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  • 1
    Book
    Book
    Fragmentation of landscapes: modelling ecosystem services of transition zones (2019)
    Potsdam
    Details
    UID:
    gbv_1689688076
    Format: XV, 103 Seiten , Illustrationen, Diagramme
    Content: For millennia, humans have affected landscapes all over the world. Due to horizontal expansion, agriculture plays a major role in the process of fragmentation. This process is caused by a substitution of natural habitats by agricultural land leading to agricultural landscapes. These landscapes are characterized by an alternation of agriculture and other land use like forests. In addition, there are landscape elements of natural origin like small water bodies. Areas of different land use are beside each other like patches, or fragments. They are physically distinguishable which makes them look like a patchwork from an aerial perspective. These fragments are each an own ecosystem with conditions and properties that differ from their adjacent fragments. As open systems, they are in exchange of information, matter and energy across their boundaries. These boundary areas are called transition zones. Here, the habitat properties and environmental conditions are altered compared to the interior of the fragments. This changes the abundance and the composition of species in the transition zones, which in turn has a feedback effect on the environmental conditions. The literature mainly offers information and insights on species abundance and composition in forested transition zones. Abiotic effects, the gradual changes in energy and matter, received less attention. In addition, little is known about non-forested transition zones. For example, the effects on agricultural yield in transition zones of an altered microclimate, matter dynamics or different light regimes are hardly researched or understood. The processes in transition zones are closely connected with altered provisioning and regulating ecosystem services. To disentangle the mechanisms and to upscale the effects, models can be used. [...]
    Note: Dissertation Universität Potsdam 2019
    Additional Edition: Erscheint auch als Online-Ausgabe Schmidt, Martin Fragmentation of landscapes: modelling ecosystem services of transition zones Potsdam, 2019
    Language: English
    Keywords: Hochschulschrift
    Author information: Nendel, Claas 1972-
    Author information: Lischeid, Gunnar 1962-
    Author information: Thomas, Christoph 1974-
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  • 2
    E-Resource
    E-Resource
    N-Vino beta : Version 2.01 (2006)
    Details
    UID:
    kobvindex_ZAF0033811
    Format: 1 CD-ROM
    Language: Undetermined
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  • 3
    Book
    Book
    Optimierung eines Simulationsmodells zur Stickstofffreisetzung aus Biokompost im Weinbau auf die Belange der Praxis : Abschlußbericht (2005)
    Neustadt/Weinstraße : Institut für Agrarökologie
    Details
    UID:
    kobvindex_ZAF0032326
    Format: 98 S. , graph. Darst.
    Language: Undetermined
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  • 4
    Book
    Book
    Die Entwicklung und Anwendung von Prozessmodellen für die Analyse von Agrarökosystemen (2014)
    Details
    UID:
    b3kat_BV041727558
    Format: 226 S. , Ill., graph. Darst., Kt.
    Note: Enth. 12 Artikel , Berlin, Techn. Univ., Kumul. Habil.-Schr., 2014
    Language: German
    Keywords: Hochschulschrift
    Author information: Nendel, Claas 1972-
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  • 5
    Article
    Article
    Die Auswandererfamilie Nendel (Nandell) aus Berlin (2011)
    Details
    UID:
    kobvindex_LGVa0032384
    In: Zeitschrift für Mitteldeutsche Familiengeschichte, 52(2011)S. 109-121 : Ill.
    Language: German
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  • 6
    Online Resource
    Online Resource
    Agricultural Landscapes in Brandenburg, Germany: An Analysis of Characteristics and Spatial Patterns (2021)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_27411
    Format: 1 Online-Ressource (21 Seiten)
    ISSN: 1735-6865 , 1735-6865
    Content: The increasing demand for agricultural commodities for food and energy purposes has led to intensified agricultural land management, along with the homogenization of landscapes, adverse biodiversity effects and robustness of landscapes regarding the provision of ecosystem services. At the same time, subsidized organic agriculture and extensive grassland use supports the provision of ecosystem services. Yet little is understood about how to evaluate a landscape’s potential to contribute to protecting and enhancing biodiversity and ecosystem services. To address this gap, we use plot-level data from the Integrated Administration and Control System (IACS) for Germany’s federal state of Brandenburg, and based on a two-step cluster analysis, we identify six types of agricultural landscapes. These clusters differ in landscape structure, diversity and measures for agricultural land management intensity. Agricultural land in Brandenburg is dominated by high shares of cropland but fragmented differently. Lands under organic management and those with a high share of maize show strong spatial autocorrelation, pointing to local clusters. Identification of different types of landscapes permits locally- and region-adapted designs of environmental and agricultural policy measures improves outcome-oriented environmental policy impact evaluation and landscape planning. Our approach allows transferability to other EU regions.
    Content: Peer Reviewed
    In: Toronto : Bioline International, 15,3, Seiten 487-507, 1735-6865
    Language: English
    DOI: 10.1007/s41742-021-00328-y
    DOI: 10.18452/26720
    URN: urn:nbn:de:kobv:11-110-18452/27411-3
    URL: Volltext  (kostenfrei)
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    HU Berlin
  • 7
    Article
    Article
    Biotic Yield Losses in the Southern Amazon, Brazil: Making Use of Smartphone-Assisted Plant Disease Diagnosis Data (2021)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_23652
    Content: Pathogens and animal pests (P&A) are a major threat to global food security as they directly affect the quantity and quality of food. The Southern Amazon, Brazil’s largest domestic region for soybean, maize and cotton production, is particularly vulnerable to the outbreak of P&A due to its (sub)tropical climate and intensive farming systems. However, little is known about the spatial distribution of P&A and the related yield losses. Machine learning approaches for the automated recognition of plant diseases can help to overcome this research gap. The main objectives of this study are to (1) evaluate the performance of Convolutional Neural Networks (ConvNets) in classifying P&A, (2) map the spatial distribution of P&A in the Southern Amazon, and (3) quantify perceived yield and economic losses for the main soybean and maize P&A. The objectives were addressed by making use of data collected with the smartphone application Plantix. The core of the app’s functioning is the automated recognition of plant diseases via ConvNets. Data on expected yield losses were gathered through a short survey included in an “expert” version of the application, which was distributed among agronomists. Between 2016 and 2020, Plantix users collected approximately 78,000 georeferenced P&A images in the Southern Amazon. The study results indicate a high performance of the trained ConvNets in classifying 420 different crop-disease combinations. Spatial distribution maps and expert-based yield loss estimates indicate that maize rust, bacterial stalk rot and the fall armyworm are among the most severe maize P&A, whereas soybean is mainly affected by P&A like anthracnose, downy mildew, frogeye leaf spot, stink bugs and brown spot. Perceived soybean and maize yield losses amount to 12 and 16%, respectively, resulting in annual yield losses of approximately 3.75 million tonnes for each crop and economic losses of US$2 billion for both crops together. The high level of accuracy of the trained ConvNets, when paired with widespread use from following a citizen-science approach, results in a data source that will shed new light on yield loss estimates, e.g., for the analysis of yield gaps and the development of measures to minimise them.
    Content: Peer Reviewed
    In: Lausanne : Frontiers Media, 12
    Language: English
    DOI: 10.3389/fpls.2021.621168
    DOI: 10.18452/22985
    URN: urn:nbn:de:kobv:11-110-18452/23652-1
    URL: Volltext  (kostenfrei)
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  • 8
    Online Resource
    Online Resource
    Identifying Agricultural Landscape Types for Brandenburg, Germany using IACS Data (2020)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_22082
    Format: 1 Online-Ressource (22 Seiten)
    Content: The increasing demand for agricultural commodities for food and energy purposes has led to intensified agricultural production. This trend may manifest in agricultural compositions and landscape configurations that can have mixed and adverse impacts on the provision of ecosystem services. We rely on the EU’s plot-based data from the Integrated Administration and Control System (IACS) to identify different types of agricultural landscapes and their spatial distribution in Brandenburg, Germany, a study region strongly characterised by intensification trends. Based on a set of landscape metrics, we are able to characterise agricultural land use and identify six types of agricultural landscapes. We rely on a two-step cluster analysis for a hexagonal grid and find that agricultural land is dominated by cropland with different degrees of fragmentation. By providing a framework using landscape metrics derived from IACS data, our approach involves clustering to identify typologies that are transferable to other regions within the EU based on existing data. This framework can offer more tailored environmental and agricultural planning based on sophisticated measures that take into account local and regional characteristics.
    Language: English
    DOI: 10.18452/21342
    URN: urn:nbn:de:kobv:11-110-18452/22082-8
    URL: Volltext  (kostenfrei)
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    Fulltext
    HU Berlin
  • 9
    Online Resource
    Online Resource
    Mapping Crop Types and Cropping Systems in Nigeria with Sentinel-2 Imagery (2021)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_24186
    Format: 1 Online-Ressource (24 Seiten)
    Content: Reliable crop type maps from satellite data are an essential prerequisite for quantifying crop growth, health, and yields. However, such maps do not exist for most parts of Africa, where smallholder farming is the dominant system. Prevalent cloud cover, small farm sizes, and mixed cropping systems pose substantial challenges when creating crop type maps for sub-Saharan Africa. In this study, we provide a mapping scheme based on freely available Sentinel-2A/B (S2) time series and very high-resolution SkySat data to map the main crops—maize and potato—and intercropping systems including these two crops on the Jos Plateau, Nigeria. We analyzed the spectral-temporal behavior of mixed crop classes to improve our understanding of inter-class spectral mixing. Building on the Framework for Operational Radiometric Correction for Environmental monitoring (FORCE), we preprocessed S2 time series and derived spectral-temporal metrics from S2 spectral bands for the main temporal cropping windows. These STMs were used as input features in a hierarchical random forest classification. Our results provide the first wall-to-wall crop type map for this key agricultural region of Nigeria. Our cropland identification had an overall accuracy of 84%, while the crop type map achieved an average accuracy of 72% for the five relevant crop classes. Our crop type map shows distinctive regional variations in the distribution of crop types. Maize is the dominant crop, followed by mixed cropping systems, including maize–cereals and potato–maize cropping; potato was found to be the least prevalent class. Plot analyses based on a sample of 1166 fields revealed largely homogeneous mapping patterns, demonstrating the effectiveness of our classification system also for intercropped classes, which are temporally and spatially highly heterogeneous. Moreover, we found that small field sizes were dominant in all crop types, regardless of whether or not intercropping was used. Maize–legume and maize exhibited the largest plots, with an area of up to 3 ha and slightly more than 10 ha, respectively; potato was mainly cultivated on fields smaller than 0.5 ha and only a few plots were larger than 1 ha. Besides providing the first spatially explicit map of cropping practices in the core production area of the Jos Plateau, Nigeria, the study also offers guidance for the creation of crop type maps for smallholder-dominated systems with intercropping. Critical temporal windows for crop type differentiation will enable the creation of mapping approaches in support of future smart agricultural practices for aspects such as food security, early warning systems, policies, and extension services.
    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: Basel : MDPI, 13,17
    Language: English
    DOI: 10.3390/rs13173523
    DOI: 10.18452/23526
    URN: urn:nbn:de:kobv:11-110-18452/24186-9
    URL: Volltext  (kostenfrei)
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    HU Berlin
  • 10
    Online Resource
    Online Resource
    Fragmentation of landscapes: modelling ecosystem services of transition zones (2019)
    Potsdam
    Details
    UID:
    gbv_1689683236
    Format: 1 Online-Ressource (XV, 103 Seiten, 5426 KB) , Illustrationen, Diagramme
    Content: For millennia, humans have affected landscapes all over the world. Due to horizontal expansion, agriculture plays a major role in the process of fragmentation. This process is caused by a substitution of natural habitats by agricultural land leading to agricultural landscapes. These landscapes are characterized by an alternation of agriculture and other land use like forests. In addition, there are landscape elements of natural origin like small water bodies. Areas of different land use are beside each other like patches, or fragments. They are physically distinguishable which makes them look like a patchwork from an aerial perspective. These fragments are each an own ecosystem with conditions and properties that differ from their adjacent fragments. As open systems, they are in exchange of information, matter and energy across their boundaries. These boundary areas are called transition zones. Here, the habitat properties and environmental conditions are altered compared to the interior of the fragments. This changes the abundance and the composition of species in the transition zones, which in turn has a feedback effect on the environmental conditions. The literature mainly offers information and insights on species abundance and composition in forested transition zones. Abiotic effects, the gradual changes in energy and matter, received less attention. In addition, little is known about non-forested transition zones. For example, the effects on agricultural yield in transition zones of an altered microclimate, matter dynamics or different light regimes are hardly researched or understood. The processes in transition zones are closely connected with altered provisioning and regulating ecosystem services. To disentangle the mechanisms and to upscale the effects, models can be used. [...]
    Note: Dissertation Universität Potsdam 2019
    Additional Edition: Erscheint auch als Druck-Ausgabe Schmidt, Martin Fragmentation of landscapes: modelling ecosystem services of transition zones Potsdam, 2019
    Language: English
    Keywords: Landschaftsökologie ; Stofffluss ; Ökoton ; Hochschulschrift
    DOI: 10.25932/publishup-44294
    URN: urn:nbn:de:kobv:517-opus4-442942
    URL: kostenfrei
    URL: kostenfrei
    URL: https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-442942
    URL: https://d-nb.info/1218405554/34
    URL: kostenfrei
    Author information: Nendel, Claas 1972-
    Author information: Lischeid, Gunnar 1962-
    Author information: Thomas, Christoph 1974-
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    Online Resource
    Open Access Request
    UB Potsdam
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