Shiyomi, Masae

Tang, Wei

Xie, Xinming

Zhong, Pinting

English

University of Kentucky

University of Kentucky UKnowledge International Grassland Congress Proceedings XXI International Grassland Congress / VIII International Rangeland Congress Spatial Heterogeneity of the Weed Community in a Manilagrass Lawn Xinming Xie South China Agricultural University, China Wei Tang South China Agricultural University, China Pinting Zhong South China Agricultural University, China Masae Shiyomi Ibaraki University, Japan Follow this and additional works at: https://uknowledge.uky.edu/igc  Part of the Plant Sciences Commons, and the Soil Science Commons This document is available at https://uknowledge.uky.edu/igc/21/16-1/31 The XXI International Grassland Congress / VIII International Rangeland Congress took place in Hohhot, China from June 29 through July 5, 2008. Proceedings edited by Organizing Committee of 2008 IGC/IRC Conference Published by Guangdong People's Publishing House This Event is brought to you for free and open access by the Plant and Soil Sciences at UKnowledge. It has been accepted for inclusion in International Grassland Congress Proceedings by an authorized administrator of UKnowledge. For more information, please contact UKnowledge@lsv.uky.edu. 　 Multifunctional Grasslands in a Changing World 　 Volume Ⅱ 　 瞯 ]829　 瞯Grasslands/Rangelands Production Systems——— Integrated Management of Harmful Organisms of Grasslands/RangelandsSpatial heterogeneity of the weed community in a manilagrass lawnX ie X in‐ming1 , Tang Wei1 , Zhong Pin‐ting1 , M . Shiyomi21 College o f A griculture , South China A gricultural University , Guangz hou , China , E‐mail : x iexmbs＠ scau .edu .cn ;2 Faculty o f Science , Ibaraki University , Bunkyo , M ito , JapanKey words : Zoysia matrella ,weed community ,spatial heterogeneity ,turf ,power lawIntroduction Zoysia matrella ( L .) Merr . ( manilagrass) can form a dense and pest‐f ree turf . However if mowing at low heightis coupled with frequent watering , the lawn is more easily invaded by weeds . In order to evaluate the quality and sustainabilityof manilagrass lawn , the spatial variation and species of weed community were analyzed with a new power‐law method in thisstudy ( Shiyomi et al . , ２００１ ) , which is helpful to recognize the patterns of weed invasion and distribution , as well as toeventually anticipate weed population dynamics as affected by lawn management strategies .　 　 　 Figure 1 Regression line f or weed community o f manilagrasslawn using power‐law Solid line : regression line ; broken line :y ＝ x ; double arrow line : δ ＝ log ( vi /１６ )‐log [ pi ( １‐p i ) /４ ] ;Bla : Borreria latifolia ; Cas : Centella asiatica ;Cda : Cynodondactylon ; Dmi : Desmodium microphyllum ; Dsa : Digitariasanguinalis ;Ep r :Eclipta prostrate ;Ete :Eragrostis tenella Eso :Emilia sonchifolia ;Fdi : Fimbristylis dichotoma . f . Annun ;Fsc :Fimbristylis schoenoide ;Hco :Hedyotis corymbosa ;H ve :Hedyotis verticillata ;Lcr :Lindernia crustacea ;L j a :Lygodiumjaponicum ;Mdo :Melastoma dodecandrum ;Ope :Ophioglossumpedunculosum ;Oco :Oxalis corniculata ; Pce :Palhinhaea cernua ;Pur :Phyllanthus urinaria ;Pcr :Pogonatherum crinitum ; Pze :Pouzolzia zeylanica ; Sin : Sacciolepis indica ; Sca : Salomoniacantoniensis ; Sdu : Scoparia dulcis ; Ulo : Urena lobata ; V in :Viola inconspicua ; Wch :Wedelia chinensis .Materials and methods The experimental site wasselected in a subtropical zone ( Guangzhou , China) ,on the manilagrass lawn established in １９９９ . Wesurveyed fif ty ５０ cm × ５０ cm frames ( L‐frames ) ,each of them was divided into four ２５ cm × ２５ cmsmaller frames ( S‐frames) , on a ２５ m line‐transect inNovember ２００６ ( N ＝ ５０ ; n ＝ ４ ) . All speciesnames occurring in each S‐f rame were recorded .According to the power‐law of Shiyomi et al .(２００１) , the following equations were established : vi/ n2 ＝ a [ pi ( １‐p i ) ] b , where pi denotes theoccurrence frequency of species i in S‐f rame ; videnotes the variance of actually observed occurrencecounts for species i among L‐f rames ; n is the numberof S‐frames in a L‐f rame ( here , n＝ ４ ) ; a and b areconstants ( a�＝ log a) .Results There were ２７ weed species found in thelawn . The regression line for weed species based onthe power‐law equation had a slope β ＝ １ .１０１７ and anintercept α ＝ ０ .３８５４ ( Fig .１ ) . As the slope is greaterthan １ and the intercept is greater than ０ , it suggeststhat that the weed community was not randomlydistributed as a whole and exhibited an overallaggregated spatial pattern . The results also showedthat the perennial weed species had a tendency withhigh heterogeneity , and the annuals weed species hada low heterogeneity .Conclusions As for the spatial characteristics of theweed community , F . schoenoide , E . p rostrata , P .cernua and C . asiatica had a high heterogeneity . L .j aponicum , E . sonchi f olia , D . sanguinalis . , H .corymbosa , P . crinitumh , S . dulcis . , C . dacty lon ,P . zey lanica , U . lobata and E . tenellademonstrated an approximately random pattern .Other species showed a relatively low heterogeneity .The mode of propagation is one of the major factorscontrolling spatial heterogeneity .

Spatial Heterogeneity of the Weed Community in a Manilagrass Lawn

https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=3699&context=igc

Spatial Heterogeneity of the Weed Community in a Manilagrass Lawn

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