A5065168037- Forest ecology and management
- Remote Sensing and LiDAR Applications
- Forest Management and Policy
- Forest Ecology and Biodiversity Studies
- Advanced Statistical Methods and Models
- Soil Geostatistics and Mapping
- Ecology and Vegetation Dynamics Studies
- Remote Sensing in Agriculture
- Statistical Methods and Bayesian Inference
- Plant Water Relations and Carbon Dynamics
- Fire effects on ecosystems
- Forest Biomass Utilization and Management
- Conservation, Biodiversity, and Resource Management
- Survey Sampling and Estimation Techniques
- Bayesian Methods and Mixture Models
- Tree Root and Stability Studies
- Economic and Environmental Valuation
- Optimal Experimental Design Methods
- Air Quality and Health Impacts
- Statistical Methods and Inference
- Atmospheric and Environmental Gas Dynamics
- Census and Population Estimation
- Hydrology and Watershed Management Studies
- Computational Geometry and Mesh Generation
- Forest Insect Ecology and Management
Yale University
2014-2023
University of Arkansas at Monticello
2016
Pennsylvania State University
2014
Swedish University of Agricultural Sciences
2011
Goddard Space Flight Center
2009-2011
Norwegian University of Life Sciences
2009-2011
US Forest Service
1990-2009
University of Montana
2009
Ministère des Ressources naturelles et des Forêts
2009
Université Laval
2009
A linear mixed-effects model that accounts for the covariances among repeated measurements and random plot effects is developed. continuous-time autocorrelation error structure permits to be applied irregularly spaced, unbalanced data. strategy fitting this diagnostic tools assessing its goodness of fit are presented demonstrated. The fitted two permanent-plot data bases shows marked improvement compared with models do not account structure.
Abstract This paper describes the evolution of concept Recreation Opportunity Spectrum (ROS)—a largely resource‐based approach to providing recreational diversity. It explains needs USDA Forest Service and USDI Bureau Land Management for a recreation resource planning system relates those development ROS guide large areas. The basic concepts tenets are explained needed research is outlined. Keywords: opportunity spectrumrecreation planningrecreation systemsrecreation inventory classification
In forest inventories, regression models are often applied to predict quantities such as biomass at the level of sampling units. this paper, we propose a model-based inference framework for combining and model errors in variance estimation. It was airborne laser (LiDAR) data sets from Hedmark County, Norway, where error proportion total found be large both scanning (airborne scanning) profiling LiDAR when estimated. With LiDAR, component entire county 71% whereas scanning, it 43% variance....
Individual tree heights are needed in many situations, including estimation of volume, dominant height, and simulation growth. However, height measurements tedious compared to diameter measurements, therefore height–diameter (H–D) models commonly used for prediction height. Previous studies have fitted H–D using approaches that include plot-specific predictors the those do not them. In both these approaches, aggregation observations sample plots has usually been taken into account through...
Inasmuch as LiDAR is becoming an increasingly prominent tool for forest inventory, it timely to develop a framework understand the statistical properties of LiDAR-based estimates. A model-assisted approach estimation and inference when using inventory aboveground biomass presented. An empirical example also presented, yet article’s focus largely methodological. The sampling plan in viewed two-stage design, with slightly different primary units between profiling scanning laser surveys....
This paper focuses on the use of models for increasing precision estimators in large-area forest surveys. It is motivated by availability remotely sensed data, which facilitates development predicting variables interest We present, review and compare three different estimation frameworks where play a core role: model-assisted, model-based, hybrid estimation. The first two are well known, whereas third has only recently been introduced Hybrid inference mixes design-based model-based...
Selective logging causes at least half of the emissions from tropical forest degradation. Reduced-impact for climate (RIL-C) is proposed as a way to maintain timber production while minimizing damage. Here we synthesize data 61 coordinated field-based surveys impacts in seven countries across tropics. We estimate that selective emitted 834 Tg CO2 2015, 6% total greenhouse gas emissions. Felling, hauling, and skidding caused 59%, 31%, 10% these emissions, respectively. suggest RIL-C incentive...
The total foliar area or mass of a tree is difficult to measure, as its bark cambial area, and various other components aboveground biomass. A variety sampling methods proposed estimators these characteristics are presented. Based on probability precepts, all unbiased. An unbiased estimator variance for each also basis in rather than fitted regression equation provides some important safeguards, useful alternative when functions unavailable particular species physiographic condition.
Recent developments in remote sensing (RS) technology have made several sources of auxiliary data available to support forest inventories. Thus, a pertinent question is how different RS should be combined with field make inventories cost-efficient. Hierarchical model-based estimation has been proposed as promising way combining: (i) wall-to-wall optical that are only weakly correlated structure; (ii) discontinuous sample active more strongly and (iii) sparse data. Model predictions based on...
Abstract ∙ Key message The study presents novel model-based estimators for growing stock volume and its uncertainty estimation, combining a sparse sample of field plots, laser data, wall-to-wall Landsat data. On the basis our detailed simulation, we show that when estimating mean on an intermediate ALS model is not accounted for, estimated variance estimator can be biased by as much factor three or more, depending size at various stages design. Context This concerns inference in large-area...
Numerous theories have been developed and tested to explain the high botanical diversity in tropical forests, ranging from nonequilibrium emphasizing importance of chance equilibrium depicting highly specialized species occupying narrow ecological niches. Niche-based most often evaluated adaptation different light environments, but some studies edaphic attributes controlling distributions. We role factors distribution African mahogany genus Entandrophragma on a 100-ha plot Dzanga-Sangha...