Articles | Volume 19, issue 5
https://doi.org/10.5194/bg-19-1515-2022
© Author(s) 2022. 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-19-1515-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Mar 2022
Research article |
| 17 Mar 2022
| 17 Mar 2022
Land Management Contributes significantly to observed Vegetation Browning in Syria during 2001–2018
Tiexi Chen
CORRESPONDING AUTHOR
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, School of Geographical Sciences, Nanjing University
of Information Science and Technology, Nanjing 210044, China
School of Geographical Sciences, Qinghai Normal University, Xining
810008, China
Renjie Guo
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, School of Geographical Sciences, Nanjing University
of Information Science and Technology, Nanjing 210044, China
Qingyun Yan
School of Remote Sensing and Geomatics Engineering, Nanjing University
of Information Science and Technology, Nanjing 210044, China
Xin Chen
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, School of Geographical Sciences, Nanjing University
of Information Science and Technology, Nanjing 210044, China
Shengjie Zhou
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, School of Geographical Sciences, Nanjing University
of Information Science and Technology, Nanjing 210044, China
Chuanzhuang Liang
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, School of Geographical Sciences, Nanjing University
of Information Science and Technology, Nanjing 210044, China
Xueqiong Wei
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, School of Geographical Sciences, Nanjing University
of Information Science and Technology, Nanjing 210044, China
Han Dolman
NIOZ Royal Netherlands Institute for Sea Research, Den Burg 1790
AB, Texel, the Netherlands
Department of Earth Sciences, Vrije Universiteit Amsterdam, Amsterdam
1081 HV, the Netherlands
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Ana Maria Roxana Petrescu, Matthew J. McGrath, Robbie M. Andrew, Philippe Peylin, Glen P. Peters, Philippe Ciais, Gregoire Broquet, Francesco N. Tubiello, Christoph Gerbig, Julia Pongratz, Greet Janssens-Maenhout, Giacomo Grassi, Gert-Jan Nabuurs, Pierre Regnier, Ronny Lauerwald, Matthias Kuhnert, Juraj Balkovič, Mart-Jan Schelhaas, Hugo A. C. Denier van der
Gon, Efisio Solazzo, Chunjing Qiu, Roberto Pilli, Igor B. Konovalov, Richard A. Houghton, Dirk Günther, Lucia Perugini, Monica Crippa, Raphael Ganzenmüller, Ingrid T. Luijkx, Pete Smith, Saqr Munassar, Rona L. Thompson, Giulia Conchedda, Guillaume Monteil, Marko Scholze, Ute Karstens, Patrick Brockmann, and Albertus Johannes Dolman
Earth Syst. Sci. Data, 13, 2363–2406, https://doi.org/10.5194/essd-13-2363-2021, https://doi.org/10.5194/essd-13-2363-2021, 2021
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Ove H. Meisel, Joshua F. Dean, Jorien E. Vonk, Lukas Wacker, Gert-Jan Reichart, and Han Dolman
Biogeosciences, 18, 2241–2258, https://doi.org/10.5194/bg-18-2241-2021, https://doi.org/10.5194/bg-18-2241-2021, 2021
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Arctic permafrost lakes form thaw bulbs of unfrozen soil (taliks) beneath them where carbon degradation and greenhouse gas production are increased. We analyzed the stable carbon isotopes of Alaskan talik sediments and their porewater dissolved organic carbon and found that the top layers of these taliks are likely more actively degraded than the deeper layers. This in turn implies that these top layers are likely also more potent greenhouse gas producers than the underlying deeper layers.
Srijana Lama, Sander Houweling, K. Folkert Boersma, Henk Eskes, Ilse Aben, Hugo A. C. Denier van der Gon, Maarten C. Krol, Han Dolman, Tobias Borsdorff, and Alba Lorente
Atmos. Chem. Phys., 20, 10295–10310, https://doi.org/10.5194/acp-20-10295-2020, https://doi.org/10.5194/acp-20-10295-2020, 2020
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Rapid urbanization has increased the consumption of fossil fuel, contributing the degradation of urban air quality. Burning efficiency is a major factor determining the impact of fuel burning on the environment. We quantify the burning efficiency of fossil fuel use over six megacities using satellite remote sensing data. City governance can use these results to understand air pollution scenarios and to formulate effective air pollution control strategies.
Cited articles
Alcantara, C., Kuemmerle, T., Baumann, M., Bragina, E. V., Griffiths, P.,
Hostert, P., Knorn, J., Müller, D., Prishchepov, A. V., and Schierhorn,
F.: Mapping the extent of abandoned farmland in Central and Eastern Europe
using MODIS time series satellite data, Environ. Res. Lett., 8, 035035, https://doi.org/10.1088/1748-9326/8/3/035035,
2013.
Brown, L. A., Meier, C., Morris, H., Pastor-Guzman, J., Bai, G., Lerebourg,
C., Gobron, N., Lanconelli, C., Clerici, M., and Dash, J.: Evaluation of
global leaf area index and fraction of absorbed photosynthetically active
radiation products over North America using Copernicus Ground Based
Observations for validation data, Remote Sens. Environ., 247, 218–230,
https://doi.org/10.1016/J.RSE.2020.111935, 2020.
Burrell, A. L., Evans, J. P., and Liu, Y.: Detecting dryland degradation
using time series segmentation and residual trend analysis (TSS-RESTREND),
Remote Sens. Environ., 197, 43–57,
https://doi.org/10.1016/J.RSE.2017.05.018, 2017.
Carter Center: Analyzing Shifts in Territorial Control within Syria Offers
Glimpse of Future Challenges,
https://www.cartercenter.org/news/features/p/conflict_resolution/syria-mapping-shifts-in-territorial-control.html, last access: 13 May 2020.
Châtel, F. D.: The Role of Drought and Climate Change in the Syrian Uprising: Untangling the Triggers of the Revolution, Middle Eastern Stud.,
50, 521–535, doi10.1080/00263206.2013.850076, 2014.
Chen, C., Park, T., Wang, X., Piao, S., Xu, B., Chaturvedi, R. K., Fuchs,
R., Brovkin, V., Ciais, P., and Fensholt, R.: China and India lead in
greening of the world through land-use management, Nat. Sustain., 2,
122–129, https://doi.org/10.1038/S41893-019-0220-7, 2019.
Chen, T., Jeu, R. A. M. d., Liu, Y. Y., Werf, G. R. V. D., and Dolman, A.
J.: Using satellite based soil moisture to quantify the water driven
variability in NDVI: A case study over mainland Australia, Remote Sens.
Environ., 140, 330–338, https://doi.org/10.1016/J.RSE.2013.08.022,
2014.
Chen, T., Zhou, S., Liang, C., Hagan, D. F. T., Zeng, N., Wang, J., Shi, T.,
Chen, X., and Dolman, A. J.: The greening and wetting of the Sahel have
leveled off since about 1999 in relation to SST, Remote Sens., 12, 2723,
https://doi.org/10.3390/RS12172723, 2020.
d'Amour, C. B., Reitsma, F., Baiocchi, G., Barthel, S., Güneralp, B.,
Erb, K.-H., Haberl, H., Creutzig, F., and Seto, K. C.: Future urban land
expansion and implications for global croplands, P. Natl. Acad. Sci. USA, 114, 8939–8944, https://doi.org/10.1073/PNAS.1606036114, 2017.
Dardel, C. c., Kergoat, L., Hiernaux, P., Grippa, M., Mougin, E., Ciais, P.,
and Nguyen, C.-C.: Rain-Use-Efficiency: What it tells us about the
Conflicting Sahel Greening and Sahelian Paradox, Remote Sens., 6,
3446-3474, https://doi.org/10.3390/RS6043446, 2014.
Didan, K.: MOD13C2 MODIS/Terra Vegetation Indices Monthly L3 Global 0.05P∘ CMG, NASA LP DAAC [data set], https://doi.org/10.5067/MODIS/MOD13C2.006, 2015 (https://ladsweb.modaps.eosdis.nasa.gov).
Eklund, L. and Thompson, D.: Differences in resource management affects
drought vulnerability across the borders between Iraq, Syria, and Turkey,
Ecol. Soc., 22, 9, https://doi.org/10.5751/ES-09179-220409, 2017.
Erb, K.-H., Luyssaert, S., Meyfroidt, P., Pongratz, J., Don, A., Kloster,
S., Kuemmerle, T., Fetzel, T., Fuchs, R., Herold, M., Haberl, H., Jones, C.
D., Marín-Spiotta, E., McCallum, I., Robertson, E., Seufert, V., Fritz,
S., Valade, A., Wiltshire, A., and Dolman, A. J.: Land management: data
availability and process understanding for global change studies, Glob.
Change Biol., 23, 512–533, https://doi.org/10.1111/GCB.13443, 2017.
Evans, J. and Geerken, R.: Discrimination between climate and human-induced
dryland degradation, J. Arid. Environ., 57, 535–554,
https://doi.org/10.1016/S0140-1963(03)00121-6, 2004.
FAO: Food and Agriculture Organization of the United Nations (FAO) [data set], https://www.fao.org/aquastat/en/, 2016.
FAO: Counting the cost: Agriculture in Syria after six years of crisis, Rome, http://www.fao.org/fileadmin/user_upload/emergencies/docs/FAO_SYRIA-counting-the-cost.pdf, 2017 (https://www.fao.org/resilience/resources/resources-detail/en/c/878213/, last access: 4 November 2020).
Fensholt, R. and Rasmussen, K.: Analysis of trends in the Sahelian
“rain-use efficiency” using GIMMS NDVI, RFE and GPCP rainfall data, Remote
Sens. Environ, 115, 438–451, https://doi.org/10.1016/J.RSE.2010.09.014,
2011.
Fensholt, R., Rasmussen, K., Kaspersen, P. S., Huber, S., Horion, S., and
Swinnen, E.: Assessing Land Degradation/Recovery in the African Sahel from
Long-Term Earth Observation Based Primary Productivity and Precipitation
Relationships, Remote Sens., 5, 664–686,
https://doi.org/10.3390/RS5020664, 2013.
Forzieri, G., Alkama, R., Miralles, D. G., and Cescatti, A.: Satellites
reveal contrasting responses of regional climate to the widespread greening
of Earth, Science, 356, 1180–1184,
https://doi.org/10.1126/SCIENCE.AAL1727, 2017.
Friedl, M. and Sulla-Menashe, D.: MCD12C1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 0.05∘ CMG, NASA LP DAAC [data set], https://doi.org/10.5067/MODIS/MCD12C1.006, 2015 (https://ladsweb.modaps.eosdis.nasa.gov).
Gleick, P. H.: Water, drought, climate change, and conflict in Syria,
Weather Clim. Soc., 6, 331–340,
https://doi.org/10.1175/WCAS-D-13-00059.1, 2014.
Harris, I. C. and Jones, P. D.: CRU TS4.03: Climatic Research Unit (CRU) Time-Series (TS) version 4.03 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901–Dec. 2018), Centre for Environmental Data Analysis [data set], 22 January 2020, https://doi.org/10.5285/10d3e3640f004c578403419aac167d82, 2020 (http://browse.ceda.ac.uk/).
Hole, F.: Drivers of unsustainable land use in the Semi-Arid Khabur River
Basin, Syria, Geogr. Res., 47, 4–14,
https://doi.org/10.1111/J.1745-5871.2008.00550.X, 2009.
Ibrahim, Y. Z., Balzter, H., Kaduk, J., and Tucker, C. J.: Land degradation
assessment using residual trend analysis of GIMMS NDVI3g, soil moisture and
rainfall in Sub-Saharan West Africa from 1982 to 2012, Remote Sens., 7,
5471–5494, https://doi.org/10.3390/RS70505471, 2015.
Jong, R. D., Verbesselt, J., Schaepman, M. E., and Bruin, S. D.: Trend
changes in global greening and browning: contribution of short-term trends
to longer-term change, Glob. Change Biol., 18, 642–655,
https://doi.org/10.1111/J.1365-2486.2011.02578.X, 2012.
Ju, J. and Masek, J. G.: The vegetation greenness trend in Canada and US
Alaska from 1984–2012 Landsat data, Remote Sens. Environ., 176, 1–16,
https://doi.org/10.1016/J.RSE.2016.01.001, 2016.
Keenan, T. F. and Riley, W. J.: Greening of the land surface in the world's
cold regions consistent with recent warming, Nat. Clim. Change, 8,
825–828, https://doi.org/10.1038/S41558-018-0258-Y, 2018.
Kelley, C. P., Mohtadi, S., Cane, M. A., Seager, R., and Kushnir, Y.:
Climate change in the Fertile Crescent and implications of the recent Syrian
drought, P. Natl. Acad. Sci. USA, 112, 3241–3246,
https://doi.org/10.1073/PNAS.1421533112, 2015.
Leroux, L., Bégué, A., Seen, D. L., Jolivot, A., and Kayitakire, F.:
Driving forces of recent vegetation changes in the Sahel: Lessons learned
from regional and local level analyses, Remote Sens. Environ., 191, 38–54,
https://doi.org/10.1016/J.RSE.2017.01.014, 2017.
Li, X. Y., Li, X., Fan, Z., Mi, L., Kandakji, T., Song, Z., Li, D., and
Song, X. P.: Civil war hinders crop production and threatens food security
in Syria, Nature Food, 3, 38–46, https://doi.org/10.1038/s43016-021-00432-4, 2022
Li, Y., Piao, S., Li, L. Z. X., Chen, A., Wang, X., Ciais, P., Huang, L.,
Lian, X., Peng, S., Zeng, Z., Wang, K., and Zhou, L.: Divergent hydrological
response to large-scale afforestation and vegetation greening in China, Sci.
Adv., 4, eaar4182, https://doi.org/10.1126/SCIADV.AAR4182, 2018.
Mason, M.: Climate change and conflict in the Middle East, Int. J. Middle
East Stud., 51, 626–628, https://doi.org/10.1017/S0020743819000709, 2019.
Meyfroidt, P., Lambin, E. F., Erb, K.-H., and Hertel, T. W.: Globalization
of land use: distant drivers of land change and geographic displacement of
land use, Curr. Opin. Environ. Sustain., 5, 438–444,
https://doi.org/10.1016/J.COSUST.2013.04.003, 2013.
Mohammed, S. A., Alkerdi, A., Nagy, J., and Harsányi, E.: Syrian crisis
repercussions on the agricultural sector: Case study of wheat, cotton and
olives, Reg. Sci. Pract., 12, 519–537,
https://doi.org/10.1111/RSP3.12222, 2020.
Pan, N., Feng, X., Fu, B., Wang, S., Ji, F., and Pan, S.: Increasing global
vegetation browning hidden in overall vegetation greening: Insights from
time-varying trends, Remote Sens. Environ., 214, 59–72,
10.1016/j.rse.2018.05.018, 2018.
Piao, S., Wang, X., Park, T., Chen, C., Lian, X., He, Y., Bjerke, J. W.,
Chen, A., Ciais, P., and Tømmervik, H.: Characteristics, drivers and
feedbacks of global greening, Nat. Rev. Earth Environ., 1, 14–27,
https://doi.org/10.1038/S43017-019-0001-X, 2020.
Pongratz, J., Reick, C. H., Houghton, R. A., and House, J. I.: Terminology as a key uncertainty in net land use and land cover change carbon flux estimates, Earth Syst. Dynam., 5, 177–195, https://doi.org/10.5194/esd-5-177-2014, 2014.
Prestele, R., Arneth, A., Bondeau, A., de Noblet-Ducoudré, N., Pugh, T. A. M., Sitch, S., Stehfest, E., and Verburg, P. H.: Current challenges of implementing anthropogenic land-use and land-cover change in models contributing to climate change assessments, Earth Syst. Dynam., 8, 369–386, https://doi.org/10.5194/esd-8-369-2017, 2017.
Raleigh, C., Linke, A., Hegre, H., and Karlsen, J.: Introducing ACLED: An
armed conflict location and event dataset, J. Peace Res., 47, 651–660,
https://doi.org/10.1177/0022343310378914 2010, 2010.
Ryu, Y., Berry, J. A., and Baldocchi, D. D.: What is global photosynthesis?
History, uncertainties and opportunities, Remote Sens. Environ., 223,
95–114, https://doi.org/10.1016/J.RSE.2019.01.016, 2019.
Salih, A. A. M., Baraibar, M., Mwangi, K. K., and Artan, G.: Climate change
and locust outbreak in East Africa, Nat. Clim. Change, 10, 584–585,
https://doi.org/10.1038/S41558-020-0835-8, 2020.
Schierhorn, F., Müller, D., Beringer, T., Prishchepov, A. V., Kuemmerle,
T., and Balmann, A.: Post-Soviet cropland abandonment and carbon
sequestration in European Russia, Ukraine, and Belarus, Global Biogeochem.
Cy., 27, 1175–1185, https://doi.org/10.1002/2013GB004654, 2013.
Schimel, D., Stephens, B. B., and Fisher, J. B.: Effect of increasing
CO2 on the terrestrial carbon cycle, P. Natl. Acad. Sci. USA,
112, 436–441, https://doi.org/10.1073/PNAS.1407302112, 2015.
Stefan, S., Verena, H., Karen, F., and Jacob, B.: Global Map of Irrigation
Areas version 5. Rheinische Friedrich-Wilhelms-University, Bonn, Germany/Food and Agriculture Organization of the United Nations, Rome, Italy, 2013.
Xiao, J., Chevallier, F., Gomez, C., Guanter, L., Hicke, J. A., Huete, A.
R., Ichii, K., Ni, W., Pang, Y., Rahman, A. F., Sun, G., Yuan, W., Zhang,
L., and Zhang, X.: Remote sensing of the terrestrial carbon cycle: A review
of advances over 50 years, Remote Sens. Environ., 233, 11383,
https://doi.org/10.1016/J.RSE.2019.111383, 2019.
Yuan, W., Zheng, Y., Piao, S., Ciais, P., Lombardozzi, D., Wang, Y., Ryu,
Y., Chen, G., Dong, W., Hu, Z., Jain, A. K., Jiang, C., Kato, E., Li, S.,
Lienert, S., Liu, S., Nabel, J. E. M. S., Qin, Z., Quine, T., Sitch, S.,
Smith, W. K., Wang, F., Wu, C., Xiao, Z., and Yang, S.: Increased
atmospheric vapor pressure deficit reduces global vegetation growth, Sci.
Adv., 5, eaax1396, https://doi.org/10.1126/SCIADV.AAX1396, 2019.
Zhang, Y., Song, C., Band, L. E., Sun, G., and Li, J.: Reanalysis of global
terrestrial vegetation trends from MODIS products: Browning or greening?,
Remote Sens. Environ., 191, 145–155,
https://doi.org/10.1016/J.RSE.2016.12.018, 2017.
Zhu, Z., Piao, S., Myneni, R. B., Huang, M., Zeng, Z., Canadell, J. G.,
Ciais, P., Sitch, S., Friedlingstein, P., Arneth, A., Cao, C., Cheng, L.,
Kato, E., Koven, C., Li, Y., Lian, X., Liu, Y., Liu, R., Mao, J., Pan, Y.,
Peng, S., Peñuelas, J., Poulter, B., Pugh, T. A. M., Stocker, B. D.,
Viovy, N., Wang, X., Wang, Y., Xiao, Z., Yang, H., Zaehle, S., and Zeng, N.:
Greening of the Earth and its drivers, Nat. Clim. Change, 6, 791–795,
https://doi.org/10.1038/NCLIMATE3004, 2016.
Short summary
Currently people are very concerned about vegetation changes and their driving factors, including natural and anthropogenic drivers. In this study, a general browning trend is found in Syria during 2001–2018, indicated by the vegetation index. We found that land management caused by social unrest is the main cause of this browning phenomenon. The mechanism initially reported here highlights the importance of land management impacts at the regional scale.
Currently people are very concerned about vegetation changes and their driving factors,...
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