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Keyword: scaling

When tree rings go global: Challenges and opportunities for retro- and prospective insight

Publications Posted on: December 04, 2018
The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions.

Multi-scale Mexican spotted owl (Strix occidentalis lucida) nest/roost habitat selection in Arizona and a comparison with single-scale modeling results

Publications Posted on: June 24, 2016
Efficacy of future habitat selection studies will benefit by taking a multi-scale approach. In addition to potentially providing increased explanatory power and predictive capacity, multi-scale habitat models enhance our understanding of the scales at which species respond to their environment, which is critical knowledge required to implement effective conservation and management strategies.

The role of remote sensing in process‐scaling studies of managed forest ecosystems

Publications Posted on: January 12, 2016
Sustaining forest resources requires a better understanding of forest ecosystem processes, and how management decisions and climate change may affect these processes in the future. While plot and inventory data provide our most detailed information on forest carbon, energy, and water cycling, applying this understanding to broader spatial and temporal domains requires scaling approaches.

Estimating individual tree mid- and understory rank-size distributions from airborne laser scanning in semi-arid forests

Publications Posted on: October 02, 2014
Limitations inherent to airborne laser scanning (ALS) technology and the complex sorting and packing relationships of forests complicate accurate remote sensing of mid- and understory trees, especially in denser forest stands. Self-similarities in rank-sized individual tree distributions (ITD), e.g.

Interannual consistency in fractal snow depth patterns at two Colorado mountain sites

Publications Posted on: May 15, 2009
Fractal dimensions derived from log-log variograms are useful for characterizing spatial structure and scaling behavior in snow depth distributions. This study examines the temporal consistency of snow depth scaling features at two sites using snow depth distributions derived from lidar datasets collected in 2003 and 2005.

An enquiry into the method of paired comparison: reliability, scaling, and Thurstone's Law of Comparative Judgment

Publications Posted on: January 26, 2009
The method of paired comparisons is used to measure individuals' preference orderings of items presented to them as discrete binary choices. This paper reviews the theory and application of the paired comparison method, describes a new computer program available for eliciting the choices, and presents an analysis of methods for scaling paired choice data to estimate an interval scale measure of preference.

Tree age, disturbance history, and carbon stocks and fluxes in subalpine Rocky Mountain forests

Publications Posted on: November 26, 2008
Forest carbon stocks and fluxes vary with forest age, and relationships with forest age are often used to estimate fluxes for regional or national carbon inventories. Two methods are commonly used to estimate forest age: observed tree age or time since a known disturbance.

A comparison of sap flux-based evapotranspiration estimates with catchment-scale water balance

Publications Posted on: October 09, 2007
Many researchers are using sap flux to estimate tree-level transpiration, and to scale to stand- and catchment-level transpiration; yet studies evaluating the comparability of sap flux-based estimates of transpiration (E) with alternative methods for estimating Et at this spatial scale are rare.

Research agenda for integrated landscape modeling

Publications Posted on: October 27, 2006
Reliable predictions of the effects changing climate and disturbance regimes will have on forest ecosystems are crucial for effective forest management. Current fire and climate research in forest ecosystem and community ecology offers data and methods that can inform such predictions. However, research in these fields occurs at different scales, with disparate goals, methods, and context.