Remotely-sensed detection of effects of extreme droughts on gross primary production.

[en] Severe droughts strongly impact photosynthesis (GPP), and satellite imagery has yet to demonstrate its ability to detect drought effects. Especially changes in vegetation functioning when vegetation state remains unaltered (no browning or defoliation) pose a challenge to satellite-derived indicators. We evaluated the performance of different satellite indicators to detect strong drought effects on GPP in a beech forest in France (Hesse), where vegetation state remained largely unaffected while GPP decreased substantially. We compared the results with three additional sites: a Mediterranean holm oak forest (Puéchabon), a temperate beech forest (Hainich), and a semi-arid grassland (Bugacpuszta). In Hesse, a three-year reduction in GPP following drought was detected only by the Enhanced Vegetation Index (EVI). The Photochemical Reflectance Index (PRI) also detected this drought effect, but only after normalization for absorbed light. In Puéchabon normalized PRI outperformed the other indicators, while the short-term drought effect in Hainich was not detected by any tested indicator. In contrast, most indicators, but not PRI, captured the drought effects in Bugacpuszta. Hence, PRI improved detection of drought effects on GPP in forests and we propose that PRI normalized for absorbed light is considered in future algorithms to estimate GPP from space.

Disciplines :

Earth sciences & physical geography

Author, co-author :

Vicca, Sara

Balzarolo, Manuela

Filella, Iolanda

Granier, André

Herbst, Mathias

Knohl, Alexander

Longdoz, Bernard ; Université de Liège > Ingénierie des biosystèmes (Biose) > Echanges Ecosystèmes - Atmosphère

Mund, Martina

Nagy, Zoltan

Pintér, Krisztina

More authors (6 more)

Language :

English

Title :

Remotely-sensed detection of effects of extreme droughts on gross primary production.

Publication date :

15 June 2016

Journal title :

Scientific Reports

eISSN :

2045-2322

Publisher :

Nature Publishing Group, London, United Kingdom

Volume :

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 18 January 2017

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Bibliography

Frank, D. A. et al. Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts. Global Change Biol. 21, 2861-2880 (2015).
Granier, A. et al. Evidence for soil water control on carbon and water dynamics in European forests during the extremely dry year: 2003. Agr. Forest Meteorol. 143, 123-145 (2007).
Reichstein, M. et al. Climate extremes and the carbon cycle. Nature 500, 287-295 (2013).
van der Molen, M. K. et al. Drought and ecosystem carbon cycling. Agr. Forest Meteorol. 151, 765-773 (2011).
Vicca, S. et al. Can current moisture responses predict soil CO2 efflux under altered precipitation regimes? A synthesis of manipulation experiments. Biogeosci. 11, 2991-3013 (2014).
Dardel, C. et al. Re-greening Sahel: 30 years of remote sensing data and field observations (Mali, Niger). Remote Sens. Environ. 140, 350-364 (2014).
Sangüesa-Barreda, G., Camarero, J. J., Garcia-Martin, A., Hernandez, R. & de la Riva, J. Remote-sensing and tree-ring based characterization of forest defoliation and growth loss due to the Mediterranean pine processionary moth. Forest Ecol. Manag. 320, 171-181 (2014).
Maselli, F., Papale, D., Puletti, N., Chirici, G. & Corona, P. Combining remote sensing and ancillary data to monitor the gross productivity of water-limited forest ecosystems. Remote Sens. Environ. 113, 657-667 (2009).
Anderson, L. O. Biome-Scale Forest Properties in Amazonia Based on Field and Satellite Observations. Remote Sens. 4, 1245-1271 (2012).
Verma, M. et al. Remote sensing of annual terrestrial gross primary productivity from MODIS: an assessment using the FLUXNET La Thuile data set. Biogeosci. 11, 2185-2200 (2014).
Liu, J., Rambal, S. & Mouillot, F. Soil Drought Anomalies in MODIS GPP of a Mediterranean Broadleaved Evergreen Forest. Remote Sens. 7, 1154-1180 (2015).
Zhang, F. et al. Evaluating spatial and temporal patterns of MODIS GPP over the conterminous U.S. against flux measurements and a process model. Remote Sens. Environ. 124, 717-729 (2012).
Tang, X. et al. A comprehensive assessment of MODIS-derived GPP for forest ecosystems using the site-level FLUXNET database. Environ. Earth Sci. 74, 5907-5918 (2015).
Zhao, M., Running, S. W. & Nemani, R. R. Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses. J. Geophys. Res.-Biogeo 111, (2006).
Peñuelas, J., Garbulsky, M. F. & Filella, I. Photochemical reflectance index (PRI) and remote sensing of plant CO2 uptake. New Phytol. 191, 596-599 (2011).
Gamon, J. A., Penuelas, J. & Field, C. B. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic activity. Remote Sens. Environ. 41, 35-44 (1992).
Drolet, G. G. et al. A MODIS-derived photochemical reflectance index to detect inter-annual variations in the photosynthetic lightuse efficiency of a boreal deciduous forest. Remote Sens. Environ. 98, 212-224 (2005).
Rossini, M. et al. Remote sensing-based estimation of gross primary production in a subalpine grassland. Biogeosci. 9, 2565-2584 (2012).
Moreno, A. et al. Assessment of MODIS imagery to track light-use efficiency in a water-limited Mediterranean pine forest. Remote Sens. Environ. 123, 359-367 (2012).
Peguero-Pina, J. J., Morales, F., Flexas, J., Gil-Pelegrin, E. & Moya, I. Photochemistry, remotely sensed physiological reflectance index and de-epoxidation state of the xanthophyll cycle in Quercus coccifera under intense drought. Oecologia 156, 1-11 (2008).
Wong, C. Y. S. & Gamon, J. A. Three causes of variation in the photochemical reflectance index (PRI) in evergreen conifers. New Phytol. 206, 187-195 (2015).
Peñuelas, J., Gamon, J. A., Fredeen, A. L., Merino, J. & Field, C. B. Reflectance indices associated with physiological changes in nitrogen-and water-limited sunflower leaves. Remote Sens. Environ. 48, 135-146 (1994).
Gamon, J. A. & Bond, B. Effects of irradiance and photosynthetic downregulation on the photochemical reflectance index in Douglas-fir and ponderosa pine. Remote Sens. Environ. 135, 141-149 (2013).
Soudani, K. et al. Relationships between photochemical reflectance index and light-use efficiency in deciduous and evergreen broadleaf forests. Remote Sens. Environ. 144, 73-84 (2014).
Ciais, P. et al. Europe-wide reduction in primary productivity caused by the heat and drought in 2003. Nature 437, 529-533 (2005).
Verbesselt, J., Zeileis, A. & Herold, M. Near real-time disturbance detection using satellite image time series. Remote Sens. Environ. 123, 98-108 (2012).
Saatchi, S. et al. Persistent effects of a severe drought on Amazonian forest canopy. P. Natl. A Sci. USA 110, 565-570 (2013).
Running, S. W. et al. A continuous satellite-derived measure of global terrestrial primary production. Biosci. 54, 547-560 (2004).
Granier, A., Breda, N., Longdoz, B., Gross, P. & Ngao, J. Ten years of fluxes and stand growth in a young beech forest at Hesse, Northeastern France. Ann. For. Sci. 65, 704 (2008).
Huete, A. et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens. Environ. 83, 195-213 (2002).
Sims, D. A. & Gamon, J. A. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sens. Environ. 81, 337-354 (2002).
Liu, C. et al. Effect of drought on pigments, osmotic adjustment and antioxidant enzymes in six woody plant species in karst habitats of southwestern China. Environ. Exp. Bot. 71, 174-183 (2011).
Mund, M. et al. The influence of climate and fructification on the inter-annual variability of stem growth and net primary productivity in an old-growth, mixed beech forest. Tree Physiol. 30, 689-704 (2010).
Rambal, S. et al. How drought severity constrains gross primary production(GPP) and its partitioning among carbon pools in a Quercus ilex coppice? Biogeosci. 11, 6855-6869 (2014).
Rambal, S. et al. Drought controls over conductance and assimilation of a Mediterranean evergreen ecosystem: scaling from leaf to canopy. Global Change Biol. 9, 1813-1824 (2003).
Baldocchi, D. D., Xu, L. & Kiang, N. How plant functional-type, weather, seasonal drought, and soil physical properties alter water and energy fluxes of an oak-grass savanna and an annual grassland. Agric. Forest Meteorol. 123, 13-39 (2004).
Sims, D. A., Rahman, A. F., Vermote, E. F. & Jiang, Z. Seasonal and inter-annual variation in view angle effects on MODIS vegetation indices at three forest sites. Remote Sens. Environ. 115, 3112-3120 (2011).
Reichstein, M. et al. Reduction of ecosystem productivity and respiration during the European summer 2003 climate anomaly: a joint flux tower, remote sensing and modelling analysis. Global Change Biol. 13, 634-651 (2007).
Sims, D. A. et al. A new model of gross primary productivity for North American ecosystems based solely on the enhanced vegetation index and land surface temperature from MODIS. Remote Sens. Environ. 112, 1633-1646 (2008).
Vicca, S. et al. Urgent need for a common metric to make precipitation manipulation experiments comparable. New Phytol. 195, 518-522 (2012).
Brown, J. F., Wardlow, B. D., Tadesse, T., Hayes, M. J. & Reed, B. C. The Vegetation Drought Response Index (VegDRI): A new integrated approach for monitoring drought stress in vegetation. Gisci. Remote Sens. 45, 16-46 (2008).
Garbulsky, M. F., Penuelas, J., Papale, D. & Filella, I. Remote estimation of carbon dioxide uptake by a Mediterranean forest. Global Change Biol. 14, 2860-2867 (2008).
Garbulsky, M. F., Penuelas, J., Gamon, J., Inoue, Y. & Filella, I. The photochemical reflectance index (PRI) and the remote sensing of leaf, canopy and ecosystem radiation use efficiencies A review and meta-analysis. Remote Sens. Environ. 115, 281-297 (2011).
Goerner, A. et al. Remote sensing of ecosystem light use efficiency with MODIS-based PRI. Biogeosci. 8, 189-202 (2011).
Balzarolo, M. et al. On the relationship between ecosystem-scale hyperspectral reflectance and CO2 exchange in European mountain grasslands. Biogeosci. 12, 3089-3108 (2015).
Breda, N., Huc, R., Granier, A. & Dreyer, E. Temperate forest trees and stands under severe drought: a review of ecophysiological responses, adaptation processes and long-term consequences. Ann. For. Sci. 63, 625-644 (2006).
Vicente-Serrano, S. M., Begueria, S. & Lopez-Moreno, J. I. A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. J. Clim. 23, 1696-1718 (2010).
Allen, R. G., Pereiro, L. S., Raes, D. & Smith, M. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements. (Food and Agriculture Organization of the United Nations, Rome, Italy, 1998).
Granier, A., Breda, N., Biron, P. & Villette, S. A lumped water balance model to evaluate duration and intensity of drought constraints in forest stands. Ecological Modelling 116, 269-283 (1999).
Niemeyer, S. New drought indices. Options Méditerranéennes. Série A: Séminaires Méditerranéens 80, 267-274 (2008).
Papale, D. et al. Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation. Biogeosci. 3, 571-583 (2006).
Reichstein, M. et al. On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Global Change Biol. 11, 1424-1439 (2005).
Myneni, R. B. et al. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sens. Environ. 83, 214-231 (2002).
Peñuelas, J., Filella, I. & Gamon, J. A. Assessment of photosynthetic radiation-use efficiency with spectral reflectance. New Phytol. 131, 291-296 (1995).
Guarini, R. et al. The utility of MODIS-sPRI for investigating the photosynthetic light-use efficiency in a Mediterranean deciduous forest. Int. J. Remote Sens. 35, 6157-6172 (2014).
Rahman, A. F., Cordova, V. D., Gamon, J. A., Schmid, H. P. & Sims, D. A. Potential of MODIS ocean bands for estimating CO2 flux from terrestrial vegetation: A novel approach. Geophys. Res. Lett. 31 (2004).
Goerner, A., Reichstein, M. & Rambal, S. Tracking seasonal drought effects on ecosystem light use efficiency with satellite-based PRI in a Mediterranean forest. Remote Sens. Environ. 113, 1101-1111 (2009).
Zeileis, A., Leisch, F., Hornik, K. & Kleiber, C. strucchange: An R package for testing for structural change in linear regression models. J. Stat.l Softw. 7, 1-38 (2002).
Bai, J. & Perron, P. Computation and analysis of multiple structural change models. J. Appl. Econometrics 18, 1-22 (2003).
Zeileis, A., Kleiber, C., Kramer, W. & Hornik, K. Testing and dating of structural changes in practice. Comp. Stat. Data Anal. 44, 109-123 (2003).