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| WEST: Water economy simulation tool to predict impacts of economic and environmental shocks 期刊论文
, 2020, 卷号: 142
作者: Reimer J.; Babbar-Sebens M.; Rivera S.J.
  收藏 | 浏览/下载：21/0 | 提交时间：2020/07/28
Groundwater Economic data Economic growths Economic vitality Economic vulnerability Environmental vulnerability Groundwater use Multidisciplinary design optimization Simulation model Economics economic analysis economic growth energy use environmental conditions food supply optimization prediction vulnerability water industry Oregon United States |
| Enhanced growth rate of atmospheric particles from sulfuric acid 期刊论文
, 2020, 卷号: 20, 期号: 12
作者: Stolzenburg D.; Stolzenburg D.; Simon M.; Ranjithkumar A.; Kürten A.; Lehtipalo K.; Lehtipalo K.; Gordon H.; Ehrhart S.; Finkenzeller H.; Pichelstorfer L.; Nieminen T.; He X.-C.; Brilke S.; Xiao M.; Amorim A.; Baalbaki R.; Baccarini A.; Beck L.; Bräkling S.; Murillo L.C.; Chen D.; Chu B.; Dada L.; Dias A.; Dommen J.; Duplissy J.; El Haddad I.; Fischer L.; Carracedo L.G.; Heinritzi M.; Kim C.; Kim C.; Koenig T.K.; Kong W.; Lamkaddam H.; Lee C.P.; Leiminger M.; Leiminger M.; Li Z.; Makhmutov V.; Manninen H.E.; Marie G.; Marten R.; Müller T.; Nie W.; Partoll E.; Petäjä T.; Pfeifer J.; Philippov M.; Rissanen M.P.; Rissanen M.P.; Rörup B.; Schobesberger S.; Schuchmann S.; Shen J.; Sipilä M.; Steiner G.; Stozhkov Y.; Tauber C.; Tham Y.J.; Tomé A.; Vazquez-Pufleau M.; Wagner A.C.; Wagner A.C.; Wang M.; Wang Y.; Weber S.K.; Wimmer D.; Wimmer D.; Wlasits P.J.; Wu Y.; Ye Q.; Zauner-Wieczorek M.; Baltensperger U.; Carslaw K.S.; Curtius J.; Donahue N.M.; Flagan R.C.; Hansel A.; Hansel A.; Kulmala M.; Lelieveld J.; Volkamer R.; Kirkby J.; Kirkby J.; Winkler P.M.
收藏 | 浏览/下载：45/0 | 提交时间：2020/07/28
aerosol atmospheric chemistry concentration (composition) evaporation growth rate prediction sulfuric acid |
| Predicting and mapping site index in operational forest inventories using bitemporal airborne laser scanner data 期刊论文
, 2020, 卷号: 457
作者: Noordermeer L.; Gobakken T.; Næsset E.; Bollandsås O.M.
收藏 | 浏览/下载：37/0 | 提交时间：2020/07/28
Antennas Forecasting Image resolution Laser applications Mapping Mean square error Productivity Regression analysis Scanning Airborne laser scanners Forest management planning Forest productivity Mapping site index Operational forest inventories Operational practices Root mean squared errors Undisturbed forests Forestry airborne sensor classification forest inventory forest management growth response prediction scanner site index spatial resolution woody plant Forecasts Forestry Mapping Productivity Regression Analysis Scanning Norway Picea abies Pinus sylvestris |
| Modelling the cone yields of Korean pine 期刊论文
, 2020, 卷号: 464
作者: Jin X.; Li F.; Pukkala T.; Dong L.
收藏 | 浏览/下载：31/0 | 提交时间：2020/07/28
Forestry Optimization Seed Count models Negative binomial models Pinus koraiensis Probabilistic prediction Simulation Simulation and optimization Stochastic optimizations Zero-inflated models Stochastic models annual variation coniferous tree ecological modeling growth optimization seed production simulation Forestry Models Optimization Pinus Koraiensis Simulation Trees China Pinus koraiensis |
| Nonlinear mixed-effects height to crown base model based on both airborne LiDAR and field datasets for Picea crassifolia Kom trees in northwest China 期刊论文
, 2020, 卷号: 474
作者: Yang Z.; Liu Q.; Luo P.; Ye Q.; Sharma R.P.; Duan G.; Zhang H.; Fu L.
收藏 | 浏览/下载：37/0 | 提交时间：2020/07/28
Calibration Forecasting Optical radar Random processes Remote sensing Best linear unbiased predictions Diameter-at-breast heights Field-based measurements Forest growth and yield Initiation and propagation Light detection and ranging Nonlinear mixed effects Prediction accuracy Forestry accuracy assessment airborne survey canopy architecture data set deciduous forest field method forestry modeling height determination lidar nonlinearity yield response Accuracy Calibration Forecasts Forestry Random Processes Remote Sensing Tree Dimensions Trees China Gansu Picea crassifolia |
| Temperature thresholds for Eucalyptus genotypes growth across tropical and subtropical ranges in South America 期刊论文
, 2020, 卷号: 472
作者: Queiroz T.B.; Campoe O.C.; Montes C.R.; Alvares C.A.; Cuartas M.Z.; Guerrini I.A.
收藏 | 浏览/下载：29/0 | 提交时间：2020/07/28
Climate models Productivity Tropics Accurate prediction Annual temperatures Climatic conditions Forest productivity Minimum temperatures Phenotypic analysis Temperature thresholds Thermal requirements Forestry air temperature ecophysiology evergreen tree forestry production genotype-environment interaction growth response plantation forestry subtropical region temperature effect Eucalyptus Forestry Genotypes Growth Processes Productivity Temperature Tropics South America Eucalyptus |
| Site index estimation for clonal eucalypt plantations in Brazil: A modeling approach refined by environmental variables 期刊论文
, 2020, 卷号: 466
作者: Scolforo H.F.; McTague J.P.; Burkhart H.; Roise J.; Alvares C.A.; Stape J.L.
收藏 | 浏览/下载：30/0 | 提交时间：2020/07/28
Forecasting Plants (botany) Soil moisture Accurate estimation Biological behavior Environment effects Environmental variables Eucalypt plantations Long-term prediction Site-index estimations Soil water deficit Forestry dicotyledon ecological modeling environmental gradient forest inventory plantation site index soil water Brazil Equations Forecasts Forestry Growth Height Set Variables Brazil Eucalyptus |
| Development of a Tree Growth Difference Equation and Its Application in Forecasting the Biomass Carbon Stocks of Chinese Forests in 2050 期刊论文
FORESTS, 2019, 卷号: 10, 期号: 7
作者: Zhang, Hanyue; Feng, Zhongke; Chen, Panpan; Chen, Xiaofeng
收藏 | 浏览/下载：30/0 | 提交时间：2019/10/08
growth difference equation growth prediction biomass carbon stocks (BCS) Chinese forest |
