Ying Yong Sheng Tai Xue Bao
October 2022
Ying Yong Sheng Tai Xue Bao
September 2022
To explore the practical role of enhanced vegetation index (EVI) time series data in improving the accuracy of forest type recognition could promote the deep application of optical remote sensing data in forest resources investigation and monitoring. With Cuigang Forest Farm of Xinlin Forestry Bureau in Daxing'anling as the object, we constructed six classification schemes, using random forest algorithm with spectral feature, texture feature and EVI time series feature. The data sources were 20-view Landsat 8 OLI time series data from 2014 to 2018, 56 fixed plots data from 2017-2019, and the 2016 Class II survey data.
View Article and Find Full Text PDFAffected by the disturbance of forest fire and logging, the primary forest in Daxing'an Mountains gradually degenerates into secondary forest. In this study, we established 16 plots in each of three typical forests, including natural pure forest (pioneer stage), natural . and mixed forest (transition stage) and natural .
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
August 2021
Based on data from 49 plots of natural forests in Cuigang Forest Farm of Xinlin Forestry Bureau, Daxing'anling Mountains, China, we used 37 measurable variables that mainly focused on stand non-spatial structure, stand spatial structure, species diversity, soil condition, and site condition to construct the structural equation model of natural regeneration densities and size diversities (., height and ground-diameter). The direct, indirect, and total influence coefficients of each path were quantified to extract the critical and controllable factors that influence regeneration density and diversity of natural forests, which would help implement sustainable forest management.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
December 2020
We monitored seed rain in three forest types for two years (2018-2019) in the central part of Greater Xing'an Mountains, and analyzed the seasonal seed rain dynamics, deciduous dynamics, seed rain thousand-grain weight, inter-annual variation of seed rain, and spatial pattern of seed rain of the main tree species in different forest types. The results showed that seed rain of and in each forest type showed unimodal distribution. The leaf litter amount of coniferous and broad-leaved species (, var.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
May 2020
We examined the spatial distribution patterns and their scale effects of different tree species (Larix gmelinii, Betula platyphylla and others) and different size classes of trees (1-5) of natural L. gmelinii secondary forest (LF), natural B. platyphylla secondary forest (BF) and the mixed secondary forest of both species (MF) in Daxing'anling.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
November 2019
Based on the data from four 1 hm permanent plots in main forest types [namely natural Larix gmelinii forest (LF), natural Betula platyphylla forest (BF), coniferous-broadleaved mixed forest (CBMF) and coniferous mixed forest (CMF)] in Great Xing'an Mountains, a comprehensive cutting index of individual tree (T), based on the commonly used spatial structure parameters [i.e., mingling (M), neighborhood comparison (U), uniform angle index (W), and competition index (CI)] and non-spatial structure parameters [tree vigor index (DC), tree stability index (DH)], was constructed using combined AHP and entropy evaluation method.
View Article and Find Full Text PDFBased on the survey data from a 1 hm plot of the second forest in Maoershan, we divided the stand into four size degrees, including seedlings (tree height H<30 cm), saplings (H 30-130 cm or H>130 cm meanwhile DBH< 5 cm), medium trees (DBH 5-10 cm) and big trees (DBH≥10 cm). The spatial pattern and spatial association of all woody plants and three dominant tree species in four size degrees, as well as the basic forest regeneration, were chosen as study objects, to explore the renewal trend and provide theoretical basis for the sustainable forest management. The O-ring point pattern analysis method was used to analyze the spatial distribution and spatial association.
View Article and Find Full Text PDFResearches on the dynamics of spatial point patterns and their associations of forest landscape has important implications for maintaining forest stability and making forest management decisions. Based on the four period datasets of forest resource inventory in Maoershan region in 1983, 1993, 2004, and 2016, the O-ring statistics within Programita software (version 2010) was used to quantitatively analyze the dynamics of spatial point patterns and associations. The results showed that the cover percentage of soft-wood broadleaved mixed forest (SBM) significantly decreased, the percentage of natural Quercus mongolica (NMO) increased in the beginning, and then became lower.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
December 2017
Based on the data collected from 108 permanent plots of the forest resources survey in Maoershan Experimental Forest Farm during 2004-2016, this study investigated the spatial distribution of recruitment trees in natural secondary forest by global Poisson regression and geographically weighted Poisson regression (GWPR) with four bandwidths of 2.5, 5, 10 and 15 km. The simulation effects of the 5 regressions and the factors influencing the recruitment trees in stands were analyzed, a description was given to the spatial autocorrelation of the regression residuals on global and local levels using Moran's I.
View Article and Find Full Text PDFPurpose: To present a method for mandibular defects reconstruction with free fibular flap by three-dimensional virtual technology.
Methods: In 11 patients (8 with ameloblastomas, 1 with ossifying fibroma, 2 with carcinoma of the mandibular gingiva ), three-dimensional virtual technology was simulated with software. The osteotomies were translated into rapid prototyping guides.
Ying Yong Sheng Tai Xue Bao
December 2014
Based-on the data of forest resource inventory in Pangu Forest Farm of Great Xing' an Mountains in northeastern China, the spatial distribution pattern and associations of the main forest landscape types [natural Larix gmelini forest (NLG), natural Betula platyphylla forest (NBP), natural coniferous mixed forest (NCM) and natural mixed broadleaf-conifer forest (NCB)] were studied by the two main spatial point pattern analysis methods (Ripley L and O-ring functions). The results showed that the spatial distribution pattern of the four forest landscape types were all consistent with each other the whole, which were all significantly clumped at small scale, and then mainly the obvious characteristics of random distribution with the increase of scale. Spatial associations of the four forest landscape types differed significantly with the Ripley L and O-ring functions.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
September 2013
By using the branch analysis data of 955 standard branches from 60 sampled trees in 12 sampling plots of Pinus koraiensis plantation in Mengjiagang Forest Farm in Heilongjiang Province of Northeast China, and based on the linear mixed-effect model theory and methods, the models for predicting branch variables, including primary branch diameter, length, and angle, were developed. Considering tree effect, the MIXED module of SAS software was used to fit the prediction models. The results indicated that the fitting precision of the models could be improved by choosing appropriate random-effect parameters and variance-covariance structure.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
May 2013
To integrate the health assessment results of individual trees into the health assessment of subcompartment (or stand) scale could improve the accuracy of subcompartment (or stand) scale health assessment, and realize the coupling process between the individual tree scale and the subcompartment (or stand) scale, providing a theoretical basis for the realization of forest health management. Taking the natural Larix gmelinii forest in Great Xing' an Mountains as the object, a health assessment indicators system of individual trees was established, which included root state, canopy defoliation degree, crown transparency, crown overlap, crown dieback ratio, live crown ratio, crown skewness, and vertical competition index. The principal component analysis (PCA) was employed to eliminate the correlations, the entropy value method was adopted to confirm the weight of each indicator, and the health status of individual L.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
September 2012
Forest soil is one of the main carbon pools in terrestrial ecosystem. Its organic matter content can provide basic information for estimating soil carbon storage, and also, is an important index for evaluating the function of soil carbon sink. Based on the LiDAR data and the topsoil organic matter contents in 55 permanent plots at Liangshui National Nature Reserve, Heilongjiang Province of Northeast China in August 2009, and by using partial least squares (PLS) method, this paper retrieved the forest topsoil organic matter's spatial pattern in the Reserve, extracted and screened the variables related to the distribution of the topsoil organic matter (e.
View Article and Find Full Text PDFGuang Pu Xue Yu Guang Pu Fen Xi
August 2009
The binding reaction of rutin-Sm with serum albumin (SA) was investigated by the fluorescence method in physiological condition. The authors studied mainly the quenching mechanism of the fluorescence of SA by rutin-Sm, and calculation of the binding constants K(LB) of human serum albumin (HSA) and bovine serum albumin (BSA) with rutin-Sm by Lineweaver-Burk equation at different temperatures respectively, then obtained the thermodynamic parameters of HSA and BSA with rutin-Sm according to the calculated binding constants K(LB) at different temperature, meanwhile the type of binding forces of HSA and BSA with rutin-Sm was determined. The results showed that the emission spectra of BSA (HSA) in the presence and absence of rutin-Sm are different.
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