Observed water and light limitation across global ecosystems

Jonard, François; Feldman, Andrew F.; Short Gianotti, Daniel J.; Entekhabi, Dara

doi:10.5194/bg-19-5575-2022

Download

Article (Scientific journals)

Observed water and light limitation across global ecosystems

Jonard, François; Feldman, Andrew F.; Short Gianotti, Daniel J. et al.

2022 • In Biogeosciences, 19 (23), p. 5575-5590

Peer Reviewed verified by ORBi

Permalink
https://hdl.handle.net/2268/297277

DOI
10.5194/bg-19-5575-2022

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

JONARD BG 2022.pdf

Author postprint (1.57 MB)

Download

All documents in ORBi are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

Earth-Surface Processes; Ecology, Evolution, Behavior and Systematics

Abstract :

[en] Abstract. With a changing climate, it is becoming increasingly critical to understand vegetation responses to limiting environmental factors. Here, we investigate the spatial and temporal patterns of light and water limitation on photosynthesis using an observational framework. Our study is unique in characterizing the nonlinear relationships between photosynthesis and water and light, acknowledging approximately two regime behaviours (no limitation and varying degrees of limitation). It is also unique in using an observational framework instead of using model-derived photosynthesis properties. We combine data from three different satellite sensors, i.e., sun-induced chlorophyll fluorescence (SIF) from the TROPOspheric Monitoring Instrument (TROPOMI), surface soil moisture from the Soil Moisture Active Passive (SMAP) microwave radiometer, and vegetation greenness from the Moderate Resolution Imaging Spectroradiometer (MODIS). We find both single-regime and two-regime models describe SIF sensitivity to soil moisture and photosynthetically active radiation (PAR) across the globe. The distribution and strength of soil moisture limitation on SIF are mapped in the water-limited environments, while the distribution and strength of PAR limitations are mapped in the energy-limited environments. A two-regime behaviour is detected in 73 % of the cases for water limitation on photosynthesis, while two-regime detection is much lower at 41 % for light limitation on photosynthesis. SIF sensitivity to PAR strongly increases along moisture gradients, reflecting mesic vegetation's adaptation to making rapid usage of incoming light availability on the weekly timescales. The transition point detected between the two regimes is connected to soil type and mean annual precipitation for the SIF–soil moisture relationship and for the SIF–PAR relationship. These thresholds therefore have an explicit relation to properties of the landscape, although they may also be related to finer details of the vegetation and soil interactions not resolved by the spatial scales here. The simple functions and thresholds are emergent behaviours capturing the interaction of many processes. The observational thresholds and strength of coupling can be used as benchmark information for Earth system models, especially those that characterize gross primary production mechanisms and vegetation dynamics.

Disciplines :

Agriculture & agronomy
Environmental sciences & ecology
Phytobiology (plant sciences, forestry, mycology...)
Earth sciences & physical geography

Author, co-author :

Jonard, François ; Université de Liège - ULiège > Département de géographie

Feldman, Andrew F.

Short Gianotti, Daniel J.

Entekhabi, Dara

Language :

English

Title :

Observed water and light limitation across global ecosystems

Publication date :

09 December 2022

Journal title :

Biogeosciences

ISSN :

1726-4170

eISSN :

1726-4189

Publisher :

Copernicus GmbH

Volume :

Issue :

Pages :

5575-5590

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://bg.copernicus.org/articles/19/5575/2022/bg-19-5575-2022.pdf

Available on ORBi :

since 12 December 2022

Statistics

Number of views

29 (9 by ULiège)

Number of downloads

19 (6 by ULiège)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenCitations

Bibliography

Ahlström, A., Raupach, M. R., Schurgers, G., Smith, B., Arneth, A., Jung, M., Reichstein, M., Canadell, J. G., Friedlingstein, P., Jain, A. K., Kato, E., Poulter, B., Sitch, S., Stocker, B. D., Viovy, N., Wang, Y. P., Wiltshire, A., Zaehle, S., and Zeng, N.: The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink, Science, 348, 895-899, 2015.
Akbar, R., Short Gianotti, D. J., McColl, K. A., Haghighi, E., Salvucci, G. D., and Entekhabi, D.: Estimation of landscape soil water losses from satellite observations of soil moisture, J. Hydrometeorol., 19, 871-889, 2018a.
Akbar, R., Short Gianotti, D. S., McColl, K. A., Haghighi, E., Salvucci, G. D., and Entekhabi D.: Hydrological storage length scales represented by remote sensing estimates of soil moisture and precipitation, Water Resour. Res., 54, 1476-1492, 2018b.
Alemohammad, S. H., Fang, B., Konings, A. G., Aires, F., Green, J. K., Kolassa, J., Miralles, D., Prigent, C., and Gentine, P.: Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence, Biogeosciences, 14, 4101-4124, https://doi.org/10.5194/bg-14-4101-2017, 2017.
Bassiouni, M., Good, S. P., Still, C. J., and Higgins, C. W.: Plant Water Uptake Thresholds Inferred from Satellite Soil Moisture, Geophys. Res. Lett., 47, e2020GL087077, https://doi.org/10.1029/2020GL087077, 2020.
Beck, H., Zimmermann, N., McVicar, T. R., Vergopolan, N., Berg, A., and Wood, E. F.: Present and future Köppen-Geiger climate classification maps at 1-km resolution, Sci. Data, 5, 180214, https://doi.org/10.1038/sdata.2018.214, 2018.
Beer, C., Reichstein, M., Tomelleri, E., Ciais, P., Jung, M., Carvalhais, N., Rödenbeck, C., Arain, M.A., Baldocchi, D., Bonan, G. B., Bondeau, A., Cescatti, A., Lasslop, G., Lindroth, A., Lomas, M., Luyssaert, S., Margolis, H., Oleson K. W., Roupsard, O., Veenendaal, E., Viovy, N., Williams, C., Woodward, F. I., and Papale, D.: Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate, Science, 329, 834-838, 2010.
Buermann,W., Forkel, M., O'Sullivan, M., Sitch, S., Friedlingstein, P., Haverd, V., Jain, A. K., Kato, E., Kautz, M., Lienert, S., Lombardozzi, D., Nabel, J. E. M. S., Tian, H., Wiltshire, A. J., Zhu, D., Smith, W. K., and Richardson, A. D.: Widespread seasonal compensation effects of spring warming on northern plant productivity, Nature, 562, 110-114, 2018.
Bush, E. R., Bunnefeld, N., Dimoto, E., Dikangadissi, J.-T., Jeffery, K., Tutin, C., White, L., and Abernethy, K. A.: Towards effective monitoring of tropical phenology: maximizing returns and reducing uncertainty in long-term studies, Biotropica, 50, 455-464, 2018.
De Cannière, S., Herbst, M., Vereecken, H, Defourny, P., and Jonard, F.: Constraining water limitation in photosynthesis in a crop growth model with sun-induced chlorophyll fluorescence, Remote Sens. Environ., 267, 112722, https://doi.org/10.1016/j.rse.2021.112722, 2021.
De Cannière, S., Vereecken, H., Defourny, P., and Jonard, F.: Remote sensing of instantaneous drought stress at canopy level using sun-induced chlorophyll fluorescence and canopy reflectance, Remote Sens., 14, 2642, 2022. blackboxPlease add DOI. Dechant, B., Ryu, Y., Badgley, G., Köhler, P., Rascher, U., Migliavacca, M., Zhang, Y., Tagliabue, G., Guan, K., Rossini, M., Goulas, Y., Zeng, Y., Frankenberg, C., and Berry, J. A.: NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales, Remote Sens. Environ., 268, 112763, https://doi.org/10.1016/j.rse.2021.112763, 2022.
Denissen, J. M. C., Teuling, A. J., Reichstein, M., and Orth, R.: Critical soil moisture derived from satellite observations over Europe, J. Geophys. Res.-Atmos., 125, e2019JD031672, https://doi.org/10.1029/2019JD031672, 2020.
Didan, K.: MOD13C1 MODIS/Terra Vegetation Indices 16-Day L3 Global 0.05 Deg CMG V006, NASA EOSDIS Land Processes DAAC [data set], https://doi.org/10.5067/MODIS/MOD13C1.
006, 2015.
Entekhabi, D., Njoku, E. G., O'Neill, P. E., Kellogg, K. H., Crow, W. T., Edelstein,W. N., Entin, J. K., Goodman, S. D., Jackson, T. J., Johnson, J., Kimball, J., Piepmeier, J. R., Koster, R. D., Martin, N., McDonald, K. C., Moghaddam, M., Moran, S., Reichle, R., Shi, J. C., Spencer, M. W., Thurman, S. W., Tsang, L., and Van Zyl, J.: The Soil Moisture Active Passive (SMAP) mission, in Proceedings of the IEEE, May 2010, 98, 704-716, 2010.
Feldman, A. F., Short Gianotti, D. J., Konings, A. G., McColl, K. A., Akbar, R., Salvucci, G. D., and Entekhabi, D.: Moisture pulsereserve in the soil-plant continuum observed across biomes, Nature Plants, 4, 1026-1033, 2018. Feldman, A. F., Short Gianotti, D. J., Trigo, I. F., Salvucci, G. D., and Entekhabi, D.: Satellite-Based Assessment of Land Surface Energy Partitioning-Soil Moisture Relationships and Effects of Confounding Variables, Water Resour. Research, 55, 10657-10677, 2019.
Feldman, A. F., Konings, A. G., Piles, M., and Entekhabi, D.: The Multi-Temporal Dual Channel Algorithm (MT-DCA) (Version 4), Zenodo [data set], https://doi.org/10.5281/zenodo.5579549, 2021.
Feldman, A. F., Short Gianotti, D. J., Dong, J., Akbar, R., Crow, W. T., McColl, K. A., Nippert, J. B., Tumber-Dávila, S. J., Holbrook, N. M., Rockwell, F. E., Scott, R. L., Reichle, R. H., Chatterjee, A., Joiner, J., Poulter, B., and Entekhabi, D.: Satellites capture soil moisture dynamics deeper than a few centimeters and are relevant to plant water uptake, Earth Sp. Sci. Open Arch., https://doi.org/10.1002/essoar.10511280.1, 2022.
Fisher, R. A., Koven, C. D., Anderegg, W. R. L., 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. Chang. Biol., 24, 35-54, 2018.
Flanagan, L. B., Ehleringer, J. R., and Marshall, J. D.: Differential uptake of summer precipitation among co-occurring trees and shrubs in a pinyon-juniper woodland, Plant Cell Environ., 15, 831-836, 1992.
Gentine, P., Green, J. K., Guérin, M., Humphrey, V., Seneviratne, S. I., Zhang, Y., and Zhou, S.: Coupling between the terrestrial carbon and water cycles-a review, Environ. Res. Lett., 14, 083003, https://doi.org/10.1088/1748-9326/ab22d6, 2019.
Global Modeling and Assimilation Office (GMAO): MERRA-2 tavg1-e2d-lfo-Nx: 2d, 1-Hourly,Time-Averaged, Single-Level, Assimilation, Land Surface Forcings V5.12.4, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC) [data set], https://doi.org/10.5067/L0T5GEG1NYFA, 2015.
Gonsamo, A., Chen, J. M., He, L., Sun, Y., Rogers, C., and Liu, J.: Exploring SMAP and OCO-2 observations to monitor soil moisture control on photosynthetic activity of global drylands and croplands, Remote Sens. Environ., 232, 111314, https://doi.org/10.1016/j.rse.2019.111314, 2019.
Green, J., Konings, A., Alemohammad, S., Berry, J., Entekhabi, D., Kolassa, J., Lee, J.-E., and Gentine, P.: Regionally strong feedbacks between the atmosphere and terrestrial biosphere, Nat. Geosci., 10, 410-414, 2017.
He, L., Magney, T., Dutta, D., Yin, Y., Köhler, P., Grossmann, K., Stutz, J., Dold, C., Hatfield, J., Guan, K., Peng, B., Frankenberg, C.: From the ground to space: Using solar-induced chlorophyll fluorescence to estimate crop productivity, Geophys. Res. Lett., 47, e2020GL087474, https://doi.org/10.1029/2020GL087474, 2020.
Hengl, T., Mendes de Jesus, J., Heuvelink, G. B. M., Ruiperez Gonzalez, M., Kilibarda, M., Blagotíc, A., Shangguan, W., Wright, M. N., Geng, X., Bauer-Marschallinger, B., Guevara, M. A., Vargas, R., MacMillan, R. A., Batjes, N. H., Leenaars, J. G. B., Ribeiro, E., Wheeler, I., Mantel, S., and Kempen, B.: SoilGrids250m: Global gridded soil information based on machine learning, PLoS ONE, 12, e0169748, https://doi.org/10.1371/journal.pone.0169748, 2017.
Huang, K., Xia, J., Wang, Y., Ahlström, A., Chen, J., Cook, R. B., Cui, E., Fang, Y., Fisher, J. B., Huntzinger, N. D., Li, Z., Michalak, A. N., Qiao, Y., Schaefer, K., Schwalm, C., Wang, J., Wei, Y., Xu, X., Yan, L., Bian, C., and Luo, Y.: Enhanced peak growth of global vegetation and its key mechanisms, Nat. Ecol. Evol., 2, 1897-1905, 2018.
Huffman, G., Stocker, E. F., Bolvin, D. T., Nelkin, E. J., and Tan, J.: GPM IMERG Final Precipitation L3 Half Hourly 0:1-0:1-V06, Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center (GES DISC) [data set], https://disc.gsfc. nasa.gov/datasets/GPM-3IMERGHH-06/summary (last access: 20 November 2022), 2019.
Jarvis, P. G.: Interpretation of variations in leaf water potential and stomatal conductance found in canopies in field, Philos. T. Roy. Soc. A, 273, 593-610, 1976.
Jasechko, S., Sharp, Z. D., Gibson, J. J., Birks, S. J., Yi, Y., and Fawcett, P. J.: Terrestrial water fluxes dominated by transpiration, Nature 496, 347-350, 2013.
Joiner, J., Guanter, L., Lindstrot, R., Voigt, M., Vasilkov, A. P., Middleton, E. M., Huemmrich, K. F., Yoshida, Y., and Frankenberg, C.: Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2, Atmos. Meas. Tech., 6, 2803-2823, https://doi.org/10.5194/amt-6-2803-2013, 2013.
Joiner, J., Yoshida, Y., Vasilkov, A., Schaefer, K., Jung, M., Guanter, L., Zhang, Y., Garrity, S., Middleton, E.M., Huemmrich, K. F., Gu, L., and Marchesini, L. B. : The seasonal cycle of satellite chlorophyll fluorescence observations and its relationship to vegetation phenology and ecosystem atmosphere carbon exchange, Remote Sens. Environ., 152, 375-391, 2014.
Jonard, F., De Cannière, S., Brüggemann, N., Gentine, P., Short Gianotti, D. J., Lobet, G., Miralles, D. J., Montzka, C., Pagán, B. R., Rascher, U., and Vereecken, H.: Value of chlorophyll fluorescence for quantifying hydrological states and fluxes: Current status and challenges, Agr. Forest Meteorol., 291, 108088, https://doi.org/10.1016/j.agrformet.2020.108088, 2020.
Jones, H. G.: Plants and Microclimate: A quantitative approach to environmental plant physiology, 3rd ed., Cambridge University Press, Cambridge, UK, ISBN 9780511845727, https://doi.org/10.1017/CBO9780511845727, 2014.
Kerr, Y., Waldteufel, P., Wigneron, J.-P., Delwart, S., Cabot, F., Boutin, J., Escorihuela, M. J., Font, J., Reul, N., Gruhier, C., Juglea, S. E., Drinkwater, M. R., Achim Hreul, N., Boutin, J., Gruhier, C., Juglea, S. E., Hahne, A., Neira, M. M., and Mecklenburg, S.: The SMOS mission: New tool for monitoring key elements of the global water cycle, in Proceedings of the IEEE, May 2010, 98, 666-687, 2010.
Köhler, P. and Frankenberg, K.: Ungridded TROPOMI SIF (at 740 nm) (1.0), CaltechDATA [data set], https://data.caltech.edu/records/8hm1f-w5492 (last access: 20 November 2022), 2020.
Köhler, P., Frankenberg, C., Magney, T. S., Guanter, L., Joiner, J., and Landgraf J.: Global retrievals of solar-induced chlorophyll fluorescence with TROPOMI: first results and intersensor comparison to OCO-2, Geophys. Res. Lett., 45, 10456-10463, 2018.
Konings, A. G., Piles, M., Rötzer, K., McColl, K. A., Chan, S. K., and Entekhabi, D.: Vegetation optical depth and scattering albedo retrieval using time series of dual-polarized L-band radiometer observations, Remote Sens. Environ., 172, 178-189, 2016.
Li, W., Migliavacca, M., Forkel, M., Walther, S., Reichstein, M., and Orth R.: Revisiting global vegetation controls using multilayer soil moisture, Geophys. Res. Lett., 48, e2021GL092856, https://doi.org/10.1029/2021GL092856, 2021.
Liang, X.-Z., Wu, Y., Chambers, R. G., Schmoldt, D. L., Gao, W., Liu, C., Liu, Y.-A., Sun, C., and Kennedy, J. A.: Determining climate effects on US total agricultural productivity, P. Natl. Acad. Sci. USA, 114, 2285-2292, 2017.
Linscheid, N., Estupinan-Suarez, L. M., Brenning, A., Carvalhais, N., Cremer, F., Gans, F., Rammig, A., Reichstein, M., Sierra, C. A., and Mahecha, M. D.: Towards a global understanding of vegetation-climate dynamics at multiple timescales, Biogeosciences, 17, 945-962, https://doi.org/10.5194/bg-17-945-2020, 2020.
Liu, L., Gudmundsson, L., Hauser, M., Qin, D., Li, S., and Seneviratne, S. I. Soil moisture dominates dryness stress on ecosystem production globally, Nat. Commun., 11, 4892, https://doi.org/10.1038/s41467-020-18631-1, 2020.
Lu, X. L., Liu, Z. Q., An, S. Q., Miralles, D. G., Maes, W. H., Liu, Y. L., and Tang, J. W.: Potential of solarinduced chlorophyll fluorescence to estimate transpiration in a temperate forest, Agr. Forest Meteorol., 252, 75, https://doi.org/10.1016/j.agrformet.2018.01.017, 2018.
Madani, N., Kimball, J. S., Jones, L. A., Parazoo, N. C., and Guan, K.: Global Analysis of Bioclimatic Controls on Ecosystem Productivity Using Satellite Observations of Solar-Induced Chlorophyll Fluorescence, Remote Sens., 9, 530, https://doi.org/10.3390/rs9060530, 2017.
Maes, W. H., Pagán, B. R., Martens, B., Gentine, P., Guanter, L., Steppe, K., Verhoest, N. E. C., Dorigo, W., Li, X., Xiao, J., and Miralles, D. G.: Sun-induced fluorescence closely linked to ecosystem transpiration as evidenced by satellite data and radiative transfer models, Remote Sens. Environ., 249, 112030, https://doi.org/10.1016/j.rse.2020.112030, 2020.
Maurer, G. E., Hallmark, A. J., Brown, R. F., Sala, O. E., and Collins, S. L.: Sensitivity of primary production to precipitation across the United States, Ecol. Lett., 23, 527-536, 2020.
McCarty, W., Coy, L., Gelaro, R., Huang, A., Merkova, D., Smith, E. B., Sienkiewicz, M., and Wargan, K.: MERRA-2 input observations: Summary and initial assessment. Technical Report Series on Global Modeling and Data Assimilation, 46, NASA Tech. Rep., NASA/TM-2016-104606, 61 pp., 2016.
Meinzer, F. C., Luis, J., Goldstein, G., Holbrook, N. M., Cavelier, J., and Wright, S. J.: Partitioning of soil water among canopy trees in a seasonally dry tropical forest, Oecologia, 293-301, 1999.
Miguez-Macho, G. and Fan, Y.: Spatiotemporal origin of soil water taken up by vegetation, Nature, 598, 624-628, 2021.
Monteith, J. L.: Solar Radiation and Productivity in Tropical Ecosystems, J. Appl. Ecol., 9, 747-766, 1972.
Morellato, L. P. C., Abernethy, K., and Mendoza, I.: Rethinking tropical phenology: insights from long-term monitoring and novel analytical methods, Biotropica, 50, 371-373, 2018.
Moreno-de las Heras, M., Díaz-Sierra, R., Turnbull, L., and Wainwright, J.: Assessing vegetation structure and ANPP dynamics in a grassland-shrubland Chihuahuan ecotone using NDVI-rainfall relationships, Biogeosciences, 12, 2907-2925, https://doi.org/10.5194/bg-12-2907-2015, 2015.
Moulin, S., Kergoat, L., Viovy, N., and Dedieu, G.: Global-Scale Assessment of Vegetation Phenology Using NOAA/AVHRR Satellite Measurements, J. Climate, 10, 1154-1170, 1997.
Nemani, R. R., Keeling, C. D., Hashimoto, H., Jolly, W. M., Piper, S. C., Tucker, C. J., Myneni, R. B., and Running, S.W.: Climatedriven increases in global terrestrial net primary production from 1982 to 1999, Science, 300, 1560-1563, 2003.
Njoku, E. G. and Entekhabi, D.: Passive microwave remote sensing of soil moisture, J. Hydrol., 184, 101-129, 1996.
O'Neill, P. E., Chan, S., Njoku, E. G., Jackson, T., Bindlish, R., and Chaubell, J.: SMAP Enhanced L2 Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture, Version 4 [data set], https://nsidc. org/data/spl2smp-e/versions/4 (last access: 20 November 2022), 2020.
Pagan, B. R., Maes, W. H., Gentine, P., Martens, B., and Miralles D. G.: Exploring the Potential of Satellite Solar-Induced Fluorescence to Constrain Global Transpiration Estimates, Remote Sens., 11, 413, https://doi.org/10.3390/rs11040413, 2019.
Peano, D., Materia, S., Collalti, A., Alessandri, A., Anav, A., Bombelli, A., and Gualdi, S.: Global variability of simulated and observed vegetation growing season, J. Geophys. Res.-Biogeo., 124, 3569-3587, 2019.
Qiu, B., Ge, J., Guo, W., Pitman, A. J., and Mu, M.: Responses of Australian dryland vegetation to the 2019 heatwave at a subdaily scale, Geophys. Res. Lett., 47, e2019GL086569, https://doi.org/10.1029/2019GL086569, 2020.
Schwingshackl, C., Hirschi, M., and Seneviratne, S. I.: Quantifying spatiotemporal variations of soil moisture control on surface energy balance and near-surface air temperature, J. Climate, 30, 7105-7124, https://doi.org/10.1175/JCLI-D-16-0727.1, 2017 Seneviratne, S. I., Corti, T., Davin, E. L., Hirschi, M., Jaeger, E. B., Lehner, I., Orlowsky, B., and Teuling, A. J.: Investigating soil moisture-climate interactions in a changing climate: A review, Earth-Sci. Rev., 99, 125-161, 2010. Shan, N., Ju, W. M., Migliavacca, M., Martini, D., Guanter, L., Chen, J. M., Goulas, Y., and Zhang, Y. G.: Modeling canopy conductance and transpiration from solar-induced chlorophyll fluorescence, Agr. Forest Meteorol., 268, 189-201, 2019.
Short Gianotti, D. J., Rigden, A. J., Salvucci, G. D., and Entekhabi, D.: Satellite and Station Observations Demonstrate Water Availability's Effect on Continental-Scale Evaporative and Photosynthetic Land Surface Dynamics,Water Resour. Res., 55, 540-554, 2019a.
Short Gianotti, D. J., Salvucci, G. D., Akbar, R., McColl, K. A., Cuenca, R., and Entekhabi, D.: Landscape water storage and subsurface correlation from satellite surface soil moisture and precipitation observations, Water Resour. Res., 55, 9111-9132, 2019b.
Teubner, I. E., Forkel, M., Jung, M., Liu, Y. Y., Miralles, D. G., Parinussa, R., van der Schalie, R., Vreugdenhil, M., Schwalm, C. R., Tramontana, G., Camps-Valls, G., and Dorigo, W. A.: Assessing the relationship between microwave vegetation optical depth and gross primary production, Int. J. Appl. Earth Obs. Geoinf., 65, 79-91, 2018.
Walker, A. P., De Kauwe, M. G., Bastos, A., Belmecheri, S., Georgiou, K., Keeling, R. F., McMahon, S. M., Medlyn, B. E., Moore, D. J. P., Norby, R. J., Zaehle, S., Anderson-Teixeira, K. J., Battipaglia, G., Brienen, R. J. W., Cabugao, K. G., Cailleret, M., Campbell, E., Canadell, J. G., Ciais, P., Craig, M. E., Ellsworth, D. S., Farquhar, G. D., Fatichi, S., Fisher, J. B., Frank, D. C., Graven, H., Gu, L., Haverd, V., Heilman, K., Heimann, M., Hungate, B. A., Iversen, C. M., Joos, F., Jiang, M., Keenan, T. F., Knauer, J., Körner, C., Leshyk, V. O., Leuzinger, S., Liu, Y., MacBean, N., Malhi, Y., McVicar, T. R., Penuelas, J., Pongratz, J., Powell, A. S., Riutta, T., Sabot, M. E. B., Schleucher, J., Sitch, S., Smith, W. K., Sulman, B., Taylor, B., Terrer, C., Torn, M. S., Treseder, K. K., Trugman, A. T., Trumbore, S. E., van Mantgem, P. J., Voelker, S. L., Whelan, M. E., and Zuidema, P. A.: Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO2, New Phytol., 229, 2413-2445, 2020.
Wang, X., Dannenberg, M. P., Yan, D., Jones, M. O., Kimball, J. S., Moore, D. J. P., van Leeuwen, W. J. D., Didan, K., and Smith, W. K.: Globally consistent patterns of asynchrony in vegetation phenology derived from optical, microwave, and fluorescence satellite data, J. Geophys. Res.-Biogeo., 125, e2020JG005732, https://doi.org/10.1029/2020JG005732, 2020.
Wang, Y., Zheng, W., Zheng, W., Zhu, J., Liu, Z., Qin, J., and Li, H.: Physiological and transcriptomic analyses of a yellow-green mutant with high photosynthetic efficiency in wheat (Triticum aestivum L.), Funct. Integr. Genomics, 18, 175-194, 2018.
Xu, S., Atherton, J., Riikonen, A., Zhang, C., Oivukkamäki, J., MacArthur, A., Honkavaara, E., Hakala, T., Koivumäki, N., Liu, Z., and Porcar-Castella, A.: Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop, Remote Sens. Environ., 263, 112555, https://doi.org/10.1016/j.rse.2021.112555, 2021.
Zhang, X., Friedl, M. A., and Schaaf, C. B.: Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements, J. Geophys. Res., 111, G04017, https://doi.org/10.1029/2006JG000217, 2006.
Zhang, Y., Guanter, L., Berry, J. A., van der Tol, C., Yang, X., Tang, J., and Zhang, F.: Model-based analysis of the relationship between sun-induced chlorophyll fluorescence and gross primary production for remote sensing applications, Remote Sens. Environ., 187, 145-155, 2016.
Zhang, Y., Commane, R., Zhou, S.,Williams, A. P., and Gentine, P.: Light limitation regulates the response of autumn terrestrial carbon uptake to warming, Nat. Clim. Chang., 10, 739-743, 2020a.
Zhang, Y., Parazoo, N. C.,Williams, A. P., Zhou, S., and Gentine, P.: Large and projected strengthening moisture limitation on end-ofseason photosynthesis, P. Natl. Acad. Sci. USA, 117, 9216-9222, 2020b.