Articles | Volume 18, issue 6
https://doi.org/10.5194/bg-18-2027-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-18-2027-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Mar 2021
Research article |
| 22 Mar 2021
| 22 Mar 2021
Understanding the effect of fire on vegetation composition and gross primary production in a semi-arid shrubland ecosystem using the Ecosystem Demography (EDv2.2) model
Karun Pandit
CORRESPONDING AUTHOR
School of Forest, Fisheries, and Geomatics Sciences, University of Florida, 1745 McCarty Drive, Gainesville, FL 32611, USA
Hamid Dashti
School of Natural Resources and the Environment, University of Arizona, 1064 East Lowell Street, Tucson, AZ 8572, USA
Andrew T. Hudak
Rocky Mountain Research Station, US Forest Service, 1221 South Main Street,
Moscow, ID 83843, USA
Nancy F. Glenn
Department of Geosciences, Boise State University, 1910 University Dr, Boise, ID 83725, USA
Alejandro N. Flores
Department of Geosciences, Boise State University, 1910 University Dr, Boise, ID 83725, USA
Douglas J. Shinneman
Forest and Rangeland Ecosystem Science Center, US Geological Survey, 970 Lusk St., Boise, ID 83706, USA
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Karun Pandit, Hamid Dashti, Nancy F. Glenn, Alejandro N. Flores, Kaitlin C. Maguire, Douglas J. Shinneman, Gerald N. Flerchinger, and Aaron W. Fellows
Geosci. Model Dev., 12, 4585–4601, https://doi.org/10.5194/gmd-12-4585-2019, https://doi.org/10.5194/gmd-12-4585-2019, 2019
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We explored shrub parameters representing sagebrush ecosystems within a dynamic vegetation model and estimated gross primary production (GPP) for two sagebrush sites in the northern Great Basin. Comparison with observations from eddy covariance (EC) tower data showed our modeled results were encouraging, although some seasonal underestimates were apparent. We believe our findings on preliminary parameterization of shrub PFT is an important step towards subsequent studies on shrubland ecosystems.
Brenton A. Wilder, Joachim Meyer, Josh Enterkine, and Nancy F. Glenn
The Cryosphere, 18, 5015–5029, https://doi.org/10.5194/tc-18-5015-2024, https://doi.org/10.5194/tc-18-5015-2024, 2024
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Remotely sensed properties of snow are dependent on accurate terrain information, which for a lot of the cryosphere and seasonal snow zones is often insufficient in accuracy. However, as we show in this paper, we can bypass this issue by optimally solving for the terrain by utilizing the raw radiance data returned to the sensor. This method performed well when compared to validation datasets and has the potential to be used across a variety of different snow climates.
Rainey Aberle, Ellyn Enderlin, Shad O'Neel, Caitlyn Florentine, Louis Sass, Adam Dickson, Hans-Peter Marshall, and Alejandro Flores
EGUsphere, https://doi.org/10.5194/egusphere-2024-548, https://doi.org/10.5194/egusphere-2024-548, 2024
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Tracking seasonal snow on glaciers is critical for understanding glacier health. However, current snow detection methods struggle to distinguish seasonal snow from glacier ice. To address this, we developed a new automated workflow for tracking seasonal snow on glaciers using satellite imagery and machine learning. Applying this method can help provide insights into glacier health, water resources, and the effects of climate change on snow cover over broad spatial scales.
William Rudisill, Alejandro Flores, and Rosemary Carroll
Geosci. Model Dev., 16, 6531–6552, https://doi.org/10.5194/gmd-16-6531-2023, https://doi.org/10.5194/gmd-16-6531-2023, 2023
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It is important to know how well atmospheric models do in mountains, but there are not very many weather stations. We evaluate rain and snow from a model from 1987–2020 in the Upper Colorado River basin against the available data. The model works rather well, but there are still some uncertainties in remote locations. We then use snow maps collected by aircraft, streamflow measurements, and some advanced statistics to help identify how well the model works in ways we could not do before.
Ahmad Hojatimalekshah, Zachary Uhlmann, Nancy F. Glenn, Christopher A. Hiemstra, Christopher J. Tennant, Jake D. Graham, Lucas Spaete, Arthur Gelvin, Hans-Peter Marshall, James P. McNamara, and Josh Enterkine
The Cryosphere, 15, 2187–2209, https://doi.org/10.5194/tc-15-2187-2021, https://doi.org/10.5194/tc-15-2187-2021, 2021
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We describe the relationships between snow depth, vegetation canopy, and local-scale processes during the snow accumulation period using terrestrial laser scanning (TLS). In addition to topography and wind, our findings suggest the importance of fine-scale tree structure, species type, and distributions on snow depth. Snow depth increases from the canopy edge toward the open areas, but wind and topographic controls may affect this trend. TLS data are complementary to wide-area lidar surveys.
Miguel A. Aguayo, Alejandro N. Flores, James P. McNamara, Hans-Peter Marshall, and Jodi Mead
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-451, https://doi.org/10.5194/hess-2020-451, 2020
Manuscript not accepted for further review
Karun Pandit, Hamid Dashti, Nancy F. Glenn, Alejandro N. Flores, Kaitlin C. Maguire, Douglas J. Shinneman, Gerald N. Flerchinger, and Aaron W. Fellows
Geosci. Model Dev., 12, 4585–4601, https://doi.org/10.5194/gmd-12-4585-2019, https://doi.org/10.5194/gmd-12-4585-2019, 2019
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We explored shrub parameters representing sagebrush ecosystems within a dynamic vegetation model and estimated gross primary production (GPP) for two sagebrush sites in the northern Great Basin. Comparison with observations from eddy covariance (EC) tower data showed our modeled results were encouraging, although some seasonal underestimates were apparent. We believe our findings on preliminary parameterization of shrub PFT is an important step towards subsequent studies on shrubland ecosystems.
Roland Baatz, Pamela L. Sullivan, Li Li, Samantha R. Weintraub, Henry W. Loescher, Michael Mirtl, Peter M. Groffman, Diana H. Wall, Michael Young, Tim White, Hang Wen, Steffen Zacharias, Ingolf Kühn, Jianwu Tang, Jérôme Gaillardet, Isabelle Braud, Alejandro N. Flores, Praveen Kumar, Henry Lin, Teamrat Ghezzehei, Julia Jones, Henry L. Gholz, Harry Vereecken, and Kris Van Looy
Earth Syst. Dynam., 9, 593–609, https://doi.org/10.5194/esd-9-593-2018, https://doi.org/10.5194/esd-9-593-2018, 2018
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Focusing on the usage of integrated models and in situ Earth observatory networks, three challenges are identified to advance understanding of ESD, in particular to strengthen links between biotic and abiotic, and above- and below-ground processes. We propose developing a model platform for interdisciplinary usage, to formalize current network infrastructure based on complementarities and operational synergies, and to extend the reanalysis concept to the ecosystem and critical zone.
Bangshuai Han, Shawn G. Benner, and Alejandro N. Flores
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-140, https://doi.org/10.5194/hess-2018-140, 2018
Manuscript not accepted for further review
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Water scarcity is critical in semiarid regions with intensively managed water supplies. Climate change and water allocation laws, along with hydrological processes determine the spatial and temporal water scarcity patterns. We present a new efficient method that captures plausible variability of climate change, while explicitly capturing the complex irrigation activities as constrained by local water rights. It will be useful for semi-arid watersheds to project future water scarcity patterns.
Bangshuai Han, Shawn G. Benner, John P. Bolte, Kellie B. Vache, and Alejandro N. Flores
Hydrol. Earth Syst. Sci., 21, 3671–3685, https://doi.org/10.5194/hess-21-3671-2017, https://doi.org/10.5194/hess-21-3671-2017, 2017
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The western US relies heavily on irrigation water which is allocated following local water rights. We develop and test a novel model that explicitly integrates water rights into a conceptual hydrologic model to spatially allocate irrigation water. The model well captures the timing and magnitude of irrigation water allocation in our study area and is applicable to semi-arid regions with similar water right regulations. The results could inform future water policies and management decisions.
A. A. Harpold, J. A. Marshall, S. W. Lyon, T. B. Barnhart, B. A. Fisher, M. Donovan, K. M. Brubaker, C. J. Crosby, N. F. Glenn, C. L. Glennie, P. B. Kirchner, N. Lam, K. D. Mankoff, J. L. McCreight, N. P. Molotch, K. N. Musselman, J. Pelletier, T. Russo, H. Sangireddy, Y. Sjöberg, T. Swetnam, and N. West
Hydrol. Earth Syst. Sci., 19, 2881–2897, https://doi.org/10.5194/hess-19-2881-2015, https://doi.org/10.5194/hess-19-2881-2015, 2015
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This review's objective is to demonstrate the transformative potential of lidar by critically assessing both challenges and opportunities for transdisciplinary lidar applications in geomorphology, hydrology, and ecology. We find that using lidar to its full potential will require numerous advances, including more powerful open-source processing tools, new lidar acquisition technologies, and improved integration with physically based models and complementary observations.
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Jacob A. Nelson, Sophia Walther, Fabian Gans, Basil Kraft, Ulrich Weber, Kimberly Novick, Nina Buchmann, Mirco Migliavacca, Georg Wohlfahrt, Ladislav Šigut, Andreas Ibrom, Dario Papale, Mathias Göckede, Gregory Duveiller, Alexander Knohl, Lukas Hörtnagl, Russell L. Scott, Weijie Zhang, Zayd Mahmoud Hamdi, Markus Reichstein, Sergio Aranda-Barranco, Jonas Ardö, Maarten Op de Beeck, Dave Billesbach, David Bowling, Rosvel Bracho, Christian Brümmer, Gustau Camps-Valls, Shiping Chen, Jamie Rose Cleverly, Ankur Desai, Gang Dong, Tarek S. El-Madany, Eugenie Susanne Euskirchen, Iris Feigenwinter, Marta Galvagno, Giacomo A. Gerosa, Bert Gielen, Ignacio Goded, Sarah Goslee, Christopher Michael Gough, Bernard Heinesch, Kazuhito Ichii, Marcin Antoni Jackowicz-Korczynski, Anne Klosterhalfen, Sara Knox, Hideki Kobayashi, Kukka-Maaria Kohonen, Mika Korkiakoski, Ivan Mammarella, Mana Gharun, Riccardo Marzuoli, Roser Matamala, Stefan Metzger, Leonardo Montagnani, Giacomo Nicolini, Thomas O'Halloran, Jean-Marc Ourcival, Matthias Peichl, Elise Pendall, Borja Ruiz Reverter, Marilyn Roland, Simone Sabbatini, Torsten Sachs, Marius Schmidt, Christopher R. Schwalm, Ankit Shekhar, Richard Silberstein, Maria Lucia Silveira, Donatella Spano, Torbern Tagesson, Gianluca Tramontana, Carlo Trotta, Fabio Turco, Timo Vesala, Caroline Vincke, Domenico Vitale, Enrique R. Vivoni, Yi Wang, William Woodgate, Enrico A. Yepez, Junhui Zhang, Donatella Zona, and Martin Jung
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Biogeosciences, 21, 4285–4300, https://doi.org/10.5194/bg-21-4285-2024, https://doi.org/10.5194/bg-21-4285-2024, 2024
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Organic carbon and nitrogen are stabilized in soils via microbial assimilation and stabilization of necromass (in vivo pathway) or via adsorption of the products of extracellular decomposition (ex vivo pathway). Here we use a diagnostic model to quantify which stabilization pathway is prevalent using data on residue-derived carbon and nitrogen incorporation in mineral-associated organic matter. We find that the in vivo pathway is dominant in fine-textured soils with low organic matter content.
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Biogeosciences, 21, 3735–3760, https://doi.org/10.5194/bg-21-3735-2024, https://doi.org/10.5194/bg-21-3735-2024, 2024
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Ecosystem carbonyl sulfide (COS) fluxes were employed to optimize GPP estimation across ecosystems with the Biosphere-atmosphere Exchange Process Simulator (BEPS), which was developed for simulating the canopy COS uptake under its state-of-the-art two-leaf modeling framework. Our results showcased the efficacy of COS in improving model prediction and reducing prediction uncertainty of GPP and enhanced insights into the sensitivity, identifiability, and interactions of parameters related to COS.
Moritz Laub, Magdalena Necpalova, Marijn Van de Broek, Marc Corbeels, Samuel Mathu Ndungu, Monicah Wanjiku Mucheru-Muna, Daniel Mugendi, Rebecca Yegon, Wycliffe Waswa, Bernard Vanlauwe, and Johan Six
Biogeosciences, 21, 3691–3716, https://doi.org/10.5194/bg-21-3691-2024, https://doi.org/10.5194/bg-21-3691-2024, 2024
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EGUsphere, https://doi.org/10.5194/egusphere-2024-2371, https://doi.org/10.5194/egusphere-2024-2371, 2024
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Deposition from sulfur and nitrogen pollution can harm ecosystems, and recovery from this type of pollution can take decades or longer. To identify risk to Canadian soils, we created maps showing sensitivity to sulfur and nitrogen pollution. Results show that some ecosystems are at risk from acid and nutrient nitrogen deposition; 10 % of protected areas are receiving acid deposition beyond their damage threshold and 70 % may be receiving nitrogen deposition that could cause biodiversity loss.
Erik Schwarz, Samia Ghersheen, Salim Belyazid, and Stefano Manzoni
Biogeosciences, 21, 3441–3461, https://doi.org/10.5194/bg-21-3441-2024, https://doi.org/10.5194/bg-21-3441-2024, 2024
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The occurrence of unstable equilibrium points (EPs) could impede the applicability of microbial-explicit soil organic carbon models. For archetypal model versions we identify when instability can occur and describe mathematical conditions to avoid such unstable EPs. We discuss implications for further model development, highlighting the important role of considering basic ecological principles to ensure biologically meaningful models.
Sian Kou-Giesbrecht, Vivek K. Arora, Christian Seiler, and Libo Wang
Biogeosciences, 21, 3339–3371, https://doi.org/10.5194/bg-21-3339-2024, https://doi.org/10.5194/bg-21-3339-2024, 2024
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Terrestrial biosphere models can either prescribe the geographical distribution of biomes or simulate them dynamically, capturing climate-change-driven biome shifts. We isolate and examine the differences between these different land cover implementations. We find that the simulated terrestrial carbon sink at the end of the 21st century is twice as large in simulations with dynamic land cover than in simulations with prescribed land cover due to important range shifts in the Arctic and Amazon.
Elizabeth S. Duan, Luciana Chavez Rodriguez, Nicole Hemming-Schroeder, Baptiste Wijas, Habacuc Flores-Moreno, Alexander W. Cheesman, Lucas A. Cernusak, Michael J. Liddell, Paul Eggleton, Amy E. Zanne, and Steven D. Allison
Biogeosciences, 21, 3321–3338, https://doi.org/10.5194/bg-21-3321-2024, https://doi.org/10.5194/bg-21-3321-2024, 2024
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Understanding the link between climate and carbon fluxes is crucial for predicting how climate change will impact carbon sinks. We estimated carbon dioxide (CO2) fluxes from deadwood in tropical Australia using wood moisture content and temperature. Our model predicted that the majority of deadwood carbon is released as CO2, except when termite activity is detected. Future models should also incorporate wood traits, like species and chemical composition, to better predict fluxes.
Daniel Nadal-Sala, Rüdiger Grote, David Kraus, Uri Hochberg, Tamir Klein, Yael Wagner, Fedor Tatarinov, Dan Yakir, and Nadine K. Ruehr
Biogeosciences, 21, 2973–2994, https://doi.org/10.5194/bg-21-2973-2024, https://doi.org/10.5194/bg-21-2973-2024, 2024
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A hydraulic model approach is presented that can be added to any physiologically based ecosystem model. Simulated plant water potential triggers stomatal closure, photosynthesis decline, root–soil resistance increases, and sapwood and foliage senescence. The model has been evaluated at an extremely dry site stocked with Aleppo pine and was able to represent gas exchange, soil water content, and plant water potential. The model also responded realistically regarding leaf senescence.
Patrick Neri, Lianhong Gu, and Yang Song
Biogeosciences, 21, 2731–2758, https://doi.org/10.5194/bg-21-2731-2024, https://doi.org/10.5194/bg-21-2731-2024, 2024
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A first-of-its-kind global-scale model of temperature resilience and tolerance of photosystem II maximum quantum yield informs how plants maintain their efficiency of converting light energy to chemical energy for photosynthesis under temperature changes. Our finding explores this variation across plant functional types and habitat climatology, highlighting diverse temperature response strategies and a method to improve global-scale photosynthesis modeling under climate change.
Liyuan He, Jorge L. Mazza Rodrigues, Melanie A. Mayes, Chun-Ta Lai, David A. Lipson, and Xiaofeng Xu
Biogeosciences, 21, 2313–2333, https://doi.org/10.5194/bg-21-2313-2024, https://doi.org/10.5194/bg-21-2313-2024, 2024
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Soil microbes are the driving engine for biogeochemical cycles of carbon and nutrients. This study applies a microbial-explicit model to quantify bacteria and fungal biomass carbon in soils from 1901 to 2016. Results showed substantial increases in bacterial and fungal biomass carbon over the past century, jointly influenced by vegetation growth and soil temperature and moisture. This pioneering century-long estimation offers crucial insights into soil microbial roles in global carbon cycling.
Tao Chen, Félicien Meunier, Marc Peaucelle, Guoping Tang, Ye Yuan, and Hans Verbeeck
Biogeosciences, 21, 2253–2272, https://doi.org/10.5194/bg-21-2253-2024, https://doi.org/10.5194/bg-21-2253-2024, 2024
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Chinese subtropical forest ecosystems are an extremely important component of global forest ecosystems and hence crucial for the global carbon cycle and regional climate change. However, there is still great uncertainty in the relationship between subtropical forest carbon sequestration and its drivers. We provide first quantitative estimates of the individual and interactive effects of different drivers on the gross primary productivity changes of various subtropical forest types in China.
Ke Liu, Yujie Wang, Troy S. Magney, and Christian Frankenberg
Biogeosciences, 21, 1501–1516, https://doi.org/10.5194/bg-21-1501-2024, https://doi.org/10.5194/bg-21-1501-2024, 2024
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Stomata are pores on leaves that regulate gas exchange between plants and the atmosphere. Existing land models unrealistically assume stomata can jump between steady states when the environment changes. We implemented dynamic modeling to predict gradual stomatal responses at different scales. Results suggested that considering this effect on plant behavior patterns in diurnal cycles was important. Our framework also simplified simulations and can contribute to further efficiency improvements.
Melanie A. Thurner, Silvia Caldararu, Jan Engel, Anja Rammig, and Sönke Zaehle
Biogeosciences, 21, 1391–1410, https://doi.org/10.5194/bg-21-1391-2024, https://doi.org/10.5194/bg-21-1391-2024, 2024
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Due to their crucial role in terrestrial ecosystems, we implemented mycorrhizal fungi into the QUINCY terrestrial biosphere model. Fungi interact with mineral and organic soil to support plant N uptake and, thus, plant growth. Our results suggest that the effect of mycorrhizal interactions on simulated ecosystem dynamics is minor under constant environmental conditions but necessary to reproduce and understand observed patterns under changing conditions, such as rising atmospheric CO2.
Jinyun Tang and William J. Riley
Biogeosciences, 21, 1061–1070, https://doi.org/10.5194/bg-21-1061-2024, https://doi.org/10.5194/bg-21-1061-2024, 2024
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A chemical kinetics theory is proposed to explain the non-monotonic relationship between temperature and biochemical rates. It incorporates the observed thermally reversible enzyme denaturation that is ensured by the ceaseless thermal motion of molecules and ions in an enzyme solution and three well-established theories: (1) law of mass action, (2) diffusion-limited chemical reaction theory, and (3) transition state theory.
Nina Raoult, Louis-Axel Edouard-Rambaut, Nicolas Vuichard, Vladislav Bastrikov, Anne Sofie Lansø, Bertrand Guenet, and Philippe Peylin
Biogeosciences, 21, 1017–1036, https://doi.org/10.5194/bg-21-1017-2024, https://doi.org/10.5194/bg-21-1017-2024, 2024
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Observations are used to reduce uncertainty in land surface models (LSMs) by optimising poorly constraining parameters. However, optimising against current conditions does not necessarily ensure that the parameters treated as invariant will be robust in a changing climate. Manipulation experiments offer us a unique chance to optimise our models under different (here atmospheric CO2) conditions. By using these data in optimisations, we gain confidence in the future projections of LSMs.
Kelsey T. Foster, Wu Sun, Yoichi P. Shiga, Jiafu Mao, and Anna M. Michalak
Biogeosciences, 21, 869–891, https://doi.org/10.5194/bg-21-869-2024, https://doi.org/10.5194/bg-21-869-2024, 2024
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Assessing agreement between bottom-up and top-down methods across spatial scales can provide insights into the relationship between ensemble spread (difference across models) and model accuracy (difference between model estimates and reality). We find that ensemble spread is unlikely to be a good indicator of actual uncertainty in the North American carbon balance. However, models that are consistent with atmospheric constraints show stronger agreement between top-down and bottom-up estimates.
Victoria R. Dutch, Nick Rutter, Leanne Wake, Oliver Sonnentag, Gabriel Hould Gosselin, Melody Sandells, Chris Derksen, Branden Walker, Gesa Meyer, Richard Essery, Richard Kelly, Phillip Marsh, Julia Boike, and Matteo Detto
Biogeosciences, 21, 825–841, https://doi.org/10.5194/bg-21-825-2024, https://doi.org/10.5194/bg-21-825-2024, 2024
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We undertake a sensitivity study of three different parameters on the simulation of net ecosystem exchange (NEE) during the snow-covered non-growing season at an Arctic tundra site. Simulations are compared to eddy covariance measurements, with near-zero NEE simulated despite observed CO2 release. We then consider how to parameterise the model better in Arctic tundra environments on both sub-seasonal timescales and cumulatively throughout the snow-covered non-growing season.
Bertrand Guenet, Jérémie Orliac, Lauric Cécillon, Olivier Torres, Laura Sereni, Philip A. Martin, Pierre Barré, and Laurent Bopp
Biogeosciences, 21, 657–669, https://doi.org/10.5194/bg-21-657-2024, https://doi.org/10.5194/bg-21-657-2024, 2024
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Heterotrophic respiration fluxes are a major flux between surfaces and the atmosphere, but Earth system models do not yet represent them correctly. Here we benchmarked Earth system models against observation-based products, and we identified the important mechanisms that need to be improved in the next-generation Earth system models.
Shuyue Li, Bonnie Waring, Jennifer Powers, and David Medvigy
Biogeosciences, 21, 455–471, https://doi.org/10.5194/bg-21-455-2024, https://doi.org/10.5194/bg-21-455-2024, 2024
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We used an ecosystem model to simulate primary production of a tropical forest subjected to 3 years of nutrient fertilization. Simulations parameterized such that relative allocation to fine roots increased with increasing soil phosphorus had leaf, wood, and fine root production consistent with observations. However, these simulations seemed to over-allocate to fine roots on multidecadal timescales, affecting aboveground biomass. Additional observations across timescales would benefit models.
Stephen Björn Wirth, Arne Poyda, Friedhelm Taube, Britta Tietjen, Christoph Müller, Kirsten Thonicke, Anja Linstädter, Kai Behn, Sibyll Schaphoff, Werner von Bloh, and Susanne Rolinski
Biogeosciences, 21, 381–410, https://doi.org/10.5194/bg-21-381-2024, https://doi.org/10.5194/bg-21-381-2024, 2024
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In dynamic global vegetation models (DGVMs), the role of functional diversity in forage supply and soil organic carbon storage of grasslands is not explicitly taken into account. We introduced functional diversity into the Lund Potsdam Jena managed Land (LPJmL) DGVM using CSR theory. The new model reproduced well-known trade-offs between plant traits and can be used to quantify the role of functional diversity in climate change mitigation using different functional diversity scenarios.
Joe R. McNorton and Francesca Di Giuseppe
Biogeosciences, 21, 279–300, https://doi.org/10.5194/bg-21-279-2024, https://doi.org/10.5194/bg-21-279-2024, 2024
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Wildfires have wide-ranging consequences for local communities, air quality and ecosystems. Vegetation amount and moisture state are key components to forecast wildfires. We developed a combined model and satellite framework to characterise vegetation, including the type of fuel, whether it is alive or dead, and its moisture content. The daily data is at high resolution globally (~9 km). Our characteristics correlate with active fire data and can inform fire danger and spread modelling efforts.
Brooke A. Eastman, William R. Wieder, Melannie D. Hartman, Edward R. Brzostek, and William T. Peterjohn
Biogeosciences, 21, 201–221, https://doi.org/10.5194/bg-21-201-2024, https://doi.org/10.5194/bg-21-201-2024, 2024
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We compared soil model performance to data from a long-term nitrogen addition experiment in a forested ecosystem. We found that in order for soil carbon models to accurately predict future forest carbon sequestration, two key processes must respond dynamically to nitrogen availability: (1) plant allocation of carbon to wood versus roots and (2) rates of soil organic matter decomposition. Long-term experiments can help improve our predictions of the land carbon sink and its climate impact.
Jan De Pue, Sebastian Wieneke, Ana Bastos, José Miguel Barrios, Liyang Liu, Philippe Ciais, Alirio Arboleda, Rafiq Hamdi, Maral Maleki, Fabienne Maignan, Françoise Gellens-Meulenberghs, Ivan Janssens, and Manuela Balzarolo
Biogeosciences, 20, 4795–4818, https://doi.org/10.5194/bg-20-4795-2023, https://doi.org/10.5194/bg-20-4795-2023, 2023
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The gross primary production (GPP) of the terrestrial biosphere is a key source of variability in the global carbon cycle. To estimate this flux, models can rely on remote sensing data (RS-driven), meteorological data (meteo-driven) or a combination of both (hybrid). An intercomparison of 11 models demonstrated that RS-driven models lack the sensitivity to short-term anomalies. Conversely, the simulation of soil moisture dynamics and stress response remains a challenge in meteo-driven models.
Chad A. Burton, Luigi J. Renzullo, Sami W. Rifai, and Albert I. J. M. Van Dijk
Biogeosciences, 20, 4109–4134, https://doi.org/10.5194/bg-20-4109-2023, https://doi.org/10.5194/bg-20-4109-2023, 2023
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Australia's land-based ecosystems play a critical role in controlling the variability in the global land carbon sink. However, uncertainties in the methods used for quantifying carbon fluxes limit our understanding. We develop high-resolution estimates of Australia's land carbon fluxes using machine learning methods and find that Australia is, on average, a stronger carbon sink than previously thought and that the seasonal dynamics of the fluxes differ from those described by other methods.
Yuan Yan, Anne Klosterhalfen, Fernando Moyano, Matthias Cuntz, Andrew C. Manning, and Alexander Knohl
Biogeosciences, 20, 4087–4107, https://doi.org/10.5194/bg-20-4087-2023, https://doi.org/10.5194/bg-20-4087-2023, 2023
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A better understanding of O2 fluxes, their exchange ratios with CO2 and their interrelations with environmental conditions would provide further insights into biogeochemical ecosystem processes. We, therefore, used the multilayer canopy model CANVEG to simulate and analyze the flux exchange for our forest study site for 2012–2016. Based on these simulations, we further successfully tested the application of various micrometeorological methods and the prospects of real O2 flux measurements.
Jie Zhang, Elisabeth Larsen Kolstad, Wenxin Zhang, Iris Vogeler, and Søren O. Petersen
Biogeosciences, 20, 3895–3917, https://doi.org/10.5194/bg-20-3895-2023, https://doi.org/10.5194/bg-20-3895-2023, 2023
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Manure application to agricultural land often results in large and variable N2O emissions. We propose a model with a parsimonious structure to investigate N transformations around such N2O hotspots. The model allows for new detailed insights into the interactions between transport and microbial activities regarding N2O emissions in heterogeneous soil environments. It highlights the importance of solute diffusion to N2O emissions from such hotspots which are often ignored by process-based models.
Jukka Alm, Antti Wall, Jukka-Pekka Myllykangas, Paavo Ojanen, Juha Heikkinen, Helena M. Henttonen, Raija Laiho, Kari Minkkinen, Tarja Tuomainen, and Juha Mikola
Biogeosciences, 20, 3827–3855, https://doi.org/10.5194/bg-20-3827-2023, https://doi.org/10.5194/bg-20-3827-2023, 2023
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In Finland peatlands cover one-third of land area. For half of those, with 4.3 Mha being drained for forestry, Finland reports sinks and sources of greenhouse gases in forest lands on organic soils following its UNFCCC commitment. We describe a new method for compiling soil CO2 balance that follows changes in tree volume, tree harvests and temperature. An increasing trend of emissions from 1.4 to 7.9 Mt CO2 was calculated for drained peatland forest soils in Finland for 1990–2021.
Siqi Li, Bo Zhu, Xunhua Zheng, Pengcheng Hu, Shenghui Han, Jihui Fan, Tao Wang, Rui Wang, Kai Wang, Zhisheng Yao, Chunyan Liu, Wei Zhang, and Yong Li
Biogeosciences, 20, 3555–3572, https://doi.org/10.5194/bg-20-3555-2023, https://doi.org/10.5194/bg-20-3555-2023, 2023
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Physical soil erosion and particulate carbon, nitrogen and phosphorus loss modules were incorporated into the process-oriented hydro-biogeochemical model CNMM-DNDC to realize the accurate simulation of water-induced erosion and subsequent particulate nutrient losses at high spatiotemporal resolution.
Ivan Cornut, Nicolas Delpierre, Jean-Paul Laclau, Joannès Guillemot, Yann Nouvellon, Otavio Campoe, Jose Luiz Stape, Vitoria Fernanda Santos, and Guerric le Maire
Biogeosciences, 20, 3093–3117, https://doi.org/10.5194/bg-20-3093-2023, https://doi.org/10.5194/bg-20-3093-2023, 2023
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Potassium is an essential element for living organisms. Trees are dependent upon this element for certain functions that allow them to build their trunks using carbon dioxide. Using data from experiments in eucalypt plantations in Brazil and a simplified computer model of the plantations, we were able to investigate the effect that a lack of potassium can have on the production of wood. Understanding nutrient cycles is useful to understand the response of forests to environmental change.
Ivan Cornut, Guerric le Maire, Jean-Paul Laclau, Joannès Guillemot, Yann Nouvellon, and Nicolas Delpierre
Biogeosciences, 20, 3119–3135, https://doi.org/10.5194/bg-20-3119-2023, https://doi.org/10.5194/bg-20-3119-2023, 2023
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After simulating the effects of low levels of potassium on the canopy of trees and the uptake of carbon dioxide from the atmosphere by leaves in Part 1, here we tried to simulate the way the trees use the carbon they have acquired and the interaction with the potassium cycle in the tree. We show that the effect of low potassium on the efficiency of the trees in acquiring carbon is enough to explain why they produce less wood when they are in soils with low levels of potassium.
Xiaojuan Yang, Peter Thornton, Daniel Ricciuto, Yilong Wang, and Forrest Hoffman
Biogeosciences, 20, 2813–2836, https://doi.org/10.5194/bg-20-2813-2023, https://doi.org/10.5194/bg-20-2813-2023, 2023
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We evaluated the performance of a land surface model (ELMv1-CNP) that includes both nitrogen (N) and phosphorus (P) limitation on carbon cycle processes. We show that ELMv1-CNP produces realistic estimates of present-day carbon pools and fluxes. We show that global C sources and sinks are significantly affected by P limitation. Our study suggests that introduction of P limitation in land surface models is likely to have substantial consequences for projections of future carbon uptake.
Kevin R. Wilcox, Scott L. Collins, Alan K. Knapp, William Pockman, Zheng Shi, Melinda D. Smith, and Yiqi Luo
Biogeosciences, 20, 2707–2725, https://doi.org/10.5194/bg-20-2707-2023, https://doi.org/10.5194/bg-20-2707-2023, 2023
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The capacity for carbon storage (C capacity) is an attribute that determines how ecosystems store carbon in the future. Here, we employ novel data–model integration techniques to identify the carbon capacity of six grassland sites spanning the US Great Plains. Hot and dry sites had low C capacity due to less plant growth and high turnover of soil C, so they may be a C source in the future. Alternately, cooler and wetter ecosystems had high C capacity, so these systems may be a future C sink.
Ara Cho, Linda M. J. Kooijmans, Kukka-Maaria Kohonen, Richard Wehr, and Maarten C. Krol
Biogeosciences, 20, 2573–2594, https://doi.org/10.5194/bg-20-2573-2023, https://doi.org/10.5194/bg-20-2573-2023, 2023
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Carbonyl sulfide (COS) is a useful constraint for estimating photosynthesis. To simulate COS leaf flux better in the SiB4 model, we propose a novel temperature function for enzyme carbonic anhydrase (CA) activity and optimize conductances using observations. The optimal activity of CA occurs below 40 °C, and Ball–Woodrow–Berry parameters are slightly changed. These reduce/increase uptakes in the tropics/higher latitudes and contribute to resolving discrepancies in the COS global budget.
Yunyao Ma, Bettina Weber, Alexandra Kratz, José Raggio, Claudia Colesie, Maik Veste, Maaike Y. Bader, and Philipp Porada
Biogeosciences, 20, 2553–2572, https://doi.org/10.5194/bg-20-2553-2023, https://doi.org/10.5194/bg-20-2553-2023, 2023
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We found that the modelled annual carbon balance of biocrusts is strongly affected by both the environment (mostly air temperature and CO2 concentration) and physiology, such as temperature response of respiration. However, the relative impacts of these drivers vary across regions with different climates. Uncertainty in driving factors may lead to unrealistic carbon balance estimates, particularly in temperate climates, and may be explained by seasonal variation of physiology due to acclimation.
Alexander J. Norton, A. Anthony Bloom, Nicholas C. Parazoo, Paul A. Levine, Shuang Ma, Renato K. Braghiere, and T. Luke Smallman
Biogeosciences, 20, 2455–2484, https://doi.org/10.5194/bg-20-2455-2023, https://doi.org/10.5194/bg-20-2455-2023, 2023
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This study explores how the representation of leaf phenology affects our ability to predict changes to the carbon balance of land ecosystems. We calibrate a new leaf phenology model against a diverse range of observations at six forest sites, showing that it improves the predictive capability of the processes underlying the ecosystem carbon balance. We then show how changes in temperature and rainfall affect the ecosystem carbon balance with this new model.
Libo Wang, Vivek K. Arora, Paul Bartlett, Ed Chan, and Salvatore R. Curasi
Biogeosciences, 20, 2265–2282, https://doi.org/10.5194/bg-20-2265-2023, https://doi.org/10.5194/bg-20-2265-2023, 2023
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Plant functional types (PFTs) are groups of plant species used to represent vegetation distribution in land surface models. There are large uncertainties associated with existing methods for mapping land cover datasets to PFTs. This study demonstrates how fine-resolution tree cover fraction and land cover datasets can be used to inform the PFT mapping process and reduce the uncertainties. The proposed largely objective method makes it easier to implement new land cover products in models.
Jennifer A. Holm, David M. Medvigy, Benjamin Smith, Jeffrey S. Dukes, Claus Beier, Mikhail Mishurov, Xiangtao Xu, Jeremy W. Lichstein, Craig D. Allen, Klaus S. Larsen, Yiqi Luo, Cari Ficken, William T. Pockman, William R. L. Anderegg, and Anja Rammig
Biogeosciences, 20, 2117–2142, https://doi.org/10.5194/bg-20-2117-2023, https://doi.org/10.5194/bg-20-2117-2023, 2023
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Unprecedented climate extremes (UCEs) are expected to have dramatic impacts on ecosystems. We present a road map of how dynamic vegetation models can explore extreme drought and climate change and assess ecological processes to measure and reduce model uncertainties. The models predict strong nonlinear responses to UCEs. Due to different model representations, the models differ in magnitude and trajectory of forest loss. Therefore, we explore specific plant responses that reflect knowledge gaps.
Veronika Kronnäs, Klas Lucander, Giuliana Zanchi, Nadja Stadlinger, Salim Belyazid, and Cecilia Akselsson
Biogeosciences, 20, 1879–1899, https://doi.org/10.5194/bg-20-1879-2023, https://doi.org/10.5194/bg-20-1879-2023, 2023
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In a future climate, extreme droughts might become more common. Climate change and droughts can have negative effects on soil weathering and plant health.
In this study, climate change effects on weathering were studied on sites in Sweden using the model ForSAFE, a climate change scenario and an extreme drought scenario. The modelling shows that weathering is higher during summer and increases with global warming but that weathering during drought summers can become as low as winter weathering.
Agustín Sarquis and Carlos A. Sierra
Biogeosciences, 20, 1759–1771, https://doi.org/10.5194/bg-20-1759-2023, https://doi.org/10.5194/bg-20-1759-2023, 2023
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Although plant litter is chemically and physically heterogenous and undergoes multiple transformations, models that represent litter dynamics often ignore this complexity. We used a multi-model inference framework to include information content in litter decomposition datasets and studied the time it takes for litter to decompose as measured by the transit time. In arid lands, the median transit time of litter is about 3 years and has a negative correlation with mean annual temperature.
Qi Guan, Jing Tang, Lian Feng, Stefan Olin, and Guy Schurgers
Biogeosciences, 20, 1635–1648, https://doi.org/10.5194/bg-20-1635-2023, https://doi.org/10.5194/bg-20-1635-2023, 2023
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Understanding terrestrial sources of nitrogen is vital to examine lake eutrophication changes. Combining process-based ecosystem modeling and satellite observations, we found that land-leached nitrogen in the Yangtze Plain significantly increased from 1979 to 2018, and terrestrial nutrient sources were positively correlated with eutrophication trends observed in most lakes, demonstrating the necessity of sustainable nitrogen management to control eutrophication.
Vivek K. Arora, Christian Seiler, Libo Wang, and Sian Kou-Giesbrecht
Biogeosciences, 20, 1313–1355, https://doi.org/10.5194/bg-20-1313-2023, https://doi.org/10.5194/bg-20-1313-2023, 2023
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The behaviour of natural systems is now very often represented through mathematical models. These models represent our understanding of how nature works. Of course, nature does not care about our understanding. Since our understanding is not perfect, evaluating models is challenging, and there are uncertainties. This paper illustrates this uncertainty for land models and argues that evaluating models in light of the uncertainty in various components provides useful information.
Cited articles
Baker, W. L.: Fire and Restoration of Sagebrush Ecosystems, Wildlife Soc. B., 34, 177–185, https://doi.org/10.2193/0091-7648(2006)34[177:farose]2.0.co;2,
2006. a, b
BLM: Bureau of Land Management: Soda Fire: Emergency Stabilization and
Rehabilitation, Idaho and Oregon, available at:
https://www.blm.gov/sites/blm.gov/files/Program_FishandWildlife_WildllifeIdahoSodaFireESR_StatusReport.pdf (last access: 9 July 2019),
2016. a
Bond-Lamberty, B., Fisk, J. P., Holm, J. A., Bailey, V., Bohrer, G., and Gough, C. M.: Moderate forest disturbance as a stringent test for gap and big-leaf models, Biogeosciences, 12, 513–526, https://doi.org/10.5194/bg-12-513-2015, 2015. a
Bradley, B. A.: Assessing ecosystem threats from global and regional change:
Hierarchical modeling of risk to sagebrush ecosystems from climate change,
land use and invasive species in Nevada, USA, Ecography, 33, 198–208,
https://doi.org/10.1111/j.1600-0587.2009.05684.x, 2010. a
Bradley, B. A., Houghton, R. A., Mustard, J. F., and Hamburg, S. P.: Invasive grass reduces aboveground carbon stocks in shrublands of the Western US, Glob. Change Biol., 12, 1815–1822,
https://doi.org/10.1111/j.1365-2486.2006.01232.x, 2006. a
Bradley, B. A., Curtis, C. A., Fusco, E. J., Abatzoglou, J. T., Balch, J. K.,
Dadashi, S., and Tuanmu, M. N.: Cheatgrass (Bromus tectorum) distribution in the intermountain Western United States and its relationship to fire
frequency, seasonality, and ignitions, Biol. Invasions, 20, 1493–1506,
https://doi.org/10.1007/s10530-017-1641-8, 2018. a, b
Brooks, M. L., , D'Antonio, C. M., Richardson, D. M., Grace, J. B., Keeley,
J. E., DiTomaso, J. M., Hobbs, R. J., Pellant, M., and Pyke, D.: Effects of Invasive Alien Plants on Fire Regimes, Bioscience, 54, 677,
https://doi.org/10.1641/0006-3568(2004)054[0677:eoiapo]2.0.co;2, 2004. a
Building, W., Analysis, E., Barbara, S., Barbara, S., Balch, J. K., Bradley,
B. A., D'Antonio, C. M., and Gómez-Dans, J.: Introduced annual grass
increases regional fire activity across the arid western USA (1980–2009),
Glob. Change Biol., 19, 173–183, https://doi.org/10.1111/gcb.12046, 2013. a
Bukowski, B. E. and Baker, W. L.: Historical fire regimes, reconstructed from land-survey data, led to complexity and fluctuation in sagebrush landscapes, Ecol. Appl., 23, 546–564, https://doi.org/10.1890/12-0844.1, 2013. a
Chambers, J. C.: Seed movements and seedling fates in disturbed sagebrush
steppe ecosystems: implications for restoration, Ecol. Appl.,
10, 1400–1413, 2000. a
Cleary, M. B., Pendall, E., and Ewers, B. E.: Aboveground and belowground
carbon pools after fire in mountain big sagebrush steppe, Rangeland Ecol. Manag., 63, 187–196, https://doi.org/10.2111/REM-D-09-00117.1, 2010. a
Diamond, J. M., Call, C. A., and Devoe, N.: Effects of Targeted Grazing and
Prescribed Burning on Community and Seed Dynamics of a Downy Brome (Bromus
tectorum)–Dominated Landscape, Invas. Plant Sci. Mana., 5, 259–269, https://doi.org/10.1614/ipsm-d-10-00065.1, 2012. a
ED2 Model Development Team: Ecosystem Demography model (ED-2) code
repository, available at: https://github.com/EDmodel/ED2 (last access: 5
November 2019), 2014. a
Ellsworth, L. M., Wrobleski, D. W., Kauffman, J. B., and Reis, S. A.:
Ecosystem resilience is evident 17 years after fire in Wyoming big sagebrush
ecosystems, Ecosphere, 7, e01618, https://doi.org/10.1002/ecs2.1618, 2016. a, b
Fellows, A. W., Flerchinger, G. N., Seyfried, M. S., and Lohse, K.: Data for
Partitioned Carbon and Energy Fluxes Within the Reynolds Creek Critical Zone Observatory, Data set, ScholarWorks – Boise State University, https://doi.org/10.18122/B2TD7V,
2017. a
Fisher, R., McDowell, N., Purves, D., Moorcroft, P., Sitch, S., Cox, P.,
Huntingford, C., Meir, P., and Ian Woodward, F.: Assessing uncertainties
in a second-generation dynamic vegetation model caused by ecological scale
limitations, New Phytol., 187, 666–681,
https://doi.org/10.1111/j.1469-8137.2010.03340.x, 2010. a, b, c
Fisher, R. A. and Koven, C. D.: Perspectives on the Future of Land Surface
Models and the Challenges of Representing Complex Terrestrial Systems,
J. Adv. Model. Earth Sy., 12, e2018MS001453,
https://doi.org/10.1029/2018MS001453, 2020. a
Fisher, R. A., Koven, C. D., Anderegg, W. R., Christoffersen, B. O., Dietze,
M. C., Farrior, C. E., Holm, J. A., Hurtt, G. C., Knox, R. G., Lawrence,
P. J., Lichstein, J. W., Longo, M., Matheny, A. M., Medvigy, D.,
Muller-Landau, H. C., Powell, T. L., Serbin, S. P., Sato, H., Shuman, J. K.,
Smith, B., Trugman, A. T., Viskari, T., Verbeeck, H., Weng, E., Xu, C., Xu,
X., Zhang, T., and Moorcroft, P. R.: Vegetation demographics in Earth System
Models: A review of progress and priorities, Glob. Change Biol., 24,
35–54, https://doi.org/10.1111/gcb.13910, 2018. a
Flerchinger, G. N., Fellows, A. W., Seyfried, M. S., Clark, P. E., and Lohse,
K. A.: Water and Carbon Fluxes Along an Elevational Gradient in a Sagebrush
Ecosystem, Ecosystems, 23, 246–263, https://doi.org/10.1007/s10021-019-00400-x, 2020. a, b
Flores, A., Masarik, M., and Watson, K.: A 30-Year, Multi-Domain
High-Resolution Climate Simulation Dataset for the Interior Pacific Northwest and Southern Idaho, ScholarWorks – Boise State University, https://doi.org/10.18122/B2LEAFD001,
2016. a
Fusco, E. J., Rau, B. M., Falkowski, M., Filippelli, S., and Bradley, B. A.:
Accounting for aboveground carbon storage in shrubland and woodland
ecosystems in the Great Basin, Ecosphere, 10, e02821, https://doi.org/10.1002/ecs2.2821, 2019. a
Glenn, N. F., Spaete, L. P., Shrestha, R., Li, A. Ilangakoon, N., Mitchell, J., Ustin, S. L., Qi, Y., Dashti, H., and Finan, K.: Shrubland Species Cover,
Biometric, Carbon and Nitrogen Data, Southern Idaho, ORNL DAAC, Oak Ridge,
Tennessee, USA, https://doi.org/10.3334/ORNLDAAC/1503, 2017. a
Hood, S. M. and Miller, M.: Fire ecology and management of the major
ecosystems of southern Utah, US Forest Service, Gen. Tech. Rep.
RMRS-GTR-202, 110 pp., 2007. a
Keane, R. E., Agee, J. K., Fuĺ, P., Keeley, J. E., Key, C., Kitchen, S. G.,
Miller, R., and Schulte, L. A.: Ecological effects of large fires on US
landscapes: Benefit or catastrophe?, Int. J. Wildland Fire, 17, 696–712, https://doi.org/10.1071/WF07148, 2008. a, b
Kim, Y., Knox, R. G., Longo, M., Medvigy, D., Hutyra, L. R., Pyle, E. H.,
Wofsy, S. C., Bras, R. L., and Moorcroft, P. R.: Seasonal carbon dynamics
and water fluxes in an Amazon rainforest, Glob. Change Biol., 18,
1322–1334, https://doi.org/10.1111/j.1365-2486.2011.02629.x, 2012. a
Knick, S. T., Dobkin, D. S., Rotenberry, J. T., Schroeder, M. A., Vander
Haegen, W. M., and van Riper, C.: Teetering on the Edge or Too Late?
Conservation and Research Issues for Avifauna of Sagebrush Habitats,
Condor, 105, 611–634, https://doi.org/10.1650/7329, 2003. a
Knorr, W., Jiang, L., and Arneth, A.: Climate, CO2 and human population impacts on global wildfire emissions, Biogeosciences, 13, 267–282, https://doi.org/10.5194/bg-13-267-2016, 2016. a
Knutson, K. C., Pyke, D. A., Wirth, T. A., Arkle, R. S., Pilliod, D. S.,
Brooks, M. L., Chambers, J. C., and Grace, J. B.: Long-term effects of
seeding after wildfire on vegetation in Great Basin shrubland ecosystems,
J. Appl. Ecol., 51, 1414–1424, https://doi.org/10.1111/1365-2664.12309,
2014. a
LCC: Landscape Conservation Cooperatives, 2015: LCC Network Areas OGC
Webservices,, available at:
https://www.sciencebase.gov/catalog/item/55c52e08e4b033ef5212bd75 (last access: 21 April 2018), 2015. a
Lenihan, J. M., Bachelet, D., Neilson, R. P., and Drapek, R.: Response of
vegetation distribution, ecosystem productivity, and fire to climate change
scenarios for California, Clim. Change, 87, 215–230,
https://doi.org/10.1007/s10584-007-9362-0, 2007. a
Lesica, P., Cooper, S. V., and Kudray, G.: Recovery of big sagebrush following fire in southwest Montana, Rangeland Ecol. Manag., 60, 261–269, https://doi.org/10.2111/1551-5028(2007)60[261:ROBSFF]2.0.CO;2, 2007. a
Levis, S., Bonan, G. B., Vertenstein, M., and Oleson, K. W.: The Community
Land Model's Dynamic Global Vegetation Model (CLM-DGVM): Technical
Description and User's Guide, NCAR/Tn-459+Ia, 50 pp., https://doi.org/10.5065/D6P26W36 CN – 03559 LA – en, University Corporation for Atmospheric Research, 2004. a
Li, F., Zeng, X. D., and Levis, S.: A process-based fire parameterization of intermediate complexity in a Dynamic Global Vegetation Model, Biogeosciences, 9, 2761–2780, https://doi.org/10.5194/bg-9-2761-2012, 2012. a, b
Longo, M., Knox, R. G., Levine, N. M., Swann, A. L. S., Medvigy, D. M., Dietze, M. C., Kim, Y., Zhang, K., Bonal, D., Burban, B., Camargo, P. B., Hayek, M. N., Saleska, S. R., da Silva, R., Bras, R. L., Wofsy, S. C., and Moorcroft, P. R.: The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America, Geosci. Model Dev., 12, 4347–4374, https://doi.org/10.5194/gmd-12-4347-2019, 2019a. a, b
Longo, M., Knox, R. G., Medvigy, D. M., Levine, N. M., Dietze, M. C., Kim, Y., Swann, A. L. S., Zhang, K., Rollinson, C. R., Bras, R. L., Wofsy, S. C., and Moorcroft, P. R.: The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description, Geosci. Model Dev., 12, 4309–4346, https://doi.org/10.5194/gmd-12-4309-2019, 2019b. a, b
McArthur, E. D. and Stevens, R.: Composite shrubs, in: comps. Restoring western ranges and wildlands, edited by: Monsen, S. B., Stevens, R., and Shaw, N. L., vol. 2. US Forest Service, Gen. Tech. Rep. RMRS-GTR-136-vol-2, 493–538, 2004. a
Medvigy, D., Wofsy, S. C., Munger, J. W., Hollinger, D. Y., and Moorcroft,
P. R.: Mechanistic scaling of ecosystem function and dynamics in space and
time: Ecosystem Demography model version 2, J. Geophys. Res.-Biogeosci., 114, G01002, https://doi.org/10.1029/2008JG000812, 2009. a, b
Medvigy, D. M.: The state of the regional carbon cycle: Results from a coupled constrained ecosystem-atmosphere model, PhD thesis, Harvard University, Cambridge, MA, 2006. a
Miller, R. F., Chambers, J. C., Pyke, D. A., Pierson, F. B., and Jason
Williams, C.: A review of fire effects on vegetation and soils in the great basin region: Response and ecological site characteristics, USDA Forest Service – General Technical Report RMRS-GTR, 2013. a
Moorcroft, P. R.: Recent advances in ecosystem-atmosphere interactions: An
ecological perspective, P. Roy. Soc. B-Biol. Sci., 270, 1215–1227, https://doi.org/10.1098/rspb.2002.2251, 2003. a
Murphy, T., Naugle, D. E., Eardley, R., Maestas, J. D., Griffiths, T., Pellant, M., and Stiver, S. J.: Trial by fire, Rangelands, 35, 2–10,
https://doi.org/10.2111/RANGELANDS-D-13-00009.1, 2013. a
National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce: NCEP North American Regional Reanalysis (NARR), available at: https://rda.ucar.edu/datasets/ds608.0/ (last access: 17
November 2018), 2005. a
Nelson, Z. J., Weisberg, P. J., and Kitchen, S. G.: Influence of climate and
environment on post-fire recovery of mountain big sagebrush, Int.
J. Wildland Fire, 23, 131–142, https://doi.org/10.1071/WF13012, 2014. a, b
NOAA: National Oceanic and Atmospheric Administration: Monthly total
precipitation for Boise area, NOAA online weather data, available at:
https://w2.weather.gov/climate/xmacis.php?wfo=boi, last
access: 24 October 2019. a
Pandit, K.: Modified source codes for ED2 with shrub parameters, Zenodo,
https://doi.org/10.5281/zenodo.3461233 (last access: 17 June 2020), 2019. a
Pandit, K.: Data for ED2 fire scenarios, Zenodo,
https://doi.org/10.5281/zenodo.4498422, last access: 4
February 2021. a
Pandit, K., Dashti, H., Glenn, N. F., Flores, A. N., Maguire, K. C., Shinneman, D. J., Flerchinger, G. N., and Fellows, A. W.: Developing and optimizing shrub parameters representing sagebrush (Artemisia spp.) ecosystems in the northern Great Basin using the Ecosystem Demography (EDv2.2) model, Geosci. Model Dev., 12, 4585–4601, https://doi.org/10.5194/gmd-12-4585-2019, 2019. a, b, c, d
Pilliod, D. S., Welty, J. L., and Arkle, R. S.: Refining the cheatgrass–fire
cycle in the Great Basin: Precipitation timing and fine fuel composition
predict wildfire trends, Ecol. Evol., 7, 8126–8151,
https://doi.org/10.1002/ece3.3414, 2017. a
Pyke, D., Chambers, J., Pellant, M., Knick, S., Miller, R., Beck, J., Doescher, P., Schupp, E., Roundy, B., Brunson, M., and McIver, J.: Restoration Handbook for Sagebrush Steppe Ecosystems with Emphasis on Greater Sage-Grouse Habitat – Part 1. Concepts for Understanding and Applying Restoration, United States Geological Survey – United States Department of the Interior, https://doi.org/10.3133/cir1416, 2015. a
Renwick, K. M., Fellows, A., Flerchinger, G. N., Lohse, K. A., Clark, P. E.,
Smith, W. K., Emmett, K., and Poulter, B.: Modeling phenological controls on
carbon dynamics in dryland sagebrush ecosystems, Agr. Forest
Meteorol., 274, 85–94, https://doi.org/10.1016/j.agrformet.2019.04.003, 2019. a
Rew, L. J. and Johnson, M. P.: Reviewing the Role of Wildfire on the
Occurrence and Spread of Invasive Plant Species in Wildland Areas of the
Intermountain Western United States, Invasive Plant Sci. Manag.,
3, 347–364, https://doi.org/10.1614/ipsm-08-107.1, 2010. a
Rigge, M., Shi, H., Homer, C., Danielson, P., and Granneman, B.: Long-term
trajectories of fractional component change in the Northern Great Basin,
USA, Ecosphere, 10, https://doi.org/10.1002/ecs2.2762, 2019. a
Robinson, N., Allred B.W.and Smith, W., Jones, M. O., Moreno, A., Erickson,
T. A., Naugle, D. E., and Running, S. W.: Terrestrial primary production for
the conterminous United States derived from Landsat 30 m and MODIS 250 m,
Remote Sens. Ecol. Conserv., 4, 264–280,
https://doi.org/10.1002/rse2.74, 2018. a, b
Running, S. W., Nemani, R. R., Heinsch, F. A. N. N., Zhao, M., Reeves, M., and
Hashimoto, H.: A Continuous Satellite-Derived Measure of Global Terrestrial
Primary Production, Bioscience, 54, 547–560,
https://doi.org/10.1641/0006-3568(2004)054[0547:acsmog]2.0.co;2, 2004. a
Schroeder, M. A., Aldridge, C. L., Apa, A. D., Bohne, J. R., Braun, C. E.,
Bunnell, S. D., Connelly, J. W., Deibert, P. A., Gardner, S. C., Hilliard,
M. A., Kobriger, G. D., McAdam, S. M., McCarthy, C. W., McCarthy, J. J.,
Mitchell, D. L., Rickerson, E. V., and Stiver, S. J.: Distribution of
Sage-Grouse in North America, Condor, 106, 363–376, https://doi.org/10.1650/7425,
2004. a
Sellers, P. J., Berry, J. A., Collatz, G. J., Field, C. B., and Hall, F. G.:
Canopy reflectance, photosynthesis, and transpiration. III. A reanalysis
using improved leaf models and a new canopy integration scheme, Remote
Sens. Environ., 42, 187–216, 1992. a
Seyfried, M. S., Harris, R. C., Marks, D. G., and Jacob, B.: A Geographic
Database for Watershed Research, Reynolds Creek Experimental Watershed,
Idaho, USA, ARS Technical Bulletin, NWRC-2000-, 2000. a
Shinneman, D. J. and Baker, W. L.: Environmental and climatic variables as
potential drivers of post-fire cover of cheatgrass (Bromus tectorum) in
seeded and unseeded semiarid ecosystems, Int. J. Wildland
Fire, 18, 191–202, https://doi.org/10.1071/WF07043, 2009. a
Shinneman, D. J. and McIlroy, S. K.: Identifying key climate and environmental
factors affecting rates of post-fire big sagebrush (Artemisia tridentata)
recovery in the northern Columbia Basin, USA, Int. J. Wildland Fire, 25, 933–945, https://doi.org/10.1071/WF16013, 2016. a
Shriver, R. K., Andrews, C. M., Pilliod, D. S., Arkle, R. S., Welty, J. L.,
Germino, M. J., Duniway, M. C., Pyke, D. A., and Bradford, J. B.: Adapting
management to a changing world: Warm temperatures, dry soil, and interannual
variability limit restoration success of a dominant woody shrub in temperate
drylands, Glob. Change Biol., 24, 4972–4982, https://doi.org/10.1111/gcb.14374,
2018. a, b
Skamarock, W., Klemp, J., Dudhi, J., Gill, D., Barker, D., Duda, M., Huang,
X.-Y., Wang, W., and Powers, J.: A Description of the Advanced Research WRF Version 3. NCAR Tech. Note NCAR/TN-468+STR, 113 pp., NCAR Technical Note, https://doi.org/10.5065/D68S4MVH, 2008. a
Smith, B., Prentice, I. C., and Sykes, M. T.: Representation of vegetation
dynamics in the modelling of terrestrial ecosystems: Comparing two
contrasting approaches within European climate space, Global Ecol. Biogeogr., 10, 621–637, https://doi.org/10.1046/j.1466-822X.2001.00256.x, 2001. a, b
Thonicke, K., Venevsky, S., Sitch, S., and Cramer, W.: The role of fire
disturbance for global vegetation dynamics: Coupling fire into a dynamic
global vegetation model, Global Ecol. Biogeogr., 10, 661–677,
https://doi.org/10.1046/j.1466-822X.2001.00175.x, 2001. a, b
Thonicke, K., Spessa, A., Prentice, I. C., Harrison, S. P., Dong, L., and Carmona-Moreno, C.: The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model, Biogeosciences, 7, 1991–2011, https://doi.org/10.5194/bg-7-1991-2010, 2010. a
Trugman, A. T., Fenton, N. J., Bergeron, Y., Xu, X., Welp, L. R., and Medvigy,
D.: Climate, soil organic layer, and nitrogen jointly drive forest
development after fire in the North American boreal zone, J.
Adv. Model. Earth Sy., 8, 1180–1209,
https://doi.org/10.1002/2015MS000576, 2016. a
Walton, T. P., White, R. S., and Wambolt, C. L.: Artemisia reproductive
strategies: a review with empahasis on plains silver sagebrush., General
Technical Report – US Department of Agriculture, Forest Service, 1986. a
Weiss, A. and Norman, J. M.: Partitioning solar radiation into direct and
diffuse, visible and near-infrared components, Agr. Forest
Meteorol., 34, 205–213, https://doi.org/10.1016/0168-1923(85)90020-6, 1985. a
Welch, B. L. and Criddle, C.: Countering misinformation concerning big
sagebrush, USDA Forest Service – Research Paper RMRS-RP, 33 pp.,
https://doi.org/10.2737/rmrs-rp-40, 2003. a
West, N. and Young, J.: Intermountain valleys and lower mountain slopes, in: North American Terrestrial Vegetation, edited by: Barbour, M. G. and Billings, W. D., 2nd Edition, Cambridge University Press, Cambridge, U.K., pp. 255–284, 2000. a
Whisenant, S. G.: Changing fire frequencies on Idaho's Snake River Plains:
ecological and management implications, General Technical Report – US
Department of Agriculture, Forest Service, 4–10,
https://doi.org/10.1016/0006-3207(92)90659-b, 1990.
a
White, J. D., Gutzwiller, K. J., Barrow, W. C., Randall, L. J., and Swint, P.: Modeling mechanisms of vegetation change due to fire in a semi-arid
ecosystem, Ecol. Model., 214, 181–200,
https://doi.org/10.1016/j.ecolmodel.2008.02.032, 2008. a
Wright, H. A. and Klemmedson, J. O.: Effect of Fire on Bunchgrasses of the
Sagebrush-Grass Region in Southern Idaho, Ecology, 46, 680–688,
https://doi.org/10.2307/1935007, 1965. a
Wylie, B. K., Johnson, D. A., Laca, E., Saliendra, N. Z., Gilmanov, T. G.,
Reed, B. C., Tieszen, L. L., and Worstell, B. B.: Calibration of remotely
sensed, coarse resolution NDVI to CO2 fluxes in a
sagebrush-steppe ecosystem, Remote Sens. Environ., 85, 243–255,
https://doi.org/10.1016/S0034-4257(03)00004-X, 2003. a
Zhang, K., de Almeida Castanho, A. D., Galbraith, D. R., Moghim, S., Levine,
N. M., Bras, R. L., Coe, M. T., Costa, M. H., Malhi, Y., Longo, M., Knox,
R. G., Mcknight, S., Wang, J., and Moorcroft, P. R.: The fate of Amazonian
ecosystems over the coming century arising from changes in climate,
atmospheric CO2, and land use, Glob. Change Biol., 21,
2569–2587, https://doi.org/10.1111/gcb.12903, 2015. a
Zou, Y., Wang, Y., Ke, Z., Tian, H., Yang, J., and Liu, Y.: Development of a
REgion-Specific Ecosystem Feedback Fire (RESFire) Model in the Community
Earth System Model, J. Adv. Model. Earth Sy., 11,
417–445, https://doi.org/10.1029/2018MS001368, 2019. a
Short summary
A dynamic global vegetation model, Ecosystem Demography (EDv2.2), is used to understand spatiotemporal dynamics of a semi-arid shrub ecosystem under alternative fire regimes. Multi-decadal point simulations suggest shrub dominance for a non-fire scenario and a contrasting phase of shrub and C3 grass growth for a fire scenario. Regional gross primary productivity (GPP) simulations indicate moderate agreement with MODIS GPP and a GPP reduction in fire-affected areas before showing some recovery.
A dynamic global vegetation model, Ecosystem Demography (EDv2.2), is used to understand...
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