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Featured researches published by J.P. Mol-Dijkstra.


Ecological Applications | 2010

Use of dynamic soil-vegetation models to assess impacts of nitrogen deposition on plant species composition: an overview

W. de Vries; G.W.W. Wamelink; H.F. van Dobben; J. Kros; G.J. Reinds; J.P. Mol-Dijkstra; Simon M. Smart; Chris D. Evans; Ed Rowe; S. Belyazid; Harald Sverdrup; A. van Hinsberg; Maximilian Posch; J.P. Hettelingh; T. Spranger; Roland Bobbink

Field observations and experimental data of effects of nitrogen (N) deposition on plant species diversity have been used to derive empirical critical N loads for various ecosystems. The great advantage of such an approach is the inclusion of field evidence, but there are also restrictions, such as the absence of explicit criteria regarding significant effects on the vegetation, and the impossibility to predict future impacts when N deposition changes. Model approaches can account for this. In this paper, we review the possibilities of static and dynamic multispecies models in combination with dynamic soil-vegetation models to (1) predict plant species composition as a function of atmospheric N deposition and (2) calculate critical N loads in relation to a prescribed protection level of the species composition. The similarities between the models are presented, but also several important differences, including the use of different indicators for N and acidity and the prediction of individual plant species vs. plant communities. A summary of the strengths and weaknesses of the various models, including their validation status, is given. Furthermore, examples are given of critical load calculations with the model chains and their comparison with empirical critical N loads. We show that linked biogeochemistry-biodiversity models for N have potential for applications to support European policy to reduce N input, but the definition of damage thresholds for terrestrial biodiversity represents a major challenge. There is also a clear need for further testing and validation of the models against long-term monitoring or long-term experimental data sets and against large-scale survey data. This requires a focused data collection in Europe, combing vegetation descriptions with variables affecting the species diversity, such as soil acidity, nutrient status and water availability. Finally, there is a need for adaptation and upscaling of the models beyond the regions for which dose-response relationships have been parameterized, to make them generally applicable.


Ecosystems | 2006

Simulation of Critical Loads for Nitrogen for Terrestrial Plant Communities in The Netherlands

H.F. van Dobben; A. van Hinsberg; E.P.A.G. Schouwenberg; M.J.W. Jansen; J.P. Mol-Dijkstra; H.J.J. Wieggers; J. Kros; W. de Vries

This paper describes a new method to derive nitrogen critical loads for vegetation, and its application to The Netherlands. An ‘inverted’ form of the soil chemical model SMART2 was used to estimate atmospheric nitrogen deposition at the critical conditions for 139 terrestrial vegetation types (associations) occurring in northwestern Europe, using an iterative search procedure. The critical conditions are the lower end of the pH range, and the upper end of the nitrogen availability range for each vegetation type. The critical load is assumed to be the nitrogen deposition that results in the critical conditions. The critical load values were subjected to a sensitivity and uncertainty analysis. Sensitivity analysis showed that the estimated critical N load mainly depends on the vegetation type and to a lesser extent on the soil type and the critical N availability. Of these variables N availability, which was estimated from Ellenberg’s indicator scale, contributes most to the uncertainty. The critical load averaged over all vegetation types and soil types is estimated to be 23 ± 7 kg N ha−1y−1. This is a rather reliable value because its uncertainty is small and it is in agreement with empirical estimates of critical loads. Critical loads per vegetation type are less reliable because they are not correlated to empirical values, although the ranges of simulated and empirical values usually overlap. At the site level, uncertainty becomes very large and it is not possible to determine critical loads with any practical significance. The uncertainties can only be reduced if more data become available on the abiotic response per species under field conditions, at least to nitrogen availability and soil pH.


Critical Loads and Dynamic Risk Assessments: Nitrogen, Acidity and Metals in Terrestrial and Aquatic Ecosystems, Environmental Pollution | 2015

Derivation of critical loads for nitrogen for habitat types and their exceedances in The Netherlands

H.F. van Dobben; A. van Hinsberg; D. Bal; J.P. Mol-Dijkstra; H.J.J. Wieggers; J. Kros; W. de Vries

A method is presented to simulate nitrogen (N) critical load values per vegetation type in the Netherlands following the method outlined in Chap. 3 and to integrate these simulated critical loads with empirical values to unique values per habitat type as defined in the European Habitats Directive. In this way critical loads are generated that (a) can be used as local deposition targets to comply with the Habitats Directive, and (b) have a broad international support.


Forest Ecology and Management | 2009

Modelling impacts of changes in carbon dioxide concentration, climate and nitrogen deposition on carbon sequestration by European forests and forest soils

G.W.W. Wamelink; H.J.J. Wieggers; G.J. Reinds; J. Kros; J.P. Mol-Dijkstra; M. van Oijen; W. de Vries


Forest Ecology and Management | 2009

Effect of nitrogen deposition reduction on biodiversity and carbon sequestration

G.W.W. Wamelink; H.F. van Dobben; J.P. Mol-Dijkstra; E.P.A.G. Schouwenberg; J. Kros; W. de Vries; Frank Berendse


Forest Ecology and Management | 2009

Modelling long term impacts of environmental change on mid- and high-latitude European forests and options for adaptive forest management

A. Pussinen; Gert-Jan Nabuurs; H.J.J. Wieggers; G.J. Reinds; G.W.W. Wamelink; J. Kros; J.P. Mol-Dijkstra; W. de Vries


Nutrition Journal | 2000

Uncertainty propagation in model chains: a case study in nature conservancy

E.P.A.G. Schouwenberg; H. Houweling; M.J.W. Jansen; J. Kros; J.P. Mol-Dijkstra


Archive | 2006

Carbon - Nitrogen Interactions in Forest Ecosystems - Final Report

Per Gundersen; Björn Berg; William S. Currie; Nancy B. Dise; Bridget A. Emmett; Vincent Gauci; M. Holmberg; O.J. Kjønaas; J.P. Mol-Dijkstra; C. van der Salm; Inger Kappel Schmidt; A. Tietema; Wim W. Wessel; L.S. Vestgarden; Cecilia Akselsson; W. de Vries; M. Forsius; H. Kros; Egbert Matzner; Filip Moldan; Knute J. Nadelhoffer; Lars Ola Nilsson; G.J. Reinds; U. Rosengren; A.O. Stuanes; R.F. Wright


Hydrology and Earth System Sciences | 2004

Quantification of nitrate leaching from forest soils on a national scale in The Netherlands

J. Kros; A. Tietema; J.P. Mol-Dijkstra; W. de Vries


Hydrology and Earth System Sciences | 2002

Dynamic nitrogen deposition thresholds during forest stand development in a Douglas fir forest analysed with two nitrogen models SMART2 and MERLIN

A. Tietema; J.P. Mol-Dijkstra; J. Kros; W. de Vries

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G.W.W. Wamelink

Wageningen University and Research Centre

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J. Kros

Wageningen University and Research Centre

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W. de Vries

Wageningen University and Research Centre

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G.J. Reinds

Wageningen University and Research Centre

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H.J.J. Wieggers

Wageningen University and Research Centre

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H.F. van Dobben

Wageningen University and Research Centre

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A. van Hinsberg

Netherlands Environmental Assessment Agency

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A. Tietema

University of Amsterdam

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Frank Berendse

Wageningen University and Research Centre

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A. Pussinen

Wageningen University and Research Centre

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