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  1. Article ; Online: A regional approach to save the Amazon.

    Peña-Claros, Marielos / Nobre, Carlos

    Science (New York, N.Y.)

    2023  Volume 381, Issue 6664, Page(s) 1261

    Abstract: Early in August this year, a high-profile summit was held in Belém, Brazil, where the eight Amazonian countries discussed the future of the Amazon. The nations recognized that the Amazon is very close to reaching a tipping point for turning into a ... ...

    Abstract Early in August this year, a high-profile summit was held in Belém, Brazil, where the eight Amazonian countries discussed the future of the Amazon. The nations recognized that the Amazon is very close to reaching a tipping point for turning into a degraded ecosystem. The result of their discussions was the Belém Declaration, an ambitious plan to protect and conserve the Amazon forests and to support Indigenous Peoples and local communities. Concern arose, however, because they failed to agree on attaining zero deforestation by 2030 and on avoiding new explorations in the Amazon for fossil fuel. The Declaration also lacks specific and measurable indicators. The ministers of Foreign Affairs therefore have a very important role in further refining the agenda and deadlines so that the Belém Declaration can be implemented.
    MeSH term(s) Humans ; Brazil ; Forests ; Fossil Fuels ; Indigenous Peoples ; Conservation of Natural Resources
    Chemical Substances Fossil Fuels
    Language English
    Publishing date 2023-09-21
    Publishing country United States
    Document type Editorial
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.adk8794
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 27: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MG 77: Show issues

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  2. Article ; Online: A regional approach to save the Amazon

    Peña-Claros, Marielos / Nobre, Carlos

    Science (New York, N.Y.)

    2023  Volume 381, Issue 6664

    Abstract: Early in August this year, a high-profile summit was held in Belém, Brazil, where the eight Amazonian countries discussed the future of the Amazon. The nations recognized that the Amazon is very close to reaching a tipping point for turning into a ... ...

    Abstract Early in August this year, a high-profile summit was held in Belém, Brazil, where the eight Amazonian countries discussed the future of the Amazon. The nations recognized that the Amazon is very close to reaching a tipping point for turning into a degraded ecosystem. The result of their discussions was the Belém Declaration, an ambitious plan to protect and conserve the Amazon forests and to support Indigenous Peoples and local communities. Concern arose, however, because they failed to agree on attaining zero deforestation by 2030 and on avoiding new explorations in the Amazon for fossil fuel. The Declaration also lacks specific and measurable indicators. The ministers of Foreign Affairs therefore have a very important role in further refining the agenda and deadlines so that the Belém Declaration can be implemented.
    Keywords Life Science
    Language English
    Publishing country nl
    Document type Article ; Online
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 27: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MG 77: Show issues

    Order via subito

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  3. Book ; Online: To Avert a Tipping Point

    Pena Claros, Marielos

    Launch of the Amazon Assessment Report

    2021  

    Keywords Life Science
    Publishing country nl
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: More than 10,000 species risk extinction in Amazon, says landmark report

    Pena Claros, Marielos

    2021  

    Keywords Life Science
    Publishing country nl
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Book ; Online: Over 10,000 species risk extinction in Amazon rainforest, says landmark report

    Pena Claros, Marielos

    2021  

    Keywords Life Science
    Publishing country nl
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  6. Book ; Online: Over 10,000 species risk extinction in Amazon, says landmark report

    Pena Claros, Marielos

    2021  

    Keywords Life Science
    Publishing country nl
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  7. Book ; Online: Regenerating forests contribute to maintaining the diversity of tropical species and biomes in the Americas

    Pena Claros, Marielos / Poorter, Lourens

    2022  

    Keywords Life Science
    Publishing country nl
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  8. Book ; Online: Wanneer kantelt de Amazone?

    Pena Claros, Marielos / Scheffer, Marten

    2022  

    Keywords Life Science
    Publishing country nl
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  9. Book ; Online: The Amazon we want (External organisation)

    Pena Claros, Marielos

    2019  

    Abstract: Member of the Science Panel for the ... ...

    Abstract Member of the Science Panel for the Amazon
    Keywords Life Science
    Publishing country nl
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

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  10. Article ; Online: Monitoring direct drivers of small-scale tropical forest disturbance in near real-time with Sentinel-1 and -2 data

    Slagter, Bart / Reiche, Johannes / Marcos, Diego / Mullissa, Adugna / Lossou, Etse / Peña-Claros, Marielos / Herold, Martin

    Remote Sensing of Environment. 2023 Sept., v. 295 p.113655-

    2023  

    Abstract: Advancements in satellite-based forest monitoring increasingly enable the near real-time detection of small-scale tropical forest disturbances. However, there is an urgent need to enhance such monitoring methods with automated direct driver attributions ... ...

    Abstract Advancements in satellite-based forest monitoring increasingly enable the near real-time detection of small-scale tropical forest disturbances. However, there is an urgent need to enhance such monitoring methods with automated direct driver attributions to detected disturbances. This would provide important additional information to make forest disturbance alerts more actionable and useful for uptake by different stakeholders. In this study, we demonstrate spatially explicit and near real-time methods to monitor direct drivers of small-scale tropical forest disturbance across a range of tropical forest conditions in Suriname, the Republic of the Congo and the Democratic Republic of the Congo. We trained a convolutional neural network with Sentinel-1 and Sentinel-2 data to continuously classify newly detected RAdar for Detecting Deforestation (RADD) alerts as smallholder agriculture, road development, selective logging, mining or other. Different monitoring scenarios were evaluated based on varying sensor combinations, post-disturbance time periods and confidence levels. In general, the use of Sentinel-2 data was found to be most accurate for driver classifications, especially with data composited over a period of 4 to 6 months after the disturbance detection. Sentinel-1 data showed to be valuable for more rapid classifications of specific drivers, especially in areas with persistent cloud cover. Throughout all monitoring scenarios, smallholder agriculture was classified most accurately, while road development, selective logging and mining were more challenging to distinguish. An accuracy assessment throughout the full extent of our study regions revealed a Macro-F1 score of 0.861 and an Overall Accuracy of 0.897 for the best performing model, based on the use of 6-month post-disturbance Sentinel-2 composites. Finally, we addressed three specific monitoring use cases that relate to rapid law enforcement against illegal activities, ecological impact assessments and timely carbon emission reporting, by optimizing the trade-off in classification timeliness and confidence to reach required accuracies. Our findings demonstrate the strong capacities of high spatiotemporal resolution satellite data for monitoring direct drivers of small-scale forest disturbance, considering different user interests. The produced forest disturbance driver maps can be accessed via: https://bartslagter94.users.earthengine.app/view/forest-disturbance-drivers.
    Keywords automation ; carbon ; cloud cover ; deforestation ; environment ; environmental impact ; forest damage ; law enforcement ; neural networks ; radar ; remote sensing ; satellites ; small-scale farming ; stakeholders ; tropical forests ; Democratic Republic of the Congo ; Republic of the Congo ; Suriname ; Tropical forest ; Small-scale forest disturbance ; Forest degradation ; Near real-time monitoring ; Driver attribution ; Deep learning ; Smallholder agriculture ; Road development ; Selective logging ; Mining
    Language English
    Dates of publication 2023-09
    Publishing place Elsevier Inc.
    Document type Article ; Online
    ZDB-ID 431483-9
    ISSN 0034-4257
    ISSN 0034-4257
    DOI 10.1016/j.rse.2023.113655
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    984/1289: Show issues
    Z 2005/734: Show issues

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