation measures is to be better understood.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-37831-w", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Strong and recurring seasonality revealed within stream diatom assemblages", 
    "pagination": "3313", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f95c9a48f143b8672f3df720ab6a6c90078dfb3291a37d2080708a1604df33c4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30824739"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-37831-w"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112475742"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-37831-w", 
      "https://app.dimensions.ai/details/publication/pub.1112475742"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:17", 
    "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/v90/0000000354_0000000354/records_11692_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-37831-w"
  }
]
 

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.10.1038/s41598-018-37831-w'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-37831-w'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-37831-w'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-37831-w'


 

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

223 TRIPLES      21 PREDICATES      55 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-37831-w schema:about anzsrc-for:06
2 anzsrc-for:0602
3 schema:author Nab0481844a344e76abf2422a34bb2c9b
4 schema:citation sg:pub.10.1007/bf00003802
5 sg:pub.10.1007/s10646-015-1566-x
6 sg:pub.10.1007/s10750-012-1128-7
7 sg:pub.10.1038/s41467-017-00232-0
8 sg:pub.10.1038/srep36950
9 https://doi.org/10.1002/(sici)1099-131x(199911)18:6<369::aid-for748>3.0.co;2-k
10 https://doi.org/10.1016/b978-012668450-6/50037-0
11 https://doi.org/10.1016/j.envsoft.2018.02.015
12 https://doi.org/10.1016/j.scitotenv.2014.06.106
13 https://doi.org/10.1016/j.scitotenv.2015.12.086
14 https://doi.org/10.1017/cbo9780511763175.005
15 https://doi.org/10.1021/es405082t
16 https://doi.org/10.1051/kmae/2012018
17 https://doi.org/10.1080/0967026042000201858
18 https://doi.org/10.1098/rstb.2010.0055
19 https://doi.org/10.1111/gcb.13028
20 https://doi.org/10.1111/j.1365-2427.2007.01903.x
21 https://doi.org/10.1111/j.1365-2427.2009.02395.x
22 https://doi.org/10.1111/j.1365-2427.2010.02492.x
23 https://doi.org/10.1111/j.1475-4762.2012.01107.x
24 https://doi.org/10.1111/j.1752-1688.2007.00005.x
25 https://doi.org/10.1111/j.1752-1688.2007.00007.x
26 https://doi.org/10.1641/0006-3568(2004)054[0413:tndhhc]2.0.co;2
27 https://doi.org/10.1641/0006-3568(2005)055[0196:mhstth]2.0.co;2
28 https://doi.org/10.4319/lo.2001.46.2.0356
29 https://doi.org/10.5141/ecoenv.2013.011
30 schema:datePublished 2019-12
31 schema:datePublishedReg 2019-12-01
32 schema:description Improving stream water quality in agricultural landscapes is an ecological priority and a legislative duty for many governments. Ecosystem health can be effectively characterised by organisms sensitive to water quality changes such as diatoms, single-celled algae that are a ubiquitous component of stream benthos. Diatoms respond within daily timescales to variables including light, temperature, nutrient availability and flow conditions that result from weather and land use characteristics. However, little consideration has been given to the ecological dynamics of diatoms through repeated seasonal cycles when assessing trajectories of stream function, even in catchments actively managed to reduce human pressures. Here, six years of monthly diatom samples from three independent streams, each receiving differing levels of diffuse agricultural pollution, reveal robust and repeated seasonal variation. Predicted seasonal changes in climate-related variables and anticipated ecological impacts must be fully captured in future ecological and water quality assessments, if the apparent resistance of stream ecosystems to pollution mitigation measures is to be better understood.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree true
36 schema:isPartOf N264059c666174ad8839d7ad2a1cdcb91
37 N4827f2bd7da54e7b94feadd7fcd2d5db
38 sg:journal.1045337
39 schema:name Strong and recurring seasonality revealed within stream diatom assemblages
40 schema:pagination 3313
41 schema:productId N16cb362f72b549c4ab34cb3e6718a992
42 N28b15cfd8b2c490198f2ec399186f98a
43 N93c55ed23b6545afa09b9413fd11a955
44 Nb490162922204317aaf5c668cda7d0a8
45 Nf9516d98b48f4606aafffd266d939cb8
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112475742
47 https://doi.org/10.1038/s41598-018-37831-w
48 schema:sdDatePublished 2019-04-11T11:17
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher N5cdc383955974bb9b6ac8596b83ee713
51 schema:url https://www.nature.com/articles/s41598-018-37831-w
52 sgo:license sg:explorer/license/
53 sgo:sdDataset articles
54 rdf:type schema:ScholarlyArticle
55 N16cb362f72b549c4ab34cb3e6718a992 schema:name dimensions_id
56 schema:value pub.1112475742
57 rdf:type schema:PropertyValue
58 N237cd677e13543cca52cc1f93dc07d95 schema:affiliation https://www.grid.ac/institutes/grid.9835.7
59 schema:familyName Tych
60 schema:givenName W.
61 rdf:type schema:Person
62 N24071ec26fc04c538348db90aefa202c rdf:first Na34a4b074cdb42008679283f1333f54f
63 rdf:rest N49a79a7f80db4084b360b3325bc1f6ff
64 N264059c666174ad8839d7ad2a1cdcb91 schema:volumeNumber 9
65 rdf:type schema:PublicationVolume
66 N28b15cfd8b2c490198f2ec399186f98a schema:name pubmed_id
67 schema:value 30824739
68 rdf:type schema:PropertyValue
69 N2d9b21fe4e2849e8a892569c38f6f804 schema:affiliation https://www.grid.ac/institutes/grid.8250.f
70 schema:familyName Barber
71 schema:givenName N.
72 rdf:type schema:Person
73 N355ee1384a594a08adcebbfb0efe8e54 schema:affiliation https://www.grid.ac/institutes/grid.9835.7
74 schema:familyName Haygarth
75 schema:givenName P. M.
76 rdf:type schema:Person
77 N41c4866ef9f14d3c9e3a73dd0799beec rdf:first N2d9b21fe4e2849e8a892569c38f6f804
78 rdf:rest N6afdc5f28c7c4660af4ffbad34e89d80
79 N4827f2bd7da54e7b94feadd7fcd2d5db schema:issueNumber 1
80 rdf:type schema:PublicationIssue
81 N49a79a7f80db4084b360b3325bc1f6ff rdf:first Nb7f1fb0eb5ba4c9bb706564f9701f465
82 rdf:rest Nff3e43a87bde41eabe39395aeda1bf70
83 N5cdc383955974bb9b6ac8596b83ee713 schema:name Springer Nature - SN SciGraph project
84 rdf:type schema:Organization
85 N6af2081a19e24695b8ba3afa1bdce22f schema:affiliation https://www.grid.ac/institutes/grid.9835.7
86 schema:familyName Benskin
87 schema:givenName C. McW. H.
88 rdf:type schema:Person
89 N6afdc5f28c7c4660af4ffbad34e89d80 rdf:first Ncc5fe10e14e643038d8c39fc050441e5
90 rdf:rest Ndb27cc6e49024f59b715855f2b662b3a
91 N7790311f28ea4536a109a08720396c37 rdf:first N6af2081a19e24695b8ba3afa1bdce22f
92 rdf:rest N41c4866ef9f14d3c9e3a73dd0799beec
93 N93c55ed23b6545afa09b9413fd11a955 schema:name doi
94 schema:value 10.1038/s41598-018-37831-w
95 rdf:type schema:PropertyValue
96 N9d0ace4f09514c30aa0d1aff785a6f09 schema:affiliation https://www.grid.ac/institutes/grid.423814.8
97 schema:familyName Snell
98 schema:givenName M. A.
99 rdf:type schema:Person
100 Na34a4b074cdb42008679283f1333f54f schema:affiliation https://www.grid.ac/institutes/grid.9835.7
101 schema:familyName Mindham
102 schema:givenName D.
103 rdf:type schema:Person
104 Nab0481844a344e76abf2422a34bb2c9b rdf:first N9d0ace4f09514c30aa0d1aff785a6f09
105 rdf:rest Nfd3f6543ca7449b1aea9775e5d1ff006
106 Nadba4a6c342b44a0b0d54a5b9747eebc rdf:first Nebb65d49f87f42c490455a2a7b534dc2
107 rdf:rest N7790311f28ea4536a109a08720396c37
108 Nb490162922204317aaf5c668cda7d0a8 schema:name readcube_id
109 schema:value f95c9a48f143b8672f3df720ab6a6c90078dfb3291a37d2080708a1604df33c4
110 rdf:type schema:PropertyValue
111 Nb7f1fb0eb5ba4c9bb706564f9701f465 schema:affiliation https://www.grid.ac/institutes/grid.1006.7
112 schema:familyName Large
113 schema:givenName A. R. G.
114 rdf:type schema:Person
115 Ncb1772def4764c30a49742fc1667222a rdf:first N355ee1384a594a08adcebbfb0efe8e54
116 rdf:rest rdf:nil
117 Ncc5fe10e14e643038d8c39fc050441e5 schema:affiliation https://www.grid.ac/institutes/grid.8250.f
118 schema:familyName Reaney
119 schema:givenName S. M.
120 rdf:type schema:Person
121 Ndb27cc6e49024f59b715855f2b662b3a rdf:first N237cd677e13543cca52cc1f93dc07d95
122 rdf:rest N24071ec26fc04c538348db90aefa202c
123 Nea23cce41fc640918223088f7cdd5612 schema:affiliation https://www.grid.ac/institutes/grid.474329.f
124 schema:familyName Burke
125 schema:givenName S.
126 rdf:type schema:Person
127 Nebb65d49f87f42c490455a2a7b534dc2 schema:affiliation https://www.grid.ac/institutes/grid.9835.7
128 schema:familyName Surridge
129 schema:givenName B. W. J.
130 rdf:type schema:Person
131 Nf9516d98b48f4606aafffd266d939cb8 schema:name nlm_unique_id
132 schema:value 101563288
133 rdf:type schema:PropertyValue
134 Nfbdd757a2c564e628381ae9880970bf8 schema:affiliation https://www.grid.ac/institutes/grid.9835.7
135 schema:familyName Barker
136 schema:givenName P. A.
137 rdf:type schema:Person
138 Nfd3f6543ca7449b1aea9775e5d1ff006 rdf:first Nfbdd757a2c564e628381ae9880970bf8
139 rdf:rest Nadba4a6c342b44a0b0d54a5b9747eebc
140 Nff3e43a87bde41eabe39395aeda1bf70 rdf:first Nea23cce41fc640918223088f7cdd5612
141 rdf:rest Ncb1772def4764c30a49742fc1667222a
142 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
143 schema:name Biological Sciences
144 rdf:type schema:DefinedTerm
145 anzsrc-for:0602 schema:inDefinedTermSet anzsrc-for:
146 schema:name Ecology
147 rdf:type schema:DefinedTerm
148 sg:journal.1045337 schema:issn 2045-2322
149 schema:name Scientific Reports
150 rdf:type schema:Periodical
151 sg:pub.10.1007/bf00003802 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048297971
152 https://doi.org/10.1007/bf00003802
153 rdf:type schema:CreativeWork
154 sg:pub.10.1007/s10646-015-1566-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051820848
155 https://doi.org/10.1007/s10646-015-1566-x
156 rdf:type schema:CreativeWork
157 sg:pub.10.1007/s10750-012-1128-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021612122
158 https://doi.org/10.1007/s10750-012-1128-7
159 rdf:type schema:CreativeWork
160 sg:pub.10.1038/s41467-017-00232-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090882923
161 https://doi.org/10.1038/s41467-017-00232-0
162 rdf:type schema:CreativeWork
163 sg:pub.10.1038/srep36950 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037558447
164 https://doi.org/10.1038/srep36950
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1002/(sici)1099-131x(199911)18:6<369::aid-for748>3.0.co;2-k schema:sameAs https://app.dimensions.ai/details/publication/pub.1043540066
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/b978-012668450-6/50037-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016080445
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.envsoft.2018.02.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101746624
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.scitotenv.2014.06.106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026239704
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.scitotenv.2015.12.086 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012136905
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1017/cbo9780511763175.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012936374
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1021/es405082t schema:sameAs https://app.dimensions.ai/details/publication/pub.1050089179
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1051/kmae/2012018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057019300
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1080/0967026042000201858 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033467969
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1098/rstb.2010.0055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036007639
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1111/gcb.13028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032308788
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1111/j.1365-2427.2007.01903.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007546107
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1111/j.1365-2427.2009.02395.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1042439882
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1111/j.1365-2427.2010.02492.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1042963819
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1111/j.1475-4762.2012.01107.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021918965
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1111/j.1752-1688.2007.00005.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000435075
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1111/j.1752-1688.2007.00007.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1033853345
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1641/0006-3568(2004)054[0413:tndhhc]2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010795737
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1641/0006-3568(2005)055[0196:mhstth]2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028300939
203 rdf:type schema:CreativeWork
204 https://doi.org/10.4319/lo.2001.46.2.0356 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020323643
205 rdf:type schema:CreativeWork
206 https://doi.org/10.5141/ecoenv.2013.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002509322
207 rdf:type schema:CreativeWork
208 https://www.grid.ac/institutes/grid.1006.7 schema:alternateName Newcastle University
209 schema:name School of Geography, Politics and Sociology, Newcastle University, NE1 7RU, Newcastle upon Tyne, UK
210 rdf:type schema:Organization
211 https://www.grid.ac/institutes/grid.423814.8 schema:alternateName Agri Food and Biosciences Institute
212 schema:name Agri-Food and Biosciences Institute, Newforge Lane, BT9 5PQ, Belfast, UK
213 Lancaster Environment Centre, Lancaster University, LA1 4YQ, Lancaster, UK
214 rdf:type schema:Organization
215 https://www.grid.ac/institutes/grid.474329.f schema:alternateName British Geological Survey
216 schema:name British Geological Survey, Environmental Science Centre, Nicker Hill, Keyworth, NG12 5GG, Nottingham, UK
217 rdf:type schema:Organization
218 https://www.grid.ac/institutes/grid.8250.f schema:alternateName Durham University
219 schema:name Department of Geography, Durham University, DH1 3LE, Durham, UK
220 rdf:type schema:Organization
221 https://www.grid.ac/institutes/grid.9835.7 schema:alternateName Lancaster University
222 schema:name Lancaster Environment Centre, Lancaster University, LA1 4YQ, Lancaster, UK
223 rdf:type schema:Organization
 




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


...