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F. R., Boeger, W. A., & Amato, S. B. (1991). Protocolos para Laboratório-Coleta e Processamento de Parasitos de Pescado. UFRRJ, Seropédica: Impr. Univ.",{},{"id":20,"text":408,"url":20,"identifiers":409},"Amin, O. M. (2013). Classification of the Acanthocephala. Folia Parasitologica, 60, 273–305.",{"doi":410},"10.14411\u002Ffp.2013.031",{"id":20,"text":412,"url":20,"identifiers":413},"Anderson, R. C. (2000). Nematode parasites of vertebrates their development and transmission. Farnham Royal: CABI.",{"doi":414},"10.1079\u002F9780851994215.0000",{"id":20,"text":416,"url":20,"identifiers":417},"Anderson, R. C., Chabaud, A. G., & Willmott, S. (2009). Keys to the nematode parasites of vertebrates. Wallingford: CABI.",{"doi":418},"10.1079\u002F9781845935726.0000",{"id":20,"text":420,"url":20,"identifiers":421},"Ayoade, J.O. 1986. Introdução a Climatologia para os Trópicos. Ed. Difel, São Paulo",{},{"id":20,"text":423,"url":20,"identifiers":424},"Baselga, A. (2010). Partitioning the turnover and nestedness components of beta diversity. Global Ecology and Biogeography, 19, 134–143.",{"doi":425},"10.1111\u002Fj.1466-8238.2009.00490.x",{"id":20,"text":427,"url":20,"identifiers":428},"Baselga, A. (2017). Partitioning abundance-based multiple-site dissimilarity into components: Balanced variation in abundance and abundance gradients. Methods in Ecology and Evolution, 8, 799–808.",{"doi":429},"10.1111\u002F2041-210X.12693",{"id":20,"text":431,"url":20,"identifiers":432},"Baselga, A., Orme, D., Villeger, S., De Bortoli, J., & Leprieur, F.. 2018. Betapart: Partitioning beta diversity into turnover and nestedness components. R package version 1.5.0. URL https:\u002F\u002FCRAN.R-project.org\u002Fpackage=betapart",{},{"id":20,"text":434,"url":20,"identifiers":435},"Blanchet, F. G., Legendre, P., & Borcard, D. (2008). Forward selection of explanatory variables. 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Paleontologica Electronica 4:9.\nHeikkinen, M.W. and J.A. MacMahon. 2004. Assemblages of spiders on models of semi-arid shrubs. J. Arachnol. 32:313–323.\nHorváth, R., T. Magura, G. Péter and B. Tóthmérész. 2002. Edge effect on weevils and spiders. Web Ecol. 3:43–47.\nKallimanis A.S., M.D. Argyropoulou and S.P. Sgardelis. 2002. Two scale patterns of spatial distribution of oribatid mites (Acari, Cryptostigmata) in a Greek mountain. Pedobiologia 46:513–525.\nKindt, R. 2008. The Biodiversity R Package. R package ver. 1.2. URL http:\u002F\u002Fcran.r-project.org\u002F.\nKotze, D.J. and M.J. Samways. 2001. No general edge effect for invertebrates at Afromontane forest\u002Fgrassland ecotones. Biodivers. Conserv. 10: 443–466.\nLeps, J. and P. Smilauer. 2003. Multivariate Analysis of Ecological Data Using CANOCO. Cambridge University Press, Cambridge, UK.\nMaelfait, J.P., L. Baert, D. Bonte, D. De Bakker, S. Gurdebeke and F. Hendrickx. 2002 The use of spiders as indicators of habitat quality and anthropogenic disturbance in Flanders, Belgium. In: F. Samu and Cs. Szinetár (eds.), European Arachnology 2002. Plant Protection Institute and Berzsenyi College, Budapest. pp. 129–141.\nMaelfait, J. P. and R. De Keer. 1990. The border zone of an intensively grazed pasture as a corridor for spiders (Araneae). Biol. Conserv. 54:223–238.\nMagura, T. and B. Tóthmérész. 1997. Testing edge effect on carabid assemblages in an oak-hornbeam forest. Acta Zool. Acad. Sci. Hung. 43:303–312.\nMagura, T. and B. Tóthmérész. 1998. Edge effect on Carabids in an Oak-Hornbeam forest at the Aggtelek National Park (Hungary). Acta Phytopathol. Entomol. Hung. 33:379–387.\nMagura, T., B. Tóthmérész and Zs. Bordán. 2002. Carabids in an oak-hornbeam forest: testing the edge effect hypothesis. Acta Biol. Debrecina 24:55–72.\nMartin, T.J. and R. E. Major. 2001. Changes in wolf spider (Araneae) assemblages across woodland–pasture boundaries in the central wheat-belt of New South Wales, Australia. Austral. J. Ecol. 26:264–274.\nMáthé, I. 2006. Forest edge and carabid diversity on a Carpathian beech forest. Community Ecol. 7:90–97.\nMolnár, T., T. Magura, B. Tóthmérész and Z. Elek. 2001. Ground beetles (Carabidae) and edge effecting oak-hornbeam forest and grassland transects. Eur. J. Soil Biol. 37:297–300.\nMuff, P. 2006. Do differences in distance between pitfall traps influence the capture rates of ground-dwelling spiders (Arachnida: Araneae)? Manuscript, Universität Bern, 9 pp.\nMuff, P., C. Kropf, H. Frick, W. Nentwig and M.H. Schmidt-Entling. 2009. Coexistence of divergent communities at natural boundaries: spider (Arachnida: Araneae) diversity across an alpine timberline. Insect Conserv. Diver. 2:36–44.\nMurcia, C. 1995. Edge effect in fragmented forests: implications for conservation. Trends Ecol. Evol. 10:58–62.\nOksanen, J., R. Kindt, P. Legendre and R.B. O’Hara. 2006. VEGAN: Community Ecology Package. R package ver. 1.8–3. URL http:\u002F\u002Fcran.r-project.org\u002F.\nPearce, J.L., L.A. Venier, G. Eccles, J. Pedlar and K. McKenney. 2004. Influence of habitat and microhabitat on epigeal spider (Araneae) assemblages in four stand types. Biodiver. Conserv. 13:1305–1334.\nPlatnick, N.I. 2009. The World Spider Catalog, Version 10.0. URL http:\u002F\u002Fresearch.amnh.org\u002Fentomology\u002Fspiders\u002Fcatalog\u002F\nR Development Core Team 2007. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http:\u002F\u002Fwww.R-project.org.\nRaizer, J. and M.E.C Amaral. 2001. Does the structural complexity of aquatic macrophites explain the diversity of associated spider assemblages? J. Arachnol. 29:227–237.\nRobinson, J.V. 1981. The effect of architectural variation in habitat on a spider community: An experimental field study. Ecology 62:73–80.\nSamu, F., K.D. Sunderland and Cs. Szinetár. 1999. Scale-dependent dispersal and distribution patterns of spiders in agricultural systems: A review. J. Arachnol. 27:325–332.\nSamu, F., A. Szirányi and B. Kiss. 2003. Foraging in agricultural fields: local ‘sit-and-move’ strategy scales up to risk-averse habitat use in a wolf spider. Animal Behav. 66:939–947.\nSanders, D., H. Nickel, T. Grützner and C. Platner. 2008. Habitat structure mediates top–down effects of spiders and ants on herbivores. Basic App. Ecol. 9:152–160.\nSimon, T. 2000. A magyarországi edényes flóra határozója (Guide to the Hungarian Vascular Flora). Nemzeti Tankönyvkiadó, Budapest.\nTóthmérész, B. 1993. DivOrd 1.50: A Program for diversity ordering. Tiscia 27:33–44.\nTóthmérész, B. 1995. Comparsion of different methods for diversity ordering. J. Veg. Sci. 6:283–290.\nUetz, G.W. 1979. The influence of variation in litter habitats on spider communities. Oecologia (Berlin) 40:29–42.\nUetz, G.W. 1991. Habitat structure and spider foraging. In: Bell, S.S., McCoy, E.D., Mushinsky, H.R. (eds.), Population and Community Biology Series. Chapman and Hall, London. pp. 325–348.\nYsnel, F. and A. Canard. 2000. Spider biodiversity in connection with the vegetation structure and the foliage orientation of hedges. J. Arachnol. 28:107–114.\nZiesche, T.M. and M. Roth. 2007. Influence of environmental parameters on small-scale distribution of soil-dwelling spiders in forests: What makes difference, the tree species or the microhabitat? Forest Ecol. Manage. 255:738–752.\nZólyomi, B. 1987. Coenotone, ecotone and their role of preserving relic species. Acta Bot. Hung. 33:3–18.\nZulka, K.P., N. Milasowszky and C. Lethmayer. 1997. Spiders biodiversity of an ungrazed and grazed inland salt meadow in the national park ‘Neusiedler See-Seewinkel’ (Austria): implications for management. Biodiver. Conserv. 6:75–88.",{"EN":651},"Natural habitat edges are known to influence the vegetation structure, the microclimate and thereby the invertebrate assemblages. We studied the spiders of two forest edges in the forest-steppe zone of the Great Hungarian Plain (Site 1: a dense juniper shrub – open grassland and Site 2: a juniper and poplar forest – open grassland edge, respectively). The spider assemblages were sampled with pitfall traps arranged in 5 × 20 grid at the habitat edges. Observed and estimated species richness was higher for the grasslands than for the forests. Rényi’s diversity ordering was applied to compare species diversity. The results showed that the grasslands were more diverse in terms of spider species than the forests. The composition of spider assemblages was significantly different between the two habitat types. At Site 2, a higher number forest specialists penetrated into the grassland. Presumably this was due to the shading effect of the nearby poplar trees. Constrained ordinations also revealed a strong influence of the neighbouring poplar trees and vegetation structure on the spider assemblages. No exclusively edge associated species were found on either of the two sharp forest edges.",{"EN":653},"Epigeic spider (Araneae) assemblages of natural forest edges in the Kiskunság (Hungary)",{"VOID":655},"10.1556\u002FComEc.10.2009.2.2","https:\u002F\u002Fakjournals.com:443\u002Fview\u002Fjournals\u002F168\u002F10\u002F2\u002Farticle-p146.xml",[658,676],{"id":659,"sortIndex":150,"researcher":20,"roles":660,"affiliations":662,"properties":673},"10d1c07e-f750-4867-9025-23d79efb3634",[661],"AUTHOR",[663],{"id":20,"sortIndex":21,"affiliation":664,"properties":20},{"id":665,"createTime":666,"updateTime":667,"relativeEntities":668,"slug":669,"properties":670,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"09c6a63e-510e-43ea-a9cc-58e0ccab3819","2023-12-07T14:25:23.706+00:00","2025-06-11T22:42:33.215+00:00",[],"Department-of-Ecology-University-of-Szeged-Szeged-Hungary",{"title":671},{"VI":672},"Department of Ecology, University of Szeged, Szeged, Hungary",{"title":674},{"VI":675},"A. Torma",{"id":677,"sortIndex":21,"researcher":20,"roles":678,"affiliations":679,"properties":685},"031854c0-5a61-4b33-8e19-5a2d24abf3b1",[661],[680],{"id":20,"sortIndex":21,"affiliation":681,"properties":20},{"id":665,"createTime":666,"updateTime":667,"relativeEntities":682,"slug":669,"properties":683,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":684},{"VI":672},{"title":686},{"VI":687},"R. Gallé",{"url":656,"publisher":689,"properties":717},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":690,"slug":10,"properties":691,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":695,"manageAffiliations":696,"indexDatabases":697,"url":20,"thumbnailPath":20,"statistic":712,"gsStatistic":20,"type":20,"analyzePriority":20},[],{"issn":692,"eissn":693,"title":694},{"VOID":13},{"VOID":15},{"EN":17},[],[],[698,705],{"id":86,"indexDatabase":699,"url":101,"indexYears":20,"academicFieldIds":704,"indexDatabaseRanking":20},{"id":88,"createTime":89,"updateTime":90,"relativeEntities":700,"label":701,"description":702,"key":97,"publicationTags":703,"standard":20},[],{"EN":93,"VI":93},{"VI":95,"EN":96},[99,100],[103],{"id":66,"indexDatabase":706,"url":79,"indexYears":80,"academicFieldIds":711,"indexDatabaseRanking":84},{"id":68,"createTime":69,"updateTime":70,"relativeEntities":707,"label":708,"description":709,"key":76,"publicationTags":710,"standard":20},[],{"EN":73,"VI":73},{"EN":73,"VI":75},[78],[82,83],{"impactFactor":21,"impactFactorByYear":713,"i10Index":116,"i10IndexLast5Year":21,"totalPublication":117,"totalPublicationByYear":714,"totalCitation":135,"totalCitationByYear":715,"totalCitationPerPublication":151,"totalCitationPerPublicationByYear":716,"hindexLast5Year":129,"hindex":129},{"2012":106,"2013":107,"2014":108,"2015":109,"2016":110,"2017":111,"2018":112,"2019":113,"2020":114,"2021":115,"2022":108,"2023":115},{"2000":119,"2001":120,"2002":121,"2003":122,"2004":123,"2005":124,"2006":125,"2007":125,"2008":126,"2009":124,"2010":123,"2011":124,"2012":124,"2013":119,"2014":122,"2015":127,"2016":128,"2017":120,"2018":129,"2019":130,"2020":127,"2021":131,"2022":132,"2023":133,"2024":134},{"2000":124,"2001":137,"2002":129,"2003":138,"2004":139,"2005":140,"2006":120,"2007":141,"2008":126,"2009":142,"2010":143,"2011":144,"2012":145,"2013":134,"2014":146,"2015":147,"2016":50,"2017":62,"2018":127,"2019":127,"2020":148,"2021":128,"2022":127,"2023":149,"2024":150},{"2000":153,"2001":154,"2002":155,"2003":156,"2004":157,"2005":158,"2006":159,"2007":160,"2008":150,"2009":161,"2010":162,"2011":163,"2012":164,"2013":165,"2014":166,"2015":167,"2016":168,"2017":114,"2018":169,"2019":170,"2020":171,"2021":172,"2022":173,"2023":174,"2024":175},{"volume":718,"pages":720},{"VOID":719},"10",{"VOID":721},"146-151","2009-12-30",2009,{"id":725,"createTime":726,"updateTime":727,"relativeEntities":728,"slug":729,"properties":730,"entityType":198,"verifyStatus":199,"verifyTime":727,"verifyNote":200,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":739,"fullTextUrl":20,"authors":740,"publicationType":362,"publisherRelationship":785,"citationCount":20,"citationInfo":20,"publishDate":819,"publishYear":820,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":642},"dcad7060-641b-4218-9b7b-ce04b2e5e38e","2023-12-27T05:23:03.964+00:00","2025-01-14T23:56:34.085+00:00",[],"A-comparative-sink-web-analysis-of-two-bird-species-in-two-habitats-trophic-structure-functionality-aggregation-and-system-level-indication",{"references":731,"abstract":733,"title":735,"doi":737},{"VOID":732},"Cohen, J.E. 1978. Food Webs and Niche Space. Princeton University Press, Princeton.\nCummis, K.W. and J.C. Wuycheck. 1971. Caloric equivalents for investigations in ecological energetics. Intern. Verein. Theor. Angew. Limnol. 18: 1–159.\nGowing, G. and H.F. Recher. 1984. Length-weight relationships for invertebrates from forests in south-eastern New South Wales. Australian J. Ecol. 9: 5–8.\nJávor, B., F. Jordán and J. Török. XXXx. Differences between the feeding habits of blackbird (Turdus merula) in a forest and an orchard habitat - a sink web approach. Environmetrics, in press.\nJordán, F. 2003a. Comparability: the key to the applicability of food web research. Appl. Ecol. Environmental Res. 1: 1–18.\nJordán, F. 2003b. On the functional trophic height of whiting. Ecol. Indicators 3: 223–225.\nKitching, R.L. 2000. Food Webs and Container Habitats. Cambridge University Press, Cambridge.\nKluyver, H.N. 1933. Bijdrage tot de biologie en de ecologie van den spreeuw, Sturnus vulgaris, gerunde zijn voort-plantingstijd. Verl. Med. Plant. Dients Wageningen 69: 1–145.\nMacArthur, R. 1955. Fluctuations of animal populations, and a measure of community stability. Ecology 36: 533–536.\nPatten, B.C. 1981. Environs: the superniches of ecosystems. Amer. Zool. 21: 845–852.\nPatten, B.C. 1991. Concluding remarks. Network ecology: indirect determination of the life-environment relationship in ecosystems. In: M. Higashi and T.P. Burns (eds.), Theoretical Studies of Ecosystems - the Network Perspective, Cambridge University Press, Cambridge. pp. 288–351.\nPolis, G.A. and D.R. Strong. 1996. Food web complexity and community dynamics. Amer. Nat. 147: 813–846.\nReagan, D.P. and R.B. Waide. 1996. The Food Web of a Tropical Rain Forest. The University of Chicago Press, Chicago.\nRogers, L.E. 1976. A general weight vs. length relationship for insects. Annals Entomol. Soc. Amer. 69: 387–389.\nRoot, R.B. 1967. The niche exploitation pattern of the blue-gray gnatcatcher. Ecol. Monogr. 37: 317–350.\nSasvári, L. 1978. A városi életkörülményekhez való alkalmazkodás néhány madáretológiai vonatkozása. XIII. Biológiai Vándorgyűlés, Budapest. (in Hungarian)\nSasvári, L. 1985. Keypeck conditioning with reinforcements in two different locations in thrush, tit and sparrow species. Behavioural Processes 11: 245–252.\nTörök, J. 1981. Food composition of nestling blackbirds in an oak forest bordering on an orchard. Opuscula Zoologica Budapest XVII-XVIII: 145–156.\nTörök, J. 1986. Food segregation in three hole-nesting bird species during the breeding season. Ardea 74: 129–136.\nTörök, J. 1987. A fekete rigó táplálékkereső stratégiája. Állattani Közlemények LXXIV: 77–87 (in Hungarian).\nTörök, J. and É. Ludvig. 1988. Seasonal changes in foraging strategies of nesting blackbirds (Turdus merula L.). Behavioural Ecol. Sociobiol. 22:329–333.\nUlanowicz, R.E. 1996. Trophic flow networks as indicators of ecosystem stress. In: G. A. Polis and K.O. Winemiller (eds.), Food Webs: Integration of Patterns and Dynamics, Chapman and Hall, London. pp. 358–368.\nYodzis, P. 1998. Local trophodynamics and the interaction of marine mammals and fisheries in the Benguela ecosystem. J. Animal Ecol. 67: 635–658.",{"EN":734},"Changes in the trophic structure of communities are good indicators of ecosystem stress or environmental change. Here, we compare the sink webs of two bird species (great tit, Parus major, and European blackbird, Turdus merula) in two habitats (a forest and an orchard), in order to detect the differences in their trophic status. The webs are functionally aggregated in three steps, based on energetics. Our main conclusion is that tits are less sensitive to habitat change from the natural to the agricultural.",{"EN":736},"A comparative sink web analysis of two bird species in two habitats: trophic structure, functionality, aggregation and system-level indication",{"VOID":738},"10.1556\u002FComEc.6.2005.1.2","https:\u002F\u002Fakjournals.com:443\u002Fview\u002Fjournals\u002F168\u002F6\u002F1\u002Farticle-p13.xml",[741,756,773],{"id":742,"sortIndex":21,"researcher":20,"roles":743,"affiliations":744,"properties":753},"8a81f438-e4f5-4082-99c1-4b5d6fd3c823",[661],[745],{"id":20,"sortIndex":21,"affiliation":746,"properties":20},{"id":747,"createTime":748,"updateTime":748,"relativeEntities":749,"slug":20,"properties":750,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"33aad163-2bc1-4c88-b695-576dabefc1ef","2023-12-27T05:23:04.011+00:00",[],{"title":751},{"VI":752},"Department of Systematic Zoology and Ecology, Eötvös University, Budapest, Hungary",{"title":754},{"VI":755},"B. Jávor",{"id":757,"sortIndex":150,"researcher":20,"roles":758,"affiliations":759,"properties":770},"c896c691-cd9a-4175-8b02-5a9cc00ab60c",[661],[760],{"id":20,"sortIndex":21,"affiliation":761,"properties":20},{"id":762,"createTime":763,"updateTime":764,"relativeEntities":765,"slug":766,"properties":767,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"36c14839-196a-4e76-a29f-d5694365844d","2023-12-20T07:51:30.266+00:00","2024-11-26T21:58:53.811+00:00",[],"Institute-of-Ecology-and-Botany-Hungarian-Academy-of-Sciences-V%C3%A1cr%C3%A1t%C3%B3t-Hungary",{"title":768},{"VI":769},"Institute of Ecology and Botany, Hungarian Academy of Sciences, Vácrátót, Hungary",{"title":771},{"VI":772},"F. Jordán",{"id":774,"sortIndex":149,"researcher":20,"roles":775,"affiliations":776,"properties":782},"7826fd23-f219-4142-8d44-493ebacd9571",[661],[777],{"id":20,"sortIndex":21,"affiliation":778,"properties":20},{"id":747,"createTime":748,"updateTime":748,"relativeEntities":779,"slug":20,"properties":780,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":781},{"VI":752},{"title":783},{"VI":784},"J. 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Procedures for Change Detection using Landsat Digital data. Internationaljournal of Remote Sensing 2: 277–291.\nJain, A. K., M. N. Murty and P. J. Flynn. 1999. Data clustering: A review. ACM Computing Surveys, 31: 264–323.\nJames, M. 1985. Classification Algorithms. John Wiley & Sons, London, UK.\nJohnson, R. and E. Kasischke. 1998. Change vector analysis: A technique for the multispectral monitoring of land cover and condition. International Journal of Remote Sensing 19: 411–426.\nKelly, P. and J. White. 1993. Preprocessing Remotely-Sensed Data for Efficient Analysis and Classification. Applications of Artificial Intelligence 1993: Knowledge-Based Systems in Aerospace and Industry, Proceedings SPIE 1993. pp. 24–30.\nLambin, E. and A. Strahler. 1994a. Indicators of land-cover change for change vector analysis in multitemporal space at coarse spatial scales. International Journal of Remote Sensing 15:2099–2119.\nLambin, E. F. and A. H. Strahler. 1994b. 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Forest Service, Pacific Northwest Research Station. 122 pp.\nMichalek, J., T. Wagner, J. Luczkovich and R. Stoffle. 1993. Multi-spectral change vector analysis for monitoring coastal marine environments. Photogrammetric Engineering and Remote Sensing 59: 381–384.\nMiller, R., ed. 1994. Mapping the Diversity of Nature. Chapman & Hall, New York.\nMyers, W. 2003. Doubly segmented images for pattern-based approach to change detection. Final report on NASA Research Project NAG5-1054. Research Report PSIE 2003-6, Penn State Institutes of Environment, The Pennsylvania State University, Univ. Park, PA 16802 USA. 90 pp. + CD-ROM.\nMyers, W., G. P. Patil and C. Taillie. 1999. Conceptualizing pattern analysis of spectral change relative to ecosystem status. Ecosystem Health 5: 285–293.\nPatil, G. P., R. Brooks, W. Myers, D. Rapport and C. Taillie. 2001. Ecosystem health and its measurement at landscape scale: Toward the next generation of quantitative assessments. Ecosystem Health 7: 307–316.\nPatil, G. P. and W. Myers. 1999. Environmental and ecological health assessment of landscapes and watersheds with remote sensing data. Ecosystem Health 5:221–224.\nPratt, W. 1991. Digital Image Processing. John Wiley & Sons, New York.\nRichards, J. A. and X. llia. 1999. Remote Sensing Digital Image Analysis, 3rd edition. Springer-Verlag, Berlin.\nRogan, J., J. Franklin and D. Roberts. 2003. A comparison of methods for monitoring multitemporal vegetation change using thematic mapper imagery. Remote Sensing of Environment 80: 143–156.\nRogan, J., J. Miller, D. Stow, J. Franklin, L. Levien and C. Fischer. 2003. Land-cover change monitoring with classification trees using landsat tm and ancillary data. Photogrammetric Engineering and Remote Sensing 69: 793–804.\nSingh, A. 1989. Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing 10: 989–1003.\nSohl, T. and J. Dwyer. 1998. North American landscape characterization project: the production of a continental scale three-decade landsat data set. Geocarto International 13: 43–51.\nSong, C., C. Woodcock, K. Seto, M. Lenney and S. Macomber. 2001. Classification and change detection using landsat tm data: when and how to correct atmospheric effects. Remote Sensing of Environment 75: 230–244.\nTso, B. and P. Mather. 2001. Classification Methods for Remotely Sensed Data. Taylor and Francis, New York.\nTurner, M. R. Gardner and R. O’Neill. 2001. Landscape Ecology in Theory and Practice: Pattern and Process. Springer-Verlag, Inc., New York.\nWilson, J. and J. Gallant (eds.) 2000. Terrain Analysis: Principles and Applications. John Wiley and Sons, Inc., New York.",{"EN":1355},"Multi-band remotely sensed image data contain information on landscape pattern and temporal changes that are greatly underutilized in this technological era when monitoring of disturbance and ecological dynamics is increasingly important to address questions regarding sustainability of ecosystem health and climate change. Among the reasons for this loss of analytical opportunity are the inadequacy of methods for systematic extraction of pattern elements, incongruity between information paradigms for remote sensing and geographic information systems (GIS), and the sheer volume of remotely sensed image data when acquired regularly over time. Long-term cooperative landscape ecological investigations concerning habitat and change detection in conjunction with remote sensing and GIS have yielded a pattern-based approach to progressively segmenting images (PSI) that culminates in a doubly segmented image representation by sets of approximating signal vectors that serve as parsimonious proxies for pixel vectors. The coarser level of segmentation is entirely congruent with raster map structures for GIS, and yet mimics the appearance of an image display by colorization using information on typical spectral properties of segments contained in attribute tables. The components of the coarser representation as spatial segments constitute explicit elements of pattern at several levels. The explicit nature of these pattern elements enables spatial pattern matching for change detection that resolves difficulties with phenological variability and continuity of sensor configurations over time. Conversion to segmented representation can be applied to multi-temporal change indices so as to elicit longer-term patterns of change from temporal sequences of images. The finer level of segmentation for spectral detail enables restoration of image bands in the manner of a low-pass filter for analysis according to the usual paradigms of remote sensing. Mapping of the residuals for the finer detail of image approximation provides further information on exceptional features of landscape ecological pattern.",{"EN":1357},"Doubly segmented proxy images for multi-scale landscape ecology and ecosystem health",{"VOID":1359},"10.1556\u002FComEc.4.2003.2.5","http:\u002F\u002Fwww.akademiai.com\u002Fdoi\u002Fabs\u002F10.1556\u002FComEc.4.2003.2.5",[1362,1382,1397],{"id":1363,"sortIndex":149,"researcher":20,"roles":1364,"affiliations":1365,"properties":1379},"23f1acd3-3bd3-401a-9b86-6b273dbebf2c",[661],[1366],{"id":1367,"sortIndex":21,"affiliation":1368,"properties":1376},"67e8cdfb-9e89-4676-8a2a-e94bff8d7433",{"id":1369,"createTime":1370,"updateTime":1370,"relativeEntities":1371,"slug":1372,"properties":1373,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"27205d88-ff98-4aec-b128-03c8324ff8d5","2023-11-26T01:38:12.811+00:00",[],"Center-for-Statistical-Ecology-and-Environmental-Statistics-Department-of-Statistics-The-Pennsylvania-State-University-University-Park-U-S-A",{"title":1374},{"VI":1375},"Center for Statistical Ecology and Environmental Statistics, Department of Statistics, The Pennsylvania State University, University Park, U.S.A",{"title":1377},{"VI":1378},"Center for Statistical Ecology and Environmental Statistics, Department of Statistics, The Pennsylvania State University, University Park, USA",{"title":1380},{"VI":1381},"C. 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Viewing invasive species removal in a whole-ecosystem context. Trends Ecol. Evol. 16: 454–459.",{"EN":1529},"The study of invasion ecology usually focuses on the negative impacts of alien species, while potential positive impacts are often overlooked. Understanding of biotic interactions may thus be skewed towards the negative, which could have important implications for ecological management and conservation. This article provides a comprehensive review of all types of impacts, both beneficial and detrimental, that can result from species translocation. An extensive review of literature on species introductions to terrestrial, freshwater and marine ecosystems and involving a wide range of taxa (including microorganisms, parasites, plants, insects, amphibians, reptiles, birds, mammals, fish and Crustacea) showed that, despite limited research into facilitative alien-native interactions, such interactions occur surprisingly frequently. Examples were found of introduced species acting as hosts, food sources, pollinators or seed dispersers for native species, as well as providing herbivory, predatory or parasite release. However, research showed that numerous negative interactions also occurred and combination impacts (when an alien benefits some natives but disadvantages others) were common. In many cases, the traditional view that biological invasions constitute a significant threat to native biota is both accurate and appropriate. Efforts to prevent translocation and control non-native species can be vital. However, the “native good, alien bad” maxim does not convey the complexity of invasion ecology: alien species do not axiomatically pose a threat to native biota. In order to move understanding of invasion ecology forward and to develop maximally-effective management strategies, facilitative alien-native interactions need to be added into the alien species debate.",{"EN":1531},"Are the ecological impacts of alien species misrepresented? A review of the “native good, alien bad” philosophy",{"VOID":1533},"10.1556\u002FComEc.11.2010.1.3","https:\u002F\u002Fakjournals.com:443\u002Fview\u002Fjournals\u002F168\u002F11\u002F1\u002Farticle-p13.xml",[1536],{"id":1537,"sortIndex":21,"researcher":20,"roles":1538,"affiliations":1539,"properties":1548},"463ca8de-b240-4250-9b59-bc7596fc28f0",[661],[1540],{"id":20,"sortIndex":21,"affiliation":1541,"properties":20},{"id":1542,"createTime":1543,"updateTime":1543,"relativeEntities":1544,"slug":20,"properties":1545,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"40ac89f3-b236-4fb8-92ae-79c4401fc278","2023-12-18T23:49:04.496+00:00",[],{"title":1546},{"VI":1547},"Department of Natural and Social Sciences, Francis Close Hall Campus, University of Gloucestershire, Cheltenham, UK",{"title":1549},{"VI":1550},"A. E. 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Eötvös University, Budapest, Hungary",{"openalex":1639,"orcid":1641,"title":1643},{"VOID":1640},"A5090050329",{"VOID":1642},"https:\u002F\u002Forcid.org\u002F0000-0003-0860-2252",{"EN":1644},"József Garay",{"url":20,"publisher":1646,"properties":20},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1647,"slug":10,"properties":1648,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":1652,"manageAffiliations":1653,"indexDatabases":1654,"url":20,"thumbnailPath":20,"statistic":1669,"gsStatistic":20,"type":20,"analyzePriority":20},[],{"issn":1649,"eissn":1650,"title":1651},{"VOID":13},{"VOID":15},{"EN":17},[],[],[1655,1662],{"id":86,"indexDatabase":1656,"url":101,"indexYears":20,"academicFieldIds":1661,"indexDatabaseRanking":20},{"id":88,"createTime":89,"updateTime":90,"relativeEntities":1657,"label":1658,"description":1659,"key":97,"publicationTags":1660,"standard":20},[],{"EN":93,"VI":93},{"VI":95,"EN":96},[99,100],[103],{"id":66,"indexDatabase":1663,"url":79,"indexYears":80,"academicFieldIds":1668,"indexDatabaseRanking":84},{"id":68,"createTime":69,"updateTime":70,"relativeEntities":1664,"label":1665,"description":1666,"key":76,"publicationTags":1667,"standard":20},[],{"EN":73,"VI":73},{"EN":73,"VI":75},[78],[82,83],{"impactFactor":21,"impactFactorByYear":1670,"i10Index":116,"i10IndexLast5Year":21,"totalPublication":117,"totalPublicationByYear":1671,"totalCitation":135,"totalCitationByYear":1672,"totalCitationPerPublication":151,"totalCitationPerPublicationByYear":1673,"hindexLast5Year":129,"hindex":129},{"2012":106,"2013":107,"2014":108,"2015":109,"2016":110,"2017":111,"2018":112,"2019":113,"2020":114,"2021":115,"2022":108,"2023":115},{"2000":119,"2001":120,"2002":121,"2003":122,"2004":123,"2005":124,"2006":125,"2007":125,"2008":126,"2009":124,"2010":123,"2011":124,"2012":124,"2013":119,"2014":122,"2015":127,"2016":128,"2017":120,"2018":129,"2019":130,"2020":127,"2021":131,"2022":132,"2023":133,"2024":134},{"2000":124,"2001":137,"2002":129,"2003":138,"2004":139,"2005":140,"2006":120,"2007":141,"2008":126,"2009":142,"2010":143,"2011":144,"2012":145,"2013":134,"2014":146,"2015":147,"2016":50,"2017":62,"2018":127,"2019":127,"2020":148,"2021":128,"2022":127,"2023":149,"2024":150},{"2000":153,"2001":154,"2002":155,"2003":156,"2004":157,"2005":158,"2006":159,"2007":160,"2008":150,"2009":161,"2010":162,"2011":163,"2012":164,"2013":165,"2014":166,"2015":167,"2016":168,"2017":114,"2018":169,"2019":170,"2020":171,"2021":172,"2022":173,"2023":174,"2024":175},{"total":128,"publishYear":20,"statisticByYear":1675},{"2012":150,"2014":150,"2015":303,"2016":150,"2017":149,"2018":149,"2019":149,"2020":150,"2021":150},"2010-12-01","2024-04-14T13:07:48.335+00:00",[1679,1683,1687,1690,1694,1698,1702,1706,1710,1714,1718,1722,1726,1730,1734,1737,1741,1745,1749,1753,1757,1761,1765,1769,1773,1776,1779],{"id":20,"text":1680,"url":20,"identifiers":1681},"Anderson J.J., 2010, Ratio- and predator-dependent functional forms for predators optimal foraging in patches, Am. Nat., 175, 240, 10.1086\u002F649606",{"doi":1682},"10.1086\u002F649606",{"id":20,"text":1684,"url":20,"identifiers":1685},"Abrams P., 1998, Apparent competition or apparent mutualism? Shared predation when populations cycle, Ecology, 78, 201, 10.1890\u002F0012-9658(1998)079[0201:ACOAMS]2.0.CO;2",{"doi":1686},"10.1890\u002F0012-9658(1998)079[0201:ACOAMS]2.0.CO;2",{"id":20,"text":1688,"url":20,"identifiers":1689},"Berec L., 1999, Mixed encounters, limited perception and optimal foraging, Bull. Math. Biol., 1, 1",{},{"id":20,"text":1691,"url":20,"identifiers":1692},"Berec L., 2000, A mechanistic model for partial preference, Theor. Pop. Biol., 58, 279, 10.1006\u002Ftpbi.2000.1491",{"doi":1693},"10.1006\u002Ftpbi.2000.1491",{"id":20,"text":1695,"url":20,"identifiers":1696},"Bélisle C., 1997, The effects of limited memory capacity on foraging behavior, Theor. Pop. Biol., 52, 78, 10.1006\u002Ftpbi.1997.1319",{"doi":1697},"10.1006\u002Ftpbi.1997.1319",{"id":20,"text":1699,"url":20,"identifiers":1700},"Charnov E.L., 1976, Optimal foraging, the marginal value theorem, Theor. Pop. Biol., 9, 129, 10.1016\u002F0040-5809(76)90040-X",{"doi":1701},"10.1016\u002F0040-5809(76)90040-X",{"id":20,"text":1703,"url":20,"identifiers":1704},"Cressman R., 2003, Evolutionary stability in Lotka-Volterra system, J. Theor. Biol., 222, 233, 10.1016\u002FS0022-5193(03)00032-8",{"doi":1705},"10.1016\u002FS0022-5193(03)00032-8",{"id":20,"text":1707,"url":20,"identifiers":1708},"Cressman, R., and Garay J. 2010. The effect of opportunistic and intentional predators on herding behaviour of prey. \u003Ci>Ecology\u003C\u002Fi>, accepted.",{"doi":1709},"10.1890\u002F10-0199.1",{"id":20,"text":1711,"url":20,"identifiers":1712},"Hayward M.A., 2005, Prey preference of the lions (Panthera leo), J. Zool. Lond., 267, 309, 10.1017\u002FS0952836905007508",{"doi":1713},"10.1017\u002FS0952836905007508",{"id":20,"text":1715,"url":20,"identifiers":1716},"Hebblewhite M., 2002, Effects of elk group size on predation by wolves, Can. J. Zool., 80, 800, 10.1139\u002Fz02-059",{"doi":1717},"10.1139\u002Fz02-059",{"id":20,"text":1719,"url":20,"identifiers":1720},"Holling C.S., 1959, The components of predation as revealed by a study of small-mammal predation of the European pine sawfly, Can. Entomol., 91, 293, 10.4039\u002FEnt91293-5",{"doi":1721},"10.4039\u002FEnt91293-5",{"id":20,"text":1723,"url":20,"identifiers":1724},"Huggard D.J., 1993, Prey selectivity of wolves in Banff National Park. I. Prey species, Can. J. Zool., 71, 130, 10.1139\u002Fz93-019",{"doi":1725},"10.1139\u002Fz93-019",{"id":20,"text":1727,"url":20,"identifiers":1728},"Huggard D.J., 1993, Prey selectivity of wolfs in Banff National Park. II: Age, sex and condition of elk, Can. J. Zool., 71, 140, 10.1139\u002Fz93-020",{"doi":1729},"10.1139\u002Fz93-020",{"id":20,"text":1731,"url":20,"identifiers":1732},"Jeschke J.M., 2002, Predator functional responses: discriminating between handling and digesting prey, Ecol. Monog., 72, 95, 10.1890\u002F0012-9615(2002)072[0095:PFRDBH]2.0.CO;2",{"doi":1733},"10.1890\u002F0012-9615(2002)072[0095:PFRDBH]2.0.CO;2",{"id":20,"text":1735,"url":20,"identifiers":1736},"Krivan V., 2003, Competitive co-existence caused by adaptive predators, Evol. Ecol. Res., 5, 1163",{},{"id":20,"text":1738,"url":20,"identifiers":1739},"Kunkel K.E., 2004, Factors correlated with foraging behaviour of wolves in and near Glacier National Park, Montana, J. Wildl. Manage, 68, 167, 10.2193\u002F0022-541X(2004)068[0167:FCWFBO]2.0.CO;2",{"doi":1740},"10.2193\u002F0022-541X(2004)068[0167:FCWFBO]2.0.CO;2",{"id":20,"text":1742,"url":20,"identifiers":1743},"Lankford T.E., 1997, Selective predation by juvenile weakfish: Post-consumptive constraints on energy maximization and growth, Ecology, 78, 1049, 10.1890\u002F0012-9658(1997)078[1049:SPBJWP]2.0.CO;2",{"doi":1744},"10.1890\u002F0012-9658(1997)078[1049:SPBJWP]2.0.CO;2",{"id":20,"text":1746,"url":20,"identifiers":1747},"Marten G.G., 1972, An optimization equation for predation, Ecology, 54, 92, 10.2307\u002F1934377",{"doi":1748},"10.2307\u002F1934377",{"id":20,"text":1750,"url":20,"identifiers":1751},"McNamara J.M., 1987, Partial preference and foraging, Anim. Behav., 35, 1084, 10.1016\u002FS0003-3472(87)80166-5",{"doi":1752},"10.1016\u002FS0003-3472(87)80166-5",{"id":20,"text":1754,"url":20,"identifiers":1755},"Nachman G., 2006, A functional response model of a predator population foraging in a patch habitat, J. Anim. Ecol., 75, 948, 10.1111\u002Fj.1365-2656.2006.01114.x",{"doi":1756},"10.1111\u002Fj.1365-2656.2006.01114.x",{"id":20,"text":1758,"url":20,"identifiers":1759},"O’Donoghue M., 1997, Numerical responses of coyotes and lynx to the snowshoe hare cycle, Oikos, 80, 150, 10.2307\u002F3546526",{"doi":1760},"10.2307\u002F3546526",{"id":20,"text":1762,"url":20,"identifiers":1763},"O’Donoghue M., 1998, Behaviour responses of coyotes and lynx to the snowshoe hare cycle, Oikos, 82, 169, 10.2307\u002F3546927",{"doi":1764},"10.2307\u002F3546927",{"id":20,"text":1766,"url":20,"identifiers":1767},"O’Donoghue M., 1998, Functional responses of coyotes and lynx to the snowshoe hare cycle, Ecology, 79, 1193, 10.1890\u002F0012-9658(1998)079[1193:FROCAL]2.0.CO;2",{"doi":1768},"10.1890\u002F0012-9658(1998)079[1193:FROCAL]2.0.CO;2",{"id":20,"text":1770,"url":20,"identifiers":1771},"Prugh L.R., 2005, Coyote prey selection and community stability during a decline in food supply, Oikos, 110, 253, 10.1111\u002Fj.0030-1299.2005.13478.x",{"doi":1772},"10.1111\u002Fj.0030-1299.2005.13478.x",{"id":20,"text":1774,"url":20,"identifiers":1775},"Schaller G.B., 1972, The Serengeti Lion",{},{"id":20,"text":1777,"url":20,"identifiers":1778},"Stephans D.W., 1986, Foraging theory. Monographs in Behaviour and Ecology",{},{"id":20,"text":1780,"url":20,"identifiers":1781},"Tschanz B., 2007, Functional responses: A question of alternative prey and predator density, Ecology, 88, 1300, 10.1890\u002F06-1512",{"doi":1782},"10.1890\u002F06-1512",{"id":1784,"createTime":1785,"updateTime":1786,"relativeEntities":1787,"slug":1788,"properties":1789,"entityType":198,"verifyStatus":199,"verifyTime":1786,"verifyNote":200,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1800,"fullTextUrl":20,"authors":1801,"publicationType":362,"publisherRelationship":1862,"citationCount":20,"citationInfo":20,"publishDate":1891,"publishYear":1892,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":642},"e6046906-9b93-4825-adfe-49c496570f81","2024-04-09T05:31:32.472+00:00","2025-02-14T23:26:38.267+00:00",[],"Importance-of-species-abundance-for-assessment-of-trait-composition-an-example-based-on-pollinator-communities",{"references":1790,"keywords":1792,"abstract":1794,"title":1796,"doi":1798},{"VOID":1791},"Ackerly, D.D., Knight, C.A., Weiss, S.B., Barton, K. and Starmer, K.P. 2002. 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MacMillan, New York.",{"EN":1793},"",{"EN":1795},"Measurements of trait community composition are known to be sensitive to the way species abundance is assessed, but not to what extent. This was investigated by considering two of the most commonly used indices of community trait composition, trait averages and functional diversity, in bee communities along a post-fire environmental gradient. The indices were computed using three different species abundance measurements (log and unlog number of individuals and species occurrence only) and 5 traits. For certain traits, the responses of the indices to fire varied according to how species abundance was measured. The measurements that took species abundance into account in the most distinct way (e.g., occurrence vs. unlog data) produced the least similar results for all traits. Species were then grouped into different classes on the basis of their relative abundance (i.e., dominants, subdominants, and rare species). As a result, the measure that attaches the highest importance to the abundance of species (unlog data) related mostly to the dominant species traits, while the measure attaching the lowest (i.e., species occurrence) related more to rare species traits. Species diversity was mostly independent of trait averages and functional diversity, regardless of the measure of species abundance used. We also quantified functional redundancy (i.e., the potential minus the observed functional diversity in each community). When more weight was attached to species abundance, redundancy decreased and tended to be less correlated with species diversity. Overall, the way species abundance is taken into consideration in indices of functional composition offers promising insights into the way community assembly mechanisms respond to environmental changes.",{"EN":1797},"Importance of species abundance for assessment of trait composition: an example based on pollinator communities",{"VOID":1799},"10.1556\u002FComEc.8.2007.2.3","https:\u002F\u002Fakjournals.com:443\u002Fview\u002Fjournals\u002F168\u002F8\u002F2\u002Farticle-p163.xml",[1802,1818,1834,1850],{"id":1803,"sortIndex":303,"researcher":20,"roles":1804,"affiliations":1805,"properties":1815},"9d8fa2bf-2614-445d-9f5c-f6f172e15e0c",[661],[1806],{"id":20,"sortIndex":21,"affiliation":1807,"properties":20},{"id":1808,"createTime":1809,"updateTime":1809,"relativeEntities":1810,"slug":1811,"properties":1812,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"6b307f1b-1077-4446-ad2d-3b2541391cd4","2024-04-09T05:31:32.520+00:00",[],"Swiss-Federal-Research-Institute-WSL-Ecosystem-Boundaries-Research-Unit-Insubric-Ecosystems-Group-Bellinzona-Switzerland",{"title":1813},{"VI":1814},"Swiss Federal Research Institute WSL, Ecosystem Boundaries Research Unit, Insubric Ecosystems Group, Bellinzona, Switzerland",{"title":1816},{"VI":1817},"M. Moretti",{"id":1819,"sortIndex":150,"researcher":20,"roles":1820,"affiliations":1821,"properties":1831},"f9fdadb9-8413-40a5-83fd-6aaa1b147e14",[661],[1822],{"id":20,"sortIndex":21,"affiliation":1823,"properties":20},{"id":1824,"createTime":1825,"updateTime":1825,"relativeEntities":1826,"slug":1827,"properties":1828,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"a88149a1-2fb6-4e18-91f4-198e3a524db3","2024-04-09T05:31:32.492+00:00",[],"Department-of-Botany-Faculty-of-Science-University-of-South-Bohemia-and-Institute-of-Entomology-Czech-Academy-of-Sciences-%C4%8Cesk%C3%A9-Bud%C4%9Bjovice-Czech-Republic",{"title":1829},{"VI":1830},"Department of Botany, Faculty of Science, University of South Bohemia, and Institute of Entomology, Czech Academy of Sciences, České Budějovice, Czech Republic",{"title":1832},{"VI":1833},"J. Lepš",{"id":1835,"sortIndex":149,"researcher":20,"roles":1836,"affiliations":1837,"properties":1847},"e983b148-505d-4903-81c2-2728513d6679",[661],[1838],{"id":20,"sortIndex":21,"affiliation":1839,"properties":20},{"id":1840,"createTime":1841,"updateTime":1841,"relativeEntities":1842,"slug":1843,"properties":1844,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"d1e211f4-c54f-478d-9b04-c09dc53d0948","2024-04-09T05:31:32.482+00:00",[],"Laboratoire-d-Ecologie-Alpine-Universit%C3%A9-Joseph-Fourier-Grenoble-France",{"title":1845},{"VI":1846},"Laboratoire d’Ecologie Alpine, Université Joseph Fourier, Grenoble, France",{"title":1848},{"VI":1849},"S. 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