Articles | Volume 20, issue 16
https://doi.org/10.5194/bg-20-3395-2023
© Author(s) 2023. 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-20-3395-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Anthropogenic activities significantly increase annual greenhouse gas (GHG) fluxes from temperate headwater streams in Germany
Ricky Mwangada Mwanake
Institute for Meteorology and
Climate Research, Atmospheric Environmental Research (IMK-IFU),
Karlsruhe Institute of Technology, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Gretchen Maria Gettel
Department of Environmental Resources, IHE Delft Institute for Water Education, Westvest 7, 2611 AX Delft, the
Netherlands
Department of Ecoscience, Lake Ecology, Aarhus University, C. F. Møllers Allé 1110, 8000 Aarhus, Denmark
Elizabeth Gachibu Wangari
Institute for Meteorology and
Climate Research, Atmospheric Environmental Research (IMK-IFU),
Karlsruhe Institute of Technology, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Clarissa Glaser
Center for Applied Geoscience, University of Tübingen,
Schnarrenbergstraße 94–96, 72076 Tübingen, Germany
Tobias Houska
Institute for Landscape Ecology and Resources Management (ILR),
Research Centre for Biosystems, Land Use and Nutrition (iFZ),
Justus Liebig University Giessen, Heinrich-Buff-Ring 26, 35392 Giessen, Germany
Lutz Breuer
Institute for Landscape Ecology and Resources Management (ILR),
Research Centre for Biosystems, Land Use and Nutrition (iFZ),
Justus Liebig University Giessen, Heinrich-Buff-Ring 26, 35392 Giessen, Germany
Centre for International Development and Environmental Research (ZEU),
Justus Liebig University Giessen, Senckenbergstraße 3, 35390 Giessen,
Germany
Klaus Butterbach-Bahl
Institute for Meteorology and
Climate Research, Atmospheric Environmental Research (IMK-IFU),
Karlsruhe Institute of Technology, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Pioneer Center Land-CRAFT, Department of Agroecology, University of
Aarhus, C. F. Møllers Allé 4, 8000 Aarhus, Denmark
Institute for Meteorology and
Climate Research, Atmospheric Environmental Research (IMK-IFU),
Karlsruhe Institute of Technology, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
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Cited articles
Aho, K. S. and Raymond, P. A.: Differential response of greenhouse gas
evasion to storms in forested and wetland streams, J. Geophys.
Res.-Biogeo., 124, 649–662,
https://doi.org/10.1029/2018JG004750, 2019.
Aho, K. S., Fair, J. H., Hosen, J. D., Kyzivat, E. D., Logozzo, L. A.,
Rocher-Ros, G., Weber, L. C., Yoon, B., and Raymond, P. A.: Distinct
concentration-discharge dynamics in temperate streams and rivers: CO2
exhibits chemostasis while CH4 exhibits source limitation due to temperature
control, Limnol. Oceanogr., 66, 3656–3668,
https://doi.org/10.1002/lno.11906, 2021.
Aho, K. S., Fair, J. H., Hosen, J. D., Kyzivat, E. D., Logozzo, L. A.,
Weber, L. C., Yoon, B., Zarnetske, J. P., and Raymond, P. A.: An intense
precipitation event causes a temperate forested drainage network to shift
from N2O source to sink, Limnol. Oceanogr., 67, S242–S257,
https://doi.org/10.1002/lno.12006, 2022.
Allen, G. H. and Pavelsky, T. M.: Global extent of rivers and streams, Science, 361, 585–588, https://doi.org/10.1126/science.aat0636, 2018.
Attermeyer, K., Casas-Ruiz, J. P., Fuss, T., Pastor, A., Cauvy-Fraunié,
S., Sheath, D., Nydahl, A. C., Doretto, A., Portela, A. P., Doyle, B. C., and
Simov, N.: Carbon dioxide fluxes increase from day to night across European
streams, Commun. Earth Environ., 2, 118,
https://doi.org/10.1038/s43247-021-00192-w, 2021.
Audet, J., Bastviken, D., Bundschuh, M., Buffam, I., Feckler, A.,
Klemedtsson, L., Laudon, H., Löfgren, S., Natchimuthu, S., Öquist,
M., Peacock, M., and Wallin, M. B.: Forest streams are important sources
for nitrous oxide emissions, Glob. Change Biol., 26, 629–641,
https://doi.org/10.1111/gcb.14812, 2019.
Battin, T. J., Kaplan, L. A., Findlay, S., Hopkinson, C. S., Marti, E.,
Packman, A. I., Newbold, J. D., and Sabater, F.: Biophysical controls on
organic carbon fluxes in fluvial networks, Nat. Geosci., 1, 95–100,
https://doi.org/10.1038/ngeo101, 2008.
Battin, T. J., Lauerwald, R., Bernhardt, E. S., Bertuzzo, E., Gener, L. G., Hall Jr., R. O., Hotchkiss, E. R., Maavara, T., Pavelsky, T. M., Ran, L., and Raymond, P.: River ecosystem metabolism and carbon biogeochemistry in a changing world, Nature, 613, 449–459, https://doi.org/10.1038/s41586-022-05500-8, 2023.
Baulch, H. M., Dillon, P. J., Maranger, R., and Schiff, S. L.: Diffusive
and ebullitive transport of methane and nitrous oxide from streams: Are
bubble-mediated fluxes important?, J. Geophys. Res.-Biogeo., 116, G4, https://doi.org/10.1029/2011JG001656, 2011a.
Baulch, H. M., Schiff, S. L., Maranger, R., and Dillon, P. J.: Nitrogen
enrichment and the emission of nitrous oxide from streams, Global
Biogeochem. Cy., 25, 4, https://doi.org/10.1029/2011GB004047, 2011b.
Beaulieu, J. J., Arango, C. P., and Tank, J. L.: The effects of season and
agriculture on nitrous oxide production in headwater streams, J.
Environ. Qual., 38, 637–646, https://doi.org/10.2134/jeq2008.0003, 2009.
Begum, M. S., Bogard, M. J., Butman, D. E., Chea, E., Kumar, S., Lu, X., Nayna,
O. K., Ran, L., Richey, J. E., Tareq, S. M., and Xuan, D. T.: Localized pollution
impacts on greenhouse gas dynamics in three anthropogenically modified Asian
river systems, J. Geophys. Res.-Biogeo., 126,
2020JG006124, https://doi.org/10.1029/2020JG006124, 2021.
Bodmer, P., Heinz, M., Pusch, M., Singer, G., and Premke, K.: Carbon
dynamics and their link to dissolved organic matter quality across
contrasting stream ecosystems, Sci. Total Environ., 553,
574–586, https://doi.org/10.1016/j.scitotenv.2016.02.095, 2016.
Bolleter, W. T., Bushman, C. J., and Tidwell, P. W.: Spectrophotometric
determination of ammonia as indophenol, Anal. Chem., 33, 592–594,
https://doi.org/10.1021/ac60172a034, 1961.
Borges, A. V., Darchambeau, F., Teodoru, C. R., Marwick, T. R., Tamooh, F.,
Geeraert, N., Omengo, F.O., Guérin, F., Lambert, T., Morana, C., and
Okuku, E.: Globally significant greenhouse-gas emissions from African inland
waters, Nat. Geosci., 8, 637–642, https://doi.org/10.1038/ngeo2486,
2015.
Borges, A. V., Darchambeau, F., Lambert, T., Bouillon, S., Morana, C.,
Brouyère, S., Hakoun, V., Jurado, A., Tseng, H.C., Descy, J. P., and
Roland, F. A.: Effects of agricultural land use on fluvial carbon dioxide,
methane and nitrous oxide concentrations in a large European river, the
Meuse (Belgium), Sci. Total Environ., 610/611, 342–355,
https://doi.org/10.1016/j.scitotenv.2017.08.047, 2018.
Borges, A. V., Darchambeau, F., Lambert, T., Morana, C., Allen, G. H., Tambwe,
E., Toengaho Sembaito, A., Mambo, T., Nlandu Wabakhangazi, J., Descy, J. P.,
and Teodoru, C. R.: Variations in dissolved greenhouse gases (CO2, CH4, N2O)
in the Congo river network overwhelmingly driven by fluvial-wetland
connectivity, Biogeosciences, 16, 3801–3834,
https://doi.org/10.5194/bg-16-3801-2019, 2019.
Crawford, J. T., Dornblaser, M. M., Stanley, E. H., Clow, D. W., and
Striegl, R. G.: Source limitation of carbon gas emissions in high-elevation
mountain streams and lakes, J. Geophys. Res.-Biogeo., 120, 952–964, https://doi.org/10.1002/2014JG002861, 2015.
Deirmendjian, L., Anschutz, P., Morel, C., Mollier, A., Augusto, L.,
Loustau, D., Cotovicz Jr., L.C., Buquet, D., Lajaunie, K., Chaillou, G., and
Voltz, B.: Importance of the vegetation-groundwater-stream continuum to
understand transformation of biogenic carbon in aquatic systems – A case
study based on a pine-maize comparison in a lowland sandy watershed (Landes
de Gascogne, SW France), Sci. Total Environ., 661, 613–629,
https://doi.org/10.1016/j.scitotenv.2019.01.152, 2019.
Dinsmore, K. J., Wallin, M. B., Johnson, M. S., Billett, M. F., Bishop, K.,
Pumpanen, J., and Ojala, A.: Contrasting CO2 concentration discharge
dynamics in headwater streams: A multi-catchment comparison, J.
Geophys. Res.-Biogeo., 118, 445–461,
https://doi.org/10.1002/jgrg.20047, 2013.
Drake, T. W., Raymond, P. A., and Spencer, R. G.: Terrestrial carbon inputs
to inland waters: A current synthesis of estimates and
uncertainty, Limnol. Oceanogr. Lett., 3, 132–142,
https://doi.org/10.1002/lol2.10055, 2018.
Galantini, L., Lapierre, J. F., and Maranger, R.: How are greenhouse gases
coupled across seasons in a large temperate river with differential land
use?, Ecosystems, 24, 2007–2027,
2021.
Gomez-Gener, L., Rocher-Ros, G., Battin, T., Cohen, M. J., Dalmagro, H. J.,
Dinsmore, K. J., Drake, T. W., Duvert, C., Enrich-Prast, A., Horgby, Å.,
and Johnson, M. S.: Global carbon dioxide efflux from rivers enhanced by
high nocturnal emissions, Nat. Geosci., 14, 289–294,
https://doi.org/10.1038/A41561-021-00722-3, 2021.
Glaser, C., Schwientek, M., Junginger, T., Gilfedder, B. S., Frei, S.,
Werneburg, M., Zwiener, C., and Zarfl, C.: Comparison of environmental
tracers including organic micropollutants as groundwater exfiltration
indicators into a small river of a karstic catchment, Hydrol.
Process., 34, 4712–4726, https://doi.org/10.1002/hyp.13909, 2020.
Gore, J. A.: Discharge measurements and streamflow analysis, in: Methods in stream ecology, edited by: Hauer, F. R.
and Lamberti, G. A., 2nd Edn., Chap. 3,
51–77, Cambridge, MA, Academic Press,
https://doi.org/10.1016/B978-012332908-0.50005-X, 2007.
Hall Jr., R. O. and Ulseth, A. J.: Gas exchange in streams and
rivers, Wiley Interdisciplinary Reviews: Water, 7, e1391,
https://doi.org/10.1002/wat2.1391, 2020.
Herreid, A. M., Wymore, A. S., Varner, R. K., Potter, J. D., and McDowell,
W. H.: Divergent controls on stream greenhouse gas concentrations across a
land-use gradient, Ecosystems, 24, 1299–1316,
https://doi.org/10.1007/A10021-020-00584-7, 2021.
Holtan-Hartwig, L., Dörsch, P., and Bakken, L. R.: Low temperature
control of soil denitrifying communities: kinetics of N2O production and
reduction, Soil Biol. Biochem., 34, 1797–1806,
https://doi.org/10.1016/S0038-0717(02)00169-4, 2002.
Horgby, Å., Boix Canadell, M., Ulseth, A. J., Vennemann, T. W., and
Battin, T. J.: High-resolution spatial sampling identifies groundwater as
driver of CO2 dynamics in an Alpine stream network, J. Geophys.
Res.-Biogeo., 124, 1961–1976,
https://doi.org/10.1029/2019JG005047, 2019.
Hotchkiss, E. R., Hall Jr., R. O., Sponseller, R. A., Butman, D., Klaminder,
J., Laudon, H., Rosvall, M., and Karlsson, J.: Sources of and processes
controlling CO2 emissions change with the size of streams and rivers, Nat.
Geosci., 8, 696–699, https://doi.org/10.1038/ngeo2507, 2015.
Hu, M., Chen, D., and Dahlgren, R. A.: Modeling nitrous oxide emission from
rivers: a global assessment, Glob. Change Biol., 22, 3566–3582,
https://doi.org/10.1111/gcb.13351, 2016.
IPCC (Intergovernmental Panel on Climate Change): Climate change 2013–the
physical science basis: Working group I contribution to the fifth assessment
report of the Intergovernmental Panel on Climate Change, Cambridge:
Cambridge University Press, https://doi.org/10.1017/CBO9781107415324, 2014.
Kuhn, C., Bettigole, C., Glick, H. B., Seegmiller, L., Oliver, C. D., and
Raymond, P.: Patterns in stream greenhouse gas dynamics from mountains to
plains in northcentral Wyoming, J. Geophys. Res.-Biogeo., 122, 2173–2190, https://doi.org/10.1002/2017JG003906, 2017.
Lambert, T., Bouillon, S., Darchambeau, F., Morana, C., Roland, F. A. E.,
Descy, J., and Borges, A. V.: Effects of human land use on the terrestrial
and aquatic sources of fluvial organic matter in a temperate river basin
(The Meuse River, Belgium), Biogeochemistry, 136, 191–211,
2017.
Li, M., Peng, C., Zhang, K., Xu, L., Wang, J., Yang, Y., Li, P., Liu, Z.,
and He, N.: Headwater stream ecosystem: an important source of greenhouse
gases to the atmosphere, Water Res., 190, 116738,
https://doi.org/10.1016/j.watres.2020.116738, 2021.
Marescaux, A., Thieu, V., and Garnier, J.: Carbon dioxide, methane and
nitrous oxide emissions from the human-impacted Seine watershed in
France, Sci. Total Environ., 643, 247–259,
https://doi.org/10.1016/j.scitotenv.2018.06.151, 2018.
McDowell, M. J. and Johnson, M. S.: Gas transfer velocities evaluated
using carbon dioxide as a tracer show high streamflow to be a major driver
of total CO2 evasion flux for a headwater stream, J. Geophys.
Res.-Biogeo., 123, 2183–2197,
https://doi.org/10.1029/2018JG004388, 2018.
Mwanake, R. M., Gettel, G. M., Aho, K. S., Namwaya, D. W., Masese, F. O.,
Butterbach-Bahl, K., and Raymond, P. A.: Land use, not stream order,
controls N2O concentration and flux in the upper Mara River basin, Kenya,
J. Geophys. Res.-Biogeo., 124, 3491–3506,
https://doi.org/10.1029/2019jg005063, 2019.
Mwanake, R. M., Gettel, G. M., Ishimwe, C., Wangari, E. G., Butterbach-Bahl,
K., and Kiese, R.: Basin-scale estimates of greenhouse gas emissions from
the Mara River, Kenya: Importance of discharge, stream size, and land
use/land cover, Limnol. Oceanogr., 67, 1776–1793,
https://doi.org/10.1002/lno.12166, 2022.
Mwanake, R. M., Gettel, G. M., Wangari, E. G., Butterbach-Bahl, K., and Kiese, R.: Interactive effects of catchment mean water residence time and agricultural area on water physico-chemical variables and GHG saturations in headwater streams, Front. Water, 5, 1220544, https://doi.org/10.3389/frwa.2023.1220544, 2023.
O'Donnell, J. A., Aiken, G. R., Kane, E. S., and Jones, J. B.: Source water
controls on the character and origin of dissolved organic matter in streams
of the Yukon River basin, Alaska, J. Geophys. Res.-Biogeo., 115, G3, https://doi.org/10.1029/2009JG001153, 2010.
Park, J. H., Nayna, O. K., Begum, M. S., Chea, E., Hartmann, J., Keil, R. G.,
Kumar, S., Lu, X., Ran, L., Richey, J. E., and Sarma, V. V.: Reviews and
syntheses: Anthropogenic perturbations to carbon fluxes in Asian river
systems – concepts, emerging trends, and research
challenges, Biogeosciences, 15, 3049–3069,
https://doi.org/10.5194/bg-15-3049-2018, 2018.
Patton, C. J. and Kryskalla, J. R.: Colorimetric determination of nitrate
plus nitrite in water by enzymatic reduction, automated discrete analyzer
methods, US Geological Survey, Techniques and Methods, Book 5, 34 pp.,
https://doi.org/10.3133/tm5B8, 2011.
Peacock, M., Granath, G., Wallin, M. B., Högbom, L., and Futter, M. N.:
Significant Emissions From Forest Drainage Ditches – An Unaccounted Term in
Anthropogenic Greenhouse Gas Inventories?, J. Geophys. Res.-Biogeo., 126, 10, https://doi.org/10.1029/2021JG006478, 2021a.
Peacock, M., Audet, J., Bastviken, D., Futter, M. N., Gauci, V., Grinham, A.,
Harrison, J. A., Kent, M. S., Kosten, S., Lovelock, C. E., and Veraart, A. J.:
Global importance of methane emissions from drainage ditches and
canals, Environ. Res. Lett., 16, 044010,
https://doi.org/10.1088/1748-9326/abeb36, 2021b.
Quick, A. M., Reeder, W. J., Farrell, T. B., Tonina, D., Feris, K. P., and
Benner, S. G.: Nitrous oxide from streams and rivers: A review of primary
biogeochemical pathways and environmental variables, Earth-Sci.
Rev., 191, 224–262, https://doi.org/10.1016/j.earscirev.2019.02.021,
2019.
Raymond, P. A., Zappa, C. J., Butman, D., Bott, T. L., Potter, J., Mulholland,
P., Laursen, A. E., McDowell, W. H., and Newbold, D.: Scaling the gas transfer
velocity and hydraulic geometry in streams and small rivers, Limnol.
Oceanogr., 2, 41–53, https://doi.org/10.1215/21573689-1597669, 2012.
Reay, D. S., Smith, K. A., and Edwards, A. C.: Nitrous oxide emission from
agricultural drainage waters, Glob. Change Biol., 9, 195–203,
https://doi.org/10.1046/j.1365-2486.2003.00584.x, 2003.
Rocher-Ros, G., Sponseller, R. A., Lidberg, W., Mörth, C. M., and
Giesler, R.: Landscape process domains drive patterns of CO2 evasion from
river networks, Limnol. Oceanogr. Lett., 4, 87–95,
https://doi.org/10.1002/lol2.10108, 2019.
Schade, J. D., Bailio, J., and McDowell, W. H.: Greenhouse gas flux from
headwater streams in New Hampshire, USA: Patterns and drivers, Limnol.
Oceanogr., 61, 165–17, https://doi.org/10.1002/lno.10337, 2016.
Schrier-Uijl, A. P., Veraart, A. J., Leffelaar, P. A., Berendse, F., and
Veenendaal, E. M.: Release of CO2 and CH4 from lakes and drainage ditches in
temperate wetlands, Biogeochemistry, 102, 265–279,
https://doi.org/10.1007/A10533-010-9440-7, 2011.
Schumacker, R. E. and Lomax, R. G.: A Beginner's Guide to Structural
Equation Modeling, 4th Edn., New York, Routledge, https://doi.org/10.4324/9781315749105, 2015.
Sebestyen, S. D., Boyer, E. W., Shanley, J. B., Kendall, C., Doctor, D. H.,
Aiken, G. R., and Ohte, N.: Sources, transformations, and hydrological
processes that control stream nitrate and dissolved organic matter
concentrations during snowmelt in an upland forest, Water Resour.
Res., 44, 12, https://doi.org/10.1029/2008WR006983, 2008.
Shelley, F., Grey, J., and Trimmer, M.: Widespread methanotrophic primary
production in lowland chalk rivers, Proc. Roy. Soc. B, 281, 1783, https://doi.org/10.1098/rspb.2013.2854,
2014.
Stanley, E. H, Casson, N. J., Christel, S. T., Crawford, J. T., Loken, L.
C., and Oliver, S. K.: The ecology of methane in streams and rivers:
patterns, controls, and global significance, Ecol. Monogr., 86,
146–171, https://doi.org/10.1890/15-1027, 2016.
Strahler, A. N.: Hypsometric (area-altitude) analysis of erosional
topography, GSA Bull., 63, 1117–1142,
https://doi.org/10.1130/0016-7606(1952)63[1117:HAAOET]2.0.CO;2, 1952.
Turner, P. A., Griffis, T. J., Lee, X., Baker, J. M., Venterea, R. T., and
Wood, J. D.: Indirect nitrous oxide emissions from streams within the US
Corn Belt scale with stream order, P. Natl. Acad.
Sci. USA, 112, 9839–9843, https://doi.org/10.1073/pnas.1503598112, 2015.
Wallin, M. B., Campeau, A., Audet, J., Bastviken, D., Bishop, K., Kokic, J.,
Laudon, H., Lundin, E., Löfgren, S., Natchimuthu, S., and Sobek, S.:
Carbon dioxide and methane emissions of Swedish low-order streams – A
national estimate and lessons learnt from more than a decade of
observations, Limnol. Oceanogr., 3, 156–167,
https://doi.org/10.1002/lol2.10061, 2018.
Wallin, M. B., Audet, J., Peacock, M., Sahlée, E., and Winterdahl, M.:
Carbon dioxide dynamics in an agricultural headwater stream driven by
hydrology and primary production, Biogeosciences, 17, 2487–2498,
https://doi.org/10.5194/bg-17-2487-2020, 2020.
Wang, D., Ye, W., Wu, G., Li, R., Guan, Y., Zhang, W., Wang, J., Shan, Y.,
and Hubacek, K.: Greenhouse gas emissions from municipal wastewater treatment
facitlities in China from 2006 to 2019, Sci. Data, 9, 317,
https://doi.org/10.1038/s41597-022-01439-7, 2022.
Wangari, E. G., Mwanake, R. M., Kraus, D., Werner, C., Gettel, G. M., Kiese,
R., Breuer, L., Butterbach-Bahl, K., and Houska, T.: Number of chamber
measurement locations for accurate quantification of landscape-scale
greenhouse gas fluxes: Importance of land use, seasonality, and greenhouse
gas type, J. Geophys. Res.-Biogeo., 127, 9,
https://doi.org/10.1029/2022JG006901, 2022.
Winkler, K., Fuchs, R., Rounsevell, M., and Herold, M.: Global land use
changes are four times greater than previously estimated, Nat.
Commun., 12, 1–10, 2021.
Zhang, L., Xia, X., Liu, S., Zhang, S., Li, S., Wang, J., Wang, G., Gao, H.,
Zhang, Z., Wang, Q., and Wen, W.: Significant methane ebullition from alpine
permafrost rivers on the East Qinghai–Tibet Plateau, Nat. Geosci., 13,
349–354, 2020.
Zhang, W., Li, H., Xiao, Q., and Li, X.: Urban rivers are hotspots of
riverine greenhouse gas (N2O, CH4, CO2) emissions in the mixed-landscape
chaohu lake basin, Water Res., 189, 116624,
https://doi.org/10.1016/j.watres.2020.116624, 2021.
Zhou, J., Liu, G., Meng, Y., Xia, C., Chen, K., and Chen, Y.: Using stable
isotopes as tracer to investigate hydrological condition and estimate water
residence time in a plain region, Chengdu, China, Sci. Rep., 11,
1–12, https://doi.org/10.1038/s41598-021-82349-3, 2021.
Short summary
Despite occupying <1 %; of the globe, streams are significant sources of greenhouse gas (GHG) emissions. In this study, we determined anthropogenic effects on GHG emissions from streams. We found that anthropogenic-influenced streams had up to 20 times more annual GHG emissions than natural ones and were also responsible for seasonal peaks. Anthropogenic influences also altered declining GHG flux trends with stream size, with potential impacts on stream-size-based spatial upscaling techniques.
Despite occupying 1 %; of the globe, streams are significant sources of greenhouse gas (GHG)...
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