Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2018.02.026 |
F-3: Simulating spatiotemporal forest change from field inventory, remote sensing, growth modeling, and management actions | |
Huang, Shengli1; Ramirez, Carlos1; McElhaney, Marcus2; Evans, Kirk1 | |
2018-05-01 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT |
ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2018 |
卷号 | 415页码:26-37 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Contemporary forest management requires highly-detailed, spatially-contiguous, multi-temporal, and scenarios comparable forest conditions. Field inventories and individual-tree models often contain highly-detailed data and allow for long-term complex scenarios comparison, but the information is only at sampled locations and lacks complete spatial coverage. Forest landscape models (FLMs) provide landscape-level spatiotemporal data, but the details that are important to land managers are often lost in the generalized outputs. We developed a modeling framework, F-3, to integrate FIA (Forest Inventory and Analysis) plots, the Forest Vegetation Simulator (FVS), and FastEmap (Field And SatelliTe for Ecosystem MAPping) to simulate spatiotemporal forest change under natural succession and vegetation management. F-3 extrapolates the details of forest inventory plots and individual-tree model outputs to a spatially-contiguous landscape by fusing tree-list field measurements, individual tree growth and yield models, remote sensing and environmental geospatial datasets. F-3 allows for area specific management action simulations. F-3 compares FVS results with field measurements for temporal accuracy assessment and uses a leave-one-out cross-validation for spatial accuracy assessment. F-3 adopts parallel computation techniques to implement the modeling in an automatic and efficient manner. The proof of concept of F-3 was demonstrated in Tahoe National Forest (TNF) showing spatiotemporal changes on six forest structural metrics (quadratic mean diameter, basal area, biomass, habitat suitability index, canopy cover, and coarse woody debris) under natural succession, regeneration-cut, and thinning scenarios for the years 2014-2114 at a 30 m resolution. F-3 can be used for initializing FLMs and for analyzing a wide range of ecosystem services; however, the under-representation of certain forest types in the FIA plot data set, the modeling bias from FVS, and choice of FastEmap covariates contribute to major uncertainties in the framework. |
英文关键词 | Forest inventory analysis Forest vegetation simulator Forest landscape models Ecosystem service Species distribution model |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000429395600004 |
WOS关键词 | NEIGHBOR IMPUTATION APPROACH ; MOUNTAIN PINE-BEETLE ; LANDSCAPE-SCALE ; VEGETATION SIMULATOR ; CLIMATE-CHANGE ; LIDAR ; TREE ; DISTURBANCE ; CALIFORNIA ; ECOSYSTEM |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/24265 |
专题 | 气候变化 |
作者单位 | 1.USDA ARS, Reg 5, Remote Sensing Lab, 3237 Peacekeeper Way,Suite 201, Mcclellan, CA 95652 USA; 2.USDA ARS, Reg 5, Reg Off, 1323 Club Dr, Vallejo, CA 94592 USA |
推荐引用方式 GB/T 7714 | Huang, Shengli,Ramirez, Carlos,McElhaney, Marcus,et al. F-3: Simulating spatiotemporal forest change from field inventory, remote sensing, growth modeling, and management actions[J]. FOREST ECOLOGY AND MANAGEMENT,2018,415:26-37. |
APA | Huang, Shengli,Ramirez, Carlos,McElhaney, Marcus,&Evans, Kirk.(2018).F-3: Simulating spatiotemporal forest change from field inventory, remote sensing, growth modeling, and management actions.FOREST ECOLOGY AND MANAGEMENT,415,26-37. |
MLA | Huang, Shengli,et al."F-3: Simulating spatiotemporal forest change from field inventory, remote sensing, growth modeling, and management actions".FOREST ECOLOGY AND MANAGEMENT 415(2018):26-37. |
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