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Authors who are active project participants
Charles E. Miller
2021
- Cawse-Nicholson, Kerry, et al. “NASA’s Surface Biology and Geology Designated Observable: A Perspective on Surface Imaging Algorithms”. Remote Sensing of Environment, vol. 257, 2021, p. 112349, https://doi.org/10.1016/j.rse.2021.112349.
2018
- Parazoo, Nicholas C., et al. “Detecting the Permafrost Carbon Feedback: Talik Formation and Increased Cold-Seasonrespiration As Precursors to Sink-to-Source Transitions”. The Cryosphere Discussions, 2018, pp. 1-44, https://doi.org/10.5194/tc-2017-18910.5194/tc-2017-189-RC110.5194/tc-2017-189-RC210.5194/tc-2017-189-AC110.5194/tc-2017-189-AC2.
- Fisher, Joshua B., et al. “Missing Pieces to Modeling the Arctic-Boreal Puzzle”. Environmental Research Letters, vol. 13, no. 2, 2018, p. 020202, https://doi.org/10.1088/1748-9326/aa9d9a.
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.
- Parazoo, Nicholas C., et al. “Detecting Regional Patterns of Changing CO <sub>2< Sub> Flux in Alaska”. Proceedings of the National Academy of Sciences, vol. 113, no. 28, 2016, pp. 7733-8, https://doi.org/10.1073/pnas.1601085113.
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.
- 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 .
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.
- 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.
- 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.
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.
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.
- 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.
- 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.
- 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.
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.
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.
- 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.
- 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.
- 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.
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.
- 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.
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.
- 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.
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.
- 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.
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.
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.
- 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.
- 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.
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.
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.
- 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.
- 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.
- 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.
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.
- 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.