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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Record number 365584
Title Assessing and predicting biodiversity in a floodplain ecosystem: Assimilation of net primary prodution derived from imaging spectrometer data into a dynamic vegetation model
Author(s) Kooistra, L.; Wamelink, G.W.W.; Schaepman-Strub, G.; Schaepman, M.E.; Dobben, H.F. van; Aduaka, U.; Batelaan, O.
Source Remote Sensing of Environment 112 (2008)5. - ISSN 0034-4257 - p. 2118 - 2130.
DOI https://doi.org/10.1016/j.rse.2007.10.010
Department(s) Laboratory of Geo-information Science and Remote Sensing
Landscape Centre
Nature Conservation and Plant Ecology
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2008
Keyword(s) light-use efficiency - radiation-use efficiency - leaf-area index - environmental-conditions - spatial variability - species-diversity - functional types - long-term - river - forest
Abstract New concepts for river management in northwestern Europe are being developed which aim at both flood protection and nature conservation. As a result, methods are required that assess the effect of management activities on the biodiversity of floodplain ecosystems. In this paper, we show that dynamic vegetation models (DVMs) in combination with regional scale derived remote sensing products can be adopted to assess both current and future ecosystem development and biodiversity status of a complex floodplain ecosystem in the Netherlands. The dynamic vegetation model SMART2-SUMO2 in combination with the nature valuation model NTM3 predicting potential floristic diversity was applied to simulate the biodiversity status of the Millingerwaard floodplain along the river Rhine in the Netherlands. Estimates of net primary production (NPP) derived from airborne HyMap imaging spectrometer data were used for validation of the simulated NPP by the DVM at the time of data acquisition in 2004. Imaging spectrometer derived NPP was in good agreement with the SMART2-SUMO2 modeled results. The NTM3 derived nature valuation in 2004 expressed as plant diversity for the floodplain was high and well in agreement with field observations. In a next step, the DVM was re-initialized using imaging spectrometer derived NPP in 2004 and a forecast of plant diversity and biomass development in 2050 was made. A comparison was performed for three pre-defined floodplain management scenarios using a data-assimilation based approach as well as one without. Significant differences in biomass development can be observed between the scenarios. Predicted plant diversity for individual ecosystems in 2050 shows increased variability for forest ecosystems compared to grass ecosystems. This shows that floodplain management should take advantage of spatiotemporal dynamics of the floodplain as a basis for fostering the development of increased biodiversity. The results of this study demonstrate that imaging spectrometer derived products can be used for validation and initialization of DVMs.
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