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  • 1
    Online Resource
    Online Resource
    Using Intra-Annual Landsat Time Series for Attributing Forest Disturbance Agents in Central Europe (2017)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_21116
    Format: 1 Online-Ressource (24 Seiten)
    Content: The attribution of forest disturbances to disturbance agents is a critical challenge for remote sensing-based forest monitoring, promising important insights into drivers and impacts of forest disturbances. Previous studies have used spectral-temporal metrics derived from annual Landsat time series to identify disturbance agents. Here, we extend this approach to new predictors derived from intra-annual time series and test it at three sites in Central Europe, including managed and protected forests. The two newly tested predictors are: (1) intra-annual timing of disturbance events and (2) temporal proximity to windstorms based on prior knowledge. We estimated the intra-annual timing of disturbances using a breakpoint detection algorithm and all available Landsat observations between 1984 and 2016. Using spectral, temporal, and topography-related metrics, we then mapped four disturbance classes: windthrow, cleared windthrow, bark beetles, and other harvest. Disturbance agents were identified with overall accuracies of 76–86%. Temporal proximity to storm events was among the most important predictors, while intra-annual timing itself was less important. Moreover, elevation information was very effective for discriminating disturbance agents. Our results demonstrate the potential of incorporating dense, intra-annual Landsat time series information and prior knowledge of disturbance events for monitoring forest ecosystem change at the disturbance agent level.
    Content: Peer Reviewed
    In: Basel : MDPI, 8,7, Seiten 251/1-251/24
    Language: English
    DOI: 10.3390/f8070251
    DOI: 10.18452/20362
    URN: urn:nbn:de:kobv:11-110-18452/21116-2
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  • 2
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    Online Resource
    Habitat metrics based on multi‐temporal Landsat imagery for mapping large mammal habitat (2019)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_22869
    Format: 1 Online-Ressource (18 Seiten)
    Content: Up‐to‐date and fine‐scale habitat information is essential for managing and conserving wildlife. Studies assessing wildlife habitat commonly rely on categorical land‐cover maps as predictors in habitat models. However, broad land‐cover categories often do not adequately capture key habitat features and generating robust land‐cover maps is challenging and laborious. Continuous variables derived directly from satellite imagery provide an alternative for capturing land‐cover characteristics in habitat models. Improved data availability and processing capacities now allow integrating all available images from medium‐resolution sensors in compositing approaches that derive spectral‐temporal metrics at the pixel level, summarizing spectral responses over time. In this study, we assessed the usefulness of such metrics derived from Landsat imagery for mapping wildlife habitat. We categorize spectral‐temporal metrics into habitat metrics characterizing different aspects of wildlife habitat. Comparing the performance of these metrics against categorical land‐cover maps in habitat models for lynx, red deer and roe deer, we found that models using habitat metrics consistently outperformed models based on categorical land‐cover maps, with average improvements of 13.7% in model AUC and 9.7% in the Continuous Boyce Index. Performance increases were larger for seasonal habitat models, indicating that the habitat metrics capture intra‐annual variability in habitat conditions better than land‐cover maps. Comparing suitability maps to ancillary data further revealed that our habitat metrics were sensitive to fine‐scale heterogeneity in habitat associated with forest structure. Overall, our study highlights the considerable potential of Landsat‐based spectral temporal metrics for assessing wildlife habitat. Given these metrics can be derived directly and in an automatized fashion from globally and freely available Landsat imagery, they open up new possibilities for monitoring habitat dynamics in space and time.
    Content: Peer Reviewed
    Note: This article was supported by the German Research Foundation (DFG) and the Open Access Publication Fund of Humboldt-Universität zu Berlin.
    In: Chichester : Wiley, 6,1, Seiten 52-69
    Language: English
    DOI: 10.18452/22249
    DOI: 10.1002/rse2.122
    URN: urn:nbn:de:kobv:11-110-18452/22869-5
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  • 3
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    Online Resource
    Using historical spy satellite photographs and recent remote sensing data to identify high-conservation-value forests (2021)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_26794
    Format: 1 Online-Ressource (11 Seiten)
    Content: High-conservation-value forests (HCVFs) are critically important for biodiversity and ecosystem service provisioning, but they face many threats. Where systematic HCVF inventories are missing, such as in parts of Eastern Europe, these forests remain largely unacknowledged and therefore often unprotected. We devised a novel, transferable approach for detecting HCVFs based on integrating historical spy satellite images, contemporary remote sensing data (Landsat), and information on current potential anthropogenic pressures (e.g., road infrastructure, population density, demand for fire wood, terrain). We applied the method to the Romanian Carpathians, for which we mapped forest continuity (1955–2019), canopy structural complexity, and anthropogenic pressures. We identified 738,000 ha of HCVF. More than half of this area was identified as susceptible to current anthropogenic pressures and lacked formal protection. By providing a framework for broad-scale HCVF monitoring, our approach facilitates integration of HCVF into forest conservation and management. This is urgently needed to achieve the goals of the European Union's Biodiversity Strategy to maintain valuable forest ecosystems.
    Content: Peer Reviewed
    In: Oxford [u.a.] : Wiley-Blackwell, 36,2
    Language: English
    DOI: 10.18452/26131
    DOI: 10.1111/cobi.13820
    URN: urn:nbn:de:kobv:11-110-18452/26794-1
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  • 4
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    Online Resource
    Satellite‐based habitat monitoring reveals long‐term dynamics of deer habitat in response to forest disturbances (2020)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_23543
    Format: 1 Online-Ressource (12 Seiten)
    ISSN: 1051-0761 , 1051-0761
    Content: Disturbances play a key role in driving forest ecosystem dynamics, but how disturbances shape wildlife habitat across space and time often remains unclear. A major reason for this is a lack of information about changes in habitat suitability across large areas and longer time periods. Here, we use a novel approach based on Landsat satellite image time series to map seasonal habitat suitability annually from 1986 to 2017. Our approach involves characterizing forest disturbance dynamics using Landsat‐based metrics, harmonizing these metrics through a temporal segmentation algorithm, and then using them together with GPS telemetry data in habitat models. We apply this framework to assess how natural forest disturbances and post‐disturbance salvage logging affect habitat suitability for two ungulates, roe deer (Capreolus capreolus) and red deer (Cervus elaphus), over 32 yr in a Central European forest landscape. We found that red and roe deer differed in their response to forest disturbances. Habitat suitability for red deer consistently improved after disturbances, whereas the suitability of disturbed sites was more variable for roe deer depending on season (lower during winter than summer) and disturbance agent (lower in windthrow vs. bark‐beetle‐affected stands). Salvage logging altered the suitability of bark beetle‐affected stands for deer, having negative effects on red deer and mixed effects on roe deer, but generally did not have clear effects on habitat suitability in windthrows. Our results highlight long‐lasting legacy effects of forest disturbances on deer habitat. For example, bark beetle disturbances improved red deer habitat suitability for at least 25 yr. The duration of disturbance impacts generally increased with elevation. Methodologically, our approach proved effective for improving the robustness of habitat reconstructions from Landsat time series: integrating multiyear telemetry data into single, multi‐temporal habitat models improved model transferability in time. Likewise, temporally segmenting the Landsat‐based metrics increased the temporal consistency of our habitat suitability maps. As the frequency of natural forest disturbances is increasing across the globe, their impacts on wildlife habitat should be considered in wildlife and forest management. Our approach offers a widely applicable method for monitoring habitat suitability changes caused by landscape dynamics such as forest disturbance.
    Content: Peer Reviewed
    In: Washington, DC : Ecological Society of America, 31,3, 1051-0761
    Language: English
    DOI: 10.1002/eap.2269
    DOI: 10.18452/22867
    URN: urn:nbn:de:kobv:11-110-18452/23543-5
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  • 5
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    Online Resource
    Frontier metrics for a process-based understanding of deforestation dynamics (2022)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_26177
    Format: 1 Online-Ressource (16 Seiten)
    Content: Agricultural expansion into tropical and subtropical forests often leads to major social-ecological trade-offs. Yet, despite ever-more detailed information on where deforestation occurs, how agriculture expands into forests remains unclear, which is hampered by a lack of spatially and temporally detailed reconstruction of agricultural expansion. Here, we developed and mapped a novel set of metrics that quantify agricultural frontier processes at unprecedented spatial and temporal detail. Specifically, we first derived consistent annual time series of land-use/cover to, second, describe archetypical patterns of frontier expansion, pertaining to the speed, the diffusion and activity of deforestation, as well as post-deforestation land use. We exemplify this approach for understanding agricultural frontier expansion across the entire South American Chaco (1.1 million km2), a global deforestation hotspot. Our study provides three major insights. First, agricultural expansion has been rampant in the Chaco, with more than 19.3 million ha of woodlands converted between 1985 and 2020, including a surge in deforestation after 2019. Second, land-use trajectories connected to frontier processes have changed in major ways over the 35 year study period we studied, including substantial regional variations. For instance, while ranching expansion drove most of the deforestation in the 1980s and 1990s, cropland expansion dominated during the mid-2000s in Argentina, but not in Paraguay. Similarly, 40% of all areas deforested were initially used for ranching, but later on converted to cropping. Accounting for post-deforestation land-use change is thus needed to properly attribute deforestation and associated environmental impacts, such as carbon emissions or biodiversity loss, to commodities. Finally, we identified major, recurrent frontier types that may be a useful spatial template for land governance to match policies to specific frontier situations. Collectively, our study reveals the diversity of frontier processes and how frontier metrics can capture and structure this diversity to uncover major patterns of human–nature interactions, which can be used to guide spatially-targeted policies.
    Content: Peer Reviewed
    In: Bristol : IOP Publ., 17,9
    Language: English
    DOI: 10.1088/1748-9326/ac8b9a
    DOI: 10.18452/25492
    URN: urn:nbn:de:kobv:11-110-18452/26177-0
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  • 6
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    Online Resource
    Resource pulses and human–wildlife conflicts : linking satellite indicators and ground data on forest productivity to predict brown bear damages (2022)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_26942
    Format: 1 Online-Ressource (14 Seiten)
    Content: Pulsed resources have prominent effects on community and ecosystem dynamics; however, there is little research on how resource pulses affect human–wildlife interactions. Tree masting is a common type of pulsed resource that represents a crucial food for many species and has important bottom-up effects in food webs. In anthropogenic landscapes, years of food shortage after mast years can have negative outcomes for both people and wildlife, for instance when an increased use of anthropogenic foods by animals exacerbates human–wildlife conflicts. Here, we used novel remote sensing indicators of forest productivity and phenology, together with weather cues and ground measures of mast production, to assess whether years of masting and crop failures lead to changes in human–wildlife conflict occurrence. We used a unique 14-year dataset including the production of European beech Fagus sylvatica seeds and brown bear Ursus arctos damage in the northeastern Carpathians as our model system. Linking these data in a panel regression framework, we found that temporal fluctuations in damage occurrence were sensitive to the year-to-year variation in beechnut production. Specifically, the number of damages during bear hyperphagia (i.e., September to December, when bears need to accumulate fat reserves prior to hibernation) was significantly higher in years with low beechnut production than in normal or mast years. Furthermore, we provide evidence that beech masting and failure can be predicted through a combination of remote-sensing, weather, and field indicators of forest productivity and phenology. We demonstrate how pulsed resources, such as tree masting, can percolate through food webs to amplify human–wildlife conflict in human-dominated landscapes. Given the recent range expansion of large carnivores and herbivores in many regions, including Europe, predicting years of natural food shortage can provide a pathway to proactive damage prevention, and thus to foster coexistence between wildlife and people.
    Content: Peer Reviewed
    Note: The article processing charge was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 491192747 and the Open Access Publication Fund of Humboldt-Universität zu Berlin.
    In: Chichester : Wiley, 9,1, Seiten 90-103
    Language: English
    DOI: 10.18452/26269
    DOI: 10.1002/rse2.302
    URN: urn:nbn:de:kobv:11-110-18452/26942-3
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  • 7
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    Online Resource
    Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat / (2023)
    Berlin :Humboldt-Universität zu Berlin,
    Details
    UID:
    almahu_BV049577170
    Format: 1 Online-Ressource.
    Edition: [Zweitveröffentlichung]
    Language: English
    DOI: 10.18452/xxx
    URN: urn:nbn:de:kobv:11-100228906
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  • 8
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    Online Resource
    Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat (2023)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_29024
    Format: 1 Online-Ressource (15 Seiten)
    Content: Aim: The increasing availability of animal tracking datasets collected across many sites provides new opportunities to move beyond local assessments to enable detailed and consistent habitat mapping at biogeographical scales. However, integrating wildlife datasets across large areas and study sites is challenging, as species' varying responses to different environmental contexts must be reconciled. Here, we compare approaches for large-area habitat mapping and assess available habitat for a recolonizing large carnivore, the Eurasian lynx (Lynx lynx). Location: Europe. Methods: We use a continental-scale animal tracking database (450 individuals from 14 study sites) to systematically assess modelling approaches, comparing (1) global strategies that pool all data for training versus building local, site-specific models and combining them, (2) different approaches for incorporating regional variation in habitat selection and (3) different modelling algorithms, testing nonlinear mixed effects models as well as machine-learning algorithms. Results: Testing models on training sites and simulating model transfers, global and local modelling strategies achieved overall similar predictive performance. Model performance was the highest using flexible machine-learning algorithms and when incorporating variation in habitat selection as a function of environmental variation. Our best-performing model used a weighted combination of local, site-specific habitat models. Our habitat maps identified large areas of suitable, but currently unoccupied lynx habitat, with many of the most suitable unoccupied areas located in regions that could foster connectivity between currently isolated populations. Main Conclusions: We demonstrate that global and local modelling strategies can achieve robust habitat models at the continental scale and that considering regional variation in habitat selection improves broad-scale habitat mapping. More generally, we highlight the promise of large wildlife tracking databases for large-area habitat mapping. Our maps provide the first high-resolution, yet continental assessment of lynx habitat across Europe, providing a consistent basis for conservation planning for restoring the species within its former range.
    Content: Peer Reviewed
    Note: The article processing charge was funded by the Open Access Publication Fund of Humboldt-Universität zu Berlin. All authors: Julian Oeser, Marco Heurich, Stephanie Kramer-Schadt, Jenny Mattisson, Miha Krofel, Jarmila Krojerová-Prokešová, Fridolin Zimmermann, Ole Anders, Henrik Andrén, Guna Bagrade, Elisa Belotti, Christine Breitenmoser-Würsten, Luděk Bufka, Rok Černe, Nolwenn Drouet-Hoguet, Martin Duľa, Christian Fuxjäger, Tomislav Gomerčić, Włodzimierz Jędrzejewski, Raido Kont, Petr Koubek, Rafał Kowalczyk, Josip Kusak, Jakub Kubala, Miroslav Kutal, John D. C. Linnell, Anja Molinari-Jobin, Peep Männil, Tomma Lilli Middelhoff, John Odden, Henryk Okarma, Teresa Oliveira, Nives Pagon, Jens Persson, Jaanus Remm, Krzysztof Schmidt, Sven Signer, Branislav Tám, Kristina Vogt, Tobias Kuemmerle
    In: Oxford [u.a.] : Wiley-Blackwell, 2023, 29,12, Seiten 1546-1560
    Language: English
    DOI: 10.18452/28382
    DOI: 10.1111/ddi.13784
    URN: urn:nbn:de:kobv:11-110-18452/29024-9
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  • 9
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    Online Resource
    Widespread habitat for Europe's largest herbivores, but poor connectivity limits recolonization (2023)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_27852
    Format: 1 Online-Ressource (15 Seiten)
    Content: Aim Several large-mammal species in Europe have recovered and recolonized parts of their historical ranges. Knowing where suitable habitat exists, and thus where range expansions are possible, is important for proactively promoting coexistence between people and large mammals in shared landscapes. We aimed to assess the opportunities and limitations for range expansions of Europe's two largest herbivores, the European bison (Bison bonasus) and moose (Alces alces). Location Central Europe. Methods We used large occurrence datasets from multiple populations and species distribution models to map environmentally suitable habitats for European bison and moose across Central Europe, and to assess human pressure inside the potential habitat. We then used circuit theory modeling to identify potential recolonization corridors. Results We found widespread suitable habitats for both European bison (〉120,000 km2) and moose (〉244,000 km2), suggesting substantial potential for range expansions. However, much habitat was associated with high human pressure (37% and 43% for European bison and moose, respectively), particularly in the west of Central Europe. We identified a strong east–west gradient of decreasing connectivity, with major barriers likely limiting natural recolonization in many areas. Main conclusions We identify major potential for restoring large herbivores and their functional roles in Europe's landscapes. However, we also highlight considerable challenges for conservation planning and wildlife management, including areas where recolonization likely leads to human–wildlife conflict and where barriers to movement prevent natural range expansion. Conservation measures restoring broad-scale connectivity are needed in order to allow European bison and moose to recolonize their historical ranges. Finally, our analyses and maps indicate suitable but isolated habitat patches that are unlikely to be colonized but are candidate locations for reintroductions to establish reservoir populations. More generally, our work emphasizes that transboundary cooperation is needed for restoring large herbivores and their ecological roles, and to foster coexistence with people in Europe's landscapes.
    Content: Peer Reviewed
    Note: The article processing charge was funded by the Open Access Publication Fund of Humboldt-Universität zu Berlin.
    In: Oxford [u.a.] : Wiley-Blackwell, 29,3, Seiten 423-437
    Language: English
    DOI: 10.18452/27193
    DOI: 10.1111/ddi.13671
    URN: urn:nbn:de:kobv:11-110-18452/27852-4
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  • 10
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    Online Resource
    Leveraging big satellite image and animal tracking data for characterizing large mammal habitats / (2022)
    Berlin,
    Details
    UID:
    almahu_BV048460085
    Format: 1 Online-Ressource (ix, 167 Seiten) : , Illustrationen, Diagramme, Karten.
    Note: Datum der Verteidigung: 23.06.2022. - Der Text enthält eine Zusammenfassung in deutscher und englischer Sprache. - Veröffentlichung der elektronischen Ressource auf dem edoc-Server der Humboldt-Universität zu Berlin: 2022 , Dissertation Humboldt-Universität zu Berlin 2022
    Additional Edition: Erscheint auch als Druck-Ausgabe Oeser, Julian Leveraging big satellite image and animal tracking data for characterizing large mammal habitats
    Language: English
    Subjects: Geography
    RVK:
    RB 10232
    RVK:
    RB 10480
    Keywords: Wildtiere ; Großsäuger ; Telemetrie ; Satellitenfernerkundung ; Big Data ; Habitat ; Modellierung ; Hochschulschrift
    DOI: 10.18452/24965
    URN: urn:nbn:de:kobv:11-110-18452/25939-5
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    HU Berlin
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