Changes in metal biogeochemistry resulting from wetland creation: bioavailability, toxicity and risk "WETMAT": final report

In the vicinity of rivers, flooding of available lowlands can be considered as a possibility for temporal storage of river water during high water regimes to minimize the flooding danger of inhabited areas. The creation of wetlands for controlled flooding may also contribute to an increased ecological and biological value of the ecosystem area. Due to industrial activities, river water, sediments and soils are often contaminated with metals. The aim of this study was to determine the changes in the metal biogeochemistry under different hydrological conditions and in the presence of reed plants and how this affects the uptake of metals by plants and invertebrates. Two experimental setups were used. Lab scale experiments consisted of 42 barrels filled up with three different soils and flooded with water of different salinities. For the field scale experiment, 4 tanks filled with two soil types were placed on a platform in the river Scheldt and flooded daily by river water. Results showed that the metal mobility did not depend on the total metal content. Other factors such as soil pH, CEC, redox status and carbonate, OM and clay contents however play an important role in mediating metal behaviour. To prevent the mobilization of the metals, it is advisable to reduce redox variations in the soil. The two-year period of the experiment was too short to detect any measurable changes in most of the soil properties. The measured metal (im)mobilization kinetics can however already be incorporated in models in the near future. These models should allow to predict metal mobility changes at the oxic-anoxic interface upon changing hydrological conditions, where the already existing geochemical models fail due to the fact that they are based on steady state conditions. In the two-year experimental period, large quantities of metal contaminated sediment were found to be deposited on the soils of the tanks which were placed in the river Scheldt. This sedimentation could pose a problem, as it minimizes the water storage capacity of a flood control area. Moreover, the contamination status of alluvial soils should be used as a criterion when selecting new flood control areas as uncontaminated flood control areas are expected to be contaminated when polluted sediments originating from the surrounding surface waters are being deposited or when the soil is contacted with metal-polluted surface water. The latter can be expected in the future, as upon increasing oxygen contents of the river waters due to decreasing organic matter loads, metals can be mobilised from metal-polluted river sediments. Reduction of metal mobility upon increasing oxygen contents of river waters therefore needs further investigation. The metal accumulation in benthic organisms like T. tubifex was found to strongly depend on the inundation period. A higher Zn and Cu accumulation was recorded when substrates were allowed to oxidise. For the talitrid amphipod O. gammarellus, no clear influence was noted. Photosynthetic performance of the reed plants seemed to be mainly determined by other factors than merely metal contamination levels. There was however a possible relation between the abundance of stress enzymes and the metal contamination, making it a more valuable parameter to assess the effect of metals on reed plants in wetlands. The reed itself did not have any measurable effect on the concentration of the metals in the soil or pore water. Also no differences in the concentrations of metals in the reed biomass or differences in the reed growth were observed between the contaminated and uncontaminated soil

Irrigation offsets wheat yield reductions from warming temperatures

Citation: Tack, J., Barkley, A., & Hendricks, N. (2017). Irrigation offsets wheat yield reductions from warming temperatures. Environmental Research Letters, 12(11), 114027. https://doi.org/10.1088/1748-9326/aa8d27Temperature increases due to climate change are expected to cause substantial reductions in global wheat yields. However, uncertainty remains regarding the potential role for irrigation as an adaptation strategy to offset heat impacts. Here we utilize over 7000 observations spanning eleven Kansas field-trial locations, 180 varieties, and 29 years to show that irrigation significantly reduces the negative impact of warming temperatures on winter wheat yields. Dryland wheat yields are estimated to decrease about eight percent for every one-degree Celsius increase in temperature, yet irrigation completely offsets this negative impact in our sample. As in previous studies, we find that important interactions exist between heat stress and precipitation for dryland production. Here, uniquely, we observe both dryland and irrigated trials side-by-side at the same locations and find that precipitation does not provide the same reduction in heat stress as irrigation. This is likely to be because the timing, intensity, and volume of water applications influence wheat yields, so the ability to irrigate—rather than relying on rainfall alone—has a stronger influence on heat stress. We find evidence of extensive differences of water-deficit stress impacts across varieties. This provides some evidence of the potential for adapting to hotter and drier climate conditions using optimal variety selection. Overall, our results highlight the critical role of water management for future global food security. Water scarcity not only reduces crop yields through water-deficit stress, but also amplifies the negative effects of warming temperatures

A geometric constraint over k-dimensional objects and shapes subject to business rules

This report presents a global constraint that enforces rules written in a language based on arithmetic and first-order logic to hold among a set of objects. In a first step, the rules are rewritten to Quantifier-Free Presburger Arithmetic (QFPA) formulas. Secondly, such formulas are compiled to generators of k-dimensional forbidden sets. Such generators are a generalization of the indexicals of cc(FD). Finally, the forbidden sets generated by such indexicals are aggregated by a sweep-based algorithm and used for filtering. The business rules allow to express a great variety of packing and placement constraints, while admitting efficient and effective filtering of the domain variables of the k-dimensional object, without the need to use spatial data structures. The constraint was used to directly encode the packing knowledge of a major car manufacturer and tested on a set of real packing problems under these rules, as well as on a packing-unpacking problem

Heterogeneous effects of warming and drought on selected wheat variety yields

Climate change is likely to significantly impact agricultural production in the Great Plains region of the Central United States. This study estimated the impact of changes in temperature and precipitation on wheat (triticum aestivum) variety yield distributions using the moment-based maximum entropy (MBME) model. This approach allows for quantification of potential weather impacts on the yield distribution, and allows these effects to vary across varieties. The unique data set matches wheat variety trial data for 1985 to 2011 with weather data from the exact trial site for 11 locations throughout Kansas. Ten widely-planted varieties with a range of biotic and abiotic characteristics were included for comparison. Weather scenarios were simulated for baseline, increased temperature (one-degree Celsius warming), decreased precipitation (tenth-percentile rainfall outcome), and a combination warming and drought scenario. Warming resulted in an 11 % yield reduction, drought a 22 % reduction, and warming and drought a cumulative 33 % reduction. These effects vary across varieties. Alternative measures of yield risk (e.g. yield variance and coefficient of variation) were also constructed under each scenario and a similar pattern of heterogeneous impacts emerges. The key findings are that (i) exposure to warming and drought lead to mean yield reductions coupled with increased yield risk for all varieties, and (ii) newer (post 2005) seed varieties have a yield advantage over older varieties, however this advantage is reduced under warming and drought conditions

Decreased wheat production in the USA from climate change driven by yield losses rather than crop abandonment

An increase in global average surface temperature over the 21st century will affect food production. There is still uncertainty if the source of the production losses caused by climate change could be driven either by lower yield or reduced area harvested. We use county-level production data on winter wheat coupled with fine-scale weather outcomes between 1981-2007 to examine the impact of climate change on winter wheat production in Kansas. We decompose the total impact of weather variables through both the yield and harvested acreage channels. We find that an insignificant portion—both in terms of magnitude and statistical significance—of the production losses are due to reduced harvested acres (i.e., crop abandonment). The proportion harvested only account for 14.88% and 21.71% of the total damages under RCPs 4.5 and 8.5 and neither effect is statistically significant. An implication of this result implies that studies that only examine climate impacts on harvested yields are not significantly underestimating the climate change impacts on production