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Title: Representativeness-Based Sampling Network Design for the State of Alaska

Abstract

Resource and logistical constraints limit the frequency and extent of environmental observations, particularly in the Arctic, necessitating the development of a systematic sampling strategy to maximize coverage and objectively represent environmental variability at desired scales. A quantitative methodology for stratifying sampling domains, informing site selection, and determining the representativeness of measurement sites and networks is described here.

Authors:
 [1];  [1];  [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). National Center for Computational Sciences (NCCS)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1095137
DOE Contract Number:  
DE-AC05-00OR22725
Resource Type:
Journal Article
Journal Name:
Landscape Ecology
Additional Journal Information:
Journal Volume: 28; Journal Issue: 8; Journal ID: ISSN 0921-2973
Country of Publication:
United States
Language:
English

Citation Formats

Hoffman, Forrest M, Kumar, Jitendra, Mills, Richard T, and HargroveJr., William Walter. Representativeness-Based Sampling Network Design for the State of Alaska. United States: N. p., 2013. Web. doi:10.1007/s10980-013-9902-0.
Hoffman, Forrest M, Kumar, Jitendra, Mills, Richard T, & HargroveJr., William Walter. Representativeness-Based Sampling Network Design for the State of Alaska. United States. https://doi.org/10.1007/s10980-013-9902-0
Hoffman, Forrest M, Kumar, Jitendra, Mills, Richard T, and HargroveJr., William Walter. Tue . "Representativeness-Based Sampling Network Design for the State of Alaska". United States. https://doi.org/10.1007/s10980-013-9902-0.
@article{osti_1095137,
title = {Representativeness-Based Sampling Network Design for the State of Alaska},
author = {Hoffman, Forrest M and Kumar, Jitendra and Mills, Richard T and HargroveJr., William Walter},
abstractNote = {Resource and logistical constraints limit the frequency and extent of environmental observations, particularly in the Arctic, necessitating the development of a systematic sampling strategy to maximize coverage and objectively represent environmental variability at desired scales. A quantitative methodology for stratifying sampling domains, informing site selection, and determining the representativeness of measurement sites and networks is described here.},
doi = {10.1007/s10980-013-9902-0},
url = {https://www.osti.gov/biblio/1095137}, journal = {Landscape Ecology},
issn = {0921-2973},
number = 8,
volume = 28,
place = {United States},
year = {2013},
month = {1}
}

Works referenced in this record:

A World Ecoregions Map for Resource Reporting
journal, January 1986


The projection of species distribution models and the problem of non-analog climate
journal, April 2009


New analysis reveals representativeness of the AmeriFlux network
journal, January 2003


Using multivariate clustering to characterize ecoregion borders
journal, January 1999


Potential of Multivariate Quantitative Methods for Delineation and Visualization of Ecoregions
journal, April 2004


The Do-It-Yourself Supercomputer
journal, August 2001


Mapcurves: a quantitative method for comparing categorical maps
journal, May 2006


Evidence and Implications of Recent Climate Change in Northern Alaska and Other Arctic Regions
journal, October 2005


Using Clustered Climate Regimes to Analyze and Compare Predictions from Fully Coupled General Circulation Models
journal, July 2005


The Soil Survey as Paradigm-based Science
journal, January 1992


Population studies: Animal ecology and demography
journal, March 1991


Effectiveness of Biophysical Criteria in the Hierarchical Classification of Drmnage Basins
journal, October 2001


A continental strategy for the National Ecological Observatory Network
journal, June 2008


Quantitative Delineation and Characterization of Hierarchical Biophysical Regions of Maine
journal, January 1999


Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets
journal, January 2011


Multivariate geographic clustering in a metacomputing environment using Globus
conference, January 1999

  • Mahinthakumar, G.; Hoffman, Forrest M.; Hargrove, William W.
  • Proceedings of the 1999 ACM/IEEE conference on Supercomputing (CDROM) - Supercomputing '99
  • https://doi.org/10.1145/331532.331537

Sensitivity of the carbon cycle in the Arctic to climate change
journal, November 2009


Developing a Spatial Framework of Common Ecological Regions for the Conterminous United States
journal, April 2001


Ecoregions of the Conterminous United States
journal, March 1987


Vulnerability of Permafrost Carbon to Climate Change: Implications for the Global Carbon Cycle
journal, September 2008


Increasing shrub abundance in the Arctic
journal, May 2001


Changing snow and shrub conditions affect albedo with global implications
journal, January 2005


The evidence for shrub expansion in Northern Alaska and the Pan-Arctic
journal, April 2006


Global Climate Model Performance over Alaska and Greenland
journal, December 2008