Testing remotely-sensed predictors of meso-carnivore habitat use in Mediterranean ecosystems View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-10

AUTHORS

Maria J. Santos, Luis M. Rosalino, M. Santos-Reis, S. L. Ustin

ABSTRACT

The legacy of human use of Mediterranean ecosystems results in spatial and temporal heterogeneity of resources for wildlife. Understanding wildlife use of these ecosystems may be improved by including information on ecosystem type, structure, and function extracted from remote sensing data. To assess whether we can improve our understanding of wildlife-habitat use by including information on ecosystem type, structure and function. We tested whether remote sensing derived descriptors of ecosystem type, structure (tree cover and patch size) and function (productivity and stress) determine the habitat of stone martens (Martes foina), common genets (Genetta genetta), and European badgers (Meles meles) in southern Portugal. We linked radio-tracking data from five stone martens, five genets and eight badgers with aerial photography, and some spectra-selectivity to classify vegetation, its structure, productivity and drought stress. Statistically-derived generalized linear mixed regression models using combinations of remotely sensed descriptors of ecosystem type, structure and function, performed better than single ecosystem type descriptors. Inclusion of information on ecosystem functioning in predictive models of habitat use is more informative than ecosystem type alone, suggesting functional relationships between wildlife and their habitat. However, inclusion of both ecosystem type and function maybe limited to finer spatial resolutions. Our results illustrate the untapped potential of remote sensing to provide detailed descriptors of habitat at adequate spatial scales, now that they are freely available and are systematically collected over space and time. This information adds useful insights on wildlife-habitat relationships under changing patterns of land use and climate. More... »

PAGES

1763-1780

References to SciGraph publications

  • 2010-06. Stone marten (Martes foina) habitat in a Mediterranean ecosystem: effects of scale, sex, and interspecific interactions in EUROPEAN JOURNAL OF WILDLIFE RESEARCH
  • 2015-12. Opportunities for the application of advanced remotely-sensed data in ecological studies of terrestrial animal movement in MOVEMENT ECOLOGY
  • 2006-05. Applying Local Measures of Spatial Heterogeneity to Landsat-TM Images for Predicting Wildfire Occurrence in Mediterranean Landscapes in LANDSCAPE ECOLOGY
  • 1989-10. Spatial autocorrelation and sampling design in plant ecology in PLANT ECOLOGY
  • 2003-06. Food digestibility of an Eurasian badgerMeles meles with special reference to the Mediterranean region in MAMMAL RESEARCH
  • 2014-05. Modeling spatial distribution of European badger in arid landscapes: an ecosystem functioning approach in LANDSCAPE ECOLOGY
  • 2015-09. Coexistence of sympatric carnivores in relatively homogeneous Mediterranean landscapes: functional importance of habitat segregation at the fine-scale level in OECOLOGIA
  • 2011-12. pROC: an open-source package for R and S+ to analyze and compare ROC curves in BMC BIOINFORMATICS
  • 2005. Relationships between Stone Martens, Genets and Cork Oak Woodlands in Portugal in MARTENS AND FISHERS (MARTES) IN HUMAN-ALTERED ENVIRONMENTS
  • 2001-07. Relative value of riparian woodlands in landscapes with different forest cover for medium-sized Iberian carnivores in BIODIVERSITY AND CONSERVATION
  • 2009-02. Does riparian habitat condition influence mammalian carnivore abundance in Mediterranean ecosystems? in BIODIVERSITY AND CONSERVATION
  • 1983-09. Microhabitat heterogeneity and population ecology of an herbivorous rodent, Microtus californicus in OECOLOGIA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10980-016-0360-3

    DOI

    http://dx.doi.org/10.1007/s10980-016-0360-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1024835893


    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/2008/0502", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Environmental Science and Management", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/05", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Environmental Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of California, Davis", 
              "id": "https://www.grid.ac/institutes/grid.27860.3b", 
              "name": [
                "Department of Innovation, Environmental and Energy Sciences, Utrecht University, Heidelberglaan 2, 3572 TC, Utrecht, The Netherlands", 
                "Center for Spatial Technologies and Remote Sensing, Department of Land, Air and Water Resources, University of California Davis, One Shields Avenue, 95616, Davis, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Santos", 
            "givenName": "Maria J.", 
            "id": "sg:person.0601776407.24", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0601776407.24"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Lisbon", 
              "id": "https://www.grid.ac/institutes/grid.9983.b", 
              "name": [
                "CESAM & Departmento de Biologia, Universidade de Aveiro, Campus Universit\u00e1rio de Santiago, 3810-193, Aveiro, Portugal", 
                "Centre for Ecology, Evolution and Environmental Change (cE3c), Faculdade de Ci\u00eancias, Universidade de Lisboa, 1749-016, Lisbon, Portugal"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rosalino", 
            "givenName": "Luis M.", 
            "id": "sg:person.01233305266.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233305266.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Lisbon", 
              "id": "https://www.grid.ac/institutes/grid.9983.b", 
              "name": [
                "Centre for Ecology, Evolution and Environmental Change (cE3c), Faculdade de Ci\u00eancias, Universidade de Lisboa, 1749-016, Lisbon, Portugal"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Santos-Reis", 
            "givenName": "M.", 
            "id": "sg:person.0611500607.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611500607.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of California, Davis", 
              "id": "https://www.grid.ac/institutes/grid.27860.3b", 
              "name": [
                "Center for Spatial Technologies and Remote Sensing, Department of Land, Air and Water Resources, University of California Davis, One Shields Avenue, 95616, Davis, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ustin", 
            "givenName": "S. L.", 
            "id": "sg:person.011003102044.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011003102044.31"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.tree.2005.05.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000358676"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tree.2005.05.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000358676"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0034-4257(95)00193-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000734517"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.2006.0906-7590.04596.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000878166"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.0021-8901.2004.00903.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001967541"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.0030-1299.2005.13755.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002260763"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.0030-1299.2005.13755.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002260763"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0952836902001449", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002472959"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1515/mamm.2005.031", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002947931"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0167-5877(01)00230-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003231383"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecolmodel.2006.05.017", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004577317"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1890/1051-0761(2002)012[1469:rbaosh]2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005202329"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0169-2046(93)90076-p", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005327005"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0720-048x(97)00157-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005743837"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.mambio.2007.02.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005801654"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.foreco.2005.10.056", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006258059"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0304-3800(00)00354-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008451757"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/z04-130", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008565808"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10344-009-0317-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008754302", 
              "https://doi.org/10.1007/s10344-009-0317-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10344-009-0317-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008754302", 
              "https://doi.org/10.1007/s10344-009-0317-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00031693", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009083696", 
              "https://doi.org/10.1007/bf00031693"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00031693", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009083696", 
              "https://doi.org/10.1007/bf00031693"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf03194168", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009533407", 
              "https://doi.org/10.1007/bf03194168"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf03194168", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009533407", 
              "https://doi.org/10.1007/bf03194168"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0304-3800(95)00192-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009997882"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2907.2008.00134.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012401800"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1366-9516.2006.00241.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012968780"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00442-015-3311-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013974837", 
              "https://doi.org/10.1007/s00442-015-3311-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.rse.2006.11.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014277512"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-12-77", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014582441", 
              "https://doi.org/10.1186/1471-2105-12-77"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-12-77", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014582441", 
              "https://doi.org/10.1186/1471-2105-12-77"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0169-5347(03)00070-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016314936"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0169-5347(03)00070-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016314936"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/1941270", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016837273"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00378834", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016864275", 
              "https://doi.org/10.1007/bf00378834"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.2007.0906-7590.05236.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016981530"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/1942049", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017025506"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.biocon.2006.07.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017404819"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0034-4257(96)00112-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017802574"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0034-4257(79)90013-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018726315"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0034-4257(79)90013-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018726315"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tree.2009.05.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020031671"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.rse.2012.01.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020770587"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1461-0248.2005.00792.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020875241"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1461-0248.2005.00792.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020875241"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2907.2007.00103.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021135836"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2907.2007.00103.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021135836"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/01431169408954231", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021230588"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecolmodel.2003.10.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022166223"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1023139038", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1023139038", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0034-4257(89)90046-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023427741"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0034-4257(89)90046-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023427741"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1117/12.2066842", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025012782"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0006-3207(02)00156-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025073995"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/treephys/15.3.203", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025590270"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1523-1739.2001.99431.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026256146"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1078/1616-5047-00172", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027389934"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10980-014-0020-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029377720", 
              "https://doi.org/10.1007/s10980-014-0020-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0006-3207(00)00043-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029406076"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40462-015-0036-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029588401", 
              "https://doi.org/10.1186/s40462-015-0036-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40462-015-0036-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029588401", 
              "https://doi.org/10.1186/s40462-015-0036-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/01431160050110214", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029904321"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1029998034", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1029998034", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1890/07-0364.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030203572"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0034-4257(02)00096-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031931019"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1016684428664", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032135430", 
              "https://doi.org/10.1023/a:1016684428664"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/01431160512331338041", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032617207"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/01431160512331338041", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032617207"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.rse.2003.10.021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033610519"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/01431169308953986", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034176421"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2486.2012.02784.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034189388"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1461-0248.2000.00143.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034206227"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1515/mamm.2002.66.2.195", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035093627"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1890/06-1870.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035316989"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1600-0587.2013.00236.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035337836"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1034/j.1399-3054.1999.106119.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035964866"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10531-008-9493-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036516701", 
              "https://doi.org/10.1007/s10531-008-9493-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10531-008-9493-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036516701", 
              "https://doi.org/10.1007/s10531-008-9493-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2664.2010.01804.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036676345"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2664.2010.01804.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036676345"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0169-5347(03)00071-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037330030"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0169-5347(03)00071-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037330030"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.foreco.2013.12.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038104995"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1365-2664.2001.00647.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039407635"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1071/wr08009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040375470"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1366-9516.2006.00243.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040616336"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.py.24.090186.001405", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040624388"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0034-4257(02)00079-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041367576"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/0-387-22691-5_7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041507869", 
              "https://doi.org/10.1007/0-387-22691-5_7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/b978-0-12-233440-5.50028-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042121920"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1641/0006-3568(2004)054[0511:hsrrsd]2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043710165"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecolmodel.2006.05.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048217860"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1365-2907.1998.00027.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050193191"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10980-005-4119-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050571655", 
              "https://doi.org/10.1007/s10980-005-4119-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/01431169308954010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051077999"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btg412", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051607942"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1146-609x(02)01142-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052097682"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0034-4257(01)00191-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053639055"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0376892910000238", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053914334"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0266467400008713", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053959252"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/0143116031000115300", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058294355"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/667590", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058851699"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/biomet/37.1-2.17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059416116"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/biomet/76.2.385", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059419936"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tgrs.1984.350619", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061607963"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.269.5222.331", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062550553"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1644/10-mamm-a-009.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068177153"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2108/zsj.24.978", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068910172"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/1310340", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069432697"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/1938423", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069662335"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/1938526", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069662434"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/1939170", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069663036"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2980/i1195-6860-12-1-68.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1070952262"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2981/07-046", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1070952331"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3354/cr00936", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071158720"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4098/at.arch.99-15", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072214424"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/igarss.2002.1025776", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095444122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1109491887", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1109491887", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-10", 
        "datePublishedReg": "2016-10-01", 
        "description": "The legacy of human use of Mediterranean ecosystems results in spatial and temporal heterogeneity of resources for wildlife. Understanding wildlife use of these ecosystems may be improved by including information on ecosystem type, structure, and function extracted from remote sensing data. To assess whether we can improve our understanding of wildlife-habitat use by including information on ecosystem type, structure and function. We tested whether remote sensing derived descriptors of ecosystem type, structure (tree cover and patch size) and function (productivity and stress) determine the habitat of stone martens (Martes foina), common genets (Genetta genetta), and European badgers (Meles meles) in southern Portugal. We linked radio-tracking data from five stone martens, five genets and eight badgers with aerial photography, and some spectra-selectivity to classify vegetation, its structure, productivity and drought stress. Statistically-derived generalized linear mixed regression models using combinations of remotely sensed descriptors of ecosystem type, structure and function, performed better than single ecosystem type descriptors. Inclusion of information on ecosystem functioning in predictive models of habitat use is more informative than ecosystem type alone, suggesting functional relationships between wildlife and their habitat. However, inclusion of both ecosystem type and function maybe limited to finer spatial resolutions. Our results illustrate the untapped potential of remote sensing to provide detailed descriptors of habitat at adequate spatial scales, now that they are freely available and are systematically collected over space and time. This information adds useful insights on wildlife-habitat relationships under changing patterns of land use and climate.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10980-016-0360-3", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3748113", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1043738", 
            "issn": [
              "0921-2973", 
              "1572-9761"
            ], 
            "name": "Landscape Ecology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "8", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "31"
          }
        ], 
        "name": "Testing remotely-sensed predictors of meso-carnivore habitat use in Mediterranean ecosystems", 
        "pagination": "1763-1780", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "76518b8b462ccc8ffcb36ae302188b47cad198fd727f238cb0987b79d9de8567"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10980-016-0360-3"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1024835893"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10980-016-0360-3", 
          "https://app.dimensions.ai/details/publication/pub.1024835893"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T13:11", 
        "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/v90/0000000367_0000000367/records_88251_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs10980-016-0360-3"
      }
    ]
     

    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/s10980-016-0360-3'

    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/s10980-016-0360-3'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10980-016-0360-3'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10980-016-0360-3'


     

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

    404 TRIPLES      21 PREDICATES      129 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10980-016-0360-3 schema:about anzsrc-for:05
    2 anzsrc-for:0502
    3 schema:author N9a1fc55ab50a42d38322eeb571bf46a8
    4 schema:citation sg:pub.10.1007/0-387-22691-5_7
    5 sg:pub.10.1007/bf00031693
    6 sg:pub.10.1007/bf00378834
    7 sg:pub.10.1007/bf03194168
    8 sg:pub.10.1007/s00442-015-3311-9
    9 sg:pub.10.1007/s10344-009-0317-9
    10 sg:pub.10.1007/s10531-008-9493-2
    11 sg:pub.10.1007/s10980-005-4119-5
    12 sg:pub.10.1007/s10980-014-0020-4
    13 sg:pub.10.1023/a:1016684428664
    14 sg:pub.10.1186/1471-2105-12-77
    15 sg:pub.10.1186/s40462-015-0036-7
    16 https://app.dimensions.ai/details/publication/pub.1023139038
    17 https://app.dimensions.ai/details/publication/pub.1029998034
    18 https://app.dimensions.ai/details/publication/pub.1109491887
    19 https://doi.org/10.1016/0034-4257(79)90013-0
    20 https://doi.org/10.1016/0034-4257(89)90046-1
    21 https://doi.org/10.1016/0034-4257(95)00193-x
    22 https://doi.org/10.1016/0169-2046(93)90076-p
    23 https://doi.org/10.1016/0304-3800(95)00192-1
    24 https://doi.org/10.1016/b978-0-12-233440-5.50028-2
    25 https://doi.org/10.1016/j.biocon.2006.07.003
    26 https://doi.org/10.1016/j.ecolmodel.2003.10.011
    27 https://doi.org/10.1016/j.ecolmodel.2006.05.015
    28 https://doi.org/10.1016/j.ecolmodel.2006.05.017
    29 https://doi.org/10.1016/j.foreco.2005.10.056
    30 https://doi.org/10.1016/j.foreco.2013.12.013
    31 https://doi.org/10.1016/j.mambio.2007.02.004
    32 https://doi.org/10.1016/j.rse.2003.10.021
    33 https://doi.org/10.1016/j.rse.2006.11.016
    34 https://doi.org/10.1016/j.rse.2012.01.009
    35 https://doi.org/10.1016/j.tree.2005.05.011
    36 https://doi.org/10.1016/j.tree.2009.05.009
    37 https://doi.org/10.1016/s0006-3207(00)00043-4
    38 https://doi.org/10.1016/s0006-3207(02)00156-8
    39 https://doi.org/10.1016/s0034-4257(01)00191-2
    40 https://doi.org/10.1016/s0034-4257(02)00079-2
    41 https://doi.org/10.1016/s0034-4257(02)00096-2
    42 https://doi.org/10.1016/s0034-4257(96)00112-5
    43 https://doi.org/10.1016/s0167-5877(01)00230-6
    44 https://doi.org/10.1016/s0169-5347(03)00070-3
    45 https://doi.org/10.1016/s0169-5347(03)00071-5
    46 https://doi.org/10.1016/s0304-3800(00)00354-9
    47 https://doi.org/10.1016/s0720-048x(97)00157-5
    48 https://doi.org/10.1016/s1146-609x(02)01142-6
    49 https://doi.org/10.1017/s0266467400008713
    50 https://doi.org/10.1017/s0376892910000238
    51 https://doi.org/10.1017/s0952836902001449
    52 https://doi.org/10.1034/j.1399-3054.1999.106119.x
    53 https://doi.org/10.1046/j.1365-2664.2001.00647.x
    54 https://doi.org/10.1046/j.1365-2907.1998.00027.x
    55 https://doi.org/10.1046/j.1461-0248.2000.00143.x
    56 https://doi.org/10.1071/wr08009
    57 https://doi.org/10.1078/1616-5047-00172
    58 https://doi.org/10.1080/01431160050110214
    59 https://doi.org/10.1080/0143116031000115300
    60 https://doi.org/10.1080/01431160512331338041
    61 https://doi.org/10.1080/01431169308953986
    62 https://doi.org/10.1080/01431169308954010
    63 https://doi.org/10.1080/01431169408954231
    64 https://doi.org/10.1086/667590
    65 https://doi.org/10.1093/bioinformatics/btg412
    66 https://doi.org/10.1093/biomet/37.1-2.17
    67 https://doi.org/10.1093/biomet/76.2.385
    68 https://doi.org/10.1093/treephys/15.3.203
    69 https://doi.org/10.1109/igarss.2002.1025776
    70 https://doi.org/10.1109/tgrs.1984.350619
    71 https://doi.org/10.1111/j.0021-8901.2004.00903.x
    72 https://doi.org/10.1111/j.0030-1299.2005.13755.x
    73 https://doi.org/10.1111/j.1365-2486.2012.02784.x
    74 https://doi.org/10.1111/j.1365-2664.2010.01804.x
    75 https://doi.org/10.1111/j.1365-2907.2007.00103.x
    76 https://doi.org/10.1111/j.1365-2907.2008.00134.x
    77 https://doi.org/10.1111/j.1366-9516.2006.00241.x
    78 https://doi.org/10.1111/j.1366-9516.2006.00243.x
    79 https://doi.org/10.1111/j.1461-0248.2005.00792.x
    80 https://doi.org/10.1111/j.1523-1739.2001.99431.x
    81 https://doi.org/10.1111/j.1600-0587.2013.00236.x
    82 https://doi.org/10.1111/j.2006.0906-7590.04596.x
    83 https://doi.org/10.1111/j.2007.0906-7590.05236.x
    84 https://doi.org/10.1117/12.2066842
    85 https://doi.org/10.1126/science.269.5222.331
    86 https://doi.org/10.1139/z04-130
    87 https://doi.org/10.1146/annurev.py.24.090186.001405
    88 https://doi.org/10.1515/mamm.2002.66.2.195
    89 https://doi.org/10.1515/mamm.2005.031
    90 https://doi.org/10.1641/0006-3568(2004)054[0511:hsrrsd]2.0.co;2
    91 https://doi.org/10.1644/10-mamm-a-009.1
    92 https://doi.org/10.1890/06-1870.1
    93 https://doi.org/10.1890/07-0364.1
    94 https://doi.org/10.1890/1051-0761(2002)012[1469:rbaosh]2.0.co;2
    95 https://doi.org/10.2108/zsj.24.978
    96 https://doi.org/10.2307/1310340
    97 https://doi.org/10.2307/1938423
    98 https://doi.org/10.2307/1938526
    99 https://doi.org/10.2307/1939170
    100 https://doi.org/10.2307/1941270
    101 https://doi.org/10.2307/1942049
    102 https://doi.org/10.2980/i1195-6860-12-1-68.1
    103 https://doi.org/10.2981/07-046
    104 https://doi.org/10.3354/cr00936
    105 https://doi.org/10.4098/at.arch.99-15
    106 schema:datePublished 2016-10
    107 schema:datePublishedReg 2016-10-01
    108 schema:description The legacy of human use of Mediterranean ecosystems results in spatial and temporal heterogeneity of resources for wildlife. Understanding wildlife use of these ecosystems may be improved by including information on ecosystem type, structure, and function extracted from remote sensing data. To assess whether we can improve our understanding of wildlife-habitat use by including information on ecosystem type, structure and function. We tested whether remote sensing derived descriptors of ecosystem type, structure (tree cover and patch size) and function (productivity and stress) determine the habitat of stone martens (Martes foina), common genets (Genetta genetta), and European badgers (Meles meles) in southern Portugal. We linked radio-tracking data from five stone martens, five genets and eight badgers with aerial photography, and some spectra-selectivity to classify vegetation, its structure, productivity and drought stress. Statistically-derived generalized linear mixed regression models using combinations of remotely sensed descriptors of ecosystem type, structure and function, performed better than single ecosystem type descriptors. Inclusion of information on ecosystem functioning in predictive models of habitat use is more informative than ecosystem type alone, suggesting functional relationships between wildlife and their habitat. However, inclusion of both ecosystem type and function maybe limited to finer spatial resolutions. Our results illustrate the untapped potential of remote sensing to provide detailed descriptors of habitat at adequate spatial scales, now that they are freely available and are systematically collected over space and time. This information adds useful insights on wildlife-habitat relationships under changing patterns of land use and climate.
    109 schema:genre research_article
    110 schema:inLanguage en
    111 schema:isAccessibleForFree true
    112 schema:isPartOf Nda74e9b89b4e45fb93affaa32c894b63
    113 Nf739f657528d456eb87fe2e86f7927bf
    114 sg:journal.1043738
    115 schema:name Testing remotely-sensed predictors of meso-carnivore habitat use in Mediterranean ecosystems
    116 schema:pagination 1763-1780
    117 schema:productId N9df23bd43de84f9bb2f94f1113c5b7da
    118 Na6f3feda48d547efa49a2b7452749ed0
    119 Nba53b7b2e6b14657bce581c08c8c4687
    120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024835893
    121 https://doi.org/10.1007/s10980-016-0360-3
    122 schema:sdDatePublished 2019-04-11T13:11
    123 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    124 schema:sdPublisher N976cf78ceda4434fa03f478c4002776a
    125 schema:url http://link.springer.com/10.1007%2Fs10980-016-0360-3
    126 sgo:license sg:explorer/license/
    127 sgo:sdDataset articles
    128 rdf:type schema:ScholarlyArticle
    129 N976cf78ceda4434fa03f478c4002776a schema:name Springer Nature - SN SciGraph project
    130 rdf:type schema:Organization
    131 N9a1fc55ab50a42d38322eeb571bf46a8 rdf:first sg:person.0601776407.24
    132 rdf:rest Nf743244764924547836e8e71dadd1b58
    133 N9df23bd43de84f9bb2f94f1113c5b7da schema:name dimensions_id
    134 schema:value pub.1024835893
    135 rdf:type schema:PropertyValue
    136 Na6f3feda48d547efa49a2b7452749ed0 schema:name doi
    137 schema:value 10.1007/s10980-016-0360-3
    138 rdf:type schema:PropertyValue
    139 Nba53b7b2e6b14657bce581c08c8c4687 schema:name readcube_id
    140 schema:value 76518b8b462ccc8ffcb36ae302188b47cad198fd727f238cb0987b79d9de8567
    141 rdf:type schema:PropertyValue
    142 Nc3a6bd3880d24ed99758d116cebfb36a rdf:first sg:person.0611500607.46
    143 rdf:rest Ncce7d5ccea5249fe90424656cc6a49cc
    144 Ncce7d5ccea5249fe90424656cc6a49cc rdf:first sg:person.011003102044.31
    145 rdf:rest rdf:nil
    146 Nda74e9b89b4e45fb93affaa32c894b63 schema:issueNumber 8
    147 rdf:type schema:PublicationIssue
    148 Nf739f657528d456eb87fe2e86f7927bf schema:volumeNumber 31
    149 rdf:type schema:PublicationVolume
    150 Nf743244764924547836e8e71dadd1b58 rdf:first sg:person.01233305266.31
    151 rdf:rest Nc3a6bd3880d24ed99758d116cebfb36a
    152 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
    153 schema:name Environmental Sciences
    154 rdf:type schema:DefinedTerm
    155 anzsrc-for:0502 schema:inDefinedTermSet anzsrc-for:
    156 schema:name Environmental Science and Management
    157 rdf:type schema:DefinedTerm
    158 sg:grant.3748113 http://pending.schema.org/fundedItem sg:pub.10.1007/s10980-016-0360-3
    159 rdf:type schema:MonetaryGrant
    160 sg:journal.1043738 schema:issn 0921-2973
    161 1572-9761
    162 schema:name Landscape Ecology
    163 rdf:type schema:Periodical
    164 sg:person.011003102044.31 schema:affiliation https://www.grid.ac/institutes/grid.27860.3b
    165 schema:familyName Ustin
    166 schema:givenName S. L.
    167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011003102044.31
    168 rdf:type schema:Person
    169 sg:person.01233305266.31 schema:affiliation https://www.grid.ac/institutes/grid.9983.b
    170 schema:familyName Rosalino
    171 schema:givenName Luis M.
    172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233305266.31
    173 rdf:type schema:Person
    174 sg:person.0601776407.24 schema:affiliation https://www.grid.ac/institutes/grid.27860.3b
    175 schema:familyName Santos
    176 schema:givenName Maria J.
    177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0601776407.24
    178 rdf:type schema:Person
    179 sg:person.0611500607.46 schema:affiliation https://www.grid.ac/institutes/grid.9983.b
    180 schema:familyName Santos-Reis
    181 schema:givenName M.
    182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611500607.46
    183 rdf:type schema:Person
    184 sg:pub.10.1007/0-387-22691-5_7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041507869
    185 https://doi.org/10.1007/0-387-22691-5_7
    186 rdf:type schema:CreativeWork
    187 sg:pub.10.1007/bf00031693 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009083696
    188 https://doi.org/10.1007/bf00031693
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1007/bf00378834 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016864275
    191 https://doi.org/10.1007/bf00378834
    192 rdf:type schema:CreativeWork
    193 sg:pub.10.1007/bf03194168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009533407
    194 https://doi.org/10.1007/bf03194168
    195 rdf:type schema:CreativeWork
    196 sg:pub.10.1007/s00442-015-3311-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013974837
    197 https://doi.org/10.1007/s00442-015-3311-9
    198 rdf:type schema:CreativeWork
    199 sg:pub.10.1007/s10344-009-0317-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008754302
    200 https://doi.org/10.1007/s10344-009-0317-9
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1007/s10531-008-9493-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036516701
    203 https://doi.org/10.1007/s10531-008-9493-2
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1007/s10980-005-4119-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050571655
    206 https://doi.org/10.1007/s10980-005-4119-5
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1007/s10980-014-0020-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029377720
    209 https://doi.org/10.1007/s10980-014-0020-4
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1023/a:1016684428664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032135430
    212 https://doi.org/10.1023/a:1016684428664
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1186/1471-2105-12-77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014582441
    215 https://doi.org/10.1186/1471-2105-12-77
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1186/s40462-015-0036-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029588401
    218 https://doi.org/10.1186/s40462-015-0036-7
    219 rdf:type schema:CreativeWork
    220 https://app.dimensions.ai/details/publication/pub.1023139038 schema:CreativeWork
    221 https://app.dimensions.ai/details/publication/pub.1029998034 schema:CreativeWork
    222 https://app.dimensions.ai/details/publication/pub.1109491887 schema:CreativeWork
    223 https://doi.org/10.1016/0034-4257(79)90013-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018726315
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.1016/0034-4257(89)90046-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023427741
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.1016/0034-4257(95)00193-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000734517
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.1016/0169-2046(93)90076-p schema:sameAs https://app.dimensions.ai/details/publication/pub.1005327005
    230 rdf:type schema:CreativeWork
    231 https://doi.org/10.1016/0304-3800(95)00192-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009997882
    232 rdf:type schema:CreativeWork
    233 https://doi.org/10.1016/b978-0-12-233440-5.50028-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042121920
    234 rdf:type schema:CreativeWork
    235 https://doi.org/10.1016/j.biocon.2006.07.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017404819
    236 rdf:type schema:CreativeWork
    237 https://doi.org/10.1016/j.ecolmodel.2003.10.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022166223
    238 rdf:type schema:CreativeWork
    239 https://doi.org/10.1016/j.ecolmodel.2006.05.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048217860
    240 rdf:type schema:CreativeWork
    241 https://doi.org/10.1016/j.ecolmodel.2006.05.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004577317
    242 rdf:type schema:CreativeWork
    243 https://doi.org/10.1016/j.foreco.2005.10.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006258059
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.1016/j.foreco.2013.12.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038104995
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1016/j.mambio.2007.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005801654
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1016/j.rse.2003.10.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033610519
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.1016/j.rse.2006.11.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014277512
    252 rdf:type schema:CreativeWork
    253 https://doi.org/10.1016/j.rse.2012.01.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020770587
    254 rdf:type schema:CreativeWork
    255 https://doi.org/10.1016/j.tree.2005.05.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000358676
    256 rdf:type schema:CreativeWork
    257 https://doi.org/10.1016/j.tree.2009.05.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020031671
    258 rdf:type schema:CreativeWork
    259 https://doi.org/10.1016/s0006-3207(00)00043-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029406076
    260 rdf:type schema:CreativeWork
    261 https://doi.org/10.1016/s0006-3207(02)00156-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025073995
    262 rdf:type schema:CreativeWork
    263 https://doi.org/10.1016/s0034-4257(01)00191-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053639055
    264 rdf:type schema:CreativeWork
    265 https://doi.org/10.1016/s0034-4257(02)00079-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041367576
    266 rdf:type schema:CreativeWork
    267 https://doi.org/10.1016/s0034-4257(02)00096-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031931019
    268 rdf:type schema:CreativeWork
    269 https://doi.org/10.1016/s0034-4257(96)00112-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017802574
    270 rdf:type schema:CreativeWork
    271 https://doi.org/10.1016/s0167-5877(01)00230-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003231383
    272 rdf:type schema:CreativeWork
    273 https://doi.org/10.1016/s0169-5347(03)00070-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016314936
    274 rdf:type schema:CreativeWork
    275 https://doi.org/10.1016/s0169-5347(03)00071-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037330030
    276 rdf:type schema:CreativeWork
    277 https://doi.org/10.1016/s0304-3800(00)00354-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008451757
    278 rdf:type schema:CreativeWork
    279 https://doi.org/10.1016/s0720-048x(97)00157-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005743837
    280 rdf:type schema:CreativeWork
    281 https://doi.org/10.1016/s1146-609x(02)01142-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052097682
    282 rdf:type schema:CreativeWork
    283 https://doi.org/10.1017/s0266467400008713 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053959252
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.1017/s0376892910000238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053914334
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.1017/s0952836902001449 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002472959
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1034/j.1399-3054.1999.106119.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035964866
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.1046/j.1365-2664.2001.00647.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039407635
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.1046/j.1365-2907.1998.00027.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050193191
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.1046/j.1461-0248.2000.00143.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034206227
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.1071/wr08009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040375470
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.1078/1616-5047-00172 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027389934
    300 rdf:type schema:CreativeWork
    301 https://doi.org/10.1080/01431160050110214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029904321
    302 rdf:type schema:CreativeWork
    303 https://doi.org/10.1080/0143116031000115300 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058294355
    304 rdf:type schema:CreativeWork
    305 https://doi.org/10.1080/01431160512331338041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032617207
    306 rdf:type schema:CreativeWork
    307 https://doi.org/10.1080/01431169308953986 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034176421
    308 rdf:type schema:CreativeWork
    309 https://doi.org/10.1080/01431169308954010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051077999
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1080/01431169408954231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021230588
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.1086/667590 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058851699
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.1093/bioinformatics/btg412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051607942
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.1093/biomet/37.1-2.17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059416116
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1093/biomet/76.2.385 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059419936
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1093/treephys/15.3.203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025590270
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1109/igarss.2002.1025776 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095444122
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1109/tgrs.1984.350619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061607963
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.1111/j.0021-8901.2004.00903.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001967541
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1111/j.0030-1299.2005.13755.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002260763
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1111/j.1365-2486.2012.02784.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034189388
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1111/j.1365-2664.2010.01804.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1036676345
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1111/j.1365-2907.2007.00103.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021135836
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1111/j.1365-2907.2008.00134.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012401800
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1111/j.1366-9516.2006.00241.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012968780
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1111/j.1366-9516.2006.00243.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1040616336
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1111/j.1461-0248.2005.00792.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020875241
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1111/j.1523-1739.2001.99431.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1026256146
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1111/j.1600-0587.2013.00236.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035337836
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1111/j.2006.0906-7590.04596.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000878166
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1111/j.2007.0906-7590.05236.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016981530
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1117/12.2066842 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025012782
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1126/science.269.5222.331 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062550553
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1139/z04-130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008565808
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.1146/annurev.py.24.090186.001405 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040624388
    360 rdf:type schema:CreativeWork
    361 https://doi.org/10.1515/mamm.2002.66.2.195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035093627
    362 rdf:type schema:CreativeWork
    363 https://doi.org/10.1515/mamm.2005.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002947931
    364 rdf:type schema:CreativeWork
    365 https://doi.org/10.1641/0006-3568(2004)054[0511:hsrrsd]2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043710165
    366 rdf:type schema:CreativeWork
    367 https://doi.org/10.1644/10-mamm-a-009.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068177153
    368 rdf:type schema:CreativeWork
    369 https://doi.org/10.1890/06-1870.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035316989
    370 rdf:type schema:CreativeWork
    371 https://doi.org/10.1890/07-0364.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030203572
    372 rdf:type schema:CreativeWork
    373 https://doi.org/10.1890/1051-0761(2002)012[1469:rbaosh]2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005202329
    374 rdf:type schema:CreativeWork
    375 https://doi.org/10.2108/zsj.24.978 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068910172
    376 rdf:type schema:CreativeWork
    377 https://doi.org/10.2307/1310340 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069432697
    378 rdf:type schema:CreativeWork
    379 https://doi.org/10.2307/1938423 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069662335
    380 rdf:type schema:CreativeWork
    381 https://doi.org/10.2307/1938526 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069662434
    382 rdf:type schema:CreativeWork
    383 https://doi.org/10.2307/1939170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069663036
    384 rdf:type schema:CreativeWork
    385 https://doi.org/10.2307/1941270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016837273
    386 rdf:type schema:CreativeWork
    387 https://doi.org/10.2307/1942049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017025506
    388 rdf:type schema:CreativeWork
    389 https://doi.org/10.2980/i1195-6860-12-1-68.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070952262
    390 rdf:type schema:CreativeWork
    391 https://doi.org/10.2981/07-046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070952331
    392 rdf:type schema:CreativeWork
    393 https://doi.org/10.3354/cr00936 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071158720
    394 rdf:type schema:CreativeWork
    395 https://doi.org/10.4098/at.arch.99-15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072214424
    396 rdf:type schema:CreativeWork
    397 https://www.grid.ac/institutes/grid.27860.3b schema:alternateName University of California, Davis
    398 schema:name Center for Spatial Technologies and Remote Sensing, Department of Land, Air and Water Resources, University of California Davis, One Shields Avenue, 95616, Davis, CA, USA
    399 Department of Innovation, Environmental and Energy Sciences, Utrecht University, Heidelberglaan 2, 3572 TC, Utrecht, The Netherlands
    400 rdf:type schema:Organization
    401 https://www.grid.ac/institutes/grid.9983.b schema:alternateName University of Lisbon
    402 schema:name CESAM & Departmento de Biologia, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal
    403 Centre for Ecology, Evolution and Environmental Change (cE3c), Faculdade de Ciências, Universidade de Lisboa, 1749-016, Lisbon, Portugal
    404 rdf:type schema:Organization
     




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


    ...