Model thresholds are more important than presence location type: Understanding the distribution of lowland tapir (Tapirus terrestris) in a continuous Atlantic forest of southeast Brazil
Modeling the distribution of rare and endangered species is challenging, and there is substantial debate regarding what species distribution models (SDMs) actually represent. Here I investigated whether locations of different lowland tapir signs (feces, trails and tracks) generated different distrib...
Gespeichert in:
Veröffentlicht in: | Tropical Conservation Science 2014-09, Vol.7 (3), p.529-547 |
---|---|
1. Verfasser: | |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 547 |
---|---|
container_issue | 3 |
container_start_page | 529 |
container_title | Tropical Conservation Science |
container_volume | 7 |
creator | Norris, Darren |
description | Modeling the distribution of rare and endangered species is challenging, and there is substantial debate regarding what species distribution models (SDMs) actually represent. Here I investigated whether locations of different lowland tapir signs (feces, trails and tracks) generated different distributions of suitable habitat using a presence-only species distribution modeling technique. Comparison of the equivalence and overlap of the predicted distributions showed no significant differences between the different signs. The contribution of the 11 variables used to build the distribution models was also similar between signs. Although predictions from different signs were similar, the use of different threshold selection methods generated substantially different suitable areas and omission errors. These results highlight the importance of a fundamental understanding of species natural history to determine not only appropriate model parameters, but also the biological relevance of SDMs. My findings also support the need for healthy skepticism regarding what is represented by presence-only species distributions. To help address this skepticism I conclude by providing guidelines for generating reliable local-scale distribution models. |
doi_str_mv | 10.1177/194008291400700311 |
format | Article |
fullrecord | <record><control><sourceid>sage_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1177_194008291400700311</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_194008291400700311</sage_id><sourcerecordid>10.1177_194008291400700311</sourcerecordid><originalsourceid>FETCH-LOGICAL-b489t-79a03a8e0b471f9cd334ce05b77374e103566d87eccaf55dba1730b0b92b70b73</originalsourceid><addsrcrecordid>eNqNkE1OwzAQhS0EEqVwAVZewiLUjpO4YVcq_qQiNu06sp1J6yq1I9sRKjfjdjiUBRISYuPxzPveszUIXVJyQynnE1pmhEzTksbCCWGUHqHRMEyG6fGP-yk6835LSJGWBR-hjxdbQ4vDxoHf2Lb2WDjAOxsPveusC8KEqAqDu0iAUYBbq0TQ1uCw7-AWr0wNzkeu1mYdUcC19sFp2X9BtomGtzbKOIhOO3y1HErvcQAXIyPpr7E2WGBlTdCmt1GbhegIWuHGDsyQ4m0fw0Vs7px41-05OmlE6-Hiu47R6uF-OX9KFq-Pz_PZIpHZtAwJLwVhYgpEZpw2paoZyxSQXHLOeAaUsLwo6ikHpUST57UUlDMiiSxTyYnkbIzSQ65y1nsHTdU5vRNuX1FSDcuvfi8_miYHkxdrqLa2dyb-8W8HOTikttbAfx75BGYOl9g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Model thresholds are more important than presence location type: Understanding the distribution of lowland tapir (Tapirus terrestris) in a continuous Atlantic forest of southeast Brazil</title><source>Sage Journals GOLD Open Access 2024</source><source>BioOne Open Access Titles</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Norris, Darren</creator><creatorcontrib>Norris, Darren</creatorcontrib><description>Modeling the distribution of rare and endangered species is challenging, and there is substantial debate regarding what species distribution models (SDMs) actually represent. Here I investigated whether locations of different lowland tapir signs (feces, trails and tracks) generated different distributions of suitable habitat using a presence-only species distribution modeling technique. Comparison of the equivalence and overlap of the predicted distributions showed no significant differences between the different signs. The contribution of the 11 variables used to build the distribution models was also similar between signs. Although predictions from different signs were similar, the use of different threshold selection methods generated substantially different suitable areas and omission errors. These results highlight the importance of a fundamental understanding of species natural history to determine not only appropriate model parameters, but also the biological relevance of SDMs. My findings also support the need for healthy skepticism regarding what is represented by presence-only species distributions. To help address this skepticism I conclude by providing guidelines for generating reliable local-scale distribution models.</description><identifier>ISSN: 1940-0829</identifier><identifier>EISSN: 1940-0829</identifier><identifier>DOI: 10.1177/194008291400700311</identifier><language>eng</language><publisher>Sage CA: Los Angeles, CA: SAGE Publications</publisher><subject>adequacão do habitat ; Atlantic Forest ; habitat suitability ; Mata Atlântica ; MaxEnt ; modelagem da distribução de espécies ; species distribution modeling ; Tapirus terrestris</subject><ispartof>Tropical Conservation Science, 2014-09, Vol.7 (3), p.529-547</ispartof><rights>2014 Darren Norris. This is an open access paper. We use the Creative Commons Attribution 4.0 license http://creativecommons.org/licenses/by/4.0/us/. The license permits any user to download, print out, extract, archive, and distribute the article, so long as appropriate credit is given to the authors and source of the work. The license ensures that the published article will be as widely available as possible and that your article can be included in any scientific archive. Open Access authors retain the copyrights of their papers. Open access is a property of individual works, not necessarily journals or publishers.</rights><rights>2014 Darren Norris.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b489t-79a03a8e0b471f9cd334ce05b77374e103566d87eccaf55dba1730b0b92b70b73</citedby><cites>FETCH-LOGICAL-b489t-79a03a8e0b471f9cd334ce05b77374e103566d87eccaf55dba1730b0b92b70b73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://bioone.org/doi/pdf/10.1177/194008291400700311$$EPDF$$P50$$Gbioone$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/194008291400700311$$EHTML$$P50$$Gsage$$Hfree_for_read</linktohtml><link.rule.ids>109,313,314,780,784,792,21966,27853,27922,27924,27925,44945,45333,52719</link.rule.ids></links><search><creatorcontrib>Norris, Darren</creatorcontrib><title>Model thresholds are more important than presence location type: Understanding the distribution of lowland tapir (Tapirus terrestris) in a continuous Atlantic forest of southeast Brazil</title><title>Tropical Conservation Science</title><description>Modeling the distribution of rare and endangered species is challenging, and there is substantial debate regarding what species distribution models (SDMs) actually represent. Here I investigated whether locations of different lowland tapir signs (feces, trails and tracks) generated different distributions of suitable habitat using a presence-only species distribution modeling technique. Comparison of the equivalence and overlap of the predicted distributions showed no significant differences between the different signs. The contribution of the 11 variables used to build the distribution models was also similar between signs. Although predictions from different signs were similar, the use of different threshold selection methods generated substantially different suitable areas and omission errors. These results highlight the importance of a fundamental understanding of species natural history to determine not only appropriate model parameters, but also the biological relevance of SDMs. My findings also support the need for healthy skepticism regarding what is represented by presence-only species distributions. To help address this skepticism I conclude by providing guidelines for generating reliable local-scale distribution models.</description><subject>adequacão do habitat</subject><subject>Atlantic Forest</subject><subject>habitat suitability</subject><subject>Mata Atlântica</subject><subject>MaxEnt</subject><subject>modelagem da distribução de espécies</subject><subject>species distribution modeling</subject><subject>Tapirus terrestris</subject><issn>1940-0829</issn><issn>1940-0829</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>AFRWT</sourceid><recordid>eNqNkE1OwzAQhS0EEqVwAVZewiLUjpO4YVcq_qQiNu06sp1J6yq1I9sRKjfjdjiUBRISYuPxzPveszUIXVJyQynnE1pmhEzTksbCCWGUHqHRMEyG6fGP-yk6835LSJGWBR-hjxdbQ4vDxoHf2Lb2WDjAOxsPveusC8KEqAqDu0iAUYBbq0TQ1uCw7-AWr0wNzkeu1mYdUcC19sFp2X9BtomGtzbKOIhOO3y1HErvcQAXIyPpr7E2WGBlTdCmt1GbhegIWuHGDsyQ4m0fw0Vs7px41-05OmlE6-Hiu47R6uF-OX9KFq-Pz_PZIpHZtAwJLwVhYgpEZpw2paoZyxSQXHLOeAaUsLwo6ikHpUST57UUlDMiiSxTyYnkbIzSQ65y1nsHTdU5vRNuX1FSDcuvfi8_miYHkxdrqLa2dyb-8W8HOTikttbAfx75BGYOl9g</recordid><startdate>20140901</startdate><enddate>20140901</enddate><creator>Norris, Darren</creator><general>SAGE Publications</general><scope>AFRWT</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20140901</creationdate><title>Model thresholds are more important than presence location type: Understanding the distribution of lowland tapir (Tapirus terrestris) in a continuous Atlantic forest of southeast Brazil</title><author>Norris, Darren</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b489t-79a03a8e0b471f9cd334ce05b77374e103566d87eccaf55dba1730b0b92b70b73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>adequacão do habitat</topic><topic>Atlantic Forest</topic><topic>habitat suitability</topic><topic>Mata Atlântica</topic><topic>MaxEnt</topic><topic>modelagem da distribução de espécies</topic><topic>species distribution modeling</topic><topic>Tapirus terrestris</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Norris, Darren</creatorcontrib><collection>Sage Journals GOLD Open Access 2024</collection><collection>CrossRef</collection><jtitle>Tropical Conservation Science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Norris, Darren</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Model thresholds are more important than presence location type: Understanding the distribution of lowland tapir (Tapirus terrestris) in a continuous Atlantic forest of southeast Brazil</atitle><jtitle>Tropical Conservation Science</jtitle><date>2014-09-01</date><risdate>2014</risdate><volume>7</volume><issue>3</issue><spage>529</spage><epage>547</epage><pages>529-547</pages><issn>1940-0829</issn><eissn>1940-0829</eissn><abstract>Modeling the distribution of rare and endangered species is challenging, and there is substantial debate regarding what species distribution models (SDMs) actually represent. Here I investigated whether locations of different lowland tapir signs (feces, trails and tracks) generated different distributions of suitable habitat using a presence-only species distribution modeling technique. Comparison of the equivalence and overlap of the predicted distributions showed no significant differences between the different signs. The contribution of the 11 variables used to build the distribution models was also similar between signs. Although predictions from different signs were similar, the use of different threshold selection methods generated substantially different suitable areas and omission errors. These results highlight the importance of a fundamental understanding of species natural history to determine not only appropriate model parameters, but also the biological relevance of SDMs. My findings also support the need for healthy skepticism regarding what is represented by presence-only species distributions. To help address this skepticism I conclude by providing guidelines for generating reliable local-scale distribution models.</abstract><cop>Sage CA: Los Angeles, CA</cop><pub>SAGE Publications</pub><doi>10.1177/194008291400700311</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1940-0829 |
ispartof | Tropical Conservation Science, 2014-09, Vol.7 (3), p.529-547 |
issn | 1940-0829 1940-0829 |
language | eng |
recordid | cdi_crossref_primary_10_1177_194008291400700311 |
source | Sage Journals GOLD Open Access 2024; BioOne Open Access Titles; EZB-FREE-00999 freely available EZB journals |
subjects | adequacão do habitat Atlantic Forest habitat suitability Mata Atlântica MaxEnt modelagem da distribução de espécies species distribution modeling Tapirus terrestris |
title | Model thresholds are more important than presence location type: Understanding the distribution of lowland tapir (Tapirus terrestris) in a continuous Atlantic forest of southeast Brazil |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T13%3A19%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-sage_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Model%20thresholds%20are%20more%20important%20than%20presence%20location%20type:%20Understanding%20the%20distribution%20of%20lowland%20tapir%20(Tapirus%20terrestris)%20in%20a%20continuous%20Atlantic%20forest%20of%20southeast%20Brazil&rft.jtitle=Tropical%20Conservation%20Science&rft.au=Norris,%20Darren&rft.date=2014-09-01&rft.volume=7&rft.issue=3&rft.spage=529&rft.epage=547&rft.pages=529-547&rft.issn=1940-0829&rft.eissn=1940-0829&rft_id=info:doi/10.1177/194008291400700311&rft_dat=%3Csage_cross%3E10.1177_194008291400700311%3C/sage_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_sage_id=10.1177_194008291400700311&rfr_iscdi=true |