Spatial and temporal dynamics of Apera spica-venti seedling populations
Apera spica-venti is an important weed problem in winter cereals in Europe. Spatial and temporal dynamics of A. spica-venti were investigated to test the hypothesis that this species has a spatially aggregated distribution. A. spica-venti distribution was quantified over several crop rotation sequen...
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| Veröffentlicht in: | Crop protection 2009-10, Vol.28 (10), p.831-837 |
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| creator | Nordmeyer, H. |
| description | Apera spica-venti is an important weed problem in winter cereals in Europe. Spatial and temporal dynamics of
A. spica-venti were investigated to test the hypothesis that this species has a spatially aggregated distribution.
A. spica-venti distribution was quantified over several crop rotation sequences in three commercial fields. From 1999 to 2006, the spatial pattern of
A. spica-venti was sampled yearly at the same grid points. Geostatistical techniques were used to characterise the spatial and temporal variability of
A. spica-venti density. The spatial pattern was analysed by Lloyd's index of patchiness. From year to year, differing aggregation of
A. spica-venti resulted in weed patchiness. The Spearman Rank Correlation Coefficient (
r
s) was used to discover the strength of
A. spica-venti occurrence in several years. For two sites there were significant correlations of weed occurrence between years but the relationship was less strong for the third field. Based on rank correlation coefficients, the temporal dynamics were marked by an overall continuity of distribution patterns. Knowing that spatial distributions of weeds vary little in time can reduce sampling efforts, and increases feasibility of site-specific weed control. |
| doi_str_mv | 10.1016/j.cropro.2009.06.006 |
| format | Article |
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A. spica-venti were investigated to test the hypothesis that this species has a spatially aggregated distribution.
A. spica-venti distribution was quantified over several crop rotation sequences in three commercial fields. From 1999 to 2006, the spatial pattern of
A. spica-venti was sampled yearly at the same grid points. Geostatistical techniques were used to characterise the spatial and temporal variability of
A. spica-venti density. The spatial pattern was analysed by Lloyd's index of patchiness. From year to year, differing aggregation of
A. spica-venti resulted in weed patchiness. The Spearman Rank Correlation Coefficient (
r
s) was used to discover the strength of
A. spica-venti occurrence in several years. For two sites there were significant correlations of weed occurrence between years but the relationship was less strong for the third field. Based on rank correlation coefficients, the temporal dynamics were marked by an overall continuity of distribution patterns. Knowing that spatial distributions of weeds vary little in time can reduce sampling efforts, and increases feasibility of site-specific weed control.</description><identifier>ISSN: 0261-2194</identifier><identifier>EISSN: 1873-6904</identifier><identifier>DOI: 10.1016/j.cropro.2009.06.006</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Apera spica-venti ; crop rotation ; Geostatistics ; grain crops ; Grass weed ; grass weeds ; Indices of aggregation ; Kriging ; Patchiness ; population dynamics ; postemergent weed control ; sampling ; spatial data ; Spatial distribution ; spatial variation ; temporal variation</subject><ispartof>Crop protection, 2009-10, Vol.28 (10), p.831-837</ispartof><rights>2009 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c361t-aae45de1c7ae4854e0120be87e5421d20b7aea8dc74144a1d307171feb970713</citedby><cites>FETCH-LOGICAL-c361t-aae45de1c7ae4854e0120be87e5421d20b7aea8dc74144a1d307171feb970713</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0261219409001495$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Nordmeyer, H.</creatorcontrib><title>Spatial and temporal dynamics of Apera spica-venti seedling populations</title><title>Crop protection</title><description>Apera spica-venti is an important weed problem in winter cereals in Europe. Spatial and temporal dynamics of
A. spica-venti were investigated to test the hypothesis that this species has a spatially aggregated distribution.
A. spica-venti distribution was quantified over several crop rotation sequences in three commercial fields. From 1999 to 2006, the spatial pattern of
A. spica-venti was sampled yearly at the same grid points. Geostatistical techniques were used to characterise the spatial and temporal variability of
A. spica-venti density. The spatial pattern was analysed by Lloyd's index of patchiness. From year to year, differing aggregation of
A. spica-venti resulted in weed patchiness. The Spearman Rank Correlation Coefficient (
r
s) was used to discover the strength of
A. spica-venti occurrence in several years. For two sites there were significant correlations of weed occurrence between years but the relationship was less strong for the third field. Based on rank correlation coefficients, the temporal dynamics were marked by an overall continuity of distribution patterns. Knowing that spatial distributions of weeds vary little in time can reduce sampling efforts, and increases feasibility of site-specific weed control.</description><subject>Apera spica-venti</subject><subject>crop rotation</subject><subject>Geostatistics</subject><subject>grain crops</subject><subject>Grass weed</subject><subject>grass weeds</subject><subject>Indices of aggregation</subject><subject>Kriging</subject><subject>Patchiness</subject><subject>population dynamics</subject><subject>postemergent weed control</subject><subject>sampling</subject><subject>spatial data</subject><subject>Spatial distribution</subject><subject>spatial variation</subject><subject>temporal variation</subject><issn>0261-2194</issn><issn>1873-6904</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp9kNFLwzAQxoMoOKf_gWCffGu9pGmbvghj6BQGPmw-hyy5joy2qUk32H9vRn326b7jvu-O-xHySCGjQMuXQ6a9G7zLGECdQZkBlFdkRkWVp2UN_JrMgJU0ZbTmt-QuhAMAsDxnM7LaDGq0qk1Ub5IRu8H52JhzrzqrQ-KaZDGgV0kYrFbpCfvRJgHRtLbfJ4Mbjm2Muz7ck5tGtQEf_uqcbN_ftsuPdP21-lwu1qnOSzqmSiEvDFJdRSEKjkAZ7FBUWHBGTdRxoITRFaecK2pyqGhFG9zVVVT5nDxPa-O3P0cMo-xs0Ni2qkd3DJKBgFpAEY18MkYyIXhs5OBtp_xZUpAXaPIgJ2jyAk1CKSO0GHuaYo1yUu29DfJ7w4DmMSEE53V0vE4OjF-eLHoZtMVeo7Ee9SiNs_-f-AXuJYEq</recordid><startdate>20091001</startdate><enddate>20091001</enddate><creator>Nordmeyer, H.</creator><general>Elsevier Ltd</general><general>[Amsterdam]: Elsevier Science</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope></search><sort><creationdate>20091001</creationdate><title>Spatial and temporal dynamics of Apera spica-venti seedling populations</title><author>Nordmeyer, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-aae45de1c7ae4854e0120be87e5421d20b7aea8dc74144a1d307171feb970713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Apera spica-venti</topic><topic>crop rotation</topic><topic>Geostatistics</topic><topic>grain crops</topic><topic>Grass weed</topic><topic>grass weeds</topic><topic>Indices of aggregation</topic><topic>Kriging</topic><topic>Patchiness</topic><topic>population dynamics</topic><topic>postemergent weed control</topic><topic>sampling</topic><topic>spatial data</topic><topic>Spatial distribution</topic><topic>spatial variation</topic><topic>temporal variation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nordmeyer, H.</creatorcontrib><collection>AGRIS</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>Crop protection</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nordmeyer, H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial and temporal dynamics of Apera spica-venti seedling populations</atitle><jtitle>Crop protection</jtitle><date>2009-10-01</date><risdate>2009</risdate><volume>28</volume><issue>10</issue><spage>831</spage><epage>837</epage><pages>831-837</pages><issn>0261-2194</issn><eissn>1873-6904</eissn><abstract>Apera spica-venti is an important weed problem in winter cereals in Europe. Spatial and temporal dynamics of
A. spica-venti were investigated to test the hypothesis that this species has a spatially aggregated distribution.
A. spica-venti distribution was quantified over several crop rotation sequences in three commercial fields. From 1999 to 2006, the spatial pattern of
A. spica-venti was sampled yearly at the same grid points. Geostatistical techniques were used to characterise the spatial and temporal variability of
A. spica-venti density. The spatial pattern was analysed by Lloyd's index of patchiness. From year to year, differing aggregation of
A. spica-venti resulted in weed patchiness. The Spearman Rank Correlation Coefficient (
r
s) was used to discover the strength of
A. spica-venti occurrence in several years. For two sites there were significant correlations of weed occurrence between years but the relationship was less strong for the third field. Based on rank correlation coefficients, the temporal dynamics were marked by an overall continuity of distribution patterns. Knowing that spatial distributions of weeds vary little in time can reduce sampling efforts, and increases feasibility of site-specific weed control.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.cropro.2009.06.006</doi><tpages>7</tpages></addata></record> |
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| issn | 0261-2194 1873-6904 |
| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Apera spica-venti crop rotation Geostatistics grain crops Grass weed grass weeds Indices of aggregation Kriging Patchiness population dynamics postemergent weed control sampling spatial data Spatial distribution spatial variation temporal variation |
| title | Spatial and temporal dynamics of Apera spica-venti seedling populations |
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