Spatial heterogeneity of Anastrepha ludens populations over a large citrus region including a sterile insect release area in northeastern Mexico
We analyzed Anastrepha ludens (Loew) (Diptera: Tephritidae) populations for 2 years (2008–2009) over the most important area of citrus-growing in Tamaulipas, Mexico. This study aimed to characterize the spatial heterogeneity of A. ludens populations between areas with and without the release of ster...
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| Veröffentlicht in: | Precision agriculture 2017-10, Vol.18 (5), p.843-858 |
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| creator | Vanoye-Eligio, V. Barrientos-Lozano, Ludivina Mora-Olivo, A. Sánchez-Ramos, G. Chacón-Hernández, J. C. |
| description | We analyzed
Anastrepha ludens
(Loew) (Diptera: Tephritidae) populations for 2 years (2008–2009) over the most important area of citrus-growing in Tamaulipas, Mexico. This study aimed to characterize the spatial heterogeneity of
A. ludens
populations between areas with and without the release of sterile flies. The analyses include high populations of the pest during two periods per year: Valencia orange and grapefruit production. Populations were spatially characterized by using the geostatistical method indicator kriging integrated to a geographic information system. Through indicators as the upper quartile, the spatial-variation of the populations was ranked into four categories of probability to exceed the settled threshold: 0–25, 25–50, 50–75, 75–100%. Models indicated that spatial heterogeneity of
A. ludens
between 2008 and 2009 showed changes according to the citrus production period. In 2008, spatial distribution was more homogeneous across the region, but in 2009 in spite of higher populations than in 2008, a spatial heterogeneity was observed for the two periods of citrus production. Probability tendencies of high densities (>50%) of the pest were observed towards the west, while eastwards, where the release area was located, lower probability ( |
| doi_str_mv | 10.1007/s11119-016-9493-2 |
| format | Article |
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Anastrepha ludens
(Loew) (Diptera: Tephritidae) populations for 2 years (2008–2009) over the most important area of citrus-growing in Tamaulipas, Mexico. This study aimed to characterize the spatial heterogeneity of
A. ludens
populations between areas with and without the release of sterile flies. The analyses include high populations of the pest during two periods per year: Valencia orange and grapefruit production. Populations were spatially characterized by using the geostatistical method indicator kriging integrated to a geographic information system. Through indicators as the upper quartile, the spatial-variation of the populations was ranked into four categories of probability to exceed the settled threshold: 0–25, 25–50, 50–75, 75–100%. Models indicated that spatial heterogeneity of
A. ludens
between 2008 and 2009 showed changes according to the citrus production period. In 2008, spatial distribution was more homogeneous across the region, but in 2009 in spite of higher populations than in 2008, a spatial heterogeneity was observed for the two periods of citrus production. Probability tendencies of high densities (>50%) of the pest were observed towards the west, while eastwards, where the release area was located, lower probability (<50%) was indicated. A more homogeneous density level of the pest was plotted on the release area in 2009, in contrast with the area without sterile fly release. This contribution supports an impact of the sterile insect technique and promotes use of spatial analysis tools for analyzing pest populations at regional scale in northeastern Mexico.</description><identifier>ISSN: 1385-2256</identifier><identifier>EISSN: 1573-1618</identifier><identifier>DOI: 10.1007/s11119-016-9493-2</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Agriculture ; Atmospheric Sciences ; Biomedical and Life Sciences ; Chemistry and Earth Sciences ; Citrus fruits ; Computer Science ; Fruits ; Geographic information systems ; Geostatistics ; Global positioning systems ; GPS ; Grapefruit ; Heterogeneity ; Information systems ; Insects ; Kriging interpolation ; Life Sciences ; Pests ; Physics ; Population density ; Populations ; Regional analysis ; Remote sensing ; Remote Sensing/Photogrammetry ; Soil Science & Conservation ; Spatial analysis ; Spatial distribution ; Spatial heterogeneity ; Statistics for Engineering</subject><ispartof>Precision agriculture, 2017-10, Vol.18 (5), p.843-858</ispartof><rights>Springer Science+Business Media New York 2016</rights><rights>Precision Agriculture is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-d0ff4b0e4ad148b6b2a2b51b358226198e24ae17972f73559d265923b452a073</citedby><cites>FETCH-LOGICAL-c316t-d0ff4b0e4ad148b6b2a2b51b358226198e24ae17972f73559d265923b452a073</cites><orcidid>0000-0001-5370-4667</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11119-016-9493-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11119-016-9493-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,41493,42562,51324</link.rule.ids></links><search><creatorcontrib>Vanoye-Eligio, V.</creatorcontrib><creatorcontrib>Barrientos-Lozano, Ludivina</creatorcontrib><creatorcontrib>Mora-Olivo, A.</creatorcontrib><creatorcontrib>Sánchez-Ramos, G.</creatorcontrib><creatorcontrib>Chacón-Hernández, J. C.</creatorcontrib><title>Spatial heterogeneity of Anastrepha ludens populations over a large citrus region including a sterile insect release area in northeastern Mexico</title><title>Precision agriculture</title><addtitle>Precision Agric</addtitle><description>We analyzed
Anastrepha ludens
(Loew) (Diptera: Tephritidae) populations for 2 years (2008–2009) over the most important area of citrus-growing in Tamaulipas, Mexico. This study aimed to characterize the spatial heterogeneity of
A. ludens
populations between areas with and without the release of sterile flies. The analyses include high populations of the pest during two periods per year: Valencia orange and grapefruit production. Populations were spatially characterized by using the geostatistical method indicator kriging integrated to a geographic information system. Through indicators as the upper quartile, the spatial-variation of the populations was ranked into four categories of probability to exceed the settled threshold: 0–25, 25–50, 50–75, 75–100%. Models indicated that spatial heterogeneity of
A. ludens
between 2008 and 2009 showed changes according to the citrus production period. In 2008, spatial distribution was more homogeneous across the region, but in 2009 in spite of higher populations than in 2008, a spatial heterogeneity was observed for the two periods of citrus production. Probability tendencies of high densities (>50%) of the pest were observed towards the west, while eastwards, where the release area was located, lower probability (<50%) was indicated. A more homogeneous density level of the pest was plotted on the release area in 2009, in contrast with the area without sterile fly release. This contribution supports an impact of the sterile insect technique and promotes use of spatial analysis tools for analyzing pest populations at regional scale in northeastern Mexico.</description><subject>Agriculture</subject><subject>Atmospheric Sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Chemistry and Earth Sciences</subject><subject>Citrus fruits</subject><subject>Computer Science</subject><subject>Fruits</subject><subject>Geographic information systems</subject><subject>Geostatistics</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Grapefruit</subject><subject>Heterogeneity</subject><subject>Information systems</subject><subject>Insects</subject><subject>Kriging interpolation</subject><subject>Life Sciences</subject><subject>Pests</subject><subject>Physics</subject><subject>Population density</subject><subject>Populations</subject><subject>Regional analysis</subject><subject>Remote sensing</subject><subject>Remote Sensing/Photogrammetry</subject><subject>Soil Science & Conservation</subject><subject>Spatial analysis</subject><subject>Spatial distribution</subject><subject>Spatial heterogeneity</subject><subject>Statistics for Engineering</subject><issn>1385-2256</issn><issn>1573-1618</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kM1OwzAQhCMEEqXwANwscQ74J07iY1XxJxVxoHfLSTZpqmAH20H0LXhktgoHLvji1ew3s9IkyTWjt4zS4i4wfCqlLE9VpkTKT5IFk4VIWc7KU5xFKVPOZX6eXISwpxRdGV8k32-jib0ZyA4ieNeBhT4eiGvJypoQPYw7Q4apARvI6MZpQNrh7D7BE9wY3wGp--inQDx0uCO9rdHQ2w73AUP7AVALUEckBjABiPFgUCPW-bhDBSlLXuCrr91lctaaIcDV779Mtg_32_VTunl9fF6vNmktWB7ThrZtVlHITMOyssorbnglWSVkyXnOVAk8M8AKVfC2EFKqhudScVFlkhtaiGVyM8eO3n1MEKLeu8lbvKiZEgoDeFEixWaq9i4ED60eff9u_EEzqo-967l3jb3rY--ao4fPnoCs7cD_Sf7X9AOmaYf5</recordid><startdate>20171001</startdate><enddate>20171001</enddate><creator>Vanoye-Eligio, V.</creator><creator>Barrientos-Lozano, Ludivina</creator><creator>Mora-Olivo, A.</creator><creator>Sánchez-Ramos, G.</creator><creator>Chacón-Hernández, J. C.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X2</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>M0K</scope><scope>M2P</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-5370-4667</orcidid></search><sort><creationdate>20171001</creationdate><title>Spatial heterogeneity of Anastrepha ludens populations over a large citrus region including a sterile insect release area in northeastern Mexico</title><author>Vanoye-Eligio, V. ; Barrientos-Lozano, Ludivina ; Mora-Olivo, A. ; Sánchez-Ramos, G. ; Chacón-Hernández, J. C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-d0ff4b0e4ad148b6b2a2b51b358226198e24ae17972f73559d265923b452a073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Agriculture</topic><topic>Atmospheric Sciences</topic><topic>Biomedical and Life Sciences</topic><topic>Chemistry and Earth Sciences</topic><topic>Citrus fruits</topic><topic>Computer Science</topic><topic>Fruits</topic><topic>Geographic information systems</topic><topic>Geostatistics</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Grapefruit</topic><topic>Heterogeneity</topic><topic>Information systems</topic><topic>Insects</topic><topic>Kriging interpolation</topic><topic>Life Sciences</topic><topic>Pests</topic><topic>Physics</topic><topic>Population density</topic><topic>Populations</topic><topic>Regional analysis</topic><topic>Remote sensing</topic><topic>Remote Sensing/Photogrammetry</topic><topic>Soil Science & Conservation</topic><topic>Spatial analysis</topic><topic>Spatial distribution</topic><topic>Spatial heterogeneity</topic><topic>Statistics for Engineering</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vanoye-Eligio, V.</creatorcontrib><creatorcontrib>Barrientos-Lozano, Ludivina</creatorcontrib><creatorcontrib>Mora-Olivo, A.</creatorcontrib><creatorcontrib>Sánchez-Ramos, G.</creatorcontrib><creatorcontrib>Chacón-Hernández, J. C.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Agricultural Science Database</collection><collection>Science Database (ProQuest)</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Precision agriculture</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vanoye-Eligio, V.</au><au>Barrientos-Lozano, Ludivina</au><au>Mora-Olivo, A.</au><au>Sánchez-Ramos, G.</au><au>Chacón-Hernández, J. C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial heterogeneity of Anastrepha ludens populations over a large citrus region including a sterile insect release area in northeastern Mexico</atitle><jtitle>Precision agriculture</jtitle><stitle>Precision Agric</stitle><date>2017-10-01</date><risdate>2017</risdate><volume>18</volume><issue>5</issue><spage>843</spage><epage>858</epage><pages>843-858</pages><issn>1385-2256</issn><eissn>1573-1618</eissn><abstract>We analyzed
Anastrepha ludens
(Loew) (Diptera: Tephritidae) populations for 2 years (2008–2009) over the most important area of citrus-growing in Tamaulipas, Mexico. This study aimed to characterize the spatial heterogeneity of
A. ludens
populations between areas with and without the release of sterile flies. The analyses include high populations of the pest during two periods per year: Valencia orange and grapefruit production. Populations were spatially characterized by using the geostatistical method indicator kriging integrated to a geographic information system. Through indicators as the upper quartile, the spatial-variation of the populations was ranked into four categories of probability to exceed the settled threshold: 0–25, 25–50, 50–75, 75–100%. Models indicated that spatial heterogeneity of
A. ludens
between 2008 and 2009 showed changes according to the citrus production period. In 2008, spatial distribution was more homogeneous across the region, but in 2009 in spite of higher populations than in 2008, a spatial heterogeneity was observed for the two periods of citrus production. Probability tendencies of high densities (>50%) of the pest were observed towards the west, while eastwards, where the release area was located, lower probability (<50%) was indicated. A more homogeneous density level of the pest was plotted on the release area in 2009, in contrast with the area without sterile fly release. This contribution supports an impact of the sterile insect technique and promotes use of spatial analysis tools for analyzing pest populations at regional scale in northeastern Mexico.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11119-016-9493-2</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0001-5370-4667</orcidid></addata></record> |
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| source | SpringerNature Journals |
| subjects | Agriculture Atmospheric Sciences Biomedical and Life Sciences Chemistry and Earth Sciences Citrus fruits Computer Science Fruits Geographic information systems Geostatistics Global positioning systems GPS Grapefruit Heterogeneity Information systems Insects Kriging interpolation Life Sciences Pests Physics Population density Populations Regional analysis Remote sensing Remote Sensing/Photogrammetry Soil Science & Conservation Spatial analysis Spatial distribution Spatial heterogeneity Statistics for Engineering |
| title | Spatial heterogeneity of Anastrepha ludens populations over a large citrus region including a sterile insect release area in northeastern Mexico |
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