Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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The Earth Observation Data for Habitat Monitoring (EODHaM) System
Lucas, R.M. ; Blonda, P. ; Bunting, P. ; Jones, G. ; Inglada, J. ; Arias-Maldonado, M. ; Kosmidou, V. ; Petrou, Z. ; Manakos, I. ; Adamo, M. ; Charnock, R. ; Tarantino, C. ; Mücher, C.A. ; Kramer, H. ; Jongman, R.H.G. ; Honrado, J. ; Mairota, P. - \ 2015
International Journal of applied Earth Observation and Geoinformation 37 (2015). - ISSN 0303-2434 - p. 17 - 28.
remotely-sensed data - categories ghc - file format - vegetation - satellite - classifications - biodiversity - reflectance - phenology - software
To support decisions relating to the use and conservation of protected areas and surrounds, the EU-funded BIOdiversity multi-SOurce monitoring System: from Space TO Species (BIO_SOS) project has developed the Earth Observation Data for HAbitat Monitoring (EODHaM) system for consistent mapping and monitoring of biodiversity. The EODHaM approach has adopted the Food and Agriculture Organization Land Cover Classification System (LCCS) taxonomy and translates mapped classes to General Habitat Categories (GHCs) from which Annex I habitats (EU Habitats Directive) can be defined. The EODHaM system uses a combination of pixel and object-based procedures. The 1st and 2nd stages use earth observation (EO) data alone with expert knowledge to generate classes according to the LCCS taxonomy (Levels 1 to 3 and beyond). The 3rd stage translates the final LCCS classes into GHCs from which Annex I habitat type maps are derived. An additional module quantifies changes in the LCCS classes and their components, indices derived from earth observation, object sizes and dimensions and the translated habitat maps (i.e., GHCs or Annex I). Examples are provided of the application of EODHaM system elements to protected sites and their surrounds in Italy, Wales (UK), the Netherlands, Greece, Portugal and India.
BIO_SOS´ EODHaM System towards an operational Habitat Monitoring Service
Manakos, I. ; Bollanos, S. ; Stutte, J. ; Blonda, P. ; Kosmidou, V. ; Petrou, Z. ; Mücher, C.A. ; Lucas, R. ; Dimopoulos, P. ; Jongman, R.H.G. ; Nagendra, H. ; Iasillo, D. ; Arnaud, A. ; Mairota, P. ; Honrado, J. ; Schioppa, E.P. ; Durieux, L. ; Candela, L. ; Inglada, J. - \ 2013
Remote sensing usage and limitations for threat analysis in protected areas: inferring anthropic pressure from habitat and land cover impacts
Nagendra, H. ; Mairota, P. ; Marangi, C. ; Torri, D. ; Lucas, R. ; Dimopoulos, P. ; Honrado, J. ; Niphadkara, M. ; Mücher, C.A. ; Tomaselli, V. ; Manakos, I. ; Blonda, P. - \ 2013
Environmental stratifications as the basis for national, European and global ecological monitoring
Metzger, M.J. ; Brus, D.J. ; Bunce, R.G.H. ; Carey, P.D. ; Goncalves, J. ; Honrado, J. ; Jongman, R.H.G. ; Trabucco, A. ; Zomer, R. - \ 2013
Ecological Indicators 33 (2013). - ISSN 1470-160X - p. 26 - 35.
conterminous united-states - countryside survey - observing system - temporal trend - biodiversity - classification - design - earth - land - landscapes
There is growing urgency for integration and coordination of global environmental and ecological data and indicators required to respond to the ‘grand challenges’ the planet is facing, including climate change and biodiversity decline. A consistent stratification of land into relatively homogenous strata provides a valuable spatial framework for comparison and analysis of ecological and environmental data across large heterogeneous areas. We discuss how statistical stratification can be used to design national, European and global biodiversity observation networks. The value of strategic ecological survey based on stratified samples is first illustrated using the United Kingdom (UK) Countryside Survey, a national monitoring programme that has measured ecological change in the UK countryside for the last 35 years. We then present a design for a European-wide sampling design for monitoring common habitats, and discuss ways of extending these approaches globally, supported by the recently developed Global Environmental Stratification. The latter provides a robust spatial analytical framework for the identification of gaps in current monitoring efforts, and systematic design of new complementary monitoring and research. Examples from Portugal and the transboundary Kailash Sacred Landscape in the Himalayas illustrate the potential use of this stratification, which has been identified as a focal geospatial dataset within the Group on Earth Observation Biodiversity Observation Network (GEO BON).
Interactions between abiotic filters, landscape structure and species traits as determinants of dairy farmland plant diversity
Lomba, A. ; Bunce, R.G.H. ; Jongman, R.H.G. ; Moreira, F. ; Honrado, J. - \ 2011
Landscape and Urban Planning 99 (2011)2010. - ISSN 0169-2046 - p. 248 - 258.
land-use intensity - agricultural landscapes - biodiversity conservation - regional biodiversity - beta diversity - great-britain - richness - intensification - patterns - habitat
Maintaining farmland biodiversity in Europe under scenarios of agricultural intensification is a keystone challenge of nature conservation. The recruitment of species from the regional pool to local landscape mosaics and individual patches is known to be determined by multi-scale ecological filters. Here we aimed at clarifying the relative importance of the physical environment, land use and landscape structure, and species traits, as filters of landscape-level plant species diversity in intensive farmland. Vascular plant species diversity was surveyed in 18 dairy farmland mosaics along a gradient of agricultural specialisation in Northern Portugal. Plant species were grouped according to their life strategy, biogeographic origin, and synecological preferences. Species richness was found to be highest in lowland areas, where warmer climate and nutrient-rich soils contribute to balance the potential negative effects of intensive farming. Multiple predictors, related to physical environment (e.g. climate), land use (e.g. crop area), and landscape structure (e.g. mean patch size), were found to influence diversity patterns, even under the homogenizing effects of agricultural intensification. Dissimilarity models discriminated distinct types of responses, with patterns for biogeographic and synecological groups of species being better predicted by landscape based models. In contrast, a dominant role of physical predictors was observed in explaining diversity patterns for plant strategies. Overall, our results confirmed that physical environmental gradients, land use, landscape structure, and species traits interact in determining landscape-level plant diversity patterns. Such patterns may influence agro-ecosystem responses to environmental changes, and thus should be considered in the development of agri-environmental policies and monitoring schemes.
Global Biodiversity Monitoring
Pereira, H.M. ; Belnap, J. ; Brummitt, N. ; Collen, N. ; Ding, H. ; Gonzales-Espinisa, M. ; Gregory, R.D. ; Honrado, J. ; Jongman, R.H.G. ; Julliard, R. ; McRae, L. ; Proença, V. ; Rodrigues, P. ; Opige, M. ; Rodriguez, J.P. ; Schmeller, D.S. ; Swaay, C. van; Vieira, C. - \ 2010
Frontiers in Ecology and the Environment 8 (2010)9. - ISSN 1540-9295 - p. 458 - 460.
letter tot the editor
The rationale behind the biodiversity information system for north Portugal: The path for a strategic and collaborative biodiversity information system
Guerra, C. ; Castro, P. ; Honrado, J. ; Bunce, R.G.H. ; Jongman, R.H.G. ; Alonso, J. - \ 2010
Fine-scale mapping of High Nature Value farmlands: novel approaches to improve the management of rural biodiversity and ecosystem services
Carvalho-Santos, C. ; Jongman, R.H.G. ; Alonso, J. ; Honrado, J. - \ 2010
High Nature Value farmlands (HNVf) are defined as rural lands characterized by high levels of biodiversity and extensive farming practices. These farmlands are also known to provide important ecosystems services, such as food production, pollination, water purification and landscape recreation. Recently, this concept has been introduced in Rural Development Programmes related to biodiversity preservation in traditional agricultural landscapes. However, there are no specific rules concerning the practical use of the concept, particularly on the identification of potential HNVf areas at a local scale. However, this application becomes important for farmland biodiversity protection in the context of multi-scale agricultural development. We present a novel approach for HNVf mapping, which provides an improved local discrimination of farmlands according to their contribution for the conservation of rural biodiversity and ecosystem services. Our approach is based on a multi-criteria valuation of habitat types based on the national land cover map and agrarian censuses. It is onsidered applicable in other EU countries since comparable datasets are usually available. This methodology is also expected to provide the backbone of a standard, cost-effective methodology for HNVf monitoring, with an emphasis on the impacts of land use change on species, habitats and landscape function.
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