E. Raymond Hunt

TL;DR: In this paper, the ability of the Leaf Water Content Index (LWCI) to determine leaf relative water content (RWC) is tested on species with different leaf morphologies.

Abstract: Document Type Book Chapter Publication Title Scaling Physiological Processes: Leaf to Globe: A volume in Physiological Ecology Publication Date 1993 First Page 141 Last Page 158 Abstract Modeling terrestrial ecosystems on the global scale demands the development of simple, generalized representations of important plant processes that can be used in different biomes with minimal change. However, the sophistication and complexity o f this task requires models o f various domains o f space and time resolution which, in turn, requires emphasis on different ecological and biophysical processes. We have developed a family of coniferous forest process models over the last several years and have used them on a variety o f spatial and temporal scales to address important ecological questions. What began as a single-tree daily water-balance model run for I year is now an integrated carbon, nitrogen, and water cycle model with dual timestep resolution run for 100 years. With FOREST-BGC (biogeochemical cycles) em bedded in our Regional Ecosystem Simulation System (RESSys) with a microclimate simulator (MTCLIM) and satellite definition o f the vegetation, we now map ecosystem processes such as photosynthesis, respiration, evapotranspiration, decomposition, and nitrogen mineralization over landscapes of hundreds of square kilometers (Running et al., 1989). We now use these models to calibrate simple models for global implementation using satellite data. DOI http://dx.doi.org/10.1016/B978-0-12-233440-5.50014-2 Rights © 1993 Academic Press, Inc. Recommended Citation Running, Steve W. and Hunt, Jr., E. Raymond. "Generalization of a Forest Ecosystem Process Model for Other Biomes, BIOME-BCG, and an Application for Global-Scale Models" in Scaling Physiological Processes: Leaf to Globe edited by James R. Ehleringer and Christopher B. Field. San Diego: Academic Press, Inc., 1993. This document is currently not available here.

TL;DR: The low cost and very-high spatial resolution associated with the camera-UAV system may provide important information for site-specific agriculture.

TL;DR: Simulations using the Scattering by Arbitrarily Inclined Leaves (SAIL) canopy model indicate an interaction among TGI, leaf area index (LAI) and soil type at low crop LAI, whereas at high LAI and canopy closure, TGI was only affected by leaf chlorophyll content.

TL;DR: In this article, a model aircraft was used to acquire high-resolution digital images of corn, alfalfa, and soybeans from a consumer-oriented digital camera, where colored tarpaulins were used to calibrate the images and a Normalized Green-Red Difference Index (NGRDI) was used.