江西农业大学学报
江西農業大學學報
강서농업대학학보
ACTA AGRICULTURAE UNIVERSITATIS JIANGXIENSIS
2014年
6期
1298-1304
,共7页
高东启%邓华锋%蒋益%陈虹兵%程志楚
高東啟%鄧華鋒%蔣益%陳虹兵%程誌楚
고동계%산화봉%장익%진홍병%정지초
油松%单木生长模型%林分生长模型%耦合
油鬆%單木生長模型%林分生長模型%耦閤
유송%단목생장모형%림분생장모형%우합
Pinus tabulaeformis%individual tree growth models%stand growth models%coupling
选用相对直径为单木竞争指标,通过引入哑变量建立间伐林分与未间伐林分统一的单木断面积、材积生长模型,经检验,模型对油松间伐林分、未间伐林分的预测精度都在96%以上。对单木生长模型进行变换,从而推导出林分生长模型,经检验,对油松林分断面积、蓄积量的预测精度都在86%以上。单木水平生长模型推导林分水平生长模型的方法解决了不同水平模型预测同一林分因子时预测效果不一致的问题,使得单木、林分两个水平的模型有机地耦合在一起,形成一个联系紧密的整体。该方法不仅适用于预测林分断面积、蓄积量,也适用于预测其他林分因子。
選用相對直徑為單木競爭指標,通過引入啞變量建立間伐林分與未間伐林分統一的單木斷麵積、材積生長模型,經檢驗,模型對油鬆間伐林分、未間伐林分的預測精度都在96%以上。對單木生長模型進行變換,從而推導齣林分生長模型,經檢驗,對油鬆林分斷麵積、蓄積量的預測精度都在86%以上。單木水平生長模型推導林分水平生長模型的方法解決瞭不同水平模型預測同一林分因子時預測效果不一緻的問題,使得單木、林分兩箇水平的模型有機地耦閤在一起,形成一箇聯繫緊密的整體。該方法不僅適用于預測林分斷麵積、蓄積量,也適用于預測其他林分因子。
선용상대직경위단목경쟁지표,통과인입아변량건립간벌림분여미간벌림분통일적단목단면적、재적생장모형,경검험,모형대유송간벌림분、미간벌림분적예측정도도재96%이상。대단목생장모형진행변환,종이추도출림분생장모형,경검험,대유송림분단면적、축적량적예측정도도재86%이상。단목수평생장모형추도림분수평생장모형적방법해결료불동수평모형예측동일림분인자시예측효과불일치적문제,사득단목、림분량개수평적모형유궤지우합재일기,형성일개련계긴밀적정체。해방법불부괄용우예측림분단면적、축적량,야괄용우예측기타림분인자。
Relative diameter was used as the individual tree competition index, through introducing the dummy variables to integrate thinned stands and unthinned stands,the models of individual tree basal area and volume growth were established.The inspection showed that the prediction accuracies of the models for thinned stands and unthinned stands of Pinus tabulaeformis were over 96%. The stand growth models were derived from the individual tree growth models by transformtion, the inspection showed that the prediction accuracies for stand basal area and volume of Pinus tabulaeformis were over 86%. The method of deriving stand-level growth models from individual tree-level growth models has solved the problem that prediction effects of different level models on the prediction of the same stand factor was not consistent,so the individual tree-level and stand-level growth models have been coupled together organically as a whole.This method applies not only to the pre?diction of stand basal area and volume,but also applies to the prediction of other stand factors.