plot n. 1.陰謀(事件),策劃。 2.(小說、戲劇等的)情節(jié)。 3.【炮兵】測算表。 hatch a plot 策劃陰謀。 be privy to a plot 參與陰謀。 The plot thickens. 情節(jié)復(fù)雜起來了。 vt. (-tt-) 1.密謀,圖謀;策劃。 2.繪(圖);畫(設(shè)計圖)。 3.把…記入(海圖)。 4.擬定(劇本等的)情節(jié)。 vi. 圖謀,策劃 (for against)。 n. 1.小塊地,一塊地;一塊地上的作物。 2.〔美國〕地基;基址圖;【軍事】標(biāo)繪(圖)。 an experimental plot 試驗田。 reserved private plots 自留地。 a garden plot 園地。 a plot of barley 一塊大麥地。 a radar plot 雷達(dá)測繪板;雷達(dá)情報站。 vt. (-tt-) 區(qū)劃(土地);劃分。 plot out one's time 分配自己的時間。
Previous researchers have always determined the sp atial distribution patterns ( sdp ) of castanopsis kawakamii with a sample - dis tance method . however , the distribution patterns may be affected by the quadrat si ze and , in the course of analysis , the density differences among the cluster plots are not considered ; therefore , differences of cluster plot size and the dispersi on degree among individuals of cluster plots can not be known . authers of this pa per have determined the spatial distribution patterns of castanopsis kawakamii population in different habitats by means of non - quadrat distance method and a nalysed the pattern intensity and grain of the sdp . the pattern intensity is defi ned with the relative density differences and the pattern grain can embody the d ispersion degree of the individuals in the plots , and the dispersion degree among the plots . the determined results are as follows . the intensities of the species range in order from strong to week : litsea mollifolia p . kawakamii i . purpure a r . cochinchinensis c . kawakamii c . carlessii d . oldphamii s . superba . the gra ins of the species queue in order from coarse to close : s . superba = litsea mollif olia r . cohinchinensis c . kawakamii = i . purpurea c . carlessii p . racemosam d . oldp hamii . these determined results tally basiclly with the results authers of this paper have got in determining the same plots by means of aggregate index access ing method . in view of this , it is held that the sdp of c . kawakamii is closely related to the habitats and biological features 前人都是采用樣方方法對格氏栲種群數(shù)量的空間格局進(jìn)行測定,而格局分布有可能受樣方大小的影響,且分析過程中沒有涉及聚塊間密度差的問題,因而無法掌握種群的聚塊大小差別及聚塊內(nèi)個體間的離散程度.本研究采用無樣方距離法,測定不同生境的格氏栲種群空間格局,分析格氏栲種群格局的強(qiáng)度和紋理.強(qiáng)度以聚塊和間隙的密度差來定義,紋理則是體現(xiàn)聚塊內(nèi)個體間的離散程度與諸聚塊間的分離程度.測定結(jié)果表明,格氏栲種群格局強(qiáng)度從高到低排列次序為:木姜子蚊母樹冬青茜草樹格氏栲米櫧虎皮楠木荷;格局紋理從粗到細(xì)的順序是:木荷=木姜子茜草樹格氏栲=冬青米櫧蚊母樹虎皮楠.這一測定結(jié)果與作者采用聚集度指標(biāo)測定相同樣地格氏栲種群空間格局的結(jié)果基本相符.因此,格氏栲空間格局類型及分布與格氏栲生物學(xué)特性及生境的關(guān)系密切