GSTDTAP

浏览/检索结果: 共10条,第1-10条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
Evaluating individual-based tree mortality modeling with temporal observation data collected from a large forest plot 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 450
作者:  Zhu, Yu;  Liu, Zhili;  Jin, Guangze
收藏  |  浏览/下载:8/0  |  提交时间:2019/11/27
Forest dynamics plot (FDP)  Individual-based model (IBM)  Tree mortality  Model evaluation  Temperate forest  
Tree height explains stand volume of closed-canopy stands: Evidence from forest inventory data of China 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 438: 51-56
作者:  Xu Yanli;  Li Chao;  Sun Zhichao;  Jiang Lichun;  Fang Jingyun
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/26
Tree height  Canopy density  Stand volume  Closed canopy  National Forest inventory data  
Using LiDAR to develop high-resolution reference models of forest structure and spatial pattern 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 434: 318-330
作者:  Wiggins, Haley L.;  Nelson, Cara R.;  Larson, Andrew J.;  Safford, Hugh D.
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
Forest structure  Spatial pattern  Ecological reference model  Sierra de San Pedro Martir  Spatial scale  Landscape restoration  LiDAR  
The importance of small fire refugia in the central Sierra Nevada, California, USA 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 432: 1041-1052
作者:  Blomdahl, Erika M.;  Kolden, Crystal A.;  Meddens, Arjan J. H.;  Lutz, James A.
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
Fire heterogeneity  Fire mortality  Fire severity  Smithsonian ForestGEO  Yosemite National Park  Yosemite Forest Dynamics Plot  
Quantifying driving factors of vegetation carbon stocks of Moso bamboo forests using machine learning algorithm combined with structural equation model 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2018, 429: 406-413
作者:  Shi, Yongjun;  Xu, Lin;  Zhou, Yufeng;  Ji, Biyong;  Zhou, Guomo;  Fang, Huiyun;  Yin, Jiayang;  Deng, Xu
收藏  |  浏览/下载:9/0  |  提交时间:2019/04/09
Vegetation carbon stocks  Carbon sequestration  Driving factors  Machine learning method  Structural equation modeling  Phyllostachys pubescens  
Using volume-weighted average wood specific gravity of trees reduces bias in aboveground biomass predictions from forest volume data 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2018, 424: 519-528
作者:  Sagang, Le Bienfaiteur Takougoum;  Momo, Stephane Takoudjou;  Libalah, Moses Bakonck;  Rossi, Vivien;  Fonton, Noel;  Mofack, Gislain Ii;  Kamdem, Narcisse Guy;  Nguetsop, Victor Francois;  Sonke, Bonaventure;  Pierre, Ploton;  Barbier, Nicolas
收藏  |  浏览/下载:12/0  |  提交时间:2019/04/09
Wood specific gravity  Terrestrial LiDAR  Aboveground biomass  Linear model  Error propagation  Cameroon eastern forest  Remote sensing  
Forage availability and moose winter browsing in forest landscapes 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2018, 419: 170-178
作者:  Bergqvist, Goran;  Wallgren, Martha;  Jernelid, Hans;  Bergstrom, Roger
收藏  |  浏览/下载:2/0  |  提交时间:2019/04/09
Browsing  Forage  Ideal free distribution  Landscape  Moose  
Evaluation of alternative approaches for landscape-scale biomass estimation in a mixed-species northern forest 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2018, 409: 552-563
作者:  Hoover, Coeli M.;  Ducey, Mark J.;  Colter, R. Andy;  Yamasaki, Mariko
收藏  |  浏览/下载:2/0  |  提交时间:2019/04/09
Aboveground biomass  LiDAR  Forest inventory  
Tree spatial patterns and stand attributes in temperate forests: The importance of plot size, sampling design, and null model 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2018, 407: 125-134
作者:  Carrer, Marco;  Castagneri, Daniele;  Popa, Ionel;  Pividori, Mario;  Lingua, Emanuele
收藏  |  浏览/下载:7/0  |  提交时间:2019/04/09
Forest structure  Permanent plot  Sampling design  Spatial pattern analysis  
Coexistence, association and competitive ability of Quercus petraea and Quercus robur seedlings in naturally regenerated mixed stands 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2017, 390
作者:  Collet, Catherine;  Manso, Ruben;  Barbeito, Ignacio
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
Natural regeneration  Species coexistence  Spatial pattern  Pair correlation function  Competition  Growth model