High Tunnel Coverings Alter Crop Productivity and Microclimate of Tomato and Lettuce

The implementation of high tunnels has shown to increase marketability and/or yield of tomato (Solanum lycopersicum) and lettuce (Lactuca sativa) crops compared with open-field systems. These structures provide the opportunity to alter light intensity and spectral quality by using specific polyethylene (poly) films and/or shadecloth, which may affect microclimate and subsequent crop productivity. However, little is known about how specific high tunnel coverings affect these parameters. The overall goal of this study was to evaluate the impact of various high tunnel coverings on the microclimate and crop productivity of tomato and lettuce. The coverings included standard, ultraviolet (UV)-stabilized poly film (standard); diffuse poly (diffuse); full-spectrum clear poly (clear); UV-A/B blocking poly (block); standard + 55% shadecloth (shade); and removal of standard poly 2 weeks before initial harvest to simulate a movable tunnel (movable). Microclimate parameters that were observed included canopy and soil temperatures, canopy growing degree-days (GDD), and photosynthetic active radiation (PAR), and crop productivity included yield and net photosynthetic rate. Hybrid red ‘BHN 589’ tomatoes were grown during the summer, and red ‘New Red Fire’ and green ‘Two Star’ leaf lettuce were grown in both spring and fall in 2017 and 2018. Increased temperature, GDD, and PAR were observed during the spring and summer compared with the fall. The soil temperatures during the summer increased more under the clear covering compared with the others. For tomato, the shade produced lower total fruit yield and net photosynthetic rate (Pn) compared with the other treatments, which were similar (P < 0.001 and <0.001, respectively). The greatest yield was 7.39 kg/plant, which was produced under the clear covering. For red leaf lettuce grown in the spring, the plants under the clear, standard, and diffuse coverings had significantly greater yield than the movable and shade coverings (P < 0.001). The coverings had less effect on the yield during the fall lettuce trials, which may have been attributed to the decrease in PAR and environmental temperatures. The findings of this study suggest that high tunnel coverings affect both microclimate and yield of lettuce and tomato.

Analysing Historical and Modelling Future Soil Temperature at Kuujjuaq, Quebec (Canada): Implications on Aviation Infrastructure

The impact of climate change on soil temperatures at Kuujjuaq, Quebec in northern Canada is assessed. First, long-term historical soil temperature records (1967–1995) are statistically analyzed to provide a climatological baseline for soils at 5 to 150 cm depths. Next, the nature of the relationship between atmospheric variables and soil temperature are determined using a statistical downscaling model (SDSM) and National Centers for Environmental Prediction (NCEP), a climatological data set. SDSM was found to replicate historic soil temperatures well and used to project soil temperatures for the remainder of the century using climate model output Canadian Second Generation Earth System Model (CanESM2). Three Representative Concentration Pathway scenarios (RCP 2.6, 4.5 and 8.5) were used from the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5). This study found that the soil temperature at this location may warm at 0.9 to 1.2 °C per decade at various depths. Annual soil temperatures at all depths are projected to rise to above 0 °C for the 1997–2026 period for all climate scenarios. The melting soil poses a hazard to the airport infrastructure and will require adaptation measures.

Technical note: High-accuracy weighing micro-lysimeter system for long-term measurements of non-rainfall water inputs to grasslands

Non-rainfall water (NRW), defined here as dew, hoar frost, fog, rime, and water vapour adsorption, might be a relevant water source for ecosystems, especially during summer drought periods. These water inputs are often not considered in ecohydrological studies, because water amounts of NRW events are rather small and therefore difficult to measure. Here we present a novel micro-lysimeter (ML) system and its application which allows us to quantify very small water inputs from NRW during rain-free periods with an unprecedented high accuracy of ±0.25 g, which corresponds to ±0.005 mm water input. This is possible with an improved ML design paired with individual ML calibrations in combination with high-frequency measurements at 3.3 Hz and an efficient low-pass filtering to reduce noise level. With a set of ancillary sensors, the ML system furthermore allows differentiation between different types of NRW inputs, i.e. dew, hoar frost, fog, rime, and the combinations among these, but also additional events when condensation on leaves is less probable, such as water vapour adsorption events. In addition, our ML system design allows one to minimize deviations from natural conditions in terms of canopy and soil temperatures, plant growth, and soil moisture. This is found to be a crucial aspect for obtaining realistic NRW measurements in short-statured grasslands. Soil temperatures were higher in the ML compared to the control, and thus further studies should focus on improving the thermal soil regime of ML. Our ML system has proven to be useful for high-accuracy, long-term measurements of NRW on short-statured vegetation-like grasslands. Measurements with the ML system at a field site in Switzerland showed that NRW input occurred frequently, with 127 events over 12 months with a total NRW input of 15.9 mm. Drainage-water flow of the ML was not measured, and therefore the NRW inputs might be conservative estimates. High average monthly NRW inputs were measured during summer months, suggesting a high ecohydrological relevance of NRW inputs for temperate grasslands.

Contrasting protist communities (Cercozoa: Rhizaria) in pristine and earthworm-invaded North American deciduous forests

Earthworms are considered ecosystem engineers due to their fundamental impact on soil structure, soil processes and on other soil biota. An invasion of non-native earthworm species has altered soils of North America since European settlement, a process currently expanding into still earthworm-free forest ecosystems due to continuous spread and increasing soil temperatures owing to climate change. Although earthworms are known to modify soil microbial diversity and activity, it is as yet unclear how eukaryote consumers in soil microbial food webs will be affected. Here, we investigated how earthworm invasion affects the diversity of Cercozoa, one of the most dominant protist taxa in soils. Although the composition of the native cercozoan community clearly shifted in response to earthworm invasion, the communities of the different forests showed distinct responses. We identified 39 operational taxonomic units (OTUs) exclusively indicating earthworm invasion, hinting at an earthworm-associated community of Cercozoa. In particular, Woronina pythii, a hyper-parasite of plant-parasitic Oomycota in American forests, increased strongly in the presence of invasive earthworms, indicating an influence of invasive earthworms on oomycete communities and potentially on forest health, which requires further research.

First report of Macrophomina phaseolina causing charcoal root rot of Hebe (Veronica cupressoides, V. ochracea, and V. pinguifolia) in Oregon, U.S.A.

Hebes (Veronica spp. in the section Hebe) are ornamental perennials and shrubs grown for their flowers and symmetric, evergreen leaves. They are uncommon in U.S. horticulture and are only produced by a few nurseries regionally (Oregon and Washington). In June, July, and August (2016 to 2021), stems on 1 to 5-year-old Veronica cupressoides, V. ochracea, and V. pinguifolia in five landscape plantings around Benton County, OR (17 plants total, locations 2 to 37 km apart) began to wilt, turn brown, and die. At least nine of the plants originated from a single nursery. Initially, just one or two stems/plant were affected, but eventually the entire plant died. Stem tissues were discolored brown to black internally and the roots were dry and necrotic. Leaves turned brown and brittle, but remained attached. Stems from each plant were disinfested in 0.5% NaOCl (1 min), rinsed in 70% ethanol, and dried (2 min). Pieces (5 mm2) were then plated onto 1/2 strength potato dextrose agar amended with streptomycin (50 mg/liter) and incubated in the dark at 20°C. Three to five days later, greyish-white cultures producing black microsclerotia (75 × 110 µm, n = 50) grew out of all samples. No spores were produced. All isolates were identified as Macrophomina phaseolina by morphology and by ≥99% homology (566-570/571 nt) to the internal transcribed spacer sequence (primers ITS1 and ITS4) from the type specimen (GenBank KF766195) (Hyde et al. 2014). Three representative sequences were deposited in GenBank (MZ726450 to MZ726452). Inoculum was prepared from these isolates by growing cultures in 250 ml of potato dextrose broth on a shaker (125 rpm at 25°C). After 2 weeks, the broth was decanted and the fungal biomass was air dried for 3 days at 25°C before grinding into a powder with a mortar and pestle. Three plants each of 6-month-old V. ochracea 'James Stirling', V. cupressoides 'McKean', and V. pinguifolia 'Sutherlandii' were inoculated with each isolate by rinsing the soil off of the roots with tap water, trimming off 0.5 cm of the roots, and then soaking the rootball in a slurry of 1 g dried inoculum in 500 ml of 0.2% water agar (WA) for 10 minutes (Reyes Gaige et al. 2010). Three plants of each species that were soaked in plain 0.2% WA served as negative controls. Afterwards, plants were potted into soilless media (Metro-Mix 840, Sun Gro Horticulture, Agawam, MA) in 3.5 inch square pots and arranged in a completely randomized design in a greenhouse set at 28/24°C day/night. The experiment was conducted three times. One to three months later, inoculated plants began to turn yellow, wilt, and die whereas all control plants remained healthy. The same pathogen was reisolated from 90% of the inoculated plants, but never from negative controls. M. phaseolina was reported on strawberry in southern Oregon in 2014 (Pscheidt and Ocamb 2021), but has not been reported from locations further north in the state where soil temperatures are cooler. It is unusual that M. phaseolina was isolated from an uncommon host at five different locations in an area of the state where the pathogen was not known to occur. Based on this, and on the number of infected plants originating from a single source, it seems likely that M. phaseolina was accidentally spread on contaminated plants produced by the nursery industry, where the warmer temperatures in production greenhouses would provide a more conducive environment for the pathogen's growth and spread. Growers should keep watch for symptoms of this pathogen in their nurseries.

A simple model to estimate air temperature and soil temperatures under vertisol

Hnscd on a truncated s ine curve and exp onential fu nction models. diu rnal cha nges in airand soil temperat ures have I:....'en estima ted during day and night hours respect!....el..·. Each model uses o nlv fo urparameters. viz.. maximum a nd mini mum temperature at va rious levels. the lime ()f sunset and durat ion t;f da ylnight length. The models. when a pplied to experimental as well as independent dat a sets, were fo und to givereasonably accu rate estimates for a n>' lime of the day an d night except between I·B O1ST and sunset at the gro undsurface.

Analysis of soil temperature at various depths by Fourier technique

Harmonic analysis of weekly means of soil temperatures at 5,.15 and 30 cm; depths have been done for seven stations of .India. The corresponding amplitudes and phase angles In respect of different harmonics are presented- The warmest soil near the soil surface (5 cm depth) occurs during the period 16th to 19th week. While the highest maximum occurs during the period 20th to 26th week (30 cm depth).

Estimation of soil temperature by Harmonic analysis

Soil temperatures recorded at 5.10 and 20 cm depth at Anand station of Gujarat state for the period of 1982-93 were analyzed by harmonic analysis and tested it for the year 1998. The amplitude of the soil temperature wave for the various depths decreases from a maximum of 5.76° C in the first harmonic to 0.96°C in the third harmonic. First, second and third harmonic explained 55 to 76 percent, 18 to 37 percent and 2 to 4 percent of the total variance, respectively. Total percentage of total variance covered by the three harmonics at different depths are in the range of 95 to 97 percentage for the period of 1982-93 normalized data series which shows the applicability of harmonic analysis in describing soil temperatures. The weekly observed and computed soil temperatures by harmonic analysis were in agreement and their differences were non significant by Chi-Square test.

An Open-Source, Durable, and Low-Cost Alternative to Commercially Available Soil Temperature Data Loggers

Soil temperatures play an important role in determining the distribution and function of organisms. However, soil temperature is decoupled from air temperature and varies widely in space. Characterizing and predicting soil temperature requires large and expensive networks of data loggers. We developed an open-source soil temperature data logger and created online resources to ensure our design was accessible. We tested data loggers constructed by students, with little prior electronics experience, in the lab, and in the field in Alaska. The do-it-yourself (DIY) data logger was comparably accurate to a commercial system with a mean absolute error of 2% from −20–0 °C and 1% from 0–20 °C. They captured accurate soil temperature data and performed reliably in the field with less than 10% failing in the first year of deployment. The DIY loggers were ~1.7–7 times less expensive than commercial systems. This work has the potential to increase the spatial resolution of soil temperature monitoring and serve as a powerful educational tool. The DIY soil temperature data logger will reduce data collection costs and improve our understanding of species distributions and ecological processes. It also provides an educational resource to enhance STEM, accessibility, inclusivity, and engagement.