Articles | Volume 21, issue 13
https://doi.org/10.5194/bg-21-3143-2024
https://doi.org/10.5194/bg-21-3143-2024
Reviews and syntheses
 | 
09 Jul 2024
Reviews and syntheses |  | 09 Jul 2024

Reviews and syntheses: A scoping review evaluating the potential application of ecohydrological models for northern peatland restoration

Mariana P. Silva, Mark G. Healy, and Laurence Gill

Related authors

Variations in land types detected using methane retrieved from space-borne sensor
Saheba Bhatnagar, Mahesh Kumar Sha, Laurence Gill, Bavo Langerock, and Bidisha Ghosh
Biogeosciences Discuss., https://doi.org/10.5194/bg-2022-88,https://doi.org/10.5194/bg-2022-88, 2022
Revised manuscript not accepted
Short summary
Assessing the spatial and temporal variability of greenhouse gas emissions from different configurations of on-site wastewater treatment system using discrete and continuous gas flux measurement
Jan Knappe, Celia Somlai, and Laurence W. Gill
Biogeosciences, 19, 1067–1085, https://doi.org/10.5194/bg-19-1067-2022,https://doi.org/10.5194/bg-19-1067-2022, 2022
Short summary
Impacts of climate change on groundwater flooding and ecohydrology in lowland karst
Patrick Morrissey, Paul Nolan, Ted McCormack, Paul Johnston, Owen Naughton, Saheba Bhatnagar, and Laurence Gill
Hydrol. Earth Syst. Sci., 25, 1923–1941, https://doi.org/10.5194/hess-25-1923-2021,https://doi.org/10.5194/hess-25-1923-2021, 2021
Short summary
Carbon balance of a restored and cutover raised bog: implications for restoration and comparison to global trends
Michael M. Swenson, Shane Regan, Dirk T. H. Bremmers, Jenna Lawless, Matthew Saunders, and Laurence W. Gill
Biogeosciences, 16, 713–731, https://doi.org/10.5194/bg-16-713-2019,https://doi.org/10.5194/bg-16-713-2019, 2019
Short summary
Monitoring environmental supporting conditions of a raised bog using remote sensing techniques
Saheba Bhatnagar, Bidisha Ghosh, Shane Regan, Owen Naughton, Paul Johnston, and Laurence Gill
Proc. IAHS, 380, 9–15, https://doi.org/10.5194/piahs-380-9-2018,https://doi.org/10.5194/piahs-380-9-2018, 2018

Related subject area

Biogeophysics: Ecohydrology
Drought and radiation explain fluctuations in Amazon rainforest greenness during the 2015–2016 drought
Yi Y. Liu, Albert I. J. M. van Dijk, Patrick Meir, and Tim R. McVicar
Biogeosciences, 21, 2273–2295, https://doi.org/10.5194/bg-21-2273-2024,https://doi.org/10.5194/bg-21-2273-2024, 2024
Short summary
Inclusion of bedrock vadose zone in dynamic global vegetation models is key for simulating vegetation structure and function
Dana A. Lapides, W. Jesse Hahm, Matthew Forrest, Daniella M. Rempe, Thomas Hickler, and David N. Dralle
Biogeosciences, 21, 1801–1826, https://doi.org/10.5194/bg-21-1801-2024,https://doi.org/10.5194/bg-21-1801-2024, 2024
Short summary
The dynamics of marsh-channel slump blocks: an observational study using repeated drone imagery
Zhicheng Yang, Clark Alexander, and Merryl Alber
Biogeosciences, 21, 1757–1772, https://doi.org/10.5194/bg-21-1757-2024,https://doi.org/10.5194/bg-21-1757-2024, 2024
Short summary
Understanding the effects of revegetated shrubs on fluxes of energy, water, and gross primary productivity in a desert steppe ecosystem using the STEMMUS–SCOPE model
Enting Tang, Yijian Zeng, Yunfei Wang, Zengjing Song, Danyang Yu, Hongyue Wu, Chenglong Qiao, Christiaan van der Tol, Lingtong Du, and Zhongbo Su
Biogeosciences, 21, 893–909, https://doi.org/10.5194/bg-21-893-2024,https://doi.org/10.5194/bg-21-893-2024, 2024
Short summary
Imaging of the electrical activity in the root zone under limited-water-availability stress: a laboratory study for Vitis vinifera
Benjamin Mary, Veronika Iván, Franco Meggio, Luca Peruzzo, Guillaume Blanchy, Chunwei Chou, Benedetto Ruperti, Yuxin Wu, and Giorgio Cassiani
Biogeosciences, 20, 4625–4650, https://doi.org/10.5194/bg-20-4625-2023,https://doi.org/10.5194/bg-20-4625-2023, 2023
Short summary

Cited articles

Acharya, S., Kaplan, D. A., Jawitz, J. W., and Cohen, M. J.: Doing ecohydrology backward: Inferring wetland flow and hydroperiod from landscape patterns, Water Resour. Res., 53, 5742–5755, https://doi.org/10.1002/2017WR020516, 2017. 
Apori, S. O., Mcmillan, D., Giltrap, M., and Tian, F.: Mapping the restoration of degraded peatland as a research area: A scientometric review, Front. Environ. Sci., 10, 942788, https://doi.org/10.3389/fenvs.2022.942788, 2022. 
Baird, A. J., Morris, P. J., and Belyea, L. R.: The DigiBog peatland development model 1: rationale, conceptual model, and hydrological basis, Ecohydrology, 5, 242–255, https://doi.org/10.1002/eco.230, 2012. 
Ball, J., Gimona, A., Cowie, N., Hancock, M., Klein, D., Donaldson-Selby, G., and Artz, R. R. E.: Assessing the Potential of using Sentinel-1 and 2 or high-resolution aerial imagery data with Machine Learning and Data Science Techniques to Model Peatland Restoration Progress – a Northern Scotland case study, Int. J. Remote Sens., 44, 2885–2911, https://doi.org/10.1080/01431161.2023.2209916, 2023. 
Short summary
Peatland restoration combats climate change and protects ecosystem health in many northern regions. This review gathers data about models used on northern peatlands to further envision their application in the specific scenario of restoration. A total of 211 papers were included in the review: location trends for peatland modelling were catalogued, and key themes in model outputs were highlighted. Valuable context is provided for future efforts in modelling the peatland restoration process.
Altmetrics
Final-revised paper
Preprint