Please use this identifier to cite or link to this item:
http://hdl.handle.net/11667/259
Appears in Collections: | University of Stirling Research Data |
Title: | Methane and carbon dioxide emissions from agricultural ponds are driven by physico-chemical and morphological characteristics |
Creator(s): | Bryan, David |
Contact Email: | dab11@stir.ac.uk |
Keywords: | Greenhouse gas (GHG) emissions Ponds |
Date Available: | 20-Aug-2025 |
Citation: | Bryan, D (2025): Methane and carbon dioxide emissions from agricultural ponds are driven by physico-chemical and morphological characteristics. University of Stirling, School of Natural Science, Biological and environmental sciences. Dataset. http://hdl.handle.net/11667/259 |
Publisher: | University of Stirling, School of Natural Science, Biological and environmental sciences. |
Dataset Description (Abstract): | Agricultural ponds are globally widespread and multifunctional, yet they emit substantial quantities of greenhouse gases (GHGs), notably methane (CH₄) and carbon dioxide (CO₂), posing a significant but poorly quantified climate disservice. This study quantified diffusive concentrations and fluxes of CH₄ and CO₂ from 18 agricultural ponds in Scotland between May and September. All ponds were net GHG sources, with mean fluxes of 0.39 ± 0.41 g CH₄ m⁻² day⁻¹ and 3.22 ± 1.91 g CO₂ m⁻² day⁻¹. While CO₂ flux dominated in absolute terms (8,790 ± 4,330 tkg CO₂ ha⁻¹ summer⁻¹), CH₄ exerted a far greater climate impact when expressed as sustained global warming potential (32,860 ± 30,710 tkg CO₂ ha⁻¹ summer⁻¹). CH₄ fluxes peaked in warmer months, while CO₂ patterns were more variable, likely linked to photosynthesis and macrophyte biomass. Dissolved CH₄ declined with depth, pH, oxygen, and nitrogen, whereas dissolved CO₂ declined with depth and pH but increased with air pressure, carbon, and sediment depth. These results demonstrate that GHG emissions from agricultural ponds are shaped by interacting physico-chemical and morphological factors, with implications for both carbon cycling and ecosystem services. Integrating pond-scale emissions into broader climate and land-use policies is essential for accurate carbon budgeting. |
Dataset Description (TOC): | Greenhouse gas emission data from 18 ponds measured for flux and dissolved metrics. Also, environmental and additional data used to model relative effects on emission rates. |
Type: | dataset |
Funder(s): | Scottish Government |
Geographic Location(s): | Scotland |
Time Period: | 01/05/2024 - 30/09/2024 |
URI: | http://hdl.handle.net/11667/259 |
Rights: | Rights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/ |
Affiliation(s) of Dataset Creator(s): | University of Stirling (BES) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FLUX CALC_tidy.xlsx | 108.54 kB | Microsoft Excel XML | View/Open | |
Modelling dataset.xlsx | 34.47 kB | Microsoft Excel XML | View/Open |
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