Accurate and efficient estimation of forest growth and live biomass is a critical element in assessing potential responses to forest management and environmental change. The objective of this study was to develop mode...Accurate and efficient estimation of forest growth and live biomass is a critical element in assessing potential responses to forest management and environmental change. The objective of this study was to develop models to predict longleaf pine tree diameter at breast height （dbh） and merchantable stem volume （V） using data obtained from field measurements. We used longleaf pine tree data from 3,376 planted trees on 127 permanent plots located in the U.S. Gulf Coastal Plain region to fit equations to predict dbh and V as functions of tree height （H） and crown area （CA）. Prediction of dbh as a function of H improved when CA was added as an additional independent variable. Similarly, predic- tions of V based on H improved when CA was included. Incorporation of additional stand variables such as age, site index, dominant height, and stand density were also evaluated but resulted in only small improvements in model performance. For model testing we used data from planted and naturally-regenerated trees located inside and outside the geographic area used for model fitting. Our results suggest that the models are a robust alternative for dbh and V estimations when H and CA are known on planted stands with potential for naturally-regenerated stands, across a wide range of ages. We discuss the importance of these models for use with metrics derived from remote sensing data.展开更多
Nine new solid complexes of Mn(Ⅱ),Co(Ⅱ),Cu(Ⅱ),Zn(Ⅱ.),Ag(Ⅰ) nitrates with 4',5'-dibromobenzo-15—crown—5(L_A),Ag(Ⅰ),Cd(Ⅱ)nitrates with tetrabromodibenzo—18—crown—6(L_B)and Cu(Ⅱ), Ag(Ⅰ) nitrates wit...Nine new solid complexes of Mn(Ⅱ),Co(Ⅱ),Cu(Ⅱ),Zn(Ⅱ.),Ag(Ⅰ) nitrates with 4',5'-dibromobenzo-15—crown—5(L_A),Ag(Ⅰ),Cd(Ⅱ)nitrates with tetrabromodibenzo—18—crown—6(L_B)and Cu(Ⅱ), Ag(Ⅰ) nitrates with 4'—bromo—5'—nitrobenzo—15—crown-5(L_c),having the compositions of M(NO_2)_2·L·nH_2O(M=Mn,Co, Zn,L=L_A,n=2;M=Cu,L=L_A,n=1.5; M=Cd, L=L_B,n=0; M=Cu,L=Lc,n=2) and AgNO_·L·nCH_3CN(L=LA,n=0; L=L_B,n=1; L=Lc,n=1/2) have been synthesized in nonaqueous solvent. All the isolated complexes have been characterized by elementary analysis, IR and UV spectra, differential thermal and thermogravimetric analysis, X—ray powder diffraction analysis, molar conductance and measuremends of solubility in some general solvents.展开更多
胸径(Diameter at Breast Height,DBH)是指树木主干离地表面胸高处的直径,根据无人机可见光影像估算单木DBH对林业资产管理与评估具有重要意义。以云南师范大学呈贡校区内的银杏为研究对象,首先,获取其无人机可见光影像,基于摄影测量原...胸径(Diameter at Breast Height,DBH)是指树木主干离地表面胸高处的直径,根据无人机可见光影像估算单木DBH对林业资产管理与评估具有重要意义。以云南师范大学呈贡校区内的银杏为研究对象,首先,获取其无人机可见光影像,基于摄影测量原理生成数字正射影像图;然后,在此基础上提取银杏单木的冠幅(Crown Width,CW);最后,建立CW与DBH的4个回归模型,通过该模型估算得到DBH值。将实际测量的DBH值与估算值进行精度验证,最终一元二次函数模型R 2为0.75,均方根误差为0.0129 m,平均误差率为3.22%,均小于其他3个模型,具有较高的精度。实验结果表明基于无人机可见光影像可以较为准确地估算单木DBH。展开更多
This study aimed to develop a biomass equation for estimating the total above-ground biomass for Colophospermum mopane (mopane) based on the pooled data from three study sites. The mopane woodlands in Botswana represe...This study aimed to develop a biomass equation for estimating the total above-ground biomass for Colophospermum mopane (mopane) based on the pooled data from three study sites. The mopane woodlands in Botswana represent 14.6% of Botswana’s total area. The woodlands directly or indirectly support the livelihood of the majority of the rural population by providing wood and non-wood products. However, there is limited information on the pattern, trends and distribution of woody biomass production and their primary, environmental, and climatic determinants in different parts of Botswana. All the data were collected by destructive sampling from three study sites in Botswana. Stratified random sampling was based on the stem diameter at breast height (1.3 m from the ground or Diameter at Breast Height (DBH)). A total of 30 sample trees at each study site were measured, felled and weighed. The data from the three sites were pooled together, and the study employed regression analysis to examine the nature of relationships between total above-ground biomass (dependent variable) and five independent variables: 1) total tree height;2) crown diameter;3) stem diameters at 0.15 m;1.3 m (DBH) and 3 m from the ground respectively. There were significant relationships between all the independent variables and the dependent variable. However, DBH emerged as the strongest predictor of total tree above-ground biomass for mopane. The equation lnBiomass=-1.163+2.190lnDBH was adopted for use in the indirect estimation of total tree above-ground biomass for mopane in Botswana.展开更多
基金supported by the U.S.Department of Defense,through the Strategic Environmental Research and Development Program(SERDP)
文摘Accurate and efficient estimation of forest growth and live biomass is a critical element in assessing potential responses to forest management and environmental change. The objective of this study was to develop models to predict longleaf pine tree diameter at breast height （dbh） and merchantable stem volume （V） using data obtained from field measurements. We used longleaf pine tree data from 3,376 planted trees on 127 permanent plots located in the U.S. Gulf Coastal Plain region to fit equations to predict dbh and V as functions of tree height （H） and crown area （CA）. Prediction of dbh as a function of H improved when CA was added as an additional independent variable. Similarly, predic- tions of V based on H improved when CA was included. Incorporation of additional stand variables such as age, site index, dominant height, and stand density were also evaluated but resulted in only small improvements in model performance. For model testing we used data from planted and naturally-regenerated trees located inside and outside the geographic area used for model fitting. Our results suggest that the models are a robust alternative for dbh and V estimations when H and CA are known on planted stands with potential for naturally-regenerated stands, across a wide range of ages. We discuss the importance of these models for use with metrics derived from remote sensing data.
文摘Nine new solid complexes of Mn(Ⅱ),Co(Ⅱ),Cu(Ⅱ),Zn(Ⅱ.),Ag(Ⅰ) nitrates with 4',5'-dibromobenzo-15—crown—5(L_A),Ag(Ⅰ),Cd(Ⅱ)nitrates with tetrabromodibenzo—18—crown—6(L_B)and Cu(Ⅱ), Ag(Ⅰ) nitrates with 4'—bromo—5'—nitrobenzo—15—crown-5(L_c),having the compositions of M(NO_2)_2·L·nH_2O(M=Mn,Co, Zn,L=L_A,n=2;M=Cu,L=L_A,n=1.5; M=Cd, L=L_B,n=0; M=Cu,L=Lc,n=2) and AgNO_·L·nCH_3CN(L=LA,n=0; L=L_B,n=1; L=Lc,n=1/2) have been synthesized in nonaqueous solvent. All the isolated complexes have been characterized by elementary analysis, IR and UV spectra, differential thermal and thermogravimetric analysis, X—ray powder diffraction analysis, molar conductance and measuremends of solubility in some general solvents.
文摘胸径(Diameter at Breast Height,DBH)是指树木主干离地表面胸高处的直径,根据无人机可见光影像估算单木DBH对林业资产管理与评估具有重要意义。以云南师范大学呈贡校区内的银杏为研究对象,首先,获取其无人机可见光影像,基于摄影测量原理生成数字正射影像图;然后,在此基础上提取银杏单木的冠幅(Crown Width,CW);最后,建立CW与DBH的4个回归模型,通过该模型估算得到DBH值。将实际测量的DBH值与估算值进行精度验证,最终一元二次函数模型R 2为0.75,均方根误差为0.0129 m,平均误差率为3.22%,均小于其他3个模型,具有较高的精度。实验结果表明基于无人机可见光影像可以较为准确地估算单木DBH。
文摘This study aimed to develop a biomass equation for estimating the total above-ground biomass for Colophospermum mopane (mopane) based on the pooled data from three study sites. The mopane woodlands in Botswana represent 14.6% of Botswana’s total area. The woodlands directly or indirectly support the livelihood of the majority of the rural population by providing wood and non-wood products. However, there is limited information on the pattern, trends and distribution of woody biomass production and their primary, environmental, and climatic determinants in different parts of Botswana. All the data were collected by destructive sampling from three study sites in Botswana. Stratified random sampling was based on the stem diameter at breast height (1.3 m from the ground or Diameter at Breast Height (DBH)). A total of 30 sample trees at each study site were measured, felled and weighed. The data from the three sites were pooled together, and the study employed regression analysis to examine the nature of relationships between total above-ground biomass (dependent variable) and five independent variables: 1) total tree height;2) crown diameter;3) stem diameters at 0.15 m;1.3 m (DBH) and 3 m from the ground respectively. There were significant relationships between all the independent variables and the dependent variable. However, DBH emerged as the strongest predictor of total tree above-ground biomass for mopane. The equation lnBiomass=-1.163+2.190lnDBH was adopted for use in the indirect estimation of total tree above-ground biomass for mopane in Botswana.
