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There is a growing interest in the rescue and reuse of data from past studies (so‐called legacy data). Data loss is alarming, especially where natural archives are under threat, such as peat deposits. Here we develop a workflow for reuse of legacy radiocarbon dates in peatland studies, including a rigorous quality assessment that can be tailored to specific research questions and study regions. A penalty is assigned to each date based on criteria that consider taphonomic quality (i.e., sample provenance) and dating quality (i.e., sample material and method used). The weights of quality criteria may be adjusted based on the research focus, and resulting confidence levels may be used in further analyses to ensure robustness of conclusions. We apply the proposed approach to a case study of a (former) peat landscape in the Netherlands, aiming to reconstruct the timing of peat initiation spatially. Our search yielded 313 radiocarbon dates from the 1950s to 2019. Based on the quality assessment, the dates—of highly diverse quality—were assigned to four confidence levels. Results indicate that peat initiation for the study area first peaked in the Late Glacial (~14,000 cal years BP), dropped during the Boreal (~9,500 cal years BP) and showed a second peak in the Subboreal (~4,500 cal years BP). We tentatively conclude that the earliest peak was mostly driven by climate (Bølling–Allerød interstadial), whereas the second was probably the result of Holocene sea level rise and related groundwater level rise in combination with climatic conditions (hypsithermal). Our study highlights the potential of legacy data for palaeogeographic reconstructions, as it is cost‐efficient and provides access to information no longer available in the field. However, data retrieval may be challenging, and reuse of data requires that basic information on location, elevation, stratigraphy, sample and laboratory analysis are documented irrespective of the original research aims. [ABSTRACT FROM AUTHOR]

Agricultural intensification has caused a decline of semi-natural grasslands and loss of botanical diversity, making agricultural fields dominated by Lolium perenne the main grassland system in large areas of Europe. Increased insight into the factors determining their vegetation composition and plant species richness is needed to improve the effectiveness of agri-environment schemes and to substantiate the benefits of organic over conventional agriculture. Our aims were (1) to determine the difference in vegetation composition (including species richness) between Lolium perenne -dominated fields of conventional and organic farms in a case study region in The Netherlands, and (2) to identify the soil and management related drivers behind this difference. We collected vegetation, soil and management data in grasslands of dairy farms under conventional or organic management (45 fields in total), and used multivariate statistics to determine the effect of fertilisation rates, grazing and cutting regime, and soil properties on plant species composition. In a next step we determined to what extent these abiotic drivers differ between organic and conventional farms. On average the organic fields appeared to have a c. 30% higher plant species richness compared to the conventional ones. Vegetation composition was most strongly influenced by groundwater level and nitrogen and phosphorus fertilisation rates, and to a lesser extent by plant-available soil potassium, mowing date, total soil nitrogen, potassium fertilisation rate, age of each field, and livestock (cow or sheep). In general, a low fertilisation rate, high groundwater level, late mowing, low level of plant-available potassium, high level of total soil nitrogen, old fields and the presence of sheep promote a high species richness. However, of these variables only nitrogen fertilisation rate and groundwater level differ significantly between the organic and conventional farms and are therefore likely to be the abiotic drivers of the difference in species richness and vegetation composition between the farm types. Of these two, the difference in nitrogen fertilisation rate is a direct result of a difference in management philosophy, but the difference in groundwater level is not. We hypothesize that the latter difference is caused by economic drivers, whereby a less productive soil is an incentive for a changeover to organic farming. If this is the case indeed, the application of agri-environment schemes would be most effective in less productive (and naturally more species-rich) sites. [ABSTRACT FROM AUTHOR]

Attributing the start of peat growth to an absolute timescale requires dating the bottom of peat deposits overlying mineral sediment, often called the basal peat. Peat initiation is reflected in the stratigraphy as a gradual transition from mineral sediment to increasingly organic material, up to where it is called peat. So far, varying criteria have been used to define basal peat, resulting in divergent approaches to date peat initiation. The lack of a universally applicable and quantitative definition, combined with multiple concerns that have been raised previously regarding the radiocarbon dating of peat, may result in apparent ages that are either too old or too young for the timing of peat initiation. Here, we aim to formulate updated recommendations for dating peat initiation. We provide a conceptual framework that supports the use of the organic matter (OM) gradient for a quantitative and reproducible definition of the mineral-to-peat transition (i.e., the stratigraphical range reflecting the timespan of the peat initiation process) and the layer defined as basal peat (i.e., the stratigraphical layer that is defined as the bottom of a peat deposit). Selection of dating samples is often challenging due to poor preservation of plant macrofossils in basal peat, and the representativity of humic and humin dates for the age of basal peat is uncertain. We therefore analyse the mineral-to-peat transition based on three highly detailed sequences of radiocarbon dates, including dates of plant macrofossils and the humic and humin fractions obtained from bulk samples. Our case study peatland in the Netherlands currently harbours a bog vegetation, but biostratigraphical analyses show that during peat initiation the vegetation was mesotrophic. Results show that plant macrofossils provide the most accurate age in the mineral-to-peat transition and are therefore recommendable to use for 14C dating basal peat. If these are unattainable, the humic fraction provides the best alternative and is interpreted as a terminus-ante-quem for peat initiation. The potential large age difference between dates of plant macrofossils and humic or humin dates (up to ∼1700 years between macrofossil and humic ages, and with even larger differences for humins) suggests that studies reusing existing bulk dates of basal peat should take great care in data interpretation. The potentially long timespan of the peat initiation process (with medians of ∼1000, ∼1300 and ∼1500 years within our case study peatland) demonstrates that choices regarding sampling size and resolution need to be well substantiated. We summarise our findings as a set of recommendations for dating basal peats, and advocate the widespread use of OM determination to obtain a low-cost, quantitative and reproducible definition of basal peat that eases intercomparison of studies. • We present three detailed radiocarbon sequences of the mineral-to-peat transition. • Basal peat needs to be clearly defined based on a quantitative reproducible parameter. • Peat initiation is a process of a certain timespan rather than an event. • Plant macrofossil dates are most accurate, humic/humin dates are likely too young. • A conceptual framework and recommendations for dating peat initiation are presented. [ABSTRACT FROM AUTHOR]