Author: Martin Wegmann

BSc thesis “modeling species distribution in Kenya” finalised

Annika Rudolph a BSc student handed in her BSc thesis on species distribution modeling in Kenya using remote sensing data and the randomForest model. It is impressive what she achieved within 8 weeks without any prior R knowledge. All remote sensing data as well as statistical modeling were done in R, a lot of effort has also been put into the acquisition of relevant remote sensing imagery .   In the passed decades global environmental changes such as climate and land-use changes and anthropogenic pressure increased. As a result the world’s biological diversity faces exceptional threat with following increasing...

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Textbook on “Remote Sensing and GIS for Ecologists”

This is a book about how ecologists can integrate remote sensing and GIS in their daily work. It will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions. This books explains how to apply remote sensing and GIS to ecological research projects. It will provide practical examples cover each step, from planning through to remote sensing and modelling. Only OpenSource software will be used for the examples such as R, QGIS and GRASS. further information at...

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new article on African protected areas

Our new article about the “Role of African protected areas in maintaining connectivity for large mammals” has been published in a special issue on Remote Sensing in Biodiversity and Conservation. The African protected area (PA) network has the potential to act as a set of functionally interconnected patches that conserve meta-populations of mammal species, but individual PAs are vulnerable to habitat change which may disrupt connectivity and increase extinction risk. Individual PAs have different roles in maintaining connectivity, depending on their size and location. We measured their contribution to network connectivity (irreplaceability) for carnivores and ungulates and combined it...

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new article: Satellite remote sensing for applied ecologists: opportunities and challenges

our new review article about opportunities and challenges for ecologists using remote sensing lead by Nathalie Pettorelli has been published. We focused on remote sensing topics related to challenges of applied ecologists, highlighting the potential as well as caveats and of course the future developments. Habitat loss and degradation, overexploitation, climate change and the spread of invasive species are drastically depleting the Earth’s biological diversity, leading to detrimental impacts on ecosystem services and human well-being. Our ability to monitor the state of biodiversity and the impacts of global environmental change on this natural capital is fundamental to designing effective adaptation and mitigation strategies for preventing further loss of biological diversity. This requires the scientific community to assess spatio-temporal changes in the distribution of abiotic conditions (e.g. temperature, rainfall) and in the distribution, structure, composition and functioning of ecosystems. The potential for satellite remote sensing (SRS) to provide key data has been highlighted by many researchers, with SRS offering repeatable, standardized and verifiable information on long-term trends in biodiversity indicators. SRS permits one to address questions on scales inaccessible to ground-based methods alone, facilitating the development of an integrated approach to natural resource management, where biodiversity, pressures to biodiversity and consequences of management decisions can all be monitored. Synthesis and applications. Here, we provide an interdisciplinary perspective on the prospects of satellite remote sensing (SRS) for ecological applications, reviewing established...

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news blog by

the Remote Sensing Department
at the University of Würzburg
Institute of Geography and Geology
Oswald Külpe Weg 86
97074 Würzburg

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