Radical pruning of distribution data may result in loss of knowledge (Response to Larsen & Shirey)
Larsen & Shirey (2020) criticised our analysis of latitudinal changes in butterfly phenology on the grounds of improper data management. We admit some imprecisions, but show that stringent reanalyses did not change the overall results. We also show that unreasonable treatment of data may result...
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Veröffentlicht in: | Ecology letters 2021-06, Vol.24 (6), p.1290-1292 |
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creator | Faltýnek Fric, Zdeněk Rindoš, Michal Konvička, Martin Ezenwa, Vanessa |
description | Larsen & Shirey (2020) criticised our analysis of latitudinal changes in butterfly phenology on the grounds of improper data management. We admit some imprecisions, but show that stringent reanalyses did not change the overall results. We also show that unreasonable treatment of data may result in critical information loss.
Amending Figure 2 from Larsen & Shirey (2020), refuting the claim that pruning of the data used by Fric et al. (2020) results in different proportions of butterfly phenological patterns (Onset – top, Termination – bottom) responses (Advanced – violet, Stable – grey, Postponed – green) to latitude. “Reanalysis” are new results by us, obtained by following the procedure reported for “Larsen”. It is evident that the results are superficially congruent to “Fric1” and that a mistake had to have happened, either in the phase of calculations or during figure preparation. |
doi_str_mv | 10.1111/ele.13739 |
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Amending Figure 2 from Larsen & Shirey (2020), refuting the claim that pruning of the data used by Fric et al. (2020) results in different proportions of butterfly phenological patterns (Onset – top, Termination – bottom) responses (Advanced – violet, Stable – grey, Postponed – green) to latitude. “Reanalysis” are new results by us, obtained by following the procedure reported for “Larsen”. It is evident that the results are superficially congruent to “Fric1” and that a mistake had to have happened, either in the phase of calculations or during figure preparation.</description><identifier>ISSN: 1461-023X</identifier><identifier>EISSN: 1461-0248</identifier><identifier>DOI: 10.1111/ele.13739</identifier><identifier>PMID: 33756000</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Animals ; Butterflies ; Climate Change ; Data management ; Data quality ; GBIF ; latitude ; Lepidoptera ; phenology ; Rhopalocera ; Seasons ; spatial bias</subject><ispartof>Ecology letters, 2021-06, Vol.24 (6), p.1290-1292</ispartof><rights>2021 John Wiley & Sons Ltd.</rights><rights>Copyright © 2021 John Wiley & Sons Ltd/CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3539-1e8cc1be4879f6728686bf3fb164d7d86603bb347fbfb68b05c2ab0c31151cf03</citedby><cites>FETCH-LOGICAL-c3539-1e8cc1be4879f6728686bf3fb164d7d86603bb347fbfb68b05c2ab0c31151cf03</cites><orcidid>0000-0002-3611-8022</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fele.13739$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fele.13739$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33756000$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ezenwa, Vanessa</contributor><creatorcontrib>Faltýnek Fric, Zdeněk</creatorcontrib><creatorcontrib>Rindoš, Michal</creatorcontrib><creatorcontrib>Konvička, Martin</creatorcontrib><creatorcontrib>Ezenwa, Vanessa</creatorcontrib><title>Radical pruning of distribution data may result in loss of knowledge (Response to Larsen & Shirey)</title><title>Ecology letters</title><addtitle>Ecol Lett</addtitle><description>Larsen & Shirey (2020) criticised our analysis of latitudinal changes in butterfly phenology on the grounds of improper data management. We admit some imprecisions, but show that stringent reanalyses did not change the overall results. We also show that unreasonable treatment of data may result in critical information loss.
Amending Figure 2 from Larsen & Shirey (2020), refuting the claim that pruning of the data used by Fric et al. (2020) results in different proportions of butterfly phenological patterns (Onset – top, Termination – bottom) responses (Advanced – violet, Stable – grey, Postponed – green) to latitude. “Reanalysis” are new results by us, obtained by following the procedure reported for “Larsen”. It is evident that the results are superficially congruent to “Fric1” and that a mistake had to have happened, either in the phase of calculations or during figure preparation.</description><subject>Animals</subject><subject>Butterflies</subject><subject>Climate Change</subject><subject>Data management</subject><subject>Data quality</subject><subject>GBIF</subject><subject>latitude</subject><subject>Lepidoptera</subject><subject>phenology</subject><subject>Rhopalocera</subject><subject>Seasons</subject><subject>spatial bias</subject><issn>1461-023X</issn><issn>1461-0248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10MtKAzEUBuAgipfqwheQgCB2UU0mM8l0KaVeoCB4AXdDkjnRaJrUZAbp25tadSGYTbL4-M_Jj9AhJWc0n3NwcEaZYOMNtEtLTkekKOvN3zd72kF7Kb0SQouxoNtohzFRcULILlJ3srVaOryIvbf-GQeDW5u6aFXf2eBxKzuJ53KJI6Teddh67EJKK_fmw4eD9hnw6R2kRfAJcBfwTMYEHp_g-xcbYTncR1tGugQH3_cAPV5OHybXo9nt1c3kYjbSrGLjEYVaa6qgrMXYcFHUvObKMKMoL1vR1pwTphQrhVFG8VqRShdSEc0orag2hA3Q6Tp3EcN7D6lr5jZpcE56CH1qioqUQpS0qjM9_kNfQx993i6rPJmVVKzUcK10zD-OYJpFtHMZlw0lzar4JhfffBWf7dF3Yq_m0P7Kn6YzOF-DD-tg-X9SM51N15GfA6KLgg</recordid><startdate>202106</startdate><enddate>202106</enddate><creator>Faltýnek Fric, Zdeněk</creator><creator>Rindoš, Michal</creator><creator>Konvička, Martin</creator><creator>Ezenwa, Vanessa</creator><general>Blackwell Publishing Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7SS</scope><scope>7U9</scope><scope>C1K</scope><scope>H94</scope><scope>M7N</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3611-8022</orcidid></search><sort><creationdate>202106</creationdate><title>Radical pruning of distribution data may result in loss of knowledge (Response to Larsen & Shirey)</title><author>Faltýnek Fric, Zdeněk ; Rindoš, Michal ; Konvička, Martin ; Ezenwa, Vanessa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3539-1e8cc1be4879f6728686bf3fb164d7d86603bb347fbfb68b05c2ab0c31151cf03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Animals</topic><topic>Butterflies</topic><topic>Climate Change</topic><topic>Data management</topic><topic>Data quality</topic><topic>GBIF</topic><topic>latitude</topic><topic>Lepidoptera</topic><topic>phenology</topic><topic>Rhopalocera</topic><topic>Seasons</topic><topic>spatial bias</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Faltýnek Fric, Zdeněk</creatorcontrib><creatorcontrib>Rindoš, Michal</creatorcontrib><creatorcontrib>Konvička, Martin</creatorcontrib><creatorcontrib>Ezenwa, Vanessa</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>MEDLINE - Academic</collection><jtitle>Ecology letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Faltýnek Fric, Zdeněk</au><au>Rindoš, Michal</au><au>Konvička, Martin</au><au>Ezenwa, Vanessa</au><au>Ezenwa, Vanessa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Radical pruning of distribution data may result in loss of knowledge (Response to Larsen & Shirey)</atitle><jtitle>Ecology letters</jtitle><addtitle>Ecol Lett</addtitle><date>2021-06</date><risdate>2021</risdate><volume>24</volume><issue>6</issue><spage>1290</spage><epage>1292</epage><pages>1290-1292</pages><issn>1461-023X</issn><eissn>1461-0248</eissn><abstract>Larsen & Shirey (2020) criticised our analysis of latitudinal changes in butterfly phenology on the grounds of improper data management. We admit some imprecisions, but show that stringent reanalyses did not change the overall results. We also show that unreasonable treatment of data may result in critical information loss.
Amending Figure 2 from Larsen & Shirey (2020), refuting the claim that pruning of the data used by Fric et al. (2020) results in different proportions of butterfly phenological patterns (Onset – top, Termination – bottom) responses (Advanced – violet, Stable – grey, Postponed – green) to latitude. “Reanalysis” are new results by us, obtained by following the procedure reported for “Larsen”. It is evident that the results are superficially congruent to “Fric1” and that a mistake had to have happened, either in the phase of calculations or during figure preparation.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>33756000</pmid><doi>10.1111/ele.13739</doi><tpages>3</tpages><orcidid>https://orcid.org/0000-0002-3611-8022</orcidid></addata></record> |
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subjects | Animals Butterflies Climate Change Data management Data quality GBIF latitude Lepidoptera phenology Rhopalocera Seasons spatial bias |
title | Radical pruning of distribution data may result in loss of knowledge (Response to Larsen & Shirey) |
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