生态学报
生態學報
생태학보
ACTA ECOLOGICA SINICA
2009年
11期
6085-6094
,共10页
尹锴%崔胜辉%赵千钧%花利忠%石龙宇%吝涛
尹鍇%崔勝輝%趙韆鈞%花利忠%石龍宇%吝濤
윤개%최성휘%조천균%화리충%석룡우%인도
城市森林%植物多样性%冗余分析%双重筛选逐步回归%林下叶层
城市森林%植物多樣性%冗餘分析%雙重篩選逐步迴歸%林下葉層
성시삼림%식물다양성%용여분석%쌍중사선축보회귀%림하협층
urban forest%plant diversity%redundancy analysis%duplicato bolting stepwise regression%understory
以4类多样性指数作为衡量城市森林林下层植物多样性差异的定量指标,并同时记录对应样方尺度的环境变量特征.以期应用冗余分析(RDA)手段提取城市森林林下层植物多样性的干扰控制因子,从而进一步揭示主要环境变量对城市森林林下层植物多样性变异的贡献率.RDA分析结果表明枯落物盖度、距林缘距离、小路面积和垃圾数4变量为能够显著解释林下叶层植物多样性变化的最小变量组合,解释信息量百分比达61%,10变量共同解释的信息量为72.1%.在RDA分析的基础上,对10环境变量组合与植物多样性特征进行双重筛选逐步回归,发现草本密度与海拔、坡度、距林缘距离、枯落物盖度呈极显著相关;草本层Pielou均匀度指数与海拔、坡度、郁闭度、枯落物盖度、岩石盖度呈极显著相关;草本层Simpson多样性指数与坡度、枯落物盖度、距林缘距离、岩石盖度、伐桩数呈极显著相关;灌木层Pielou均匀度指数则与海拔、郁闭度、小路面积、岩石盖度呈极显著相关.
以4類多樣性指數作為衡量城市森林林下層植物多樣性差異的定量指標,併同時記錄對應樣方呎度的環境變量特徵.以期應用冗餘分析(RDA)手段提取城市森林林下層植物多樣性的榦擾控製因子,從而進一步揭示主要環境變量對城市森林林下層植物多樣性變異的貢獻率.RDA分析結果錶明枯落物蓋度、距林緣距離、小路麵積和垃圾數4變量為能夠顯著解釋林下葉層植物多樣性變化的最小變量組閤,解釋信息量百分比達61%,10變量共同解釋的信息量為72.1%.在RDA分析的基礎上,對10環境變量組閤與植物多樣性特徵進行雙重篩選逐步迴歸,髮現草本密度與海拔、坡度、距林緣距離、枯落物蓋度呈極顯著相關;草本層Pielou均勻度指數與海拔、坡度、鬱閉度、枯落物蓋度、巖石蓋度呈極顯著相關;草本層Simpson多樣性指數與坡度、枯落物蓋度、距林緣距離、巖石蓋度、伐樁數呈極顯著相關;灌木層Pielou均勻度指數則與海拔、鬱閉度、小路麵積、巖石蓋度呈極顯著相關.
이4류다양성지수작위형량성시삼림림하층식물다양성차이적정량지표,병동시기록대응양방척도적배경변량특정.이기응용용여분석(RDA)수단제취성시삼림림하층식물다양성적간우공제인자,종이진일보게시주요배경변량대성시삼림림하층식물다양성변이적공헌솔.RDA분석결과표명고락물개도、거림연거리、소로면적화랄급수4변량위능구현저해석림하협층식물다양성변화적최소변량조합,해석신식량백분비체61%,10변량공동해석적신식량위72.1%.재RDA분석적기출상,대10배경변량조합여식물다양성특정진행쌍중사선축보회귀,발현초본밀도여해발、파도、거림연거리、고락물개도정겁현저상관;초본층Pielou균균도지수여해발、파도、욱폐도、고락물개도、암석개도정겁현저상관;초본층Simpson다양성지수여파도、고락물개도、거림연거리、암석개도、벌장수정겁현저상관;관목층Pielou균균도지수칙여해발、욱폐도、소로면적、암석개도정겁현저상관.
In this paper, four diversity indexes were considered as quantitative indicators of understory for urban forest, while the features of environment variables were recorded at the corresponding quadrat scale. By applying the redundancy analysis (RDA) the control factors that affect understory diversity in urban forest were extracted and the contributions to understory diversity were further disclosed. RDA results showed that litter cover, distance to the forest edge, road area and garbage four-variables were the minimum variables combination which can significantly explain the understory plant diversity, with 61% information explaination. The 10 variables could explain 72.1% of all information. Based on the RDA, 10 environmental variables and understory features were performed duplicato bolting stepwise regression. The result showed that herb density and altitude, slope, distance to forest edge, litter cover were significantly related; Pielou evenness of herb significantly related with the altitude, slope, canopy cover, litter cover and rock cover; Simpson diversity of herb significantly related with slope, litter cover, distance to forest edge, rock cover and stake; Pielou evenness of shrub significantly related with altitude, canopy cover, road area and rock cover.