Harvesting Areas Research Articles

Data Mining Forecasting Methods for Predicting the Availability of Sustainable Rice Commodities in Bali Province

This research aims to prepare the capacity of local governments to provide sufficient strategic food production, especially rice, which is the commodity most consumed by the people of Gianyar Regency every year. This research is descriptive research with a quantitative approach. The data used in the analysis is secondary data in the form of rice production data (tons), rice production (tons), harvested area (ha), public consumption of rice commodities (kg) and population (people) from 2018 to 2022. obtained from the Central Statistics Agency (BPS) and the Bali Province Agriculture and Food Security Service. The results of this research show that the forecasting method using the Backpropagation algorithm can be used to provide an approach to forecasting rice harvest area, rice production, rice production, community consumption levels, and population in 2023 and 2024 in Gianyar Regency. The Backpropagation architectural design uses 12 input layers, 10 hidden layers, and 1 output with Mean Absolute Percentage Error (MAPE) results of 0.22 and Mean Absolute Deviation (MAD) of 339 with a very good forecasting category. The average ratio of normative per capita consumption to food availability, especially rice commodities in Gianyar Regency in 2023 will experience a high deficit condition with a Cnorm Ratio value (z) = 1.52 and in 2024 will experience a high deficit condition with a Cnorm Ratio value (z) = 1.57. The forecasting method using the Backpropagation Algorithm can still be developed by focusing on each district by calculating the overall food commodities in that district.

Isolation and Identification of Vibrio sp. from Marine Fishes of Mumbai, Maharashtra, India

Vibrio is a common bacterium found in marine fishes. Vibrio species are pathogenic to humans and cause various gastrointestinal diseases. Fish markets, fish harvesting areas, vectors like flies, seawater and sometimes fresh water bodies are the source of spread of this bacterium. Improper handling or pathogen contamination during transit has an impact not only on human health but also on the population of marine fish. Vibrio is known to be a human pathogen, the onset and spread of this bacterium causes severe diarrhoea. In this study, the presence of Vibrio species in marine water fishes was determined from fishes collected from various fish markets in Mumbai, Maharashtra. Various biochemical tests were performed to isolate and identify the Vibrio species. In the family Vibrionaceae three species such as Vibrio cholera, Vibrio parahaemolyticus and Vibrio vulnificus were identified. Additionally, a survey was conducted using google forms to understand the consumption rate of fish by people and also to gauge the awareness among public about the bacterial disease caused by consumption of fishes. It was observed that a large number of individuals consumed various types of fishes including marine and freshwater fishes on a regular basis. People also consume raw fish delicacies. However, very few individuals were aware of the bacteria and its related diseases, most of the participants were unaware of the presence of bacteria like Vibrio cholera and its associated diseases.

High-resolution harvester data for estimating rolling resistance and forest trafficability

Information on terrain conditions is a prerequisite for planning environmentally and economically sustainable forest harvesting operations that avoid negative impact on soils. Current soil data are coarse, and collecting such data with traditional methods is expensive. Forest harvesters can be harnessed to estimate the rolling resistance coefficient (μRR\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mu _{RR}$$\\end{document}), which is a proxy for forest trafficability. Using spatio-temporal data on engine power used, speed travelled, and machine inclination, μRR\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mu _{RR}$$\\end{document} can be computed for harvest areas. This study describes an extensive, high-resolution data on μRR\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mu _{RR}$$\\end{document} collected in a boreal forest landscape in Southern Finland during the non-frost period of 2021, covering roughly 50 km of harvester routes. We report improvements in removing some of the previous restrictions on calculating μRR\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mu _{RR}$$\\end{document} on steeper slopes, enabling the calculation within a -10∘\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$-10^{\\circ }$$\\end{document} to +10∘\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$+10^{\\circ }$$\\end{document} slope range with a speed range of 0.6–1.2 ms-1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$^{-1}$$\\end{document}. We characterise the variation in μRR\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mu _{RR}$$\\end{document} both between and within 11 test sites harvested during the April-August period. The site mean μRR\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mu _{RR}$$\\end{document} varies from ∼\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\sim$$\\end{document} 0.14 to 0.19 and shows significant differences between the sites. Using simulations of the hydrological state of the soil and open spatial data on forest and topography, we identify features that best explain the extremes of μRR\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mu _{RR}$$\\end{document} within the sites. Several wetness-related indices, such as the depth-to-water index with varying thresholds, explain the μRR\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mu _{RR}$$\\end{document} extremes, while biomass-related stand attributes indirectly explain these through their linkage to site and soil characteristics. Obtaining μRR\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mu _{RR}$$\\end{document} from actual operational data extends the capabilities of large-scale harvester-based data collection and paves the way for building data-driven models for trafficability prediction.

Regeneration of rural rice farmers in Central Java Province

Central Java Province is one of the rice production centers in Java Island which plays a role in supporting national food availability. The phenomenon of a decrease in the number of agricultural business households over 10 years by 16.3 % indicates a shift in the interest of people working in the agricultural sector, switching to other sectors outside the agricultural sector. The lack of interest of the younger generation in farming indicates the phenomenon of a shift in community interest in the agricultural sector. This is inseparable from the regeneration of farmers in rural areas. This research uses the basic method of descriptive analysis. The research location was determined by purposive method so that the district with the largest average harvest area and rice production, namely Grobogan District and the location that reflects the adoption of technology, namely Sukoharjo District. The number of research samples was 250 samples of rice farmers in Central Java Province. Factors affecting the regeneration of rice farmers in Central Java Province were analyzed by SEM PLS. The results of the inner model analysis showed (1) latent variables of individual characteristics, socio-cultural environment, and farmer empowerment significantly positive effect on the performance of rice farmers, (2) economic environment variables and farm management had, a significantly negative effect on the performance of rice farmers, (3) latent variables of socio-cultural environment, economic environment, and performance of rice farmers have a significant positive effect on the regeneration of rice farmers in Central Java Province and (4) variable farmer empowerment has a significant negative effect on the regeneration of rice farmers in Central Java Province. The results of the model fit analysis and quality indices show that the model fit test has been fit (ideal).

Effects of Human Harvesting, Residences, and Forage Abundance on Deer Spatial Distribution.

It has been known that harvesting by humans strongly influences individual within-home range habitat selection of many deer species; however, little is known about the effect of harvesting on coarse-scale habitat selection (i.e., spatial distribution). We examined the summer spatial distribution of sika deer Cervus nippon in relation to human harvesting and other factors, such as human residences, forage abundance, and cover, using pellet group counts at Mount Fuji, central Japan, in 2018. In the study area, harvesting is conducted at medium elevation areas throughout the year, but not at high or low elevation areas where access is difficult or harvesting is prohibited. Spatial distribution of deer was significantly biased to non-harvesting areas and far from residential areas, suggesting that they avoid riskier spaces by establishing a landscape of fear. High-quality food resources (deciduous broad-leaved trees and forbs) were more abundant in harvesting areas than in non-harvesting areas, suggesting that foraging pressure by deer reduce them. However, there were no differences in abundances of more fibrous dwarf bamboo between harvesting and non-harvesting areas, and spatial distribution of deer was significantly biased to higher dwarf bamboo abundance areas, suggesting that the dwarf bamboo is an alternative food resource in non-harvesting areas where supplies of high-quality food were limited. Our results suggest that human harvesting pressure and residences shifted the spatial distribution of deer from the montane forests to subalpine/alpine zones, which may increase damage to vulnerable ecosystems due to severe foraging pressure.

SOYBEAN CULTURE AND ITS ROLE IN MODERN GLOBAL AND NATIONAL АGRICULTURAL PRODUCTION

The research objective is to analyze the dynamics of soybean cultivation areas, its yield, and the gross harvest of seeds globally and in Ukraine over an extended period, and to establish Ukraines position in the global production of the crop under the conditions of military aggression by the Russian Federation. Methods. The research employed comparative methods, synthesis, and the analysis of digital data. Results. The analysis of statistical data and contemporary scientific publications enabled the examination of the dynamics of soybean cultivation areas and its yield both globally and in Ukraine, as well as establishing Ukraines position in the global production of the crop seeds. The regions in Ukraine with the maximum cultivated area of soybeans, yield, and gross harvest of its seeds were identified. Conclusions. In 2023, the global leaders in soybean production were Brazil, the United States, and Argentina, which collectively produced 318.344 million tons, accounting for 81% of total global production. Ukraine held the ninth position in the global ranking with a 1% share of total soy production, amounting to 5.2 million tons. In Ukraine, the largest soybean cultivation areas in 2023 were in Poltava (214.3 thousand hectares), Khmelnytskyi (210.6 thousand hectares), Zhytomyr (147.4 thousand hectares), Vinnytsia (139.9 thousand hectares), and Kyiv (138.7 thousand hectares) regions, together accounting for 46.4% of the soy cultivation areas in the country. The highest soybean yields in 2023 were recorded in the Ivano-Frankivsk region at 3.37 tons/ha, Lviv at 3.17 tons/ha, Ternopil at 3.01 tons/ha, and Zakarpattia at 2.93 tons/ha, with the national average being 2.59 tons/ha.

Study of Land's Carrying Capacity on The Availability and Need For Staple Foods in The City of Mataram

Increasing the area of rice fields, harvest area, planting area, rice productivity and rice production can increase the availability of staple foods. This aims of this study 1) to analyze the carrying capacity of agricultural land in supporting food security in Mataram City. 2) to determine the availability and need for staple food (rice) in Mataram City. The research method used quantitative descriptive methods using secondary data from the Central Statistics Agency of City of Mataram and other related agencies in Mataram City in 2023. Data was analysed using land carrying capacity analysis and analysis of the availability and demand for rice in the City of Mataram. The results of the research showed that 1) the carrying capacity of agricultural land in the City of Mataram is 0.0231 or less than 1, meaning that the need for rice in the City of Mataram has not been able to be met from the existing agricultural land area and the current rice production, 2) The availability of rice in the City Mataram in 2023 is 13,510.83 tonnes, while the demand for rice is 67,980.76 tonnes, resulting in a shortage (deficit) of rice demand of 54,469.93 tonnes or a deficit in rice availability of 400%.

White-tailed deer population dynamics in a multipredator landscape shaped by humans.

Large terrestrial mammals increasingly rely on human-modified landscapes as anthropogenic footprints expand. Land management activities such as timber harvest, agriculture, and roads can influence prey population dynamics by altering forage resources and predation risk via changes in habitat, but these effects are not well understood in regions with diverse and changing predator guilds. In northeastern Washington state, USA, white-tailed deer (Odocoileus virginianus) are vulnerable to multiple carnivores, including recently returned gray wolves (Canis lupus), within a highly human-modified landscape. To understand the factors governing predator-prey dynamics in a human context, we radio-collared 280 white-tailed deer, 33 bobcats (Lynx rufus), 50 cougars (Puma concolor), 28 coyotes (C. latrans), and 14 wolves between 2016 and 2021. We first estimated deer vital rates and used a stage-structured matrix model to estimate their population growth rate. During the study, we observed a stable to declining deer population (lambda = 0.97, 95% confidence interval: 0.88, 1.05), with 74% of Monte Carlo simulations indicating population decrease and 26% of simulations indicating population increase. We then fit Cox proportional hazard models to evaluate how predator exposure, use of human-modified landscapes, and winter severity influenced deer survival and used these relationships to evaluate impacts on overall population growth. We found that the population growth rate was dually influenced by a negative direct effect of apex predators and a positive effect of timber harvest and agricultural areas. Cougars had a stronger effect on deer population dynamics than wolves, and mesopredators had little influence on the deer population growth rate. Areas of recent timber harvest had 55% more forage biomass than older forests, but horizontal visibility did not differ, suggesting that timber harvest did not influence predation risk. Although proximity to roads did not affect the overall population growth rate, vehicle collisions caused a substantial proportion of deer mortalities, and reducing these collisions could be a win-win for deer and humans. The influence of apex predators and forage indicates a dual limitation by top-down and bottom-up factors in this highly human-modified system, suggesting that a reduction in apex predators would intensify density-dependent regulation of the deer population owing to limited forage availability.

A Multi-Criterion Evaluation Process for Determining Cost-Effective Harvesting Systems in Fragmented Boreal Forests

Nordic forests, like those found in Canada, used to consist of large and relatively homogeneous mature stands. Such a spatial pattern allows for harvest operations to be highly concentrated, minimizing procurement costs. However, the growing fragmentation of these forests makes planning difficult and increases the costs of road building and machinery relocation. While operational solutions have been developed in regions with small harvest areas, their transferability to different settings is unknown. Finding the most suitable combination of equipment for a given context is challenging considering the multitude of possibilities. The objective of this study is to identify, from all possible options, a subset of harvest systems expected to perform well in fragmented boreal forests. The results from this research are two-fold. First, a comprehensive review of forest machines and harvest systems is provided. Second, a multi-criteria decision analysis (MCDA) methodology is proposed to evaluate the alternatives. In a boreal forest context, the conventional harvester-forwarder system (CTL) was ranked among the best solutions, along with mild adaptations of the usual configurations. Several whole-tree (WT) system configurations were also highly ranked. While the results are specific to the case studied, the review and selection methodology can serve in different operational contexts.

Postharvest evaluations of soil erosion, ground cover, and best management practice implementation on integrated biomass and conventional clearcut harvest sites

As demand for wood energy rises, it’s vital to understand the environmental impact of various harvest types, considering different best management practices (BMPs) and site conditions, for sustainable forest management. This study provides a comparative analysis of postharvest site characteristics between biomass and conventional harvest sites located in the Coastal Plain region of the southeastern US. A total of 30 recently harvest sites (15 each for biomass and conventional) were selected from the Coastal regions of Alabama, Georgia, and Florida. Erosion rates were estimated using the USLE-Forest method and ground cover was assessed as a percentage of the area covered by bare soil, litter, light slash, heavy slash, and piles. BMP implementation (%) was based on state-specific BMP surveys. The findings show that stream management zones (SMZs) and harvest areas were less prone to soil erosion, while forest roads, skid trails, and stream crossings were more prone to erosion, regardless of the harvest type. Conventional harvest sites had an overall weighted average erosion rate of 0.35 Mg/ha/year, with an average BMP implementation of 92.70 %, while biomass harvest sites had an overall weighted average erosion rate of 0.22 Mg/ha/year, with an average BMP implementation rate of 97.91 %. Average erosion rate (Mg/ha/year) from the harvest area (biomass=0.11, conventional=0.06) and SMZs (biomass=0.05, conventional=0.02) were not significantly different (p>0.05). Conversely, average erosion rate from roads (biomass=4.17, conventional=6.44), skid trails (biomass=2.15, conventional=3.73), decks (biomass=0.39, conventional=0.72), and stream crossings (biomass=1.53, conventional=5.31) were significantly higher in conventional harvest sites (p<0.05). BMP implementation rates for roads (biomass=98.09 %, conventional=93.71 %), stream crossings (biomass=95 %, conventional=71 %), and timber harvest (biomass=96.44 %, conventional=93.33 %) were significantly higher in biomass harvest sites, while waste management BMP (biomass=89.91 %, conventional=100 %) was significantly higher in conventional harvest sites. Regarding ground cover, conventional harvest sites had significantly larger areas covered by light slash, heavy slash, and piles than biomass harvest sites, while biomass harvest sites had significantly larger areas covered by green growth. Our research shows a significant negative correlation between overall BMP implementation and erosion rates (r=-0.67, p=0.0002), as well as site size (r=-0.38 p=0.0400), indicating that larger sites tend to have lower BMP implementation and increased erosion risk. In conclusion, biomass harvest sites in our study did not yield higher erosion rates in comparison to conventional harvest sites, provided that the current BMP recommendations were implemented properly and in adequate amounts. This study emphasizes the importance of site-specific management strategies to mitigate erosion in all harvest sites, irrespective of harvest type used.

ANALISIS POTENSI PAKAN SERTA INDEKS DAYA DUKUNG WILAYAH TIGA KECAMATAN DI KABUPATEN MAGELANG TERHADAP PENGEMBANGAN TERNAK SAPI PERAH

Magelang Regency is a district with an area of 1.085,73 km2 with an agricultural land area of 78,897 Ha consisting of wetland with 36,974 Ha and dryland with 41,923 Ha. The total population of dairy cattle in Magelang Regency is 503, while the need for milk reaches 8.184,61 liters/year. This research aims to find out and provide information regarding the potential amount of forage availability and the regional carrying capacity index in supporting the development of dairy cattle. The data collection method used is a survey method with samples taken from Grabag District, Sawangan District, and Ngablak District with data consisting of the identity of livestock ownership, number and type of livestock owned, origin of feed, and kind of feed used, as well as harvest area. The data analysis method that is used is descriptive analysis. The results of the research show the potential of agricultural products in 2021 consisting of waste products from corn straw, peanuts, sweet potatoes, and cassava in Ngablak District, Sawangan District, and Grabag District is 796.962 tons, the potential for natural forage is 16.638,6 tons, the carrying capacity of dairy cattle is 2.892,3 ST, the Carrying Capacity Index (IDD) is 2.273,6 and this is included in the safe criteria which still has great potential to be used as a dairy cattle development area.

Changes in climate attributes and harvest area structures jointly determined spatial-temporal variations in water footprint of maize in the Beijing-Tianjin-Hebei region

Irrigation contributes significantly to boosting crop yield and ensuring food security. However, in the Beijing-Tianjin-Hebei (BTH) region, unsustainable irrigation practices have led to serious outcomes on freshwater resources. Balancing irrigation with crop productivity in this region, currently facing complex challenge, requires a comprehensive understanding of its spatial pattern and thus to seeking for potential optimization of current crop structures. In this study, we employed the concept of water footprint (WFP) to assess the spatial-temporal patterns of water footprint for maize in BTH region at the county level for the years 2005, 2010, 2015, and 2020, untangled the relative impacts on WFP from climate attributes and harvest area structures. Our results showed significant regional heterogeneities in both blue water requirement and green water requirement, ranging from 64.6 mm to 290.7 mm. Yearly anomalies of climate attributes and maize harvest jointly influenced water footprints, with the highest value of 1.06 × 1011 m3 occurring in the year 2015. The green water footprints, linked to precipitation, dominated the total water footprint compared to the blue water footprint associated with irrigation. Additionally, we observed an increasing influence of maize harvest area on the temporal changes in water footprints, with these changes becoming more concentrated in the east-central region over time. Our findings underscore the respective contributions of annual climate attribute changes and harvest area variations at the county level, highlighting regions where urgent interventions are required to enhance the sustainability of water usage for agriculture.

Disease Incidence of Bacterial Pustules (Xanthomonas axonopodis pv. glycines) on Some Soybean Varieties Planted in Mahogany Agroforestry System in Alas Bromo Forestry

Abstract Soybean production in Indonesia needs to supply for domestic needs sufficiently. One of the things that influence is the reduction of soybean harvest areas in Indonesia. One of the solutions to the problem is through extensification by utilizing land under shade, which is called an agroforestry system. Agroforestry systems will change intercrop environmental conditions such as reducing light intensity, temperature and increasing humidity. The condition will affect disease development in soybean plants, especially bacterial pustule disease caused by Xanthomonas axonopodis pv. Glycines. X. axonopodis bacteria can reduce soybean productivity by up to 57.61% in susceptible hosts and favorable environmental conditions. In this research, observations were made regarding the symptoms and incidence of bacterial pustules infection on seven varieties under the shade of mahogany. The varieties used were Anjasmoro, Argomulyo, Dena-1, Dena-2, Denasa-1, Denasa-2, and Devon-1. The research was conducted for three months at KHDTK (Kawasan Hutan dengan Tujuan Khusus) Alas Bromo, Karanganyar, Central Java, Indonesia. The research showed that the lowest incidence of bacterial pustule occurred in the Anjasmoro varieties, with an incidence value of 0%. In comparison, the highest incidence of attacks occurred on the Denasa-1 variety, up to 23.3%.

Assessing the Quality of Shellfish Harvesting Areas: The Case of the Oualidia and Sidi Moussa Lagoons in Morocco

Assessing the Quality of Shellfish Harvesting Areas: The Case of the Oualidia and Sidi Moussa Lagoons in Morocco

Assessment and Optimization of Rainwater Harvesting Potential for Urban Sustainability: A Case of Lahore

This study employs a multi-criteria decision analysis method utilizing Geographic Information System (GIS) to pinpoint appropriate locations for rainwater harvesting (RWH) structures, to fulfill water demand in Lahore, Pakistan. Data from satellite imagery, soil composition, climate, and digital elevation models (DEM) were integrated into GIS layers and amalgamated to establish a ranking system. This ranking system was then employed to identify suitable areas for rainwater harvesting. Thematic layers, encompassing variables such as rainfall, land use/land cover, soil type, slope, runoff depth, drainage density, and stream order, were combined into a comprehensive overlay, resulting in a map delineating RWH suitability. The outcomes revealed that based on Average Annual Rainfall, 1.44% of the study area is classified as 'very highly suitable,' while 5.67% is designated as 'highly suitable.' Conversely, 24.54% of the region is labeled as 'moderately suitable.' Additionally, 65.44% of the region, situated in the east and southeast, exhibits 'low suitability,' and 2.91% is deemed 'unsuitable.' The findings of this research are poised to foster the broader adoption of RWH in the Lahore region to meet water demands. Furthermore, the developed methodology holds adaptability for implementation in other regions or countries.

Global Warming and Biodiversity Conservation Adaptation Technique in Khageri Watershed, Chitwan

This paper analyzes the land use and land suitability analysis of Khageri watershed in Chitwan. Nepal has been experienced water scarcity in dry season and flood inundation in monsoon. Khageri watershed is the source of water for west Chitwan irrigation and it also this area is rich biodiversity area. This area covered 67.2 percent of jungle in 2024 and that was 74.5 percent in 1999. The study utilized secondary map data sources like Google Earth Pro, USGS, FAO, and ARCMAP 10.8., and eight parameters were used to analyze land suitability analysis. There were 219 small locations found suitable for water harvest areas. Out of which, ten majors’ locations have been chosen and further analysis with 5-meter earth dams assumed and they were extended. The extended ten locations cover 712 hectors of land, and they can harvest 24,760,930 cubic meters of water.

Multi-source remote sensing big data mining reveals cross-regional correlation between aquaculture and Enteromorpha disaster outbreaks

ABSTRACT Marine aquaculture is one of the most important marine resource utilization types, widely distributed in seashore areas. Because mass marine aquaculture development will lead to the eutrophication disaster of macroalgae blooms (green tide), it is imperative to discover the latent relationship. Inspired by the big data analysis theory, the spatiotemporal correlation change in 2017 and 2019 of the marine aquaculture and macroalgae blooms in Jiangsu Shoal in the West of the Yellow Sea and its adjacent seas were monitored and extracted respectively based on multi-source remote sensing images. Through optical and Synthetic Aperture Radar (SAR) images, the imaging characteristics of marine aquaculture in different growth cycles and sea conditions are analyzed. The relationship between the green tide and marine aquaculture harvest was explored from the early green algae distribution and spatiotemporal distribution changes. The earliest harvest area of marine aquaculture is the exact location of the outbreak of green tide. Along with the rapid reduction of aquaculture area, the distribution range of green tide gradually increased. The two showed opposite trends through many multi-source remote sensing data statistical analyses. Therefore, they have a strong correlation, which can be utilized to offer a significant value for the balance of marine environmental protection and resource development.

Allotendoplasty in Treatment of Habitual Patella Dislocation in Adults

Background. Habitual dislocation of patella is a congenital disease that manifests in early childhood or adolescent age and requires surgical treatment. In case this condition has not been rectified timely, the congenial patellar luxation develops the properties of a habitual dislocation accompanied by pain syndrome and osteoarthrosis development in the patellofemoral and knee joints. In most cases reconstructive surgery is used for this disease treatment; it is aimed at the strengthening of the knee joint interval compartment, with the formation of a fibrous graſt or a vertical strip of it, which are moved to the knee joint outside compartment and fixed to adjacent tissues with sutures. However, such surgery is possible only in case of preserved anatomic structures of the knee medial compartment. In adult patients, aſter multiple patellar dislocations, the interval joint capsule and medial aponeurosis lose their normal structure, become weakened, strained, and loose. That is why the patient’s own tissues from that area cannot be used for reconstructive surgery.The purpose of the study is to develop the new low-traumatic method of treatment for habitual dislocation of kneecap in adult patients to ensure its reliable stabilization as related to the joint surface on distal femoral epimetaphys, and to prevent patella dislocation relapse.Material and methods. Surgery technique consists of the lateral release of knee joint, mobilization of patellar ligament and its excision together with the fragment of tibial tuberosity osseous. On 1.5–2.0 cm medially from the area of own patellar ligament harvesting in tibia epimetaphys, the new bed with the similar form and shape is formed, and the excised tibial tuberosity fragment with patellar ligament is introduced there and fixed with a Cancellous screw.The area of own patellar ligament harvestingis filled up with autogenous osseous tissue taken from the medial part of tibia epimetaphys when forming the new bed for the excised tibial tuberosity fragment. Transversal tunnelis formedin the quadriceps tendon above the patella; allotendonis pulledvia this tunnel. The allotendon ends are sutured together, thus forming the duplication, analogous to the ligament, and fixit, stretched to “pes anserinus” of the shin onits anterior-interior surface.Conclusion. The new technology of allotendoplasty for the treatment of habitual kneecap dislocation in adult patients facilitates the surgical technique, additionally strengthens medial compartment tissues of the knee, reliably stabilizes the patella as related to its joint surface on distal femoral epimetaphys, eliminates patella dislocation relapse, normalizes the knee and patellofemoral joints functioning by preventing osteoarthrosis progression in them.

A BINARY ANALYSIS OF FACTORS INFLUENCING CONSUMERS’ PREFERENCE BETWEEN RAW AND MIXED MONSONIA BURKEANA (SPECIAL TEA) IN THE CAPRICORN DISTRICT MUNICIPALITY

This paper assessed the consumer preference between raw and mixed Special tea as well as the factors influencing consumer preference. A snowball sampling approach was used to select 225 respondents from the Capricorn District Municipality. Descriptive statistics and the Binary logistic model were used to analyse the collected data. The results show that most of the consumers are not willing to pay for an already prepared Special tea (69.3%). Most of the consumers preferred raw Special tea (51%) over mixed Special tea (49%). The binary logistic regression results revealed that willingness to pay for raw and mixed Special tea, accessibility of special tea, level of satisfaction in using the tea for health reasons and access to medicinal plants market were found to influence consumer preference. The study recommends the importance of having access to special tea either through established markets or protected areas for harvesting.

Policy governance in the plantation sector: Challenges and impacts of palm oil in Riau Province, Indonesia

This study aims to examine and challenge the impact of local government policy governance on the oil palm plantation sector in Riau Province, Indonesia. It was discovered that 1,628 million hectares of illegal oil palm plantations are located within forest areas. Plantation area and crop harvest areas are declining due to the increase in damaged old plants, low productivity of plantation crops, inadequate facilities and infrastructure conditions, low technology application, plantation business licensing, limited downstream plantation industry and marketing, assistance in changing the attitudes, behavior, and skills of farmers. The methodology used was exploratory qualitative to explore this topic, and the determination of research topics was conducted using Biblioshiny application analysis. Then, the data was analyzed using Nvivo 12 Plus software. The results of this study discovered that the policy governance of the oil palm plantation sector as a leading commodity in Riau Province, Indonesia, is influenced by three dimensions: firstly, the actor dimension; secondly, the structural dimension; and third, the empirical dimension of governance. This research contributes as a knowledge reference to oil palm plantations.