Using remote sensing to assess peatland resilience by estimating oil surface moisture and drought recovery
dc.contributor.author | Lees, KJ | |
dc.contributor.author | Artz, RRE | |
dc.contributor.author | Chandler, D | |
dc.contributor.author | Aspinall, T | |
dc.contributor.author | Boulton, CA | |
dc.contributor.author | Buxton, J | |
dc.contributor.author | Cowie, NR | |
dc.contributor.author | Lenton, TM | |
dc.date.accessioned | 2020-12-03T15:04:35Z | |
dc.date.issued | 2020-11-04 | |
dc.description.abstract | Peatland areas provide a range of ecosystem services, including biodiversity, carbon storage, clean water, and flood mitigation, but many areas of peatland in the UK have been degraded through human land use including drainage. Here, we explore whether remote sensing can be used to monitor peatland resilience to drought. We take resilience to mean the rate at which a system recovers from perturbation; here measured literally as a recovery timescale of a soil surface moisture proxy from drought lowering. Our objectives were (1) to assess the reliability of Sentinel-1 Synthetic Aperture Radar (SAR) backscatter as a proxy for water table depth (WTD); (2) to develop a method using SAR to estimate below-ground (hydrological) resilience of peatlands; (3) to apply the developed method to different sites and consider the links between resilience and land management. Our inferences of WTD from Sentinel-1 SAR data gave results with an average Pearson’s correlation of 0.77 when compared to measured WTD values. The 2018 summer drought was used to assess resilience across three different UK peatland areas (Dartmoor, the Peak District, and the Flow Country) by considering the timescale of the soil moisture proxy recovery. Results show clear areas of lower resilience within all three study sites, which often correspond to areas of high drainage and may be particularly vulnerable to increasing drought severity/events under climate change. This method is applicable to monitoring peatland resilience elsewhere over larger scales, and could be used to target restoration work towards the most vulnerable areas. | en_GB |
dc.description.sponsorship | Leverhulme Trust | en_GB |
dc.identifier.citation | Vol. 761, article 143312 | en_GB |
dc.identifier.doi | 10.1016/j.scitotenv.2020.143312 | |
dc.identifier.grantnumber | RPG-2018-046 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/123898 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights.embargoreason | Under embargo until 4 November 2021 in compliance with publisher policy | en_GB |
dc.rights | © 2020. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dc.subject | Blanket bog | en_GB |
dc.subject | SAR | en_GB |
dc.subject | Sentinel-1 | en_GB |
dc.subject | hydrology | en_GB |
dc.subject | water table dynamics | en_GB |
dc.title | Using remote sensing to assess peatland resilience by estimating oil surface moisture and drought recovery | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-12-03T15:04:35Z | |
dc.identifier.issn | 0048-9697 | |
dc.description | This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record | en_GB |
dc.identifier.journal | Science of the Total Environment | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dcterms.dateAccepted | 2020-11-26 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2020-11-26 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-12-03T14:39:03Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2021-11-04T00:00:00Z | |
refterms.panel | C | en_GB |
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Except where otherwise noted, this item's licence is described as © 2020. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/