基于气候因子的川中柏木人工林直径分布预测模型OA北大核心CSTPCD
Prediction Model of Diameter Distribution of Cupressus funebris Plantations in Central Sichuan Based on Climatic Factors
构建含气候因子的柏木人工林径级分布模型,分析林分直径分布的规律性及其对气候变化的响应,为气候变化下人工林经营决策提供科学依据.利用川中柏木人工林样地调查数据,应用极大似然法估计Weibull分布参数,采用贝叶斯模型平均法(BMA)构建柏木人工林径级分布模型,并以此模拟气候变化对直径分布的影响.结果表明,极大似然法均较好地估计柏木人工林的直径分布;基于BMA构建包含坡度、腐殖质层厚度、年龄、每公顷株数、林分断面积、最热月平均温和年降水量的径级分布模型,五折交叉验证得到的参数b的平均绝对偏差、决定系数和均方根误差分别为0.78、0.78、0.92,参数c分别为0.26、0.67、0.32,预测精度较好;随着最热月平均温和年降水量的增加,直径分布逐渐右移.采用BMA构建的径级分布模型具有较好的精度,且最热月平均温度和年降水量的增加会促进林分生长.
The size-class distribution models considering climatic factors were constructed for Cupressus fu-nebris plantations.And the regularity of stand diameter distribution and the response to climate change were analyzed to provide a scientific basis for plantation management and decision making.Using the sur-vey data of C.funebris plantations in central Sichuan,the Weibull distribution parameters were estimated by maximum likelihood estimation.The size-class distribution model was constructed based on Bayesian model averaging(BMA).Furthermore,the effect of climate change on diameter distribution was analyzed.Maximum likelihood estimation showed strong capability to well estimate diameter distributions for C.fu-nebris plantations.The size-class distribution models based on BMA include slope,humus thickness,age,tree numbers per hectare,stand basal area,mean warmest month temperature and mean annual precipitati-on.The mean absolute bias,coefficient of determination and root mean square error of five cross-validation for parameter b were 0.78,0.78 and 0.92,and for parameter c were 0.26,0.67 and 0.32,indicating better prediction accuracy.The diameter distribution shifted to the right with the increase of mean warmest month temperature and mean annual precipitation.The size-class distribution models based on BMA have the capability to accurately predict diameter distribution.And the increasing mean warmest month temper-ature and mean annual precipitation can facilitate stand growth.
叶涛;臧颢
四川省林业和草原调查规划院,四川成都 610081江西农业大学林学院,江西南昌 330045
林学
贝叶斯模型平均法气候变化直径分布
Bayesian model averagingclimate changediameter distribution
《西北林学院学报》 2024 (003)
59-66 / 8
国家自然科学基金(31960313、31700563);江西省林业科技创新专项([2019]01号).
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