|Grid spacing of the sediment layer in TOXSWA : Proof of concept of method for determining optimal grid spacing
Beltman, W.H.J. ; Wipfler, E.L. ; O'Connor, Niamh - \ 2020
Wageningen : Wettelijke Onderzoekstaken Natuur & Milieu (WOt-interne notitie 296)
Greenhouse data experiment drip irrigation 2016
Os, Erik van; Wipfler, Louise ; Beltman, Wim ; Boesten, Jos ; Hoogsteen, Martine ; Linden, Anton van der; Staaij, Marieke van der; Swinkels, Gert-Jan - \ 2020
Wageningen University & Research
Experiment - Greenhouse horticulture - Imidacloprid - Model validation - Plant protection products - Pymetrozine - Sweet pepper
The 'Greenhouse data experiment drip irrigation 2016' file contains data gathered during the experiment as described in Wipfler et al. (2020), Testing of the Greenhouse Emission Model for application of plant protection products via drip irrigation. WENR report 3004. Climate parameters were collected from the Lets Grow database, these parameters include water supply, drain water flow, external rainwater intake, radiation outside (W/m2), realized temperature and relative humidity in greenhouse compartment.
Are we restoring functional fens? – The outcomes of restoration projects in fens re-analysed with plant functional traits
Klimkowska, Agata ; Goldstein, Klara ; Wyszomirski, Tomasz ; Kozub, Łukasz ; Wilk, Mateusz ; Aggenbach, Camiel ; Bakker, Jan P. ; Belting, Heinrich ; Beltman, Boudewijn ; Blüml, Volker ; Vries, Yzaak De; Geiger-udod, Beate ; Grootjans, Ab P. ; Hedberg, Petter ; Jager, Henk J. ; Kerkhof, Dick ; Kollmann, Johannes ; Pawlikowski, Paweł ; Pleyl, Elisabeth ; Reinink, Warner ; Rydin, Hakan ; Schrautzer, Joachim ; Sliva, Jan ; Stańko, Robert ; Sundberg, Sebastian ; Timmermann, Tiemo ; Wołejko, Lesław ; Burg, Rob F. Van Der; Hoek, Dick Van Der; Diggelen, Jose M.H. Van; Heerden, Adrie Van; Tweel, Loekie Van; Vegelin, Kees ; Kotowski, Wiktor ; Guo, Xiao - \ 2019
PLoS ONE 14 (2019)4. - ISSN 1932-6203
In peatland restoration we often lack an information whether re-established ecosystems are functionally similar to non-degraded ones. We re-analysed the long-term outcomes of restoration on vegetation and plant functional traits in 38 European fens restored by rewetting (18 sites) and topsoil removal (20 sites). We used traits related to nutrient acquisition strategies, competitiveness, seed traits, and used single- and multi-trait metrics. A separate set of vegetation records from near-natural fens with diverse plant communities was used to generate reference values to aid the comparisons. We found that both restoration methods enhanced the similarity of species composition to non-degraded systems but trait analysis revealed differences between the two approaches. Traits linked to nutrient acquisition strategies indicated that topsoil removal was more effective than rewetting. After topsoil removal competitive species in plant communities had decreased, while stress-tolerant species had increased. A substantial reduction in nutrient availability ruled out the effect of initial disturbance. An ability to survive and grow in anoxic conditions was enhanced after restoration, but the reference values were not achieved. Rewetting was more effective than topsoil removal in restricting variation in traits values permitted in re-developing vegetation. We found no indication of a shift towards reference in seed traits, which suggested that dispersal constraint and colonization deficit can be a widespread phenomena. Two functional diversity indices: functional richness and functional dispersion showed response to restoration and shifted values towards reference mires and away from the degraded systems.
We concluded that targeting only one type of environmental stressor does not lead to a recovery of fens, as it provides insufficient level of stress to restore a functional ecosystem. In general, restoration efforts do not ensure the re-establishment and long-term persistence of fens. Restoration efforts result in recovery of fen ecosystems, confirmed with our functional trait analysis, although more rigid actions are needed for restoring fully functional mires, by achieving high and constant levels of anoxia and nutrient stresses.
|Do the repaired FOCUS surface water scenarios result in robust exposure concentrations for the aquatic and sediment risk assessment ?
Adriaanse, Pauline ; Stemmer, Michael ; Beltman, Wim - \ 2019
In Suciu, N.A. & Moreno, B.M.M. (eds), p 59
Nieuwe en opkomende stoffen in de bodem en ondergrond
Lahr, Joost ; Beltman, Wim - \ 2019
Kennis en instrumenten van WENR
|Modelinstrumentarium toelating Gewasbeschermingsmiddelen -TOXSWA model version 3.3. : Tussenrapportage WOT-04-008-024
Horst, M.M.S. ter; Beltman, W.H.J. ; Adriaanse, P.I. ; Berg, F. van den - \ 2019
Lapinus filtert meer dan 50 procent
Beltman, W.H.J. - \ 2019
|TOXSWA model simulations for concentrations in FOCUS surface water scenarios having a single segment water layer : Explorative study
Adriaanse, P.I. ; Beltman, W.H.J. - \ 2019
WOT Natuur & Milieu (WOt-interne notitie 251) - 36 p.
Factors associated with early introduction of complementary feeding and consumption of non-recommended foods among Dutch infants : The BeeBOFT study
Wang, Lu ; Grieken, Amy Van; Velde, Laura A. Van Der; Vlasblom, Eline ; Beltman, Maaike ; Hoir, Monique P. L'; Boere-Boonekamp, Magda M. ; Raat, Hein - \ 2019
BMC Public Health 19 (2019)1. - ISSN 1471-2458
Introduction of complementary feeding - Risk factors - Snack foods - Sweet beverage
Background: Timing and types of complementary feeding in infancy affect nutritional status and health later in life. The present study aimed to investigate the factors associated with early introduction of complementary feeding (i.e., before age 4 months), and factors associated with infants consumption of non-recommended foods, including sweet beverages and snack foods. Methods: This study used cross-sectional data from the BeeBOFT study (n = 2157). Data on complementary feeding practices and potential determinants were obtained by questionnaire at infant's age of 6 months. Logistic regression models were used to investigate factors associated with early introduction of complementary feeding and infants' consumption of non-recommended foods. Results: 21.4% of infants had received complementary feeding before 4 months of age. At the age of 6 months, 20.2% of all infants were consuming sweet beverages daily and 16.5% were consuming snack foods daily. Younger maternal age, lower maternal educational level, absence or shorter duration of breastfeeding, parental conviction that "my child always wants to eat when he/she sees someone eating" and not attending day-care were independently associated with both early introduction of complementary feeding and the consumption of non-recommended foods. Higher maternal pre-pregnancy BMI and infant postnatal weight gain were associated only with early introduction of complementary feeding. Conclusions: We identified several demographical, biological, behavioral, psychosocial, and social factors associated with inappropriate complementary feeding practices. These findings are relevant for designing intervention programs aimed at educating parents. Trial registration: The trail is registered at Netherlands Trial Register, trail registration number: NTR1831. Retrospectively registered on May 29, 2009.
Sleep and body mass index in infancy and early childhood (6-36 mo): a longitudinal study
Wang, Lu ; Jansen, Wilma ; Boere-Boonekamp, Magda M. ; Vlasblom, Eline ; Hoir, Monique P. L'; Beltman, Maaike ; Grieken, Amy van; Raat, Hein - \ 2019
Pediatric Obesity 14 (2019)6. - ISSN 2047-6302
bidirectional association - child BMI - longitudinal study - sleep duration
Background: Relatively, few longitudinal studies have evaluated the association between sleep and body mass index (BMI) among younger children. In addition, few studies have evaluated the bidirectional longitudinal association between sleep duration and child BMI. Objective: The objective of the study is to determine in children aged 6 to 36 months (1) the cross-sectional association of sleep duration and sleep problems with child BMI z score, (2) whether sleep duration predicts changes in child BMI z score, and (3) and whether BMI z score can predict changes in child sleep duration. Methods: This study used longitudinal data from the BeeBOFT study (N = 2308). Child sleep duration and sleep problems (indicated by night awakenings and sleep-onset latency) were parent reported, and child BMI was measured using a standardized protocol by trained healthcare professionals at approximately 6, 14, and 36 months of age. Linear mixed models and linear regression models were applied to assess the cross-sectional and bidirectional longitudinal associations between sleep and BMI z scores. Results: Cross sectionally, shorter sleep duration was associated with higher BMI z scores at 14 (β = −0.034, P < 0.05) and 36 months (β = −0.045, P < 0.05). Sleep duration at 6 or 14 months did not predict BMI z score at either 14 or 36 months. Higher BMI z scores at 6 months predicted shorter sleep duration (hours) at 14 months (β = −0.129, P < 0.001). No association was found between sleep problems and child BMI z scores. Conclusions: Cross-sectional associations between shorter sleep duration and higher BMI z score emerged in early childhood (age 14 and 36 mo). Higher BMI z scores may precede shorter sleep duration but not vice versa.
External scientific report: Data collection for the estimation of ecological data (specific focal species, time spent in treated areas collecting food, composition of diet), residue level and residue decline on food items to be used in the risk assessment for birds and mammals
Lahr, J. ; Kramer, Wolfgang ; Mazerolles, Vanessa ; Poulsen, Veronique ; Jölli, Daniela ; Müller, Marc ; McVey, Emily ; Wassenberg, J. ; Derkx, M.P.M. ; Brouwer, J.H.D. ; Deneer, J.W. ; Beltman, W.H.J. ; Lammertsma, D.R. ; Jansman, H.A.H. ; Buij, R. - \ 2018
EFSA (EFSA Supporting Publications 5)
The study described in this report was conducted with the aim of developing an unified database of ecological data and residue data to be used for the risk assessment of plant protection products for birds and mammals. The main sources of data were the information submitted in the context of approval of active substances and authorization of products and and additional information retrieved through a systematic literature review. The data were screened and organised in three Excel databases, one for birds, one for mammals and one for residue studies. The ecological information for birds and mammal risk assessment consisted of data that is used for the determination of focal species, estimation of the proportion of an animal's daily diet obtained in a treated habitat (PT) and assessment of the composition of the diet obtained from a treated area (PD). The information gathered on residues focussed on (initial) residue levels after treatment and on residue decline (the reported half‐life or DT50 and the DT90)
|Modelinstrumentarium toelating Gewasbeschermingsmiddelen (TOXSWA) (2018). Tussenrapportage WOT-04-008-024.
Horst, M.M.S. ter; Beltman, W.H.J. ; Adriaanse, P.I. ; Berg, F. van den - \ 2018
WOT Natuur & Milieu (WOt-interne notitie 232)
Manual for FOCUS_TOXSWA v5.5.3 and for expert use of TOXSWA kernel v3.3 : user’s guide version 5
Beltman, W.H.J. ; Horst, M.M.S. ter; Adriaanse, P.I. ; Jong, A. de - \ 2018
Wageningen : Statutory Research Tasks Unit for Nature & the Environment (WOt-technical report 126) - 148
The FOCUS_TOXSWA model calculates exposure concentrations of pesticides and their metabolites in watercourses and ponds, of the so-called FOCUS surface water scenarios. These concentrations are used in the pesticide registration procedure at EU level. The model concepts of TOXSWA are described briefly. The procedure for using the TOXSWA kernel (i.e. expert use) and related input files and output files are described. Concerning FOCUS_TOXSWA, the use of the graphical user interface to access the input and output is described. Input data are stored in a database. Pesticide entries resulting from drainage or runoff/erosion are accessed from separate files generated by FOCUS_MACRO and FOCUS_PRZM. Substance properties are accessed from the SPIN tool/database. Instructions for simulating a water-sediment study and a multi-year run are given.
Does the TOXSWA model simulate reliable concentrations in FOCUS surface water scenarios for a single segment water layer?
Adriaanse, P.I. ; Beltman, W.H.J. - \ 2018
In: SETAC Europe 28th Annual Meeting 13−17 May 2018, Rome, Italy. - SETAC (Society of Environmental Toxicology and Chemistry Europe (SETAC Europe) ) - p. 170 - 170.
Including multistress in risk assessment of pesticides. Current state of knowledge, based on a literature review and evaluation of tank mixture applications in a spraying schedule for strawberries
Vliet, P. van; Arts, G.H.P. ; Beltman, W.H.J. ; Holterman, H.J. ; Wipfler, E.L. ; Zande, J.C. van de - \ 2018
In: SETAC Europe 28th Annual Meeting 13−17 May 2018, Rome, Italy. - SETAC (Society of Environmental Toxicology and Chemistry Europe (SETAC Europe) ) - p. 480 - 480.
multistress, pesticides, environmental risk, aquatic
Comparison of pesticide concentrations at drinking water abstraction points in The Netherlands simulated by DROPLET version 1.2 and 1.3.2 model suites
Adriaanse, P.I. ; Beltman, W.H.J. - \ 2017
Wageningen : Wageningen University & Research, Statutory Research Tasks Unit for Nature & the Environment (WOt-technical report 100) - 52
The user-friendly software tool DROPLET (acronym for DRinkwater uit OPpervlaktewater-Landbouwkundig gebruik Evaluatie Tool) assists the Dutch Board for the Authorization of Plant Protection Products and Biocides (Ctgb) in evaluating whether pesticides may exceed the 0.1 μg/L standard in one of the Dutch surface water abstraction points for drinking water production. Based upon Good Agricultural Practice DROPLET uses the peak concentration in the FOCUS D3 ditch (with spray drift deposition according to Dutch numbers) as starting point for the final, expected concentration at the abstraction points
situated in the larger waterbodies downstream. This report compares concentrations in the abstraction points calculated by the old model suite (FOCUS-SWASH 3.1, FOCUS-MACRO 4.4.2, FOCUS-TOXSWA 3.3.1 and DROPLET 1.2) with those calculated by the more recently released model suite (FOCUS-SWASH 5.3, including the substance database SPIN 3.3, FOCUS-MACRO 5.5.4, FOCUS-TOXSWA 4.4.3 and DROPLET 1.3.2). The concentrations in the drinking water abstraction points calculated by the new model suite may be up to a factor of approximately 2.5 higher than the ones calculated by the old model suite. This is practically entirely due to the increased pesticide mass in the drainage fluxes calculated by the new version of the MACRO model. The calculations by the TOXSWA and DROPLET models have not been changed. Because no
measured water and mass fluxes for drainage are available for the D3 scenario, it is not possible to indicate whether the fluxes calculated by MACRO 4.4.2 or those by MACRO 5.5.4 reflect better reality. Thus no recommendation can be made on the model suite to be used in the Dutch exposure assessment for drinking water production from surface waters.
|Probleemanalyse numerieke oplossing TOXSWA
Beltman, W.H.J. ; Adriaanse, P.I. ; Wipfler, E.L. - \ 2017
Wageningen : Wettelijke Onderzoekstaken Natuur & Milieu (WOt-interne notitie 179)
|Modelinstrumentarium Toelating Gewasbeschermingsmiddelen en Biociden (TOXSWA) : Tussenrapportage WOT-04-008-024
Horst, M.M.S. ter; Beltman, W.H.J. ; Adriaanse, P.I. ; Berg, F. van den - \ 2017
Wageningen : Wettelijke Onderzoekstaken Natuur & Milieu (WOt-interne notitie 187)
Hydrolysis and biotic transformation in water in the pesticide model : Implementation report
Horst, M.M.S. ter; Beltman, W.H.J. ; Adriaanse, P.I. ; Mulder, H.M. - \ 2017
Wageningen : Wageningen Environmental Research (Wageningen Environmental Research rapport 2848) - 55
The TOXSWA model has been extended with the functionality to simulate hydrolysis and biotic transformation in water. TOXSWA simulates the fate of pesticides in water bodies to calculate exposure calculations for aquatic organisms or sediment-dwelling organisms as part of the aquatic risk assessment of pesticides. Hydrolysis and biotic transformation are modelled as first-order processes, occuring in the water phase only. The hydrolysis transformation rates are considered to be dependent on both pH and temperature. The biotic transformation rate is considered to be temperature-dependent only.
Personalized web-based advice in combination with well-child visits to prevent overweight in young children : Cluster randomized controlled trial
Grieken, Amy van; Vlasblom, Eline ; Wang, Lu ; Beltman, Maaike ; Boere-Boonekamp, Magda M. ; Hoir, Monique P. L'; Raat, Hein - \ 2017
Journal of Medical Internet Research 19 (2017)7. - ISSN 1438-8871
Body mass index - Child health - Child, preschool - EHealth - Healthy lifestyle - Intervention study - Parenting - Randomized controlled trial
Background: Overweight is a major health issue, and parent-targeted interventions to promote healthy development in children are needed. Objective: The study aimed to evaluate E-health4Uth Healthy Toddler, an intervention that educates parents of children aged 18 to 24 months regarding health-related behaviors, as compared with usual care. The effect of this intervention on the following primary outcomes was evaluated when the children were 36 months of age: Health-related behaviors (breakfast daily, activity and outside play, sweetened beverage consumption, television (TV) viewing and computer time), body mass index (BMI), and the prevalence of overweight and obesity. Methods: The BeeBOFT (acronym for breastfeeding, breakfast daily, outside playing, few sweet drinks, less TV viewing) study is a cluster randomized controlled trial involving 51 Youth Health Care (YHC) teams. In total, 1094 parents participated in the control group, and 1008 parents participated in the E-health4Uth Healthy Toddler intervention group. The intervention consisted of Web-based personalized advice given to parents who completed an eHealth module and discussion of the advice during a regular well-child visit. In this study the eHealth module was offered to parents before two regular well-child visits at 18 and 24 months of age. During the well-child visits, the parents' personalized advice was combined with face-to-face counseling provided by the YHC professional. Parents in the control group received usual care, consisting of the regular well-child visits during which general information on child health-related behavior was provided to parents. Parents completed questionnaires regarding family characteristics and health-related behaviors when the child was 1 month (inclusion), 6 months, 14 months, and 36 months (follow-up) of age. The child's height and weight were measured by trained health care professionals from birth through 36 months of age at fixed time points. Multilevel linear and logistic regression models were used to evaluate the primary outcomes at 36 months of age. Results: At 36 months, we observed no differences between health-related behaviors of children, BMI or the percentage of children having overweight or obesity in the control and intervention group (P>.05). An analysis of the intervention effect revealed that boys benefited from eating breakfast daily, non-Dutch children spent more time being active or playing outdoors, children of low-educated parents and of overweight and obese mothers spent less time watching TV or using the computer, and children of normal weight mothers drank less sweetened beverages (P<.05) compared with the control group. Conclusions: The E-health4Uth Healthy Toddler intervention resulted in small improvements in health-related behaviors among subgroups but had no significant effects with respect to the children's BMI. We conclude that the E-health4Uth Healthy Toddler intervention may be useful for pediatric health care professionals in terms of providing parents with personalized information regarding their child's health-related behaviors.