Annual Yield Estimates Research Articles

Predicting Field Efficiency of Round-Baling Operations in High-Yielding Biomass Crops

Model simulations for bioenergy harvest planning need to utilize equipment-capacity relationships for equipment operating under the high-yield conditions typical of a biomass crop. These performance assumptions have a direct bearing on the estimates of machine capacity, the number of machines required, and, therefore, the cost to fulfill the biorefinery plant demands for a given harvest window. Typically, two major issues in these models have been poorly understood: the available time required to complete the harvest operation (often called probability of workdays) and the capacity of the harvest equipment as impacted by yield. Simulations use annual yield estimates, which incorporate weather events, to demonstrate year-to-year effects. Some simulations also incorporate potential yield increases from genetically modified energy crops. There are limited field performance data for most current forage equipment used for harvesting high-yield biomass crops. Analysis shows that the impact of wrap/eject time for round balers resulted in a 50% reduction in achieved throughput capacity (Mg/h). After the maximum throughput is reached, the cost of the round bale operation (3.23 USD/Mg) is double that of the large-square baler (1.63 USD/Mg). The round baler achieved throughput capacity is 50% less (32.7 Mg/h compared to 71.0 Mg/h) than the large-square baler.

Development of a Combined Drought Indicator to detect agricultural drought in Europe

Abstract. This study proposes a drought indicator that combines the Standardized Precipitation Index (SPI), the anomalies of soil moisture and the anomalies of the fraction of Absorbed Photosynthetically Active Radiation (fAPAR). Computed at the European level, the Combined Drought Indicator (CDI) gives a synthetic and synoptic overview of the drought situation using a classification scheme. Derived from the integration of the three individual indices, this classification scheme is composed of three warning levels: "watch" when a relevant precipitation shortage is observed, "warning" when this precipitation shortage translates into a soil moisture anomaly, and "alert" when these two conditions are accompanied by an anomaly in the vegetation condition. The design of the CDI includes the study of the relationship between the three individual indices. To achieve this, the SPI-3 (3-month SPI) was computed using the precipitation data obtained from a set of weather stations located in different agricultural areas of Europe, while the soil moisture and fAPAR data were extracted from the pixels of the respective grids surrounding these stations. The CDI is assessed for the main drought episodes of Europe between 2000 and 2011, using reported data from different sources, such as the EM-DAT Emergency Events Database and Eurostat annual yield estimates. The capability of the CDI to serve for drought early warning is evaluated as well as its robustness against false alarms. The indicator has been spatially implemented for the entire continent using different information layers of the European Drought Observatory. These layers correspond to SPI-3 grids derived from interpolated weather station precipitation data, anomalies of fAPAR from the MERIS Global Vegetation Index and anomalies of soil moisture obtained using the LISFLOOD distributed hydrological model. Maps of the CDI obtained for the European drought event in spring 2011 are shown and discussed, evaluating its operational applicability. To conclude, the main limitations of the indicator are presented and possible avenues for improvement are discussed.

A field comparison of three pressure-difference bedload samplers

The movement of bedload over a cross-section is often sampled using a “pressure-difference bedload sampler”, such as the Helley–Smith. Whereas several types are in use, no one device has gained universal acceptance as the standard for use in all types of streams. Moreover, evidence suggests that similar devices may collect substantially different amounts of bedload because of only slight modifications in design. In this study, sample weights collected by three types of pressure-difference samplers are compared to determine whether differences are statistically significant or whether sampler performance is so irregular and overlapping that one might regard them as being the same. The results confirm that the weights of samples collected by the devices are significantly different. Generally, the US BLH 84 collected less material, the Sheetmetal Helley–Smith collected more material, and the Original Helley–Smith was intermediate; these tendencies were consistent at two sites where bedload was measured. The implication of these results is that measured transport rates will vary depending on the sampler used and, therefore, they are not directly comparable without some mode of calibration. To place this finding in a larger context, sediment rating curves, determined from weights of samples and measurements of flow, were integrated over available flow records and used to estimate annual yield. Three estimates of annual yield, one for each device, were then compared with measures of annual accumulation from a weir pond below one of the collection sites. The results indicate that despite differences between the devices, data obtained with pressure-difference samplers estimated annual accumulations of sediment reasonably well. Predicted accumulations were within 40–50% of the measured yield for two samplers whereas the third sampler predicted within 80%.

Characteristics of a Sri Lankan reservoir fishery and consequences for the estimation of annual yield

A quantitative analysis of dynamics in catch, effort and catch per unit of effort (CpUE) was applied to indicate how a system for the collection of catch and effort data could be optimised and how the accuracy of fisheries statistics could be improved. Temporal and spatial patterns in the commercial fisheries were studied in Tissawewa, a representative irrigation reservoir in Sri Lanka. Considerable fluctuations of water level in shallow waters are important characteristics of the irrigation reservoirs in Sri lanka. Reservoir water level and surface area in Tissawewa fluctuated around means of 2.30 m and 175 ha respectively. The reservoir almost ran dry halfway through the study period. After 2 months the reservoir filled up again. The total annual catch from Tissawewa was estimated at 42 431 kg year −1 over the first year, and 11 011 kg year −1 over the second. The annual yield was estimated to range from 150 to 250 kg ha −1 year −1 depending on the occurrence of dry periods. The main fishing methods were normal (stationary) gillnetting, cast netting, seining with gillnets and ‘water beating’. Normal gillnets, usually with 64 or 70 mm stretched mesh, were by far the most important gear. The CpUE was defined as the catch of a single fishing trip by an outrigger canoe. Strata in the CpUE data set were identified to enable the development of an efficient catch and effort data recording system (CEDRS). The overall mean catch per trip was not significantly different between fishing methods or between fishing areas. Significant differences, explaining 30% of the total variance in CpUE, were observed between sampling months. A CEDRS with an accuracy of 28% for the estimated annual catch, 17% for the catch per unit of effort, and 11% for the effort was proposed for the reservoir fishery. Not more than one sampling day per month is needed to achieve this accuracy in a reservoir like Tissawewa. This is a 50% reduction in sampling investments compared with the former official CEDRS for Sri Lankan reservoirs. Application of the proposed CEDRS will remove the bias which presently occurs in the official data, which are based on the number of registered canoes and not on actual recordings of effort.

Simulation estimates of annual yield and landed value for commercial penaeid prawns from a tropical seagrass habitat, Northern Queensland, Australia

Concern over the loss of seagrass habitat has prompted examination of the value of the production of commercial prawns from such habitat. Cairns Harbour in tropical northern Queensland has 876 ha of mixed seagrasses, dominated by Zostera capricorni and Halodule pinifolia, that support a multispecies commercial penaeid prawn fishery offshore. Densities of juvenile commercial prawns estimated from seagrass surveys were used to project estimates of annual yield and landed value, using a deterministic simulation model employing lunar-period time steps. Estimates of the potential total annual yield from Cairns Harbour seagrasses for the three major commercial prawn species (Penaeus esculentus, P. semisulcatus and Metapenaeus endeavouri) were 178 t (range 81-316 t) year-1 with a landed value of $A1.2 million (range $0.6 million to $2.2 million) year-1.

Some general and theoretical considerations on the fish yield of African rivers

The factors regulating fish production from river systems remain poorly studied and understood. Rivers conform to physical and chemical laws which determine their morphology. From these laws relationships are calculated which estimate the total length and number of streams of different order on the African continent. Edaphic factors very less than morphological ones and the chemical and physical conditions in the major river channels tend to resemble each other closely. The present catch from African rivers, evaluated from catch statistics, by country and by river system, resembles a theoretical figure derived from the basin area. However, these statistics are drawn only from major fisheries and there remain a very large number of smaller streams whose production does not enter into this calculation. A theoretical approach to this problem is proposed which gives an estimate of annual yield of 530 000 t of fish at present levels of catch. Deviations from the theoretical yield in individual river systems arise from differences in both edaphic and morphological characteristics.