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Mapping regional vegetation developments in Twente (the Netherlands) since the Late Glacial and evaluating contemporary settlement patterns

Published online by Cambridge University Press:  12 January 2015

R. van Beek
Affiliation:
Faculty of Archaeology, Leiden University, PO Box 9515, NL-2300 RA Leiden, the Netherlands
M.T.I.J. Gouw-Bouman
Affiliation:
Faculty of Geosciences, Utrecht University, Heidelberglaan 2, NL-3584 CS Utrecht, the Netherlands
J.A.A. Bos
Affiliation:
ADC Archeoprojecten, PO Box 1513, NL-3800 BM Amersfoort, the Netherlands
Corresponding
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Abstract

Interdisciplinary, landscape-oriented studies from an archaeological viewpoint in the Low Countries mainly concentrate on cultural and economic research questions. Focal points are the physical setting of settlements and cemeteries, land use patterns and subsistence economy. As a result, the collected data are rather site-based and one-dimensional. As a counterweight, this study aims to look beyond the boundaries of settlements and cemeteries by offering a regional and diachronic perspective on the development of the landscape, vegetation and habitation of Twente (the Netherlands) since the Late Glacial. A detailed search for existing pollen data yielded 125 sites containing information from a wide variety of sampling contexts. A series of six evidence-based regional vegetation maps have been constructed by analysing relations between pollen data, soil data and topography. The maps serve as first-stage generalised models that predict regional trends, allow subsequent testing and place site-specific archaeological data in a wider context. The method developed is applicable to other regions. A comparison with contemporary habitation patterns, based on archaeological and historical data, reveals spatio-temporal trends in human influence on vegetation and in physical factors influencing site location. Five maps have been ‘translated’ into artist impressions.

Type
Original Article
Copyright
Copyright © Netherlands Journal of Geosciences Foundation 2015 

Introduction

Recent research has demonstrated that the coversand landscapes of the Netherlands were far more dynamic and diverse than has been previously assumed, and that interdisciplinary research designs are indispensible in analysing long-term landscape and habitation processes (Kooistra & Kooistra, Reference Kooistra and Kooistra2003; Spek, Reference Spek2004; van Beek, Reference van Beek2009). In the Netherlands, detailed interdisciplinary studies on regional Late Glacial and Holocene landscape development are rare. Many interdisciplinary studies either focus on specific time frames, such as the Late Glacial and Early Holocene (e.g. van Geel et al., Reference van Geel, Bohncke and Dee1981; Hoek et al., Reference Hoek, Bohncke and Ganssen1999; Bos et al., Reference Bos, Huisman, Kiden, Hoek and van Geel2005a,Reference Bos, van Geel, Groenewoudt and Lauwerierb; Heiri et al., Reference Heiri, Cremer, Engels, Hoek, Peeters and Lotter2007; van Asch et al., Reference van Asch, Heiri, Bohncke and Hoek2013), or on individual sites (e.g. Bos & Zuidhoff, Reference Bos, Zuidhoff and van der Velde2011). Furthermore, most landscape reconstructions are based on archaeological or physical geographical sources. Geological and botanical data are mainly used to substantiate our images of the environment of settlements and burial sites, to explain (changes in) habitation patterns or to reconstruct human influence on the landscape. The strong emphasis on habitat, in the sense of the physical setting of past human activity (cf. O’Connor, Reference O’Connor and Albarella2001, 20), implies that these studies do not offer fully representative images of the structure and development of Holocene landscapes. This study aims to extend our views beyond the boundaries of settlements and cemeteries by reconstructing long-term vegetation developments on a regional scale. The Twente region, in the eastern part of the Netherlands, forms the pilot area (Fig. 1).

Fig. 1. A. Location of Twente (marked in grey). B. Simplified map of the most important landscape characteristics of the study area. The approximate maximum extension of the Almeler Veen raised bog is indicated. This situation was probably reached around the Late Middle Ages, before large-scale reclamations took place.

To arrive at accurate and detailed reconstructions of the vegetation history of any region, it is important to critically analyse palynological data from as great a variety of sampling contexts as possible (Jacobson & Bradshaw, Reference Jacobson and Bradshaw1981; Evans & O’Connor, Reference Evans and O’Connor1999, 102; Dincauze, Reference Dincauze2000, 377; Hjelle et al., Reference Hjelle, Solem, Halvorsen and Åstveid2012, 1368). The basis of this study is a detailed inventory of existing palynological data in Twente and immediately adjacent parts of the Netherlands and Germany. The integrated study of the large body of available data enables a reconstruction of the Late Glacial and Holocene vegetation development. Here we focus on the most important patterns, and especially on regional vegetation maps that are developed for six phases. These are based on a combination of palynological, geomorphological, hydrological and historical data (for more detail on the methodology, see also Bouman et al., Reference Bouman, Bos and van Beek2013). The vegetation maps are used to study changes in vegetation and to analyse human–land relations by comparing them to archaeological and historical geographical data. The maps can be used as first-stage models to be tested against future palynological research, and to place site-specific archaeological investigations in a broader context. Five maps have been translated into digital, evidence-based artist's impressions.

This study aims to compare a diachronic series of evidence-based, regional vegetation maps to settlement data. Landscape reconstructions on this spatio-temporal scale have not yet been made in the Low Countries. A small number of vegetation maps have been published (e.g. van der Hammen & Bakker, Reference van der Hammen, Bakker, van der Hammen and Wijmstra1971; de Kort, Reference de Kort, Jansen and Louwe Kooijmans2007; Neefjes & Willemse, Reference Neefjes and Willemse2009), but these generally focus on smaller areas and/or shorter time spans, and are based on smaller datasets. Hoek, for example, mapped the distribution of individual Late Glacial species in the Netherlands (Hoek, Reference Hoek1997a,b; see also Huntley & Birks, Reference Huntley and Birks1983). Some regional vegetation reconstructions have been made in neighbouring parts of northwest Europe. Burrichter (Reference Burrichter1973) reconstructed the ‘potential natural vegetation’ of the German Münsterland area, mainly based on geological data. Stobbe (Reference Stobbe1996) did the same for the Holocene of the German Wetterau area, based on palynological data using a modelling approach. Nielsen et al. (Reference Nielsen, Giesecke, Theuerkauff, Feeser, Behre, Beug, Chen, Christiansen, Dörfler, Endtmann, Jahns, de Klerk, Kühl, Latałowa, Odgaard, Rasmussen, Stockholm, Voigt, Wiethold and Wolters2012) reconstructed the landscape openness and distribution of selected species in northern Germany and Denmark. However, none of these studies comprises a detailed analysis of and comparison with contemporary settlement data.

The study area

Twente (Fig. 1) was selected as the pilot area because a large number of palynological analyses are available. Furthermore, most landscape types occurring in the Dutch coversand area are represented, therefore the vegetation development can be studied in various settings and be compared to similar sandy regions elsewhere. Also, heterogeneous landscapes enable variations in human behaviour to be tested against the environment (Evans & O’Connor, Reference Evans and O’Connor1999, 96, citing Gamble, Reference Gamble1986, 306). This is also why parts of Twente were chosen as subjects for various earlier studies on site location and for archaeological predictive modelling (Brandt et al., Reference Brandt, Groenewoudt and Kvamme1992; Deeben et al., Reference Deeben, Hallewas, Kolen, Wiemer, Willems, Kars and Hallewas1997).

Twente has a surface area of approximately 1500 km2. This corresponds to the ‘meso-scale’ of research as defined by Dincauze (Reference Dincauze2000, 377–379), or more simply a ‘regional’ research level (e.g. Evans, Reference Evans2003, 2–5). The region is part of the European Sand Belt (Koster, Reference Koster2009; Tolksdorf & Kaiser, Reference Tolksdorf and Kaiser2012). The major geological features were formed as a result of the combined activity of wind, water and ice during the Saalian and Weichselian Ice Ages (van Beek, Reference van Beek2009, 135–151). The expansion of land ice in the Saalian led to the formation of three ice-pushed ridges in the western (Markelo-Nijverdal), southeastern (Oldenzaal) and northern (Ootmarsum) parts of the research area (Fig. 1B). Rising to about 100 m above sea level, they form the most dominant landscape features. The areas between them can be classified as coversand landscapes. Their basic structure dates from the Pleniglacial, when sand drifts led to the formation of numerous sandy ridges. Even though the elevations do not generally differ from those of adjacent landscape units by more than a few metres, many of these ridges (especially the larger ones with more fertile soils) were favourable settlement locations throughout prehistoric and historic times. The coversand landscapes are intersected by various valleys. The most important rivers are the Dinkel (van der Hammen & Wijmstra, Reference van der Hammen and Wijmstra1971) and the Regge. From the late Atlantic and Subboreal periods onwards raised bogs developed in various flat, poorly drained areas (German: Plan-Hochmoore; e.g. Lang, Reference Lang1994, 219; Succow & Joosten, Reference Succow and Joosten2001). The largest by far is called Almeler Veen (also Vriezenveen/Engbertsdijksveen; van Geel, Reference van Geel1978; Dupont & Brenninkmeijer, Reference Dupont and Brenninkmeijer1984; van der Molen & Hoekstra, Reference van der Molen and Hoekstra1988). Until the Late Middle Ages, raised bogs and other wet depressions were scattered throughout the landscape, but due to reclamation and desiccation only a tiny fraction have survived into the present day (Borger, Reference Borger and Verhoeven1992; Gerding, Reference Gerding1995; de Rooi, Reference de Rooi2008).

Methods and materials

Palynological data

The data have been collected by literature survey, from palynological archives and by contacting various research institutes and universities. In total 125 sites containing Late Glacial and Holocene palynological data were found (Fig. 2; Appendix 1). These are scattered over the eastern Netherlands and adjacent parts of Germany (northwest Westphalia and southwest Lower Saxony). Thirty sites are situated in Twente. The others are included because of their proximity to the region (never over 50 km away, but mostly much closer) and comparable landscape setting. All data were recorded in a detailed database similar to the Dutch National Pollen Database (Donders et al., Reference Donders, Bunnik and Bouman2010). Both natural (n = 91) contexts such as lakes, bogs and residual channels and anthropogenic (n = 34) contexts such as wells are represented. Obviously, the analysis of samples from anthropogenic contexts is not without problems (for an overview of the pitfalls see Groenewoudt et al., Reference Groenewoudt, van Haaster, van Beek and Brinkkemper2007). However, when treated carefully valuable additional information can be obtained that complements data from natural sources (cf. Dimbleby, Reference Dimbleby1985).

Fig. 2. A. Overview of all palynological sampling sites in and around Twente used in this study. The numbers refer to Appendix 1. B. Overview of sampling contexts.

The palynological sites are distributed more or less evenly over the research area (Fig. 2). There are some spatial biases in the data. For example, all the German contexts are raised mires (Burrichter, Reference Burrichter1969, Reference Burrichter1973; Isenberg, Reference Isenberg1979; Pott, Reference Pott1984; Kuhry, Reference Kuhry1985; Fig. 2B). Most locations only contain information on parts of the Late Glacial/Holocene, therefore the distribution and composition of palynological information in any given phase varies (Fig. 3). In general, samples from anthropogenic contexts cover shorter timespans than those from natural contexts.

Fig. 3. Location of the most important palynological sampling sites used to construct the vegetation maps (Figs 5A–9A; time-slices 1–5). Fig. 10 (time-slice 6) is based on historical maps. LMA, Late Middle Ages.

Vegetation reconstructions

Although a large amount of palynological data is available from the study area, much of the data are not suitable to be used in the models designed in recent years for vegetation reconstruction (e.g. Sugita, Reference Sugita2007a,Reference Sugitab; Bunting & Middleton, Reference Bunting and Middleton2005; Gaillard et al., Reference Gaillard, Sugita, Bunting, Middleton, Broström, Caseldine, Giesecke, Hellman, Hicks, Hjelle, Langdon, Nielsen, Poska, Stedingk, Veski and Members2008, Reference Gaillard, Sugita, Mazier, Trondman, Broström, Hickler, Kaplan, Kjellström, Kokfelt, Kuneš, Lemmen, Miller, Olofsson, Poska, Rundgren, Smith, Strandberg, Fyfe, Nielsen, Alenius, Balakauskas, Barnekow, Birks, Bjune, Björkman, Giesecke, Hjelle, Kalnina, Kangur, van der Knaap, Koff, Lageras, Latałowa, Leydet, Lechterbeck, Lindbladh, Odgaard, Peglar, Segerström, Von Stedingk and Seppä2010; Nielsen et al., Reference Nielsen, Giesecke, Theuerkauff, Feeser, Behre, Beug, Chen, Christiansen, Dörfler, Endtmann, Jahns, de Klerk, Kühl, Latałowa, Odgaard, Rasmussen, Stockholm, Voigt, Wiethold and Wolters2012). Most models require uniform data (with regard to pollen sums) from large lakes or mires. However, our data is highly variable in terms of sampling context and the applied research methods. This does not mean that all existent data have to be dismissed because they are not in raw count form (e.g. Fyfe et al., Reference Fyfe, Twiddle, Sugita, Gaillard, Barratt, Caseldine, Dodson, Edwards, Farrell, Froyd, Grant, Huckerby, Innes, Shaw and Waller2013). For this study a new method was constructed using these types of data to identify regional trends and differences in vegetation development/land use. The basis of this methodology is formed by the inherent relationship between the abiotic landscape, vegetation development and human activities, and the assumption that these relations are consistent in a relatively uniform area. Using these relations, ‘local’ pollen-based vegetation reconstructions were extrapolated to a regional scale (see below).

When comparing and integrating samples from various locations and environmental settings, several pitfalls arise. Most problems occur due to various well-known factors which influence the composition of a pollen assemblage. These include the source area of pollen (e.g. Janssen, Reference Janssen, Birks and West1973; Broström, Reference Broström2002; Bunting, Reference Bunting2002; Bunting et al., Reference Bunting, Gaillard, Sugita, Middleton and Broström2004; Sugita, Reference Sugita2007a,Reference Sugitab; Bunting & Hjelle, Reference Bunting and Hjelle2010; Sugita et al., Reference Sugita, Hicks and Sormunen2010a,Reference Sugita, Parshall, Calcote and Walkerb), the origin and transport method of pollen (e.g. Andersen, Reference Andersen1970; Janssen, Reference Janssen, Birks and West1973, Reference Janssen1974; Sugita, Reference Sugita1994, Reference Sugita2007a; Sugita et al., Reference Sugita, Gaillard and Broström1999, Reference Sugita, Hicks and Sormunen2010a; Broström et al., Reference Broström, Nielsen, Gaillard, Hjelle, Mazier, Binney, Bunting, Fyfe, Meltsov, Poska, Räsänen, Soepboer, Von Stedingk, Suutari and Sugita2008), vegetation characteristics and sediment accumulation (e.g. Sugita, Reference Sugita1994, Reference Sugita2007a,Reference Sugitab; Sugita et al., Reference Sugita, Hicks and Sormunen2010a; Broström et al., Reference Broström, Gaillard, Ihse and Odgaard1998; Bunting, Reference Bunting2002; Bunting et al., Reference Bunting, Gaillard, Sugita, Middleton and Broström2004) and pollen preservation (e.g. Havinga, Reference Havinga1967). In our study, most of these pittfalls were minimised by interpreting each dataset individually, therefore the vegetation reconstructions are not directly based on pollen data but rather on assumptions and relations derived from the pollen record.

A second set of problems relates to the variations in the structure of the data. These have been collected by different researchers with varying research methods and aims. This is reflected in the variety of pollen sums used. It was impossible to compare pollen percentages of specific species in different diagrams. To do so it would be necessary to consult the original data, which were not always available. The dominance of species and their relative ratio at each site were therefore used to estimate the spatial distribution of species and their relative importance. Additionally, we chose to base the reconstructions on vegetation communities instead of on individual species. Vegetation communities are groups of plant species that prefer comparable conditions and frequently occur together in present-day vegetation (Janssen, Reference Janssen1972). For each time-slice map a different set of vegetation communities was defined (Figs 5–10).

Fig. 4. Visualisation of the reconstruction process. A. An interpreted pollen diagram from Zuna's Hooilanden (originally published in Gerrets et al., Reference Gerrets, Opbroek and Williams2012). B. Local vegetation reconstruction around the sampling site during the Atlantic period (modified after Gerrets et al., Reference Gerrets, Opbroek and Williams2012; not to scale). C. Section of the final vegetation map showing the transect reconstructed in B. The high values of tree pollen in the diagram indicate a densely forested landscape. The local pollen spectrum indicates the presence of an alder carr. Pine forests are probably present on the nearby (distance 3 km) ice-pushed ridge towards the west (the location of Zuna is shown in Fig. 6A).

Fig. 5. A. Reconstruction map of the vegetation in the Younger Dryas period, around approximately 10,000 BC. The plotted archaeological sites date to the Late Palaeolithic period and mainly consist of flint scatters. Part of the Federmesser sites may date from the Allerød phase. Modified after Bouman et al., Reference Bouman, Bos and van Beek2013, fig. 5.1, p. 39.

Fig. 5. B. Artist's impression of the landscape in the Younger Dryas period, around approximately 10,000 BC. All artist's impressions (Figs 5B–9B) are made by Mikko Kriek (BCL Archaeological Support). The viewpoint of all of them is approximately the centre of Twente, looking eastward.

Fig. 6. A. Reconstruction map of the vegetation in the Atlantic period, around approximately 4000 BC. The plotted archaeological sites all date to the Neolithic period, but many cannot be dated more precisely. The vegetation at the indicated sampling site of Zuna's Hooilanden (red star) is mapped in detail in Fig. 4. Modified after Bouman et al., Reference Bouman, Bos and van Beek2013, fig. 5.2, p. 41.

Fig. 6. B. Artist's impression of the landscape in the Atlantic period, around approximately 4000 BC.

Fig. 7. A. Reconstruction map of the vegetation in the Subboreal period, around approximately 1500 BC. The plotted archaeological sites offer a general impression of the occupation pattern in the Bronze Age. Some may be slightly older (mainly barrows) or younger (mainly urnfields). Modified after Bouman et al., Reference Bouman, Bos and van Beek2013, fig. 5.3, p. 43.

Fig. 7. B. Artist's impression of the landscape in the Subboreal period, around approximately 1500 BC.

Fig. 8. A. Reconstruction map of the vegetation in the Subatlantic period, around approximately AD 200. All plotted archaeological sites date to the Roman period. Modified after Bouman et al., Reference Bouman, Bos and van Beek2013, fig. 5.4, p. 45.

Fig. 8. B. Artist's impression of the landscape in the Subatlantic period, around approximately AD 200.

Fig. 9. A. Reconstruction map of the vegetation in the Subatlantic period, around approximately AD 1500. The plotted farmsteads and manors are known from historical geographic data to have existed at the end of the Late Middle Ages. Many were founded centuries earlier. Modified after Bouman et al., Reference Bouman, Bos and van Beek2013, fig. 5.5, p. 47.

Fig. 9. B. Artist's impression of the landscape in the Subatlantic period, around approximately AD 1500.

Fig. 10. Vegetation map of the Subatlantic period, around AD 1900. This map is based on historical maps. Modified after Bouman et al., Reference Bouman, Bos and van Beek2013, fig. 4.12, p. 35.

The first step in this study was to obtain a regional overview of vegetation development using a selection of well-dated pollen records with a high temporal resolution (e.g. van Geel, Reference van Geel1978; van Geel et al., Reference van Geel, Bohncke and Dee1981; Bos & Zuidhoff, Reference Bos, Zuidhoff and van der Velde2011; Gerrets et al., Reference Gerrets, Opbroek and Williams2012). This overview was used as a general reference and to estimate the relative age of undated sequences, based on the overall vegetation composition and the presence of key species. Samples from anthropogenic settings were mostly dated by archaeological evidence.

The second step was to reconstruct the vegetation around each sampling site (Fig. 4). Using the pollen data and the original ecological interpretations, the neighbouring vegetation communities were derived for these sites (Fig. 4A). Using the local geomorphology these vegetation communities were ascribed to specific geomorphological units (Fig. 4B). On average an area with a diameter of 1 km was analysed. To minimise personal bias, the original ecological interpretations were used as much as possible.

The third step was to deduce relations between geomorphology and vegetation from the small-scale site-based reconstructions (step 2) and the regional vegetation overview (step 1). Using a detailed geomorphological map (van Beek, Reference van Beek2009, Appendix 1) these relations were used to fill in the areas between the sites and arrive at regional maps (Fig. 4C).

The method used is based on analogical reasoning and comes with the risk of circular arguments and personal bias, therefore the assumed soil–vegetation relations were consistently tested against the actual palynological data and adjusted accordingly. Bias was minimised by consulting a specialist group (see acknowledgements) and where possible using the original authors’ interpretations from each study.

In a single case (map 3) archaeological data were taken into account when making a vegetation map. Recent palynological research demonstrated that virtually all barrows in Dutch sandy landscapes were erected on either natural or created open spaces, more specifically heathland, and that these heaths were managed (de Kort, Reference de Kort, Jansen and Louwe Kooijmans2007; Doorenbosch, Reference Doorenbosch2013). As these observations are corroborated by research abroad (Behre, Reference Behre2000; Hannon et al., Reference Hannon, Bradshaw, Nord and Gustafsson2008; Karg, Reference Karg2008; Fyfe, Reference Fyfe2012), we chose to denote the poor sandy soils in the environment of barrows as heath-rich areas.

Regional vegetation maps were constructed for six time-slices. The selection of these time-slices is based on large changes in vegetation composition, the availability of palynological data and developments in habitation history. In this process, the vegetation changes and palynological data were most important. The availability of archaeological and historical data obviously is of vital importance as well, but these were not leading in the selection process, therefore the quality of cultural data varies for each time-slice. Obviously, this is a problem that would arise in every selected study region and is related to research history and post-depositional factors.

The chosen time-slices are:

  1. (1) Younger Dryas, Late Palaeolithic, c. 10.000 BC (Fig. 5A)

  2. (2) Atlantic period, Early/Middle Neolithic, c. 4.000 BC (Fig. 6A)

  3. (3) Subboreal period, Middle Bronze Age, c. 1500 BC (Fig. 7A)

  4. (4) Subatlantic period, Roman period, c. AD 200 (Fig. 8A)

  5. (5) Subatlantic period, Late Middle Ages, c. AD 1500 (Fig. 9A)

  6. (6) Subatlantic, submodern period, c. AD 1900 (Fig. 10)

The basis of the first five maps is formed by a detailed physical geographical map of the eastern Netherlands (van Beek, Reference van Beek2009, Appendix 1). Map 6 is derived from historical maps (Grote Historische Atlas, 2005) instead of palynological data. The former provide a far more detailed and reliable impression.

Habitation patterns

The vegetation maps are compared to settlement patterns, with two goals: to analyse human influence on vegetation, and to identify physical factors that may have influenced site location. With regard to the latter, vegetation maps provide a new perspective for the Low Countries. Studies into the relations between habitation and physical geography in and near the research area, on the other hand, are well-represented (e.g. van der Hammen & Bakker, Reference van der Hammen, Bakker, van der Hammen and Wijmstra1971; van Beek, Reference van Beek2009, Reference van Beek2011; van Beek & Groenewoudt, Reference van Beek and Groenewoudt2013). The most important trends in site location documented in these studies are integrated into the discussions below because geomorphology and soil data are linked to vegetation. Some of the observations are therefore generated from the assembled modelled palynological datasets, whereas others are derived from previous (mostly recent) archaeological studies.

Archaeological data are plotted on the first four maps (Figs 5A–8A). Selections of specific site types are made that provide general impressions of occupation patterns and habitation density. The data are chiefly derived from national databases kept by the Cultural Heritage Agency of the Netherlands, complemented with a literature survey. The available data do not allow the reconstruction of fully reliable settlement patterns. They are biased as a result of post-depositional factors such as erosion and sedimentation, land-use history and research history (cf. van Beek, Reference van Beek2009, 493–508). Also, the ‘archaeological’ dates given to each vegetation map are general indications, therefore the site distribution patterns and their relation to vegetation can only provide general insights into human–land relations: they should be seen as working models. On the fifth map, which depicts the vegetation around AD 1500, the contemporary distribution pattern of farmsteads is plotted (Fig. 9A). These data are derived from historical geographical information (Werkgroep Historische Kaart van Twente, 1991) and provide a far more reliable and detailed picture. The sixth map (c. AD 1900) is not compared to habitation patterns as it is expected that the latter were not primarily dictated by environmental factors.

Relations between human activity and vegetation developments are not always straightforward (e.g. Loveluck & Dobney, Reference Loveluck, Dobney and Albarella2001). They do not necessarily follow unilinear, irreversible evolutionary lines. As stated by Dincauze (Reference Dincauze2000), ecological relationships are mutually constitutive. Humans affect plant assemblages. Equally, changes in plant assemblages affect human behaviour by redefining the range of opportunities presented by the habitat (Dincauze, Reference Dincauze2000, 391). Furthermore, positively correlated variables (characters that always occur together or change at the same time) do not by definition imply some causal link (Dincauze, Reference Dincauze2000, 32). If, for example, all settlements of the Neolithic Funnel Beaker Culture appear to be situated in deciduous forests, this does not necessarily mean that Funnel Beaker people preferred forests as habitats. A third variable, such as soil fertility, may have been more important, therefore it is imperative to analyse the mechanisms underlying such relationships and not just the patterns themselves (Dincauze, Reference Dincauze2000, 32).

Human influence on vegetation can be demonstrated in various ways. Obvious examples in pollen diagrams are the decrease of arboreal pollen and increase of heather and grasses, as well as the appearance of cereals, weeds and other anthropogenic indicators (Behre, Reference Behre1986). The position and context of sampling sites are of great importance. A pollen sample from the central part of a raised mire will demonstrate fewer (and different) human influences than one from a residual channel adjacent to a settlement site, let alone one from a well on a farmyard (Groenewoudt et al., Reference Groenewoudt, van Haaster, van Beek and Brinkkemper2007, 22). Furthermore, the information pollen spectra provide is spatially limited. A well-known palynological study at Flögeln (Germany) demonstrated that hardly any anthropogenic indicators were present in peat samples taken only a few kilometres away from archaeologically known settlements (Behre & Kucan, Reference Behre, Kucan and Behre1986; Groenewoudt et al., Reference Groenewoudt, van Haaster, van Beek and Brinkkemper2007, 22).

Artist impressions

All maps besides the ‘youngest’ one have been ‘translated’ into digital artist's impressions by a professional archaeological illustrator (Figs 5B–9B; Mikko Kriek, BCL Archaeological Support, Amsterdam). These are used to inform a wider audience, for example by displaying them in a local museum specialising in natural history, but are of interest for experts as well. The impressions are made in close cooperation between the illustrator and the present authors, and give an overview of the most important trends in vegetation and habitation (see below). The chosen viewpoint is approximately the centre of the research area, looking in an eastern direction towards the ice-pushed ridges of Ootmarsum (back left) and Oldenzaal (back right).

Results

Map 1: Younger Dryas, Late Palaeolithic, c. 10.000 BC (Figs 5A and 5B)

The Younger Dryas was characterised by a subarctic climate. It can be divided into a relatively wet and cold first part, and a slightly warmer and drier second part (e.g. van Geel et al., Reference van Geel, Coope and van der Hammen1989; Hoek, Reference Hoek1997a,Reference Hoekb). The first part is characterised by a high mortality in the birch (Betula) and pine (Pinus) forests that had developed in the preceding Allerød phase. In the second phase, depicted in Map 1 (Fig. 5A), large-scale sand drifts occurred due to the absence of a closed vegetation cover. On these young soils and on unsheltered higher parts of ice-pushed ridges an open, herbaceous vegetation developed. It consisted of Ericales, such as crowberry (Empetrum nigrum), grasses (Poaceae), sedges (Cyperaceae) and various herbs like wormwood (Artemisia), rockrose (Helianthemum) and dock (Rumex). Boulder clay occurs in parts of Twente. On these richer soils some scattered birches, dwarf shrubs, such as dwarf birch (Betula nana), willow (Salix), juniper (Juniperus) and many herbs were found. In local refugia, such as dry valleys on the eastern slopes of ice-pushed ridges, some pine survived. Braided rivers, with largely bare river plains, flowed through the lower parts of the landscape. Some trees and dwarf shrubs also occurred along sheltered river valleys.

Map 2: Atlantic period, Early/Middle Neolithic, c. 4000 BC (Figs 6A and 6B)

In the Atlantic period deciduous forests covered large parts of the landscape. They consisted mainly of oak (Quercus). Elm (Ulmus), lime (Tilia) and ash (Fraxinus) were also well-represented. The Atlantic woods probably consisted of a mosaic of different forest communities, dependent on local soil conditions. At forest edges and on slopes of sandy ridges a shrub vegetation is likely to have occurred, consisting of hazel (Corylus avellana) and bracken (Pteridium aquilinum). On poor and dry sandy soils pine forests were still present. These gradually disappeared during the Atlantic period. In forests on coversand plains, small-scale open spaces with heather and other herbs occurred. In moist valleys alder (Alnus) carr expanded significantly. Raised bogs started to develop in poorly drained areas. Locally, birch carr occurred.

Map 3: Subboreal period, Middle Bronze Age, c. 1500 BC (Figs 7A and 7B)

Large areas covered with deciduous forests were still present in the earliest stages of the Subboreal period. These were still dominated by oak, but contained less lime and elm than before. In the final phase of the Subboreal, beech appeared. Because of human activity, increasing numbers of small-scale woodland openings appeared. In some areas deforestation led to open vegetation rich in heath, herbs and some scattered shrubs. The area of pine forest decreased significantly. This forest type only survived on poor soils, such as ice-pushed ridges, and was probably more open than before. The anthropogenic indicator ribwort plantain (Plantago lanceolata) appeared, especially in areas with open grass vegetation that were heavily trampled or grazed. In residual channels and valleys alder carr was found, with willow (Salix) in the wettest places. Raised bogs expanded. Along the edges of the Almeler Veen raised bog, wet grasslands and reedbeds developed.

Map 4: Subatlantic period, Roman period, c. AD 200 (Figs 8A and 8B)

In the Subatlantic period, every pollen diagram shows a decrease in arboreal pollen and an increase in heather and grasses, combined with the appearance of cereal (Cerealia) pollen, arable weeds and other anthropogenic indicators. By the Roman period the forests on numerous sandy ridges had been cleared. The same accounts for the ice-pushed ridge of Markelo-Nijverdal, where open forests with hazel abundantly developed. Deciduous forests, mainly consisting of oak and beech (Fagus sylvatica), interspersed with large open spaces, were present on the other ice-pushed ridges and on low sandy plains. Heathlands developed on poor sandy soils. The Almeler Veen raised bog continued to expand.

Map 5: Subatlantic period, Late Middle Ages, c. AD 1500 (Figs 9A and 9B)

By the Late Middle Ages (AD 1300–1500), large areas were deforested. The remaining forests, mainly higher up on the ice-pushed ridges of Oldenzaal and Ootmarsum, were dispersed and open. An open landscape with scattered areas of shrub was present on the ice-pushed ridge of Markelo-Nijverdal. This vegetation type occurs on large sandy ridges as well. Heathlands became much more numerous and increased in size. In the valleys most alder carr had disappeared and was replaced by meadow. The size of the Almeler Veen raised bog decreased, and purple moor grass (Molinia caerulea) and birch started to expand onto its drier parts.

Map 6: Subatlantic period, submodern period, c. AD 1900 (Fig. 10)

As mentioned in the methodological section, historical maps are used to draw up the final vegetation map of c. AD 1900. It shows a very open landscape dominated by heathland, grassland and arable fields. Since the 19th century pine forests have been planted on a large scale. In some locations deciduous forests occur. Some dispersed forest remnants are found on sandy ridges, and heathland on nutrient-depleted ridges. Grasslands dominate the coversand plains and the valleys. Especially in eastern Twente these grasslands are frequently enclosed by hedges. In a few valleys alder carr is present. The Almeler Veen raised bog had been reduced significantly due to desiccation and large-scale reclamation. Reclaimed parts of the bog had been transformed into wet grasslands.

Discussion

In the Late Palaeolithic (c. 12.500–9.000 BC) human impact on the landscape was limited. Population density was low. Small groups of hunter-gatherers roamed across the landscape. Most Late Palaeolithic sites plotted on map 1 (Fig. 5A) probably belong to the Hamburg Culture, Federmesser Group and Ahrensburg Culture (Scholte Lubberink, Reference Scholte Lubberink, Deeben and Drenth1998; van Beek, Reference van Beek2009, 362–364). However, many sites cannot be assigned to a specific culture or group as they generally consist of surface flint scatters that are often not dated very precisely, therefore the age differences of the plotted sites are probably in the order of millennia. It has to be mentioned that Federmesser sites are frequently assumed to date from the Allerød phase (e.g. Stapert, Reference Stapert, Deeben, Drenth, van Oorsouw and Verhart2005). This would imply that they belong in an environment that is very different from Fig. 5A. However, the only precisely dated Federmesser site in the study area, excavated near Enter, actually was 14C-dated to an early phase of the Younger Dryas (Deeben et al., Reference Deeben, Brinkkemper, Groenewoudt, Lauwerier, Groenewoudt, van Heeringen and Scheepstra2006). Despite these problems the distribution pattern of Late Palaeolithic sites shows clear trends. Most sites are found along the sandy slopes of ice-pushed ridges. These relatively high areas in transitional zones between ice-pushed ridges and coversand landscapes were probably popular because these ‘intermediate’ areas had a high biodiversity and enabled the exploitation of different landscape zones. Many sites are situated in areas mapped as park landscape with birches, dwarf shrubs and many herbs. Others appear in open, herbaceous vegetations on high and dry soils. Previous studies on Late Palaeolithic site location in this region (Scholte Lubberink, Reference Scholte Lubberink, Deeben and Drenth1998, 113–115; Deeben et al., Reference Deeben, Brinkkemper, Groenewoudt, Lauwerier, Groenewoudt, van Heeringen and Scheepstra2006, 72–74; van Beek, Reference van Beek2009, 362–364) showed that, on a local level, the majority of sites occur on sandy ridges near moist depressions or active watercourses. This pattern fits well with our data.

Map 2 (Fig. 6A) reflects the vegetation around the transition from Early (5300–4200 BC) to Middle (4200–2850 BC) Neolithic. Early Neolithic sites are rare. Just some single finds of specific stone axe types date to this period (van der Waals, Reference van der Waals1972; Raemaekers, Reference Raemaekers1999, 102–106). Hardly anything is known about the character of the Neolithisation process in this region, but it occurred later and was slower than in the southern loess belt (Bakels, Reference Bakels1978, Reference Bakels2009; Verhart, Reference Verhart2000; Vergne et al., Reference Vergne, Munaut, Ducrocq, Bostyn, Miras and Richard2004). Judging from both pollen data and archaeological evidence, human impact on the landscape in our study area was very limited in the earlier stages of the Neolithic. The Middle Neolithic Funnel Beaker Culture (3400–2750 BC), however, is clearly recognisable in both archaeological and palynological records (Bakker, Reference Bakker1979, Reference Bakker2003; Bakker & Groenman-van Waateringe, Reference Bakker, Groenman-van Waateringe, Groenman-van Waateringe and Robinson1988; Spek, Reference Spek2004, 124–130). Sites are found nearby or on ice-pushed ridges, or on sandy ridges along rivers such as the Dinkel (Bakker, Reference Bakker1982, 107–108; van Beek, Reference van Beek2009, 370–372). These areas are mainly mapped as shady deciduous forests on dry soils. Settlements did not have fixed locations, but shifted frequently. Unfortunately, many Neolithic settlement sites, and flint and stone axes cannot be dated precisely. With regard to site location, the majority can be divided in two groups. The first consists of sites found in relatively high places, such as the slopes of ice-pushed ridges. Here shady deciduous forests were probably present. At the tops of the ice-pushed ridges, which are shown mainly covered with pine forests, fewer sites occur. The second group consists of sites near watercourses and in low and moist areas. Here, site densities are low. Depending on soil conditions, deciduous forest, alder carr or birch carr occurred. As the exact spatio-temporal development of the Almeler Veen raised bog is unknown, its precise extension during this phase is uncertain. The cluster of axe finds along its southern edges may represent deliberate depositions in a paludifying environment.

Map 3 (Fig. 7A) reflects the vegetation in the Middle Bronze Age (1800–1100 BC), but the plotted archaeological sites again cover a longer time span. For example, many barrows (Lohof, Reference Lohof1991; van Beek, Reference van Beek2011) are probably older than 1500 BC. However, most cannot be dated precisely due to a lack of excavation data. As hardly any Middle Bronze Age settlement sites are known, these are not depicted. Much more information is available on the Late Bronze Age and Early Iron Age (1100–500 BC). Urnfields (collective burial sites) are especially numerous (Verlinde, Reference Verlinde1987; van Beek & Louwen, Reference van Beek, Louwen, Fontijn, Louwen, van der Vaart and Wentink2013). Combined with various settlement sites and single stone and bronze objects, they probably offer a good impression of late prehistoric habitation patterns. Because of human activity increasing numbers of small-scale woodland openings appeared, especially on high and dry sandy soils used for settlements and arable fields (e.g. Groenewoudt et al., Reference Groenewoudt, van Haaster, van Beek and Brinkkemper2007; Bos & Zuidhoff, Reference Bos, Zuidhoff and van der Velde2011). Barrow clusters are mainly found at (the higher parts of) ice-pushed ridges. As mentioned in the methodological section, the poor sandy soils in the environment of all barrows have all been denoted as heath-rich areas. Large parts of the Oldenzaal ice-pushed ridge appear to have been more heavily forested than the ice-pushed ridges of Markelo-Nijverdal and Ootmarsum, which were mainly covered with open deciduous forests. This is probably due to differences in both geology and habitation density (van Beek, Reference van Beek2011; van Beek & Louwen, Reference van Beek, Louwen, Fontijn, Louwen, van der Vaart and Wentink2013). Wet areas mapped as alder carr, birch carr and raised bogs were probably uninhabited. In some of these areas isolated (bronze) objects have been found.

Map 4 (Fig. 8A) represents the vegetation around AD 200. In the Dutch archaeological chronology this corresponds to the Middle Roman period (AD 70–270). Nevertheless, all Roman-period sites in Twente – which was never incorporated in the Roman Empire – are indicated. The small number of known sites can partly be explained by the relatively short time span they cover, compared to the previous maps. Furthermore, a change in settlement system occurred. The typical late prehistoric shifting settlements consisting of single farmsteads (van Beek, Reference van Beek2011) were gradually replaced by fixed, nucleated settlements (van Beek, Reference van Beek2009, 440–446; van der Velde, Reference van der Velde2011; van Beek & Groenewoudt, Reference van Beek and Groenewoudt2013), therefore the total number of archaeologically traceable settlement sites decreased significantly. Most settlements were situated on large sandy ridges. These are partly mapped as open deciduous forests. Various pollen samples from archaeological contexts (mainly wells) show that open and half-open landscapes developed at intensively inhabited locations, especially during the Iron Age and Roman period (Groenewoudt et al., Reference Groenewoudt, van Haaster, van Beek and Brinkkemper2007). At the transition from the Roman period to the Early Middle Ages some pollen diagrams evidence forest regeneration on both dry and wet soils (van Geel et al., Reference van Geel, Bohncke and Dee1981; Bos & Zuidhoff, Reference Bos, Zuidhoff and van der Velde2011). This trend might have been caused by decreased habitation density or a change in habitation pattern or subsistence economy.

The historical geographical data used to reconstruct habitation patterns around AD 1500 (Werkgroep Historische Kaart van Twente, 1991) do not cover northwest Twente. However, map 5 (Fig. 9A) demonstrates that information on other parts of the region is more detailed and less biased than the archaeological patterns used before. Twente was dotted with (mostly single) farmsteads. The ribbon-like strings of farms alongside ice-pushed ridges immediately catch the eye. Also, numerous sites are found alongside the Dinkel valley. The availability of arable land was the most important site location factor. The site distribution pattern reflects both the actual situation around AD 1500 and a palimpsest of site location choices. Many farms founded centuries earlier, from the 9th century onwards, had not shifted significantly (van Beek et al., Reference van Beek, Groenewoudt and Keunen2014). Farmsteads are always found at the transition of sandy ridges to other landscape units, and therefore other vegetation types: heathland, grassland, open landscapes with dispersed shrubs or open deciduous forests. Homogeneous and nutrient-poor areas such as heathlands or open deciduous forests were hardly inhabited. The specific microregional setting of each farm probably influenced its subsistence economy, but evidence on this topic is very scant. Also, socio-political factors influencing site location should not be overlooked (cf. Evans, Reference Evans2003, 3–5). In the final stages of the Middle Ages large-scale reclamations took place in the lower parts of the landscape. From the 14th century onwards buckweed (Fagopyrum esculentum) was cultivated on peaty soils. These soils were frequently burned to increase their fertility (Lenting, Reference Lenting1853). This led to large-scale destruction of the upper parts of peat profiles and the palynological information they contained.

No formal comparison to habitation patterns is made for the AD 1900 map (Fig. 10). These are clearly far less determined by environmental factors than in any of the phases discussed before.

Conclusions

The main aim of this paper is to offer a new regional and diachronic perspective on the structure and development of the vegetation and habitation of one of the Low Countries’ sandy regions. As site-based studies and microregional reconstructions so far have prevailed in archaeological research, there is a need to understand regional trends in order to place local changes in context. This wider perspective is often lost in commercial research, where studies are generally only small-scale and site-specific, with little to no regional context, which itself is frequently only derived from generalised patterns of regional change. Except for the ‘youngest’ one, the constructed vegetation maps do not offer exact ‘snapshots’ of the vegetation at specific moments in time. In reality, vegetation structure was endlessly more complex and dynamic than any map suggests. The maps can, however, serve as first-stage generalised models that predict regional trends, allow subsequent testing and place site-specific archaeological data in a wider context.

The main trends in the Late Glacial and Holocene vegetation development of Twente are similar to those found in neighbouring parts of northwest Europe (e.g. Munaut, Reference Munaut1967; Lang, Reference Lang1994; Berglund et al., Reference Berglund, Birks, Ralska-Jasiewiczowa and Wright1996). On closer inspection, however, no two regions are the same. In this context the term ‘contingency’ might be appropriate. Contingencies can be defined as ‘unique, historical configurations of phenomena’ (Dincauze, Reference Dincauze2000, 22; citing Gould, Reference Gould1986). In our study the spatio-temporal differences in vegetation development mainly originate from variations in elevation, soil and hydrology, combined with human activity. The landscape of Twente was increasingly influenced by humans. Especially since the Bronze Age human interferences had a more noticeable and permanent impact on vegetation. Besides vegetation changes, human activity was also reflected in drifting sands, soil degradation and acidification, erosion and sedimentation and so on. In turn, these landscape changes influenced vegetation. Different developments led to a great spatial variety in vegetation development, on different scale levels, and ultimately to the present-day mosaic of landscapes in Twente.

Within a northwest European context, this research mainly stands out for its spatio-temporal scale, the incorporation of data from different sampling contexts and their translation into evidence-based vegetation maps. The main focus was on regional trends and their correlation with contemporary archaeological data. However, the dataset has a far greater potential and can be used to answer additional questions. It could prove interesting, for example, to create several vegetation reconstructions on different scale levels and compare these to habitation patterns (cf. Groenewoudt et al., Reference Groenewoudt, van Haaster, van Beek and Brinkkemper2007, for a site level). All the palynological data used are registered in the Dutch National Pollen Database (Donders et al., Reference Donders, Bunnik and Bouman2010) and remain accessible.

This study demonstrates that large pollen datasets can be used to identify regional trends and changing vegetation cover, which in turn can be studied in relation to archaeological and historical patterns. The research method can be applied to other regions as well, provided some basic conditions are met. Obviously an adequate number of (preferably high-quality) palynological sources has to be available. In this study, the number of available sources greatly exceeded expectations. Various national institutions appeared to manage substantial bodies of relevant unpublished data, which were available for study. Not a single new pollen sample was taken. This indicates that the inventorying and integral analysis of ‘old’ data has a high research potential, provided that the data are used in a scientifically sound way and their limitations are acknowledged. Furthermore, information has to be available on the geomorphological development of the area under study, combined with detailed soil maps.

Acknowledgements

This research is part of the project Deconstructing Stability. Modeling changing environmental conditions and man-land relations in the Pleistocene landscape of Twente (2850–12 BC) of the Faculty of Archaeology of Leiden University, financed by the Dutch Organisation for Scientific Research (NWO). Additional funding has been granted by the Province of Overijssel (Zwolle), the Cultural Heritage Agency of the Netherlands (RCE; Amersfoort) and the Foundation for Anthropology and Prehistory in the Netherlands (SNMAP; Amsterdam). We thank Mikko Kriek (BCL Archaeological Support), who made all artist impressions, for his pleasant and professional cooperation. Many colleagues kindly assisted by providing and discussing (sometimes unpublished) palynological data, by participating in a workshop in which methodology and preliminary results were discussed (RCE, Amersfoort, January 2013) and by commenting on earlier drafts of this paper or otherwise: Bas van Geel (University of Amsterdam), Wim Hoek (Utrecht University), Joop Kalis (J.W. Goethe University Frankfurt, Germany), Frans Bunnik, Timme Donders (TNO, Utrecht), Otto Brinkkemper, Bert Groenewoudt, Jan-Willem de Kort, Bjørn Smit (all RCE), Henk van Haaster (BIAX Consult, Zaandam), Gilbert Maas (Alterra, Wageningen), Harm Smeenge (Government Service for Land and Water Management/University of Groningen), Marieke Doorenbosch (Leiden University) and Suzanne Wentink (Province of Overijssel). Alistair Bright (Leiden) edited the final English draft.

Appendix 1. Overview of inventoried palynological sites in and near Twente. Sites may be recorded more than once if samples were analysed on different occasions or by different organisations. Only the most important literature sources are listed. Map numbers (last column): 1 = Younger Dryas, Late Palaeolithic; 2 = Atlantic period, Early/Middle Neolithic; 3 = Subboreal period, Middle Bronze Age; 4 = Subatlantic period, Roman period; 5 = Subatlantic period, Late Middle Ages.

Footnotes

Abbreviations: UVA = University of Amsterdam; BIAX = BIAX Consult, Zaandam; UM = University of Münster, Germany; StiBoKa = former Foundation for Soil Mapping (Stichting voor BodemKartering); RGD = former National Geological Survey (Rijks Geologische Dienst); CHE = Cultural Heritage Agency of the Netherlands, Amstersfoort; FUA = Free University, Amsterdam.

References

Andersen, S.T., 1970. The relative pollen productivity and pollen representation of north European trees, and correction factors for tree pollen spectra. Danmarks Geologiske Undersøgelse (ser 2) 96: 199.Google Scholar
Bakels, C.C., 1978. Four linearbandkeramik settlements and their environment: a paleoecological study of Sittard, Stein, Elsloo and Hienheim. Analecta Praehistorica Leidensia 11 (Leiden): 244 pp.Google Scholar
Bakels, C.C., 2009. The Western European Loess Belt: Agrarian history, 5300 BC–AD 1000. Springer (Dordrecht): 296 pp.CrossRefGoogle Scholar
Bakker, J.A., 1979. The TRB West Group. Studies in the Chronology and Geography of the Makers of Hunebeds and Tiefstich pottery. Cingula V (Amsterdam): 238 pp.Google Scholar
Bakker, J.A., 1982. TRB settlement patterns around the southern North Sea. Analecta Praehistorica Leidensia 15: 87124.Google Scholar
Bakker, R., 2003. The emergence of agriculture on the Drenthe Plateau: a palaeobotanical study supported by high-resolution C-14 dating. Archäologische Berichte 16. Ph.D. dissertation, University of Groningen: 305 pp.Google Scholar
Bakker, J.A. & Groenman-van Waateringe, W., 1988. Megaliths, soils and vegetation on the Drenthe Plateau. In: Groenman-van Waateringe, W. & Robinson, M. (eds): Man-made soils. Bar International Series 410, B.A.R. (Oxford): 143181.Google Scholar
Behre, K.-E. (ed.), 1986. Anthropogenic indicators in pollen diagrams. A.A. Balkema (Rotterdam): 245 pp.Google Scholar
Behre, K.-E., 2000. Frühe Ackersysteme, Düngemethoden und Entstehung der nordwestddeutschen Heiden. Archäologisches Korrespondenblatt 30: 135151.Google Scholar
Behre, K.-E. & Kucan, D., 1986. Die Reflektion archäologisch bekannter Siedlungen in Pollendiagrammen verschiedener Entfernung-Beispiele aus der Siedlungskamer Flögeln, Nordwestdeutschland. In: Behre, K.-E. (ed.): Anthropogenic Indicators in Pollendiagrams, A.A. Balkema (Rotterdam): 95114.Google Scholar
Berglund, B.E., Birks, H.J.B., Ralska-Jasiewiczowa, M. & Wright, H.E. (eds), 1996. Palaeoecological Events During the Last 15.000 Years. Regional Syntheses of Palaeoecological Studies of Lakes and Mires in Europe. Whiley (Chichester): 784 pp.Google Scholar
Blaauw, M., 2003. An investigation of Holocene sun-climate relationships using numerical C-14 wiggle-match dating of peat deposits. Ph.D. dissertation, University of Amsterdam: 107 pp.Google Scholar
Borger, G.J., 1992. Draining – digging – dredging: the creation of a new landscape in the peat areas of the low countries. In: Verhoeven, J.T.A. (ed.): Fens and bogs in the Netherlands; Vegetation, history, nutrient dynamics and conservation. Geobotany 18, Springer (Deventer): 131171.Google Scholar
Bos, J.A.A. & Zuidhoff, F.S., 2011. Het landschap van de Borchert. In: van der Velde, H.M. (ed.): Germanen op de Borchert. Een oude opgraving in Denekamp opnieuw belicht. ADC Roel Brandt Stichting (Amersfoort): 3160.Google Scholar
Bos, J.A.A., Huisman, D.J., Kiden, P., Hoek, W.Z. & van Geel, B., 2005a. Early Holocene environmental change in the Kreekrak area (Zeeland, SW-Netherlands): A multi-proxy analysis. Palaeogeography, Palaeoclimatology, Palaeoecology 227: 259289.CrossRefGoogle Scholar
Bos, J.A.A., van Geel, B., Groenewoudt, B.J. & Lauwerier, R.C.G.M., 2005b. Early Holocene environmental change, the presence and disappearance of early Mesolithic habitation near Zutphen (The Netherlands). Vegetation History and Archaeobotany 15: 2744.CrossRefGoogle Scholar
Bouman, M.T.I.J., Bos, J.A.A. & van Beek, R., 2013. Van wildernis naar cultuurlandschap. Een reconstructie van de regionale vegetatieontwikkeling van Twente in het Holoceen. ADC Rapport 3413 (Amersfoort): 64 pp.Google Scholar
Brandt, R., Groenewoudt, B.J. & Kvamme, K.L., 1992. An experiment in archaeological site location: modelling in the Netherlands using GIS techniques. World Archaeology 24: 268282.CrossRefGoogle Scholar
Broström, A., 2002. Estimating source area of pollen and pollen productivity in cultural landscapes of southern Sweden: developing a palynological tool for quantifying past plant cover. Lundqua Thesis 46. Ph.D. dissertation, University of Lund: 116 pp.Google Scholar
Broström, A., Gaillard, M.-J., Ihse, M. & Odgaard, B.V., 1998. Pollen-landscape relationships in modern analogues of ancient cultural landscapes in southern Sweden – a first step towards quantification of vegetation openness in the past. Vegetation History and Archaeobotany 7: 189201.CrossRefGoogle Scholar
Broström, A., Nielsen, A.B., Gaillard, M.-J., Hjelle, K., Mazier, F., Binney, H., Bunting, J., Fyfe, R., Meltsov, V., Poska, A., Räsänen, S., Soepboer, W., Von Stedingk, H., Suutari, H. & Sugita, S., 2008. Pollen productivity estimates of key European plant taxa for quantitative reconstruction of past vegetation: a review. Vegetation History and Archaeobotany 17: 461478.CrossRefGoogle Scholar
Bunting, M.J., 2002. Detecting woodland remnants in cultural landscapes: Modern pollen deposition around small woodlands in Northwest Scotland. The Holocene 12: 291301.CrossRefGoogle Scholar
Bunting, M.J. & Hjelle, K.L., 2010. Effect of vegetation data collection strategies on estimates of relevant source area of pollen (RSAP) and relative pollen productivity estimates (relative PPE) for non-arboreal taxa. Vegetation History and Archaeobotany 19: 365374.CrossRefGoogle Scholar
Bunting, M.J. & Middleton, D., 2005. Modelling pollen dispersal and deposition using HUMPOL software, including simulating windroses and irregular lakes. Review of Palaeobotany and Palynology 134: 185196.CrossRefGoogle Scholar
Bunting, M.J., Gaillard, M.-J., Sugita, S., Middleton, R. & Broström, A., 2004. Vegetation structure and pollen source area. The Holocene 14: 651660.CrossRefGoogle Scholar
Burrichter, E., 1969. Das Zwillbrocker Venn, Westmünsterland, in Moor- und vegetationskundlicher Sicht. Mit einem Beitrag zur Wald- und Siedlungsgeschichte seiner Umgebung. Abhandlungen aus dem Landesmuseum für Naturkunde zu Münster in Westfalen 31–1 (Münster): 60 pp.Google Scholar
Burrichter, E., 1973. Die potentielle natürliche Vegetation in der Westfälischen Bucht. Erläuterungen zur Übersichtskarte 1: 200 000. Landeskundliche Karten und Hefte der Geographischen Kommission für Westfalen, Reihe Siedlung und Landschaft in Westfalen 8 (Münster): 58 pp.Google Scholar
Deeben, J., Hallewas, D.P., Kolen, J. & Wiemer, R., 1997. Beyond the Crystal Ball. Predictive Modelling as a Tool in Archaeological Heritage Management and Occupation History. In: Willems, W.J.H., Kars, H. & Hallewas, D.P. (eds): Archaeological Heritage Management in the Netherlands. Fifty Years State Service for Archaeological Investigations. Van Gorcum/Rijksdienst voor het Oudheidkundig Bodemonderzoek (Assen/Amersfoort): 76118.Google Scholar
Deeben, J., Brinkkemper, O., Groenewoudt, B.J. & Lauwerier, R.C.G.M., 2006. Een Federmesser-site van de Enterse akkers (Gemeente Wierden, Overijssel). In: Groenewoudt, B.J., van Heeringen, R.M. & Scheepstra, G.H. (eds): Het zandeilandenrijk van Overijssel. Bundel verschenen ter gelegenheid van de pensionering van A.D. Verlinde als archeoloog in, voor en van Overijssel. Nederlandse Archeologische Rapporten 22. Rijksdienst voor het Oudheidkundig Bodemonderzoek (Amersfoort): 4982.Google Scholar
de Kort, J.W., 2007. De vegetatieontwikkeling rondom de Zevenbergen bij Oss, circa 1800–500 v. Chr.: een inspiratiebron voor natuurontwikkeling en landschapsbeheer. In: Jansen, R. & Louwe Kooijmans, L.P. (eds): 10 Jaar Archol. Van contract tot wetenschap. Archol BV (Leiden): 221234.Google Scholar
de Rooi, C.-J., 2008. Waar de venen groeiden: de Achterhoek. Historisch-Geografisch Tijdschrift 26: 117129.Google Scholar
Dimbleby, G.W., 1985. The palynology of archaeological sites. Academic Press (London): 176 pp.Google Scholar
Dincauze, D.F., 2000. Environmental Archaeology. Principles and Practice. Cambridge University Press (Cambridge): 587 pp.CrossRefGoogle Scholar
Donders, T.H., Bunnik, F.P.M. & Bouman, M.T.I.J., 2010. De Nederlandse biostratigrafie database, v1.0: pollen biozones. TNO Rapport TNO-034-UT-2010-01172 (Delft).Google Scholar
Doorenbosch, M., 2013. Ancestral Heaths. Reconstructing the Barrow Landscape in the Central and Southern Netherlands. Ph.D. dissertation, University of Leiden: 280 pp.Google Scholar
Dupont, L.M. & Brenninkmeijer, C.A.M., 1984. Palaeobotanic and isotopic analysis of Late Subboreal and Early Subatlantic peat from Engbertsdijkveen VII, The Netherlands. Review of Palaeobotany and Palynology 41: 241271.CrossRefGoogle Scholar
Evans, J.G., 2003. Environmental archaeology and the social order. Routledge (London/New York): 296 pp.Google Scholar
Evans, J. & O’Connor, T., 1999. Environmental Archaeology. Principles and Methods. Sutton Publishing (Stroud): 280 pp.Google Scholar
Fyfe, R.M., 2012. Bronze Age landscape dynamics: spatially detailed pollen analysis from a ceremonial complex. Journal of Archaeological Science 39: 27642773.CrossRefGoogle Scholar
Fyfe, R.M., Twiddle, C., Sugita, S., Gaillard, M.-J., Barratt, P., Caseldine, C.J., Dodson, J., Edwards, K.J., Farrell, M., Froyd, C., Grant, M.J., Huckerby, E., Innes, J.B., Shaw, H. & Waller, M., 2013. The Holocene vegetation cover of Britain and Ireland: overcoming problems of scale and discerning patterns of openness. Quaternary Science Reviews 73: 132148.CrossRefGoogle Scholar
Gaillard, M.-J., Sugita, S., Bunting, M.J., Middleton, R., Broström, A., Caseldine, C., Giesecke, T., Hellman, S.E.V., Hicks, S., Hjelle, K., Langdon, C., Nielsen, A.B., Poska, A., Von Stedingk, H., Veski, S. & Members, P., 2008. The use of modelling and simulation approach in reconstructing past landscapes from fossil pollen data: A review and results from the POLLANDCAL network. Vegetation History and Archaeobotany 17: 419443.CrossRefGoogle Scholar
Gaillard, M.-J., Sugita, S., Mazier, F., Trondman, A.K., Broström, A., Hickler, T., Kaplan, J.O., Kjellström, E., Kokfelt, U., Kuneš, P., Lemmen, C., Miller, P., Olofsson, J., Poska, A., Rundgren, M., Smith, B., Strandberg, G., Fyfe, R., Nielsen, A.B., Alenius, T., Balakauskas, L., Barnekow, L., Birks, H.J.B., Bjune, A., Björkman, L., Giesecke, T., Hjelle, K., Kalnina, L., Kangur, M., van der Knaap, W.O., Koff, T., Lageras, P., Latałowa, M., Leydet, M., Lechterbeck, J., Lindbladh, M., Odgaard, B.V., Peglar, S., Segerström, U., Von Stedingk, H. & Seppä, H., 2010. Holocene land-cover reconstructions for studies on land cover-climate feedbacks. Climate of the Past 6: 483499.CrossRefGoogle Scholar
Gamble, C., 1986. The Palaeolithic Settlement of Europe. Cambridge University Press (Cambridge): 471 pp.Google Scholar
Gerding, M.A.W., 1995. Vier eeuwen turfwinning. De verveningen in Groningen, Friesland, Drenthe en Overijssel tussen 1550–1950. A.A.G. Bijdragen 35. Ph.D. dissertation, University of Wageningen: 533 pp.Google Scholar
Gerrets, D.A., Opbroek, M., & Williams, G.L. (eds), 2012. Onvoltooid verleden. Sporen van meer dan 10.000 jaar menselijke activiteiten langs de Regge bij Nijverdal. ADC-Monografie 13 (Amersfoort): 344 pp.Google Scholar
Gould, S.J., 1986. Evolution and the triumph of homology, or why history matters. American Scientist 74: 6069.Google Scholar
Groenewoudt, B.J., van Haaster, H., van Beek, R. & Brinkkemper, O., 2007. Towards a reverse image. Botanical research into the landscape history of the Eastern Netherlands (1100 B.C.–A.D. 1500). Landscape History 29: 1733.CrossRefGoogle Scholar
Grote Historische Atlas, 2005. Grote Historische topografische Atlas ± 1905, Overijssel. Nieuwland (Utrecht): 168 pp.Google Scholar
Hannon, G.E., Bradshaw, R.H.W., Nord, J. & Gustafsson, M., 2008. The Bronze Age landscape of the Bjäre peninsula, southern Sweden, and its relationship to burial mounds. Journal of Archaeological Science 35: 623632.CrossRefGoogle Scholar
Havinga, A. J., 1967. Palynology and pollen preservation. Review of Palaeobotany and Palynology 2: 8198.CrossRefGoogle Scholar
Heiri, O., Cremer, H., Engels, S., Hoek, W. Z., Peeters, W. & Lotter, A.F., 2007. Lateglacial summer temperatures in the Northwest European lowlands: a chironomid record from Hijkermeer, the Netherlands. Quaternary Science Reviews 26: 24202437.CrossRefGoogle Scholar
Hjelle, K.L., Solem, T., Halvorsen, L.S. & Åstveid, L.C., 2012. Human impact and landscape utilization from the Mesolithic to medieval time traced by high spatial resolution pollen analysis and numerical methods. Journal of Archaeological Science 39: 13681379.CrossRefGoogle Scholar
Hoek, W.Z., 1997a. Palaeogeography of Lateglacial vegetations. Aspects of Lateglacial and Early Holocene vegetation, abiotic landscape, and climate in The Netherlands. Nederlandse Geografische Studies 230. Ph.D. dissertation, University of Utrecht: 147 pp.Google Scholar
Hoek, W.Z., 1997b. Atlas to palaeogeography of Lateglacial vegetations. Maps of Lateglacial and Early Holocene landscape and vegetation in The Netherlands, with an extensive review of available palynological data. Nederlandse Geografische Studies 231 (Utrecht/Amsterdam): 165 pp.Google Scholar
Hoek, W.Z., Bohncke, S.J.P. & Ganssen, G.M., 1999. Lateglacial environmental changes recorded in calcareous gyttja deposits at Gulickshof, southern Netherlands. Boreas 42: 123139.Google Scholar
Huntley, B. & Birks, H.J.B., 1983. An atlas of past and present pollen maps for Europe: 0–13000 years ago. Cambridge University Press (Cambridge): 688 pp.Google Scholar
Isenberg, E., 1979. Pollenanalytische Untersuchungen zur Vegetations- und Siedlungsgeschichte im Gebiet der Graftschaft Bentheim. Abhandlungen aus dem Landesmuseum für Naturkunde zu Münster in Westfalen 41 (Münster): 63 pp.Google Scholar
Jacobson, G.L. & Bradshaw, R.H.W., 1981. The selection of sites for palaeovegetational studies. Quaternary Research 16: 8096.CrossRefGoogle Scholar
Janssen, C.R., 1972. The Palaeoecology of plant communities in the Dommel valley, North Brabant, Netherlands. Journal of Ecology 60: 411437.CrossRefGoogle Scholar
Janssen, C.R., 1973. Local and regional pollen deposition. In: Birks, H.J.B. & West, R.G. (eds): Quaternary Plant Ecology. Blackwell Scientific Publications (Oxford): 3142.Google Scholar
Janssen, C.R., 1974. Verkenningen in de palynologie. Oosthoek, Scheltema & Holkema (Utrecht): 176 pp.Google Scholar
Karg, S., 2008. Direct evidence of heathland management in the early Bronze Age (14th century B.C.) from the grave-mound Skelhøj in western Denmark. Vegetation History and Archaeobotany 17: 4149.CrossRefGoogle Scholar
Kooistra, M.J. & Kooistra, L.I., 2003. Integrated research in archaeology using soil micromorphology and palynology. Catena 54: 603617.CrossRefGoogle Scholar
Koster, E.A., 2009. The ‘European Aeolian Sand Belt’: Geoconservation of Drift Sand Landscapes. Geoheritage 1: 93110.CrossRefGoogle Scholar
Kuhry, P., 1985. Transgression of a raised bog across a coversand ridge originally covered with an oak-lime forest. Paleoecological study of a Middle Holocene local vegetational succession in the Amtsven (northwest Germany). Review of Palaeobotany and Palynology 44: 303353.CrossRefGoogle Scholar
Lang, G., 1994. Quartäre Vegetationsgeschichte Europas. Methoden und Ergebnisse. Fisher, (Jena/Stuttgart/New York): 462 pp.Google Scholar
Lenting, J.L., 1853. De boekweit-teelt in Nederland; met eene voorrede van H.C. van Hall. Oomkes (Groningen): 66 pp.Google Scholar
Lohof, E., 1991. Grafritueel en sociale verandering in de bronstijd van Noordoost-Nederland. Ph.D. dissertation, University of Amsterdam: 349 pp.Google Scholar
Loveluck, C. & Dobney, K., 2001. A match made in heaven or a marriage of convenience? The problems and rewards of integrating paleoecological and archaeological data. In: Albarella, U. (ed.): Environmental Archaeology: Meaning and Purpose. Environmental Science and Technology Library 17. Kluwer Academic Publishers (Dordrecht): 149175.CrossRefGoogle Scholar
Middeldorp, A.A., 1984. Functional Paleoecology of raised Bogs. An analysis by means of pollen density dating, in connection with the regional forest history. University of Amsterdam, Hugo de Vries-Laboratory (Amsterdam): 124 pp.Google Scholar
Middeldorp, A.A., 1986. Functional palaeoecology of the Hannenmoor raised bog ecosystem – a study of vegetation, history, production and decomposition by means of pollen density dating. Review of Palaeobotany and Palynology 49: 173.CrossRefGoogle Scholar
Munaut, A.-V., 1967. Recherches paleo-ecologiques en Basse et Moyenne Belgique. Acta Geographica Lovaniensia 6 (Louvain): 191 pp.Google Scholar
Neefjes, J. & Willemse, N.W., 2009. Cultuurhistorische Atlas Winterswijk. RAAP BV/Bureau Overland (Utrecht): 192 pp.Google Scholar
Nielsen, A.B., Giesecke, T., Theuerkauff, M., Feeser, I., Behre, K.-E., Beug, H.-J., Chen, S.H., Christiansen, J., Dörfler, W., Endtmann, E., Jahns, S., de Klerk, P., Kühl, N., Latałowa, M., Odgaard, B.V., Rasmussen, P., Stockholm, J.R., Voigt, R., Wiethold, J. & Wolters, S., 2012. Quantitative reconstructions of changes in regional openness in north-central Europe reveal new insights into old questions. Quaternary Science Reviews 47, 131149.CrossRefGoogle Scholar
O’Connor, T., 2001. Economic prehistory or environmental archaeology? On gaining a sense of identity. In: Albarella, U. (ed.): Environmental Archaeology: Meaning and Purpose. Environmental Science and Technology Library 17. Kluwer Academic Publishers (Dordrecht): 1727.CrossRefGoogle Scholar
Pott, R., 1984. Pollenanalytische Untersuchungen zur Vegetations- und Siedlungsgeschichte im Gebiet der Borkenberge bei Haltern in Westfalen. Abhandlungen aus dem Westfälischen Museum für Naturkunde 46–2 (Münster): 28 pp.Google Scholar
Raemaekers, D.C.M., 1999. The articulation of a ‘New Neolithic’. The meaning of the Swifterbant Culture for the process of neolithisation in the western part of the North European Plain (4900–3400 BC). Archaeological Studies Leiden University 3. Ph. D. Dissertation, University of Leiden: 224 pp.Google Scholar
Scholte Lubberink, H.B.G., 1998. De landschappelijke ligging van archeologische sites uit de steentijd en de Vroege Bronstijd in Noordoost-Twente, Provincie Overijssel. In: Deeben, J. & Drenth, E. (eds): Bijdragen aan het onderzoek naar de Steentijd in Nederland. Verslagen van de ‘Steentijddag’ 1. Rapportage Archeologische Monumentenzorg 68. Rijksdienst voor het Oudheidkundig Bodemonderzoek (Amersfoort): 111122.Google Scholar
Spek, T., 2004. Het Drentse esdorpenlandschap: een historisch-geografische studie. Matrijs (Utrecht): 1100 pp.Google Scholar
Stapert, D., 2005. Het Laat-Paleolithicum in Noord-Nederland. In: Deeben, J., Drenth, E., van Oorsouw, M. & Verhart, L. (eds): De Steentijd van Nederland. Archeologie 11/12. Stichting Archeologie (Meppel): 143170.Google Scholar
Stobbe, A., 1996. Die holozäne Vegetationsgeschichte der nördlichen Wetterau – paläoökologische Untersuchungen unter besonderer Berücksichtigung anthropogener Einflüsse. Dissertationes Botanicae 260. Schweizerbart Science Publishers (Berlin): 216 pp.Google Scholar
Succow, M. & Joosten, H., 2001. Landschaftsökologische Moorkunde (Zweite, völllig neu bearbeitete Auflage). Schweizerbart Science Publishers (Stuttgart): 622 pp.Google Scholar
Sugita, S., 1994. Pollen representation of vegetation in Quaternary sediments: Theory and method in patchy vegetation. Journal of Ecology 82: 881897.CrossRefGoogle Scholar
Sugita, S., 2007a. Theory of quantitative reconstruction of vegetation I: pollen from large sites REVEALS regional vegetation composition. The Holocene 17: 229241.CrossRefGoogle Scholar
Sugita, S., 2007b. Theory of quantitative reconstruction of vegetation II: All you need is LOVE. The Holocene 17: 243257.CrossRefGoogle Scholar
Sugita, S., Gaillard, M.-J. & Broström, A., 1999. Landscape openness and pollen records: a simulation approach. The Holocene 9: 409421.CrossRefGoogle Scholar
Sugita, S., Hicks, S. & Sormunen, H., 2010a. Absolute pollen productivity and pollen-vegetation relationships in northern Finland. Journal of Quaternary Science 25: 724736.CrossRefGoogle Scholar
Sugita, S., Parshall, T., Calcote, R. & Walker, K., 2010b. Testing the Landscape Reconstruction Algorithm for spatially explicit reconstruction of vegetation in northern Michigan and Wisconsin. Quaternary Research 74: 289300.CrossRefGoogle Scholar
Tolksdorf, J.F. & Kaiser, K., 2012. Holocene aeolian dynamics in the European sand-belt as indicated by geochronological data. Boreas 41: 408421.CrossRefGoogle Scholar
van Asch, N., Heiri, O., Bohncke, S.J.P. & Hoek, W.Z., 2013. Climatic and environmental changes during the Weichselian Lateglacial Interstadial in the Weerterbos region, the Netherlands. Boreas 42: 123139.CrossRefGoogle Scholar
van Beek, R., 2009. Reliëf in tijd en ruimte, Interdisciplinair onderzoek naar bewoning en landschap van Oost-Nederland tussen vroege prehistorie en middeleeuwen. Ph.D. dissertation, University of Wagening: 641 pp.Google Scholar
van Beek, R., 2011. Diversity rules. On Late Prehistoric settlement of the Eastern Netherlands and the need for regionally specific models. Proceedings of the Prehistoric Society 77: 2547.CrossRefGoogle Scholar
van Beek, R. & Groenewoudt, B., 2013. An Odyssey along the River Vecht in the Dutch-German border area. A Regional Analysis of Roman-period Sites in Germania Magna. Germania 89: 157190.Google Scholar
van Beek, R. & Louwen, A., 2013. The centrality of urnfields. Second thoughts on structure and stability of Late Bronze Age and Early Iron Age cultural landscapes in the Low Countries. In: Fontijn, D., Louwen, A.J., van der Vaart, S. & Wentink, K. (eds): Beyond Barrows. Current research on the structuration and perception of the Prehistoric Landscape through Monuments. Sidestone Press (Leiden): 81112.Google Scholar
van Beek, R., Groenewoudt, B.J. & Keunen, L.J., 2014. Establishing the dates of farm sites (A.D. 800–present) in Salland (the Netherlands): an interdisciplinary approach. Journal of Field Archaeology 39: 5166.CrossRefGoogle Scholar
van der Hammen, T. & Bakker, J.A., 1971. Former vegetation, landscape and man in the Dinkel valley. In: van der Hammen, T. & Wijmstra, T.A. (eds): The upper Quaternary of the Dinkel valley. Mededelingen Rijks Geologische Dienst, Nieuwe Serie 22. Rijks Geologische Dienst (Haarlem): 147158.Google Scholar
van der Hammen, T. & Wijmstra, T.A. (eds), 1971. The upper Quaternary of the Dinkel valley (Twente, Eastern Overijssel, The Netherlands). Mededelingen Rijks Geologische Dienst, Nieuwe Serie 22 (Haarlem): 159 pp.Google Scholar
van der Molen, P.C. & Hoekstra, S.P., 1988. A paleoecological study of a hummuck-hollow complex from Engbertsdijksveen, in the Netherlands. Review of Palaeobotany and Palynology 56: 213274.CrossRefGoogle Scholar
van der Velde, H.M., 2011. Wonen in een grensgebied. Een langetermijngeschiedenis van het Oost-Nederlandse cultuurlandschap (500 v. Chr.–1300 na Chr.). Nederlandse Archeologische Rapporten 40. Ph.D. dissertation, Vrije University Amsterdam: 307 pp.Google Scholar
van der Waals, J.D., 1972. Die durchlochten Rössener Keile und das frühe Neolithicum in Belgien und in den Niederlanden. Fundamenta A 3: 153184.Google Scholar
van Geel, B., 1978. A Paleoecological study of Holocene peat bog sections in Germany and the Netherlands, based on the analysis of pollen, spores and macro- and microscopic remains of fungi, algae, cormophytes and animals. Review of Palaeobotany and Palynology 25: 1120.CrossRefGoogle Scholar
van Geel, B., Bohncke, S.J.P. & Dee, H., 1981. A paleoecological study from an Upper Late Glacial and Holocene sequence from ‘The Borchert’ The Netherlands. Review of Palaeobotany and Palynology 31: 347448.Google Scholar
van Geel, B., Coope, G. R. & van der Hammen, T., 1989. Paleoecology and stratigraphy of the Lateglacial type section at Usselo (the Netherlands). Review of Palaeobotany and Palynology 60: 25129.CrossRefGoogle Scholar
Vergne, V., Munaut, A.V., Ducrocq, T., Bostyn, F. & Miras, Y., 2004. Apport de la palynology à la connaissance des premières traces d’antropisation en France septrionale et en Belgique. In: Richard, H. (ed.): Néolithisation précoce. Premières traces d’antropisation du couvert végétal à partir des données polliniques. Presses universitaires de Franche-comté (Besançon): 2945.Google Scholar
Verhart, L.B.M., 2000. Times fade away. The neolithisation in the southern Netherlands in an anthropological and geographical perspective. Archaeological Studies Leiden University 6. Ph. D. dissertation, University of Leiden: 257 pp.Google Scholar
Verlinde, A.D., 1973. Two Barrows from the Middle Bronze Age at Gammelke, Municipality of Weerselo, Province of Overijssel. Berichten van de Rijksdienst voor het Oudheidkundig Bodemonderzoek 23: 109122.Google Scholar
Verlinde, A.D., 1987. Die Gräber und Grabfunde der späten Bronzezeit und frühen Eisenzeit in Overijssel. Ph. D. dissertation, University of Leiden: 179 pp.Google Scholar
Werkgroep Historische Kaart van Twente (ed.), 1991. Historische kaart van Twente ca. 1500. Vereniging Oudheidkamer Twente (Enschede): 54 pp.Google Scholar

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