Dual-probe heat-capacity (DPHC) sensors can be used to measure soil heat capacity (C), water content, and temperature. Research was conducted to test design factors that affect sensor calibration, including: (i) calibration media, (ii) diameter and length of the needle probes, (iii) sensor body material, and (vi) duration …
Journal: Soil Science Society Of America Journal, Volume 68 (4): 1185-1190 (2004), ISBN . DOI: 10.2136/sssaj2004.1185 Sites: CA-Mer
Sources and sinks of carbon associated with forests depend strongly on the management regime and spatial patterns in potential productivity. Satellite remote sensing can provide spatially explicit information on land cover, stand-age class, and harvesting. Carbon-cycle process models coupled to regional climate databases can provide …
Journal: Environmental Management, Volume 33 (4): 457-466 (2004), ISBN . DOI: 10.1007/s00267-003-9103-8 Sites: US-Me2
The possibility of global, three-dimensional remote sensing of forest structure with interferometric synthetic aperture radar (InSAR) bears on important forest ecological processes, particularly the carbon cycle. InSAR supplements two-dimensional remote sensing with information in the vertical dimension. Its strengths in potential …
Journal: Bioscience, Volume 54 (6): 561-571 (2004), ISBN . DOI: 10.1641/0006-3568(2004)054[0561:fafris]2.0.co;2 Sites: US-Me2, US-Me4, US-Me5
Fluxes of water, energy and carbon dioxide (CO2) were measured using the eddy covariance technique over a mesquite (Prosopis velutina) woodland along the San Pedro River in southeastern Arizona for the entire growing seasons of 2001 and 2002, between the last freeze event of spring and the first of fall. Although the general pattern …
Journal: Agricultural And Forest Meteorology, Volume 122 (1-2): 65-84 (2004), ISBN . DOI: 10.1016/j.agrformet.2003.09.001 Sites: US-CMW
Three years of meteorological data collected at the WLEF-TV tower were used to drive a revised version of the Simple Biosphere (SiB 2.5) Model. Physiological properties and vegetation phenology were specified from satellite imagery. Simulated fluxes of heat, moisture, and carbon were compared to eddy covariance measurements taken …
Journal: Global Change Biology, Volume 9 (9): 1262-1277 (2003), ISBN . DOI: 10.1046/j.1365-2486.2003.00671.x Sites: US-Los, US-PFa, US-WCr
Elevated carbon dioxide (CO2) caused greater accumulation of carbon (C) and nutrients in both vegetation and O horizons over a 5-yr sampling period in a scrub oak ecosystem in Florida. Elevated CO2 had no effect on any measured soil property except extractable phosphorus (P), which was lower with elevated CO2 …
Journal: Ecological Applications, Volume 13 (5): 1388-1399 (2003), ISBN . DOI: 10.1890/02-5139 Sites: US-KS2
The objective of this study was to quantify carbon (C) distribution for boreal black spruce (Picea mariana (Mill.) BSP) stands comprising a fire chronosequence in northern Manitoba, Canada. The experimental design included seven well-drained (dry) and seven poorly-drained (wet) stands that burned between 1998 and 1850. Vegetation …
Journal: Global Change Biology, Volume 9 (7): 1066-1079 (2003), ISBN . DOI: 10.1046/j.1365-2486.2003.00645.x Sites: CA-Man, CA-NS2, CA-NS3, CA-NS5, CA-NS6, CA-NS7
Data from a network of eddy covariance stations in Europe and North America (FLUXNET) were analyzed to examine the diurnal patterns of surface energy and carbon fluxes during the summer period across a range of ecosystems and climates. Diurnal trends were quantified by assessing the time of day surface fluxes and meteorological variable …
Journal: Journal Of Geophysical Research: Atmospheres, Volume 108 (D21): n/a-n/a (2003), ISBN . DOI: 10.1029/2001jd001349 Sites: US-Blo
Black spruce (Picea mariana [Mill.] BSP) is the most dominant forest ecosystem in the North American boreal region. There are at least two contrasting boreal black spruce forest communities: open-canopy black spruce overstory with Sphagnum ground cover (BSSP) and closed-canopy black spruce overstory with feathermoss ground cover …
Journal: Ecosystems, Volume 6 (3): 236-247 (2003), ISBN . DOI: 10.1007/pl00021510 Sites: CA-Obs
Leaf area index (LAI) is an important variable for climate modeling, estimates of primary production, agricultural yield forecasting, and many other diverse studies. Remote sensing provides a considerable potential for estimating LAI at local to regional and global scales. Several spectral vegetation indices have been proposed, but …
Journal: Geophysical Research Letters, Volume 30 (5): n/a-n/a (2003), ISBN . DOI: 10.1029/2002GL016450 Sites: US-Ne1