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Application of Emerging Tools and Techniques for Measuring Carbon and Microbial Communities in Reclaimed Mine Soils.
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- Environmental Management, 2004, v. 33, p. S518, doi. 10.1007/s00267-003-9159-5
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- Article
BELOW-GROUND PROCESSES IN GAP MODELS FOR SIMULATING FOREST RESPONSE TO GLOBAL CHANGE.
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- Climatic Change, 2001, v. 51, n. 3/4, p. 449, doi. 10.1023/A:1012570821241
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COMPARING THE PERFORMANCE OF FOREST GAP MODELS IN NORTH AMERICA.
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- Climatic Change, 2001, v. 51, n. 3/4, p. 349, doi. 10.1023/A:1012537914881
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- Article
The potential response of terrestrial carbon storage to changes in climate and atmospheric CO2.
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- Climatic Change, 1997, v. 35, n. 2, p. 199, doi. 10.1023/A:1005317530770
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- Article
Cover Image, Volume 5, Issue 1.
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- WIREs: Energy & Environment, 2016, v. 5, n. 1, p. i, doi. 10.1002/wene.198
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Interdisciplinary research in climate and energy sciences.
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- WIREs: Energy & Environment, 2016, v. 5, n. 1, p. 49, doi. 10.1002/wene.180
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- Article
Stoichiometry and temperature sensitivity of methanogenesis and CO<sub>2</sub> production from saturated polygonal tundra in Barrow, Alaska.
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- Global Change Biology, 2015, v. 21, n. 2, p. 722, doi. 10.1111/gcb.12762
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- Article
A method for experimental heating of intact soil profiles for application to climate change experiments.
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- Global Change Biology, 2011, v. 17, n. 2, p. 1083, doi. 10.1111/j.1365-2486.2010.02221.x
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- Article
Environmental controls on water use efficiency during severe drought in an Ozark Forest in Missouri, USA.
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- Global Change Biology, 2010, v. 16, n. 8, p. 2252, doi. 10.1111/j.1365-2486.2009.02138.x
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- Article
Gene expression profiling: opening the black box of plant ecosystem responses to global change.
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- Global Change Biology, 2009, v. 15, n. 5, p. 1201, doi. 10.1111/j.1365-2486.2008.01818.x
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- Article
Sensitivity of canopy transpiration to altered precipitation in an upland oak forest: evidence from a long-term field manipulation study.
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- Global Change Biology, 2006, v. 12, n. 1, p. 97, doi. 10.1111/j.1365-2486.2005.001082.x
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- Article
Importance of changing CO<sub>2</sub>, temperature, precipitation, and ozone on carbon and water cycles of an upland-oak forest: incorporating experimental results into model simulations.
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- Global Change Biology, 2005, v. 11, n. 9, p. 1402, doi. 10.1111/j.1365-2486.2005.00991.x
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Temperature-controlled open-top chambers for global change research
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- Global Change Biology, 1997, v. 3, n. 3, p. 259
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- Article
Quantification of human contribution to soil moisture-based terrestrial aridity.
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- Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-34071-5
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Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire.
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- Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-28853-0
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Connecting genes, coexpression modules, and molecular signatures to environmental stress phenotypes in plants.
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- BMC Systems Biology, 2008, v. 2, p. 1, doi. 10.1186/1752-0509-2-16
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On the relationship between stomatal characters and atmospheric CO<sub>2</sub>.
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- Geophysical Research Letters, 2003, v. 30, n. 19, p. n/a, doi. 10.1029/2003GL017775
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Increased growth efficiency of Quercus alba trees in a CO<sub>2</sub>-enriched atmosphere.
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- New Phytologist, 1995, v. 131, n. 1, p. 91, doi. 10.1111/j.1469-8137.1995.tb03058.x
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Alder Distribution and Expansion Across a Tundra Hillslope: Implications for Local N Cycling.
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- Frontiers in Plant Science, 2019, p. 1, doi. 10.3389/fpls.2019.01099
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- Article
Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire.
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- Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-28853-0
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- Article
Global simulation of bioenergy crop productivity: analytical framework and case study for switchgrass.
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- GCB Bioenergy, 2014, v. 6, n. 1, p. 14, doi. 10.1111/gcbb.12047
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Bioenergy crop models: descriptions, data requirements, and future challenges.
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- GCB Bioenergy, 2012, v. 4, n. 6, p. 620, doi. 10.1111/j.1757-1707.2012.01166.x
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Empirical geographic modeling of switchgrass yields in the United States.
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- GCB Bioenergy, 2010, v. 2, n. 5, p. 248, doi. 10.1111/j.1757-1707.2010.01059.x
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- Article
Environmental controls on observed spatial variability of soil pore water geochemistry in small headwater catchments underlain with permafrost.
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- Cryosphere, 2023, v. 17, n. 9, p. 3987, doi. 10.5194/tc-17-3987-2023
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Spatial patterns of snow distribution in the sub-Arctic.
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- Cryosphere, 2022, v. 16, n. 8, p. 3269, doi. 10.5194/tc-16-3269-2022
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High nitrate variability on an Alaskan permafrost hillslope dominated by alder shrubs.
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- Cryosphere, 2022, v. 16, n. 5, p. 1889, doi. 10.5194/tc-16-1889-2022
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Microbes in thawing permafrost: the unknown variable in the climate change equation.
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- ISME Journal: Multidisciplinary Journal of Microbial Ecology, 2012, v. 6, n. 4, p. 709, doi. 10.1038/ismej.2011.163
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Understanding the Relative Importance of Vertical and Horizontal Flow in Ice-Wedge Polygons.
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- Hydrology & Earth System Sciences Discussions, 2019, p. 1, doi. 10.5194/hess-2019-25
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- Article
Large CO<sub>2</sub> and CH<sub>4</sub> emissions from polygonal tundra during spring thaw in northern Alaska.
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- Geophysical Research Letters, 2017, v. 44, n. 1, p. 504, doi. 10.1002/2016GL071220
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Genomics in a changing arctic: critical questions await the molecular ecologist.
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- Molecular Ecology, 2015, v. 24, n. 10, p. 2301, doi. 10.1111/mec.13166
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Extending the Arabidopsis flowering paradigm to a mass flowering phenomenon in the tropics.
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- Molecular Ecology, 2013, v. 22, n. 18, p. 4603, doi. 10.1111/mec.12473
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Phytosequestration: Carbon Biosequestration by Plants and the Prospects of Genetic Engineering.
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- BioScience, 2010, v. 60, n. 9, p. 685, doi. 10.1525/bio.2010.60.9.6
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- Article
Mechanistic Modeling of Microtopographic Impacts on CO<sub>2</sub> and CH<sub>4</sub> Fluxes in an Alaskan Tundra Ecosystem Using the CLM‐Microbe Model.
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- Journal of Advances in Modeling Earth Systems, 2019, v. 11, n. 12, p. 4288, doi. 10.1029/2019MS001771
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Indexing Permafrost Soil Organic Matter Degradation Using High-Resolution Mass Spectrometry.
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- PLoS ONE, 2015, v. 10, n. 6, p. 1, doi. 10.1371/journal.pone.0130557
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Toward a Mechanistic Modeling of Nitrogen Limitation on Vegetation Dynamics.
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- PLoS ONE, 2012, v. 7, n. 5, p. 1, doi. 10.1371/journal.pone.0037914
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Differential Detection of Genetic Loci Underlying Stem and Root Lignin Content in Populus.
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- PLoS ONE, 2010, v. 5, n. 11, p. 1, doi. 10.1371/journal.pone.0014021
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- Article
High Temporal and Spatial Nitrate Variability on an Alaskan Hillslope Dominated by Alder Shrubs.
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- Cryosphere Discussions, 2021, p. 1, doi. 10.5194/tc-2021-166
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- Article
Historical variations in terrestrial biospheric carbon storage.
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- Global Biogeochemical Cycles, 1997, v. 11, n. 1, p. 99, doi. 10.1029/96GB03942
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Extrapolating active layer thickness measurements across Arctic polygonal terrain using LiDAR and NDVI data sets.
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- Water Resources Research, 2014, v. 50, n. 8, p. 6339, doi. 10.1002/2013WR014283
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Novel Multivariate Analysis for Soil Carbon Measurements Using Laser-lnduced Breakdown Spectroscopy.
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- Soil Science Society of America Journal, 2010, v. 74, n. 1, p. 87, doi. 10.2136/sssaj2009.0102
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Needle age and season influence photosynthetic temperature response and total annual carbon uptake in mature Picea mariana trees.
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- Annals of Botany, 2015, v. 116, n. 5, p. 821, doi. 10.1093/aob/mcv115
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Plant functional types in Earth system models: past experiences and future directions for application of dynamic vegetation models in high-latitude ecosystems.
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- Annals of Botany, 2014, v. 114, n. 1, p. 1, doi. 10.1093/aob/mcu077
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- Article
An Improved Approach for Mapping Quantitative Trait Loci in a Pseudo-Testcross: Revisiting a Poplar Mapping Study.
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- Bioinformatics & Biology Insights, 2010, n. 4, p. 1, doi. 10.4137/BBI.S4153
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- Article
Modeling anaerobic soil organic carbon decomposition in Arctic polygon tundra: insights into soil geochemical influences on carbon mineralization.
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- Biogeosciences, 2019, v. 16, n. 3, p. 663, doi. 10.5194/bg-16-663-2019
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- Article
Impacts of temperature and soil characteristics on methane production and oxidation in Arctic tundra.
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- Biogeosciences, 2018, v. 15, n. 21, p. 6621, doi. 10.5194/bg-15-6621-2018
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Reviews and syntheses: Four decades of modeling methane cycling in terrestrial ecosystems.
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- Biogeosciences, 2016, v. 13, n. 12, p. 3735, doi. 10.5194/bg-13-3735-2016
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- Article
Understanding the relative importance of vertical and horizontal flow in ice-wedge polygons.
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- Hydrology & Earth System Sciences, 2020, v. 24, n. 3, p. 1109, doi. 10.5194/hess-24-1109-2020
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- Article
Warming induces divergent stomatal dynamics in co‐occurring boreal trees.
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- Global Change Biology, 2021, v. 27, n. 13, p. 3079, doi. 10.1111/gcb.15620
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Divergent species‐specific impacts of whole ecosystem warming and elevated CO<sub>2</sub> on vegetation water relations in an ombrotrophic peatland.
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- Global Change Biology, 2021, v. 27, n. 9, p. 1820, doi. 10.1111/gcb.15543
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Biases of CO<sub>2</sub> storage in eddy flux measurements in a forest pertinent to vertical configurations of a profile system and CO<sub>2</sub> density averaging.
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- Journal of Geophysical Research. Atmospheres, 2007, v. 112, n. D20, p. n/a, doi. 10.1029/2006JD008243
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