Pasture Areas Research Articles

Evaluating pasture cover density mapping: a comparative analysis of Sentinel-2 and Spot-5 multispectral sensor images

Vegetation density extraction is influenced by the characteristics of satellite images, vegetation type, classification algorithm, and region, but there is little information about multispectral imaging (MSI). Studying the compatibility of the information content of sensors to replace sensors in areas where there is no easy access to their data is necessary for remote sensing (RS) studies. This study aims to assess the suitability of MSI from Sentinel-2 and Spot-5 satellites for generating pasture density maps. The Middle Kashkan watershed in the Lorestan Province of Iran was the study area. Geometric correction of the images was performed using ground control points (GCP) and the area's digital elevation model, achieving an accuracy of 0.21 pixels or better. Supervised classification techniques including parallelogram, minimal distance, maximum likelihood, and artificial neural network (ANN) algorithms were applied to the primary MSI of each satellite, as well as the integrated image of Spot-5 and the resulting pasture density map. Three density categories were considered: 5–25%, 25–50%, and over 50%. To validate the accuracy of the classification, a ground truth map of the region was created by interpreting a referenced official digital orthophotomosaic image at a scale of 1:40,000. Comparative analysis of the classified images revealed that the Sentinel-2 image with PCA-2-8 band composition and ANN classification algorithm yielded superior results, with an overall accuracy of 65.72% and a kappa coefficient of 0.08, compared to the Spot-5 image with PCA-3-1 band composition and the ANN classification algorithm. Spot-5 satellite images demonstrated greater effectiveness in generating pasture cover maps across the three density categories. These findings suggest that satellite images with suitable spatial and spectral resolution can be effectively utilized for generating accurate pasture density maps and monitoring long-term pasture preservation, particularly in regions characterized by high aerial photography altitudes in pasture areas. This approach holds the potential for effective pasture management and conservation efforts on a global scale.

Analysis of Land Use and Land Cover Changes and Trends in Fantalle Range Land, East Shewa Zone, Oromia Regional State, Ethiopia

This study was conducted in Fantalle Range lands in East Shewa zone of, Oromia Region, Ethiopia, to assess land use land cover changes, trends, drivers and their socioeconomics. Household surveys were conducted through simple random sampling to collect qualitative data. Qualitative data are used to investigate the causes and effects of land use and land cover changes. SPSS software (version 20) was used for data analysis, and descriptive research methods were adopted. Additionally, map processing was done using ERDAS Imagine (version 9.1) and ArcGIS (version 10.1). The land use land cover classification activity was started by obtaining Landsat images of 1972, 1990, 2000 and 2020 at different intervals from the Earth Explorer (USGS) from the Landsat 4, Landsat 5, Landsat 7 and Landsat 8, respectively. Land use land cover change (LULCC) maps are generated based on year classification. Range land, agricultural land, woody vegetation, bare land and settlement are the five main LULCC categories generated from satellite data. The findings show that in the presence of LULCC, agricultural land, settlements and bare land expand significantly, while range land and woodland show a decreasing trend. The classification results of the 1972 image show that rangeland/grazing land accounts for the largest proportion of the land in this area, accounting for 31.6%. In addition, due to various factors, the number of livestock owned in pastoral areas is also decreasing. The main cause of changes in livestock types is drought, which can cause different impacts, such as feed and water shortages and health problems. Therefore, intervention in land use manipulation is needed to maintain ecosystems and natural resources. Furthermore, rangeland policies should be developed to maintain pastoral and pastoral systems.

Prevention capacity significantly reduced the livestock exposure to snow hazards across the Qinghai Plateau

Livestock snow disaster is one of the most serious natural disasters in pastoral areas during cold seasons, leading to substantial livestock losses over the past few decades. Accurate assessment of livestock exposure is crucial for reducing the risk of livestock snow disaster, while much less is known about the livestock exposure due to the lack of available gridded livestock density data with long time series. In this study, the gridded density datasets of large livestock, sheep and total livestock at a spatial resolution of 1 km across the Qinghai Plateau (QP) during 1983–2018 were generated by developing livestock density models and disaggregating livestock census data. Then, the spatiotemporal patterns of livestock exposure to snow hazards in the QP were explored and the relative contributions of influencing factors (snow hazard, livestock density and prevention capacity) were quantified. There was a significant negative trend (p < 0.10) of −1.16 × 106 standard sheep units (SSUs) decade−1 in annual total livestock number and −4.67 × 107 SSUs-day decade−1 (p < 0.05) in annual total livestock exposure across the QP from 1983 to 2018. Spatially, snow hazard, livestock density and prevention capacity dominated the total livestock exposure changes in 38.11 %, 22.70 % and 34.95 % of pastoral areas, respectively. However, the reduction in total livestock exposure across the QP was primarily contributed by prevention capacity (56.13 %). This study provides a comprehensive understanding and scientific decision-making basis for livestock snow disaster mitigation and risk management, contributing to the high-quality development of pastoral areas.

Soil quality assessment in the Araban plain across various land use types

BackgroundSoil is an important resource for improving the quality of human well-being and creating sustainable environmental awareness. Therefore, it is imperative to protect the soil health. This study determined quality of the soils in the Araban plain, Türkiye using three different methods, i.e., principal component analysis (PCA), analytic hierarchy process (AHP), and expert opinion (EO). The major aim was to determine the most appropriate method for determining soil quality and recommending soil protection practices for improving quality. MethodsThis study was conducted on an area of approximately 25,000 ha. A total of 230 soil samples (7 pasture areas, 56 orchards, and 167 arable crops) were analyzed to determine key soil quality indicators. A minimum dataset consisting of parameters that best represent the soils of the region was created. Subsequently, PCA was used to predict soil quality with the optimal accuracy using the least amount of data. The EO was incorporated to validate the PCA results. The AHP was used to assign weights to the parameters. Indicators at all sampling points were converted to unitless scorers. These scores were then formulated as soil quality index (SQI) using the weighted summation method. ResultsOrganic matter (OM) exerted the highest impact on soil quality. Significant variations in SQI values were observed among arable land, orchards land and pastureland (P < 0.01). Significant variations were recorded in SQI values of the assessment methods employed in this study. The lowest (0.552) and highest (0.829) SQI values were recorded for AHP and EO, respectively. Overall, streamlining indicators through PCA gave the most accurate result for SQI value. Subsequently, SQI determination should involve weighing with AHP, particularly towards EO. ConclusionThe AHP was found to be the most appropriate method for evaluating soil quality in Araban. This integrated approach ensures a robust evaluation of soil quality, facilitating more accurate and nuanced insights for informed land management decisions. Overall, 92.61 % of the region’s soil had poor and medium soil quality. Therefore, increasing OM content and aggregate stability are suggested to improve soil quality in the study region.

Anemia incidence and influencing factors among children aged 0-6 years in Shannan city, Xizang Autonomous Region

Objective: To investigate the prevalence and influencing factors of anemia children aged 0-6 years in Shannan city, Xizang Autonomous Region. Methods: A cross-sectional study was performed to measure hemoglobin of 12 405 children aged 0-6 years in 12 counties (districts) of Shannan city, Xizang Autonomous Region and basic information including gender, age, ethnicity, address, local altitude, urban area, agricultural and pastoral areas, etc were collected. According to the altitude of the surveyed children's place of residence, anemia in children under the plain standard and the prevalence of anemia after adjusting for altitude were reported, and the influencing factors of anemia in these children were analyzed by Logistic regression methods. Results: Among the 12 405 children, 6 383 (51.46%) were males, 6 022 (48.54%) were females, 462 (3.72%) were newborns, 68 (0.55%) were 1 month old children, 153 (1.23%) were 4-<6 months old children, and 11 722 (94.49%) were 6 months to 6 years old children. The prevalence of anemia in children aged 0-6 years in Shannan city before altitude correction was 15.50%(1 923/12 405), and it was 57.84% (7 175/12 405) after altitude correction. The hemoglobin level in the children was (131±20) g/L. Univariate analysis showed that the anemia rate of males was higher than that of females (59.17% (3 777/6 383) vs.56.43% (3 398/6 022), P<0.05), the anemia rate of Tibetan children was higher than that of children of other ethnic groups (58.21% (6 992/12 011) vs.46.45% (183/394), P<0.05), the anemia rate of children in agricultural and pastoral areas was higher than that of urban children (58.75% (6 212/10 574) vs.(52.59% 963/1 831), P<0.05), and the anemia rate of children in higher-altitude areas was higher than that of children in high-altitude areas (67.98% (2 773/4 079) vs.52.87% (4 402/8 326), P<0.05). Logistic regression analysis revealed that girls (OR=0.89, 95%CI 0.83-0.96), children of other ethnic groups (OR=0.72, 95%CI 0.58-0.89), children aged 4-<6 months (OR=0.40, 95%CI 0.24-0.67) and children aged 6 months to 6 years (OR=0.59, 95%CI 0.43-0.82) were protective factors, and children who lived in agricultural and pastoral areas (OR=1.15, 95%CI 1.04-1.28) and children living at altitudes higher than 4 000 m areas (OR=1.88, 95%CI 1.73-2.04) were independent risk factors for the occurrence of anemia. Conclusions: The prevalence of anemia in children aged 0-6 years in Shannan city was still relatively high. It might be affected by factors such as sex, ethnicity, age of the children, place of residence and altitude where the children lived.

Predictors of time to death among under-five children in pastoral regions of Ethiopia: A retrospective follow-up study.

In Ethiopia, the mortality rate for children under five is a public health concern. Regretfully, the problem is notably underestimated and underreported, making it impossible to fully recognize how serious the situation is in the nation's developing regions. Unfortunately, no single study has been conducted to reveal the rates and predictor factors of under-five child death in Ethiopia's pastoral regions. Therefore, the purpose of this study was to determine the critical variables that led to a shorter survival time to death for children in Ethiopia's pastoral regions under the age of five. Between January 18 and June 27, 2016, a retrospective follow-up study was done among under-five children in pastoral areas of Ethiopia. The statistically significant difference between categorical predictors was shown using the log-rank test, and the Kaplan-Meier survival curve was used to determine the survival time. In order to identify the time-to-death predictor factors in children under five, Cox proportional hazards (PH) model analyses of bivariable and multivariable variables were fitted. A total 7,677 children were included in the study. The overall incidence rate of under-five mortality was 8.4% (95% CI 7.77%, 9.0%). In the multivariable Cox PH model analysis, children vaccinated (AHR: 0.72, 95% CI: 0.59, 0.88), mothers aged 35-40 (AHR: 1.27; 95% CI: 1.06, 1.52), and above 41 (AHR: 2.18, 95% CI: 1.59, 2.98), not initiating exclusively breastfeeding (AHR: 1.26, 95% CI: 1.02, 1.55), the agriculture sector of the mother's occupation (AHR: 2.57, 95% CI: 1.74, 3.31), the male sex of the household head (AHR: 0.67, 95% CI: 0.56, 0.81), non-anemic child (AHR: 0.67, 95% CI: 0.55, 0.83), and rural residence (AHR: 3.27, 95% CI: 1.45, 7.38) were identified as main predictors of time to death among under-five children. In this study, the authors found a higher rate of under-five deaths than the national figure. A child vaccinated, exclusively breastfeeding, mother's occupation, sex of household head, anemic child, mother's age, and residence were found to be the most influential predictors for time-to-death. Therefore, to lower the high incidence of under-five mortality, the government should focus on the pastoral regional states of Ethiopia.

Eddy covariance fluxes of greenhouse gasses observed in a renewed pasture in the southeast of Brazil

The recovery of degraded pastures and the increase in their capacity for storing carbon is a key strategy in Brazil's commitment to meeting its Nationally Determined Contribution (NDC) to the international effort to halt global warming. Here we report the fluxes of CO2, N2O and CH4 gasses and their balances, obtained by the eddy covariance method, from a representative pasture area in southeast Brazil. The measurements covered more than five years, starting with the old degraded pasture, covering the renewal process and then the re-establishment of pasture. The latter only received nitrogen fertilization once after the renewal – the common practice. The net ecosystem carbon balance (NECB), which considered the sum of the net ecosystem exchange (NEEpasture) of CO2 and methane (FCH4pasture) without the cattle respiration and enteric fermentation, as well the export/import of carbon by grazing and as feces (stocking rates of 1.8 to 3.3 AU ha−1), was positive in the old pasture (236 ± 104 g CO2m−2 year−1) representing a source to the atmosphere, but a sink (negative) during the first year of the renewal (-1603 ± 122 g CO2m−2 year−1) when it was fertilized and the recorded rainfall was normal. In the following two years it was neutral (77 ± 93 and 5 ± 100 g CO2m−2 year−1), partially a consequence of the lower rainfall received. In the fourth year it was a sink again (-736 ± 131 g CO2m−2 year−1). On average the cumulative fluxes of CH4 (42 ± 19 g CO2 eq. m−2 year−1) without the animals’ enteric fermentation and N2O (20 ± 10 g CO2 eq. m−2 year−1) were small and positive, being offset by the net carbon gain. The NECB for this site covering the period of measurements was an overall source of 671 ± 254 g CO2m−2.

Study on the Effects of Pasture Fiber on Thermal Properties of Slag Bricks.

In the context of ecological sustainability, this study focuses on the effect of variables of pasture fibers on the thermal properties of slag bricks made from a green recyclable material. This experiment uses slag as the binder, sand as the aggregate, and pasture fiber as an additive. The experimental variables include the additive content ratio of the pasture fiber, the size of the pasture fiber, and the type of pasture fiber. Significance analysis of the experimental results of the thermal performance tests is carried out using Minitab 18.1.0 software, and the optimal ratios for the thermal performance of the composite samples are derived from the response optimizer and conformity analysis. The results of the experiment's test analysis using Minitab 18 software indicate that, with an increase in pasture fiber content, the thermal performance of the composite samples initially decreases before increasing. Additionally, the lower the thermal conductivity of the composite sample, the lower the apparent density and the higher the porosity. Incorporating pasture fibers into slag bricks, as revealed in this study, reduces the waste of pasture resources in pastoral areas and promotes the development of sustainable building materials with favorable thermal properties.

Crop type classification, trends, and patterns of central California agricultural fields from 2005 to 2020

AbstractCalifornia produces many key agricultural products in the United States. Current geospatial agricultural datasets are limited in mapping accuracy, spatial context, or observation period. This study uses machine learning and high‐resolution imagery to produce a time series of crop maps to assess crop type trends and patterns across central California from 2005 to 2020. National Agriculture Imagery Program and Landsat imagery were used to classify nine crop types that are common in the study region: grain crops, field crops, rice, citrus and subtropical, deciduous fruit and nut, vineyard, berry and vegetable, pasture, and fallow/young perennial crop types. To create labeled data, we sampled 1253 fields and manually identified crop types for each examined year using high‐resolution imagery and Landsat normalized difference vegetation index time series. We applied a random forest machine learning algorithm in Google Earth Engine. Results show that the mean overall classification accuracy of the nine‐class map was 93.1%, with individual accuracies ranging from 99.3% (rice) to 89.5% (fallow/young perennial). Mann–Kendall trend tests showed significant (p &lt; 0.05) declines in field crop and pasture area during the study period, while deciduous fruit and nut, citrus and subtropical, and fallow/young perennial crop types experienced significant increases. At an aggregate level, there was a general shift from annual crop types to perennial crop types. These data provide a 16‐year time span of spatially explicit crop type classifications, trends, and patterns in central California that can be used to aid managers and decision makers for resource planning or hazard mitigation.

Herders' risk preference and grassland transfer strategy: Evidence from a field experiment in pastoral areas of China

AbstractEncouraging and guiding herders to participate in grassland transfer promotes the high‐quality development of grassland animal husbandry. We conducted a survey among 356 herders from Qinghai and Gansu provinces in China, to explore the impact of herders' risk preference and perceptions on their grassland transfer strategies. We used experimental economics methods to measure the risk preferences of herders. Our results indicate that the majority of herders exhibit risk‐averse attitudes. A theoretical model was used to establish hypotheses on the relationship between risk preference and grassland transfer decision‐making. The double‐hurdle model and moderating effect model were used to test these hypotheses. Our analysis shows that herders' risk preferences have a significant negative effect on their decisions to engage in grassland transfer. Both risk preferences and risk perception have a significant impact on grassland transfer‐in decisions, but no significant impact on grassland transfer‐out. A heterogeneity analysis revealed that the impact of risk preferences on grassland transfer participation is more pronounced among herders in Qinghai compared to those in Gansu. Moreover, we found that risk perception plays a moderating role on the influence of risk preferences on decisions regarding grassland transfer. These findings are crucial to formulate strategies for the sustainable management of the grassland transfer market.

A sero-epidemiological analysis of Coxiella burnetii infection and its risk factors in livestock from Addis Ababa, Adama, and Modjo abattoirs and pastoral areas of Oromia, Ethiopia.

Coxiella burnetii is causing infections in both humans and animals, resulting in Q fever and Coxiellosis, respectively. Information on the occurrence of C. burnetii infection is scarce in Ethiopia. This study estimated the sero-prevalence of C. burnetii infection and associated risk factors in four common livestock species from Addis Ababa, Adama, and Modjo abattoirs and pastoral areas of Oromia, Ethiopia. Sera samples were analyzed for the presence of anti-C. burnetii antibodies using an indirect Enzyme Linked Immunosorbent Assay kit. Out of the 4140 serum samples tested, 777 (18.77%; 95% CI: 17.59, 19.99) were found positive for C. burnetii. The sero-prevalence estimate was 27.17% at Addis Ababa abattoir, 19.41% at Adama abattoir, 19.13% at Modjo abattoir and 12.1% in animals tested from pastoral areas. Sera analysis at the animal species level showed that cattle exhibited the lowest sero-prevalence estimate (11.83%; 95% CI, 10.27-13.53%), while the highest was observed in camels (28.39%; 95% CI, 25.16-31.80%). The sero-prevalence estimate was 21.34% (95% CI, 18.86-23.99%) in goats and 20.17% (95% CI, 17.49-23.07%) in sheep. The results of multivariable logistic regression analysis showed that species, age, sex of animals and tick infestation were important risk factors for C. burnetii infection. The odds of infection were 3.22 times higher in camels and almost twice as high in goats and sheep compared to cattle. Adult animals were infected more likely (OR = 3.23) than young ones. Interestingly, a significant difference was observed in the sero-prevalence of infection between animals that were infested with ticks (OR = 16.32) and those which were tick-free. This study provides valuable insights into the sero-epidemiology of C. burnetii infection in four common livestock species at major abattoirs and pastoral areas of Ethiopia. The findings highlight the need for further studies and implementing surveillance and biosecurity measures to prevent the spread of the disease in both humans and livestock to safeguard the economical and public health aspects.

Investigating the impact of urban growth on land use using spatial autocorrelation methods in Konya/Türkiye.

Land use land cover (LULC) change, global environmental change, and sustainable change are frequently discussed topics in research at the moment. It is important to determine the historical LULC change process for effective environmental planning and the most appropriate use of land resources. This study analysed the spatial autocorrelation of the land use structure in Konya between 1990 and 2018. For this, Global and Local Moran's I indices based on land use data from 122 neighbourhoods and hot spot analysis (Getis-Ord Gi*) methods were applied to measure the spatial correlation of changes and to determine statistically significant hot and cold spatial clusters. According to the research results, the growth of urban areas has largely destroyed the most productive agricultural lands in the region. This change showed high spatial clustering both on an area and a proportional basis in the northern and southern parts of the city. On the other hand, the growth in the industrial area suppressed the pasture areas the most in the north-eastern region of the city, and this region showed high spatial clustering on both spatial and proportional scales.

Seroprevalence of Coxiella burnetii and potential tick vectors infesting domestic ruminants and community perception of the disease in pastoral areas of south Omo zone, southern Ethiopia

BackgroundQ fever is a worldwide occurring neglected zoonotic disease with great economic importance. The etiological agent, Coxiella burnetii, is a bacterium usually associated with subclinical infections in livestock, but may also cause reproductive pathology and spontaneous abortions in artiodactyl species including goats, sheep and cattle which are deemed to be the primary reservoirs of this disease. AimsThe present cross-sectional and questionnaire survey was undertaken in three districts of the South Omo zone with the aims to comprehend the community perception of livestock keepers and professionals about the disease, estimate the seroprevalence of Coxiella burnetii (C. burnetii) in cattle and small ruminants and to determine the species of potential tick vectors of C. burnetii infesting cattle, sheep and goats. MethodsA standard questionnaire was used to assess the community perception of livestock keepers and animal health professionals in the area about Q fever. Sera samples were collected from 1350 ruminants comprising 450 cattle, 450 goats and 450 sheep to detect C. burnetii antibodies using the ELISA technique. Furthermore, a total of 279 cattle, 197 goats and 73 sheep were examined for the presence of ticks, and overall, 2720 ticks were collected (1299 from cattle, 1020 from goats and 401 from sheep) and identified to the species level using morphologically identification keys. ResultsFindings of the study indicated that 43% of animal owners were aware of the main symptoms of the disease while the remaining 57% did not notice these symptoms in their animals. Additionally, majority of animal health professionals 76.2% in the area reported they were familiar with the causative agent of Q fever, while 23.8% expressed uncertainty regarding the cause of coxiellosis. An overall seroprevalence of C. burnetii of 37.6% in cattle (37.4% in female and 37.8% in male cattle) and 28.7% in small ruminants was recorded (which is significantly higher in goats than in sheep). The study indicated statistically significantly higher seroprevalence of C. burnetii (49.8%) in cattle infested with ticks than in those cattle free of ticks (24.2%), with three times higher seropositivity (OR = 2.97, p = 0.000) as compared to those cattle free of ticks (24.2%). Similarly, statistically significantly higher seroprevalence of C. burnetii was recorded in both sheep and goats infested with ticks (43.6%) as compared to those animals without ticks (22.9%), with the former being twice as likely to test seropositive (OR = 2.15, p = 0.000). A total of nine different tick species were identified, namely Amblyomma variegatum (Am. variegatum) with 26.3% (342; 217 males, 101 females and 24 nymphs), Amblyomma cohaerens (Am. cohaerens) with 47.96% (370 males, 253 females), Amblyomma gemma (Am. gemma) with 4.00% (52; 29 males, 23 female), Rhipicephalus pulchellus (Rh. pulchellus) with 10.6% (138; 87 males, 51 females), Rhipicephalus pravus (Rh. pravus) with 0.2% (3; 2 males, 1 females), Rhipicephalus evertsi (Rh. evertsi) with 4.7% (61; 39 males, 22 females), Rhipicephalus praetextatus (Rh. praetextatus) with 0.8% (10; 7 males, 3 females), Rhipicephalus decoloratus (Rh decoloratus) with 2.9% (38; 4 males, 34 females) and Hyalomma truncatum (Hy. truncatum) with 2.5% (32 females). ConclusionThe present study highlighted the significance of Q fever in ruminants and compiled information about the community perception of livestock keepers and veterinary professionals of the study areas. The role of ruminants and their ticks in the epidemiology of C. burnetii requires further research using molecular tools to better understand appropriate method of intervention that will help to reduce negative impacts on the productivities of livestock and the health of humans in Ethiopia.

Spatial analysis of soil micronutrients in an area of extensive pasture in the southeast of the State of Tocantins

Spatial analysis of soil micronutrients in an area of extensive pasture in the southeast of the State of Tocantins

Soil surface erosion susceptibility analysis using the USLE model. Case study: Bran - Dragoslavele Corridor, Romania

The present study falls within the scope of the analysis of the morphodynamic potential of the Bran - Dragoslavele Corridor (Romania), a low mountain area, favorable to erosion processes due to the high energy of the relief, diversified lithology, tectonic complexity, and due to the variation in the energy of atmospheric risk phenomena. For the expansion of pastoral agricultural areas and those intended for human settlements, the deforestation of the last 3-4 centuries deprived the slopes and the soil of the protective forest cover on an area of 55.44%, favoring the amplification of the action of natural morphodynamic agents. In this context, the quantitative and spatial assessment of sheet erosion, expressed as the average annual rate of surface soil erosion (measured in tons hectare–1) was approached by applying the calculation model implemented in the GIS environment by using the universal soil loss equation (USLE). Implementation of the model was realized through the spatial delimitation of the potential erosion and the rendering by susceptibility classes of the quantitative results which reveal the fact that the largest surface of the studied mountain unit (91.68%) presents tolerable values, of 0-1.5 t ha–1 year–1. The highest values, over 4 t ha–1 year–1 (1.24%), are characteristic of the calcareous areas belonging to the many sectors of the gorges with discontinuous vegetation, as well as the limestone exploitation area from Mateiaș mountain. The quantitative knowledge and spatial distribution of surface erosion becomes important for communities and local authorities, interested in the planning and management of the implementation of some agrotechnical measures to improve the quality and productivity of soils or to prevent and restrict erosion processes with a tendency to expand areally and in depth.

Technology roadmap of risk identification and collision avoidance decision-making in autonomous vehicles for domestic animals

At present, the multi-targets autonomous vehicles identify are mainly various road users such as vehicles and pedestrians in cities. However, in recent years, there are increasing vehicle-animal accidents in pastoral areas of China, and there is a lack of corresponding practical intelligent safety warning measurements. In order to realise the identification and collision avoidance of typical animals, this study obtains the basic characteristics of collisions and the animals’ behavioural characteristics from the pastoral accidents investigation. Firstly, an attempt to focus on the use of the algorithm of the binocular infra-red equipment is made, with the main targets of identification being domestic animals at night or under low brightness conditions. Secondly, the algorithm technology roadmap from the identification and the risk assessment to collision avoidance decision-making is designed. Further, based on the technical route, a feasible solution and overall technical program is presented, which outlines the five aspects of the proposed engineering-ready scheme’s architecture. The methodology used involves transfer learning and the PSMNet network model. The paper concludes that the system can predict the animal’s movement and make proper decisions by utilising binocular infra-red equipment, integrating its algorithms and the support of its behavioural risk assessment. The research results will contribute to the animal collision avoidance technology and the traffic safety in pastoral areas in the future.

Species Composition of a Small Mammal Community and Prevalence of Echinococcus spp. in the Alpine Pastoral Area of the Eastern Tibetan Plateau.

We aimed to investigate the species composition of a small mammal community and the prevalence of Echinococcus spp. in a typical endemic area of the Tibetan Plateau. One pika and five rodent species were identified based on the morphological characteristics of 1278 small mammal specimens collected during 2014-2019. Detection of Echinococcus DNA in tissue samples from small mammal specimens revealed that Ochotona curzoniae (pika, total prevalence: 6.02%, 26/432), Neodon fuscus (5.91%, 38/643), N. leucurus (2.50%, 3/120), and Alexandromys limnophilus (21.74%, 10/46) were infected by both E. multilocularis and E. shiquicus; Cricetulus longicaudatus (16.67%, 1/6) was infected by E. shiquicus; and no infection was detected in N. irene (0/15). Neodon fuscus and O. curzoniae were the two most abundant small mammal species. There was no significant difference in the prevalence of pika and the overall rodent species assemblage (6.26%, 53/846); however, the larger rodent populations suggested that more attention should be paid to their role in the transmission of echinococcosis in the wildlife reservoir, which has long been underestimated. Moreover, although DNA barcoding provides a more efficient method than traditional morphological methods for identifying large numbers of small mammal samples, commonly used barcodes failed to distinguish the three Neodon species in this study. The close genetic relationships between these species suggest the need to develop more powerful molecular taxonomic tools.

Seroprevalence and Associated Risk Factors of Contagious Caprine Pleuropneumonia in Selected Districts of Borana Pastoral Area, Southern Oromia, Ethiopia

Seroprevalence and Associated Risk Factors of Contagious Caprine Pleuropneumonia in Selected Districts of Borana Pastoral Area, Southern Oromia, Ethiopia

Pasture lands and food supply in the Mangistau region of Kazakhstan under drought conditions: searching for compromises, recommendations

starvation of livestock in drought conditions resulting from pasture degradation. Methods - analysis and generalization of the legislation of Kazakhstan in the field of agriculture and land reclamation, Land Code based on data on the number of livestock in dynamics and share of regions in the overall country indicator. Results - issues of accessibility of pasture lands for grazing and food supply for animals in the Mangistau region were considered, facts of their death due to dystrophy caused by malnutrition were revealed. According to statistics, in 2022 there were 22.8 thousand heads of cattle, which is 4.2% less than in 2021, about 85.7 thousand heads of camels (increase by 6%), 120.5 thousand heads of horses (increase by 6.3%). Due to desertification and deterioration of pastures, the number of abandoned pastures is increasing. Conclusions - Innovative approaches are needed to address sustainable land management challenges, implementing strategies such as rotational plot systems that promote restoration of rangelands, allowing vegetation to rest between grazing periods in mountainous and foothill areas, which in turn maintains soil fertility and contributes to conservation of biodiversity. It is also necessary to grow drought-resistant forage desert plants adapted to climate change, this increases the availability of forage crops, balances livestock diets and reduces the load on ecosystems. The article proposes plans to expand pasture areas and their use, and develop projects in the field of feed production.

Exploring the Influence of Sociocultural Factors on the Non-Utilization of Family Planning amongst Women in Ethiopia's Pastoralist Regions.

This study aimed to explore the sociocultural determinants of family planning (FP) utilization among women in pastoralist areas of Ethiopia. A community-based cross-sectional survey was conducted involving 682 reproductive-aged women selected from three regions in pastoralist districts. Hierarchical logistic regression was used to identify factors associated with women who did not use FP. This study revealed that 47% of women did not use FP. Women who did not use FP were more likely to have shorter spacing between births, lack their partner's support, not be involved in decisions regarding large household purchases, and have low household expenditures. Overall, the prevalence of not using FP is significantly high in pastoralist communities in Ethiopia. The authors recommend that investment in women's health and FP be targeted at educational campaigns to raise awareness about FP and its importance. Engaging men and community leaders, promoting their support for FP and contraceptive use, and providing financial assistance to address financial barriers, such as transportation costs and healthcare fees, are important aspects that can increase the utilization of FP methods.