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Representativeness-based sampling network design for the State of Alaska

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Representativeness-based sampling network design for the State of Alaska (English)

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Forrest M. Hoffman

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Jitendra Kumar

object named as

Jitendra Kumar

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2

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William Hargrove

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4

object named as

William W. Hargrove

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author name string

Richard T. Mills

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3

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publication date

20 June 2013

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published in

Landscape Ecology

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volume

28

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issue

8

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page(s)

1567-1586

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copyright license

Creative Commons Attribution 2.0 Generic

start time

20 June 2013

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April 2022 Public Data File from Crossref

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copyrighted

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https://scigraph.springernature.com/pub.10.1007/s10980-013-9902-0

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Resilience of Alaska’s boreal forest to climatic changeThis article is one of a selection of papers from The Dynamics of Change in Alaska’s Boreal Forests: Resilience and Vulnerability in Response to Climate Warming

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21 January 2018

New analysis reveals representativeness of the AmeriFlux network

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21 January 2018

Using multivariate clustering to characterize ecoregion borders

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Potential of multivariate quantitative methods for delineation and visualization of ecoregions.

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The do it yourself supercomputer

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21 January 2018

Mapcurves: a quantitative method for comparing categorical maps

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21 January 2018

Evidence and Implications of Recent Climate Change in Northern Alaska and Other Arctic Regions

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21 January 2018

Using Clustered Climate Regimes to Analyze and Compare Predictions from Fully Coupled General Circulation Models

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21 January 2018

Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets

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Multivariate geographic clustering in a metacomputing environment using Globus

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21 January 2018

Sensitivity of the carbon cycle in the Arctic to climate change

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21 January 2018

Developing a spatial framework of common ecological regions for the conterminous United States.

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Ecoregions of the Conterminous United States

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21 January 2018

Mapping environments at risk under different global climate change scenarios

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21 January 2018

Vulnerability of Permafrost Carbon to Climate Change: Implications for the Global Carbon Cycle

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21 January 2018

Climate change. Increasing shrub abundance in the Arctic

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Global Climate Model Performance over Alaska and Greenland

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The projection of species distribution models and the problem of non-analog climate

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21 January 2018

Identifiers

DOI

10.1007/S10980-013-9902-0

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(Q58390282)

Representativeness-based sampling network design for the State of Alaska

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