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Using fine scale resolution vegetation data from LiDAR and ground-based sampling to predict Pacific marten resting habitat at multiple spatial scales 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 452
作者:  Tweedy, Patrick J.;  Moriarty, Katie M.;  Bailey, John D.;  Epps, Clinton W.
收藏  |  浏览/下载：9/0  |  提交时间：2019/11/27
Pacific marten  Martes caurina  LiDAR  Multi-scale  Habitat modeling  California  
Integration of WorldView-2 and airborne laser scanning data to classify defoliation levels in Quercus ilex L. Dehesas affected by root rot mortality: Management implications 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 451
作者:  Navarro-Cerrillo, Rafael M.;  Varo-Martinez, Ma Angeles;  Acosta, Cristina;  Palacios Rodriguez, Guillermo;  Sanchez-Cuesta, Rafael;  Gomez, Francisco J. Ruiz
收藏  |  浏览/下载：15/0  |  提交时间：2019/11/27
Dehesas forest type  Holm oak decline  Defoliation  Predictor remote sensing datasets  Segmentation  Random forest  
On promoting the use of lidar systems in forest ecosystem research 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 450
作者:  Beland, Martin;  Parker, Geoffrey;  Sparrow, Ben;  Harding, David;  Chasmer, Laura;  Phinn, Stuart;  Antonarakis, Alexander;  Strahler, Alan
收藏  |  浏览/下载：14/0  |  提交时间：2019/11/27
Lidar systems  Lidar products  Forest structure  
Physical recovery of forest soil after compaction by heavy machines, revealed by penetration resistance over multiple decades 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 449
作者:  Mohieddinne, Hamza;  Brasseur, Boris;  Spicher, Fabien;  Gallet-Moron, Emilie;  Buridant, Jerome;  Kobaissi, Ahmad;  Horen, Helene
收藏  |  浏览/下载：12/0  |  提交时间：2019/11/27
Forest  Logging operations  Luvisol  Podzol  Penetrometer  Ruts  Biological activity  Resilience  
Do forest edges reduce timber productivity - Implications for retention forestry techniques 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 448: 208-217
作者:  Baker, Thomas P.;  Scott, Robyn E.;  Neyland, Mark G.;  Musk, Robert A.
收藏  |  浏览/下载：5/0  |  提交时间：2019/11/27
Assessment of multi-wavelength SAR and multispectral instrument data for forest aboveground biomass mapping using random forest kriging 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 447: 12-25
作者:  Chen, Lin;  Wang, Yeqiao;  Ren, Chunying;  Zhang, Bai;  Wang, Zongming
收藏  |  浏览/下载：5/0  |  提交时间：2019/11/27
ALOS-2 L band SAR  Sentinel-2 MSI  Sentinel-1C band SAR  SRTM DEM  Random forest kriging  Forest aboveground biomass  
Utilizing a topographic moisture index to characterize understory vegetation patterns in the boreal forest 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 447: 35-52
作者:  Echiverri, Laureen;  Macdonald, S. Ellen
收藏  |  浏览/下载：11/0  |  提交时间：2019/11/27
Understory vegetation  Boreal forest  Depth-to-water  Moisture index  EMEND  
Predicting patterns of vegetation recovery on seismic lines: Informing restoration based on understory species composition and growth 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 446: 175-192
作者:  Finnegan, Laura;  Pigeon, Karine E.;  MacNearney, Doug
收藏  |  浏览/下载：2/0  |  提交时间：2019/11/27
Seismic lines  Habitat restoration  Linear disturbances  Wildlife forage  Caribou  Mapping  
Pre-stratified modelling plus residuals kriging reduces the uncertainty of aboveground biomass estimation and spatial distribution in heterogeneous savannas and forest environments 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 445: 96-109
作者:  Silveira, Eduarda M. O.;  Espirito Santo, Fernando D.;  Wulder, Michael A.;  Acerbi Junior, Fausto W.;  Carvalho, Monica C.;  Mello, Carlos R.;  Mello, Jose M.;  Shimabukuro, Yosio E.;  Nunes Santos Terra, Marcela Castro;  Carvalho, Luis Marcelo T.;  Scolforo, Jose R. S.
收藏  |  浏览/下载：5/0  |  提交时间：2019/11/27
AGB  Random forests  Brazilian biomes  Climate  Seasonality  
Forest structure predictive of fisher (Pekania pennanti) dens exists in recently burned forest in Yosemite, California, USA 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 444: 174-186
作者:  Blomdahl, Erika M.;  Thompson, Craig M.;  Kane, Jonathan R.;  Kane, Van R.;  Churchill, Derek;  Moskal, L. Monika;  Lutz, James A.
收藏  |  浏览/下载：10/0  |  提交时间：2019/11/27
Fisher  Pekania pennanti  Forest structure  Fire severity  Lidar