GLORIA

GEOMAR Library Ocean Research Information Access

X

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 11
    Online Resource
    Online Resource
    Wall-to-wall mapping of carbon loss within the Chornobyl Exclusion Zone after the 2020 catastrophic wildfire
    Springer Science and Business Media LLC ; 2023
    In:  Annals of Forest Science Vol. 80, No. 1 ( 2023-07-04)
    Details
    In: Annals of Forest Science, Springer Science and Business Media LLC, Vol. 80, No. 1 ( 2023-07-04)
    Abstract: We propose a framework to derive the direct loss of aboveground carbon stocks after the 2020 wildfire in forests of the Chornobyl Exclusion Zone using optical and radar Sentinel satellite data. Carbon stocks were adequately predicted using stand-wise inventory data and local combustion factors where new field observations are impossible. Both the standalone Sentinel-1 backscatter delta (before and after fire) indicator and radar-based change model reliably predicted the associated carbon loss. Context The Chornobyl Exclusion Zone (CEZ) is a mosaic forest landscape undergoing dynamic natural disturbances. Local forests are mostly planted and have low ecosystem resilience against the negative impact of global climate and land use change. Carbon stock fluxes after wildfires in the area have not yet been quantified. However, the assessment of this and other ecosystem service flows is crucial in contaminated (both radioactively and by unexploded ordnance) landscapes of the CEZ. Aims The aim of this study was to estimate carbon stock losses resulting from the catastrophic 2020 fires in the CEZ using satellite data, as field visitations or aerial surveys are impossible due to the ongoing war. Methods The aboveground carbon stock was predicted in a wall-to-wall manner using random forest modelling based on Sentinel data (both optical and synthetic aperture radar or SAR). We modelled the carbon stock loss using the change in Sentinel-1 backscatter before and after the fire events and local combustion factors. Results Random forest models performed well (root-mean-square error (RMSE) of 22.6 MgC·ha −1 or 37% of the mean) to predict the pre-fire carbon stock. The modelled carbon loss was estimated to be 156.3 Gg C (9.8% of the carbon stock in burned forests or 1.5% at the CEZ level). The standalone SAR backscatter delta showed a higher RMSE than the modelled estimate but better systematic agreement (0.90 vs. 0.73). Scots pine ( Pinus sylvestris L.)-dominated stands contributed the most to carbon stock loss, with 74% of forests burned in 2020. Conclusion The change in SAR backscatter before and after a fire event can be used as a rough proxy indicator of aboveground carbon stock loss for timely carbon map updating. The model using SAR backscatter change and backscatter values prior to wildfire is able to reliably estimate carbon emissions when on-ground monitoring is impossible.
    Type of Medium: Online Resource
    ISSN: 1297-966X
    URL: Article
    DOI: 10.1186/s13595-023-01192-w
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2012340-1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 12
    Online Resource
    Online Resource
    Deploying bioenergy for decarbonizing Malaysian energy sectors and alleviating renewable energy poverty
    Elsevier BV ; 2021
    In:  Energy Vol. 232 ( 2021-10), p. 120967-
    Details
    In: Energy, Elsevier BV, Vol. 232 ( 2021-10), p. 120967-
    Type of Medium: Online Resource
    ISSN: 0360-5442
    URL: Article
    DOI: 10.1016/j.energy.2021.120967
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 2019804-8
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 13
    Online Resource
    Online Resource
    The impact of climate change on Brazil's agriculture
    Elsevier BV ; 2020
    In:  Science of The Total Environment Vol. 740 ( 2020-10), p. 139384-
    Details
    In: Science of The Total Environment, Elsevier BV, Vol. 740 ( 2020-10), p. 139384-
    Type of Medium: Online Resource
    ISSN: 0048-9697
    URL: Article
    DOI: 10.1016/j.scitotenv.2020.139384
    RVK:
    AR 10100
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 1498726-0
    detail.hit.zdb_id: 121506-1
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 14
    Online Resource
    Online Resource
    Logging residues for charcoal production through forest management in the Brazilian Amazon: economic gains and forest regrowth effects
    IOP Publishing ; 2020
    In:  Environmental Research Letters Vol. 15, No. 11 ( 2020-11-01), p. 114029-
    Details
    In: Environmental Research Letters, IOP Publishing, Vol. 15, No. 11 ( 2020-11-01), p. 114029-
    Abstract: Sustainable forest management (SFM) practices can potentially reverse loss of forest cover due to deforestation, while concomitantly preserving and maintaining biodiversity, and stimulating jobs, income, and forest services. Recent studies found that significant logging residues (LR) (i.e. leaves, branches, and buttress roots) suitable for bioenergy production were often left in the felling area, triggering risks of forest fires and increased CO 2 emissions due to wildfires or decomposition processes. For impact assessment of forest management practices, we collected primary harvesting data and estimated net primary productivity (NPP) and net ecosystem exchange (NEE) for 13 forest plots in the Brazilian Amazon. We applied a process-based forestry growth model (BGC-Man) to analyze the impacts on forest dynamics of selective logging and removal of LR, subject to landscape, soil texture, and daily weather. We explored the following selective logging scenarios: the Legal Reserve (i.e. reference) scenario, a scenario with one cutting cycle over the whole period, and a scenario with three timber rotation periods of 30 yr. Two of the later scenarios were complemented with harvesting of the woody LR (Ø ⩾ 10 cm) for charcoal production. For each scenario, we computed forest NPP and NEE over a 120 yr time horizon. Results suggest that using woody LR (i.e. 77% of total LR) for charcoal production would result in an economic gain equivalent to 24%–46% of the timber price. Our findings indicate that under scenarios where LR were removed, forest NPP recovered to the reference level and even higher, while income and jobs from harvesting LR for charcoal production were generated. We conclude that SFM could enhance forest productivity and deliver economic benefit from otherwise unexploited LR.
    Type of Medium: Online Resource
    ISSN: 1748-9326
    URL: Article
    DOI: 10.1088/1748-9326/abb495
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2020
    detail.hit.zdb_id: 2255379-4
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 15
    Online Resource
    Online Resource
    Enhancing the provisioning of ecosystem services in South Korea under climate change: The benefits and pitfalls of current forest management strategies
    Springer Science and Business Media LLC ; 2021
    In:  Regional Environmental Change Vol. 21, No. 1 ( 2021-03)
    Details
    In: Regional Environmental Change, Springer Science and Business Media LLC, Vol. 21, No. 1 ( 2021-03)
    Type of Medium: Online Resource
    ISSN: 1436-3798 , 1436-378X
    URL: Article
    DOI: 10.1007/s10113-020-01728-0
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 1480672-1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 16
    Online Resource
    Online Resource
    Regional Variability and Driving Forces behind Forest Fires in Sweden
    MDPI AG ; 2022
    In:  Remote Sensing Vol. 14, No. 22 ( 2022-11-17), p. 5826-
    Details
    In: Remote Sensing, MDPI AG, Vol. 14, No. 22 ( 2022-11-17), p. 5826-
    Abstract: Extreme forest fires have been a historic concern in the forests of Canada, the Russian Federation, and the USA, and are now an increasing threat in boreal Europe, where recent fire events in 2014 and 2018 drew attention to Sweden. Our study objective was to understand the vulnerability of Swedish forests to fire by spatially analyzing historical burned areas, and to link fire events with weather, landscape, and fire-related socioeconomic factors. We developed an extensive database of 1 × 1 km2 homogenous grids, where monthly burned areas were derived from the MODIS FireCCI51 dataset. The database consists of various socio-economic, topographic-, forest-, and weather-related remote sensing products. To include new factors in the IIASA’s FLAM model, we developed a random forest model to assess the spatial probabilities of burned areas. Due to Sweden’s geographical diversity, fire dynamics vary between six biogeographical zones. Therefore, the model was applied to each zone separately. As an outcome, we obtained probabilities of burned areas in the forests across Sweden and observed burned areas were well captured by the model. The result accuracy differs with respect to zone; the area under the curve (AUC) was 0.875 and 0.94 for zones with few fires, but above 0.95 for zones with a higher number of fire events. Feature importance analysis and their variability across Sweden provide valuable information to understand the reasons behind forest fires. The Fine Fuel Moisture Code, population and road densities, slope and aspect, and forest stand volume were found to be among the key fire-related factors in Sweden. Our modeling approach can be extended to hotspot mapping in other boreal regions and thus is highly policy-relevant. Visualization of our results is available in the Google Earth Engine Application.
    Type of Medium: Online Resource
    ISSN: 2072-4292
    URL: Article
    DOI: 10.3390/rs14225826
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2513863-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 17
    Online Resource
    Online Resource
    Applying a science‐based systems perspective to dispel misconceptions about climate effects of forest bioenergy
    Wiley ; 2021
    In:  GCB Bioenergy Vol. 13, No. 8 ( 2021-08), p. 1210-1231
    Details
    In: GCB Bioenergy, Wiley, Vol. 13, No. 8 ( 2021-08), p. 1210-1231
    Abstract: The scientific literature contains contrasting findings about the climate effects of forest bioenergy, partly due to the wide diversity of bioenergy systems and associated contexts, but also due to differences in assessment methods. The climate effects of bioenergy must be accurately assessed to inform policy‐making, but the complexity of bioenergy systems and associated land, industry and energy systems raises challenges for assessment. We examine misconceptions about climate effects of forest bioenergy and discuss important considerations in assessing these effects and devising measures to incentivize sustainable bioenergy as a component of climate policy. The temporal and spatial system boundary and the reference (counterfactual) scenarios are key methodology choices that strongly influence results. Focussing on carbon balances of individual forest stands and comparing emissions at the point of combustion neglect system‐level interactions that influence the climate effects of forest bioenergy. We highlight the need for a systems approach, in assessing options and developing policy for forest bioenergy that: (1) considers the whole life cycle of bioenergy systems, including effects of the associated forest management and harvesting on landscape carbon balances; (2) identifies how forest bioenergy can best be deployed to support energy system transformation required to achieve climate goals; and (3) incentivizes those forest bioenergy systems that augment the mitigation value of the forest sector as a whole. Emphasis on short‐term emissions reduction targets can lead to decisions that make medium‐ to long‐term climate goals more difficult to achieve. The most important climate change mitigation measure is the transformation of energy, industry and transport systems so that fossil carbon remains underground. Narrow perspectives obscure the significant role that bioenergy can play by displacing fossil fuels now, and supporting energy system transition. Greater transparency and consistency is needed in greenhouse gas reporting and accounting related to bioenergy.
    Type of Medium: Online Resource
    ISSN: 1757-1693 , 1757-1707
    URL: Issue
    URL: Article
    DOI: 10.1111/gcbb.v13.8
    DOI: 10.1111/gcbb.12844
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2495051-8
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 18
    Online Resource
    Online Resource
    The Return of Nature to the Chernobyl Exclusion Zone: Increases in Forest Cover of 1.5 Times Since the 1986 Disaster
    MDPI AG ; 2021
    In:  Forests Vol. 12, No. 8 ( 2021-07-31), p. 1024-
    Details
    In: Forests, MDPI AG, Vol. 12, No. 8 ( 2021-07-31), p. 1024-
    Abstract: For 34 years since the 1986 nuclear disaster, the Chernobyl Exclusion Zone (ChEZ) landscapes have been protected with very limited human interventions. Natural afforestation has largely occurred throughout the abandoned farmlands, while natural disturbance regimes, which dominantly include wildfires, have become more frequent and severe in the last years. Here, we utilize the dense time series of Landsat satellite imagery (1986–2020) processed by using the temporal segmentation algorithm LandTrendr in order to derive a robust land cover and forest mask product for the ChEZ. Additionally, we carried out an analysis of land cover transitions on the former farmlands. The Random Forest classification model developed here has achieved overall accuracies of 80% (using training data for 2017) and 89% on a binary “forest/non-forest” validation (using data from 1988). The total forest cover area within the ChEZ has increased from 41% (in 1986) to 59% (in 2020). This forest gain can be explained by the afforestation that has occurred in abandoned farmlands, which compensates for forest cover losses due to large fire events in 1992, 2015–2016, and 2020. Most transitions from open landscapes to dense forest cover occurred after the year 2000 and are possibly linked to past forest management practices. We conclude that a consistent forest strategy, with the aid of remote monitoring, is required to efficiently manage new forests in the ChEZ in order to retain their ecosystem functions and to ensure sustainable habitats.
    Type of Medium: Online Resource
    ISSN: 1999-4907
    URL: Article
    DOI: 10.3390/f12081024
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2527081-3
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 19
    Online Resource
    Online Resource
    A Modelling System for Dead Wood Assessment in the Forests of Northern Eurasia
    MDPI AG ; 2022
    In:  Forests Vol. 14, No. 1 ( 2022-12-26), p. 45-
    Details
    In: Forests, MDPI AG, Vol. 14, No. 1 ( 2022-12-26), p. 45-
    Abstract: Dead wood, including coarse woody debris, CWD, and fine woody debris, FWD, plays a substantial role in forest ecosystem functioning. However, the amount and dynamics of dead wood in the forests of Northern Eurasia are poorly understood. The aim of this study was to develop a spatially distributed modelling system (limited to the territories of the former Soviet Union) to assess the amount and structure of dead wood by its components (including snags, logs, stumps, and the dry branches of living trees) based on the most comprehensive database of field measurements to date. The system is intended to be used to assess the dead wood volume and the amount of dead wood in carbon units as part of the carbon budget calculation of forests at different scales. It is presented using multi-dimensional regression equations of dead wood expansion factors (DWEF)—the ratio of the dead wood component volume to the growing stock volume of the stands. The system can be also used for the accounting of dead wood stock and its dynamics in national greenhouse gas inventories and UNFCCC reporting. The system’s accuracy is satisfactory for the average level of disturbance regimes but it may require corrections for regions with accelerated disturbance regimes.
    Type of Medium: Online Resource
    ISSN: 1999-4907
    URL: Article
    DOI: 10.3390/f14010045
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2527081-3
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 20
    Online Resource
    Online Resource
    Spatial prioritization for biodiversity conservation in a megadiverse country
    Elsevier BV ; 2020
    In:  Anthropocene Vol. 32 ( 2020-12), p. 100267-
    Details
    In: Anthropocene, Elsevier BV, Vol. 32 ( 2020-12), p. 100267-
    Type of Medium: Online Resource
    ISSN: 2213-3054
    URL: Article
    DOI: 10.1016/j.ancene.2020.100267
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 2712850-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...