河北地区华北落叶松、杨树单木生物量、碳贮量及其分配规律
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摘要
森林作为陆地生态系统的主体,具有广泛的分布面积,最高的生物生产力和最大的生物量积累。森林吸收CO2,并具有长期保存能力,在调节陆地生态系统与大气碳库之间的碳交换中起到巨大的“生物泵”作用。因此建立单株生物量、碳贮量模型,建立统一标准,具有深远意义。
本文通过对河北省内华北落叶松与栽培杨树的单木生物量、与单木碳贮量进行研究,找出了两树种生物量、碳贮量的分配规律,建立了胸径、树高、材积与生物量、碳贮量模型并进行比较分析,具体结果如下。
1生物量与碳贮量分配规律
随着胸径的增大,华北落叶松与栽培杨树各器官生物量与碳贮量分配比例都表现如下规律:树干生物量、碳贮量所占的比例均为最大,树根生物量、碳贮量所占的比例基本稳定,一直保持在20%左右;树叶生物量、碳贮量比例均随胸径的增大而逐渐降低;杨树树枝、树叶生物量、碳贮量所占比例相对于华北落叶松波动较大。
2胸径、树高与生物量的回归模型
华北落叶松与栽培杨树的胸径均与各部分生物量、碳贮量均具有极显著的相关性(P<0.01,N_落=63,N_杨=20),华北落叶松树高与各部分生物量、碳贮量极显著相关(P<0.01 ,N_落=63,N_杨=20),杨树树高与各部分生物量、碳贮量的相关性较差。模型W = a(D~ 2H)~b和W = aD~b均能很好地拟合胸径、树高与生物量、碳贮量的关系,但相比而言W = aD~b更优。
3材积与生物量、碳贮量关系
应用W = a+bV模型对材积与生物量、碳贮量进行拟合,结果发现,带皮材积、去皮材积与两树种生物量、碳贮量均能得到很好的效果。应用C = aVb模型对材积与碳贮量进行拟合,其相关指数较W = a+bV模型的相关系数更高,即C = aVb模型能够得到更好的拟合效果,应为首先考虑的模型。
As the main body of the terrestrial ecosystem, the forest has a wide distribution area, the highest level of biological productivity and the largest biomass accumulation. Forests absorb CO2 and have the ability to long-term preservation of CO2. They play a tremendous role of the "biological pump" in the exchange of carbon between the terrestrial ecosystems and atmospheric carbon pools. Therefore, establishing the single plant biomass model and carbon storage model, building up a unifying standard, which have far-reaching significance.
In this paper, as the research of single biomass and carbon storage of Larix principis-rupprechtii Mayr. and Populus in Hebei province, we have found out the allotment regulation, and build up the model of DBH, height, volume, biomass and carbon storage, and analyzed they. The results are as follows.
1 The allotment regulation of biomass and carbon storage
In Hebei province, with the increase of DBH, the allotment regulation of biomass and carbon storage of Larix principis-rupprechtii Mayr. and Populus is as follows: the proportions of trunk biomass and carbon storage are the largest; the proportion of roots biomass and carbon storage are basically stable, which have remained at about 20%; the proportion of leaf biomass and carbon storage is decreasing. The proportion of branches and leaves biomass and carbon storage of Populus have more fluctuations than Larix principis-rupprechtii Mayr.
2 The regression model of DBH, tree height and biomass
Applied the software SPSS17.0, we carry on Pearson relativity analysis to DBH, height, biomass and carbon storage of Larix principis-rupprechtii Mayr. and Populus. The results are as follows. DBH, biomass and carbon storage of the two species have a highly significant correlation (P<0.01,NL=63,NP=20). Height, biomass and carbon storage of Larix principis-rupprechtii Mayr. have a highly significant correlation (P<0.01,NL=63,NP=20). Height, biomass and carbon storage of Populus. have lower significant correlation. The models of W = a(D 2H)b and W = aDb can nicely draw up to match the relationship betweens DBH, height and biomass, carbon storage. But the model of W = a(D~ 2H)~b is much better.
3 the relationship of volume, biomass and carbon storage
Applied W = a+bV model to the volume, biomass with carbon storage, we find that it is good to draw up to match effect between take skin volume measure or to the skin volume measure and biomass or carbon storage of the two trees. Applied C = aV~b model to the volume with carbon storage to carry on drawing up to match, its correlation coefficient is higher than the W = a+bV model’s. It is mean that the C = aV~b model can get better draw up to match effect, we should consider it first.
本文通过对河北省内华北落叶松与栽培杨树的单木生物量、与单木碳贮量进行研究,找出了两树种生物量、碳贮量的分配规律,建立了胸径、树高、材积与生物量、碳贮量模型并进行比较分析,具体结果如下。
1生物量与碳贮量分配规律
随着胸径的增大,华北落叶松与栽培杨树各器官生物量与碳贮量分配比例都表现如下规律:树干生物量、碳贮量所占的比例均为最大,树根生物量、碳贮量所占的比例基本稳定,一直保持在20%左右;树叶生物量、碳贮量比例均随胸径的增大而逐渐降低;杨树树枝、树叶生物量、碳贮量所占比例相对于华北落叶松波动较大。
2胸径、树高与生物量的回归模型
华北落叶松与栽培杨树的胸径均与各部分生物量、碳贮量均具有极显著的相关性(P<0.01,N_落=63,N_杨=20),华北落叶松树高与各部分生物量、碳贮量极显著相关(P<0.01 ,N_落=63,N_杨=20),杨树树高与各部分生物量、碳贮量的相关性较差。模型W = a(D~ 2H)~b和W = aD~b均能很好地拟合胸径、树高与生物量、碳贮量的关系,但相比而言W = aD~b更优。
3材积与生物量、碳贮量关系
应用W = a+bV模型对材积与生物量、碳贮量进行拟合,结果发现,带皮材积、去皮材积与两树种生物量、碳贮量均能得到很好的效果。应用C = aVb模型对材积与碳贮量进行拟合,其相关指数较W = a+bV模型的相关系数更高,即C = aVb模型能够得到更好的拟合效果,应为首先考虑的模型。
As the main body of the terrestrial ecosystem, the forest has a wide distribution area, the highest level of biological productivity and the largest biomass accumulation. Forests absorb CO2 and have the ability to long-term preservation of CO2. They play a tremendous role of the "biological pump" in the exchange of carbon between the terrestrial ecosystems and atmospheric carbon pools. Therefore, establishing the single plant biomass model and carbon storage model, building up a unifying standard, which have far-reaching significance.
In this paper, as the research of single biomass and carbon storage of Larix principis-rupprechtii Mayr. and Populus in Hebei province, we have found out the allotment regulation, and build up the model of DBH, height, volume, biomass and carbon storage, and analyzed they. The results are as follows.
1 The allotment regulation of biomass and carbon storage
In Hebei province, with the increase of DBH, the allotment regulation of biomass and carbon storage of Larix principis-rupprechtii Mayr. and Populus is as follows: the proportions of trunk biomass and carbon storage are the largest; the proportion of roots biomass and carbon storage are basically stable, which have remained at about 20%; the proportion of leaf biomass and carbon storage is decreasing. The proportion of branches and leaves biomass and carbon storage of Populus have more fluctuations than Larix principis-rupprechtii Mayr.
2 The regression model of DBH, tree height and biomass
Applied the software SPSS17.0, we carry on Pearson relativity analysis to DBH, height, biomass and carbon storage of Larix principis-rupprechtii Mayr. and Populus. The results are as follows. DBH, biomass and carbon storage of the two species have a highly significant correlation (P<0.01,NL=63,NP=20). Height, biomass and carbon storage of Larix principis-rupprechtii Mayr. have a highly significant correlation (P<0.01,NL=63,NP=20). Height, biomass and carbon storage of Populus. have lower significant correlation. The models of W = a(D 2H)b and W = aDb can nicely draw up to match the relationship betweens DBH, height and biomass, carbon storage. But the model of W = a(D~ 2H)~b is much better.
3 the relationship of volume, biomass and carbon storage
Applied W = a+bV model to the volume, biomass with carbon storage, we find that it is good to draw up to match effect between take skin volume measure or to the skin volume measure and biomass or carbon storage of the two trees. Applied C = aV~b model to the volume with carbon storage to carry on drawing up to match, its correlation coefficient is higher than the W = a+bV model’s. It is mean that the C = aV~b model can get better draw up to match effect, we should consider it first.
引文
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