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Dive into the research topics where S.M. Hennekens is active.

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Featured researches published by S.M. Hennekens.


Journal of Vegetation Science | 2001

TURBOVEG, a comprehensive data base management system for vegetation data

S.M. Hennekens; J.H.J. Schaminée

The computer software package TURBOVEG was developed in The Netherlands for the processing of phytosociological data. This package comprises an easy-to-use database management system. The data bank to be managed can be divided into several databases which may consist of up to 100 000 releves each. The program provides methods for input, import, selection, and export of releves. In 1994 TURBOVEG was accepted as the standard computer package for the European Vegetation Survey. Currently it has been installed in more than 25 countries throughout Europe and overseas.


Ecology Letters | 2013

Species richness declines and biotic homogenisation have slowed down for NW-European pollinators and plants

Luísa G. Carvalheiro; William E. Kunin; Petr Keil; Jesús Aguirre-Gutiérrez; W.N. Ellis; Richard Fox; Quentin Groom; S.M. Hennekens; Wouter Van Landuyt; Dirk Maes; Frank Van de Meutter; Denis Michez; Pierre Rasmont; Baudewijn Ode; Simon G. Potts; Menno Reemer; Stuart Roberts; J.H.J. Schaminée; Michiel F. WallisDeVries; Jacobus C. Biesmeijer

Concern about biodiversity loss has led to increased public investment in conservation. Whereas there is a widespread perception that such initiatives have been unsuccessful, there are few quantitative tests of this perception. Here, we evaluate whether rates of biodiversity change have altered in recent decades in three European countries (Great Britain, Netherlands and Belgium) for plants and flower visiting insects. We compared four 20-year periods, comparing periods of rapid land-use intensification and natural habitat loss (1930–1990) with a period of increased conservation investment (post-1990). We found that extensive species richness loss and biotic homogenisation occurred before 1990, whereas these negative trends became substantially less accentuated during recent decades, being partially reversed for certain taxa (e.g. bees in Great Britain and Netherlands). These results highlight the potential to maintain or even restore current species assemblages (which despite past extinctions are still of great conservation value), at least in regions where large-scale land-use intensification and natural habitat loss has ceased.


Ecology Letters | 2008

Less lineages - more trait variation: phylogenetically clustered plant communities are functionally more diverse

Andreas Prinzing; Reineke Reiffers; Wim G. Braakhekke; S.M. Hennekens; O. Tackenberg; W.A. Ozinga; J.H.J. Schaminée; Jan M. van Groenendael

Functional diversity within communities may influence ecosystem functioning, but which factors drive functional diversity? We hypothesize that communities assembled from many phylogenetic lineages show large functional diversity if assembly is random, but low functional diversity if assembly is controlled by interactions between species within lineages. We combined > 9000 descriptions of Dutch plant communities, a species-level phylogeny, and information on 16 functional traits (including eight dispersal traits). We found that all traits were conserved within lineages, but nevertheless communities assembled from many lineages showed a smaller variation in trait-states of most traits (including dispersal traits) than communities assembled from few lineages. Hence, within lineages, species are not randomly assembled into communities, contradicting Neutral Theory. In fact, we find evidence for evolutionary divergence in trait-states as well as present-day mutual exclusion among related, similar species, suggesting that functional diversity of communities increased due to past and present interactions between species within lineages.


Journal of Vegetation Science | 2008

Assignment of relevés to pre-defined classes by supervised clustering of plant communities using a new composite index

Onno van Tongeren; Niek Gremmen; S.M. Hennekens

Abstract Question: How does a newly designed method of supervised clustering perform in the assignment of relevé (species composition) data to a previously established classification. How do the results compare to the assignment by experts and to the assignment using a completely different numerical method? Material: Relevés analysed represent 4186 Czech grassland plots and 4990 plots from a wide variety of vegetation types (359 different associations or basal communities) in The Netherlands. For both data sets we had at our disposal an expert classification, and for the Czech data we also had available a numerical classification as well as a classification based on a neural network method (multi-layer perceptron). Methods: Two distance indices, one qualitative and one quantitative, are combined into a single index by weighted multiplication. The composite index is a distance index for the dissimilarity between relevés and vegetation types. For both data sets the classifications by the new method were compared with the existing classifications. Results: For the Czech grasslands we correctly classified 81% of the plots to the classes of an expert classification at the alliance level and 71% to the classes of the numerical classification. Correct classification rates for the Dutch relevés were 64, 78 and 83 % for the lowest (subassociation or association), association, and alliance level, respectively. Conclusion: Our method performs well in assigning community composition records to previously established classes. Its performance is comparable to the performance of other methods of supervised clustering. Compared with a multi-layer perceptron (a type of artificial neural network), fewer parameters have to be estimated. Our method does not need the original relevé data for the types, but uses synoptic tables. Another practical advantage is the provision of directly interpretable information on the contributions of separate species to the result.


The American Naturalist | 2011

Phylogenetically Poor Plant Communities Receive More Alien Species, Which More Easily Coexist with Natives

Pille Gerhold; Meelis Pärtel; O. Tackenberg; S.M. Hennekens; Igor V. Bartish; J.H.J. Schaminée; Alexander J. F. Fergus; W.A. Ozinga; Andreas Prinzing

Alien species can be a major threat to ecological communities, but we do not know why some community types allow the entry of many more alien species than do others. Here, for the first time, we suggest that evolutionary diversity inherent to the constituent species of a community may determine its present receptiveness to alien species. Using recent large databases from observational studies, we find robust evidence that assemblage of plant community types from few phylogenetic lineages (in plots without aliens) corresponds to higher receptiveness to aliens. Establishment of aliens in phylogenetically poor communities corresponds to increased phylogenetic dispersion of recipient communities and to coexistence with rather than replacement of natives. This coexistence between natives and distantly related aliens in recipient communities of low phylogenetic dispersion may reflect patterns of trait assembly. In communities without aliens, low phylogenetic dispersion corresponds to increased dispersion of most traits, and establishment of aliens corresponds to increased trait concentration. We conclude that if quantified across the tree of life, high biodiversity correlates with decreasing receptiveness to aliens. Low phylogenetic biodiversity, in contrast, facilitates coexistence between natives and aliens even if they share similar trait states.


Folia Geobotanica | 2005

Assessing the relative importance of dispersal in plant communities using an ecoinformatics approach

W.A. Ozinga; S.M. Hennekens; J.H.J. Schaminee; R.M. Bekker; Andreas Prinzing; S. Bonn; Peter Poschlod; O. Tackenberg; Ken Thompson; Jan P. Bakker; J.M. van Groenendael

Increased insight into the factors that determine the importance of dispersal limitation on species richness and species composition is of paramount importance for conservation and restoration ecology. One way to explore the importance of dispersal limitation is to use seed-sowing experiments, but these do not enable the screening of large sets of species and habitats. In the present paper we present a complementary approach based on comparing small plots with larger regions with regard to species composition and distribution of functional traits. We developed a GIS tool based on ecological and geographical criteria to quantify species pools at various spatial scales. In this GIS tool, containing floristic, large databases, phytosociological and functional information are exploited. Our premise is that differences in the nature of the species in local and regional species pools with regard to functional traits can give important clues to the processes at work in the assembly of communities.We illustrate the approach with a case study for mesotrophic hay meadows (Calthion palustris). We tested the effects of differences in frequency in the local Habitat Species Pool and differences in dispersal and persistence traits of species on local species composition. Our results show that both species pool effects and functional traits affect the probability of occurrence in small plots. Species with a high propagule weight have, given the frequency in the Local Habitat Species Pool, a lower probability of occurrence in small plots. The probability of local occurrence, however, is increased by the ability to form a persistent soil seed bank and by adult longevity. This provides support for the view that the degree of dispersal limitation is dependent on the degree of spatial isolation of the focal site relative to source populations and moreover that species inherently differ in the degree to which dispersal limitation is a limiting factor for local occurrence.


Plant Biosystems | 2011

Large vegetation databases and information systems: New instruments for ecological research, nature conservation, and policy making

J.H.J. Schaminee; J.A.M. Janssen; S.M. Hennekens; W.A. Ozinga

Abstract Almost a century ago, Josias Braun-Blanquet developed his phytosociological approach for vegetation field study. At that time, nobody could foresee what the impact of this methodology would be for vegetation science as well as for its application in nature conservation. Hundreds of thousands of so-called relevés (vegetation plot records) have been made, collected in field books, and many of them have been published afterward. Some 20 years ago, the software package Turboveg was developed for the input, storage, and handling of vegetation data. Since then, many national and regional vegetation databases have been compiled, providing the basis for national and international classification overviews and other scientific studies. It is estimated that currently there have been more than 4.2 million relevés made throughout Europe, including 1.8 million relevés already available in electronic dabatases and about 45% of these available in Turboveg format. The computerized vegetation data have been shown to offer new possibilities for ecological research (a new branch of study, called eco-informatics), of which a number of examples will be discussed. Furthermore, the electronic data form a fundament for the compilation of ecological information systems. As an example of these, the information system SynBioSys will be discussed as a new tool for nature conservation and policy making, including Natura 2000.


Ecosystems | 2015

Plant Species Diversity Mediates Ecosystem Stability of Natural Dune Grasslands in Response to Drought

Nils van Rooijen; Wanda De Keersmaecker; W.A. Ozinga; Pol Coppin; S.M. Hennekens; J.H.J. Schaminée; Ben Somers; Olivier Honnay

How plant species diversity can mediate the temporal stability of ecosystem functioning during periods of environmental stress is still a pressing question in ecology, certainly in the context of predicted increasing frequencies and intensities of climate extremes, such as drought. The vast majority of empirical research in this context is based on relatively small-scaled experiments, where plant species composition is manipulated and ecosystem functions, such as biomass production, are monitored through time. Results of these studies have generally shown that ecosystem functioning is more stable in more species-diverse communities. Yet, there is very little evidence so far that these relations also hold in naturally assembled plant communities. In this study, we combined historical vegetation and climate data with time series of remotely sensed indicators of aboveground biomass production (MODIS NDVI), to quantify how plant species diversity and plant functional diversity correlate with the temporal stability of biomass production in naturally assembled Dutch dune grasslands under the influence of fluctuating drought. We found that the negative NDVI response to drought of grasslands with a higher plant species richness and diversity was significantly lower than the response of less species rich and species-diverse grasslands, indicating a stabilizing role of plant species richness and diversity on biomass production through time. We found no relation between plant functional diversity and NDVI response to drought. This is the first study to generalize experimentally established relations between species diversity and stability of ecosystem functioning to naturally assembled grasslands across a large spatial and temporal scale.


European Vegetation Survey 2016 | 2016

Ecological Indicator Values of Europe (EIVE) 1.0: a powerful open-access tool for vegetation scientists

Jürgen Dengler; Elisabeth Hüllbusch; Claudia Bita-Nicolae; Milan Chytry; Yakiv Didukh; Martin Diekmann; Hartmut Dierschke; Thorsten Englisch; Nikolai Ermakov; Heike Feldhaar; Anna Maria Fosaa; Dieter Frank; François Gillet; Riccardo Guarino; S.M. Hennekens; Mark O. Hill; Sven D. Jelaska; Borja Jiménez-Alfaro; Philippe Julve; Zygmunt Kącki; Gerhard Karrer; Michael P. Nobis; W.A. Ozinga; Sandro Pignatti; Thomas Raus; Marcela Řezníčková; Eszter Ruprecht; Urban Šilc; Manuel J. Steinbauer; Jean-Paul Theurillat

Background: Ecological indicator values (EIVs) have a long tradition in vegetation ecological research in Europe. EIVs characterise the ecological optimum of species along major environmental gradients using ordinal scales. Calculating mean indicator values per plot is an effective way of bioindication. Following first systems in Russia and Central Europe, about two dozen EIV systems have been published for various parts of Europe. Aims: As there was no EIV system available at European scale that could be used for broad- scale analyses, e.g. in the context of the European Vegetation Archive (EVA), we develop such a system for the first time for the vascular plants of Europe. Location: Europe. Methods: We compiled all national and major regional EIV systems and harmonized their plant nomenclature with a newly developed contemporary European taxonomic backbone (EuroSL 1.0). Using regression, we rescaled the individual EIV systems for the main parameters to continent-wide quasi-metric scales, ranging from 1 to 99. The data from each individual system were then translated into a probability curve approximated with a normal distribution, weighed with the logarithm of the area represented and summed up across the systems. From the European density curve we extracted then a mean and a variance, which characterise the distribution of this species along this particular ecological gradient. Results and conclusions: Our consensus approach of integrating the expert knowledge of all existing EIV systems allowed deriving the first consistent description of the ecological behaviour for a significant part of the European vascular flora. The resulting Ecological Indicator Values of Europe (EIVE) 1.0 will be published open access to allow bioindication beyond country borders. Future releases of EIVE might contain more parameters, non- vascular plants and regionalisation or could be re-adjusted and extended to hitherto non- covered species through co-occurrence data from EVA.


Saudi Journal of Biological Sciences | 2017

SaudiVeg ecoinformatics: Aims, current status and perspectives

Mohamed A. El-Sheikh; Jacob Thomas; Ahmed H. Alfarhan; Abdulrahman A. Alatar; Sivadasan Mayandy; S.M. Hennekens; Joop H.J. Schaminėe; Ladislav Mucina; Abdulla M. Alansari

During the last decade many electronic databases of vegetation plots were established in many countries around the world. These databases contain valuable phytosociological information assisting both governmental and NGO (Non-governmental organizations) agencies to formulate strategies and on-ground plans to manage and protect nature resources. This paper provides an account on aims, current status and perspectives of building of a vegetation database for the Central Region (Najd) of Saudi Arabia – the founding element of the Saudi Vegetation Database (SVD). The data stored by the database are sample plots (vegetation relevés) collected according to the field techniques of the Braun-Blanquet approach (lists of taxa accompanied by semi-quantitative cover assessment), and are accompanied by general vegetation characteristics such as vegetation layering and cover, information on life-form of the recorded species, geographical coordinates, altitude, soil typology, topography and many more. More than 2900 vegetation-plot records (relevés) have so far been collected in the Najd region; of these more than 2000 have already been stored using the Turboveg database platform. These field records cover many habitats such as depressions, wadis (dry river beds), agricultural lands, sand dunes, sabkhas, and ruderal habitats. The ecological information collected in the database is currently the largest set of vegetation data collated into a database in the Middle East. These data are of great importance for biodiversity studies in Saudi Arabia, since the region is recording a loss of biodiversity at a fast rate due to environmental problems such as global warming and land-use changes. We envisage that this database would catalyze further data collection on vegetation of the entire Arabian Peninsula, and shall serve as one of the most important datasets for classification and mapping of the vegetation of the Kingdom of Saudi Arabia.

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W.A. Ozinga

Wageningen University and Research Centre

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J.H.J. Schaminee

Wageningen University and Research Centre

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J.H.J. Schaminée

Radboud University Nijmegen

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Andreas Prinzing

Centre national de la recherche scientifique

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