Articles | Volume 28, issue 10
https://doi.org/10.5194/hess-28-2203-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-2203-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 May 2024
Research article |
| 24 May 2024
| 24 May 2024
Multi-decadal floodplain classification and trend analysis in the Upper Columbia River valley, British Columbia
Italo Sampaio Rodrigues
CORRESPONDING AUTHOR
Department of Geography and Environment, University of Lethbridge, Lethbridge, Canada
Christopher Hopkinson
Department of Geography and Environment, University of Lethbridge, Lethbridge, Canada
Laura Chasmer
Department of Geography and Environment, University of Lethbridge, Lethbridge, Canada
Ryan J. MacDonald
Department of Geography and Environment, University of Lethbridge, Lethbridge, Canada
Suzanne E. Bayley
Department of Biological Sciences, University of Alberta, Edmonton, Canada
Brian Brisco
Canada Centre for Mapping and Earth Observation, Ottawa, Canada
deceased
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Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-189, https://doi.org/10.5194/hess-2023-189, 2023
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The research focused in a four-million-inhabitants tropical region supplied by a network of open-water reservoirs whose dry season lasts 8 months (Jun−Dec). We analysed the impact of four climate change scenarios on the evaporation rate and the associated availability (water yield distributed per year). The worst-case scenario shows that by the end of the century (2071−2099) the evaporation rate in the dry season could increase by 6 %, which would reduce the stored water by about 80 %.
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The research focused in a four-million-inhabitants tropical region supplied by a network of open-water reservoirs whose dry season lasts 8 months (Jun−Dec). We analysed the impact of four climate change scenarios on the evaporation rate and the associated availability (water yield distributed per year). The worst-case scenario shows that by the end of the century (2071−2099) the evaporation rate in the dry season could increase by 6 %, which would reduce the stored water by about 80 %.
William Quinton, Aaron Berg, Michael Braverman, Olivia Carpino, Laura Chasmer, Ryan Connon, James Craig, Élise Devoie, Masaki Hayashi, Kristine Haynes, David Olefeldt, Alain Pietroniro, Fereidoun Rezanezhad, Robert Schincariol, and Oliver Sonnentag
Hydrol. Earth Syst. Sci., 23, 2015–2039, https://doi.org/10.5194/hess-23-2015-2019, https://doi.org/10.5194/hess-23-2015-2019, 2019
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This paper synthesizes nearly three decades of eco-hydrological field and modelling studies at Scotty Creek, Northwest Territories, Canada, highlighting the key insights into the major water flux and storage processes operating within and between the major land cover types of this wetland-dominated region of discontinuous permafrost. It also examines the rate and pattern of permafrost-thaw-induced land cover change and how such changes will affect the hydrology and water resources of the region.
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Information-based uncertainty decomposition in dual-channel microwave remote sensing of soil moisture
Assessing the large-scale plant–water relations in the humid, subtropical Pearl River basin of China
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Groundwater surface water interactions and the role of phreatophytes in identifying recharge zones
Quantifying the performance of automated GIS-based geomorphological approaches for riparian zone delineation using digital elevation models
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The impact of in-canopy wind profile formulations on heat flux estimation in an open orchard using the remote sensing-based two-source model
The use of remote sensing to quantify wetland loss in the Choke Mountain range, Upper Blue Nile basin, Ethiopia
Annett Bartsch, Aleksandra Efimova, Barbara Widhalm, Xaver Muri, Clemens von Baeckmann, Helena Bergstedt, Ksenia Ermokhina, Gustaf Hugelius, Birgit Heim, and Marina Leibmann
EGUsphere, https://doi.org/10.5194/egusphere-2023-2295, https://doi.org/10.5194/egusphere-2023-2295, 2023
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Wetness gradients and landcover diversity for the entire Arctic tundra have been assessed using a novel satellite data based map. Patterns of lakes, wetlands, general soil moisture conditions and vegetation physiognomy are represented at 10 m. About 40 % of the area north of the treeline falls into three units of dry types with limited shrub growth. Wetter regions have higher landcover diversity than drier regions.
Matthias Forkel, Luisa Schmidt, Ruxandra-Maria Zotta, Wouter Dorigo, and Marta Yebra
Hydrol. Earth Syst. Sci., 27, 39–68, https://doi.org/10.5194/hess-27-39-2023, https://doi.org/10.5194/hess-27-39-2023, 2023
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The live fuel moisture content (LFMC) of vegetation canopies is a driver of wildfires. We investigate the relation between LFMC and passive microwave satellite observations of vegetation optical depth (VOD) and develop a method to estimate LFMC from VOD globally. Our global VOD-based estimates of LFMC can be used to investigate drought effects on vegetation and fire risks.
Sinan Li, Li Zhang, Jingfeng Xiao, Rui Ma, Xiangjun Tian, and Min Yan
Hydrol. Earth Syst. Sci., 26, 6311–6337, https://doi.org/10.5194/hess-26-6311-2022, https://doi.org/10.5194/hess-26-6311-2022, 2022
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Accurate estimation for global GPP and ET is important in climate change studies. In this study, the GLASS LAI, SMOS, and SMAP datasets were assimilated jointly and separately in a coupled model. The results show that the performance of joint assimilation for GPP and ET is better than that of separate assimilation. The joint assimilation in water-limited regions performed better than in humid regions, and the global assimilation results had higher accuracy than other products.
Peng Zhu and Jennifer Burney
Hydrol. Earth Syst. Sci., 26, 827–840, https://doi.org/10.5194/hess-26-827-2022, https://doi.org/10.5194/hess-26-827-2022, 2022
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Satellite data were used to disentangle water and heat stress alleviation due to irrigation. Our findings are as follows. (1) Irrigation-induced cooling was captured by satellite LST but air temperature failed. (2) Irrigation extended maize growing season duration, especially during grain filling. (3) Water and heat stress alleviation constitutes 65 % and 35 % of the irrigation benefit. (4) The crop model simulating canopy temperature better captures the irrigation benefit.
Bonan Li and Stephen P. Good
Hydrol. Earth Syst. Sci., 25, 5029–5045, https://doi.org/10.5194/hess-25-5029-2021, https://doi.org/10.5194/hess-25-5029-2021, 2021
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We found that satellite retrieved soil moisture has large uncertainty, with uncertainty caused by the algorithm being closely related to the satellite soil moisture quality. The information provided by the two main inputs is mainly redundant. Such redundant components and synergy components provided by two main inputs to the satellite soil moisture are related to how the satellite algorithm performs. The satellite remote sensing algorithms may be improved by performing such analysis.
Hailong Wang, Kai Duan, Bingjun Liu, and Xiaohong Chen
Hydrol. Earth Syst. Sci., 25, 4741–4758, https://doi.org/10.5194/hess-25-4741-2021, https://doi.org/10.5194/hess-25-4741-2021, 2021
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Using remote sensing and reanalysis data, we examined the relationships between vegetation development and water resource availability in a humid subtropical basin. We found overall increases in total water storage and surface greenness and vegetation production, and the changes were particularly profound in cropland-dominated regions. Correlation analysis implies water availability leads the variations in greenness and production, and irrigation may improve production during dry periods.
David N. Dralle, W. Jesse Hahm, K. Dana Chadwick, Erica McCormick, and Daniella M. Rempe
Hydrol. Earth Syst. Sci., 25, 2861–2867, https://doi.org/10.5194/hess-25-2861-2021, https://doi.org/10.5194/hess-25-2861-2021, 2021
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Root zone water storage capacity determines how much water can be stored belowground to support plants during periods without precipitation. Here, we develop a satellite remote sensing method to estimate this key variable at large scales that matter for management. Importantly, our method builds on previous approaches by accounting for snowpack, which may bias estimates from existing approaches. Ultimately, our method will improve large-scale understanding of plant access to subsurface water.
María P. González-Dugo, Xuelong Chen, Ana Andreu, Elisabet Carpintero, Pedro J. Gómez-Giraldez, Arnaud Carrara, and Zhongbo Su
Hydrol. Earth Syst. Sci., 25, 755–768, https://doi.org/10.5194/hess-25-755-2021, https://doi.org/10.5194/hess-25-755-2021, 2021
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Drought is a devastating natural hazard and difficult to define, detect and quantify. Global meteorological data and remote-sensing products present new opportunities to characterize drought in an objective way. In this paper, we applied the surface energy balance model SEBS to estimate monthly evapotranspiration (ET) from 2001 to 2018 over the dehesa area of the Iberian Peninsula. ET anomalies were used to identify the main drought events and analyze their impacts on dehesa vegetation.
Sheng Wang, Monica Garcia, Andreas Ibrom, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 24, 3643–3661, https://doi.org/10.5194/hess-24-3643-2020, https://doi.org/10.5194/hess-24-3643-2020, 2020
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Remote sensing only provides snapshots of rapidly changing land surface variables; this limits its application for water resources and ecosystem management. To obtain continuous estimates of surface temperature, soil moisture, evapotranspiration, and ecosystem productivity, a simple and operational modelling scheme is presented. We demonstrate it with temporally sparse optical and thermal remote sensing data from an unmanned aerial system at a Danish bioenergy plantation eddy covariance site.
Jacob S. Diamond, Daniel L. McLaughlin, Robert A. Slesak, and Atticus Stovall
Hydrol. Earth Syst. Sci., 23, 5069–5088, https://doi.org/10.5194/hess-23-5069-2019, https://doi.org/10.5194/hess-23-5069-2019, 2019
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We found evidence for spatial patterning of soil elevation in forested wetlands that was well explained by hydrology. The patterns that we found were strongest at wetter sites, and were weakest at drier sites. When a site was wet, soil elevations typically only belonged to two groups: tall "hummocks" and low "hollows. The tall, hummock groups were spaced equally apart from each other and were a similar size. We believe this is evidence for a biota–hydrology feedback that creates hummocks.
John O'Connor, Maria J. Santos, Karin T. Rebel, and Stefan C. Dekker
Hydrol. Earth Syst. Sci., 23, 3917–3931, https://doi.org/10.5194/hess-23-3917-2019, https://doi.org/10.5194/hess-23-3917-2019, 2019
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The Amazon rainforest has undergone extensive land use change, which greatly reduces the rate of evapotranspiration. Forest with deep roots is replaced by agriculture with shallow roots. The difference in rooting depth can greatly reduce access to water, especially during the dry season. However, large areas of the Amazon have a sufficiently shallow water table that may provide access for agriculture. We used remote sensing observations to compare the impact of deep and shallow water tables.
Anne J. Hoek van Dijke, Kaniska Mallick, Adriaan J. Teuling, Martin Schlerf, Miriam Machwitz, Sibylle K. Hassler, Theresa Blume, and Martin Herold
Hydrol. Earth Syst. Sci., 23, 2077–2091, https://doi.org/10.5194/hess-23-2077-2019, https://doi.org/10.5194/hess-23-2077-2019, 2019
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Satellite images are often used to estimate land water fluxes over a larger area. In this study, we investigate the link between a well-known vegetation index derived from satellite data and sap velocity, in a temperate forest in Luxembourg. We show that the link between the vegetation index and transpiration is not constant. Therefore we suggest that the use of vegetation indices to predict transpiration should be limited to ecosystems and scales where the link has been confirmed.
Olanrewaju O. Abiodun, Huade Guan, Vincent E. A. Post, and Okke Batelaan
Hydrol. Earth Syst. Sci., 22, 2775–2794, https://doi.org/10.5194/hess-22-2775-2018, https://doi.org/10.5194/hess-22-2775-2018, 2018
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In recent decades, evapotranspiration estimation has been improved by remote sensing methods as well as by hydrological models. However, comparing these methods shows differences of up to 31 % at a spatial resolution of 1 km2. Land cover differences and catchment averaged climate data in the hydrological model were identified as the principal causes of the differences in results. The implication is that water management will have to deal with large uncertainty in estimated water balances.
Shoubo Li, Yan Zhao, Yongping Wei, and Hang Zheng
Hydrol. Earth Syst. Sci., 21, 4233–4244, https://doi.org/10.5194/hess-21-4233-2017, https://doi.org/10.5194/hess-21-4233-2017, 2017
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This study aims to investigate the evolution of natural and crop vegetation systems over the past 2000 years accommodated with the changes in water regimes at the basin scale. It is based on remote-sensing data and previous historical research. The methods developed and the findings obtained from this study could assist in understanding how current ecosystem problems were created in the past and what their implications for future river basin management are.
A. A. Harpold, J. A. Marshall, S. W. Lyon, T. B. Barnhart, B. A. Fisher, M. Donovan, K. M. Brubaker, C. J. Crosby, N. F. Glenn, C. L. Glennie, P. B. Kirchner, N. Lam, K. D. Mankoff, J. L. McCreight, N. P. Molotch, K. N. Musselman, J. Pelletier, T. Russo, H. Sangireddy, Y. Sjöberg, T. Swetnam, and N. West
Hydrol. Earth Syst. Sci., 19, 2881–2897, https://doi.org/10.5194/hess-19-2881-2015, https://doi.org/10.5194/hess-19-2881-2015, 2015
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This review's objective is to demonstrate the transformative potential of lidar by critically assessing both challenges and opportunities for transdisciplinary lidar applications in geomorphology, hydrology, and ecology. We find that using lidar to its full potential will require numerous advances, including more powerful open-source processing tools, new lidar acquisition technologies, and improved integration with physically based models and complementary observations.
Y. Wang, M. L. Roderick, Y. Shen, and F. Sun
Hydrol. Earth Syst. Sci., 18, 3499–3509, https://doi.org/10.5194/hess-18-3499-2014, https://doi.org/10.5194/hess-18-3499-2014, 2014
Y. Liu, Y. Zhou, W. Ju, J. Chen, S. Wang, H. He, H. Wang, D. Guan, F. Zhao, Y. Li, and Y. Hao
Hydrol. Earth Syst. Sci., 17, 4957–4980, https://doi.org/10.5194/hess-17-4957-2013, https://doi.org/10.5194/hess-17-4957-2013, 2013
M. Gokmen, Z. Vekerdy, W. Verhoef, and O. Batelaan
Hydrol. Earth Syst. Sci., 17, 3779–3794, https://doi.org/10.5194/hess-17-3779-2013, https://doi.org/10.5194/hess-17-3779-2013, 2013
H. Liu, F. Tian, H. C. Hu, H. P. Hu, and M. Sivapalan
Hydrol. Earth Syst. Sci., 17, 805–815, https://doi.org/10.5194/hess-17-805-2013, https://doi.org/10.5194/hess-17-805-2013, 2013
T. S. Ahring and D. R. Steward
Hydrol. Earth Syst. Sci., 16, 4133–4142, https://doi.org/10.5194/hess-16-4133-2012, https://doi.org/10.5194/hess-16-4133-2012, 2012
D. Fernández, J. Barquín, M. Álvarez-Cabria, and F. J. Peñas
Hydrol. Earth Syst. Sci., 16, 3851–3862, https://doi.org/10.5194/hess-16-3851-2012, https://doi.org/10.5194/hess-16-3851-2012, 2012
P. Sun, Z. Yu, S. Liu, X. Wei, J. Wang, N. Zegre, and N. Liu
Hydrol. Earth Syst. Sci., 16, 3835–3850, https://doi.org/10.5194/hess-16-3835-2012, https://doi.org/10.5194/hess-16-3835-2012, 2012
M. Otto, D. Scherer, and J. Richters
Hydrol. Earth Syst. Sci., 15, 1713–1727, https://doi.org/10.5194/hess-15-1713-2011, https://doi.org/10.5194/hess-15-1713-2011, 2011
C. Cammalleri, M. C. Anderson, G. Ciraolo, G. D'Urso, W. P. Kustas, G. La Loggia, and M. Minacapilli
Hydrol. Earth Syst. Sci., 14, 2643–2659, https://doi.org/10.5194/hess-14-2643-2010, https://doi.org/10.5194/hess-14-2643-2010, 2010
E. Teferi, S. Uhlenbrook, W. Bewket, J. Wenninger, and B. Simane
Hydrol. Earth Syst. Sci., 14, 2415–2428, https://doi.org/10.5194/hess-14-2415-2010, https://doi.org/10.5194/hess-14-2415-2010, 2010
Cited articles
Amoros, C. and Bornette, G.: Connectivity and biocomplexity in waterbodies of riverine floodplains, Freshwater Biol., 47, 761–776, https://doi.org/10.1046/j.1365-2427.2002.00905.x, 2002.
Barger, N. N., Archer, S. R., Campbell, J. L., Huang, C. Y., Morton, J. A., and Knapp, A. K.: Woody plant proliferation in North American drylands: a synthesis of impacts on ecosystem carbon balance, J. Geophys. Res.-Biogeo., 116, G00K07, https://doi.org/10.1029/2010JG001506, 2011.
Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a warming climate on water availability in snow-dominated regions, Nature, 438, 303–309, https://doi.org/10.1038/nature04141, 2005.
Bayley, P. B.: Understanding large river: floodplain ecosystems, BioScience, 45, 153–158, https://doi.org/10.2307/1312554, 1995.
Bayley, S. E. and Guimond, J. K.: Effects of river connectivity on marsh vegetation community structure and species richness in montane floodplain wetlands in Jasper National Park, Alberta, Canada, Ecoscience, 15, 377–388, https://doi.org/10.2980/15-3-3084, 2008.
Bayley, S. E. and Guimond, J. K.: Aboveground biomass and nutrient limitation in relation to river connectivity in montane floodplain marshes, Wetlands, 29, 1243–1254, https://doi.org/10.1672/08-227.1, 2009.
BC Government: Digital Air Photos of B.C., Province of British Columbia, https://www2.gov.bc.ca/gov/content/data/geographic-data-services/digital-imagery/air-photos (last access: 15 January 2022), 2022.
Berhail, S., Ouerdachi, L., and Boutaghane, H.: The use of the recession index as indicator for components of flow, Energy Proced., 18, 741–750, https://doi.org/10.1016/j.egypro.2012.05.090, 2012.
Bonan, G. B.: Forests and climate change: forcings, feedbacks, and the climate benefits of forests, Science, 320, 1444–1449, https://doi.org/10.1126/science.1155121, 2008.
Brahney, J., Weber, F., Foord, V., Janmaat, J., and Curtis, P. J.: Evidence for a climate-driven hydrologic regime shift in the Canadian Columbia Basin, Can. Water Resour. J., 42, 179–192, https://doi.org/10.1080/07011784.2016.1268933, 2017.
Breiman, L.: Random forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001.
Brown, R. D. and Robinson, D. A.: Northern Hemisphere spring snow cover variability and change over 1922–2010 including an assessment of uncertainty, The Cryosphere, 5, 219–229, https://doi.org/10.5194/tc-5-219-2011, 2011.
Brutsaert, W. and Nieber, J. L.: Regionalized drought flow hydrographs from a mature glaciated plateau, Water Resour. Res., 13, 637–643, https://doi.org/10.1029/WR013i003p00637, 1977.
Burn, D. H.: Hydrologic effects of climatic change in west-central Canada, J. Hydrol., 160, 53–70, https://doi.org/10.1016/0022-1694(94)90033-7, 1994.
Burn, D. H., Abdul Aziz, O. I., and Pietroniro, A.: A comparison of trends in hydrological variables for two watersheds in the Mackenzie River Basin, Can. Water Resour. J., 29, 283–298, https://doi.org/10.4296/cwrj283, 2004.
Bürger, G., Schulla, J., and Werner, A. T.: Estimates of future flow, including extremes, of the Columbia River headwaters, Water Resour. Res., 47, W10520, https://doi.org/10.1029/2010WR009716, 2011.
Byers, E., Krey, V., Kriegler, E., Riahi, K., Schaeffer, R., Kikstra, J., Lamboll, R., Nicholls, Z., Sandstad, M., Smith, C., van der Wijst, K., Lecocq, F., Portugal-Pereira, J., Saheb, Y., Stromann, A., Winkler, H., Auer, C., Brutschin, E., Lepault, C., Müller-Casseres, E., Gidden, M., Huppmann, D., Kolp, P., Marangoni, G., Werning, M., Calvin, K., Guivarch, C., Hasegawa, T., Peters, G., Steinberger, J., Tavoni, M., van Vuuren, D., Al -Khourdajie, A., Forster, P., Lewis, J., Meinshausen, M., Rogelj, J., Samset, B., and Skeie, R.: AR6 scenarios database, Zenodo [data set], https://doi.org/10.5281/zenodo.7197970, 2022.
Cai, W., Borlace, S., Lengaigne, M., Rensch, P. V., Collins, M., Vecchi, G., Timmermann, A., Santoso, A., McPhaden, M. J., Wu, L., England, M. H., Wang, G., Guiyardy, E., and Jin, F. F.: Increasing frequency of extreme El Niño events due to greenhouse warming, Nat. Clim. Change, 4, 111–116, https://doi.org/10.1038/nclimate2100, 2014.
Cai, W., Santoso, A., Collins, M., Dewitte, B., Karamperidou, C., Kug, J.-S., Lengaigne, M., McPhaden, M. J., Stuecker, M. F., Taschetto, A. S., Timmermann, A., Wu, L., Yeh, S.-W., Wang, G., Ng, B., Jia, F., Yang, Y., Ying, J., Zheng, X.-T., Bayr, T., Brown, J.R., Capotondi, A., Cobb, K. M., Gan, B., Geng, T., Ham, Y.-G., Jin, F.-F., Jo, H.-S., Li, X., Lin, X., McGregor, S., Park, J.-H., Stein, K., Yang, K., Zhang, L., and Zhong, W.: Changing El Niño–Southern oscillation in a warming climate, Nat. Rev. Earth Environ., 2, 628–644, https://doi.org/10.1038/s43017-021-00199-z, 2021.
Carli, C. M. and Bayley, S. E.: River connectivity and road crossing effects on floodplain vegetation of the upper Columbia River, Canada, Ecoscience, 22, 97–107, https://doi.org/10.1080/11956860.2015.1121705, 2015.
Carver, M.: Water monitoring and climate change in the upper Columbia Basin: Summary of current status and opportunities, Golden, BC, V0A 1H0: Columbia Basin Trust, https://ourtrust.org/wp-content/uploads/downloads/WaterMonitoringandClimateChange_FullReport_2017_FINAL_Web-5.pdf (last access: 26 November 2022), 2017.
Chasmer, L., Cobbaert, D., Mahoney, C., Millard, K., Peters, D., Devito, Brisco, B., Hopkinson , C., Merchant, M., Montgomery, J. , Nelson, K., and Niemann, O.: Remote Sensing of Boreal Wetlands 1: Data Use for Policy and Management, Remote Sensing, 12, 1320, https://doi.org/10.3390/rs12081320, 2020.
Congalton, R. G. and Green, K.: Assessing the accuracy of remotely sensed data: principles and practices, CRC Press, https://doi.org/10.1201/9780429052729, 2019.
Cooper, D. J., Chimner, R. A., and Merritt, D. M.: Western Mountain wetlands University of California Press, Berkeley, CA, USA, 313–328, https://books.google.com.br/books?hl=pt-BR&lr=&id=hvS5xljxuL4C&oi=fnd&pg=PA313&dq=Western+Mountain+wetlands+University+of+California+Press,+Berkeley,+CA,+USA&ots=7_AX5blENY&sig=EKSD2zO3BHev-cPzyf90GD5aFv8#v=onepage&q&f=false (last access: 26 November 2022), 2012.
Cooper, D. J., Kaczynski, K. M., Sueltenfuss, J., Gaucherand, S., and Hazen, C.: Mountain wetland restoration: the role of hydrologic regime and plant introductions after 15 years in the Colorado Rocky Mountains, USA, Ecol. Eng., 101, 46–59, https://doi.org/10.1016/j.ecoleng.2017.01.017, 2017.
Chasmer, L. and Hopkinson, C.: Threshold loss of discontinuous permafrost and landscape evolution, Glob. Change Biol., 23, 2672–2686, https://doi.org/10.1111/gcb.13537, 2017.
Cutforth, H. W., McConkey, B. G., Woodvine, R. J., Smith, D. G., Jefferson, P. G., and Akinremi, O. O.: Climate change in the semiarid prairie of southwestern Saskatchewan: Late winter–early spring, Can. J. Plant Sci., 79, 343–350, https://doi.org/10.4141/P98-137, 1999.
DeBeer, C. M., Wheater, H. S., Carey, S. K., and Chun, K. P.: Recent climatic, cryospheric, and hydrological changes over the interior of western Canada: a review and synthesis, Hydrol. Earth Syst. Sci., 20, 1573–1598, https://doi.org/10.5194/hess-20-1573-2016, 2016.
DeBeer, C. M., Wheater, H. S., Pomeroy, J. W., Barr, A. G., Baltzer, J. L., Johnstone, J. F., Turetsky, M. R., Stewart, R. E., Hayashi, M., van der Kamp, G., Marshall, S., Campbell, E., Marsh, P., Carey, S. K., Quinton, W. L., Li, Y., Razavi, S., Berg, A., McDonnell, J. J., Spence, C., Helgason, W. D., Ireson, A. M., Black, T. A., Elshamy, M., Yassin, F., Davison, B., Howard, A., Thériault, J. M., Shook, K., Demuth, M. N., and Pietroniro, A.: Summary and synthesis of Changing Cold Regions Network (CCRN) research in the interior of western Canada – Part 2: Future change in cryosphere, vegetation, and hydrology, Hydrol. Earth Syst. Sci., 25, 1849–1882, https://doi.org/10.5194/hess-25-1849-2021, 2021.
Díaz, S., Demissew, S., Carabias, J., Joly, C., Lonsdale, M., Ash, N., Larigauderie, A., Adhikari, J. R., Arico, S., Báldi, A., Bartuska, A., Baste, I. A., Bilgin, A., Brondizio, E., Chan, K. M. A., Figueroa, V. E., Duraiappah, A., Fischer, M., Hill, R., Koetz, T., Leadley, P., Lyver, P., Mace, G. M., Martin-Lopez, B., Okumura, M., Pacheco, D., Pascual, U., Pérez, E. S., Reyers, B., Roth, E., Saito, O., Scholes, R. J., Sharma, N., Tallis, H., Thaman, R., Watson, R., Yahara, T., Hamid, Z. A., Akosim, C., Al-Hafedh, Y., Allahverdiyev, R., Amankwah, E., Asah, T. S., Asfaw, Z., Bartus, G., Brooks, A. L., Caillaux, J., Dalle, G., Darnaedi, D., Driver, A., Erpul, G., Escobar-Eyzaguirre, P., Failler, P., Fouda, A. M. M., Fu, B., Gundimeda, H., Hashimoto, S., Homer, F., Lavorel, S., Lichtenstein, G., Mala, W. A., Mandivenyi, W., Matczak, P., Mbizvo, C., Mehrdadi, M., Metzger, J. P., Mikissa, J. B., Moller, H., Mooney, H. A., Mumby, P., Nagendra, H., Nesshover, C., Oteng-Yeboah, A. A., Pataki, G., Roué, M., Rubis, J., Schultz, M., Smith, P., Sumaila, R., Takeuchi, K., Thomas, S., Verma, M., Yeo-Chang, Y., and Zlatanova, D.: The IPBES Conceptual Framework – connecting nature and people, Curr. Opin. Sust., 14, 1–16, https://doi.org/10.1016/j.cosust.2014.11.002, 2015.
Donohue, R. J., Roderick, M. L., and McVicar, T. R.: On the importance of including vegetation dynamics in Budyko's hydrological model, Hydrol. Earth Syst. Sci., 11, 983–995, https://doi.org/10.5194/hess-11-983-2007, 2007.
Edwards, T. W., Birks, S. J., Luckman, B. H., and MacDonald, G. M.: Climatic and hydrologic variability during the past millennium in the eastern Rocky Mountains and northern Great Plains of western Canada, Quaternary Res., 70, 188–197, https://doi.org/10.1016/j.yqres.2008.04.013, 2008.
Environment Canada: Historical climate data, Environment Canada, https://climate.weather.gc.ca/historical_data/search_historic_data_e.html (last access: 3 November 2022), 2022a.
Environment Canada: HYDAT database, Environment Canada, https://wateroffice.ec.gc.ca/search/historical_e.html (last access: 4 November 2022), 2022b.
Fleming, S. W. and Sauchyn, D. J.: Availability, volatility, stability, and teleconnectivity changes in prairie water supply from Canadian Rocky Mountain sources over the last millennium, Water Resour. Res., 49, 64–74, https://doi.org/10.1029/2012WR012831, 2013.
Formica, A., Farrer, E. C., Ashton, I. W., and Suding, K. N.: Shrub expansion over the past 62 years in Rocky Mountain alpine tundra: possible causes and consequences, Arct. Antarct. Alp. Res., 46, 616–631, https://doi.org/10.1657/1938-4246-46.3.616, 2014.
Foster, L. M., Bearup, L. A., Molotch, N. P., Brooks, P. D., and Maxwell, R. M.: Energy budget increases reduce mean streamflow more than snow–rain transitions: Using integrated modeling to isolate climate change impacts on Rocky Mountain hydrology, Environ. Res. Lett., 11, 044015, https://doi.org/10.1088/1748-9326/11/4/044015, 2016.
Gan, R., Liu, Q., Huang, G., Hu, K., and Li, X.: Greenhouse warming and internal variability increase extreme and central Pacific El Niño frequency since 1980, Nat. Commun., 14, 394, https://doi.org/10.1038/s41467-023-36053-7, 2023.
Genz, F. and Luz, L. D.: Distinguishing the effects of climate on discharge in a tropical river highly impacted by large dams, Hydrolog. Sci. J., 57, 1020–1034, https://doi.org/10.1080/02626667.2012.690880, 2012.
Glines, L. M.: Woody plant encroachment into grasslands within the Red Deer River drainage, Alberta, University of Alberta, https://doi.org/10.7939/R33H5V, 2012.
Gobena, A. K. and Gan, T. Y.: Low-frequency variability in Southwestern Canadian stream flow: links with large-scale climate anomalies, Int. J. Climatol., 26, 1843–1869, https://doi.org/10.1002/joc.1336, 2006.
Hansen, J., Ruedy, R., Sato, M., and Lo, K.: Global surface temperature change, Rev. Geophys., 48, 1–29, https://doi.org/10.1029/2010RG000345, 2010.
Harder, P., Pomeroy, J. W., and Westbrook, C. J.: Hydrological resilience of a Canadian Rockies headwaters basin subject to changing climate, extreme weather, and forest management, Hydrol. Process., 29, 3905–3924, https://doi.org/10.1002/hyp.10596, 2015.
Hathaway, J. M., Westbrook, C. J., Rooney, R. C., Petrone, R. M., and Langs, L. E.: Quantifying relative contributions of source waters from a subalpine wetland to downstream water bodies, Hydrol. Process., 36, e14679, https://doi.org/10.1002/hyp.14679, 2022.
Hermosilla, T., Wulder, M. A., White, J. C., and Coops, N. C.: Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes, Remote Sens. Environ., 268, 112780, https://doi.org/10.1016/j.rse.2021.112780, 2022.
Hernandez, M. E. and Mitsch, W. J.: Influence of hydrologic pulses, flooding frequency, and vegetation on nitrous oxide emissions from created riparian marshes, Wetlands, 26, 862–877, https://doi.org/10.1672/0277-5212(2006)26[862:IOHPFF]2.0.CO;2, 2006.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Hopkinson, C. and Young, G. J.: The effect of glacier wastage on the flow of the Bow River at Banff, Alberta, 1951–1993, Hydrol. Process., 12, 1745–1762, https://doi.org/10.1002/(SICI)1099-1085(199808/09)12:10/11<1745::AID-HYP692>3.0.CO;2-S, 1998.
Hopkinson, C., Fuoco, B., Grant, T., Bayley, S. E., Brisco, B., and MacDonald, R.: Wetland Hydroperiod Change Along the Upper Columbia River Floodplain, Canada, 1984 to 2019, Remote Sensing, 12, 4084, https://doi.org/10.3390/rs12244084, 2020.
Hrach, D. M., Petrone, R. M., Green, A., and Khomik, M.: Analysis of growing season carbon and water fluxes of a subalpine wetland in the Canadian Rocky Mountains: implications of shade on ecosystem water use efficiency, Hydrol. Process., 36, e14425, https://doi.org/10.1002/hyp.14425, 2022.
Hughes, F. M.: Floodplain biogeomorphology, Prog. Phys. Geog., 21, 501–529, https://doi.org/10.1177/030913339702100402, 1997.
Hussain, M. and Mahmud, I.: pyMannKendall: a python package for non parametric Mann Kendall family of trend tests, Journal of Open Source Software, 4, 1556, https://doi.org/10.21105/joss.01556, 2019.
Inglada, J., Vincent, A., Arias, M., Tardy, B., Morin, D., and Rodes, I.: Operational high resolution land cover map production at the country scale using satellite image time series, Remote Sensing, 9, 95, https://doi.org/10.3390/rs9010095 2017.
IPCC: Climate Change, Intergovernmental Panel on Climate Change Fourth Assessment Report, https://doi.org/10.1029/2005JD006713, 2007.
Jacques, J. M. S., Lapp, S. L., Zhao, Y., Barrow, E. M., and Sauchyn, D. J.: Twenty-first century central Rocky Mountain river discharge scenarios under greenhouse forcing, Quatern. Int., 310, 34–46, https://doi.org/10.1016/j.quaint.2012.06.023, 2013.
Jost, G., Moore, R. D., Menounos, B., and Wheate, R.: Quantifying the contribution of glacier runoff to streamflow in the upper Columbia River Basin, Canada, Hydrol. Earth Syst. Sci., 16, 849–860, https://doi.org/10.5194/hess-16-849-2012, 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.
Junk, W. J., Bayley, P. B., and Sparks, R. E.: The flood pulse concept in river-floodplain systems, Canadian Special Publication of Fisheries and Aquatic Sciences, 106, 110–127, 1989.
Kendall, M. G.: Rank correlation methods, London: Griffin, 160 pp., 1948.
Kienzle, S. W.: The use of the recession index as an indicator for streamflow recovery after a multi-year drought, Water Resour. Manag., 20, 991–1006, https://doi.org/10.1007/s11269-006-9019-1, 2006.
Lacoul, P. and Freedman, B.: Environmental influences on aquatic plants in freshwater ecosystems, Environ. Rev., 14, 89–136, https://doi.org/10.1139/A06-001, 2006.
Lapp, S., Byrne, J., Townshend, I., and Kienzle, S.: Climate warming impacts on snowpack accumulation in an alpine watershed, Int. J. Climatol., 25, 521–536, https://doi.org/10.1002/joc.1140, 2005.
Leppi, J. C., DeLuca, T. H., Harrar, S. W., and Running, S. W.: Impacts of climate change on August stream discharge in the Central-Rocky Mountains, Climatic Change, 112, 997–1014, https://doi.org/10.1007/s10584-011-0235-1, 2012.
Li, Z., Wang, S., and Li, J.: Spatial variations and long-term trends of potential evaporation in Canada, Sci. Rep., 10, 1–14, https://doi.org/10.1038/s41598-020-78994-9, 2020.
Linsley, B. K., Wu, H. C., Dassié, E. P., and Schrag, D. P.: Decadal changes in South Pacific sea surface temperatures and the relationship to the Pacific decadal oscillation and upper ocean heat content, Geophys. Res. Lett., 42, 2358–2366, https://doi.org/10.1002/2015GL063045, 2015.
Liu, Y. F., Cui, Z., Huang, Z., López-Vicente, M., Zhao, J., Ding, L., and Wu, G. L.: Shrub encroachment in alpine meadows increases the potential risk of surface soil salinization by redistributing soil water, Catena, 219, 106593, https://doi.org/10.1016/j.catena.2022.106593, 2022.
Loeffler, J., Anschlag, K., Baker, B., Finch, O. D., Diekkrueger, B., Wundram, D., Schröder, Pape, B., R., and Lundberg, A.: Mountain ecosystem response to global change, Erdkunde, 65, 189–213, https://www.jstor.org/stable/23030665 (last access: 25 November 2022), 2011.
Loosvelt, L., Peters, J., Skriver, H., De Baets, B., and Verhoest, N. E.: Impact of reducing polarimetric SAR input on the uncertainty of crop classifications based on the random forests algorithm, IEEE T. Geosci. Remote, 50, 4185–4200, https://doi.org/10.1109/TGRS.2012.2189012, 2012.
Lopez, H. and Kirtman, B. P.: ENSO influence over the Pacific North American sector: Uncertainty due to atmospheric internal variability, Clim. Dynam., 52, 6149–6172, https://doi.org/10.1007/s00382-018-4500-0, 2019.
Lottig, N. R., Buffam, I., and Stanley, E. H.: Comparisons of wetland and drainage lake influences on stream dissolved carbon concentrations and yields in a north temperate lake-rich region, Aquat. Sci., 75, 619–630, https://doi.org/10.1007/s00027-013-0305-8, 2013.
McCaffrey, D. R. and Hopkinson, C.: Modelling Watershed-Scale Historic Change in the Alpine Treeline Ecotone Using Random Forest, Can. J. Remote Sens., 46, 715–732, https://doi.org/10.1080/07038992.2020.1865792, 2020.
MacDonald, R. and Chernos, M.: Hydrological Assessment of the Upper Columbia River Watershed, MacHydro Consultants Ltd., Cranbrook, BC, Canada, 64, https://wetlandstewards.eco/wp-content/uploads/2020/02/CWSP_Hydrology-CV-Watershed-Report_Final-Jan-31-2020.pdf (last access: 30 November 2022), 2020.
MacDonald, G. M., Edwards, T. W., Moser, K. A., Pienitz, R., and Smol, J. P.: Rapid response of treeline vegetation and lakes to past climate warming, Nature, 361, 243–246, https://doi.org/10.1038/361243a0, 1993.
Mahdianpari, M., Salehi, B., Mohammadimanesh, F., and Brisco, B.: An assessment of simulated compact polarimetric SAR data for wetland classification using random forest algorithm, Can. J. Remote Sens., 43, 468–484, https://doi.org/10.1080/07038992.2017.1381550, 2017.
Mann, H. B.: Nonparametric tests against trend. Econometrica, Journal of the Econometric Society, 13, 245–259, 1945.
Mantua, N. J. and Hare, S. R.: The Pacific decadal oscillation, J. Oceanogr., 58, 35–44, https://doi.org/10.1023/A:1015820616384, 2002.
Marshall, S. J.: Meltwater run-off from Haig Glacier, Canadian Rocky Mountains, 2002–2013, Hydrol. Earth Syst. Sci., 18, 5181–5200, https://doi.org/10.5194/hess-18-5181-2014, 2014.
Menze, B. H., Kelm, B. M., Masuch, R., Himmelreich, U., Bachert, P., Petrich, W., and Hamprecht, F. A.: A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data, BMC Bioinformatics, 10, 1–16, https://doi.org/10.1186/1471-2105-10-213, 2009.
Millar, D. J., Cooper, D. J., and Ronayne, M. J.: Groundwater dynamics in mountain peatlands with contrasting climate, vegetation, and hydrogeological setting, J. Hydrol., 561, 908–917, https://doi.org/10.1016/j.jhydrol.2018.04.050, 2018.
Millard, K. and Richardson, M.: On the importance of training data sample selection in random forest image classification: A case study in peatland ecosystem mapping, Remote Sensing, 7, 8489–8515, https://doi.org/10.3390/rs70708489, 2015.
Mitch, W. J. and Gosselink, J. G.: Wetlands, John Wiley & Sons, 3rd edn., ISBN 9780471699675, 2000.
Montgomery, J. S., Hopkinson, C., Brisco, B., Patterson, S., and Rood, S. B.: Wetland hydroperiod classification in the western prairies using multitemporal synthetic aperture radar, Hydrol. Process., 32, 1476–1490, https://doi.org/10.1002/hyp.11506, 2018.
Mote, P. W., Hamlet, A. F., Clark, M. P., and Lettenmaier, D. P.: Declining mountain snowpack in western North America, B. Am. Meteorol. Soc., 86, 39–50, https://doi.org/10.1175/BAMS-86-1-39, 2005.
Muro, J., Varea, A., Strauch, A., Guelmami, A., Fitoka, E., Thonfeld, F., Thonfeld, B. Diekkrüger, and Waske, B.: Multitemporal optical and radar metrics for wetland mapping at national level in Albania, Heliyon, 6, e04496, https://doi.org/10.1016/j.heliyon.2020.e04496, 2020.
Musselman, K. N., Lehner, F., Ikeda, K., Clark, M. P., Prein, A. F., Liu, C., Barlage, M., and Rasmussen, R.: Projected increases and shifts in rain-on-snow flood risk over western North America, Nat. Clim. Change, 8, 808–812, https://doi.org/10.1038/s41558-018-0236-4, 2018.
Newton, B. W., Prowse, T. D., and Bonsal, B. R.: Evaluating the distribution of water resources in western Canada using synoptic climatology and selected teleconnections. Part 2: Summer season, Hydrol. Process., 28, 4235–4249, https://doi.org/10.1002/hyp.10235, 2014.
Ohmura, A. and Wild, M.: Is the hydrological cycle accelerating?, Science, 298, 1345–1346, https://doi.org/10.1126/science.1078972, 2002.
Owens, M. K., Lyons, R. K., and Alejandro, C. L.: Rainfall partitioning within semiarid juniper communities: effects of event size and canopy cover, Hydrol. Process., 20, 3179–3189, https://doi.org/10.1002/hyp.6326, 2006.
Pellerin, S., Lavoie, M., Boucheny, A., Larocque, M., and Garneau, M.: Recent vegetation dynamics and hydrological changes in bogs located in an agricultural landscape, Wetlands, 36, 159–168, https://doi.org/10.1007/s13157-015-0726-3, 2016.
Pelletier, C., Valero, S., Inglada, J., Champion, N., and Dedieu, G.: Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas, Remote Sens. Environ., 187, 156–168, https://doi.org/10.1016/j.rse.2016.10.010, 2016.
Politti, E., Egger, G., Angermann, K., Rivaes, R., Blamauer, B., Klösch, M., Tritthart, M., and Habersack, H.: Evaluating climate change impacts on Alpine floodplain vegetation, Hydrobiologia, 737, 225–243, https://doi.org/10.1007/s10750-013-1801-5, 2014.
Pörtner, H. O., Roberts, D. C., Masson-Delmotte, V., Zhai, P., Tignor, M., Poloczanska, E., and Weyer, N. M.: The ocean and cryosphere in a changing climate, IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, https://doi.org/10.1017/9781009157964, 2019.
Primack, A. G.: Simulation of climate-change effects on riparian vegetation in the Pere Marquette River, Michigan, Wetlands, 20, 538–547, https://doi.org/10.1672/0277-5212(2000)020<0538:SOCEOR>2.0.CO;2, 2000.
Rasouli, K., Pomeroy, J. W., and Whitfield, P. H.: The sensitivity of snow hydrology to changes in air temperature and precipitation in three North American headwater basins, J. Hydrol., 606, 127460, https://doi.org/10.1016/j.jhydrol.2022.127460, 2022.
Ray, A. M., Sepulveda, A. J., Irvine, K. M., Wilmoth, S. K., Thoma, D. P., and Patla, D. A.: Wetland drying linked to variations in snowmelt runoff across Grand Teton and Yellowstone national parks, Sci. Total Environ., 666, 1188–1197, https://doi.org/10.1016/j.scitotenv.2019.02.296, 2019.
Rodrigues, I. S.: GEE-RF-LC-code: GEE-RF-code, Zenodo [code], https://doi.org/10.5281/zenodo.11159362, 2024.
Rood, S. B., Samuelson, G. M., Weber, J. K., and Wywrot, K. A.: Twentieth-century decline in streamflows from the hydrographic apex of North America, J. Hydrol., 306, 215–233, https://doi.org/10.1016/j.jhydrol.2004.09.010, 2005.
Rood, S. B., Pan, J., Gill, K. M., Franks, C. G., Samuelson, G. M., and Shepherd, A.: Declining summer flows of Rocky Mountain rivers: Changing seasonal hydrology and probable impacts on floodplain forests, J. Hydrol., 349, 397–410, https://doi.org/10.1016/j.jhydrol.2007.11.012, 2008.
Schnorbus, M., Werner, A., and Bennett, K.: Impacts of climate change in three hydrologic regimes in British Columbia, Canada, Hydrol. Process., 28, 1170–1189, https://doi.org/10.1002/hyp.9661, 2014.
Sparks, R. E., Bayley, P. B., Kohler, S. L., and Osborne, L. L.: Disturbance and recovery of large floodplain rivers, Environ. Manage., 14, 699–709, https://doi.org/10.1007/BF02394719, 1990.
Stanford, J. A., Lorang, M. S., and Hauer, F. R.: The shifting habitat mosaic of river ecosystems. Internationale Vereinigung für theoretische und angewandte Limnologie: Verhandlungen, Int. Ver. The., 29, 123–136, https://doi.org/10.1080/03680770.2005.11901979, 2005.
Steger, C., Kotlarski, S., Jonas, T., and Schär, C.: Alpine snow cover in a changing climate: a regional climate model perspective, Clim. Dynam., 41, 735–754, https://doi.org/10.1007/s00382-012-1545-3, 2013.
Stewart, I. T.: Changes in snowpack and snowmelt runoff for key mountain regions, Hydrol. Process., 23, 78–94, https://doi.org/10.1002/hyp.7128, 2009.
Stewart, I. T., Cayan, D. R., and Dettinger, M. D.: Changes in snowmelt runoff timing in western North America under a “Business as Usual” climate change scenario, Climatic Change, 62, 217–232, https://doi.org/10.1023/B:CLIM.0000013702.22656.e8, 2004.
Stewart, I. T., Cayan, D. R., and Dettinger, M. D.: Changes toward earlier streamflow timing across western North America, J. Climate, 18, 1136–1155, https://doi.org/10.1175/JCLI3321.1, 2005.
Takaoka, S. and Swanson, F. J.: Change in extent of meadows and shrub fields in the central western Cascade Range, Oregon, Prof. Geogr., 60, 527–540, https://doi.org/10.1080/00330120802212099, 2008.
Tape, K. E., Sturm, M., and Racine, C.: The evidence for shrub expansion in Northern Alaska and the Pan-Arctic, Glob. Change Biol., 12, 686–702, https://doi.org/10.1111/j.1365-2486.2006.01128.x, 2006.
Tennesen, M.: When juniper and woody plants invade, water may retreat, Science, 322, 1630–1631, https://doi.org/10.1126/science.322.5908.1630, 2008.
Theurillat, J. P. and Guisan, A.: Potential impact of climate change on vegetation in the European Alps: a review, Climatic Change, 50, 77–109, https://doi.org/10.1023/A:1010632015572, 2001.
Vincent, L. A., Zhang, X., Brown, R. D., Feng, Y., Mekis, E., Milewska, E. J., Wan, H., and Wang, X. L.: Observed trends in Canada's climate and influence of low-frequency variability modes, J. Climate, 28, 4545–4560, https://doi.org/10.1175/JCLI-D-14-00697.1, 2015.
Vogl, R. J.: One hundred and thirty years of plant succession in a southeastern Wisconsin lowland, Ecology, 50, 248–255, https://doi.org/10.2307/1934852, 1969.
Wang, G., Cai, W., Gan, B., Wu, L., Santoso, A., Lin, X., Chen, Z., and McPhaden, M. J.: Continued increase of extreme El Niño frequency long after 1.5 C warming stabilization, Nat. Clim. Change, 7, 568–572, https://doi.org/10.1038/nclimate3351, 2017.
Wang, X., Helgason, B., Westbrook, C., and Bedard-Haughn, A.: Effect of mineral sediments on carbon mineralization, organic matter composition and microbial community dynamics in a mountain peatland, Soil Biol. Biochem., 103, 16–27, https://doi.org/10.1016/j.soilbio.2016.07.025, 2016.
Wang, X., Shaw, E. L., Westbrook, C. J., and Bedard-Haughn, A.: Beaver dams induce hyporheic and biogeochemical changes in riparian areas in a mountain peatland, Wetlands, 38, 1017–1032, https://doi.org/10.1007/s13157-018-1059-9, 2018.
White, J. C., Wulder, M. A., Hobart, G. W., Luther, J. E., Hermosilla, T., Griffiths, P., Coops, N. C., Hall, R. J., Hostert, P., Dyk, A., and Guindon, L.: Pixel-based image compositing for large-area dense time series applications and science, Can. J. Remote Sens., 40, 192–212, https://doi.org/10.1080/07038992.2014.945827, 2014.
Whitfield, P. H.: Linked hydrologic and climate variations in British Columbia and Yukon, Environ. Monit. Assess., 67, 217–238, https://doi.org/10.1023/A:1006438723879, 2001.
Whitfield, P. H.: Climate station analysis and fitness for purpose assessment of 3053600 Kananaskis, Alberta, Atmos. Ocean, 52, 363–383, https://doi.org/10.1080/07055900.2014.946388, 2014.
Windell, J. T. and Segelquist, C.: An ecological characterization of Rocky Mountain montane and subalpine wetlands, 86, Fish and Wildlife Service, US Department of the Interior, https://apps.dtic.mil/sti/tr/pdf/ADA323499.pdf (last access: 30 November 2022), 1986.
Wulder, M. A., Roy, D. P., Radeloff, V. C., Loveland, T. R., Anderson, M. C., Johnson, D. M., Healey, S., Zhu, Z., Scambos, T. A., Pahlevan, N., Hansen, M., Gorelick, N., Crawford, C. J., Masek, J. G., Hermosilla, T., White, J. C., Belward, A. S., Schaaf, C., Woodcock, C. E., Huntington, J. L., Lymburner, L., Hostert, P., Gao, F., Lyapustin, A., Pekel, J.-F., Strobl, P., and Cook, B. D.: Fifty years of Landsat science and impacts, Remote Sens. Environ., 280, 113195, https://doi.org/10.1016/j.rse.2022.113195, 2022.
Yang, Y., Gan, T. Y., and Tan, X.: Recent changing characteristics of dry and wet spells in Canada, Climatic Change, 165, 42, https://doi.org/10.1007/s10584-021-03046-8, 2021.
Zhang, T., Li, D., East, A. E., Walling, D. E., Lane, S., Overeem, I., Beylich, A. A., Koppes, M., and Lu, X.: Warming-driven erosion and sediment transport in cold regions, Nat. Rev. Earth Environ., 3, 1–20, https://doi.org/10.1038/s43017-022-00362-0, 2022.
Zhang, X., Vincent, L. A., Hogg, W. D., and Niitsoo, A.: Temperature and precipitation trends in Canada during the 20th century, Atmos. Ocean, 38, 395–429, https://doi.org/10.1080/07055900.2000.9649654, 2000.
Zhou, Z. Q., Xie, S. P., Zheng, X. T., Liu, Q., and Wang, H.: Global warming–induced changes in El Niño teleconnections over the North Pacific and North America, J. Climate, 27, 9050–9064, https://doi.org/10.1175/JCLI-D-14-00254.1, 2014.
Short summary
The research evaluated the trends and changes in land cover and river discharge in the Upper Columbia River Wetlands using remote sensing and hydroclimatic data. The river discharge increased during the peak flow season, resulting in a positive trend in the open-water extent in the same period, whereas open-water area declined on an annual basis. Furthermore, since 2003 the peak flow has occurred 11 d earlier than during 1903–1928, which has led to larger discharges in a shorter time.
The research evaluated the trends and changes in land cover and river discharge in the Upper...
