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  • 1
    Online Resource
    Online Resource
    Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward
    Wiley ; 2018
    In:  Remote Sensing in Ecology and Conservation Vol. 4, No. 2 ( 2018-06), p. 71-93
    Details
    In: Remote Sensing in Ecology and Conservation, Wiley, Vol. 4, No. 2 ( 2018-06), p. 71-93
    Abstract: Societal, economic and scientific interests in knowing where biodiversity is, how it is faring and what can be done to efficiently mitigate further biodiversity loss and the associated loss of ecosystem services are at an all‐time high. So far, however, biodiversity monitoring has primarily focused on structural and compositional features of ecosystems despite growing evidence that ecosystem functions are key to elucidating the mechanisms through which biological diversity generates services to humanity. This monitoring gap can be traced to the current lack of consensus on what exactly ecosystem functions are and how to track them at scales beyond the site level. This contribution aims to advance the development of a global biodiversity monitoring strategy by proposing the adoption of a set of definitions and a typology for ecosystem functions, and reviewing current opportunities and potential limitations for satellite remote sensing technology to support the monitoring of ecosystem functions worldwide. By clearly defining ecosystem processes, functions and services and their interrelationships, we provide a framework to improve communication between ecologists, land and marine managers, remote sensing specialists and policy makers, thereby addressing a major barrier in the field.
    Type of Medium: Online Resource
    ISSN: 2056-3485 , 2056-3485
    URL: Issue
    URL: Article
    DOI: 10.1002/rse2.2018.4.issue-2
    DOI: 10.1002/rse2.59
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2825232-9
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  • 2
    Online Resource
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    Protection status and national socio‐economic context shape land conversion in and around a key transboundary protected area complex in West Africa
    Wiley ; 2017
    In:  Remote Sensing in Ecology and Conservation Vol. 3, No. 4 ( 2017-12)
    Details
    In: Remote Sensing in Ecology and Conservation, Wiley, Vol. 3, No. 4 ( 2017-12)
    Abstract: Transboundary cooperation is being promoted as an effective way to conserve biodiversity that straddles national borders. However, monitoring the ecological outcomes of these large‐scale endeavours is challenging, and as a result, the factors and processes likely to shape their effectiveness remain poorly identified and understood. To address this knowledge gap, we tested three hypotheses pertaining to natural vegetation loss across the W‐Arly‐Pendjari protected area complex, a key biodiversity hotspot in West Africa. Using a new methodology to compare land cover change across large remote areas where independent validation data is unevenly distributed across time, we demonstrate widespread agricultural expansion outside protected areas over the past 13 years. Protected areas with high protection status appear considerably more effective at preventing land conversion than other protected areas. We moreover report marked differences in cropland expansion rates between countries, which we suggest may be linked to differences in rural population growth. Altogether, our results suggest that there can be considerable spatial heterogeneity in anthropogenic pressure across transboundary protected area complexes and call for more comprehensive assessments that capitalize on the current availability of remote sensing information.
    Type of Medium: Online Resource
    ISSN: 2056-3485 , 2056-3485
    URL: Issue
    URL: Article
    DOI: 10.1002/rse2.2017.3.issue-4
    DOI: 10.1002/rse2.47
    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 2825232-9
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  • 3
    Online Resource
    Online Resource
    Combining optical and radar satellite image time series to map natural vegetation: savannas as an example
    Wiley ; 2020
    In:  Remote Sensing in Ecology and Conservation Vol. 6, No. 3 ( 2020-09), p. 316-326
    Details
    In: Remote Sensing in Ecology and Conservation, Wiley, Vol. 6, No. 3 ( 2020-09), p. 316-326
    Abstract: Up‐to‐date land cover maps are important for biodiversity monitoring as they are central to habitat and ecosystem distribution assessments. Satellite remote sensing is a key technology for generating these maps. Until recently, land cover mapping has been limited to static approaches, which have primarily led to the production of either global maps at coarse spatial resolutions or geographically restricted maps at high spatial resolutions. The recent availability of optical (Sentinel‐2) and radar (Sentinel‐1) satellite image time series ( SITS ) which provide access to high spatial and very high temporal resolutions, is a game changer, offering opportunities to map land cover using both temporal and spatial information. These data moreover open interesting perspectives for land cover mapping based on data combination approach. However, the usefulness of combining dense time series (more than 30 images per year) and data combination approaches to map natural vegetation has so far not been assessed. To address this gap, this contribution tests the idea that the combined consideration of optical and radar data combination and time series analyses can significantly improve natural vegetation mapping in the Pendjari National Park, a Sahelian savanna protected area in Benin. Results highlight that the combination of Sentinel‐1 and Sentinel‐2 SITS performs as well as Sentinel‐2 SITS alone in terms of classification accuracy. Land cover maps are however qualitatively better when considering the data combination approach. Our results also clearly show that the use of dense/hypertemporal optical time series significantly improves classification outcomes compared to using multitemporal only a few images per year) or monotemporal data. Altogether, this work thus demonstrates the ability of dense SITS to improve discrimination of natural vegetation types using information on their phenology, leading to more detailed and more reliable maps for environmental management.
    Type of Medium: Online Resource
    ISSN: 2056-3485 , 2056-3485
    URL: Issue
    URL: Article
    DOI: 10.1002/rse2.v6.3
    DOI: 10.1002/rse2.139
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2825232-9
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  • 4
    Online Resource
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    From satellite data to operational conservation tools
    California Digital Library (CDL) ; 2019
    In:  Frontiers of Biogeography Vol. 11, No. 1 ( 2019-04-30)
    Details
    In: Frontiers of Biogeography, California Digital Library (CDL), Vol. 11, No. 1 ( 2019-04-30)
    Type of Medium: Online Resource
    ISSN: 1948-6596
    URL: Article
    DOI: 10.21425/F5FBG42955
    Language: Unknown
    Publisher: California Digital Library (CDL)
    Publication Date: 2019
    detail.hit.zdb_id: 2724228-6
    SSG: 12
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  • 5
    Online Resource
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    Improving Predictions of Climate Change–Land Use Change Interactions
    Elsevier BV ; 2021
    In:  Trends in Ecology & Evolution Vol. 36, No. 1 ( 2021-01), p. 29-38
    Details
    In: Trends in Ecology & Evolution, Elsevier BV, Vol. 36, No. 1 ( 2021-01), p. 29-38
    Type of Medium: Online Resource
    ISSN: 0169-5347
    URL: Article
    DOI: 10.1016/j.tree.2020.08.019
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 1498910-4
    SSG: 12
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  • 6
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    Can reindeer husbandry management slow down the shrubification of the Arctic?
    Elsevier BV ; 2020
    In:  Journal of Environmental Management Vol. 267 ( 2020-08), p. 110636-
    Details
    In: Journal of Environmental Management, Elsevier BV, Vol. 267 ( 2020-08), p. 110636-
    Type of Medium: Online Resource
    ISSN: 0301-4797
    URL: Article
    DOI: 10.1016/j.jenvman.2020.110636
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 1469206-5
    SSG: 12
    SSG: 14
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  • 7
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    Current and future opportunities for satellite remote sensing to inform rewilding
    Wiley ; 2023
    In:  Remote Sensing in Ecology and Conservation Vol. 9, No. 3 ( 2023-06), p. 301-310
    Details
    In: Remote Sensing in Ecology and Conservation, Wiley, Vol. 9, No. 3 ( 2023-06), p. 301-310
    Abstract: Rewilding has been suggested as an effective strategy for addressing environmental challenges such as the intertwined biodiversity and climate change crises, but there is little information to guide the monitoring of rewilding projects. Since rewilding focuses on enhancing ecosystem functionality, with no defined endpoint, monitoring strategies used in restoration are often inappropriate, as they typically focus on assessing species composition, or the ecological transition of an ecosystem towards a defined desired state. We here discuss how satellite remote sensing can provide an opportunity to address existing knowledge and data gaps in rewilding science. We first discuss how satellite remote sensing is currently being used to inform rewilding initiatives and highlight current barriers to the adoption of this type of technology by practitioners and scientists involved with rewilding. We then identify opportunities for satellite remote sensing to help address current knowledge gaps in rewilding, including gaining a better understanding of the role of animals in ecosystem functioning; improving the monitoring of landscape‐scale connectivity; and assessing the impacts of rewilding on the conservation status of rewilded sites. Though significant barriers remain to the widespread use of satellite remote sensing to monitor rewilding projects, we argue that decisions on monitoring approaches and priorities need to be part of implementation plans from the start, involving both remote sensing experts and ecologists. Making use of the full potential of satellite remote sensing for rewilding ultimately requires integrating species and ecosystem perspectives at the monitoring, knowledge‐producing and decision‐making levels. Such an integration will require a change in know‐how, necessitating increased inter‐disciplinary interactions and collaborations, as well as conceptual shifts in communities and organizations traditionally involved in biodiversity conservation.
    Type of Medium: Online Resource
    ISSN: 2056-3485 , 2056-3485
    URL: Issue
    URL: Article
    DOI: 10.1002/rse2.v9.3
    DOI: 10.1002/rse2.321
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2825232-9
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  • 8
    Online Resource
    Online Resource
    What shapes fire size and spread in African savannahs?
    Wiley ; 2021
    In:  Remote Sensing in Ecology and Conservation Vol. 7, No. 4 ( 2021-12), p. 610-620
    Details
    In: Remote Sensing in Ecology and Conservation, Wiley, Vol. 7, No. 4 ( 2021-12), p. 610-620
    Abstract: Fires play an important role in savannah ecosystems, shaping among other things vegetation structure and altering species composition. As direct and indirect anthropogenic pressures on these ecosystems increase, fire dynamics in savannahs are expected to change in the coming decades, with potential impacts on ecosystem functioning. Although the ecological impacts of fires are relatively well‐known, the factors that shape fire dynamics in these ecosystems have received less research attention. Using Pendjari National Park (Benin) as a case study, we assessed the importance of different biotic and abiotic factors in shaping fire size and spread in the region. Our results show that fires spread faster (1) in the middle of the dry season compared to the early or late dry season, (2) in areas that are far away from natural and anthropogenic firebreaks, and (3) in areas that are covered with highly flammable vegetation. By contrast, most vegetation types had little influence on fire size, which seems to depend instead on rainfall. Our approach and results highlight new avenues for satellite data to improve our understanding of fire dynamics in large, remote savannah ecosystems and to improve our ability to predict how fires spread, a key variable for wildlife management in the face of rapidly changing environmental conditions.
    Type of Medium: Online Resource
    ISSN: 2056-3485 , 2056-3485
    URL: Issue
    URL: Article
    DOI: 10.1002/rse2.v7.4
    DOI: 10.1002/rse2.212
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2825232-9
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  • 9
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    Online Resource
    Better together: Integrating and fusing multispectral and radar satellite imagery to inform biodiversity monitoring, ecological research and conservation science
    Wiley ; 2018
    In:  Methods in Ecology and Evolution Vol. 9, No. 4 ( 2018-04), p. 849-865
    Details
    In: Methods in Ecology and Evolution, Wiley, Vol. 9, No. 4 ( 2018-04), p. 849-865
    Abstract: The availability and accessibility of multispectral and radar satellite remote sensing ( SRS ) imagery are at an unprecedented high. These data have both become standard source of information for investigating species ecology and ecosystems structure, composition and function at large scales. Since they capture complementary aspects of the Earth's surface, synergies between these two types of imagery have the potential to greatly expand research and monitoring opportunities. However, despite the benefits of combining multispectral and radar SRS data, data fusion techniques, including image fusion, are not commonly used in biodiversity monitoring, ecology and conservation. To help close this application gap, we provide for the first time an overview of the most common SRS data fusion techniques, discussing their benefits and drawbacks, and pull together case studies illustrating the added value for biodiversity research and monitoring. Integrating and fusing multispectral and radar images can significantly improve our ability to assess the distribution as well as the horizontal and vertical structure of ecosystems. Additionally, SRS data fusion has the potential to increase opportunities for mapping species distribution and community composition, as well as for monitoring threats to biodiversity. Uptake of these techniques will benefit from more effective collaboration between remote sensing and biodiversity experts, making the reporting of methodologies more transparent, expanding SRS image processing capacity and promoting widespread open access to satellite imagery. In the context of a global biodiversity crisis, being able to track subtle changes in the biosphere across adequate spatial and temporal extents and resolutions is crucial. By making key parameter estimates derived from SRS data more accurate, SRS data fusion promises to become a powerful tool to help address current monitoring needs, and could support the development of essential biodiversity variables.
    Type of Medium: Online Resource
    ISSN: 2041-210X , 2041-210X
    URL: Issue
    URL: Article
    DOI: 10.1111/mee3.2018.9.issue-4
    DOI: 10.1111/2041-210X.12942
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2528492-7
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  • 10
    Online Resource
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    Perspectives: Predicting the effects of climate change on ancient woodlands when it interacts with pressures from surrounding land use/land cover
    Elsevier BV ; 2023
    In:  Forest Ecology and Management Vol. 544 ( 2023-09), p. 121236-
    Details
    In: Forest Ecology and Management, Elsevier BV, Vol. 544 ( 2023-09), p. 121236-
    Type of Medium: Online Resource
    ISSN: 0378-1127
    URL: Article
    DOI: 10.1016/j.foreco.2023.121236
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2016648-5
    detail.hit.zdb_id: 751138-3
    SSG: 23
    SSG: 12
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