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Community level physiological profiling and pyrosequencing-based analysis of the V1-V2 16S rRNA gene region were used to characterize and compare microbial community structure, diversity, and bacterial phylogeny from soils of chemically cultivated land (CCL), organically cultivated land (OCL), and fallow grass land (FGL) for 16 years and were under three different land use types. The entire dataset comprised of 16,608 good-quality sequences (CCL, 6,379; OCL, 4,835; FGL, 5,394); among them 12,606 sequences could be classified in 15 known phylum. The most abundant phylum were Proteobacteria (29.8%), Acidobacteria (22.6%), Actinobacteria (11.1%), and Bacteroidetes (4.7%), while 24.3% of the sequences were from bacterial domain but could not be further classified to any known phylum. Proteobacteria, Bacteroidetes, and Gemmatimonadetes were found to be significantly abundant in OCL soil. On the contrary, Actinobacteria ana Acidobacteria were significantly abundant in CCL and FGL, respectively. Our findings supported the view that organic compost amendment (OCL) activates diverse group of microorganisms as compared with conventionally used synthetic chemical fertilizers. Functional diversity and evenness based on carbon source utilization pattern was significantly higher in OCL as compared to CCL and FGL, suggesting an improvement in soil quality. This abundance of microbes possibly leads to the enhanced level of soil organic carbon, soil organic nitrogen, and microbial biomass in OCL and FGL soils as collated with CCL. This work increases our current understanding on the effect of long-term organic and chemical amendment applications on abundance, diversity, and composition of bacterial community inhabiting the soil for the prospects of agricultural yield and quantity of soil.

Pollinators play a key role within most terrestrial communities in maintaining plant populations, as well as pollinating many agricultural crops for seed and fruit production. The mobility of pollinating animals is significant to their importance but we know little about how landscape structure influences pollinator movements. Linear landscape features such as hedgerows and embankments are conspicuous features of agricultural landscape structure and are important artificial habitats in their own right. However, there has been some debate as to the function of these landscape elements as corridors between larger expanses of semi-natural habitat separated by urban and agricultural habitats. Few studies have specifically studied insect flight responses to linear landscape elements. By observing bumblebee flight behaviour along hedgerows and, by creating a medium-scale experimental array of flower patches using an artificial linear feature, we examined whether such structures can elicit an oriented flight response along them and therefore facilitate insect movement through the landscape. We found that both hedgerows and artificial linear landscape features can influence the flight directions of bumblebees (Bombus spp. Hymenoptera, Apidae), one of Europe's most important groups of pollinators. A bioassay experiment in which Salvia pratensis (Lamiaceae) was planted into landscape patches with differing numbers of connecting hedgerows showed that this directional response can have a profound effect on plant reproductive success -plants had increased pollinator activity, pollen receipt and subsequent seed set in patches with more connections. The overall hedgerow connectedness of a landscape is therefore important both to bumblebee movement and to those plants which depend on bumblebees for pollination services.

To quantify the extent of antibiotic contamination and to identity the dominant pollutant sources in the Tiaoxi River Watershed, surface water samples were collected at eight locations and analyzed for four tetracyclines and three sulfonamides using ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS). The observed maximum concentrations of tetracycline (623 ng L −1 ), oxytetracycline (19,810 ng L −1 ), and sulfamethoxazole (112 ng L −1 ) exceeded their corresponding Predicted No Effect Concentration (PNEC) values. In particular, high concentrations of antibiotics were observed in wet summer with heavy rainfall. The maximum concentrations of antibiotics appeared in the vicinity of intensive aquaculture areas. High-resolution land use data were used for identifying diffuse source of antibiotic pollution in the watershed. Significant correlations between tetracycline and developed ( r  = 0.93), tetracycline and barren ( r  = 0.87), oxytetracycline and barren ( r  = 0.82), and sulfadiazine and agricultural facilities ( r  = 0.71) were observed. In addition, the density of aquaculture significantly correlated with doxycycline ( r  = 0.74) and oxytetracycline ( r  = 0.76), while the density of livestock significantly correlated with sulfadiazine ( r  = 0.71). Principle Component Analysis (PCA) indicated that doxycycline, tetracycline, oxytetracycline, and sulfamethoxazole were from aquaculture and domestic sources, whereas sulfadiazine and sulfamethazine were from livestock wastewater. Flood or drainage from aquaculture ponds was identified as a major source of antibiotics in the Tiaoxi watershed. A hot-spot map was created based on results of land use analysis and multi-variable statistics, which provided an effective management tool of sources identification in watersheds with multiple diffuse sources of antibiotic pollution.

The effects of soil organic management on indigenous microorganisms were studied by comparing mulching straw (S), conifer compost (CC), and conifer bark (CB) as well as grass landing with grass (G), clover (Cl), and fescue (F) in a silty–clay soil (Mâcon), and by incorporating vine shoot (VS) and single and double doses of farmyard manure (FM) and mushroom manure (MM) in a calcareous sandy soil (Chinon). Soil physicochemical and microbial characteristics were assessed at each site at two depths by sampling at 0–5 and 5–20 cm for the Mâcon site and 0–10 and 10–20 cm for the Chinon site. Changes in the quantity of soil organic matter (SOM), through an increase in Corg and Norg contents, and in its quality, through modifications in the C/N and humic acid/fulvic acid ratios, were essentially recorded at the surface layer of treated plots with differential magnitudes according to the inputs and soil type. Quantitative modifications in microbial communities were assessed by means of C-biomass measurements and resulted in an increase in microbial densities fitted with the increase of Corg and Norg contents. However, the deduced C incorporation in microbial biomass was negatively correlated with the C/N ratio, demonstrating a strong influence of the type of organic management on the rate of microbial processes. Qualitative modifications in microbial communities were evaluated by the characterization of the genetic structure of bacterial and fungal communities from DNA directly extracted from the soil, using bacterial and fungal automated ribosomal intergenic spacer analysis. Organic amendments led to changes in the bacterial and fungal communities of both sites. However, the magnitude and the specificity of these changes were different between sites, organic amendments, and microorganisms targeted, revealing that the impact of organic management is dependent on the soil and organic input types as well as on the particular ecology of microorganisms. A co-inertia analysis was performed to specify the role of the quantity and quality of SOM on the modifications of the genetic structure. A significant costructure was only observed for Mâcon plots at 0–5 cm between the bacterial genetic structure and the SOM characteristics, demonstrating the influence of the relative amount of the different humic substances (humic and fulvic acids) on microbial composition.

This study examines the impacts of animal agricultural facilities on the value of residential housing. Through a quantile regression framework we are able to show that the estimated price impacts are not uniform across the distribution of housing prices, and a statistically significant relationship exists only for houses at or above median price levels. These estimated price impacts also increase as the percentile increases. For comparison, the model also includes the proximity to three other waste facility types: industrial, solid, and septic. Our dataset features 14,785 single-family residential transactions in Tippecanoe County, Indiana, over the period 1993–2006.

High tunnels are a special type of greenhouse with primary operational goals of season extension, crop quality improvement, and new crop production opportunities to reach unique markets. From an engineering viewpoint, high tunnels have many of the same design concerns as larger, more complex greenhouses. They capitalize on the greenhouse effect as do all enclosed plant growth structures. However, less automated environmental control systems are required for the desired crop production. Tunnel designs are less complex and less expensive than large high-technology greenhouse ranges, but they must be designed and constructed with the fundamental assurance of structural stability, safety, efficient layout, appropriate environmental control, and effective crop management in mind.

A theoretical model for farm succession is developed in which identity-related variables such as preferences for working autonomously or with animals influence occupational choice at the outset of the process, while environmental factors such as farm size and income prospects gain in importance during the latter stages of succession. A survey of 14-to-34-year-old potential farm successors in Switzerland is carried out to test the model. While female respondents focus on identity-related factors when making occupational choices, the model can be verified for several influencing variables for male successors, such as continuing the family tradition and the potential conversion of farmland to building land. For both men and women, the prospect of working alongside their parents is an important factor in the decision to take over the family farm.

Habitat selection may reflect the location of the home ranges or the allocation of shelter and foraging sites within a given habitat. We studied seasonal patterns of habitat use by Akodon azarae and Calomys laucha at two spatial scales: between maize fields and their weedy edges (macrohabitats), and associations of rodents captures with vegetation variables at the trap site level (microhabitats). We evaluated if the different habitat uses were related to disturbances generated by practices associated to maize cycle. A. azarae used mainly field edges, but it showed an increased use of maize fields when the crop reached maturity in summer. Contrarily, C. laucha used maize fields in a higher proportion than edges in all seasons. C. laucha was more influenced by microhabitat characteristics than A. azarae. C. laucha was present in sites with abundant dicot weeds when maize was growing up, while it was associated to sites with weeds with scarce cover in stubble maize fields. Before harvesting, both species were segregated at the microscale within maize fields. A. azarae was related to sites with high availability of green plant cover and C. laucha occupied low-quality sites, probably attributed to differences in their diets. We conclude that the pattern of habitat use by both species is best predicted at the macrohabitat scale, and when they are impoverished and present internal heterogeneity, there is selection at microhabitat scale of those better sites. While A. azarae responds to changes in vegetation cover and habitat structure associated to agricultural practices, C. laucha uses cropfields in an opportunistic way, affected by interspecific competition.

For the efficient management of water resources in the target basin, this study proposed a method to improve the reliability of a long-term hydrological simulation model by applying to the model agricultural water more approximate to actual water uses (than planned water demands) through their adjustment based on the effects of small-scale hydraulic structures. To verify agricultural water uses estimated using the proposed method, they were applied to a basin management model. And then, simulated runoff at main station points was compared with measured runoff. As a result, there occurred errors with large differences from measured data, mainly, at station points where their dependency on river water was high. To verify simulated return rate, return rate for a test zone was estimated, and then compared with the simulated return rate. Correlations between annual rainfall and runoff errors were analyzed. As a result, it was found that those errors were enlarged in dry years. Long-term runoff simulation analysis showed that simulated runoff came to be negative when a farming season began. This could be significantly improved using water uses adjusted to consider the effects of small-scale hydraulic structures. Also, correlation analysis quantitatively confirmed that simulated runoff after adjustment was more correlated with measured runoff than before adjustment. Finally, fitness tests for runoff simulations before and after adjustment were carried out through a residual analysis to analyze residual normality and independence. As a result, the fitness of runoff simulation after adjustment was significantly improved.

Despite North Carolina’s long history with feral swine, populations were low or absent in eastern counties until the 1990s. Feral swine populations have since grown in these counties which also contain a high density of commercial production swine (CPS) facilities. Sixteen of the highest swine producing U.S. counties also populated with feral swine are in North Carolina. Disconcertingly, since 2009, positive tests for exposure to swine brucellosis or pseudorabies virus have been found for feral swine. We surveyed 120 CSP facilities across four eastern counties to document the level and perception of feral swine activity around CSP facilities and to identify disease transmission potential to commercial stock. Nearly all facility operators (97%) recognized feral swine were in their counties. Far fewer said they had feral swine activity nearby (18%). Our inspections found higher presence than perceived with feral swine sign at 19% of facilities where operators said they had never observed feral swine or their sign. Nearly 90% expressed concern about feral to domestic disease transmission, yet only two facilities had grain bins or feeders fenced against wildlife access. Due to increasing feral swine populations, recent evidence of disease in feral populations, the importance of swine production to North Carolina’s economy and the national pork industry, and potential for feral-domestic contact, we believe feral swine pose an increasing disease transmission threat warranting a stringent look at biosecurity and feral swine management at North Carolina CPS facilities.