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Last Name

Authors who are active project participants

  • Alistair Rogers

    2022

    • Lamour, Julien, et al. “New Calculations for Photosynthesis Measurement Systems: What’s the Impact for Physiologists and Modelers?”. New Phytologist, vol. 233, no. 2, 2022, pp. 592-8, https://doi.org/https://doi.org/10.1111/nph.17762.
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    • Rogers, Alistair, et al. “Reducing Model Uncertainty of Climate Change Impacts on High Latitude Carbon Assimilation”. Global Change Biology, vol. 28, no. 4, 2022, pp. 1222-47, https://doi.org/https://doi.org/10.1111/gcb.15958 .
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    2021

    • Burnett, Angela C., et al. “A Best-Practice Guide to Predicting Plant Traits from Leaf-Level Hyperspectral Data Using Partial Least Squares Regression”. Journal of Experimental Botany, vol. 72, no. 18, 2021, pp. 6175-89, https://doi.org/10.1093/jxb/erab295.
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    • Ely, Kim S., et al. “A Reporting Format for Leaf-Level Gas Exchange Data and Metadata”. Ecological Informatics, vol. 61, 2021, p. 101232, https://doi.org/10.1016/j.ecoinf.2021.101232.
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    • Rogers, Alistair, et al. “Triose Phosphate Utilization Limitation: An Unnecessary Complexity in Terrestrial Biosphere Model Representation of Photosynthesis”. New Phytologist, 2021, https://doi.org/10.1111/nph.17092.
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    2020

    • Iversen, Colleen M., et al. “Building a Culture of Safety and Trust in Team Science”. Eos, vol. 101, 2020, https://doi.org/10.1029/2020EO143064.
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    2019

    • Serbin, Shawn P., et al. “From the Arctic to the Tropics: Multibiome Prediction of Leaf Mass Per Area Using Leaf Reflectance”. New Phytologist, vol. 224, 2019, pp. 1557-68, https://doi.org/10.1111/nph.16123.
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    • Kumarathunge, Dushan P., et al. “No Evidence for Triose Phosphate Limitation of light‐saturated Leaf Photosynthesis under Current Atmospheric Carbon Dioxide Concentration”. Plant, Cell & Environment, vol. 42, no. 12, 2019, pp. 3241-52, https://doi.org/10.1111/pce.13639.
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    • Rogers, Alistair, et al. “Terrestrial Biosphere Models May Overestimate Arctic Carbon Dioxide Assimilation If They Do Not Account for Decreased Quantum Yield and Convexity at Low Temperature”. New Phytologist, vol. 223, no. 223, 2019, pp. 167-79, https://doi.org/10.1111/nph.15750.
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    • Burnett, Angela C., et al. “The ‘one‐point method’ for Estimating Maximum Carboxylation Capacity of Photosynthesis: A Cautionary Tale”. Plant, Cell & Environment, vol. 42, no. 8, 2019, pp. 2472-81, https://doi.org/10.1111/pce.13574.
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    2018

    • Lombardozzi, Danica L., et al. “Triose Phosphate Limitation in Photosynthesis Models Reduces Leaf Photosynthesis and Global Terrestrial Carbon Storage”. Environmental Research Letters, vol. 13, no. 7, 2018, p. 074025, https://doi.org/10.1088/1748-9326/aacf68.
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    2017

    • Ghimire, Bardan, et al. “A Global Trait-Based Approach to Estimate Leaf Nitrogen Functional Allocation from Observations”. Ecological Applications, vol. 27, no. 5, 2017, pp. 1421-34, https://doi.org/10.1002/eap.1542.
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    • Rogers, Alistair, et al. “A Roadmap for Improving the Representation of Photosynthesis in Earth System Models”. New Phytologist, vol. 213, no. 1, 2017, pp. 22-42, https://doi.org/10.1111/nph.14283.
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    • Lewin, Keith F., et al. “A Zero-Power Warming Chamber for Investigating Plant Responses to Rising Temperature”. Biogeosciences, vol. 14, no. 18, 2017, pp. 4071-83, https://doi.org/10.5194/bg-14-4071-2017.
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    • Rogers, Alistair, et al. “Terrestrial Biosphere Models Underestimate Photosynthetic Capacity and Carbon Dioxide Assimilation in the Arctic”. New Phytologist, vol. 216: 1090-1103, no. 4, 2017, pp. 1090-03, https://doi.org/10.1111/nph.14740.
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    2016

    • Ali, Ashehad A., et al. “A Global Scale Mechanistic Model of Photosynthetic Capacity (LUNA V1.0)”. Geoscientific Model Development, vol. 9, no. 2, 2016, pp. 587-06, https://doi.org/10.5194/gmd-9-587-201610.5194/gmd-9-587-2016-supplement.
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    • De Kauwe, Martin G., et al. “A Test of the ‘one-Point method’ for Estimating Maximum Carboxylation Capacity from Field-Measured, Light-Saturated Photosynthesis”. New Phytologist, no. 3, 2016, pp. 1130-44, https://doi.org/10.1111/nph.13815.
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    2015

    • Ali, Ashehad A., et al. “Global-Scale Environmental Control of Plant Photosynthetic Capacity”. Ecological Applications, vol. 25, no. 8, 2015, pp. 2349-65, https://doi.org/10.1890/14-2111.110.1890/14-2111.1.sm.
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    • Lin, Yan-Shih, et al. “Optimal Stomatal Behaviour Around the World”. Nature Climate Change, vol. 5, no. 5, 2015, pp. 459-64, https://doi.org/10.1038/nclimate2550.
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    2014

    • Rogers, Alistair, et al. “Improving Representation of Photosynthesis in Earth System Models”. New Phytologist, vol. 204, no. 1, 2014, pp. 12-14, https://doi.org/10.1111/nph.12972.
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    • Rogers, Alistair. “The Use and Misuse of Vc,max in Earth System Models”. Photosynthesis Research, vol. 119, no. 1-2, 2014, pp. 15-29, https://doi.org/10.1007/s11120-013-9818-1.
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  • Peter E. Thornton

    2021

    • Sulman, Benjamin N., et al. “Integrating Arctic Plant Functional Types in a Land Surface Model Using Above‐ and Belowground Field Observations”. Journal of Advances in Modeling Earth Systems, vol. 13, no. 4, 2021, https://doi.org/10.1029/2020MS002396.
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    2019

    • Salmon, Verity G., et al. “Alder Distribution and Expansion across a Tundra Hillslope: Implications for Local N Cycling”. Frontiers in Plant Science, vol. 10, 2019, https://doi.org/10.3389/fpls.2019.01099.
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    • Wang, Yihui, et al. “Mechanistic Modeling of Microtopographic Impacts on Carbon Dioxide and Methane Fluxes in an Alaskan Tundra Ecosystem Using the CLM‐Microbe Model”. Journal of Advances in Modeling Earth Systems, vol. 11, 2019, p. 17, https://doi.org/10.1029/2019MS001771.
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    • Zheng, Jianqiu, et al. “Modeling Anaerobic Soil Organic Carbon Decomposition in Arctic Polygon Tundra: Insights into Soil Geochemical Influences on Carbon Mineralization”. Biogeosciences, vol. 16, no. 3, 2019, pp. 663-80, https://doi.org/10.5194/bg-16-663-2019.
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    2017

    • Xu, Xiaofeng, et al. “Global Pattern and Controls of Soil Microbial Metabolic Quotient”. Ecological Monographs, vol. 87, no. 3, 2017, pp. 429-41, https://doi.org/10.1002/ecm.1258.
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    2016

    • Tang, Guoping, et al. “Addressing Numerical Challenges in Introducing a Reactive Transport Code into a Land Surface Model: A Biogeochemical Modeling Proof-of-Concept With CLM–PFLOTRAN 1.0”. Geoscientific Model Development, vol. 9, no. 3, 2016, pp. 927-46, https://doi.org/10.5194/gmd-9-927-2016.
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    • Tang, Guoping, et al. “Biogeochemical Model of Carbon Dioxide and Methane Production in Anoxic Arctic Soil Microcosms”. Biogeosciences Discussions, 2016, pp. 1-31, https://doi.org/10.5194/bg-2016-20710.5194/bg-2016-207-supplement10.5194/bg-2016-207-RC110.5194/bg-2016-207-RC210.5194/bg-2016-207-RC310.5194/bg-2016-207-AC110.5194/bg-2016-207-AC2.
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    • Kumar, Jitendra, et al. “Modeling the Spatiotemporal Variability in Subsurface Thermal Regimes across a Low-Relief Polygonal Tundra Landscape”. The Cryosphere, vol. 10, no. 5, 2016, pp. 2241-74, https://doi.org/10.5194/tc-10-2241-2016.
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    • Xu, Xiaofeng, et al. “Reviews and Syntheses: Four Decades of Modeling Methane Cycling in Terrestrial Ecosystems”. Biogeosciences, vol. 13, no. 12, 2016, pp. 3735-5, https://doi.org/10.5194/bg-13-3735-2016.
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    2015

    • Xu, Xiaofeng, et al. “A Microbial Functional Group-Based Module for Simulating Methane Production and Consumption: Application to an Incubated Permafrost Soil”. Journal of Geophysical Research: Biogeosciences, vol. 120, no. 7, 2015, pp. 1315-33, https://doi.org/10.1002/2015JG002935.
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    • Wullschleger, Stan D., et al. “Leaf Respiration (GlobResp) - Global Trait Database Supports Earth System Models”. New Phytologist, vol. 206, no. 2, 2015, pp. 483-5, https://doi.org/10.1111/nph.13364.
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  • Margaret S. Torn

    2021

    • Mekonnen, Zelalem A., et al. “Arctic Tundra Shrubification: A Review of Mechanisms and Impacts on Ecosystem Carbon Balance”. Environmental Research Letters, vol. 16, no. 5, 2021, p. 053001, https://doi.org/10.1088/1748-9326/abf28b.
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    • Wainwright, Haruko M., et al. “High-Resolution Spatio-Temporal Estimation of Net Ecosystem Exchange in Ice-Wedge Polygon Tundra Using In Situ Sensors and Remote Sensing Data”. Land, vol. 10, no. 7, 2021, p. 722, https://doi.org/10.3390/land10070722.
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    • Dengel, Sigrid, et al. “Influence of Tundra Polygon Type and Climate Variability on Carbon Dioxide and Methane Fluxes Near Utqiagvik, Alaska”. Journal of Geophysical Research: Biogeosciences, vol. 126, no. 12, 2021, https://doi.org/10.1029/2021JG006262.
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    • Watts, Jennifer D., et al. “Soil Respiration Strongly Offsets Carbon Uptake in Alaska and Northwest Canada”. Environmental Research Letters, vol. 16, no. 8, 2021, p. 084051, https://doi.org/10.1088/1748-9326/ac1222.
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    • Virkkala, Anna-Maria, et al. “Statistical Upscaling of Ecosystem Carbon Dioxide Fluxes across the Terrestrial Tundra and Boreal Domain: Regional Patterns and Uncertainties”. Global Change Biology, vol. 27, no. 17, 2021, pp. 4040-59, https://doi.org/10.1111/gcb.v27.1710.1111/gcb.15659.
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    2020

    • Lehmann, Johannes, et al. “Persistence of Soil Organic Carbon Caused by Functional Complexity”. Nature Geoscience, vol. 13, no. 8, 2020, pp. 529-34, https://doi.org/10.1038/s41561-020-0612-3.
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    2019

    • Arora, Bhavna, et al. “Evaluating Temporal Controls on Greenhouse Gas (GHG) Fluxes in an Arctic Tundra Environment: An Entropy-Based Approach”. Science of The Total Environment, vol. 649, 2019, pp. 284-99, https://doi.org/10.1016/j.scitotenv.2018.08.251.
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    • Wang, Yihui, et al. “Mechanistic Modeling of Microtopographic Impacts on Carbon Dioxide and Methane Fluxes in an Alaskan Tundra Ecosystem Using the CLM‐Microbe Model”. Journal of Advances in Modeling Earth Systems, vol. 11, 2019, p. 17, https://doi.org/10.1029/2019MS001771.
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    • Grant, Robert F., et al. “Modeling Climate Change Impacts on an Arctic Polygonal Tundra: 2. Changes in Carbon Dioxide and Methane Exchange Depend on Rates of Permafrost Thaw As Affected by Changes in Vegetation and Drainage”. Journal of GeophysicalResearch: Biogeosciences, vol. 124, no. 5, 2019, pp. 1323-41, https://doi.org/10.1029/2018JG004645.
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    2018

    • Taş, Neslihan, et al. “Landscape Topography Structures the Soil Microbiome in Arctic Polygonal Tundra”. Nature Communications, vol. 9, no. 1, 2018, https://doi.org/10.1038/s41467-018-03089-z.
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    2017

    • Raz-Yaseef, Naama, et al. “Evapotranspiration across Plant Types and Geomorphological Units in Polygonal Arctic Tundra”. Journal of Hydrology, vol. 553, 2017, pp. 816-25, https://doi.org/10.1016/j.jhydrol.2017.08.036.
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    • Raz-Yaseef, Naama, et al. “Large Carbon Dioxide and Methane Emissions from Polygonal Tundra During Spring Thaw in Northern Alaska”. Geophysical Research Letters, vol. 44, no. 1, 2017, pp. 504-13, https://doi.org/10.1002/2016GL071220.
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    • Grant, Robert F., et al. “Mathematical Modeling of Arctic Polygonal Tundra With Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation”. Journal of Geophysical Research: Biogeosciences, vol. 122, no. 12, 2017, pp. 3161-73, https://doi.org/10.1002/2017JG004035.
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    • Grant, Robert F., et al. “Mathematical Modeling of Arctic Polygonal Tundra With Ecosys: 2. Microtopography Determines How Carbon Dioxide and Methane Exchange Responds to Changes in Temperature and Precipitation”. Journal of Geophysical Research: Biogeosciences, vol. 122, no. 12, 2017, pp. 3174-87, https://doi.org/10.1002/2017JG004037.
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    • Dwivedi, Dipankar, et al. “Mineral Properties, Microbes, Transport, and Plant-Input Profiles Control Vertical Distribution and Age of Soil Carbon Stocks”. Soil Biology and Biochemistry, vol. 107, 2017, pp. 244-59, https://doi.org/10.1016/j.soilbio.2016.12.019.
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    2016

    • Xu, Xiyan, et al. “A Multi-Scale Comparison of Modeled and Observed Seasonal Methane Emissions in Northern Wetlands”. Biogeosciences, vol. 13, no. 17, 2016, pp. 5043-56, https://doi.org/10.5194/bg-13-5043-201610.5194/bg-13-5043-2016-supplement.
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    • Vaughn, Lydia J. S., et al. “Isotopic Insights into Methane Production, Oxidation, and Emissions in Arctic Polygon Tundra”. Global Change Biology, vol. 22, no. 10, 2016, pp. 3487-02, https://doi.org/10.1111/gcb.2016.22.issue-1010.1111/gcb.13281.
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    2015

    • Wainwright, Haruko M., et al. “Identifying Multiscale Zonation and Assessing the Relative Importance of Polygon Geomorphology on Carbon Fluxes in an Arctic Tundra Ecosystem”. Journal of Geophysical Research: Biogeosciences, vol. 120, no. 4, 2015, pp. 788-0, https://doi.org/10.1002/2014JG002799.
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    • Throckmorton, Heather M., et al. “Pathways and Transformations of Dissolved Methane and Dissolved Inorganic Carbon in Arctic Tundra Watersheds: Evidence from Analysis of Stable Isotopes”. Global Biogeochemical Cycles, vol. 29, no. 11, 2015, pp. 1893-10, https://doi.org/10.1002/2014GB005044.
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    2014

    • Riley, William J., et al. “Long Residence Times of Rapidly Decomposable Soil Organic Matter: Application of a Multi-Phase, Multi-Component, and Vertically Resolved Model (BAMS1) to Soil Carbon Dynamics”. Geoscientific Model Development, vol. 7, no. 4, 2014, pp. 1335-5, https://doi.org/10.5194/gmd-7-1335-2014.
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