Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Plant communities on nitrogen-rich soil are less sensitive to soil moisture than plant communities on nitrogen-poor soil
Shovon, Tanvir Ahmed ; Rozendaal, Danaë M.A. ; Gagnon, Daniel ; Gendron, Fidji ; Vetter, Mary ; Vanderwel, Mark C. - \ 2019
Journal of Ecology (2019). - ISSN 0022-0477
community assembly - environmental filtering - light - multiple resource limitation - nitrogen - plant strategies - soil moisture - trait-based ecology

Plant species composition and diversity are known to change across local gradients of light, moisture and nutrients, but ecologists still have a relatively limited understanding of how communities respond to multiple limiting resources. We used a trait-based approach to investigate how the functional composition and diversity of forest understorey plant communities change along gradients in light, soil moisture and nitrogen availability. We used a total of seven leaf, root and whole-plant traits for 55–78 species, and estimated the effects of the three resources on the mean and dispersion of these traits in understorey plant communities across 50 forest sites. Soil moisture and nitrogen availability (C/N ratio) both influenced plant community traits, but light availability (canopy openness) did not. Generally, increases in moisture and nitrogen both resulted in shifts towards more acquisitive resource use strategies, including greater leaf area, specific leaf area and maximum plant height, and lower leaf dry matter content, root dry matter content and rooting depth. Functional diversity of most traits also increased with increasing soil moisture and nitrogen. Although most traits varied with soil moisture on nitrogen-poor sites, moisture did not influence of the distribution of any traits on nitrogen-rich sites. Synthesis. Independent co-limitation of soil moisture and nitrogen appeared to influence the functional composition and diversity of understorey vegetation in our study area. The co-occurrence of species with resource acquisitive and conservative strategies on nitrogen-rich sites may make plant communities relatively resistant to changes to soil moisture. These results suggest that altered precipitation regimes under climate change could lead to greater changes in the composition and diversity of plant communities on nutrient-poor soils than on nutrient-rich soils.

Cone index and surface soil moisture measurements in selected agricultural fields within the Raam and Twente soil moisture monitoring networks
Carranza, C.D. - \ 2019
agriculture - cone index - soil moisture - trafficability
This dataset covers cone index and surface soil moisture measurements over selected agricultural fields, which are also the sites of a few stations within the Raam and Twente soil moisture monitoring networks. A penetrologger (Eijkelkamp) with 1 cm diameter and 60 degree angle was used to collect cone index over the topsoil (upper 20 cm layer) and a TDR (TRIME-IMKO) was used to collect surface soil moisture (upper 5 cm layer). The data set covers 2016 and 2017 growing seasons.
Changes in surface hydrology, soil moisture and gross primary production in the Amazon during the 2015/2016 El Niño
Schaik, Erik van; Killaars, Lars ; Smith, Naomi E. ; Koren, Gerbrand ; Beek, L.P.H. van; Peters, Wouter ; Laan-Luijkx, Ingrid T. van der - \ 2018
Philosophical Transactions of the Royal Society B. Biological sciences 373 (2018)1760. - ISSN 0962-8436 - 9 p.
Amazon - El Niño - gross primary productivity - river discharge - soil moisture - tropical terrestrial carbon cycle

The 2015/2016 El Niño event caused severe changes in precipitation across the tropics. This impacted surface hydrology, such as river run-off and soil moisture availability, thereby triggering reductions in gross primary production (GPP). Many biosphere models lack the detailed hydrological component required to accurately quantify anomalies in surface hydrology and GPP during droughts in tropical regions. Here, we take the novel approach of coupling the biosphere model SiBCASA with the advanced hydrological model PCR-GLOBWB to attempt such a quantification across the Amazon basin during the drought in 2015/2016. We calculate 30-40% reduced river discharge in the Amazon starting in October 2015, lagging behind the precipitation anomaly by approximately one month and in good agreement with river gauge observations. Soil moisture shows distinctly asymmetrical spatial anomalies with large reductions across the north-eastern part of the basin, which persisted into the following dry season. This added to drought stress in vegetation, already present owing to vapour pressure deficits at the leaf, resulting in a loss of GPP of 0.95 (0.69 to 1.20) PgC between October 2015 and March 2016 compared with the 2007-2014 average. Only 11% (10-12%) of the reduction in GPP was found in the (wetter) north-western part of the basin, whereas the north-eastern and southern regions were affected more strongly, with 56% (54-56%) and 33% (31-33%) of the total, respectively. Uncertainty on this anomaly mostly reflects the unknown rooting depths of vegetation.This article is part of a discussion meeting issue 'The impact of the 2015/2016 El Niño on the terrestrial tropical carbon cycle: patterns, mechanisms and implications'.

Regional soil moisture monitoring network in the Raam catchment in the Netherlands - 2016-04 / 2017-04 (corrected)
Benninga, H.F. ; Carranza, C.D. ; Pezij, M. ; Ploeg, M.J. van der; Augustijn, D.C.M. ; Velde, R. van der - \ 2018
agriculture - hydrology - soil moisture - soil temperature - unsaturated zone - water management
Regional soil moisture monitoring network in the Raam catchment in the Netherlands - 2016-04 / 2017-04
Benninga, H.F. ; Carranza, C.D. ; Pezij, M. ; Ploeg, M.J. van der; Augustijn, D.C.M. ; Velde, R. van der - \ 2017
agriculture - hydrology - soil moisture - soil temperature - unsaturated zone - water management
The Raam soil moisture measurement network dataset contains soil moisture and soil temperature measurements for 15 locations in the Raam, which is a 223-km2 river catchment in the southeast of the Netherlands. The network monitors soil moisture in the unsaturated zone for different soil textures and land covers present in the area, and it covers the topographic gradient of the region. At each location we installed Decagon 5TM sensors at depths of 5 cm, 10 cm, 20 cm, 40 cm and 80 cm. The logging time interval is set on 15 minutes. The Raam network is operational since April 2016 and the measurements are on-going.
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