Pondi: A low-cost logger for long-term monitoring of methane, carbon dioxide, and nitrous oxide in aquatic and terrestrial systems. Article Swipe
Martino E. Malerba
,
Blake Edwards
,
Lukas Schuster
,
Omosalewa Odebiri
,
Josh Glen
,
Rachel S. Kelly
,
Philippe Phan
,
Alistair Grinham
,
Peter I. Macreadie
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.31219/osf.io/54rd2
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.31219/osf.io/54rd2
Understanding the complex dynamics of greenhouse gases (GHGs) such as carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) fluxes in terrestrial and aquatic ecosystems requires extensive monitoring campaigns to capture spatial and temporal variations adequately. However, conventional commercial GHG analysers limit data collection due to their high costs, limited portability, cumbersome weight, and restricted field autonomy. To overcome these challenges, we developed the ‘Pondi’ – a lightweight (0.8 kg) logger from cost-effective components tailored for long-term (weeks to months) continuous monitoring of CO2, CH4, and N2O in terrestrial and aquatic environments. The Pondi features solar panels for indefinite runtime, GPS for tracking, a gyroscope for motion detection, and an optional microcontroller to support self-venting and additional sensors. It can be deployed on floating chambers to monitor aquatic emissions, or on land for net primary productivity. The Pondi maintains continuous connectivity to a cloud-based system, facilitating real-time data access and enabling remote configuration. The components for the Pondi are readily available in most countries, and standard engineering and IT skills are sufficient to assemble the device. By offering a practical, cost-effective, and reliable solution for GHG flux monitoring, the Pondi contributes to efforts to assess and mitigate anthropogenic GHG emissions that cause climate change.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.31219/osf.io/54rd2
- https://osf.io/54rd2/download
- OA Status
- gold
- References
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4396625633Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.31219/osf.io/54rd2Digital Object Identifier
- Title
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Pondi: A low-cost logger for long-term monitoring of methane, carbon dioxide, and nitrous oxide in aquatic and terrestrial systems.Work title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
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2024-05-03Full publication date if available
- Authors
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Martino E. Malerba, Blake Edwards, Lukas Schuster, Omosalewa Odebiri, Josh Glen, Rachel S. Kelly, Philippe Phan, Alistair Grinham, Peter I. MacreadieList of authors in order
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https://doi.org/10.31219/osf.io/54rd2Publisher landing page
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https://osf.io/54rd2/downloadDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://osf.io/54rd2/downloadDirect OA link when available
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Nitrous oxide, Methane, Carbon dioxide, Environmental science, Term (time), Data logger, Environmental chemistry, Ecology, Chemistry, Computer science, Biology, Operating system, Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.on | 122, 130 |
| abstract_inverted_index.or | 129 |
| abstract_inverted_index.to | 29, 45, 78, 112, 125, 141, 172, 191, 193 |
| abstract_inverted_index.we | 61 |
| abstract_inverted_index.GHG | 39, 185, 198 |
| abstract_inverted_index.GPS | 100 |
| abstract_inverted_index.N2O | 86 |
| abstract_inverted_index.The | 92, 136, 153 |
| abstract_inverted_index.and | 15, 22, 32, 53, 85, 89, 108, 115, 149, 164, 167, 181, 195 |
| abstract_inverted_index.are | 158, 170 |
| abstract_inverted_index.can | 119 |
| abstract_inverted_index.due | 44 |
| abstract_inverted_index.for | 75, 97, 101, 105, 132, 155, 184 |
| abstract_inverted_index.kg) | 69 |
| abstract_inverted_index.net | 133 |
| abstract_inverted_index.the | 1, 63, 156, 174, 188 |
| abstract_inverted_index.– | 65 |
| abstract_inverted_index.(0.8 | 68 |
| abstract_inverted_index.CH4, | 84 |
| abstract_inverted_index.CO2, | 83 |
| abstract_inverted_index.data | 42, 147 |
| abstract_inverted_index.flux | 186 |
| abstract_inverted_index.from | 71 |
| abstract_inverted_index.high | 47 |
| abstract_inverted_index.land | 131 |
| abstract_inverted_index.most | 162 |
| abstract_inverted_index.such | 8 |
| abstract_inverted_index.that | 200 |
| abstract_inverted_index.(N2O) | 18 |
| abstract_inverted_index.Pondi | 93, 137, 157, 189 |
| abstract_inverted_index.cause | 201 |
| abstract_inverted_index.field | 55 |
| abstract_inverted_index.gases | 6 |
| abstract_inverted_index.limit | 41 |
| abstract_inverted_index.oxide | 17 |
| abstract_inverted_index.solar | 95 |
| abstract_inverted_index.their | 46 |
| abstract_inverted_index.these | 59 |
| abstract_inverted_index.(CH4), | 14 |
| abstract_inverted_index.(CO2), | 12 |
| abstract_inverted_index.(GHGs) | 7 |
| abstract_inverted_index.(weeks | 77 |
| abstract_inverted_index.access | 148 |
| abstract_inverted_index.assess | 194 |
| abstract_inverted_index.carbon | 10 |
| abstract_inverted_index.costs, | 48 |
| abstract_inverted_index.fluxes | 19 |
| abstract_inverted_index.logger | 70 |
| abstract_inverted_index.motion | 106 |
| abstract_inverted_index.panels | 96 |
| abstract_inverted_index.remote | 151 |
| abstract_inverted_index.skills | 169 |
| abstract_inverted_index.aquatic | 23, 90, 127 |
| abstract_inverted_index.capture | 30 |
| abstract_inverted_index.change. | 203 |
| abstract_inverted_index.climate | 202 |
| abstract_inverted_index.complex | 2 |
| abstract_inverted_index.device. | 175 |
| abstract_inverted_index.dioxide | 11 |
| abstract_inverted_index.efforts | 192 |
| abstract_inverted_index.limited | 49 |
| abstract_inverted_index.methane | 13 |
| abstract_inverted_index.monitor | 126 |
| abstract_inverted_index.months) | 79 |
| abstract_inverted_index.nitrous | 16 |
| abstract_inverted_index.primary | 134 |
| abstract_inverted_index.readily | 159 |
| abstract_inverted_index.spatial | 31 |
| abstract_inverted_index.support | 113 |
| abstract_inverted_index.system, | 144 |
| abstract_inverted_index.weight, | 52 |
| abstract_inverted_index.However, | 36 |
| abstract_inverted_index.assemble | 173 |
| abstract_inverted_index.chambers | 124 |
| abstract_inverted_index.deployed | 121 |
| abstract_inverted_index.dynamics | 3 |
| abstract_inverted_index.enabling | 150 |
| abstract_inverted_index.features | 94 |
| abstract_inverted_index.floating | 123 |
| abstract_inverted_index.mitigate | 196 |
| abstract_inverted_index.offering | 177 |
| abstract_inverted_index.optional | 110 |
| abstract_inverted_index.overcome | 58 |
| abstract_inverted_index.reliable | 182 |
| abstract_inverted_index.requires | 25 |
| abstract_inverted_index.runtime, | 99 |
| abstract_inverted_index.sensors. | 117 |
| abstract_inverted_index.solution | 183 |
| abstract_inverted_index.standard | 165 |
| abstract_inverted_index.tailored | 74 |
| abstract_inverted_index.temporal | 33 |
| abstract_inverted_index.analysers | 40 |
| abstract_inverted_index.autonomy. | 56 |
| abstract_inverted_index.available | 160 |
| abstract_inverted_index.campaigns | 28 |
| abstract_inverted_index.developed | 62 |
| abstract_inverted_index.emissions | 199 |
| abstract_inverted_index.extensive | 26 |
| abstract_inverted_index.gyroscope | 104 |
| abstract_inverted_index.long-term | 76 |
| abstract_inverted_index.maintains | 138 |
| abstract_inverted_index.real-time | 146 |
| abstract_inverted_index.tracking, | 102 |
| abstract_inverted_index.additional | 116 |
| abstract_inverted_index.collection | 43 |
| abstract_inverted_index.commercial | 38 |
| abstract_inverted_index.components | 73, 154 |
| abstract_inverted_index.continuous | 80, 139 |
| abstract_inverted_index.countries, | 163 |
| abstract_inverted_index.cumbersome | 51 |
| abstract_inverted_index.detection, | 107 |
| abstract_inverted_index.ecosystems | 24 |
| abstract_inverted_index.emissions, | 128 |
| abstract_inverted_index.greenhouse | 5 |
| abstract_inverted_index.indefinite | 98 |
| abstract_inverted_index.monitoring | 27, 81 |
| abstract_inverted_index.practical, | 179 |
| abstract_inverted_index.restricted | 54 |
| abstract_inverted_index.sufficient | 171 |
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| abstract_inverted_index.adequately. | 35 |
| abstract_inverted_index.challenges, | 60 |
| abstract_inverted_index.cloud-based | 143 |
| abstract_inverted_index.contributes | 190 |
| abstract_inverted_index.engineering | 166 |
| abstract_inverted_index.lightweight | 67 |
| abstract_inverted_index.monitoring, | 187 |
| abstract_inverted_index.terrestrial | 21, 88 |
| abstract_inverted_index.‘Pondi’ | 64 |
| abstract_inverted_index.connectivity | 140 |
| abstract_inverted_index.conventional | 37 |
| abstract_inverted_index.facilitating | 145 |
| abstract_inverted_index.portability, | 50 |
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| abstract_inverted_index.Understanding | 0 |
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| abstract_inverted_index.environments. | 91 |
| abstract_inverted_index.productivity. | 135 |
| abstract_inverted_index.configuration. | 152 |
| abstract_inverted_index.cost-effective | 72 |
| abstract_inverted_index.cost-effective, | 180 |
| abstract_inverted_index.microcontroller | 111 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5021745724 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I149704539 |
| citation_normalized_percentile.value | 0.07829487 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |