基于神经网络的杉木人工林碳通量影响因素的选择
作者：
温旭丁;赵仲辉;邓湘雯
期刊：
林业与环境科学 ,2014年(2):23-28 ISSN：2096-2053
作者机构：
中南林业科技大学生命科学与技术学院,湖南 长沙,410004;[赵仲辉; 邓湘雯] 中南林业科技大学生命科学与技术学院，湖南 长沙410004;南方林业生态应用技术国家工程实验室，湖南 长沙410004;[赵仲辉; 邓湘雯] 南方林业生态应用技术国家工程实验室，湖南 长沙410004;[温旭丁] 中南林业科技大学
关键词：
遗传神经网络;相关分析;碳通量;预测因子
摘要：
对碳循环影响因素的研究是预测碳通量的重要环节，也是研究碳循环的重要基础。利用亚热带地区湖南省会同杉木人工林生态系统国家野外科学观测研究站2008年7-9月的碳通量和环境因子观测数据，采用遗传神经网络模型对碳通量预测因素进行优化选择，并与传统的相关分析方法进行对比分析。结果表明：模型CIV．8（输入参数包括空气温度Ta、光合有效辐射Par、大气CO2浓度ρc、空气相对湿度Rh、风速Ws、土壤温度 Ts）是所有模型中模拟效果最好的。光合有效辐射与碳通量的相关性最强，相关系数是-0．704（P＝0．000）；降雨量与碳通量的相关性最弱，相关系数是0．002（P＝0．854）。最多输入变量或最复杂的神经网络结构并不能得到最好的模型。
语种：
中文
展开
湖南省2009年杉木林碳贮存量及未来固碳潜力分析
作者：
刘起华;陈弘东;孙玉雯;刘凤麟;仝小林
期刊：
中南林业科技大学学报 ,2014年34(6): 94-99,111 ISSN：1673-923X
作者机构：
[刘起华; 陈弘东; 孙玉雯; 仝小林] 中国中医科学院广安门医院;[刘凤麟] 哈尔滨市急救中心
关键词：
杉木林;碳贮量;固碳潜力;湖南省;森林经营;龄组面积结构调整
摘要：
利用文献数据建立杉木不同龄组(幼龄林、中龄林、近熟林、成熟林和过熟林)的生物量相对生长方程,计算杉木各龄组林分的平均生物量和碳贮量。根据2009年湖南省森林资源数据,估算湖南省及各地市(州)杉木林总生物量和碳贮存总量。从文献中选择生长较好的杉木林作为合理经营状态林分,分析该状态下杉木林各龄组的林分生物量,同时针对湖南省杉木林各龄组的面积分布现状,调整龄组面积结构,估算合理经营状态下和调整龄组结构后杉木林的碳贮量,分析湖南省杉木林的未来固碳潜力,为湖南省杉木林合理经营和生态功能区划提供科学依据。结果表明:2009年湖南省杉木林林分的碳贮量为0.50~227.01 t/hm~2,林分平均碳贮量从幼龄林的5.94 t/hm~2增加到过熟林的147.25 t/hm~2。全省杉木林碳贮存总量为52.16×10~6 t,其中湘潭市杉木林碳贮量最低,为0.42×10~6 t,怀化市的最高,为11.97×10~6 t。杉木幼龄林的碳贮存总量最小(1.94×10~6 t),过熟林最大(13.12×10~6 t)。如果采取合理经营措施,湖南省杉木林碳贮存总量可增加到103.83×10~6 t,约为目前杉木林碳贮存总量的2倍。杉木林龄组结构调整后,湖南省杉木林各龄组碳贮量从幼龄林的1.91×10~6 t增加至过熟林的47.37×10~6 t,全省杉木林碳贮存总量可增加到81.10×10~6 t,为目前杉木林碳贮存总量的1.55倍。可见,湖南省杉木林具有较大的固碳潜力,提高林分单位面积生产力和调整全省杉木林龄组面积结构是增加森林固碳潜力的有效途径。
语种：
中文
展开
Standing fine root mass and production in four Chinese subtropical forests along a succession and species diversity gradient
作者：
Liu, Cong;Xiang, Wenhua* ;Lei, Pifeng;Deng, Xiangwen;Tian, Dalun;...
期刊：
Plant and Soil ,2014年376(1-2):445-459 ISSN：0032-079X
通讯作者：
Xiang, Wenhua
作者机构：
[Tian, Dalun; Lei, Pifeng; Xiang, Wenhua; Fang, Xi; Liu, Cong; Deng, Xiangwen] Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.;[Peng, Changhui] Univ Quebec, Dept Biol Sci, Inst Environm Sci, Montreal, PQ H3C 3P8, Canada.
通讯机构：
[Xiang, Wenhua] C;Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.
关键词：
Fine root biomass;Fine root production;Seasonal variation;Successional gradient;Tree species diversity
摘要：
Background and aims: The influences of succession and species diversity on fine root production are not well known in forests. This study aimed to investigate: (i) whether fine root biomass and production increased with successional stage and increasing tree species diversity; (ii) how forest type affected seasonal variation and regrowth of fine roots. Methods: Sequential coring and ingrowth core methods were used to measure fine root production in four Chinese subtropical forests differing in successional stages and species diversity. Results: Fine root biomass increased from 262 g·m−2 to 626 g·m−2 with increasing successional stage and species diversity. A similar trend was also found for fine root production, which increased from 86 to 114 g·m−2 yr −1 for Cunninghamia lanceolata plantation to 211–240 g·m−2 yr −1 for Choerospondias axillaries forest when estimated with sequential coring data. Fine root production calculated using the ingrowth core data ranged from 186 g·m−2 yr −1 for C. lanceolata plantation to 513 g·m−2 yr −1 for Lithocarpus glaber – Cyclobalanopsis glauca forest. Conclusions: Fine root biomass and production increased along a successional gradient and increasing tree species diversity in subtropical forests. Fine roots in forests with higher species diversity exhibited higher seasonal variation and regrowth rate. © 2013, Springer Science+Business Media Dordrecht.
语种：
英文
展开
Soil N forms and gross transformation rates in Chinese subtropical forests dominated by different tree species
作者：
Zeng, Yelin;Xiang, Wenhua* ;Deng, Xiangwen;Fang, Xi;Liu, Cong;...
期刊：
Plant and Soil ,2014年384(1-2):231-242 ISSN：0032-079X
通讯作者：
Xiang, Wenhua
作者机构：
[Xiang, Wenhua; Zeng, Yelin; Fang, Xi; Peng, Changhui; Liu, Cong; Deng, Xiangwen] Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.;[Peng, Changhui] Univ Quebec, Inst Environm Sci, Dept Biol Sci, Montreal, PQ H3C 3P8, Canada.
通讯机构：
[Xiang, Wenhua] C;Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.
关键词：
Soil N forms;N transformation rate;Tree species;N-15 isotope pool dilution;Microbial biomass;China subtropical forests
摘要：
Knowledge related to extent of differing soil N forms and N transformation rates in subtropical southern China is severely limited. Accordingly, the purpose of this study was to investigate if and how tree species of different foliage types (coniferous, deciduous, and evergreen broadleaved) influence N forms and microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN) content as well as gross N transformation rates in the organic and mineral soils of three distinct subtropical forests in China. Chloroform fumigation extraction was used to determine MBC and MBN content while N-15-isotope dilution techniques were used to measure gross N transformation rates. Canonical correspondence analysis (CCA) was used to quantify relationships between soil chemical characteristics and changes in soil N transformation rates. Soil N forms, MBC and MBN content, and N transformation rates were found to be significantly different between tree species. Deciduous forest soil exhibited the highest N transformation rates. Soil N transformation rates were closely associated with total soil C and N and MBC and MBN content. Soil substrate quantity and soil microbial activity play a more important role in soil N transformation processes than does soil quality in China's subtropical forests. Tree species type should therefore be taken into account when trying to determine ecosystem N cycling.
语种：
英文
展开
湘中丘陵区南酸枣阔叶林群落特征及群落更新
作者：
易好;邓湘雯;项文化;方晰;赵丽娟;...
期刊：
生态学报 ,2014年34(12):3463-3471 ISSN：1000-0933
通讯作者：
Deng, X.
作者机构：
中南林业科技大学生命科学与技术学院,长沙,410004;中南林业科技大学林学院,长沙,410004;[方晰; 邓湘雯; 项文化; 崔飞; 易好; 李家湘; 赵丽娟] 中南林业科技大学
通讯机构：
Central South University of Forestry and Technology, China
关键词：
南酸枣;植物多样性;落叶阔叶林;群落更新
摘要：
南酸枣阔叶林群落是湘中丘陵区的重要的森林群落类型之一,在森林演替过程中占有重要的地位。在湘中丘陵区长沙县大山冲林场的代表性群落---南酸枣阔叶林群落(The Choerospondias axillaries broad-leaved community)设立1 hm~2固定样地,对其群落学特征进行调查,分析其植物多样性和更新动态。结果表明:群落中胸径≥1cm的乔木树种共有25科42属59种。乔木层中南酸枣(Choerospondias axillaries)的重要值最大(23.57),是群落中的建群种;南酸枣胸径和树高结构均呈正态分布,南酸枣幼苗(1.0cm≤DBH<1.5cm)只有6株;群落中四川山矾(Symplocos setchuensis)的重要值(10.46)排第二,但胸径小于1.5 cm的幼树数量较多(占种群数量的22.0%),格药柃(Eurya muricata)、千年桐(Aleurites montana)和毛豹皮樟(Lindera coreana)的重要值分别为7.98(幼树数占种群数量的16.8%),5 .39(幼树数占种群数量的11.7%),4 .17(幼树数占种群数量的11.0%),这4个乔木树种的径级结构均呈倒J 型分布;林分的成层结构中,上层木主要为南酸枣,下层木主要为四川山矾、格药柃、千年桐和毛豹皮樟。林下幼苗主要为常绿阔叶树种,且更新良好,并将成为下一个演替阶段的建群种。南酸枣的幼苗更新不良情况说明其在群落中的优势地位在逐年降低,而四川山矾、格药柃、千年桐、毛豹皮樟等树种的优势地位呈上升趋势,表明湘中丘陵区的南酸枣阔叶林群落正在朝常绿阔叶林的方向演替。灌木、草本层中共有植物37种,重要值前5位的种为檵木(Loropetalum chinensis)、满山红(Rhododendron mariesii)、乌饭(Vaccinium bracteatum)、栀子(Gardenia jasminoides)、映山红(Rhododendron simsii)分别为54.59、21.85、4.98、4.63、4.53,其中,檵木和满山红在灌木层中的优势地位明显。
语种：
中文
展开
Applying an artificial neural network to simulate and predict Chinese fir (Cunninghamia lanceolata) plantation carbon flux in subtropical China
作者：
Wen, Xuding;Zhao, Zhonghui;Deng, Xiangwen* ;Xiang, Wenhua;Tian, Dalun;...
期刊：
Ecological Modelling ,2014年294:19-26 ISSN：0304-3800
通讯作者：
Deng, Xiangwen
作者机构：
[Wen, Xuding; Tian, Dalun; Zhao, Zhonghui; Zhou, Xiaolu; Xiang, Wenhua; Yan, Wende; Peng, Changhui; Deng, Xiangwen] Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Natl Engn Lab Appl Technol Forestry & Ecol South, Changsha 410004, Hunan, Peoples R China.;[Zhou, Xiaolu; Peng, Changhui] Univ Quebec, Dept Biol Sci, Ctr CEF ESCER, Montreal, PQ H3C 3P8, Canada.
通讯机构：
[Deng, Xiangwen] C;Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Natl Engn Lab Appl Technol Forestry & Ecol South, Changsha 410004, Hunan, Peoples R China.
关键词：
C flux;Cunninghamia lanceolata plantation;Artificial neural network;Nonlinear problem
摘要：
Carbon (C) flux between forest ecosystems and the atmosphere is an important ecosystem C cycling component. Modeling C flux plays a critical role in assessing both C cycles and budgets. This study aimed to determine important non-redundant input variables to quantify C flux and to develop a new application of a genetic neural network (GNN) model that accurately simulates C flux. Four input variables (atmospheric CO2 concentration, air temperature, photosynthetically active radiation (PAR), and relative humidity) were fixed, whereas three additional input variables (wind speed, soil temperature, and rainfall) were randomly combined to compile eight combinations of input variables (CIV 1-CIV 8). C flux and meteorological data were collected over a four-year period between January 2008 and December 2011 at the Huitong National Research Station of Forest Ecosystem. Results showed that CIV 8 (grouping atmospheric CO2 concentration, air temperature, PAR, relative humidity, wind speed, and soil temperature) performed best, yielding a correlation coefficient (R2) of 0.87, outlier of 0.79%, and a root mean squares of errors (RMSE) of 0.11. C flux data during summer generally provided the best performance with R2 ranging from 0.74 to 0.82, volumetric fitting (Ivf) ranging from 1.00 to 1.02, and outliers ranging from 1.20% to 1.40%. Spring data performance ranked second and winter last. When combining seasonal data to reflect the entire year, R2 ranged from 0.77 to 0.83, Ivf ranged from 0.92 to 0.97, outliers ranged from 1.40% to 1.78%, and RMSE ranged from 0.10 to 0.11, indicating that the GNN model is capable in capturing C flux dynamics while successfully simulating and predicting C flux in a Cunninghamia lanceolata plantation in subtropical China. © 2014.
语种：
英文
展开
中亚热带石栎-青冈群落物种组成、结构及区系特征
作者：
赵丽娟;项文化;李家湘;邓湘雯;刘聪
期刊：
林业科学 ,2013年49(12):10-17 ISSN：1001-7488
作者机构：
[赵丽娟; 项文化; 邓湘雯; 刘聪] 中南林业科技大学生命科学与技术学院;[李家湘] 中南林业科技大学林学院
关键词：
常绿阔叶林;地理成分;群落结构;中国-日本森林植物区;群落起源
摘要：
利用1 hm~2固定样地数据,分析湖南省长沙县大山冲国有林场石栎-青冈群落的种类组成、群落结构及区系特征。结果表明:群落中胸径≥1 cm的植物共38科55属73种,常绿种(50.68%)和落叶种(49.32%)所占的比例相当,没有大型木质藤本;壳斗科重要值最大,达35.94,是群落的优势建群科;植物种数、个体数量、胸径级和高度级呈倒“J”型分布,表明群落垂直结构的层次分化明显,结构稳定,更新良好;该群落具有典型亚热带区系性质,与日本森林植物群落具有极大的相似性,属于东部典型常绿阔叶林的石栎-青冈群系组,起源应不迟于第三纪。
语种：
中文
展开
Secondary forest floristic composition, structure, and spatial pattern in subtropical China
作者：
Xiang, Wenhua* ;Liu, Shaohui;Lei, Xiangdong;Frank, Shane C.;Tian, Dalun;...
期刊：
Journal of Forest Research ,2013年18(1):111-120 ISSN：1341-6979
通讯作者：
Xiang, Wenhua
作者机构：
[Tian, Dalun; Wang, Guangjun; Liu, Shaohui; Xiang, Wenhua; Deng, Xiangwen] Cent S Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.;[Liu, Shaohui] China State Forestry Adm, Dept Dev Planning & Assets Management, Beijing 100714, Peoples R China.;[Lei, Xiangdong] Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China.;[Frank, Shane C.] Univ Freiburg, Inst Silviculture, D-79106 Freiburg, Germany.
通讯机构：
[Xiang, Wenhua] C;Cent S Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.
关键词：
Alniphyllum fortunei;Cyclobalanopsis glauca;Forest successional dynamics;Liquidambar formosana;Spatial pattern
摘要：
Secondary evergreen broadleaved forests are precious remnants for biodiversity conservation and templates for sustainable management of natural forests in subtropical China. Floristic composition, size structure, and spatial pattern of dominant tree species have been investigated for a subtropical secondary evergreen broadleaved forest in the Huitong Yingzuijie National Forest Reserve, Hunan, China. The location of all trees greater than 4 cm in diameter at breast height (DBH) were mapped within a 0. 96-ha plot in which species, DBH, and total tree height were recorded. Ripley's K(t) function was used to analyze spatial patterns and associations. The secondary forest consisted of 74 tree species and 1,596 stems per hectare. A reverse-J shaped DBH classes distribution was observed for all stems and trees of later seral species whereas trees of earlier successional species were distributed irregularly. Significant aggregated spatial patterns were observed for all trees within the forest and for conspecific trees of each dominant species. This result, and a repulsive spatial pattern for interspecific trees of Choerospondias axillaries and Cyclobalanopsis glauca against other dominant tree species, support segregation hypothesis. Contributions of seed dispersal, topographic heterogeneity, and competition to spatial patterns of conspecific trees vary depending on tree species. Attractive spatial pattern among interspecific trees of Liquidambarfortunei, Liquidambarformosana, and Pinusmassoniana reflects stochastic colonization of pioneer tree species and a facilitation relationship. Although deciduous species are long-lived and persist over long successional processes, they will eventually be replaced by late seral evergreen species within the secondary forest if no disturbance events occur. ©2011 The Japanese Forest Society and Springer.
语种：
英文
展开
Effects of Increased Nitrogen Deposition and Rotation Length on Long-Term Productivity of Cunninghamia lanceolata Plantation in Southern China
作者：
Zhao, Meifang;Xiang, Wenhua* ;Tian, Dalun;Deng, Xiangwen;Huang, Zhihong;...
期刊：
PLOS ONE ,2013年8(2):e55376 ISSN：1932-6203
通讯作者：
Xiang, Wenhua
作者机构：
[Tian, Dalun; Zhao, Meifang; Huang, Zhihong; Xiang, Wenhua; Peng, Changhui; Deng, Xiangwen] Cent S Univ Forestry & Technol, Fac Life Sci & Technol, Changsha, Hunan, Peoples R China.;[Zhou, Xiaolu; Peng, Changhui] Univ Quebec, Dept Biol Sci, Inst Environm Sci, Montreal, PQ H3C 3P8, Canada.
通讯机构：
[Xiang, Wenhua] C;Cent S Univ Forestry & Technol, Fac Life Sci & Technol, Changsha, Hunan, Peoples R China.
关键词：
Forests;Forest ecology;Wood;Trees;Biomass;Ecological productivity;Ecosystems;Simulation and modeling
摘要：
Cunninghamia lanceolata (Lamb.) Hook. has been widely planted in subtropical China to meet increasing timber demands, leading to short-rotation practices that deplete soil nutrients. However, increased nitrogen (N) deposition offsets soil N depletion. While long-term experimental data investigating the coupled effects related to short rotation practices and increasing N deposition are scarce, applying model simulations may yield insights. In this study, the CenW3.1 model was validated and parameterized using data from pure C. lanceolata plantations. The model was then used to simulate various changes in long-term productivity. Results indicated that responses of productivity of C. lanceolata plantation to increased N deposition were more related to stand age than N addition, depending on the proportion and age of growing forests. Our results have also shown a rapid peak in growth and N dynamics. The peak is reached sooner and is higher under higher level of N deposition. Short rotation lengths had a greater effect on productivity and N dynamics than high N deposition levels. Productivity and N dynamics decreased as the rotation length decreased. Total productivity levels suggest that a 30-year rotation length maximizes productivity at the 4.9 kg N ha−1 year−1 deposition level. For a specific rotation length, higher N deposition levels resulted in greater overall ecosystem C and N storage, but this positive correlation tendency gradually slowed down with increasing N deposition levels. More pronounced differences in N deposition levels occurred as rotation length decreased. To sustain C. lanceolata plantation productivity without offsite detrimental N effects, the appropriate rotation length is about 20–30 years for N deposition levels below 50 kg N ha−1 year−1 and about 15–20 years for N deposition levels above 50 kg N ha−1 year−1. These results highlight the importance of assessing N effects on carbon management and the long-term productivity of forest ecosystems.
语种：
英文
展开
Differences in fine root traits between early and late-successional tree species in a Chinese subtropical forest
作者：
Xiang, Wenhua* ;Wu, Wei;Tong, Jie;Deng, Xiangwen;Tian, Dalun;...
期刊：
FORESTRY ,2013年86(3):343-351 ISSN：0015-752X
通讯作者：
Xiang, Wenhua
作者机构：
[Tian, Dalun; Xiang, Wenhua; Wu, Wei; Peng, Changhui; Liu, Cong; Tong, Jie; Zhang, Lei; Deng, Xiangwen] Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.;[Peng, Changhui] Univ Quebec, Inst Environm Sci, Dept Biol Sci, Montreal, PQ H3C 3P8, Canada.
通讯机构：
[Xiang, Wenhua] C;Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.
摘要：
The aim of this study was to compare fine root (≤2 mm diameter) traits (i.e. biomass distribution and architecture) of three tree species (Alniphyllum fortunei, Liquidambar formosana and Cyclobalanopsis glauca) growing in a mixed-species stand in a subtropical forest. Fine root samples were collected using soil cores. The collected samples were scanned with the Win-RHIZO system to analyse architectural parameters and were then oven-dried to determine dry mass. Fine roots of the three species were mainly distributed in the top 15 cm of soil and decreased with soil depth across all horizontal distances. C. glauca had the highest fine root biomass at 15-30 cm depth at 1.0 m from the tree trunk. The specific fine root area (SRA) and the length (SRL) were the highest for C. glauca, followed by L. formosana and A. fortunei. These species use different soil exploitation strategies. The early-successional species (A. fortunei and L. formosana) increase their fine root biomass and length through high carbon investment, whereas late-successional species (C. glauca) increase nutrient uptake efficiency via changes in fine root morphology and higher SRA and SRL values. In secondary broadleaved forest management and mixed plantation establishment, root trait differences among tree species and their effects on belowground competition and species coexistence should be considered. © Institute of Chartered Foresters, 2013. All rights reserved.
语种：
英文
展开
Application of TRIPLEX model for predicting Cunninghamia lanceolata and Pinus massoniana forest stand production in Hunan Province, southern China
作者：
Zhao, Meifang;Xiang, Wenhua* ;Deng, Xiangwen;Tian, Dalun;Huang, Zhihong;...
期刊：
Ecological Modelling ,2013年250:58-71 ISSN：0304-3800
通讯作者：
Xiang, Wenhua
作者机构：
[Tian, Dalun; Zhao, Meifang; Huang, Zhihong; Xiang, Wenhua; Peng, Changhui; Deng, Xiangwen] Cent S Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.;[Zhou, Xiaolu; Peng, Changhui] Univ Quebec, Dept Biol Sci, Inst Environm Sci, Montreal, PQ H3C 3P8, Canada.;[He, Honglin; Yu, Guirui] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
通讯机构：
[Xiang, Wenhua] C;Cent S Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.
关键词：
Carbon storage;NPP prediction;Subtropical coniferous forest;TRIPLEX model;Validation
摘要：
The process-based hybrid model is a promising tool for predicting forest stand production on regional scales. TRIPLEX1.6 was adapted and parameterized to simulate Cunninghamia lanceolata and Pinus massoniana forest stand production in Hunan Province, China, using data from permanent sample plots established by the National Forest Inventory of China (CNFI). Monthly maximum and minimum air temperature and precipitation (derived from interpolation of the data collected at 369 meteorological stations in Hunan between 2000 and 2009) were used to run the model. Model calibrations and simulations were performed through threshold parameters and initial statuses at a regional scale. The species- and site-specific sensitive parameters were adjusted for estimating tree growth rate of different stand age or diameter at breast height (DBH). The improved parameterize procedure actually did increase model practicability. The site and species data for model validation were achieved by applying half the 2009 permanent sample plot data. Estimated stand average tree height (H), DBH, and biomass were validated against the other half of the 2009 data. Simulated results were consistent with the observed data in Hunan Province. Coefficients of determination (r2) of predicted and observed data were 0.83 for H, 0.82 for DBH, 0.90 for aboveground biomass, and 0.94 for total biomass, indicating that TRIPLEX1.6 is capable in predicting forest growth and biomass dynamics of subtropical coniferous forests. Moreover, independent validations determined that TRIPLEX1.6 demonstrated competence in extrapolating outcomes on regional scales as well as withstanding rigorous testing in predicting C storage in subtropical forest ecosystems. © 2012 Elsevier B.V.
语种：
英文
展开
不同生长阶段马尾松生产力与气候因子的关系
作者：
张丽云;邓湘雯;雷相东;赵仲辉;项文化;...
期刊：
生态学杂志 ,2013年32(5):1104-1110 ISSN：1000-4890
通讯作者：
Deng, X.-W.
作者机构：
[张丽云] Central South University of Forestry and Technology, Changsha 410004, China;National Engineering Laboratory for Applied Technology of Forestry and Ecology in South China, Changsha 410004, China;[雷相东] Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China;[项文化; 闫文德; 赵仲辉; 邓湘雯] Central South University of Forestry and Technology, Changsha 410004, China, National Engineering Laboratory for Applied Technology of Forestry and Ecology in South China, Changsha 410004, China
通讯机构：
[Deng, X.-W.] C;Central South University of Forestry and Technology, Changsha 410004, China
关键词：
马尾松;生产力;气候因子;气候湿润指数
摘要：
林木生产力的大小与气候密切相关,掌握不同年龄阶段林木生产力与气候因子的关系对生产力预测及森林经营具有重要意义。本文利用1964—2011年温度、降水、相对湿度、日照时数等气象资料,结合气候湿润指数,运用树干解析数据,定量研究了马尾松生产力与气候因子的关系。结果表明:影响幼龄阶段、中龄阶段和近熟阶段马尾松单木生产力的气候因子各不相同,幼龄时期的单木生产力与3月相对湿度和1月的气候湿润状况显著相关;中龄阶段马尾松生长的限制因子为10月、7月高温和9月的日照时数,7月和5月的湿润状况对其生产力也有显著影响;近熟阶段马尾松生产力的大小与7月的降水量和湿润状况呈极显著正相关(P<0. 001)。研究区域湿润温暖的气候基本满足了马尾松生长对水分和热量的要求,但生长中期的高温少雨限制了中龄阶段和近熟阶段马尾松单木生产力的增长。
语种：
中文
展开
邵阳县石漠化植被恢复湿地松人工林林分结构的研究
作者：
江蕾;邓湘雯;黄小健;刘豪健;彭长辉
期刊：
中南林业科技大学学报 ,2013年33(4):82-86 ISSN：1673-923X
作者机构：
[江蕾; 邓湘雯; 彭长辉] 中南林业科技大学生命科学与技术学院;南方林业生态应用技术国家工程实验室;[黄小健; 刘豪健] 邵阳县林业局;Institute of Environment Sciences
关键词：
石漠化;植被恢复;群落结构;直径结构;树高结构;邵阳县
摘要：
石漠化植被恢复已受到人们的广泛关注。湿地松前期生长快,是湘西南石漠化植被恢复的首选树种之一。以邵阳县石漠化植被恢复湿地松人工林为研究对象,采用随机标准地法对湿地松林分进行调查,分别研究了不同石漠化程度下湿地松人工林的群落结构、胸径和树高结构。结果表明:湿地松人工林林下植被共有21科27种,其中灌木6科,6种,草本15科,21种;3类石漠化程度下湿地松林下植被种类从高到低排序为:轻度(59.0%)>中度(37.0%)>重度(25.9%)。轻度石漠化湿地松林直径分布呈正态分布,生长状况良好,其余两个立地条件下的直径分布不规则,不符合一般人工林径级分布规律。树高分布中,轻度石漠化人工林分布曲线呈正态分布,长势良好;中度石漠化林分树高分布较集中,主要在6~7 m,小树较少;重度石漠化树高分布范围广,且尖峭,树高生长主要受土壤等立地条件的影响,受林分密度的影响较小;中度和重度树高生长呈现散生木的生长特征;立地条件的优劣决定了整个林分的树高和胸径结构。
语种：
中文
展开
Plant phenological modeling and its application in global climate change research: overview and future challenges
作者：
Zhao, Meifang;Peng, Changhui* ;Xiang, Wenhua;Deng, Xiangwen;Tian, Dalun;...
期刊：
ENVIRONMENTAL REVIEWS ,2013年21(1):1-14 ISSN：1208-6053
通讯作者：
Peng, Changhui
作者机构：
[Tian, Dalun; Zhao, Meifang; Zhao, Zhonghui; Xiang, Wenhua; Peng, Changhui; Deng, Xiangwen] Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.;[Zhou, Xiaolu; Peng, Changhui] Univ Quebec, Inst Environm Sci, Dept Biol Sci, Montreal, PQ H3C 3P8, Canada.;[He, Honglin; Yu, Guirui] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
通讯机构：
[Peng, Changhui] C;Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.
关键词：
plant phenology;climate change;NDVI;ecological forecasting;process-based model;phénologie végétale;changement climatique;NDVI;prévisions écologiques;modèle basé sur des processus
摘要：
Plants interact to the seasonality of their environments, and changes in plant phenology have long been regarded as sensitive indicators of climatic change. Plant phenology modeling has been shown to be the simplest and most useful tool to assess phenol-climate shifts. Temperature, solar radiation, and water availability are assumed to be the key factors that control plant phenology. Statistical, mechanistic, and theoretical approaches have often been used for the parameterization of plant phenology models. The statistical approaches correlate the timing of phenological events to environmental factors or heat unit accumulations. The approaches have the simplified calculation procedures, correct phenological mechanism assumptions, but limited applications and predictive abilities. The mechanistic approaches describe plant phenology with the known or assumed "cause-effect relationships" between biological processes and key driving variables. The mechanistic approaches have the improved parameter processes, realistic assumptions, broad applications, and effective predictions. The theoretical approaches assume cost-benefit tradeoff strategies in trees. These methods are capable of capturing and quantifying the potential impacts and consequences of global climate change and human activity. However, certain limitations still exist related to our understanding of phenological mechanisms in relation to (1) interactions between plants and their specific climates, (2) the integration of both field observational and remote sensing data with plant phenology models across taxa and ecosystem type, (3) amplitude clarification of scale-related sensitivity to global climate change, and (4) improvements in parameterization processes and the overall reduction of modeling uncertainties to forecast impacts of future climate change on plant phenological dynamics. To improve our capacity in the prediction of the amplitude of plant phenological responses with regard to both structural and functional sensitivity to future global climate change, it is important to refine modeling methodologies by applying long-term and large-scale observational data. It is equally important to consider other less used but critical factors (such as heredity, pests, and anthropogenic drivers), apply advanced model parameterization and data assimilation techniques, incorporate process-based plant phenology models as a dynamic component into global vegetation dynamic models, and test plant phenology models against long-term ground observations and high-resolution satellite data across different spatial and temporal scales. ©2013 Published by NRC Research Press.
语种：
英文
展开
基于TRIPLEX模型的湖南省杉木林生产力模拟及预测
作者：
王灿;项文化;赵梅芳;邓湘雯;彭长辉
期刊：
中南林业科技大学学报 ,2012年32(6):104-109 ISSN：1673-923X
作者机构：
[赵梅芳; 邓湘雯; 项文化; 王灿] 湖南会同杉木林生态系统国家野外科学观测研究站,湖南会同438107;[赵梅芳; 邓湘雯; 项文化; 王灿] 中南林业科技大学生命科学与技术学院,湖南长沙410004;加拿大魁北克大学环境科学研究所,加拿大蒙特利尔H3C 3P8;[彭长辉] 湖南会同杉木林生态系统国家野外科学观测研究站
关键词：
杉木林;生物量动态;TRIPLEX模型;空间分异;气候变化
摘要：
杉木Cunnighamia lanceolata是我国优良速生用材树种,其面积达921万hm2,占全国人工用材林面积的30.4%。用机理性模型在区域尺度上研究杉木林生产量可为估算杉木林固碳潜力、预测其对气候变化的响应和提高经营管理水平提供科学依据。利用气象、水文、土壤及植物等方面数据,对TRIPLEX 1.6模型进行参数化,用森林资源调查样地数据对模型进行验证,模拟湖南省杉木林1991~2040年生物量与生产力动态变化、空间分布格局。结果表明:模拟值与实测值之间拟合度高(p=0.995),TRIPLEX1.6模型可应用于模拟亚热带杉木林生长和生产量的动态变化。2010~2018年湖南省杉木林生产力(NPP)为迅速增长期,此后NPP缓慢下降,2008年所有样地杉木林平均年龄为23 a,单位面积平均NPP达到最大值(8.09 t.hm~(-2)a~(-1)),2010~2060年间平均值为6.96 t.hm~(-2)a~(-1)。
语种：
中文
展开
Simulations of runoff and evapotranspiration in Chinese fir plantation ecosystems using artificial neural networks
作者：
Liu, Zelin;Peng, Changhui* ;Xiang, Wenhua;Deng, Xiangwen;Tian, DaLun;...
期刊：
Ecological Modelling ,2012年226:71-76 ISSN：0304-3800
通讯作者：
Peng, Changhui
作者机构：
[Tian, DaLun; Zhao, Meifang; Liu, Zelin; Xiang, Wenhua; Peng, Changhui; Deng, Xiangwen] Cent S Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.;[Peng, Changhui] Univ Quebec, Inst Environm Sci, Dept Biol Sci, Montreal, PQ H3C 3P8, Canada.;[Yu, Guirui] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.;[Peng, Changhui] Univ Quebec, Inst Environm Sci, Dept Biol Sci, Case Post Ale 8888,Succ Ctr Ville, Montreal, PQ H3C 3P8, Canada.
通讯机构：
[Peng, Changhui] U;Univ Quebec, Inst Environm Sci, Dept Biol Sci, Case Post Ale 8888,Succ Ctr Ville, Montreal, PQ H3C 3P8, Canada.
关键词：
Back propagation neural network;Genetic neural network;Model validation;Nonlinear problem;Watersheds
摘要：
Runoff and evapotranspiration are two key variables of water budget in forest ecosystems. Modeling runoff and evapotranspiration dynamics play a vital role in assessing the hydrology cycle and function of forest ecosystems. Based on the hydrological and meteorological data collected over 20 years from January of 1988 to December of 2007 at Huitong National Forest Ecosystem Research Station, we used back propagation neural network (BPNN) and genetic neural network (GNN) models to simulate runoff and evapotranspiration of Chinese fir plantations for two watersheds located in Huitong county of Hunan Province, China. The purpose of this study was to accurately simulate runoff and evapotranspiration dynamics using both BPNN and GNN models. The model simulations of the runoff and evapotranspiration indicated that the GNN model concurrently possesses efficiency, effectiveness, and robustness. Moreover, the simulated results of GNN and BPNN model were compared with a multivariate statistics (M-slat) model. We found that the GNN model performed better than M-slat and BPNN models for modeling both runoff and evapotranspiration of Chinese fir plantations in China. © 2011 Elsevier B.V.
语种：
英文
展开
Determining stem biomass of Pinus massoniana L. through variations in basic density
作者：
Zhang, Liyun;Deng, Xiangwen* ;Lei, XiangDong;Xiang, Wenhua;Peng, Changhui;...
期刊：
FORESTRY ,2012年85(5):601-609 ISSN：0015-752X
通讯作者：
Deng, Xiangwen
作者机构：
[Lei, Pifeng; Xiang, Wenhua; Yan, Wende; Zhang, Liyun; Peng, Changhui; Deng, Xiangwen] Cent S Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.;[Lei, XiangDong] Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China.;[Peng, Changhui] Univ Quebec, Dept Biol Sci, Inst Environm Sci, Montreal, PQ H3C 3P8, Canada.
通讯机构：
[Deng, Xiangwen] C;Cent S Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.
摘要：
Basic density is a key variable with which to express wood properties, but little attention has been paid to basic density traits in determining stem biomass. A total of 108 Pinus massoniana L. trees were selected from six sites in Hunan Province, China. Cross-sectional discs were cut for analysis using the stem analysis method. Results showed that the highest average basic density per stem for the six sites was 509.1 kg m-3 and the lowest 448.9 kg m-3. Basic density was significantly different (P < 0.05) among the sites. A significant effect of tree age on wood density was confirmed. Furthermore, the linear-mixed model was used to predict stem biomass. The allometric equation incorporating basic density at 10 of tree height (Model 4) was compared with the equation using only diameter at breast height and tree height as independent variables. The mean stem biomass predicted by Model 4 (16.5 kg tree-1) was not significantly different from the observed value (15.8 kg tree-1). The results indicated that incorporating basic density as part of the independent variables could improve model fitness. © 2012 Institute of Chartered Foresters. All rights reserved.
语种：
英文
展开
森林土壤氧化(吸收)甲烷研究进展
作者：
邓湘雯;杨晶晶;陈槐;黄志宏;项文化;...
期刊：
生态环境学报 ,2012年21(3):577-583 ISSN：1674-5906
作者机构：
[邓湘雯; 彭长辉; 项文化; 黄志宏] 中南林业科技大学生命科学与技术学院,湖南长沙410004;[邓湘雯; 项文化; 黄志宏] 南方林业生态应用技术国家工程实验室,湖南长沙410004;[邓湘雯; 项文化; 黄志宏] 湖南会同杉木林生态系统国家野外科学观测研究站,湖南会同418307;中南林业科技大学生命科学与技术学院,湖南长沙,410004;西北农林科技大学林学院,陕西杨凌,712100
关键词：
甲烷;森林生态系统;土壤;氧化(吸收);甲烷氧化菌
摘要：
甲烷是一种重要的温室气体,对全球气候变暖的贡献仅次于CO_2,约为25%。大气甲烷可以被土壤中甲烷氧化细菌在有氧条件下吸收利用,陆地生态系统森林土壤氧化吸收甲烷的研究已有大量报道。甲烷氧化菌是以甲烷作为唯一的碳源和能源的一类细菌的总称。但森林土壤在全球甲烷核算中具有一定的不确定性,取决于产甲烷菌和甲烷氧化菌的相对活性。甲烷氧化菌的研究集中在环境对氧化能力的影响和自身氧化能力上。大气甲烷氧化过程为高氧化能力低亲力氧化,受到一些因子,如土壤温度、土壤通气状况、pH、氮肥等的影响,具体机理的研究还有待进一步深入。土壤通气状况受土壤质地与土壤水分影响,土地利用类型可能改变土壤容重、土壤结构和土壤水分,进而影响土壤甲烷氧化。植物可以通过自身对生境的作用或化感作用影响土壤甲烷氧化。土壤动物的研究则相对较少,目前排放清单中仅有白蚁是全球甲烷核算所包括的。从甲烷氧化菌的分类出发,对甲烷氧化菌氧化甲烷的机理、菌的生态分布及甲烷氧化的影响因素、时空异质性、观测方法等作出了综述,为正确认识和准确预测森林土壤在一定气候和土地利用类型条件下的甲烷氧化强度提供理论依据。
语种：
中文
展开
4种典型亚热带森林生态系统生长季地表N2O通量特征
作者：
邓杰;邓湘雯;黄志宏;陈槐;项文化;...
期刊：
中国农学通报 ,2012年28(13):6-13 ISSN：1000-6850
作者机构：
中南林业科技大学生命科学与技术学院,长沙,410004;[邓湘雯; 彭长辉; 项文化; 黄志宏] 中南林业科技大学生命科学与技术学院,长沙410004;[邓湘雯; 项文化; 黄志宏] 南方林业生态应用技术国家工程实验室;[邓湘雯; 项文化; 黄志宏] 长沙410004;[邓湘雯; 项文化; 黄志宏] 湖南会同杉木林生态系统国家野外科学观测研究站,湖南会同418307
关键词：
地表N2O通量;生长季;大山冲森林公园;林分类型
摘要：
为了探讨森林地表N2O通量特征,在湖南省大山冲森林公园选取4种典型的亚热带森林类型：杉木人工纯林（CL）、马尾松-石栎-南酸枣针阔混交林（PM）、南酸枣-豹皮樟-四川山矾-台湾冬青阔叶混交林（CA）、青冈-石栎-马尾松-南酸枣常绿阔叶林（CG）,采用静态暗箱-气相色谱法测定4种森林类型的地表N2O通量,研究亚热带地区典型森林类型土壤N2O通量在生长季的变化特征。结果表明：在生长季除南酸枣-石栎林表现为N2O的汇外[-27.21μg/（m^2·h）],其余3种林分地表通量均表现为N2O的源,平均通量按从大到小的顺序为：马尾松-石栎林[34.61μg/（m^2·h）]〉杉木纯林[30.48μg/（m^2·h）]〉青冈林-石栎[5.82μg/（m^2·h）];从整个生长季来看,不同坡位马尾松-石栎林、杉木纯林、青冈林-石栎和南酸枣-石栎地表N2O通量的变化不明显;相关性分析表明,不同林分之间的N2O通量与土壤湿度、温度等理化性质有密切关系,土壤水分是影响该地区森林地表N2O通量的主要因子,温度通过影响土壤水分间接影响土壤N2O的释放量。
语种：
中文
展开
湘西南石漠化地区不同植被恢复模式的土壤有机碳研究
作者：
徐杰;邓湘雯;方晰;黄小健;刘豪健;...
期刊：
水土保持学报 ,2012年26(6):171-174,179 ISSN：1009-2242
作者机构：
中南林业科技大学生命科学与技术学院,长沙,410004;[方晰; 邓湘雯] 中南林业科技大学生命科学与技术学院,长沙410004 南方林业生态应用技术国家工程实验室,长沙410004;湖南省邵阳县林业局,湖南邵阳,422100;[彭长辉] 中南林业科技大学生命科学与技术学院,长沙410004 Institute of Environment Sciences, University of Quebec at Montreal, Montreal H3C 3P8 ,Canada;[徐杰] 中南林业科技大学
关键词：
石漠化;邵阳县;土壤有机碳;植被恢复
摘要：
以湘西南石漠化地区侧柏纯林、侧柏+枫香混交林、湿地松+枫香混交林、栾树纯林和封山育林5种植被恢复模式下的土壤为研究对象,通过野外土壤剖面调查和土壤样品化学分析,研究石漠化地区植被恢复过程中不同层次、不同坡位、不同林龄的土壤有机碳特征。结果表明:(1) 5种林分土壤有机碳含量为栾树纯林>封山育林>侧柏纯林>侧柏+枫香混交林>湿地松+枫香混交林,并随土壤深度增加而递减,各林分变化幅度不同,且各土层之间差异显著。(2)随林龄的增加,土壤有机碳含量增加且主要集中在土壤表层。(3)同一林分下,不同坡位有机碳含量变化为下坡>中坡>上坡。(4)土壤有机碳密度在5种林分中差异显著,并随土壤深度增加而减少;在整个土壤剖面上,有机碳密度为54.22 ~96.52 t/hm~2,其中0-15cm有机碳密度的贡献率达55.95%。
语种：
中文
展开
