Cited by 294Climate variability and modelsHydrology and Drought AnalysisClimate Change and Environmental Impact

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Dryland changes under different levels of global warming

Koutroulis, Aristeidis G.·2019·Science of The Total Environment

DOI 10.1016/j.scitotenv.2018.11.215

Open this paper in CoChat — free account

Abstract

Drylands are vital ecosystems which cover almost 47% of the Earth's surface, hosting 39% of the global population. Dryland areas are highly sensitive to climatic changes and substantial impacts are foreseen under a warming climate. Many studies have examined the evolution of drylands in the future highlighting the need for improved capability of climate models to simulate aridity. The present study takes advantage of new higher resolution climate projections by the HadGEM3A Atmosphere Global Climate Model using prescribed time varying SSTs and sea ice, provided by a range of CMIP5 climate models under RCP8.5. The aim of the higher resolution models is to examine the benefit of the improved representation of atmospheric processes in the dryland research and to see where these results lie in the range of results from previous studies using the original CMIP5 ensemble. The transient response of aridity from the recent past until the end of the 21st century was examined as well as the expansion of global drylands under specific levels of global warming (1.5 °C, 2 °C and 4 °C). Dryland changes were further assessed at the watershed level for a number of major global river basins to discuss implications on hydrological changes and land degradation. The areal coverage of drylands could increase by an additional 7% of the global land surface by 2100 under high end climate change. At a 4 °C warmer world above pre-industrial, 11.2% of global land area is projected to shift towards drie…

Integrity signals

Registry

Crossref · 10.1016/j.scitotenv.2018.11.215

Cites

0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Drought under global warming: a review
Dai, A. (2011) · WIREs Climate Change · doi:10.1002/wcc.81 · Cited by 3,523
Global warming and changes in drought
Trenberth, K. E., Dai, A., van der Schrier, G., Jones, P. D., Barichivich, J., Briffa, K. R., & Sheffield, J. (2014) · Nature Climate Change · doi:10.1038/nclimate2067 · Cited by 3,382
Little change in global drought over the past 60 years
Sheffield, J., Wood, E. F., & Roderick, M. L. (2012) · Nature · doi:10.1038/nature11575 · Cited by 1,978
A trend-preserving bias correction – the ISI-MIP approach
Hempel, S., Frieler, K., Warszawski, L., Schewe, J., & Piontek, F. (2013) · Earth System Dynamics · doi:10.5194/esd-4-219-2013 · Cited by 1,238
Spatially explicit global population scenarios consistent with the Shared Socioeconomic Pathways
Jones, B., & O’Neill, B. C. (2016) · Environmental Research Letters · doi:10.1088/1748-9326/11/8/084003 · Cited by 817

Show all 0 references

Research works printed but not linked: 55

Alfieri, 2017, Global projections of river flood risk in a warmer world, Earth's Future, 5, 171, 10.1002/2016EF000485 · DOI
Asadi Zarch, 2017, Future aridity under conditions of global climate change, J. Hydrol., 554, 451, 10.1016/j.jhydrol.2017.08.043 · DOI
Berg, 2016, Land–atmosphere feedbacks amplify aridity increase over land under global warming, Nat. Clim. Chang., 6, 869, 10.1038/nclimate3029 · DOI
Best, 2011, The joint UK land environment simulator (JULES), model description — part 1: energy and water fluxes, Geosci. Model Dev., 4, 677, 10.5194/gmd-4-677-2011 · DOI
Betts, 2015, Climate and land use change impacts on global terrestrial ecosystems and river flows in the HadGEM2-ES Earth system model using the representative concentration pathways, Biogeosci. Discuss., 10, 6171
Betts, 2018, Changes in climate extremes, fresh water availability and vulnerability to food insecurity projected at 1.5 °C and 2 °C global warming with a higher-resolution global climate model, Philos. Trans. R. Soc. A Math. Phys. Eng. Sci., 376
Borrelli, 2017, An assessment of the global impact of 21st century land use change on soil erosion, Nat. Commun., 8, 2013, 10.1038/s41467-017-02142-7 · DOI
Chang, 2017, Benchmarking carbon fluxes of the ISIMIP2a biome models, Environ. Res. Lett., 12, 10.1088/1748-9326/aa63fa · DOI
Daliakopoulos, 2016, The threat of soil salinity: a European scale review, Sci. Total Environ., 573, 10.1016/j.scitotenv.2016.08.177 · DOI · Paper page
Daliakopoulos, 2017, Yield response of Mediterranean rangelands under a changing climate, Land Degrad. Dev., 28, 1962, 10.1002/ldr.2717 · DOI
Davie, 2013, Comparing projections of future changes in runoff from hydrological and biome models in ISI-MIP, Earth Syst. Dyn., 4, 359, 10.5194/esd-4-359-2013 · DOI
Deser, 2017, The role of the North Atlantic Oscillation in European climate projections, Clim. Dyn., 49, 3141, 10.1007/s00382-016-3502-z · DOI
Dottori, 2018, Increased human and economic losses from river flooding with anthropogenic warming, Nat. Clim. Chang., 8, 781, 10.1038/s41558-018-0257-z · DOI
Durán, 2018, Temperature and aridity regulate spatial variability of soil multifunctionality in drylands across the globe, Ecology, 99, 1184, 10.1002/ecy.2199 · DOI
Feng, 2013, Expansion of global drylands under a warming climate, Atmos. Chem. Phys., 13, 10081, 10.5194/acp-13-10081-2013 · DOI
Greve, 2015, Assessment of future changes in water availability and aridity, Geophys. Res. Lett., 42, 5493, 10.1002/2015GL064127 · DOI
Greve, 2014, Global assessment of trends in wetting and drying over land, Nat. Geosci., 7, 716, 10.1038/ngeo2247 · DOI
Greve, 2017, Simulated changes in aridity from the last glacial maximum to 4xCO2, Environ. Res. Lett., 12, 10.1088/1748-9326/aa89a3 · DOI
Grillakis, 2013, Multisegment statistical bias correction of daily GCM precipitation output, J. Geophys. Res. Atmos., 118, 10.1002/jgrd.50323 · DOI
Grillakis, 2016, Climate-induced shifts in global soil temperature regimes, Soil Sci., 181, 264, 10.1097/SS.0000000000000156 · DOI
Grillakis, 2017, A method to preserve trends in quantile mapping bias correction of climate modeled temperature, Earth Syst. Dyn., 8, 889, 10.5194/esd-8-889-2017 · DOI
Gudmundsson, 2016, The sensitivity of water availability to changes in the aridity index and other factors—a probabilistic analysis in the Budyko space, Geophys. Res. Lett., 43, 6985, 10.1002/2016GL069763 · DOI
Hawkins, 2011, The potential to narrow uncertainty in projections of regional precipitation change, Clim. Dyn., 37, 407, 10.1007/s00382-010-0810-6 · DOI
Hewitt, 2011, Design and implementation of the infrastructure of HadGEM3: the next-generation Met Office climate modelling system, Geosci. Model Dev., 4, 223, 10.5194/gmd-4-223-2011 · DOI
Huang, 2016, Accelerated dryland expansion under climate change, Nat. Clim. Chang., 6, 166, 10.1038/nclimate2837 · DOI
Huang, 2017, Dryland climate change: recent progress and challenges, Rev. Geophys., 55, 719, 10.1002/2016RG000550 · DOI
Huang, 2017, Drylands face potential threat under 2 °C global warming target, Nat. Clim. Chang., 7, 417, 10.1038/nclimate3275 · DOI
Hulme, 1996, Recent climatic change in the world's drylands, Geophys. Res. Lett., 23, 61, 10.1029/95GL03586 · DOI
Jacob, 2012, Assessing the transferability of the regional climate model REMO to different COordinated regional climate downscaling EXperiment (CORDEX) regions, Atmosphere (Basel), 3, 181, 10.3390/atmos3010181 · DOI
Knight, 2014, Predictions of climate several years ahead using an improved decadal prediction system, J. Clim., 27, 7550, 10.1175/JCLI-D-14-00069.1 · DOI
Koutroulis, 2016, Evaluation of precipitation and temperature simulation performance of the CMIP3 and CMIP5 historical experiments, Clim. Dyn., 47, 1881, 10.1007/s00382-015-2938-x · DOI
Koutroulis, 2018, Freshwater vulnerability under high end climate change. A pan-European assessment, Sci. Total Environ., 613
Koutroulis, 2018, Simulating hydrological impacts under climate change: implications from methodological differences of a Pan European assessment, Water (Switzerland), 10, 1331
Meybeck, 2013, Global hydrobelts and hydroregions: improved reporting scale for water-related issues?, Hydrol. Earth Syst. Sci., 17, 1093, 10.5194/hess-17-1093-2013 · DOI
Milly, 2016, Potential evapotranspiration and continental drying, Nat. Clim. Chang., 6, 946, 10.1038/nclimate3046 · DOI
Müller Schmied, 2016, Variations of global and continental water balance components as impacted by climate forcing uncertainty and human water use, Hydrol. Earth Syst. Sci., 20, 2877, 10.5194/hess-20-2877-2016 · DOI
Müller Schmied, 2016, Evaluation of radiation components in a global freshwater model with station-based observations, Water, 8, 450, 10.3390/w8100450 · DOI
Naumann, 2018, Global changes in drought conditions under different levels of warming, Geophys. Res. Lett., 45, 3285, 10.1002/2017GL076521 · DOI
Panagos, 2015, The new assessment of soil loss by water erosion in Europe, Environ. Sci. Pol., 54, 438, 10.1016/j.envsci.2015.08.012 · DOI
Papadimitriou, 2016, High-end climate change impact on European runoff and low flows — exploring the effects of forcing biases, Hydrol. Earth Syst. Sci., 20, 1785, 10.5194/hess-20-1785-2016 · DOI
Papadimitriou, 2017, The effect of GCM biases on global runoff simulations of a land surface model, Hydrol. Earth Syst. Sci., 21, 4379, 10.5194/hess-21-4379-2017 · DOI
Roderick, 2011, A simple framework for relating variations in runoff to variations in climatic conditions and catchment properties, Water Resour. Res., 47, 10.1029/2010WR009826 · DOI
Roderick, 2015, On the assessment of aridity with changes in atmospheric CO2, Water Resour. Res., 51, 5450, 10.1002/2015WR017031 · DOI
Scheff, 2015, Terrestrial aridity and its response to greenhouse warming across CMIP5 climate models, J. Clim., 28, 5583, 10.1175/JCLI-D-14-00480.1 · DOI
Schlaepfer, 2017, Climate change reduces extent of temperate drylands and intensifies drought in deep soils, Nat. Commun., 8, 10.1038/ncomms14196 · DOI
Shannon, 2018, Global glacier volume projections under high-end climate change scenarios, Cryosphere Discuss.
Sheffield, 2006, Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling, J. Clim., 19, 3088, 10.1175/JCLI3790.1 · DOI
Swann, 2016, Plant responses to increasing CO2 reduce estimates of climate impacts on drought severity, Proc. Natl. Acad. Sci. U. S. A., 113, 10019, 10.1073/pnas.1604581113 · DOI · Paper page
United Nations, 2016, Report of the Conference Parties on its twenty-first session, held in Paris, 30 November to 13 December 2015
Vautard, 2018, Evaluation of the HadGEM3-A simulations in view of detection and attribution of human influence on extreme events in Europe, Clim. Dyn., 1
Veldkamp, 2017, Water scarcity hotspots travel downstream due to human interventions in the 20th and 21st century, Nat. Commun., 8, 10.1038/ncomms15697 · DOI
Vousdoukas, 2018, Climatic and socioeconomic controls of future coastal flood risk in Europe, Nat. Clim. Chang., 8, 776, 10.1038/s41558-018-0260-4 · DOI
Walters, 2011, The Met Office Unified Model Global Atmosphere 3.0/3.1 and JULES Global Land 3.0/3.1 configurations, Geosci. Model Dev., 4, 919, 10.5194/gmd-4-919-2011 · DOI
Williams, 2010, Forest responses to increasing aridity and warmth in the southwestern United States, Proc. Natl. Acad. Sci. U. S. A., 107, 21289, 10.1073/pnas.0914211107 · DOI · Paper page
Yang, 2018, Disconnection between trends of atmospheric drying and continental runoff, Water Resour. Res., 54, 4700, 10.1029/2018WR022593 · DOI

Sorted by citations

Multifaceted characteristics of dryland aridity changes in a warming world
Lian, X., Piao, S. L., Chen, A., Huntingford, C., Fu, B., Li, L., Huang, J., Sheffield, J., Berg, A., Keenan, T. F., et al. (2021) · Nature Reviews Earth & Environment · doi:10.1038/s43017-021-00144-0 · Cited by 756
Challenges for drought assessment in the Mediterranean region under future climate scenarios
Tramblay, Y., Koutroulis, A., Samaniego, L., Vicente-Serrano, S. M., Volaire, F. A., Boone, A. A., Page, M. L., Llasat, M. C., Albergel, C., Burak, S., et al. (2020) · Earth-Science Reviews · doi:10.1016/j.earscirev.2020.103348 · Cited by 744
“5 scenario (Koutroulis, 2019; Koutroulis et al., 2019; Wyser et al., 2016), Mediterranean areas are expected to experience increases in time under severe and extreme drought (Figure 1).”
BackgroundSelf-citation
Increase in severe and extreme soil moisture droughts for Europe under climate change.
Grillakis, M. (2019) · Science of the Total Environment · doi:10.1016/j.scitotenv.2019.01.001 · Cited by 320
Climate change impacts on water security in global drylands
Stringer, L. C., Mirzabaev, A., Benjaminsen, T. A., Harris, R. M. B., Jafari, M., Lissner, T., Stevens, N., & der Pahlen, C. T.-V. (2021) · One Earth · doi:10.1016/j.oneear.2021.05.010 · Cited by 382
Climate change, drought, land degradation and migration: exploring the linkages
Hermans, K., & McLeman, R. (2021) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2021.04.013 · Cited by 242
No projected global drylands expansion under greenhouse warming
Berg, A., & McColl, K. A. (2021) · Nature Climate Change · doi:10.1038/s41558-021-01007-8 · Cited by 224
Discussion of the “warming and wetting” trend and its future variation in the drylands of Northwest China under global warming
Chen, F., Xie, T., Yang, Y., Chen, F., Chen, F., Huang, W., & Chen, J. (2023) · Science China Earth Sciences · doi:10.1007/s11430-022-1098-x · Cited by 164
“Regarding the greening trend of vegetation in North China since the 1980s (Figure 3g), previous research found that it mainly results from afforestation, the program of “Grain for Green”, and desertification prevention in North China (Chen C et al., 2019; Li et al., 2021; Wang et al., 2023).”
Result
Global-scale water security and desertification management amidst climate change
Jain, S., Srivastava, A., Khadke, L., Chatterjee, U., & Elbeltagi, A. (2024) · Environmental Science and Pollution Research · doi:10.1007/s11356-024-34916-0 · Cited by 168
“11.2% of the global land area is anticipated to move toward drier nature and 4.24% toward wetter in a 4 °C warmer world (Koutroulis 2019), with the bulk of newly enlarged dryland regions happening in poorer nations (Huang et al. 2016).”
Influential
Limited climate change mitigation potential through forestation of the vast dryland regions
Rohatyn, S., Yakir, D., Rotenberg, E., & Carmel, Y. (2022) · Science · doi:10.1126/science.abm9684 · Cited by 173
International migration and climate adaptation in an era of hardening borders
McLeman, R. (2019) · Nature Climate Change · doi:10.1038/s41558-019-0634-2 · Cited by 126
Spatiotemporal changes in global aridity in terms of multiple aridity indices: An assessment based on the CRU data
Ullah, S., You, Q., Sachindra, D. A., Nowosad, M., Ullah, W., Bhatti, A. S., Jin, Z. Z., & Ali, A. (2021) · Atmospheric Research · doi:10.1016/j.atmosres.2021.105998 · Cited by 124
Restoring Degraded Lands
Arneth, A., Olsson, L., Cowie, A., Erb, K.-H., Hurlbert, M., Kurz, W. A., Mirzabaev, A., & Rounsevell, M. D. A. (2021) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-012320-054809 · Cited by 106
Assessing the effects of ecological engineering on spatiotemporal dynamics of carbon storage from 2000 to 2016 in the Loess Plateau area using the InVEST model: A case study in Huining County, China
Li, K., Cao, J., Adamowski, J., Biswas, A., Zhou, J.-J., Liu, Y., Zhang, Y.-K., Liu, C.-F., Dong, X., & Qin, Y. (2021) · Environmental Development · doi:10.1016/j.envdev.2021.100641 · Cited by 106
Annual precipitation explains variability in dryland vegetation greenness globally but not locally
Ukkola, A., Kauwe, M. G. D., Roderick, M. L., Burrell, A. L., Lehmann, P., & Pitman, A. J. (2021) · Global Change Biology · doi:10.1111/gcb.15729 · Cited by 118
“Drylands cover 41% of the global land surface (Feng & Fu, 2013) and sustain 38% of the world's population (Koutroulis, 2019), with dryland vegetation providing essential ecosystem services and supporting biodiversity, livelihoods and food production.”
Background
How will the progressive global increase of arid areas affect population and land-use in the 21st century?
Spinoni, J., Barbosa, P., Cherlet, M., Forzieri, G., McCormick, N. L., Naumann, G., Vogt, J., & Dosio, A. (2021) · Global and Planetary Change · doi:10.1016/j.gloplacha.2021.103597 · Cited by 124
Global water availability under high-end climate change: A vulnerability based assessment
Koutroulis, A., Papadimitriou, L. V., Grillakis, M. G., Tsanis, I. K., Warren, R., & Betts, R. (2019) · Global and Planetary Change · doi:10.1016/j.gloplacha.2019.01.013 · Cited by 120
“The added value of the increased resolution is the improved representation of the physical processes and extremes (Betts et al., 2018; Koutroulis, 2018).”
BackgroundSelf-citation
Spatiotemporal changes in aridity and the shift of drylands in Iran
Pour, S. H., Wahab, A. K. A., & Shahid, S. (2019) · Atmospheric Research · doi:10.1016/j.atmosres.2019.104704 · Cited by 92
Dryland self-expansion enabled by land–atmosphere feedbacks
Koppa, A., Keune, J., Schumacher, D. L., Michaelides, K., Singer, M. B., Seneviratne, S. I., & Miralles, D. G. (2024) · Science · doi:10.1126/science.adn6833 · Cited by 97
Dryland microbiomes reveal community adaptations to desertification and climate change
Coleine, C., Delgado‐Baquerizo, M., DiRuggiero, J., Guirado, E., Harfouche, A. L., Pérez-Fernández, C. A., Singh, B. K., Selbmann, L., & Egidi, E. (2024) · The ISME Journal · doi:10.1093/ismejo/wrae056 · Cited by 107
“…the largest terrestrial biome, covering about 45% of the global land surface and supporting almost half the world’s cultivated systems and half of its livestock [2], encompassing a plethora of ecosystems such as rangelands, grasslands, wood-lands, savannahs, deserts, scrublands, and dry forests.”
Background
A review on maintenance strategies for PV systems.
Osmani, K., Haddad, A., Lemenand, T., Castanier, B., & Ramadan, M. (2020) · Science of the Total Environment · doi:10.1016/j.scitotenv.2020.141753 · Cited by 83
Land degradation neutrality: A review of progress and perspectives
Feng, S., Zhao, W., Zhan, T., Yan, Y., & Pereira, P. A. D. S. (2022) · Ecological Indicators · doi:10.1016/j.ecolind.2022.109530 · Cited by 108
Increase in compound dry-warm and wet-warm events under global warming in CMIP6 models
Yu, M., Hao, Z., Feng, S., Zhang, X., & Hao, F. (2022) · Global and Planetary Change · doi:10.1016/j.gloplacha.2022.103773 · Cited by 89
Assessment of Water Cycle Intensification Over Land using a Multisource Global Gridded Precipitation DataSet
Markonis, Y., Papalexiou, S., Martínková, M., & Hanel, M. (2019) · Journal of Geophysical Research - Atmospheres · doi:10.1029/2019jd030855 · Cited by 75
“…been noted that the precipitation changes over land do not follow the mechanism of atmospheric divergence (Byrne & O'Gorman, 2015; Greve et al., 2014; Markonis et al., 2018; Roderick et al., 2014), even though that arid regions appear to increase globally in model projections (Koutroulis, 2019).”
Background
Assessment of global warming in Al Buraimi, sultanate of Oman based on statistical analysis of NASA POWER data over 39 years, and testing the reliability of NASA POWER against meteorological measurements
Marzouk, O. A. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e06625 · Cited by 74
“, 2020), increased global economic inequality (Diffenbaugh and Burke, 2019), expansion of drylands (Koutrouli, 2019), and higher frequency of precipitation extremes (Papalexiou and Montanari, 2019), it serves as an alarm to individuals”
Background
Strategies for global rangeland stewardship: Assessment through the lens of the equilibrium–non‐equilibrium debate
Briske, D., Coppock, D., Illius, A., & Fuhlendorf, S. (2020) · Journal of Applied Ecology · doi:10.1111/1365-2664.13610 · Cited by 72
Human-caused long-term changes in global aridity
Chai, R., Mao, J., Chen, H., Wang, Y., Shi, X., Jin, M., Zhao, T., Hoffman, F. M., Ricciuto, D. M., & Wullschleger, S. D. (2021) · npj Climate and Atmospheric Science · doi:10.1038/s41612-021-00223-5 · Cited by 71
Drought trend, frequency and extremity across a wide range of climates over Iran
Nouri, M., & Homaee, M. (2020) · Meteorological Applications · doi:10.1002/met.1899 · Cited by 69
“These regions are highly susceptible to climatic changes and anomalies such as droughts (Koutroulis, 2019).”
Background
Aridity and desertification in the Mediterranean under EURO-CORDEX future climate change scenarios
Carvalho, D., Pereira, S., Silva, R., & Rocha, A. (2022) · Climatic Change · doi:10.1007/s10584-022-03454-4 · Cited by 62
“2017), and other studies project similar trends in the future (Huang et al. 2015; Koutroulis 2019).”
BackgroundResultInfluential
Global response of terrestrial gross primary productivity to climate extremes.
Yuan, M., Zhu, Q.-A., Zhang, J., Liu, J., Chen, H., Peng, C., Li, P., Li, M., Wang, M., & Zhao, P.-X. (2021) · Science of the Total Environment · doi:10.1016/j.scitotenv.2020.142337 · Cited by 62
Food security among dryland pastoralists and agropastoralists: The climate, land-use change, and population dynamics nexus
Stavi, I., de Pinho, J. R., Paschalidou, A., Adamo, S., Galvin, K., de Sherbinin, A., Even, T., Heaviside, C., & van der Geest, K. (2021) · The Anthropocene Review · doi:10.1177/20530196211007512 · Cited by 61
“2 billion people (more pessimistic scenario) (Koutroulis, 2019).”
BackgroundInfluential
What factors affect the water saving behaviors of farmers in the Loess Hilly Region of China?
Su, H.-Z., Zhao, X.-Y., Wang, W.-J., Jiang, L., & Xue, B. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.112683 · Cited by 60
Key Areas of Ecological Restoration in Inner Mongolia Based on Ecosystem Vulnerability and Ecosystem Service
Feng, S.-Y., Liu, X., Zhao, W.-W., Yao, Y., Zhou, A., Liu, X.-X., & Pereira, P. (2022) · Remote Sensing · doi:10.3390/rs14122729 · Cited by 57
Global droughts in a warming climate: Evaluation of SPI and SPEI under 1.5 , 2 , and 3 C global warming
Bhardwaj, K., Mishra, A., & Khedun, C. P. (2025) · Journal of Hydrology · doi:10.1016/j.jhydrol.2025.133309 · Cited by 55
Partitioning evapotranspiration and its long-term evolution in a dry pine forest using measurement-based estimates of soil evaporation
Qubaja, R., Amer, M., Tatarinov, F., Rotenberg, E., Preisler, Y., Sprintsin, M., & Yakir, D. (2020) · doi:10.1016/j.agrformet.2019.107831 · Cited by 54
Africa’s drylands in a changing world: Challenges for wildlife conservation under climate and land-use changes in the Greater Etosha Landscape
Turner, W. C., Périquet, S., Goelst, C. E., Vera, K. B., Cameron, E. Z., Alexander, K. A., Belant, J. L., Cloete, C. C., du Preez, P., Getz, W. M., et al. (2022) · Global Ecology and Conservation · doi:10.1016/j.gecco.2022.e02221 · Cited by 72
“Approximately 47 % of global land area is characterized as dryland that, despite low productivity, is home to ~40 % of the world’s human population (Koutroulis, 2019; Mirzabaev et al., 2019).”
Background
Three-dimensional-based global drought projection under global warming tendency
Ji, Y.-D., Fu, J.-Y., Lu, Y., & Liu, B. (2023) · Atmospheric research · doi:10.1016/j.atmosres.2023.106812 · Cited by 52
Assessment of spatiotemporal variations of ecosystem service values and hotspots in a dryland: A case‐study in Pakistan
Akhtar, M., Zhao, Y.-Y., Gao, G.-L., Gulzar, Q., & Hussain, A. (2022) · Land Degradation & Development · doi:10.1002/ldr.4245 · Cited by 49
Mask R-CNN and OBIA Fusion Improves the Segmentation of Scattered Vegetation in Very High-Resolution Optical Sensors
Guirado, E., Blanco-Sacristán, J., Rodríguez-Caballero, E., Tabik, S., Alcaraz-Segura, D., Martínez-Valderrama, J., & Cabello, J. (2021) · Italian National Conference on Sensors · doi:10.3390/s21010320 · Cited by 48
“Dryland biomes cover ~47% of the Earth’s surface [1].”
Background
Hotspots, co-occurrence, and shifts of compound and cascading extreme climate events in Eurasian drylands
Yu, H., Lü, N., Fu, B., Zhang, L., Wang, M., & Tian, H. (2022) · Environment International · doi:10.1016/j.envint.2022.107509 · Cited by 46
Past and projected climate change impacts on rainfall erosivity: Advancing our knowledge for the eastern Mediterranean island of Crete
Grillakis, M. G., Polykretis, C., & Alexakis, D. D. (2020) · CATENA · doi:10.1016/j.catena.2020.104625 · Cited by 54
The response of plant functional traits to aridity in a tropical dry forest.
de Oliveira, A. D., Nunes, A., Rodrigues, R. G., & Branquinho, C. (2020) · Science of the Total Environment · doi:10.1016/j.scitotenv.2020.141177 · Cited by 46
Five‐year field trial of the biomass productivity and water input response of cactus pear (Opuntia spp.) as a bioenergy feedstock for arid lands
Neupane, D., Mayer, J. A., Niechayev, N. A., Bishop, C., & Cushman, J. (2021) · doi:10.1111/gcbb.12805 · Cited by 44
“, 2020), altered geographic redistributions of plants (Crous, 2019), and an expansion of drylands (Dai et al., 2018; Huang et al., 2015; Koutroulis, 2019; Wei et al., 2019; Xu et al., 2019).”
Background
Multi-scale analyses on the ecosystem services in the Chinese Loess Plateau and implications for dryland sustainability
Lu, Y.-H., Lu, D., Feng, X.-M., & Fu, B. (2021) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2020.08.001 · Cited by 44
New Functional Foods with Cactus Components: Sustainable Perspectives and Future Trends
Monteiro, S. S., Almeida, R. L., Santos, N. C., Pereira, E., Silva, A. P., Oliveira, H. M. L., & Pasquali, M. A. D. B. (2023) · Foods · doi:10.3390/foods12132494 · Cited by 43
“The world’s drylands cover nearly 47% of the Earth’s surface and support 39% of the world’s population [11].”
Background
Land cover changes the soil moisture response to rainfall on the Loess Plateau
Ge, F.-C., Xu, M.-X., Gong, C., Zhang, Z., Tan, Q., & Pan, X.-H. (2022) · Hydrological Processes · doi:10.1002/hyp.14714 · Cited by 43
“Under the background of global warming (Williams et al., 2020), the dryland area will continue to expand (Feng & Fu, 2013; Lickley & Solomon, 2018), from 40% (Huang et al., 2016) of the global terrestrial ecosystem currently to 47% by the end of the 21st century (Koutroulis, 2019).”
Background
Assessing drought impacts on groundwater and agriculture in Iran using high-resolution precipitation and evapotranspiration products
Shayeghi, A., Ziveh, A. R., Bakhtar, A., Teymoori, J., Hanel, M., Godoy, M. R. V., Markonis, Y., & AghaKouchak, A. (2024) · Journal of Hydrology · doi:10.1016/j.jhydrol.2024.130828 · Cited by 41
Divergent trends in grassland degradation and desertification under land use and climate change in Central Asia from 2000 to 2020
Zhao, Y., Wang, J., Zhang, G.-L., Liu, L., Yang, J.-L., Wu, X.-C., Biradar, Ç., Dong, J.-W., & Xiao, X.-M. (2023) · Ecological Indicators · doi:10.1016/j.ecolind.2023.110737 · Cited by 41
“Thus, dryland ecosystems are increasingly endangered by land degradation and desertification, which furthermore threatens the environment and socio-economic activities (Koutroulis, 2019; Reynolds et al., 2007).”
Background
Climate change and geo-environmental factors influencing desertification: a critical review.
Roy, P., Pal, S., Chakrabortty, R., Chowdhuri, I., Saha, A., Ruidas, D., Islam, A. R. M. T., & Islam, A. (2024) · Environmental science and pollution research international · doi:10.1007/s11356-024-32432-9 · Cited by 40
Climate model projections of aridity patterns in Türkiye: A comprehensive analysis using CMIP6 models and three aridity indices
Yavaşlı, D. D., & Erlat, E. (2023) · International Journal of Climatology · doi:10.1002/joc.8201 · Cited by 39
“5 concentration scenario, 2% of the global land area is projected to shift towards drier types and 4.24% to wetter at a 4 C warmer world above pre-industrial levels (Koutroulis, 2019).”
BackgroundInfluential
Towards an understanding of future range shifts in lichens and mosses under climate change
Mallen-Cooper, M., Rodríguez-Caballero, E., Eldridge, D., Weber, B., Büdel, B., Höhne, H., & Cornwell, W. (2022) · Journal of Biogeography · doi:10.1111/jbi.14542 · Cited by 39
Resilience of the microbial communities of semiarid agricultural soils during natural climatic variability events
Pérez‐Guzmán, L., Acosta-Martínez, V., Phillips, L., & Mauget, S. (2020) · Applied Soil Ecology · doi:10.1016/j.apsoil.2019.103487 · Cited by 39
Enhanced coke suppression by using phosphate-zirconia supported nickel catalysts under dry methane reforming conditions
Ibrahim, A., Al-Fatesh, A., Khan, W., Kasim, S., Abasaeed, A., Fakeeha, A., Bonura, G., & Frusteri, F. (2019) · International journal of hydrogen energy · doi:10.1016/j.ijhydene.2019.09.014 · Cited by 39
Potential impacts of climate change on an aquifer in the arid Altiplano, northern Chile: The case of the protected wetlands of the Salar del Huasco basin
Blin, N., Hausner, M., Leray, S., Lowry, C., & Suárez, F. (2022) · Journal of Hydrology: Regional Studies · doi:10.1016/j.ejrh.2022.100996 · Cited by 38
Future projection of droughts in Morocco and potential impact on agriculture.
Gumus, V., Moçayd, N. E., Seker, M., & Seaid, M. (2024) · Journal of Environmental Management · doi:10.1016/j.jenvman.2024.122019 · Cited by 38
Vegetation as the catalyst for water circulation on global terrestrial ecosystem.
Chen, J., Shao, Z.-F., Deng, X.-J., Huang, X., & Dang, C.-Y. (2023) · Science of the Total Environment · doi:10.1016/j.scitotenv.2023.165071 · Cited by 38
Land use significantly improved grassland degradation and desertification states in China over the last two decades.
Zhao, Y., Chang, C., Zhou, X., Zhang, G., & Wang, J. (2023) · Journal of Environmental Management · doi:10.1016/j.jenvman.2023.119419 · Cited by 37
The variation of net primary productivity and underlying mechanisms vary under different drought stress in Central Asia from 1990 to 2020
Li, S., & He, S. (2021) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2021.108767 · Cited by 38
Climate Change and Potential Demise of the Indian Deserts
Rajesh, P., & Goswami, B. (2022) · Earth's Future · doi:10.1029/2022ef003459 · Cited by 36
“Interestingly, many modeling studies indicate that Global Warming (GW) is expected to cause precipitation to decrease in most semi-arid regions, and vegetation-albedo feedback is likely to lead to the expansion of the global deserts (Koutroulis, 2019; Liu & Xue, 2020; Wetherald & Manabe, 2002; Zeng & Yoon, 2009).”
Background
Minimum Rainfall Inter-Event Time to Separate Rainfall Events in a Low Latitude Semi-Arid Environment
Brasil, J. B., Guerreiro, M. S., de Andrade, E. M., Palácio, H. A. D. Q., Medeiros, P., & Ribeiro, J. C. (2022) · Sustainability · doi:10.3390/su14031721 · Cited by 36
Desertification process and its effects on vegetation carbon sources and sinks vary under different aridity stress in Central Asia during 1990–2020
Li, S., He, S., Xu, Z., Liu, Y., & von Bloh, W. (2023) · CATENA · doi:10.1016/j.catena.2022.106767 · Cited by 35
Soil health in Latin America and the Caribbean
Poppiel, R. R., Cherubin, M. R., Novais, J. J., & Demattê, J. A. M. (2025) · Communications Earth & Environment · doi:10.1038/s43247-025-02021-w · Cited by 46
“…lower SHI in northwestern Brazil most in ﬂ uenced by climate factors (area under high pressure of deserti ﬁ cation 41 – 43 ; intermediate SHI in the Amazon basin signed to vegetation biomass dynamics; middle-low SHI in Central Brazil caused by soil exposure from…”
Brazilian Dry Forest (Caatinga) Response To Multiple ENSO: the role of Atlantic and Pacific Ocean
Pereira, M. P. S., Mendes, K. R., Justino, F. B., do Couto-Santos, F. R., da Silva, A. S., da Silva, D. F., & Malhado, A. C. M. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.135717 · Cited by 45
Climate Resilient Development Pathways in Global Drylands
Stringer, L., Simpson, N., Schipper, E., & Eriksen, S. (2022) · Anthropocene Science · doi:10.1007/s44177-022-00027-z · Cited by 30
“…Change and Development in the Drylands Dryland areas are the hyper-arid, arid, semi-arid and dry sub-humid areas of the planet that cover about 45–47% of the Earth’s land area (Koutroulis 2019), and are inhabited by around a third of the world’s population: c.3 billion people (van der Esch et al.”
Background
Assessing the sustainability of livestock socio-ecosystems in the drylands through a set of indicators
Alary, V., Lasseur, J., Frija, A., & Gautier, D. (2022) · Agricultural Systems · doi:10.1016/j.agsy.2022.103389 · Cited by 30
Large variations in afforestation-related climate cooling and warming effects across short distances
Rohatyn, S., Rotenberg, E., Tatarinov, F. A., Carmel, Y., & Yakir, D. (2023) · Communications Earth & Environment · doi:10.1038/s43247-023-00678-9 · Cited by 31
“Since the ‘break-even time’ increases with aridity, and may exceed the expected forests life cycles, our results indicate that shifts such as predicted by Koutroulis 19 may result in corresponding shifts in the potential climate change mitigation benefits of forestation actions in drylands.”
Result
Potential distribution of three types of ephemeral plants under climate changes
Zhang, L., Liu, H.-L., Zhang, H.-X., Chen, Y.-F., Zhang, L.-W., Kudusi, K., Taxmamat, D., & Zhang, Y.-M. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2022.1035684 · Cited by 28
“, 2017), especially in the mid-latitude arid regions, where there are precipitation changes and temperature increases because of climate change, such as reduced precipitation and increased evaporation (Koutroulis, 2019).”
Background
Spatiotemporal Differentiation and the Factors of Ecological Vulnerability in the Toutun River Basin Based on Remote Sensing Data
Liu, Q., & Shi, T.-G. (2019) · Sustainability · doi:10.3390/su11154160 · Cited by 28
“The environmental problems following those pressures, such as global warming [5], soil erosion [6], desertification [7], environment pollution [8], and loss of biodiversity [9], have changed the ecosystem structure and process, decreased the ecosystem service value, and posed great threats to region sustainable develo…”
BackgroundInfluential
Precise ecological restoration under water diversions-groundwater-ecosystem interactions in drylands
Liu, Q., Wang, G.-Y., Gui, D.-W., Liu, Y.-F., Abd-Elmabod, S. K., & Wei, G. (2023) · Journal of Hydrology · doi:10.1016/j.jhydrol.2023.130601 · Cited by 27
Desertification dynamics in China’s drylands under climate change
Meng-Tian, H. U. A. N. G., & Pan-mao, Z. (2023) · Advances in Climate Change Research · doi:10.1016/j.accre.2023.05.001 · Cited by 27
Spatial Shift of Aridity and Its Impact on Land Use of Syria
Houmsi, M. R., Shiru, M., Nashwan, M. S., Ahmed, K., Ziarh, G. F., Shahid, S., Chung, E., & Kim, S. (2019) · Sustainability · doi:10.3390/su11247047 · Cited by 27
“Koutroulis [14] projected a 7% increase in global drylands in the last part of the present century while Feng and Fu [15] projected an increase of 10%.”
Background
The role of climate, vegetation, and soil factors on carbon fluxes in Chinese drylands
Liu, Z., Chen, Z., Yu, G.-R., Zhang, W., Zhang, T., & Han, L. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2023.1060066 · Cited by 26
“Drylands cover 41% of the global land surface (Feng and Fu, 2013) and sustain 38% of the world’s population (Koutroulis, 2019).”
Background
Agriculture intensification and moisture-induced Thar desert greening: implications for energy balance, socio-economy, and biodiversity
Kashyap, R., Kuttippurath, J., & Patel, V. K. (2025) · GIScience & Remote Sensing · doi:10.1080/15481603.2025.2483458 · Cited by 25
“In the context of global warming, majority of semi-arid regions are expanding (Huang et al. 2017) and vegetation-albedo feedback will contribute to the expansion of deserts on a global scale (Koutroulis 2019; Zeng and Yoon 2009; IPCC 2021).”
Climate change–drylands–food security nexus in Africa: From the perspective of technical advances, challenges, and opportunities
Hirwa, H., Li, F., Qiao, Y., Measho, S., Muhirwa, F., Tian, C., Leng, P., Ingabire, R., Itangishaka, A. C., Chen, G., et al. (2022) · Frontiers in Environmental Science · doi:10.3389/fenvs.2022.851249 · Cited by 42
“Ultimately, model simulations and other evidence clearly show that continued global warming will make the earth’s drylands drier over time (Overpeck and Udall, 2010; Huang et al., 2012; Feng and Fu, 2013; Koutroulis, 2019).”
Background
Modeling the potential distribution of cacti under climate change scenarios in the largest tropical dry forest region in South America
Cavalcante, A. D. M. B., & Sampaio, A. C. G. (2022) · Journal of Arid Environments · doi:10.1016/j.jaridenv.2022.104725 · Cited by 25
Framing and context
(2022) · Climate Change and Land · doi:10.1017/9781009157988.003 · Cited by 23
Global blind spots in soil health research overlap with environmental vulnerability hotspots
Cherubin, M. R., Pinheiro, C. R., Souza, L. F. N., Canisares, L., Ferreira, T. O., Cerri, C. E., Minasny, B., & Smith, P. (2025) · Communications Earth & Environment · doi:10.1038/s43247-025-02663-w · Cited by 24
“Such ari-di ﬁ cation is expected to result in a global expansion of drylands by up to 6.9% 54 predominantly in the developing regions 55 , exacerbating its socio-economic vulnerability.”
Influential
How will drought evolve in global arid zones under different future emission scenarios?
Wu, F., Yang, X.-L., Yuan, X., Ren, L.-L., Yuan, S.-S., Yuan, F., Jiang, S.-H., Liu, Y., & Zhang, H.-S. (2024) · Journal of Hydrology: Regional Studies · doi:10.1016/j.ejrh.2024.101661 · Cited by 24
Significant influences of extreme climate on autumn phenology in Central Asia grassland
Gao, X.-Y., Tao, Z.-X., & Dai, J.-H. (2023) · Ecological Indicators · doi:10.1016/j.ecolind.2023.111056 · Cited by 24
Advancing the Evidence Base of Future Warming Impacts on Human Mobility in African Drylands
Thalheimer, L., Williams, D., Geest, K., & Otto, F. (2021) · Earth's Future · doi:10.1029/2020ef001958 · Cited by 24
“4 of 10 In a warmer world, drylands are expanding globally (IPCC, 2018) while high population growth in drylands exposes more people to climate hazards (Koutroulis, 2019).”
BackgroundInfluential
Measurements and modeling of hydrological responses to summer pruning in dryland apple orchards
Ye, M., Zhao, X.-N., Biswas, A., Huo, G., Yang, B., Zou, Y.-F., Siddique, K., & Gao, X.-D. (2021) · doi:10.1016/j.jhydrol.2020.125651 · Cited by 23
Prevention of substrate and product inhibitions by using a dilution strategy during dark fermentative hydrogen production from molasses
Mıynat, M. E., & Argun, H. (2020) · doi:10.1016/j.ijhydene.2020.03.118 · Cited by 23
Specific climate classification for Mediterranean hydrology and future evolution under Med-CORDEX regional climate model scenarios
Allam, A., Moussa, R., Najem, W., & Bocquillon, C. (2020) · Hydrology and Earth System Sciences · doi:10.5194/hess-24-4503-2020 · Cited by 23
Effect of rainfall, temperature and climate change on the ecology of the rodents of arid zones: a review
Ventura‐Rojas, P. D., González-Romero, A., Moreno, C. E., & Sosa, V. (2024) · Mammal Review · doi:10.1111/mam.12372 · Cited by 22
Optimal water allocation at different levels of climate change to minimize water shortage in arid regions (Case Study: Zayandeh-Rud River Basin, Iran)
Zareian, M. (2021) · Journal of Hydro-environment Research · doi:10.1016/j.jher.2021.01.004 · Cited by 22
Local environmental variables are key drivers of ant taxonomic and functional beta-diversity in a Mediterranean dryland
Wendt, C. F., Ceia-Hasse, A., Nunes, A., Verble, R., Santini, G., Boieiro, M., & Branquinho, C. (2021) · Scientific Reports · doi:10.1038/s41598-021-82059-w · Cited by 22
Imaging Spectroscopy for Conservation Applications
Seeley, M. M., & Asner, G. P. (2021) · Remote Sensing · doi:10.3390/rs13020292 · Cited by 28
“Drylands Dryland ecosystems cover nearly half of the global land area [74], and approximately three billion people, or nearly 40% of the global population, live in dryland ecosystems [75].”
Background
Determination of Co2 capture in rendering mortars produced with recycled construction and demolition waste by thermogravimetry
Mazurana, L., Bittencourt, P. R. S., Scremin, F. R., Neves, A., & Possan, E. (2021) · Journal of Thermal Analysis and Calorimetry · doi:10.1007/s10973-020-10436-0 · Cited by 31
Assessment of spatio-temporal dynamics of land degradation and desertification in Pakistan and its impact on agriculture productivity
Hissan, R. U., Shafiq, H., Nassani, A., Parveen, N., Hussain, B., & Radulescu, M. (2024) · Environment, Development and Sustainability · doi:10.1007/s10668-024-05224-x · Cited by 21
“LDD can also lead to a reduction in biodiversity and poverty around the world (Koutroulis, 2019 ).”
Plant biomass allocation is mediated by precipitation use efficiency in arid and semiarid ecosystems
Feng, S., Ding, J., Zhan, T., Zhao, W., & Pereira, P. (2022) · Land Degradation and Development · doi:10.1002/ldr.4455 · Cited by 25
“Furthermore, the continuous expansion of arid and semiarid land under a changing climate (Feng & Fu, 2013; Huang et al., 2016; Koutroulis, 2019) will largely alter human welfare and affect the achievement of sustainable development goals (Yin et al., 2021).”
Background
Catalytic pyrolysis of pine bark over Ni/SiO2 in a CO2 atmosphere
Lee, T., Jung, S., Kim, K.-H., & Kwon, E. (2021) · Energy · doi:10.1016/j.energy.2021.119827 · Cited by 21
Controlling gully- and revegetation-induced dried soil layers across a slope-gully system.
Zhang, C.-C., Wang, Y.-Q., & Shao, M. (2020) · Science of the Total Environment · doi:10.1016/j.scitotenv.2020.142444 · Cited by 21
Variation of vegetation fractional coverage and its relationship with climate in a desert steppe: optimization of farmland layout in a farming–pastoral ecotone using the ecological suitability index
Song, Y.-F., Lu, Y.-J., Liu, T.-J., Li, H.-P., Yue, Z.-W., Liu, H.-W., & Gao, T.-M. (2020) · doi:10.1016/j.ecoleng.2020.105834 · Cited by 21
Land use/cover changes and subsequent water budget imbalance exacerbate soil aridification in the farming-pastoral ecotone of northern China
Zhang, G., Chen, X., Zhou, Y., Zhao, H., Jin, Y., Luo, Y., Chen, S., Wu, X., Pan, Z., & An, P. (2023) · Journal of Hydrology · doi:10.1016/j.jhydrol.2023.129939 · Cited by 21
Long-term effects of grazing on the biological, chemical, and physical soil properties of the Caatinga biome.
Oliveira, A. D. F. N., de Sousa, L. I. S., da Costa, V. A. S., de Andrade, J. V. D., Lima, L. A. L., de Sales, P. A. F., da Silva, D. F., Pereira, A. P. D. A., & Melo, V. M. M. (2021) · Microbiology Research · doi:10.1016/j.micres.2021.126893 · Cited by 20
Using regional warming levels to describe future climate change for services and adaptation: Application to the French reference trajectory for adaptation
Corre, L., Ribes, A., Bernus, S., Drouin, A., Morin, S., & Soubeyroux, J. (2025) · Climate Services · doi:10.1016/j.cliser.2025.100553 · Cited by 19
Projection of meteorological drought in Türkiye’s Mediterranean region based on multi-model ensemble from CMIP6
Gumus, V., & Seker, M. (2024) · Hydrological Sciences Journal · doi:10.1080/02626667.2024.2364712 · Cited by 19
“Similarly, Koutroulis (2019) observed that climate change, characterized by reduced precipitation and increased PET, would exacerbate droughts and expand their impact areas across the Southern Mediterranean region under various warming scenarios (+1.5, +2, +4°C).”
Influential
Slightly Enhanced Drought in the Yellow River Basin Under Future Warming Scenarios
Li, C., Kattel, G., Zhang, J., Shang, Y.-J., Gnyawali, K., Zhang, F., & Miao, L. (2022) · Social Science Research Network · doi:10.2139/ssrn.4052312 · Cited by 19
Future summer warming pattern under climate change is affected by lapse-rate changes
Brogli, R., Sørland, S. L., Kröner, N., & Schär, C. (2021) · Weather and Climate Dynamics · doi:10.5194/wcd-2-1093-2021 · Cited by 19
Using a space-for-time approach to select the best biodiversity-based indicators to assess the effects of aridity on Mediterranean drylands
Wendt, C. F., Nunes, A., Verble, R., Santini, G., Boieiro, M., & Branquinho, C. (2020) · Ecological Indicators · doi:10.1016/j.ecolind.2020.106250 · Cited by 19
Landscape differentiation of soil bacteria and bacteria-soil-vegetation interactions in desert-oasis ecosystems
Chen, L.-J., Li, C., Zhang, Z., Feng, Q., Xi, H.-Y., Guo, R., Zhang, C., & Wei, Y.-X. (2023) · Global and Planetary Change · doi:10.1016/j.gloplacha.2023.104323 · Cited by 18

Authors: Koutroulis, A. G.
Affiliations: Technical University of Crete (GR)
Corresponding author: Koutroulis, Aristeidis G.
ORCID: Koutroulis, Aristeidis G.
Venue: Science of The Total Environment
Publisher: Elsevier BV
Published: 2019-03
Volume: 655
Pages: 482-511
ISSN: 0048-9697 (ISSN-L)
DOI: 10.1016/j.scitotenv.2018.11.215
OpenAlex: W2901145303
Cited by: 294
References: 0
Citations by year: 2026: 29 · 2025: 41 · 2024: 51 · 2023: 40 · 2022: 52 · 2021: 44 · 2020: 25 · 2019: 12
FWCI: 11.86
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: The Science of The Total Environment (publishedVersion)
PubMed (publishedVersion)
Funders: Seventh Framework Programme (603864)
Topics: Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
Physical Sciences › Environmental Science › Global and Planetary Change › Hydrology and Drought Analysis
Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Environmental Impact
Keywords: arid regions, aridity, global warming, climate change projections, CMIP5, RCP8.5, dryland expansion, land degradation, river basins, hydrological change, 1.5°C target, climate model resolution

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Dryland changes under different levels of global warming

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Metadata

Record

About these checks