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  • 1
    Online-Ressource
    Online-Ressource
    Time to integrate global climate change and biodiversity science‐policy agendas
    Wiley ; 2021
    In:  Journal of Applied Ecology Vol. 58, No. 11 ( 2021-11), p. 2384-2393
    Details
    In: Journal of Applied Ecology, Wiley, Vol. 58, No. 11 ( 2021-11), p. 2384-2393
    Kurzfassung: There is an increasing recognition that, although the climate change and biodiversity crises are fundamentally connected, they have been primarily addressed independently and a more integrated global approach is essential to tackle these two global challenges. Nature‐based Solutions (NbS) are hailed as a pathway for promoting synergies between the climate change and biodiversity agendas. There are, however, uncertainties and difficulties associated with the implementation of NbS, while the evidence regarding their benefits for biodiversity remains limited. We identify five key research areas where incomplete or poor information hinders the development of integrated biodiversity and climate solutions. These relate to refining our understanding of how climate change mitigation and adaptation approaches benefit biodiversity conservation; enhancing our ability to track and predict ecosystems on the move and/or facing collapse; improving our capacity to predict the impacts of climate change on the effectiveness of NbS; developing solutions that match the temporal, spatial and functional scale of the challenges; and developing a comprehensive and practical framework for assessing, and mitigating against, the risks posed by the implementation of NbS. Policy implications . The Conference of the Parties (COP) for the United Nations Framework Convention on Climate Change (COP26) and the Convention on Biological Diversity (COP15) present a clear policy window for developing coherent policy frameworks that align targets across the nexus of biodiversity and climate change. This window should (a) address the substantial and chronic underfunding of global biodiversity conservation, (b) remove financial incentives that negatively impact biodiversity and/or climate change, (c) develop higher levels of integration between the biodiversity and climate change agendas, (d) agree on a monitoring framework that enables the standardised quantification and comparison of biodiversity gains associated with NbS across ecosystems and over time and (e) rethink environmental legislation to better support biodiversity conservation in times of rapid climatic change.
    Materialart: Online-Ressource
    ISSN: 0021-8901 , 1365-2664
    URL: Issue
    URL: Article
    DOI: 10.1111/jpe.v58.11
    DOI: 10.1111/1365-2664.13985
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2021
    ZDB Id: 2020408-5
    ZDB Id: 410405-5
    SSG: 12
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    Online-Ressource
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    Matching data sets from two different spatial samples
    Wiley ; 2002
    In:  Journal of Vegetation Science Vol. 13, No. 6 ( 2002-12), p. 867-874
    Details
    In: Journal of Vegetation Science, Wiley, Vol. 13, No. 6 ( 2002-12), p. 867-874
    Kurzfassung: Abstract. Methods for coupling two data sets (species composition and environmental variables for example) are well known and often used in ecology. All these methods require that variables of the two data sets have been recorded at the same sample stations. But if the two data sets arise from different sample schemes, sample locations can be different. In this case, scientists usually transform one data set to conform with the other one that is chosen as a reference. This inevitably leads to some loss of information. We propose a new ordination method, named spatial‐RLQ analysis, for coupling two data sets with different spatial sample techniques. Spatial‐RLQ analysis is an extension of co‐inertia analysis and is based on neighbourhood graph theory and classical RLQ analysis. This analysis finds linear combinations of variables of the two data sets which maximize the spatial cross‐covariance. This provides a co‐ordination of the two data sets according to their spatial relationships. A vegetation study concerning the forest of Chizé (western France) is presented to illustrate the method.
    Materialart: Online-Ressource
    ISSN: 1100-9233 , 1654-1103
    URL: Issue
    URL: Article
    DOI: 10.1111/jvs.2002.13.issue-6
    DOI: 10.1111/j.1654-1103.2002.tb02116.x
    RVK:
    WA 15000
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2002
    ZDB Id: 2047714-4
    ZDB Id: 1053769-7
    SSG: 12
    SSG: 23
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 3
    Online-Ressource
    Online-Ressource
    The relative role of winter and spring conditions: linking climate and landscape-scale plant phenology to alpine reindeer body mass
    The Royal Society ; 2005
    In:  Biology Letters Vol. 1, No. 1 ( 2005-03-22), p. 24-26
    Details
    In: Biology Letters, The Royal Society, Vol. 1, No. 1 ( 2005-03-22), p. 24-26
    Kurzfassung: The relative importance of winter harshness and early summer foraging conditions are of prime interest when assessing the effect of global warming on artic and mountainous ecosystems. We explored how climate and vegetation onset (satellite-derived Normalized Difference Vegetation Index data) determined individual performance in three reindeer populations (data on 27 814 calves sampled over 11 years). Snow conditions, spring temperatures and topography were the main determinants of the onset of the vegetation. An earlier onset positively affected the body mass of calves born the following autumn, while there was no significant direct negative impact of the previous winter. This study underlines the major impact of winter and spring climatic conditions, determining the spring and summer food availability, and the subsequent growth of calves among alpine herbivores.
    Materialart: Online-Ressource
    ISSN: 1744-9561 , 1744-957X
    URL: Article
    DOI: 10.1098/rsbl.2004.0262
    Sprache: Englisch
    Verlag: The Royal Society
    Publikationsdatum: 2005
    ZDB Id: 2103283-X
    SSG: 12
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 4
    Online-Ressource
    Online-Ressource
    The value of small mangrove patches
    American Association for the Advancement of Science (AAAS) ; 2019
    In:  Science Vol. 363, No. 6424 ( 2019-01-18), p. 239-239
    Details
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 363, No. 6424 ( 2019-01-18), p. 239-239
    Materialart: Online-Ressource
    ISSN: 0036-8075 , 1095-9203
    URL: Article
    DOI: 10.1126/science.aaw0809
    RVK:
    TA 1000
    RVK:
    WA 15000
    Sprache: Englisch
    Verlag: American Association for the Advancement of Science (AAAS)
    Publikationsdatum: 2019
    ZDB Id: 128410-1
    ZDB Id: 2066996-3
    ZDB Id: 2060783-0
    SSG: 11
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 5
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    Monitoring biodiversity change through effective global coordination
    Elsevier BV ; 2017
    In:  Current Opinion in Environmental Sustainability Vol. 29 ( 2017-12), p. 158-169
    Details
    In: Current Opinion in Environmental Sustainability, Elsevier BV, Vol. 29 ( 2017-12), p. 158-169
    Materialart: Online-Ressource
    ISSN: 1877-3435
    URL: Article
    DOI: 10.1016/j.cosust.2018.02.005
    Sprache: Englisch
    Verlag: Elsevier BV
    Publikationsdatum: 2017
    ZDB Id: 2514810-2
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 6
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    Online-Ressource
    Satellite remote sensing to monitor mangrove forest resilience and resistance to sea level rise
    Wiley ; 2018
    In:  Methods in Ecology and Evolution Vol. 9, No. 8 ( 2018-08), p. 1837-1852
    Details
    In: Methods in Ecology and Evolution, Wiley, Vol. 9, No. 8 ( 2018-08), p. 1837-1852
    Kurzfassung: Coastal ecosystems, such as mangroves, provide key ecosystem services for climate change mitigation and adaptation. However, combined anthropogenic activities and climatic change‐driven sea level rise ( SLR ) pose a severe threat to their global persistence, and to the continued delivery of these services. Mangrove vulnerability to SLR depends upon capacity for both resilience (landward migration) and resistance (maintained functioning with the existing distribution), which are in turn hindered by extractive activities and coastal infrastructure development. Limited landscape‐scale data availability means existing SLR vulnerability assessment frameworks lack rigorous quantification of these discrete processes. Here we develop and implement a novel multi‐product (multispectral, microwave, derived‐product) open‐access satellite remote sensing approach to assess both coastal ecosystem SLR resilience and resistance capacity in multiple mangrove sites across the world, and landscape‐level and anthropogenic factors driving these capacities. Our approach allows comparative ranking of resilience and resistance capacities across sites, based on relative observed ecosystem change (biomass, distribution) and in constraints to these two components of SLR vulnerability. We observe mostly low SLR resilience and resistance across our case study sites. Furthermore, we find that site‐specific resilience and resistance capacities and constraints can be highly incongruent, highlighting the importance of comprehensive SLR vulnerability monitoring for effective management. High within‐site variation was also detected in resilience and resistance capacities and their constraints. This underlines the importance of spatially explicit monitoring at extensive spatial scales to inform decision making. The methodology developed and repeat‐pass imagery employed adds to the remote monitoring and assessment toolkit for adaptive coastal ecosystem management under SLR , providing a new approach to inform conservation and management priority assessments in data‐deficient regions.
    Materialart: Online-Ressource
    ISSN: 2041-210X , 2041-210X
    URL: Issue
    URL: Article
    DOI: 10.1111/mee3.2018.9.issue-8
    DOI: 10.1111/2041-210X.12923
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2018
    ZDB Id: 2528492-7
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 7
    Online-Ressource
    Online-Ressource
    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
    Kurzfassung: 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.
    Materialart: Online-Ressource
    ISSN: 2041-210X , 2041-210X
    URL: Issue
    URL: Article
    DOI: 10.1111/mee3.2018.9.issue-4
    DOI: 10.1111/2041-210X.12942
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2018
    ZDB Id: 2528492-7
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  • 8
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    A New Framework to Assess Relative Ecosystem Vulnerability to Climate Change
    Wiley ; 2018
    In:  Conservation Letters Vol. 11, No. 2 ( 2018-03)
    Details
    In: Conservation Letters, Wiley, Vol. 11, No. 2 ( 2018-03)
    Kurzfassung: Climate change poses a growing risk to global biodiversity. To prioritize conservation efforts, identification of the species and ecosystems most at risk from further changes in climatic conditions is critically needed. Although frameworks are available to assess species vulnerability to climate change, we still lack an easily implementable, ecosystem‐level perspective to inform landscape management. Here, we introduce a novel, spatially explicit vulnerability framework able to generate assessments at the ecosystem scale and apply it to Mozambican forest mangroves, which are under growing pressures from climate change. Results show that most of these ecosystems are currently highly vulnerable to sea level rise, while mangroves in the Zambezia and Nampula districts are highly vulnerable to both sea level rise and tropical storms. Altogether, we believe the introduced assessment framework has clear potential to inform conservation planning and management at various spatial scales, and help achieve adaptive management in the face of climatic uncertainties.
    Materialart: Online-Ressource
    ISSN: 1755-263X , 1755-263X
    URL: Issue
    URL: Article
    DOI: 10.1111/conl.2018.11.issue-2
    DOI: 10.1111/conl.12372
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2018
    ZDB Id: 2430375-6
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 9
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    Online-Ressource
    A new platform to support research at the interface of remote sensing, ecology and conservation
    Wiley ; 2015
    In:  Remote Sensing in Ecology and Conservation Vol. 1, No. 1 ( 2015-10), p. 1-3
    Details
    In: Remote Sensing in Ecology and Conservation, Wiley, Vol. 1, No. 1 ( 2015-10), p. 1-3
    Materialart: Online-Ressource
    ISSN: 2056-3485 , 2056-3485
    URL: Article
    DOI: 10.1002/rse2.1
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2015
    ZDB Id: 2825232-9
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 10
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    Life‐history attributes and resource dynamics determine intraspecific home‐range sizes in Carnivora
    Wiley ; 2015
    In:  Remote Sensing in Ecology and Conservation Vol. 1, No. 1 ( 2015-10), p. 39-50
    Details
    In: Remote Sensing in Ecology and Conservation, Wiley, Vol. 1, No. 1 ( 2015-10), p. 39-50
    Kurzfassung: Home ranges capture a fundamental aspect of animal ecology, resulting from interactions between metabolic demands and resource availability. Yet, the understanding of their emergence is currently limited by lack of consideration of the covariation between intrinsic and extrinsic drivers. We analysed intraspecific home‐range size ( HRS ) variation with respect to life histories and remotely sensed proxies of resource dynamics for 21 Carnivora species. Our best model explained over half of the observed variability in intraspecific HRS across populations of multiple species. At the species level, median HRS was smaller for omnivorous species and increased with increasing body mass (model R 2  = 0.66). Here, HRS scaled with body mass at 0.80, a value much closer to the expected allometric scaling of 0.75 than previously reported. At the intraspecific level, while much variation was driven by intrinsic factors (body mass, diet, social organization and sex; R 2  = 0.39), inclusion of spatiotemporal variation in extrinsic factors (average resource availability and seasonality) enabled explanation of a further 13% of observed variability in HRS . We found no evidence for interactions between intrinsic and extrinsic HRS drivers, suggesting a generally ubiquitous influence of resource availability on space‐use. Our findings illustrate how spatial and temporal information on resource dynamics as derived by satellite data can significantly improve our understanding of HRS variation at the interspecific and intraspecific levels, and urge caution in interpreting HRS allometry in the face of large intraspecific variation. Moreover, our results highlight the importance of considering life‐history constraints in modelling intraspecific space‐use and HRS .
    Materialart: Online-Ressource
    ISSN: 2056-3485 , 2056-3485
    URL: Article
    DOI: 10.1002/rse2.6
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2015
    ZDB Id: 2825232-9
    Standort Signatur Einschränkungen Verfügbarkeit
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