Reply on RC1 DOI Creative Commons
Mariana Mendes Silva

Published: Dec. 7, 2023

Abstract. Peatland restoration and rehabilitation action has become more widely acknowledged as a necessary response to mitigating climate change risks improving global carbon storage. ecosystems require timespans on the order of decades thus cannot be dependent upon shorter-term monitoring often carried out in research projects. Hydrological assessments using geospatial tools provide basis for planning works well analysing associated environmental influences. “Restoration” encompasses applications pre- post-restoration scenarios both bogs fens, across range impact fields. The aim this scoping review is identify, describe, categorise current process-based modelling uses peatlands investigate applicability appropriateness eco- and/or hydrological models northern peatland restoration. Two literature searches were conducted Web Science entire database September 2022 August 2023. Of final 211 papers included review, their categorised according review’s interests 7 distinct categories aggregating papers’ themes model outputs. Restoration site context was added by identifying 234 unique study locations from full which catalogued analysed against raster data Köppen-Geiger classification scheme. A majority sites temperate oceanic zones or humid continental experiencing snow. Over one five unnamed likely single-use. top three most-used these models, based frequency use locations, LPJ, ecosys, DigiBog, that order. Key emerging topics covered included: development bog growth perspective; prioritisation GHG emissions dynamics part policymaking; importance spatial connectivity within alongside represent heterogeneous systems; prevalence remote sensing machine learning techniques predict progress with little physical intervention. This provides valuable application ecohydrological determining strategies evaluating post-intervention over time.

Language: Английский

Multi-sensor satellite imagery reveals spatiotemporal changes in peatland water table after restoration DOI Creative Commons
Aleksi Isoaho, Lauri Ikkala, Lassi Päkkilä

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 306, P. 114144 - 114144

Published: March 30, 2024

Language: Английский

Citations

12
Optimizing Afforestation and Reforestation Strategies to Enhance Ecosystem Services in Critically Degraded Regions DOI Creative Commons
R Fahrudin, Anjar Dimara Sakti,

Hazel Yordan Komara

et al.

Trees Forests and People, Journal Year: 2024, Volume and Issue: unknown, P. 100700 - 100700

Published: Sept. 1, 2024

Language: Английский

Citations

5
Enhancing peatland monitoring through multisource remote sensing: optical and radar data applications DOI Creative Commons
Gohar Ghazaryan,

Lena Krupp,

Simon Seyfried

et al.

International Journal of Remote Sensing, Journal Year: 2024, Volume and Issue: 45(18), P. 6372 - 6394

Published: Aug. 30, 2024

Peatlands play a pivotal role in global carbon cycling and the conservation of biodiversity even though they cover small fraction Earth's terrestrial surface. These ecosystems are, however, increasingly vulnerable due to climate change impacts anthropogenic activities, leading significant degradation many areas. This review compiles analyses various studies that employ remote sensing for comprehensive peatland mapping monitoring. Remote offers detailed insights into critical features, including classification vegetation, assessment water table dynamics, vegetation condition diversity estimation stocks. Furthermore, delineates utility monitoring recovery processes restored peatlands, highlighting scarcity long-term studies. It also emphasizes potential integrating hyperspectral, multispectral SAR data as well cross-scale analyses. Concluding with future directions, underscores necessity enhanced upscaling techniques, integration multi-sensor application modelling enrich our understanding management ecosystems.

Language: Английский

Citations

4
Monitoring of Incipient Habitat Deterioration in Small Temperate Mires Using Aerial and Satellite Imagery: Verification Using Ground-Based Vegetation Data DOI
Lubomír Tichý, Patrícia Singh, Petra Hájková

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Natural Climate Protection through Peatland Rewetting: A Future for the Rathsbruch Peatland in Germany DOI Creative Commons
Petra Schneider,

Tino Fauk,

Florin‐Constantin Mihai

et al.

Land, Journal Year: 2024, Volume and Issue: 13(5), P. 581 - 581

Published: April 27, 2024

Draining peatlands to create agricultural land has been the norm in Europe, but context of climate change and loss biodiversity, these rich ecosystems may reactivate their functions as greenhouse gas sinks retreat spaces for animals plants. Against this background, National Moor Rewetting Strategy was put into effect Germany 2023, together with Natural Climate Protection Action Plan. This article examines methodology peatland rewetting from scientific, administrative, social, technical perspectives. The focuses on an example moor central Germany: Rathsbruch near municipality Zerbst, Saxony-Anhalt. To illustrate importance projects degraded peatlands, five scenarios different target soil water levels were considered, associated emissions calculated a period years. For planning solution, estimate medium-to-long-term development habitat types made based current use dynamics typical habitat. results area showed that increasing level steps 1, 0.8, or 0.5 m no significant influence reducing CO2 situation, while depth 0.3 slight influence. When raised 0.1 below surface (Scenario 5), reduction observed. avoided costs due environmental damage show benefits multiply every decimeter increase. rising groundwater extensification favor establishment local biotopes. means two biggest man-made problems (extinction species change) can be reduced. Therefore, research is applicable recultivation work at municipal regional beyond within framework EU restoration policy.

Language: Английский

Citations

2
Reviews and syntheses: A scoping review evaluating the potential application of ecohydrological models for northern peatland restoration DOI Creative Commons
Mariana P. Silva, Mark G. Healy, Laurence Gill

et al.

Biogeosciences, Journal Year: 2024, Volume and Issue: 21(13), P. 3143 - 3163

Published: July 9, 2024

Abstract. Peatland restoration and rehabilitation action has become more widely acknowledged as a necessary response to mitigating climate change risks improving global carbon storage. ecosystems require time spans of the order decades and, thus, cannot be dependent upon shorter-term monitoring often carried out in research projects. Hydrological assessments using geospatial tools provide basis for planning works well analysing associated environmental influences. “Restoration” encompasses applications pre-restoration post-restoration scenarios both bogs fens, across range impact fields. The aim this scoping review is identify, describe, categorize current process-based modelling uses peatlands investigate applicability appropriateness ecohydrological and/or hydrological models northern peatland restoration. Two literature searches were conducted entire Web Science database September 2022 August 2023. Of final 211 papers included review, their categorized according review's interests seven distinct categories aggregating papers' themes model outputs. Restoration site context was added by identifying 229 unique study locations from full database, which catalogued analysed against raster data Köppen–Geiger classification scheme. A majority sites temperate oceanic zones or humid continental that experienced snow. Over one five unnamed likely intended single use. Key emerging topics covered following: development bog growth perspective, prioritization greenhouse gas (GHG) emissions dynamics part policymaking, importance spatial connectivity within alongside represent heterogeneous systems, increased prevalence remote sensing machine learning techniques predict progress with little physical intervention. Models are presented application broader ecosystem organized most least complex. This provides valuable determining strategies evaluating post-intervention over time.

Language: Английский

Citations

2
A deep learning approach for high‐resolution mapping of Scottish peatland degradation DOI Creative Commons
Fraser Macfarlane, Ciaran Robb, Malcolm Coull

et al.

European Journal of Soil Science, Journal Year: 2024, Volume and Issue: 75(4)

Published: July 1, 2024

Abstract Peat makes up approximately a quarter of Scotland's soil by area. Healthy, undisturbed, peatland habitats are critical to providing resilient biodiversity and habitat support, water management, carbon sequestration. A high stable table is prerequisite maintain sink function; any drainage turns this major terrestrial store into source that feeds back further global climate change. Drainage erosion features crucial indicators condition key for estimating national greenhouse gas emissions. Previous work on mapping peat depth in Scotland has provided maps with reasonable accuracy at 100‐m resolution, allowing land managers policymakers both plan manage these soils towards identifying priority sites restoration. However, the spatial variability surface much finer than scale, limiting ability inventory emissions or develop site‐specific restoration management plans. This involves an updated set using high‐resolution (25 cm) aerial imagery, which provides identify segment individual channels features. Combining imagery classical deep learning‐based segmentation model enables scale be carried out deeper understanding resource will enable various future analyses data.

Language: Английский

Citations

2
Remote sensing of peatland degradation in temperate and boreal climate zones – A review of the potentials, gaps, and challenges DOI Creative Commons
Farina de Waard, John Connolly,

Alexandra Barthelmes

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112437 - 112437

Published: Aug. 19, 2024

Language: Английский

Citations

2
Changes in satellite‐derived spectral variables and their linkages with vegetation changes after peatland restoration DOI Creative Commons
Aleksi Räsänen, Aapo Jantunen, Aleksi Isoaho

et al.

Restoration Ecology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 7, 2024

Remote sensing (RS) can be an efficient monitoring method to assess the ecological impacts of restoration. Yet, it has been used relatively little monitor post‐restoration changes in boreal forestry‐drained peatlands, and particularly linkages between RS plant species remain vague. To understand this gap, we utilize data from Finnish peatland restoration network spanning 150 sites a 10‐year period. We employ Bayesian joint distribution models (Hierarchical Modeling Species Communities) study (1) optical Sentinel‐2 Landsat satellite spectral signatures, (2) whether variables improve predictions vascular moss functional type occurrence cover, (3) what kinds associations exist or types. Our results show that increases reflectance red near‐infrared (NIR) bands sparsely treed pine mire forests open mires but not densely spruce forests. Impacts on other tested consisting moisture greenness indices are less clear. Additionally, increase species‐ type‐specific predictive power only modestly, there few clear links functional‐type cover. suggest NIR as satellite‐based indicators for success further studies required develop usable methods detecting species‐specific with RS.

Language: Английский

Citations

1
Monitoring changes in boreal peatland vegetation after restoration with optical satellite imagery DOI Creative Commons
Aleksi Isoaho, Merja Elo, Hannu Marttila

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 957, P. 177697 - 177697

Published: Nov. 26, 2024

Restoration can initiate a succession of plant communities towards those pristine peatlands. Field inventory-based vegetation monitoring is labour-intensive and not feasible for every restored site. While remote sensing has been used to monitor hydrological changes in peatlands, it less post-restoration composition. We utilised inventories from Finnish peatland network containing 10-year before-after-control-impact data 150 sites, representing three types (spruce mire forests, pine open mires), optical observations Landsat 5-9 Sentinel-2 satellites. employed non-metric multidimensional scaling (NMDS) produce floristic gradients, wetness productivity, the data. constructed random forest regression models with NMDS dimensions, i.e. as response variables satellite imagery predictors. Our results show that gradients different should be monitored variables. However, midsummer NIR red band consistently explain variation all types. indicate them modelled reasonable accuracy mires sparsely treed forests but densely spruce forests. suggest serve proxy assessing peatlands little or no trees.

Language: Английский

Citations

0