Intensive Agricultural Regions Research Articles

The source material of soft spring wheat for improving the quality of grain and resistance to lodging

The Northern Trans-Urals is a region of intensive agriculture that needs high-yielding varieties that are resistant to lodging and a-biotic environmental factors, forming high-quality grain. In this respect, as a starting material for breeding, Canadian varieties with good technological indicators of grain and Norwegian varieties with high resistance to lodging and well-expressed economic and valuable characteristics are of interest. An important indicator when creating wheat varieties is the resistance to pre-harvest germination of grain on the root. The conjugacy of this feature with the yield is high and is expressed negatively - r = -0.922. Among the studied cultivars, Demonstrant (Norway) and 5603HR (Canada) stand out for their resistance to grain germination in the ear. Norwegian varieties are characterized by multi-grain ear, fine grain and compacted ear. Marker traits of drought resistance – the length of the upper internode and the removal of the ear, are better expressed in the standard of Omskaya 36, varieties of local selection and varietals - Laban and GN 06600 (Norway). In arid conditions, these varieties have a more pronounced yield. The best in this respect is Kazakhstan one - Astana (2.27 t/ha). The intensity was highlighted by the variety - GN 06600 (Norway) - 5.05 t/ha. The revealed conjugate relationships in the studied traits allow to purposefully conduct breeding work.

Sparrow Preferences for Winter Cover Crops in California's Central Coast

Agriculture in many regions of the world has reduced bird habitat and abundance, and altered avian community structure. A study was conducted on an organic research farm over two winters (Oct to Mar) in an intensive agricultural region of Salinas Valley, CA to determine how cover crop variety and planting density influenced birds. Cover crops were rye (Secale cereale), a mixture of rye and legumes (Vicia spp., Pisum sativum), and a mustard mixture (Brassica juncea, Sinapis alba). White-crowned Sparrows (Zonotrichia leucophyrs), Savannah Sparrows (Passerculus sandwichensis) and Song Sparrows (Melospiza melodia) were observed both years in the study field. Bird droppings in cover crops were quantified and dissected to determine dietary preferences, and sparrow movement when flushed was determined. Dropping number and weight per m2 were at least 10 times greater in mustard than in rye and in the legume-rye mixture. Droppings were dominated by leaf tissue in mustard versus arthropod tissue in rye and legume-rye. Within cover crop variety, plant density did not have a clear or consistent effect on sparrows. Sparrows flushed from cover crops usually settled in mustard. The White-crowned Sparrow fed on mustard leaves and apparently on weed foliage under mustard. The arthropod-dominated droppings in rye and legume-rye cover crops were consistent with the food preferences of Song and Savannah Sparrows. The White-crowned Sparrow’s clear preference for mustard cover crops is likely due in part to their high dietary needs for sulfur-rich amino acids during the prenuptual molt. This paper provides novel information to help farmers and others understand the cover crop preferences of sparrows, and ways that farmers might use mustard cover crops as trap crops to reduce White-crowned Sparrow feeding damage on winter and spring vegetable crops. It also provides evidence of ecosystems services that these sparrows provide by feeding on weed tissue in winter cover crops.

A phenology-based method for identifying the planting fraction of winter wheat using moderate-resolution satellite data

ABSTRACT Winter wheat is a staple food crop for most of the world’s population, and the area and spatial distribution of winter wheat are key elements in estimating crop production and ensuring food security. However, winter wheat planting areas contain substantial spatial heterogeneity with mixed pixels for coarse- and moderate-resolution satellite data, leading to large errors in crop acreage estimation. This study has developed a phenology-based approach using moderate-resolution (1 km per pixel) satellite data to estimate sub-pixel planting fractions of winter wheat. Based on unmanned aerial vehicle (UAV) observations, the unique characteristics of winter wheat with high vegetation index values at the heading stage (May) and low values at the ripening stage (June) were investigated. The differences in vegetation index between heading and ripening stages increased with the planting fraction of winter wheat, and therefore the planting fractions were estimated by comparing the NDVI differences of a given pixel with those of predetermined pure winter wheat and non-winter wheat pixels. This approach was evaluated using aerial images and agricultural statistical data in an intensive agricultural region, Shandong Province in North China. The method explained 85% and 60% of the spatial variation in municipal- and county-level statistical data, respectively. More importantly, the predetermined pure winter wheat and non-winter wheat pixels can be automatically identified using MODIS data according to their NDVI differences, which strengthens the potential to use this method at regional and global scales without any field observations as references.

Identifying Ecosystem Function Shifts in Africa Using Breakpoint Analysis of Long-Term NDVI and RUE Data

Time-series of vegetation greenness data, derived from Earth-observation imagery, have become a key source of information for studying large-scale environmental change. The ever increasing length of such series allows for a range of indicators to be derived and for increasingly complex analyses to be applied. This study presents an analysis of trends in vegetation productivity—measured using the Global Inventory Monitoring and Modelling System third generation (GIMMS3g) Normalised Difference Vegetation Index (NDVI) data—for African savannahs, over the 1982–2015 period. Two annual metrics were derived from the 34 year dataset: the monthly, smoothed NDVI (the aggregated growth season NDVI) and the associated Rain Use Efficiency (growth season NDVI divided by annual rainfall). These indicators were then used in a BFAST-based change-point analysis, allowing the direction of change over time to change and the detection of one major break in the time-series. We also analysed the role of land cover type and climate zone as associations of the observed changes. Both methods agree that vegetation greening was pervasive across African savannahs, although RUE displayed less significant changes than NDVI. Monotonically increasing trends were the most common trend type for both indicators. The continental scale of the greening may suggest global processes as key drivers, such as carbon fertilization. That NDVI trends were more dynamic than RUE suggests that a large component of vegetation trends is driven by precipitation variability. Areas of negative trends were conspicuous by their minimalism. However, some patterns were apparent. In the southern Sahel and West Africa, declining NDVI and RUE overlapped with intensive population and agricultural regions. Dynamic trend reversals, in RUE and NDVI, located in Angola, Zambia and Tanzania, coincide with areas where a long-term trend of forest degradation and agricultural expansion has recently given way to increases in woody biomass. Meanwhile in southern Africa, monotonic increases in RUE with varying NDVI trend types may be indicative of shrub encroachment. However, all these processes are small-scale relative to the GIMMS NDVI data, and reconciling these conflicting drivers is not a trivial task. Our study highlights the importance of considering multiple options when undertaking trend analyses, as different inputs and methods can reveal divergent patterns.

Increase in farm size significantly accelerated stream channel erosion and associated nutrient losses from an intensive agricultural watershed

Increase in farm size (IFS) can reduce fertilizer use but it may accelerate soil erosion, particularly stream channel (SC) erosion and associated nutrient losses, due to reduced farmland heterogeneity. But these positive and negative environmental impacts of IFS have never been compared. The objectives of this study were to determine the SC erosion and associated nutrient losses following IFS, and clarify their influencing factors. The study was conducted in Nala watershed in southern subtropics of China. Six SCs were surveyed in just completed period (April 2018) and after one year of IFS (April 2019). The SC erosion significantly (P < 0.05) increased in entire watershed from 12.0 Mg ha−1 to 43.9 Mg ha −1, with a 301 % increase after IFS than before IFS. Accelerated SC erosion by IFS resulted in significant increase of total N loss from 9.91 kg ha−1 to 36.6 kg ha−1, with a 269.3 % increase. Similarly, total P loss significantly increased from 3.84 kg ha−1 to 14.2 kg ha−1, with a 269.8 % increase. Total N and P losses due to accelerated SC erosion amounted to 119 % N and 40 % P of fertilizer reduction following IFS. Field density, grass root density and ridges with perpendicular direction to SCs significantly correlated (P < 0.05) with SC erosion. Our study highlights the significant nutrient losses by accelerated SC erosion that should not be overlooked in IFS scheme in intensive agricultural regions.

The oviposition behavior of fall armyworm moths is unlikely to compromise the refuge strategy in genetically modified Bt crops

Non-random oviposition preference by target pest species on Bt and non-Bt refuge plants may increase the proportion of the population under selection pressure, reducing the value of the refuge strategy for resistance management. Here, we tested the oviposition preference for Bt over non-Bt plants and the damage-avoiding oviposition behavior of moths of the fall armyworm (FAW), Spodoptera frugiperda, a worldwide pest species with three reported cases of field-evolved resistance to Bt maize. In the greenhouse, choice assays indicated no oviposition preference for Cry1F Bt maize over its non-Bt isoline whatever intact or injured by FAW larvae. In a field experiment in a region of intensive agriculture in Brazil, the number of egg masses and FAW larvae was recorded on seven Bt maize varieties and two non-Bt maize varieties during vegetative and reproductive growth stages. There was only a weak oviposition preference by FAW moths for less damaged plants in the V10 stage. When using Cry1A.105 + Cry2Ab Bt maize and 50% refuge in a field experiment in another region in Southeastern Brazil, the number of egg masses on Bt and non-Bt plants also indicated no oviposition preference by the moths. Consistently, these results indicate that FAW moths do not distinguish Bt and non-Bt plants for oviposition and that conspecific larval damage has minor interference in the oviposition choice. Therefore, there seems to be random egg-laying preference of FAW moths in Bt maize fields, an oviposition behavior typical of generalist moth species and unlikely to be associated with the rapid selection of Bt-toxin-resistant FAWs.

Top-Down Constraints on Methane Point Source Emissions From Animal Agriculture and Waste Based on New Airborne Measurements in the U.S. Upper Midwest.

Agriculture and waste are thought to account for half or more of the U.S. anthropogenic methane source. However, current bottom-up inventories contain inherent uncertainties from extrapolating limited in situ measurements to larger scales. Here, we employ new airborne methane measurements over the U.S. Corn Belt and Upper Midwest, among the most intensive agricultural regions in the world, to quantify emissions from an array of key agriculture and waste point sources. Nine of the largest concentrated animal feeding operations in the region and two sugar processing plants were measured, with multiple revisits during summer (August 2017), winter (January 2018), and spring (May-June 2018). We compare the top-down fluxes with state-of-science bottom-up estimates informed by U.S. Environmental Protection Agency methodology and site-level animal population and management practices. Top-down point source emissions are consistent with bottom-up estimates for beef concentrated animal feeding operations but moderately lower for dairies (by 37% on average) and significantly lower for sugar plants (by 80% on average). Swine facility results are more variable. The assumed bottom-up seasonality for manure methane emissions is not apparent in the aircraft measurements, which may be due to on-site management factors that are difficult to capture accurately in national-scale inventories. If not properly accounted for, such seasonal disparities could lead to source misattribution in top-down assessments of methane fluxes.

Variability and determinants of soil organic matter under different land uses and soil types in eastern China

Assessing the spatial and temporal variability of soil organic matter (SOM) and identifying determinants of its stability are crucial to measure carbon (C) sequestration and emissions and to understand the evolution of soil functionality. In this study, a spatially dense dataset (5207 topsoil samples (0−20 cm) based on a 1 × 1 km grid) was used to produce SOM maps using geostatistical interpolation by kriging methods and to identify the determinants of SOM distribution in an intensive agricultural region of eastern China. The SOM contents were relatively low and ranged from 10 to 20 g kg−1 for 96.6 % of the total study area, indicating low-fertility soil conditions in the study area. Compared with historical soil data, the SOM content differed among different counties, and increased in most parts of Changfeng and Feidong County from 1981 to 2003. The SOM content was significantly impacted by altitude, aspect, pH, soil texture, as well as soil type and land use, but not by slope gradient, topographic wetness index (TWI) or normalized difference vegetation index (NDVI). The increased application of chemical fertilizer and organic manure in paddy and vegetable-based systems likely contributed to SOM accrual during the 22-year period. Agricultural land uses of paddy rice (Oryza sativa) and vegetable production are conductive to soil C sequestration in agricultural soils in eastern China.

Environmental, ecological and health risks of trace elements, and their sources in soils of Harran Plain, Turkey.

Soil pollution with trace elements (TEs) has become an increasingly serious environmental concern, however, assessment of ecological and human health risks especially in intensive agricultural regions remains limited. In this study, the contents of ten TEs (Al, As, Pb, Cr, Cu, Zn, Ni, Co, Mn and Fe) in soil samples from 204 sampling sites in the Harran Plain (Turkey) were examined to evaluate possible sources, pollution status and environmental, ecological and health risks of these elements. Only As and Ni exceeded the upper continental crust concentrations. Among ten TEs, Ni and As had the highest mean values of enrichment factor (EF) and contamination factor (Cf), indicating that soils showed moderate enrichment and moderate contamination with these elements. Ecological risk factor and ecological risk index values of all samples were <40 and<150, respectively, indicating low ecological risk in the study area. Factor analysis and correlation analysis indicated that Al, Pb, Cr, Cu, Zn, Co, Mn and Fe mainly originated from natural sources, Ni from mixed sources of anthropogenic and lithogenic origins, while arsenic primarily originated from anthropogenic activities. The hazard quotient values for both adults and children did not exceed 1, suggesting that all TEs in soil through ingestion, dermal contact and inhalation pathways had no significant non-carcinogenic risks. Children were more susceptible to non-carcinogenic health effects of TEs in soils. The carcinogenic risk values of As, Co, Cr and Ni were within the acceptable risk range, indicating that carcinogenic risks were not expected.

Evolving Food Safety Pressures in California's Central Coast Region

California’s Central Coast rose to national food safety prominence following a deadly 2006 outbreak of Escherichia coli O157:H7 that was traced to spinach grown in this intensive agricultural region. Since then, private food safety protocols and subsequent public regulations targeting farm-level practices have developed extensively, aiming to avert future foodborne illness crises. However, amidst sweeping reforms in prescribed best practices for food safety, growers were pressured to take precautionary approaches to control pathogenic contamination—suppressing wildlife near fields, removing habitat, restricting biological soil amendments (e.g., compost, manure), and most recently, chemically treating irrigation water—that may generate negative unintended consequences for environmental and social sustainability. We synthesize socio-ecological data from three qualitative, interview-based studies to examine grower perceptions and experiences of food safety reforms in California’s Central Coast region and explore the effects of food safety regulations on environmental and socio-economic sustainability. We identify three disjunctures between food safety requirements and farming realities in practice: 1) Growers perceive that some food safety practices legitimately mitigate risk, while others fail to reduce or even accentuate risk; 2) Food safety requirements can create contradictions in the co-management of food safety and environmental sustainability; and 3) Food safety requirements may foster impediments to regional food systems socioeconomic sustainability. We argue that these disjunctures warrant changes in food safety policy, implementation, and/or food safety education. We provide concrete suggestions for shifting the focus of food safety reform away from the narrow surveillance of individual grower compliance and toward an integrated perspective on regional risk, vulnerability, and resilience.

Hydrogeochemical controls on arsenic contamination potential and health threat in an intensive agricultural area, northern China

The contamination of ground water with arsenic is a great public health concern. This paper discusses the possible formation mechanism of high As groundwater; identify the main influences of natural and anthropogenic factors on As occurrence in groundwater; and finally estimates As-induced potential health hazards in an intensive agricultural region, Datong Basin (Northern China). Our findings indicate that the predominant controlling factors of As in groundwater can be divided into natural factors and anthropogenic activities. Natural factors can be classified as natural potential source of As, environmental geological characteristics and hydrochemical conditions; anthropogenic activities are manifested in industrial coal mining, domestic coal burning, agricultural irrigation return flow and excessive application of fertilizers, and groundwater exploitation. Microbial and/or chemical reduction desorption of arsenate from Fe-oxide/hydroxide and/or clay minerals, As-bearing Fe-oxide/hydroxide reduction coupled with sulfate reduction, and competition with phosphorus are postulated to be the major process dominating As enrichment in the alkaline and anoxic groundwater. In addition, age-dependent human health risk assessment (HHRS) was performed, and high risk values reveal a high toxic and carcinogenic risk of As contaminate for population who is subject to the continuous and chronic exposure to elevated As.

Multiscale habitat mediates pest reduction by birds in an intensive agricultural region

AbstractHabitat augmentation on farms is predicted to conserve biological diversity and support beneficial animals that reduce crop pests. Effectiveness of local habitat enhancement and subsequent pest reduction services can be mediated by the amount of habitat at larger scales. We tested whether the presence and increase of local and landscape scale bird habitat increased avian predator abundance and pest reduction by birds. We surveyed birds and performed a sentinel prey exclosure experiment in walnut orchards in the Sacramento Valley, California, USA—comparing predation probability between orchards with (n = 10) and without (n = 10) woody habitat in uncultivated orchard margins. We digitized seminatural habitat cover in landscapes around orchards to test the effectiveness of avian predators in reducing sentinel prey along a seminatural cover gradient of 0–38%. Experimental prey were diapausing larvae of Cydia pomonella (L.) (Lepidoptera: Tortricidae; codling moth), a significant pest of walnuts, which overwinter in cocoons in orchards, emerge as adults, and produce larvae that feed on the nuts the following spring. Permitting bird access to cocoons increased larval predation from 11% (caged) to 46% (no cage), and predation increased with increasing proportions of seminatural habitat within 500‐m of orchard transects. Predation also increased as the size and bark furrow depth of walnut trees increased, likely because these characteristics were associated with increasing abundance of avian predators with functional traits specific to consuming tree‐dwelling cocoons (e.g., woodpeckers). The presence and increasing complexity of local margin habitat increased the species richness and abundance of avian predators but was not predictive of cocoon predation. Consistent with intermediate landscape‐complexity hypothesis predictions, the effect size of woodpecker abundance on predation was large in simple landscapes (1–20% seminatural cover) and low in complex landscapes (&gt;20% cover). Contrary to predictions, effect size was large in cleared landscapes (&lt;1% cover), suggesting that orchards supported predators in cleared landscapes, with positive effects on pest reduction. We provide evidence that increasing the abundance of avian predators with traits specific for consuming target pests—by retaining old trees and seminatural cover—can increase orchard pest reduction services in an intensive agricultural region.

Grey water footprint as an indicator for diffuse nitrogen pollution: The case of Navarra, Spain

Nitrogen is an essential element for plant growth, while its application and associated pollution is a worldwide concern. Generally, diffuse source pollution and its impacts on ecosystem health are difficult to monitor and regulate. Here we used the grey water footprint (GWF) and water pollution level (WPL) indicators, based on a soil nitrogen balance approach to differentiate between surface and groundwater, in order to better understand and quantify the pressure that nitrogen fertilisation generates on freshwater. For the first time, we compared the results of these indicators with actual nitrogen concentration data in surface and groundwater bodies, showing in both cases a positive significant correlation according to Spearman correlation coefficient. This means that the theoretical WPL results might be valuable to anticipate and identify nitrate pollution in surface and groundwater bodies. However, several factors influence the N-related processes that should be considered, such as natural attenuation. We estimated the agricultural and livestock nitrogen loads delivered to freshwater and the associated GWFs and WPLs at the municipality level in Navarra. Large GWFs are observed in southern Navarra, particularly in intensive agricultural regions such as Ribera Alta-Aragón and Ribera Baja. We estimated that 64% of the GWF related to nitrogen loads came from artificial fertilisers, 16% from manure, 11% from atmospheric deposition and the remaining 9% from biological fixation, seeds and other organic fertilisers. Among the crops, cereals had the largest contribution to the nitrogen-related GWF (54%) followed by vegetables (17%) and fodder (11%).

Temporal and Spatial Study of Water Quality and Trophic Evaluation of a Large Tropical Reservoir

A water quality study was carried out at the Adolfo López Mateos (ALM) reservoir, one of the largest tropical reservoirs in Mexico, located within an intensive agricultural region. In this study, the seasonal and spatial variations of nine water quality parameters were evaluated at four different sites along the reservoir semiannually over a period of seven years (2012–2018), considering the spring (dry) and fall (rainy) seasons. An analysis of variance was performed to compare the mean values of the water quality parameters for the different sampling sites. Then, a multiparametric classification analysis was carried out to estimate the spatial density of the sampling points by using a probabilistic neural network (PNN) classifier. The observations (seasonal and spatial) of the water quality parameters at the ALM reservoir revealed no significant influence. The trophic status was evaluated using the Carlson Modified Trophic State Index, finding the trophic state of the reservoir at the mesotrophic level, with nitrogen being the limiting nutrient. The PNN revealed neural interactions between total suspended solids (TSS) and the other four parameters, indicating that the concentration ranges of five parameters are equally distributed and classified.

Projected social costs of CO2 emissions from forest losses far exceed the sequestration benefits of forest gains under global change

Forest cover gains and losses occur in response to complex environmental and anthropogenic pressures. Yet the impact of forest gains and losses on the provision of ecosystem services differs markedly. Here we investigate the social costs of potential forest carbon change in Australia’s intensive agricultural region from 2015 to 2050 using spatial forest cover change and forest carbon models combined with climate and socioeconomic projections. More than 24,000 possible scenarios were used to identify the trend and lower and upper bounds of forest cover/carbon change. Net deforestation (3.5 million hectares, Mha) under the lower bound forest cover (LBFC) projection was around one-third less than net reforestation (4.8 Mha) under the upper bound forest cover (UBFC) projection by 2030. However, the CO2 emissions (1.3 Gigatons of CO2, GtCO2) from deforestation were more than double the sequestration (0.5 GtCO2) from reforestation. The social costs (up to 134 billion dollars) of the LBFC were almost five times the benefits of the UBFC (up to 28 billion dollars). The asymmetry decreased over time but persisted to 2050. This shows the markedly different social costs of potential forest carbon losses and gains under global change, evidence which can be useful to policymakers, stakeholders, and practitioners.

Wheat Acreage Mapping and Yield Prediction Using Landsat-8 OLI Satellite Data: a Case Study in Sahibganj Province, Jharkhand (India)

The emergence of remote sensing technologies and availability of satellite data over three decades have facilitated to monitor and understand the agricultural systems in many intensive agricultural regions. Here, we performed a comprehensive study on utilization of multi-temporal satellite data (i.e., Landsat-8 and MODIS) for wheat acreage and yield estimation during winter season (2016–2017) over the Sahibganj District in Jharkhand (India). Phenological variables were derived using the time-series normalized difference vegetation index (NDVI), which helps to understand the phenological transitions of wheat. The NDVI profile was used to derive rules for decision tree classifier to map the acerage of wheat. The key findings indicate that the acerage of wheat was estimated as ~3870 ha. Further, the long-term wheat statistics data were used to derive a yield model. Based on this model, wheat production was predicted as ~4523 t for the winter season 2016–2017, while, the mean was 3482 t. Predicted wheat yield was as ~1.17 t/ha, which was underestimated by 0.07 t/ha. Thus, it can be concluded that the accuracy of yield prediction depends on the precision of wheat acerage map derived from remote sensing data. A significant challenge for accurate acerage mapping could be the coarser spatial resolution of satellite data as the average plot sizes of Indian farmers can be far smaller than pixel sizes of the satellite data. Nevertheless, this comprehensive case study inferred that satellite-derived wheat acerage can be preferred to predict yield instead of traditional-based survey estimates.

Surface nitrous oxide concentrations and fluxes from water bodies of the agricultural watershed in Eastern China

Agriculture is one of major emission sources of nitrous oxide (N2O), an important greenhouse gas dominating stratospheric ozone destruction. However, indirect N2O emissions from agriculture watershed water surfaces are poorly understood. Here, surface-dissolved N2O concentration in water bodies of the agricultural watershed in Eastern China, one of the most intensive agricultural regions, was measured over a two-year period. Results showed that the dissolved N2O concentrations varied in samples taken from different water types, and the annual mean N2O concentrations for rivers, ponds, reservoir, and ditches were 30 ± 18, 19 ± 7, 16 ± 5 and 58 ± 69 nmol L−1, respectively. The N2O concentrations can be best predicted by the NO3−-N concentrations in rivers and by the NH4+-N concentrations in ponds. Heavy precipitation induced hot moments of riverine N2O emissions were observed during farming season. Upstream waters are hot spots, in which the N2O production rates were two times greater than in non-hotspot locations. The modeled watershed indirect N2O emission rates were comparable to direct emission from fertilized soil. A rough estimate suggests that indirect N2O emissions yield approximately 4% of the total N2O emissions yield from N-fertilizer at the watershed scale. Separate emission factors (EF) established for rivers, ponds, and reservoir were 0.0013, 0.0020, and 0.0012, respectively, indicating that the IPCC (Inter-governmental Panel on Climate Change) default value of 0.0025 may overestimate the indirect N2O emission from surface water in eastern China. EF was inversely correlated with N loading, highlighting the potential constraints in the IPCC methodology for water with a high anthropogenic N input.

Socio-economic context of soil erosion: A comparative local stakeholders’ case study from traditional agricultural region in the Czech Republic

Soil erosion by water is the most common cause of land degradation and traditionally coincides with agricultural production. This paper presents the results of a sociological case study comparing the perceptions of soil erosion of stakeholder groups from southern Moravia, an intensive agricultural and erosion-prone region in the Czech Republic. The research documents and analyses perceptions of erosion, perceived causes, and attitudes towards possible corrective measures. Altogether, 216 stakeholders consisting of farmers and local leaders (mostly mayors and vice-mayors) took part in a questionnaire survey between the years of 2012–2015. The results show that the stakeholders as whole are in general aware of the seriousness of the problem and see irresponsible farmers, lack of organic fertilizers and climate change as the major causes. Overall most preferred erosion mitigation measures were the growing of appropriate crops and the splitting of large fields into smaller ones. The views of farmers and local leaders are compared and discussed within the framework of the changing roles of rural areas. A productivist paradigm and corresponding modulation of erosion is significantly more prevalent among farmers, although not the dominant viewpoint in this group. The socio-economic context of soil erosion and recent trends in Czech soil conservation policies are discussed and it is argued that the local stakeholders are supportive of pro-environmental measures despite a lack of effort on the governmental and legislation level.

Estimating vegetation water content during the Soil Moisture Active Passive Validation Experiment 2016

Vegetation water content (VWC) is an important land surface parameter that is used in retrieving surface soil moisture from microwave satellite platforms. Operational approaches utilize relationships between VWC and satellite vegetation indices for broad categories of vegetation, i.e., “agricultural crops,” based on climatological databases. Determining crop type–specific equations for water content could lead to improvements in the soil moisture retrievals. Data to address this issue are lacking, and as a part of the calibration and validation program for NASA’s Soil Moisture Active Passive (SMAP) Mission, field experiments are conducted in northern central Iowa and southern Manitoba to investigate the performance of the SMAP soil moisture products for these intensive agricultural regions. Both sites are monitored for soil moisture, and the calibration and validation assessments had indicated performance issues in both domains. One possible source could be the characterization of the vegetation. In this investigation, Landsat 8 data are used to compute a normalized difference water index for the entire summer of 2016 that is then integrated with extensive VWC sampling to determine how to best characterize daily estimates of VWC for improved algorithm implementation. In Iowa, regression equations for corn and soybean are developed that provided VWC with root mean square error (RMSE) values of 1.37 and 1.10 kg / m2, respectively. In Manitoba, corn and soybean equations are developed with RMSE values of 0.55 and 0.25 kg / m2. Additional crop-specific equations are developed for winter wheat (RMSE of 0.07 kg / m2), canola (RMSE of 0.90 kg / m2), oats (RMSE of 0.74 kg / m2), and black beans (RMSE of 0.31 kg / m2). Overall, the conditions are judged to be typical with the exception of soybeans, which had an exceptionally high biomass as a result of significant rainfall as compared to previous studies in this region. Future implementation of these equations into algorithm development for satellite and airborne radiative transfer modeling will improve the overall performance in agricultural domains.

Towards multifunctional land use in an agricultural landscape: A trade-off and synergy analysis in the Lower Fraser Valley, Canada

Hedgerows and riparian buffers in agricultural landscapes can help increase landscape multifunctionality and thereby mitigate conflicts among agricultural production and environmental stewardship objectives. However, the relative merits of conserving versus increasing non-production perennial vegetation (NPPV) are not well understood despite the universal conflicts among such objectives in rapidly urbanizing and intensifying agricultural regions worldwide. Hence, using the most intensive agricultural region of British Columbia, Canada as a case study, we aimed to (i) evaluate the current status of NPPV in terms of carbon stocks and landscape connectivity metrics (ii) compare options for conservation relative to agricultural expansion in terms of maintenance of landscape multifunctionality (iii) identify management options for NPPV that could maximize ecological benefits using a normative scenario analysis. We determined that 83% of the NPPV found on the farmland in our study area is likely susceptible to conversion to expanding agricultural production or urban development. Scenario analysis showed planting hedgerows along all farm parcel boundaries and riparian buffers along all farmscape waterways will not compensate for the loss of multifunctionality from agricultural intensification based on expansion. Conserving or planting hedgerows alone however resulted in a disproportionate increase in connectivity given the relative loss of productive agricultural land. This analysis clearly highlights the potential trade-offs among the indicators evaluated as well as the benefits of intensification on land already in production. In the assessed landscape, protecting existing large patches of NPPV and augmenting the landscape pattern with hedgerows is an effective approach to conflicting objectives and ensuring landscape multifunctionality.