33 citations as recorded by crossref.

1. Late Holocene ENSO-related fire impact on vegetation, nutrient status and carbon accumulation of peatlands in Jambi, Sumatra, Indonesia K. Hapsari et al. https://doi.org/10.1016/j.revpalbo.2021.104482
2. Ecosystem CO2 and CH4 exchange in a mixed tundra and a fen within a hydrologically diverse Arctic landscape: 2. Modeled impacts of climate change R. Grant https://doi.org/10.1002/2014JG002889
3. Ecosystem CO2and CH4exchange in a mixed tundra and a fen within a hydrologically diverse Arctic landscape: 1. Modeling versus measurements R. Grant et al. https://doi.org/10.1002/2014JG002888
4. Degradation of Tropical Malaysian Peatlands Decreases Levels of Phenolics in Soil and in Leaves of Macaranga pruinosa C. Yule et al. https://doi.org/10.3389/feart.2016.00045
5. Peatfr: An R package to forecast tropical peatland fire risk with stochastic, machine learning, and optimisation methods A. Mahdiyasa et al. https://doi.org/10.1016/j.ecoinf.2025.103532
6. Carbon accumulation of tropical peatlands over millennia: a modeling approach S. Kurnianto et al. https://doi.org/10.1111/gcb.12672
7. Aquatic DOC export from subarctic Atlantic blanket bog in Norway is controlled by seasalt deposition, temperature and precipitation H. de Wit et al. https://doi.org/10.1007/s10533-016-0182-z
8. Modeling hydrological controls on variations in peat water content, water table depth, and surface energy exchange of a boreal western Canadian fen peatland M. Mezbahuddin et al. https://doi.org/10.1002/2016JG003501
9. Peatland carbon chemistry, amino acids and protein preservation in biogeochemically distinct ecohydrologic layers A. Yusuf et al. https://doi.org/10.1111/ejss.13518
10. Carbon dioxide emission and peat hydrophobicity in tidal peatlands S. Nurzakiah et al. https://doi.org/10.20961/stjssa.v17i1.41153
11. Water table depth fluctuations during ENSO phenomenon on different tropical peat swamp forest land covers in Katingan, Indonesia A. Rossita et al. https://doi.org/10.1088/1755-1315/129/1/012001
12. Representing northern peatland microtopography and hydrology within the Community Land Model X. Shi et al. https://doi.org/10.5194/bg-12-6463-2015
13. Land degradation monitoring using terrestrial ecosystem carbon sinks/sources and their response to climate change in China X. Chuai et al. https://doi.org/10.1002/ldr.3117
14. How can process-based modeling improve peat CO2 and N2O emission factors for oil palm plantations? E. Swails et al. https://doi.org/10.1016/j.scitotenv.2022.156153
15. Peatland groundwater level in the Indonesian maritime continent as an alert for El Niño and moderate positive Indian Ocean dipole events A. Sulaiman et al. https://doi.org/10.1038/s41598-023-27393-x
16. Modeling Climate Change Impacts on an Arctic Polygonal Tundra: 2. Changes in CO2 and CH4 Exchange Depend on Rates of Permafrost Thaw as Affected by Changes in Vegetation and Drainage R. Grant et al. https://doi.org/10.1029/2018JG004645
17. Modelling Watershed and River Basin Processes in Cold Climate Regions: A Review J. Wang et al. https://doi.org/10.3390/w13040518
18. Modelling nitrogen mineralization and plant nitrogen uptake as affected by reclamation cover depth in reclaimed upland forestlands of Northern Alberta N. Welegedara et al. https://doi.org/10.1007/s10533-020-00676-5
19. Modeling relationships between water table depth and peat soil carbon loss in Southeast Asian plantations K. Carlson et al. https://doi.org/10.1088/1748-9326/10/7/074006
20. Mathematical Modelling of Arctic Polygonal Tundra with Ecosys: 2. Microtopography Determines How CO2 and CH4 Exchange Responds to Changes in Temperature and Precipitation R. Grant et al. https://doi.org/10.1002/2017JG004037
21. Drivers of soil heterotrophic respiration in tropical peatlands: a review to inform peat carbon accumulation modelling E. Dehaen et al. https://doi.org/10.3389/fgeoc.2025.1492386
22. Large interannual variability in net ecosystem carbon dioxide exchange of a disturbed temperate peatland G. Aslan-Sungur et al. https://doi.org/10.1016/j.scitotenv.2016.02.153
23. Tropical peatlands in the anthropocene: Lessons from the past L. Cole et al. https://doi.org/10.1016/j.ancene.2022.100324
24. Water table variations on different land use units in a drained tropical peatland island of Indonesia I. Ismail et al. https://doi.org/10.2166/nh.2021.062
25. Keep wetlands wet: the myth of sustainable development of tropical peatlands – implications for policies and management S. Evers et al. https://doi.org/10.1111/gcb.13422
26. Large carbon cycle sensitivities to climate across a permafrost thaw gradient in subarctic Sweden K. Chang et al. https://doi.org/10.5194/tc-13-647-2019
27. PeatFire: an agent-based model to simulate fire ignition and spreading in a tropical peatland ecosystem K. Widyastuti et al. https://doi.org/10.1071/WF19213
28. How hydrology determines seasonal and interannual variations in water table depth, surface energy exchange, and water stress in a tropical peatland: Modeling versus measurements M. Mezbahuddin et al. https://doi.org/10.1002/2015JG003005
29. Mathematical Modelling of Arctic Polygonal Tundra with Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation R. Grant et al. https://doi.org/10.1002/2017JG004035
30. Causality guided machine learning model on wetland CH4 emissions across global wetlands K. Yuan et al. https://doi.org/10.1016/j.agrformet.2022.109115
31. Accuracy of tropical peat and non-peat fire forecasts enhanced by simulating hydrology S. Mezbahuddin et al. https://doi.org/10.1038/s41598-022-27075-0
32. Coupled eco-hydrology and biogeochemistry algorithms enable the simulation of water table depth effects on boreal peatland net CO2 exchange M. Mezbahuddin et al. https://doi.org/10.5194/bg-14-5507-2017
33. Modelling plant water relations and net primary productivity as affected by reclamation cover depth in reclaimed forestlands of northern Alberta N. Welegedara et al. https://doi.org/10.1007/s11104-019-04363-9