Clear All Facet Fields Command
Syntax
The clear all facet fields command uses the following syntax and takes no arguments: clearAllFacetFields().
Function
The clear all facet fields command removes all facet fields from the request.
Example – Using the clear all facet fields command
This clear all facet fields command removes facet fields and leaves everything else in the query:
s.pn=3&s.ps=10&s.q=bullfrog&s.ff=ContentType,or,2,15&s.ff=SubjectTerms,and&s.cmd=clearAllFacetFields()
Example response
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Both large- and local-scale factors contribute to the outcome of invasions, and should be integrated to improve the predictions. At global scale, we used climatic and land use layers to evaluate the habitat suitability for the American bullfrog Rana catesbeiana, a major invasive species that is among the causes of amphibian decline. Environmental models were built by using Maxent, a machine learning method. Then, we integrated global data with information on richness of native communities and hunting pressure collected at the local scale. Global-scale data allowed us to delineate the areas with the highest suitability for this species. Predicted suitability was significantly related to the invasiveness observed for bullfrog populations historically introduced in Europe, but did not explain a large portion of variability in invasion success. The integration of data at the global and local scales greatly improved the performance of models, and explained > 57% of the variance in introduction success: bullfrogs were more invasive in areas with high suitability and low hunting pressure over frogs. Our study identified the climatic factors entailing the risk of invasion by bullfrogs, and stresses the importance of the integration of biotic and abiotic data collected at different spatial scales, to evaluate the areas where monitoring and management efforts need to be focused.", "Predicting the probability of successful establishment and invasion of alien species at global scale, by matching climatic and land use data, is a priority for the risk assessment. Both large- and local-scale factors contribute to the outcome of invasions, and should be integrated to improve the predictions. At global scale, we used climatic and land use layers to evaluate the habitat suitability for the American bullfrog Rana catesbeiana, a major invasive species that is among the causes of amphibian decline. Environmental models were built by using Maxent, a machine learning method. Then, we integrated global data with information on richness of native communities and hunting pressure collected at the local scale. Global-scale data allowed us to delineate the areas with the highest suitability for this species. Predicted suitability was significantly related to the invasiveness observed for bullfrog populations historically introduced in Europe, but did not explain a large portion of variability in invasion success. The integration of data at the global and local scales greatly improved the performance of models, and explained > 57% of the variance in introduction success: bullfrogs were more invasive in areas with high suitability and low hunting pressure over frogs. Our study identified the climatic factors entailing the risk of invasion by bullfrogs, and stresses the importance of the integration of biotic and abiotic data collected at different spatial scales, to evaluate the areas where monitoring and management efforts need to be focused.", "Predicting the probability of successful establishment and invasion of alien species at global scale, by matching climatic and land use data, is a priority for the risk assessment. Both large‐ and local‐scale factors contribute to the outcome of invasions, and should be integrated to improve the predictions. At global scale, we used climatic and land use layers to evaluate the habitat suitability for the American bullfrog Rana catesbeiana , a major invasive species that is among the causes of amphibian decline. Environmental models were built by using Maxent, a machine learning method. Then, we integrated global data with information on richness of native communities and hunting pressure collected at the local scale. Global‐scale data allowed us to delineate the areas with the highest suitability for this species. Predicted suitability was significantly related to the invasiveness observed for bullfrog populations historically introduced in Europe, but did not explain a large portion of variability in invasion success. The integration of data at the global and local scales greatly improved the performance of models, and explained > 57% of the variance in introduction success: bullfrogs were more invasive in areas with high suitability and low hunting pressure over frogs. Our study identified the climatic factors entailing the risk of invasion by bullfrogs, and stresses the importance of the integration of biotic and abiotic data collected at different spatial scales, to evaluate the areas where monitoring and management efforts need to be focused.", "Predicting the probability of successful establishment and invasion of alien species at global scale, by matching climatic and land use data, is a priority for the risk assessment. Both large- and local-scale factors contribute to the outcome of invasions, and should be integrated to improve the predictions. At global scale, we used climatic and land use layers to evaluate the habitat suitability for the American bullfrog Rana catesbeiana, a major invasive species that is among the causes of amphibian decline. Environmental models were built by using Maxent, a machine learning method. Then, we integrated global data with information on richness of native communities and hunting pressure collected at the local scale. Global-scale data allowed us to delineate the areas with the highest suitability for this species. Predicted suitability was significantly related to the invasiveness observed for bullfrog populations historically introduced in Europe, but did not explain a large portion of variability in invasion success. The integration of data at the global and local scales greatly improved the performance of models, and explained > 57% of the variance in introduction success: bullfrogs were more invasive in areas with high suitability and low hunting pressure over frogs. Our study identified the climatic factors entailing the risk of invasion by bullfrogs, and stresses the importance of the integration of biotic and abiotic data collected at different spatial scales, to evaluate the areas where monitoring and management efforts need to be focused." ], "Language":[ "English" ], "EISSN":[ "1472-4642" ], "Author":[ "Thuiller, Wilfried", "Miaud, Claude", "Ficetola, Gentile Francesco" ], "ISSN":[ "1366-9516" ], "PublicationCentury":[ "2000" ], "IsScholarly":[ "true" ], "PublicationDecade":[ "2000" ], "Snippet":[ ".... At global scale, we used climatic and land use layers to evaluate the habitat suitability for the American <h>bullfrog</h> Rana catesbeiana, a major invasive species that is among the causes of amphibian decline...", ".... At global scale, we used climatic and land use layers to evaluate the habitat suitability for the American <h>bullfrog</h> Rana catesbeiana , a major invasive species that is among the causes of amphibian decline..." ], "References_xml":[ { "volume":"147", "start-page":"428", "year":"2006", "end-page":"435", "article-title":"Factors affecting breeding habitat selection in a cliff‐nesting peregrine population", "publication-title":"Journal of Ornithology" }, { "volume":"40", "start-page":"249", "year":"2006", "end-page":"260", "article-title":"Introduced bullfrogs ( ) in western Canada: has their ecology diverged?", "publication-title":"Journal of Herpetology" }, { "volume":"1953", "start-page":"73", "year":"1953", "end-page":"80", "article-title":"Growth rates of some ranids under natural conditions", "publication-title":"Copeia" }, { "year":"2001" }, { "volume":"115", "start-page":"186", "year":"2006", "end-page":"191", "article-title":"Habitat, environment and niche: what are we 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States", "publication-title":"Biological Invasions" }, { "volume":"21", "start-page":"1", "year":"2002", "end-page":"25", "article-title":"A high‐resolution data set of surface climate over global land areas", "publication-title":"Climate Research" } ], "PublicationTitle":[ "Diversity and Distributions" ], "ProviderPackageCode":[ "DOOOF", "IZHOT", "GTFYD", "CBGCD", "HGD", "ADZLD", "JLS", "SWMRO", "JEB", "HQ2", "AAISJ", "JPM", "SA0", "JBS", "CUYZI", "AESBF", "JST", "HTVGU", "BSHEE", "1XC" ], "AuthorAffiliation":[ "Laboratoire d'Ecologie Alpine, UMR CNRS 5553, Université de Savoie, 73376 Le Bourget du Lac cedex, France", "Laboratoire d'Ecologie Alpine, UMR CNRS 5553, Université Joseph Fourier, Grenoble Cedex 9, France" ], "SubjectTerms":[ "human pressure", "Rana catesbeiana", "climate matching", "biological invasions", "invasion risk", "Bioclimatic modelling", "spatial scale", "Biodiversity Research", "Invasive species", "Analysis", "Life Sciences", "Biodiversity", "Environmental Sciences", "Ecology, environment", "Biodiversity and Ecology" ], "Volume":[ "13" ], "Discipline":[ "Ecology", "Environmental Sciences", "Biology" ], "ContentType":[ "Journal Article" ], "References":[ "2006; 87", "2001; 16", "2007", "2001; 51", "2004", "2006; 40", "2002", "2003", "2002; 52", "2006; 43", "2003; 500", "2004; 117", "2004; 119", "2002; 17", "2005; 8", "1970; 1970", "1969; 103", "1996; 78", "2003; 1", "1999; 80", "2005; 14", "2005; 11", "2005; 12", "2003; 9", "2006; 127", "1987", "2005; 19", "1991; 78", "2002; 417", "1998; 95", "2004; 41", "2002; 5", "2002; 8", "2000; 15", "2006; 439", "2004; 271", "2006; 26", "2006; 2", "1991; 31", "1989; 3", "2001; 38", "2006; 8", "2005; 20", "2006; 9", "1997", "2002; 269", "2006; 29", "2006; 115", "1999", "2003; 37", "2002; 21", "1975; 1975", "2004; 10", "1956; 1956", "2006; 33", "2004; 27", "2006; 148", "1953; 1953", "2006; 147", "2006; 190", "2001", "2000", "2006; 103" ], "SourceType":[ "Open Access Repository", "Aggregation Database", "Publisher" ], "Author_xml":[ { "sequence":"1", "fullname":"Ficetola, Gentile Francesco" }, { "sequence":"2", "fullname":"Thuiller, Wilfried" }, { "sequence":"3", "fullname":"Miaud, Claude" } ], "Abstract":[ "Predicting the probability of successful establishment and invasion of alien species at global scale, by matching climatic and land use data, is a priority for the risk assessment. Both large- and local-scale factors contribute to the outcome of invasions, and should be integrated to improve the predictions. At global scale, we used climatic and land use layers to evaluate the habitat suitability for the American bullfrog Rana catesbeiana, a major invasive species that is among the causes of amphibian decline. Environmental models were built by using Maxent, a machine learning method. Then, we integrated global data with information on richness of native communities and hunting pressure collected at the local scale. Global-scale data allowed us to delineate the areas with the highest suitability for this species. Predicted suitability was significantly related to the invasiveness observed for bullfrog populations historically introduced in Europe, but did not explain a large portion of variability in invasion success. The integration of data at the global and local scales greatly improved the performance of models, and explained > 57% of the variance in introduction success: bullfrogs were more invasive in areas with high suitability and low hunting pressure over frogs. Our study identified the climatic factors entailing the risk of invasion by bullfrogs, and stresses the importance of the integration of biotic and abiotic data collected at different spatial scales, to evaluate the areas where monitoring and management efforts need to be focused." ], "PublicationYear":[ "2007" ], "StartPage":[ "476" ], "Copyright_xml":[ { "notice":"Copyright 2007 Blackwell Publishing" }, { "notice":"COPYRIGHT 2007 Blackwell Publishers Ltd." }, { "notice":"Distributed under a Creative Commons Attribution 4.0 International License" } ], "SSID":[ "ssj0003352" ], "Title":[ "Prediction and validation of the potential global distribution of a problematic alien invasive species the American <h>bullfrog</h>" ], "Keywords":[ "pressure", "community", "Rana-catesbeiana", "landscape", "spatial scale", "selection", "human", "bioclimatic modelling", "habitat", "plant invasions", "environment", "Rana catesbeiana", "conservation", "climate matching", "biological invasions", "invasion risk", "united-states", "risk analysis" ], "PublicationDate":[ "July 2007", "20070701", "2007" ], "PageCount":[ "10" ], "Genre":[ "article" ], "EndPage":[ "485" ], "MergedId":[ "FETCHMERGED-LOGICAL-g2777-1ad4d28301a4217363cea3417685885bf76edba76f940d88112e15d913abf9b23" ], "Copyright":[ "Copyright 2007 Blackwell Publishing", "COPYRIGHT 2007 Blackwell Publishers Ltd.", "Distributed under a Creative Commons Attribution 4.0 International License" ], "IsPeerReviewed":[ "true" ], "Audience":[ "Academic" ], "thumbnail_m":[ "http://www.syndetics.com/index.aspx?isbn=/mc.gif&issn=1366-9516&client=summontrial" ], "thumbnail_l":[ "http://www.syndetics.com/index.aspx?isbn=/lc.gif&issn=1366-9516&client=summontrial" ], "thumbnail_s":[ "http://www.syndetics.com/index.aspx?isbn=/sc.gif&issn=1366-9516&client=summontrial" ], "Database_xml":[ { "sequence":"1", "dbid":"1XC", "name":"Hyper Article en Ligne (HAL)", "url":"https://go.openathens.net/redirector/ps.openathens.net?url=http%3A%2F%2Fhal.archives-ouvertes.fr%2F", "sourceTypes":[ "Open Access Repository" ] } ], "LinkModel":[ "DirectLink" ], "BookMark":[ "ePnHCXMwVV1RS8QwDB7ig-JfEMkPcHJbu2YDHxRPOcEHH_Q5dNftHMzbsR3HPfjjTdru0LfSJmF0oU1o8n3Jv2oZjXmqOcSdsQIV4t3xTBp-4sK5b4syKV_05mI-QaUP6DL5eR_lrUK-DzirBt75LvAMwdACh0ewG_ZSUmN7COgZ4ARsNvJEiZCFSMsi6KfA-s0Wuu3BSmU4SCsjZ6Pe0vw8AjUnfu04bK6Sz5fnj6dVGikJ0k2OiGlmnXaCmZVZzcG8MmrdWL4IUGDcy6Ju0TSutmjaSi9cWXI002SFqzJl67aqhRTpNtj9Yj_aBUAJEojn1eMb8dzkGvL8QViYg3Au3ARxuS5IfG4_2jVxjlP5WIIF7oOAj6xPFv-G9piT7LQQTspbM_8COtJy-coDVr8O6r4W86SuBa9WC5nwQ1iOjV40fdu-Z0eZiE81cq6brQaE0jhYaGK_9zPqF1p-mqA" ], "DatabaseName":[ "Academic OneFile (A&I only)", "Hyper Article en Ligne (HAL)" ] }, { "hasFullText":false, "isFullTextHit":false, "isPrint":false, "inHoldings":false, "openUrl":"ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=bookitem&rft.title=Reptiles+and+Amphibians&rft.atitle=Bullfrogs&rft.date=2011-01-01&rft.spage=209&rft.epage=210&rft.externalDocID=4171300146", "link":"http://demo.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwY2AQA7aRSnSR5l91gU1W8GBAsKOpS7iFLzCGmRhhy9YRYjSNW6AYMHZBe2VJiF-4oUABIBsYy0ASGM9AEq0JjDrYCj0oFpjnc1IhJy07AqMGtAUEOgIH26QC7GWmFeWno_TwwfvcYD18aKliYIlUQRlB14GiHhNtYmgOmpkCFnzMwFYi9KhPcHVkYmRuALoMiAW63M8YWkeECDJwwk-zFWJgSs0TZmCPygeP5oswCNhk2MHdZ6OfYSfKIOXmGuLsoQsyJr6sKCceYaWBBIOCcYp5mqVxUqJhSlKiSUpKokWqmVGikUFaErBLl2SZaizJIIxFpxRWUWkGLkRAyDCwpgGjKlWWgSUlNTcfANF5uFY", "ExternalDocumentID":[ "4171300146" ], "IngestDate":[ "Tue Oct 17 20:45:37 EDT 2017" ], "PublicationDate_xml":[ { "year":"2011", "text":"20110000" } ], "Score":[ "25.517933" ], "ID":[ "FETCH-gale_vrl_41713001460" ], "Language":[ "English" ], "PublicationCentury":[ "2000" ], "IsScholarly":[ "false" ], "PublicationDecade":[ "2010" ], "Snippet":[ "...<h>Bullfrogs</h> ( ) are semiaquatic frogs in family Ranidae named for their loud call. 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