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Widespread extinction is a predicted ecological consequence of global warming. Extinction risk under climate change scenarios is a function of distribution breadth. Focusing on trees and birds of the eastern United States, we used joint climate and environment models to examine fit and climate…
Author(s): Mark W. Schwartz, Louis R. Iverson, Anantha M. Prasad, Stephen N. Matthews, Raymond J. O'Connor, Raymond J. O'Connor
Keywords: climate and environmental models, climate change, distribution breadth, eastern United States, endemic, extinction, prediction uncertainty, regression tree, vulnerability
Source: Ecology. 87(7): 1611-1615.
Year: 2006
The quantification of carbon fluxes between the terrestrial biosphere and the atmosphere is of scientific importance and also relevant to climate-policy making. Eddy covariance flux towers provide continuous measurements of ecosystem-level exchange of carbon dioxide spanning diurnal, synoptic,…
Author(s): Jingfeng Xiao, Qianlai Zhuang, Beverly E. Law, Jiquan Chen, Dennis D. Baldocchi, David R. Cook, Ram Oren, Andrew D. Richardson, Sonia Wharton, Siyan Ma, Tomothy A. Martin, Shashi B. Verma, Andrew E. Suyker, Russel L. Scott, Russel K. Monson, Marcy Litvak, David Y. Hollinger, Ge Sun, Kenneth J. Davis, Paul V. Bolstad, Sean P. Burns, Peter S. Curtis, BErt G. Drake, Matthias Falk, MArc L. Fischer, David R. Foster, Lianhong Gu, Julian L. Hadley, Gabriel G. Katul, Roser Matamala, Steve McNulty, Tilden P. Meyers, J. William Munger, Asko Noormets, Walter C. Oechel, Kyaw Tha U Paw, Hans Peter Schmid, Gregory Starr, Margaret S. Torn, Steven C. Wofsy
Keywords: gross primary productivity, modis, ameriflux, eddy covariance, regression tree, us, carbon fluxes, interannual variability, satellite data, biomes
Source: Remote Sensing of Environment, Vol. 114:576-591.
Year: 2010
Large wood (LW; pieces with diameter greater than 10 cm and length greater than 1 m) and large-wood jams (LWJs; two or more pieces of LW in contact with each other) are important components of stream ecosystems that are often distributed along stream channels in response to geomorphic and riparian…
Author(s): Arthur E.L. Morris, P. Charles Goebel, Brian J. Palik
Keywords: Lake States, hierarchy theory, large wood, redundancy analysis, regression tree
Source: Earth Surface Processes and Landforms. 32: 1131-1153.
Year: 2007
We use a regression tree ensemble method to assess current species-environment relationships as well as model potential suitable habitat under a variety of global climate change scenarios.
Author(s): Louis Iverson, Anantha Prasad, Mark Schwartz, Steven Matthews
Keywords: regression tree, random forest, climate change, eastern United States, tree species distribution, migration
Source: In: Proceedings of the international workshop on forest landscape modeling: 2006 June 20-24; Beijing, China. [Publisher name unknown]: [Place of publication unknown]. Abstract.
Year: 2006
Eddy covariance flux towers provide continuous measurements of net ecosystem carbon exchange (NEE) for a wide range of climate and biome types. However, these measurements only represent the carbon fluxes at the scale of the tower footprint. To quantify the net exchange of carbon dioxide between…
Author(s): Jingfeng Xiao, Qianlai Zhuang, Dennis D. Baldocchi, Beverly E. Law, Andrew D. Richardson, Jiquan Chen, Ram Oren, Gegory Starr, Asko Noormets, Siyan Ma, Sashi B. Verma, Sonia Wharton, Steven C. Wofsy, Paul V. Bolstad, Sean P. Burns, David R. Cook, Peter S. Curtis, Bert G. Drake, Matthias Falk, MArc L. Fischer, David R. Foster, Lianhong Gu, Julian L. Hadley, David Y. Hollinger, Gabriel G. Katul, Marcy Litvak, Timothy Martin, Roser Matamala, Steve McNulty, Tilden P. Meyers, Russell K. Monson, J. William Munger, Walter C. Oechel, Kyaw Tha Paw U, Hans Peter Schmid, Russell L. Scott, Ge Sun, Andrew E. Suyker, Margaret S. Torn
Keywords: Net ecosystem carbon exchange, MODIS, AmeriFlux, NEE, regression tree, eddy covariance
Source: Agricultural and Forest Meteorology, Vol. 148: 1827-1847
Year: 2008
Improved fire management of savannas and open woodlands requires better understanding of the fundamental connection between fuel heterogeneity, variation in fire behaviour and the influence of fire variation on vegetation feedbacks. In this study, we introduce a novel approach to predicting fire…
Author(s): EL Loudermilk, Joseph O'Brien, RJ Mitchell, JK Hiers, WP Cropper, S Grunwald, J Grego, J Fernandez
Keywords: fuel heterogeneity, IR imagery, LIDAR, longleaf pine, regression tree, savanna
Source: International Journal of Wildland Fire
Year: 2012
Broad-scale maps of forest characteristics are needed throughout the United States for a wide variety of forest land management applications. Inexpensive maps can be produced by modelling forest class and structure variables collected in nationwide forest inventories as functions of satellite-based…
Author(s): Gretchen G. Moisen, Tracey S. Frescino
Keywords: predictive mapping, forest inventory, classification tree, regression tree, mulivariate adaptive regression spline, MARS, artificial neural network
Source: Ecological Modelling. 157: 209-225.
Year: 2002
In ecosystems with frequent surface fires, fire and fuel heterogeneity at relevant scales have been largely ignored. This could be because complete burns give an impression of homogeneity, or due to the difficulty in capturing fine-scale variation in fuel characteristics and fire behaviour. Fire…
Author(s): E. Louise Loudermilk, Gary L. Achtemeier, Joseph J. O'Brien, J. Kevin Hiers, Benjamin S. Hornsby
Keywords: fire heterogeneity, fuel type, image recognition, IR imagery, longleaf pine, regression tree
Source: International Journal of Wildland Fire 23(7): 1016-1026
Year: 2014
Ecological restoration is frequently guided by reference conditions describing a successfully restored ecosystem; however, the causes and magnitude of ecosystem degradation vary, making simple knowledge of reference conditions insufficient for prioritizing and guiding restoration. Ecological…
Author(s): Lars A. Brudvig, John L. Orrock, Ellen I. Damschen, Cathy D. Collins, Philip G. Hahn, W. Brett Mattingly, Joseph W. Veldman, Joan L. Walker
Keywords: Longleaf pine, Pinus palustris, restoration, model, regression tree, understory, fire
Source: PLoS ONE. 9(1): e86604
Year: 2014
Biomass burning in the Alaskan interior is already a major disturbance and source of carbon emissions, and is likely to increase in response to the warming and drying predicted for the future climate. In addition to quantifying changes to the spatial and temporal patterns of burned areas, observing…
Author(s): K. Barrett, E.S. Kasischke, A.D. McGuire, M.R. Turetsky, E.S. Kane
Keywords: Alaska, boreal forest, fire severity, regression tree, boosting
Source: Remote Sensing of Environment. 114(7): 1494-1503
Year: 2010
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