Fallow Land Research Articles

The impact of long-term organic horticultural systems on energy outputs and carbon storages in relation to extreme rainfall events

Enhancing resilience of agroecosystems of Mediterranean area is a challenge that involves both researchers and different stakeholders and, in this context, increasing crop diversity by redesigning agricultural systems can be considered among the most important tools. Therefore, the response of agroecological practices to climate change effects was tested in a long-term experiment on organic horticultural crops (MITIORG), which is characterized by a soil hydraulic arrangement in ridges, strips and the use (with different management options) of cover crops within cash crops rotations. The main objective of this study was to show how powerful is the sustainability assessment of agroecological practices by converting crops yield and biomass into energy outputs and carbon storages, in diversified horticultural systems. The obtained outputs (expressed in energy and carbon equivalents) were evaluated and analyzed considering the site-specific meteorological data in more than 10 horticultural cropping cycles, from autumn-winter 2014-15 to autumn-winter 2020-21. The Ridge and Strips (RS) system 1 (RS1 - cover crops as living mulch on ridges and break crops in strips, both with no-till termination) showed an enhancement of about 18% of energy output and carbon (C) storages compared to RS2 (ridges and strips with green manured cover) when extreme precipitation events occurred. Moreover, RS3 (ridges and strips without cover crops) recorded a reduction of about 5 and 9% of energy output and C storage, respectively, compared to the mean of RS1 and RS2 in periods with extreme events. Our results highlighted that using more diversified agroecological systems improved their overall average outputs, ensuring greater resilience during extreme weather events, since at least part of crop productions was safeguarded. Therefore, it is important to combine techniques that allow long-term resilience, such as choosing and well managing cover crops (agroecological service crops), according to site and systems specific conditions.

Study of the natural habitats of the great grasscutter (Tryonomys swinderianus TEMINK, 1827) with a view to its conservation in situ at Sangarédi, Boké prefecture

The Sangarédi area, located in the prefecture of Boké, has vegetation essentially composed of tree and shrub savannah, the natural biotope of the great grasscutter. Today, this vegetation is under serious threat from human activity, with mining companies exploiting large areas, thereby destroying the environment. This state of affairs has contributed to a reduction in the habitat of this animal, which is highly prized by the local population. The aim of the study was to contribute to the identification, location and characterisation of the habitats of the great grasscutter in Lower Guinea, with a view to its conservation in situ. A questionnaire was drawn up and applied to a sample of 260 individuals in 3 selected localities in the Sangarédi sub-prefecture. The results of this study revealed forest galleries and fallow land in which the great grasscutter is found. 54 sites were identified. The existence of the cane rat was confirmed in five (5) habitat types. In situ conservation of natural habitats is one of the safest alternatives for preserving the grasscutter.

Assessment of dyna clue model for prediction of spatio-temporal dynamics of urbanisation and green space in Jaipur district, Rajasthan (India)

Urbanisation in Jaipur, Rajasthan’s capital, has significantly impacted land use and land cover (LULC) over the past four decades. This study addresses the pressing issue of how rapid urban expansion affects green spaces and environmental balance. Utilizing satellite imagery and a support vector machine (SVM) algorithm, LULC maps for 1993, 2003, 2013, and 2023 were generated to analyze changes in land cover, including agriculture, barren land, built-up areas, vegetation, wasteland, fallow land, and water bodies. The Dyna-CLUE model, incorporating variables such as elevation, slope, aspect, and proximity to streams and roads, was employed to forecast LULC changes for 2033 and 2043. The findings reveal a marked increase in built-up areas at the expense of vegetative cover, driven by urbanization, infrastructural development, agricultural expansion, climate change, and policy decisions. With Kappa coefficients indicating high agreement between classified land cover and ground truth data (84–90% accuracy), the study projects continued urban growth and further decline in vegetation. This underscores the urgent need for sustainable land use planning and environmental conservation in Jaipur. Proposed strategies to address these issues include establishing ecological zones, enforcing green building regulations, promoting mixed-use development, and implementing a 15-min green space policy. These measures aim to enhance green space distribution and support Jaipur’s transition towards a greener urban environment.

AN INTEGRATED APPROACH TO IDENTIFY SUITABLE AREAS FOR THE LOCATION OF PUBLIC FACILITIES USING MULTI-CRITERIA ANALYSIS BASED ON GIS AND AHP IN THE CITY OF EL KHROUB, ALGERIA

Random and spontaneous urban growth is the result of massive natural population growth, as it is in all developing countries. As for our study air, it also results from the unloading of the mother city of Constantine to the satellite city of El-Khroub, which gave urbanization the power to take over its vast environment, An uneven distribution of public facilities in the city’s major districts, as well as traffic jams. This work attempted to determine the suitability of urban land for the location of public facilities in the city. It should be noted that land suitability assessment is a major factor in urban planning and management. Our land adequacy assessment is subject to the AHP model, calculating the weighting of various criteria including physical, socio-economic, environmental and urban. The final adequacy analysis revealed the proportion of land most suitable, estimated at 3.52% of the total area, covering mainly fallow land. The results of this study provide a detailed mapping of urban development potential, integrating both existing data and future projections.

Accuracy Assessment of Land Use Land Cover Classification Using Machine Learning Classifiers in Google Earth Engine; A Case Study of Jammu District

Abstract. LULC (Land Use and Land Cover) involves classifying and describing different land types and their usage. Using satellite imagery for LULC mapping is increasing in remote sensing. This study focuses on Jammu district in India, situated between mountain ranges from north and south make it eco-sensitive zone. Expanding of human activity and loss of natural resources make it vulnerable if mismanaged. Study of LULC is important because of it and this study deals with efficiency and accuracy of various machine learning classifiers for LULC. This study uses machine learning classifiers - Random Forest (RF), Support Vector Machine (SVM), Gradient Boosted Trees (GTB), and Classification and Regression Trees (CART) - for the task, leveraging Google Earth Engine (GEE). Sentinel-2 satellite data from January 1 to March 31, 2023, with specific spectral bands (B4, B3, B2 & B8, B4, B3), were used for image preprocessing. Six classes: built-up, water, agricultural land, fallow land, forest, and barren land, each with 100 sample points, were used for classification. After training, the classifiers' accuracy was evaluated using Overall Accuracy and Kappa Coefficient. The results showed RF as the top performer with an overall accuracy of 99.36% and a Kappa coefficient of 99.11%, followed by SVM, GTB, and CART. This highlights the effectiveness of machine learning classifiers, especially RF and SVM, in accurately mapping LULC patterns in Jammu district, suggesting RF's potential as a reliable tool for remote sensing-based LULC mapping.

The impact of technologies for the development and use of virgin, fallow lands on agroecological stability and soil fertility

Relevance. The research was carried out in order to analyze the impact of technologies for the development of virgin and fallow lands on erosion processes in the steppe zone in the 60s and modern conditions.Methods. The analysis of approaches to the prevention of soil degradation and desertification of the territory is carried out based on materials obtained in the steppe zone of the Republic of Khakassia in the second half of the XX century and in modern conditions. We used the results of the application of technologies for the development of virgin and fallow lands of Tselinnoye LLC in different periods. Information about dust storms was taken from data from the Bey and Shire weather stations. In 1954–1960 when plowing the chernozem of the southern virgin lands, technology was used using plows, huskers and other tillage tools. The lack of adapted ways of developing and using new lands has led to an outbreak of wind erosion of soils over large areas, including in the south-east of the country.Results. The dump system of soil treatment during the mass development of virgin and fallow lands in the 60s, without taking into account soil, climatic and other conditions, led to a strong development of wind erosion. The number of days with dust storms in Khakassia reached up to 4.8–11.6 per year. In modern conditions, the removal of highly ventilated soils from arable lands and the use of strip placement of crops and minimal tillage on the rest of the arable land contribute to increasing the erosion resistance of agricultural landscapes. The use of the Tornado 500 herbicide in August during the development of the deposit reduces the erodibility by 2.5 times, compared with the technology with its introduction in early summer.

Assessment of carbon reserves in the litter and soil of the Prilenskoe Plateau

The assessment of carbon stocks in the litter and soil of highly productive forests on the Prilenskoe Plateau was conducted using widely accepted methods of general biology, landscape science and geocryology. The research focused on larch-birch and pine-larch forests situated on continuous permafrost, as well as on long-term fallow lands. Notably, the fallow land, in contrast to the forested areas, exhibited a significant loss of organic carbon from the soil, amounting to up to 83 % within a 30 cm depth due to the exploitation of forest resources. The total organic carbon (TOC) reserves in the forest litter ranged from 17 to 35 kg/m². In the larch-birch forb-lingonberry forest, the TOC reserves in the soil were measured at 19.57 kg/m² for the 0–30 cm layer, 26.79 kg/m² at 1 m depth, and 34.98 kg/m² at 2 m depth. Conversely, in the pine-larch lingonberry forest, these values decreased to 9.28 kg/m², 15.41 kg/m², and 18.91 kg/m², respectively, while in the fallow land, the measurements were 3.37 kg/m², 6.35 kg/m², and 8.91 kg/m². The total inorganic carbon (TIC) reserves in the active layer of the larch-birch forest were found to be 3.46 kg/m², in the pine-larch lingonberry forest 5.81 kg/m², and in the fallow land 4.35 kg/m². The forests of South-Eastern Yakutia represent an essential component of the global carbon reservoir; however, they may lose their nutrient accumulation function under anthropogenic pressures. This study serves as the preliminary phase of a long-term research initiative aimed at systematizing carbon pools in representative permafrost landscapes of Yakutia and elucidating the patterns of carbon variation across diverse natural and climatic zones

Distribution of soil fertility indices in aggregate size fractions under different land-use types for coarse-textured soils of the derived savannah

The research investigated the distribution of soil fertility indices among aggregate-size fractions across three land-use types (forested, cultivated, and fallow lands) for loamy sand at Ede-Oballa, a derived savannah in southeastern Nigeria. Surface soil samples from these land-use types were air-dried and separated into <0.25 mm, 0.25-0.5 mm, 0.5-1.0 mm, 1.0-2.0 mm, 2.0-4.0 mm, and 4.0-8.0 mm aggregates before analyses. There were significant interaction effects of land-use type and aggregate-size fraction on the distribution of soil particle sizes (sand, silt, and clay) and contents of total nitrogen, available phosphorus, exchangeable bases (Mg2+ and Na+), and exchangeable acidity as well as apparent cation exchange capacity (CEC). Land-use type affected soil pH, K+, Ca+, and percent base saturation but not soil organic carbon (SOC), which was rather unevenly distributed among the aggregate-size fractions. The distribution of most fertility indices, those defining CEC, and SOC content favoured >2.0 mm (large), 0.25-0.5 mm and <0.25 mm (micro-) aggregates, respectively, under cultivated land. However, soil total nitrogen and exchangeable acidity contents were best improved in the largest (4.0-8.0 mm) aggregates under forested and fallow lands, respectively. The study highlights the potential of land-use types generally and arable-crop cultivation specifically to engender aggregates of different sizes with specific roles in improving soil quality and fertility.

Flood Susceptibility Mapping Using Analytic Hierarchy Process and Geographic Information System in Baitarani Basin of Odisha, India

Baitarani, the 6th largest river basin in Odisha, eastern India, faces water related challenges in its catchments. As one of the most frequent environmental disasters, floods are consistently cited in hotspots of the eastern region in India. Hence, in this study, flood susceptibility maps were generated for Baitarani River basin by using analytical hierarchy process technique and geographic information system. Eleven thematic maps of topographic ruggedness index, topographic wetness index, stream power index, elevation, lithology, soil, slope, drainage density, distance from drainage network, land use/land cover and normalized difference vegetation index were prepared for flood vulnerability mapping. The themes were assigned suitable weights depending on relative influence of each of the themes on flood risk. The results indicated that 87% of the basin falls under intermediate flood susceptibility zone, while 10% is classified under high flood hazard zone. Areas in the lower elevation catchment, particularly those with flat topography near the coastline, were identified as being highly susceptible to flooding. The impacts of severe flooding in the basin are most pronounced in specific blocks in Jajpur district (Jajpur, Dasarathpur, and Korei blocks), Bhadrak district (Dhamnagar and Bhandaripokhari blocks), and Anandapur block in the Keonjhar district of Odisha. Additionally, changes in land use/land cover during 1995-2020 revealed 8% decline in agricultural land and 13.93% increase in fallow land in the area. The outcomes of this research can help researchers, planners and managers in managing natural resources, find locations that could be vulnerable to flooding, and lessen the damage.

Assessment of the anthropogenic transformation of post-forest vegetation in the village of Guzeripl and its environs (the Republic of Adygea, the Western Caucasus) based on the composition and structure of complexes of dominant species

Definition of the ceno-flora or regional flora in the cenosis, the proportion of species resistant or non-resistant to impacts has become widespread among the methods of indicating disturbances in vegetation cover.However, such studies, if they are conducted on a large spatial scale, require significant time and do not imply spatial detailing of the results. It is suggested that for several reasons it would be useful to use dominant species to solve this problem. The goal of the research is to demonstrate the possibilities of one of the variants of this approach using the example of vegetation of a small settlement (the mountain village of Guzeripl). It consists in studying the composition (level of synanthropization) and structure of species complexes that dominate communities in relatively large visually homogeneous areas of the terrain (0.15–0.2 ha). The results have shown that, on average, the highest level of synanthropization (transformation) is characteristic of dominant complexes of young fallow lands, a lower level of wastelands and roadsides, and a significantly lower level of old fallow lands and hayfields. In general, communities with a moderate degree of disturbance predominate in the study area. The results also indicate that the impact of anthropogenic factors on areas of vegetation leads to changes not only in the composition of dominant complexes, but also in their structure, the parameters of which can be considered as an additional tool for indicating anthropogenic disturbances.

Exploring knowledge and uses of Moringa oleifera and understanding its cultivation constraints and proposed solutions: a case from Bangladesh

Multipurpose trees, like the moringa (Moringa oleifera Lam.), have become extremely popular in an attempt to reduce food, nutritional, and economic instability. The significant benefits of moringa’s leaves, pods, seeds, roots, and flowers are used in a wide range of commercial fields, including medicine, cosmetics, food, animal feed, water purification, and more. We applied a questionnaire-based survey to reveal the uses, problems and solutions related to the knowledge, uses and constraints of moringa in the region of Chapainawabganj and Kushtia districts in Bangladesh. Including the easiest propagation process and the lowest cultivation costs, year-round flowering, and production provide moringa with a wide window of opportunity. Besides using regular pruning of moringa branches, respondents make trees bushy to increase fruit and leaf production. Respondents from both regions opined that moringa has a good market value, increases family income, increases opportunity for fallow land utilization, enhances employment opportunities, and is known as a nutritive and multipurpose tree. We were pleased to find that moringa output regularly exceeded previous production records in Bangladesh from 2014–16 to 2020–21. Furthermore, our survey shows that a 5-year-old moringa tree provides a satisfactory yield per season with its high market price and demand. Despite the extensive use of moringa fruits and leaves by respondents, its commercial potential remains largely undeveloped and unknown to them. Constraints like limited scientific knowledge and technological infrastructure are the reasons why the elusive potential of moringa in Bangladesh persists. There is ample opportunity to enhance moringa production via effective management techniques, which will satisfy community demand and create market opportunities both locally and internationally. As a result, smallholder farmers’ livelihoods and food and nutritional security can be improved.

AN INTEGRATED APPROACH TO IDENTIFY SUITABLE AREAS FOR THE LOCATION OF PUBLIC FACILITIES USING MULTI-CRITERIA ANALYSIS BASED ON GIS AND AHP IN THE CITY OF EL KHROUB, ALGERIA

Random and spontaneous urban growth is the result of massive natural population growth, as it is in all developing countries. As for our study air, it also results from the unloading of the mother city of Constantine to the satellite city of El-Khroub, which gave urbanization the power to take over its vast environment, An uneven distribution of public facilities in the city’s major districts, as well as traffic jams. This work attempted to determine the suitability of urban land for the location of public facilities in the city. It should be noted that land suitability assessment is a major factor in urban planning and management. Our land adequacy assessment is subject to the AHP model, calculating the weighting of various criteria including physical, socio-economic, environmental and urban. The final adequacy analysis revealed the proportion of land most suitable, estimated at 3.52% of the total area, covering mainly fallow land. The results of this study provide a detailed mapping of urban development potential, integrating both existing data and future projections.

Measuring the Ecosystem Services Value of Kalimpong District (West Bengal), India with Respect to Land Use Land Cover Dynamicity

Ecosystem services may be defined as profits human gain from ecosystems and it provided four major categories of ecosystem services like cultural, regulating, provisioning, and supporting service also known as ecological integrity. Ecosystem is the main base for creation of service which is essential for people benefits. In this paper, LULC map of the district are prepared by satellite image landsat-5 for 1991 and landsat-8 for 2021 using ArcGIS 10.3.1 software. The district is characterised by seven categories of LULC like water bodies, build up area, agriculture land, agriculture plantation, agriculture fallow land, social forestry and forest. Forest cover area and agriculture plantation of district were reduced from 1991 to 2021 because forest cover area was 51.47 % in 1991 and 36.94 % in 2021 and area of agriculture plantation was 9.81% in 1991 and 7.49 % in 2021. The LULC map was applied along with coefficient of ecosystem service values of biomes that propounded by Costanza and his group 1997 and 2014 to understand the spatio-temporal transformation in the value of ecosystem service of landscape. The paper represents a total of US$ 3.83 million of ecosystem services was decreased as per Costanza and his group, 1997 and US$ 1.37 million of ecosystem services was increased as per Costanza and his group, 2014 due to LULC transformation from 1991 to 2021. Ecosystem service value of forest cover area was reduced. Coefficient of sensitivity analysis applied to evaluate the reliability of ecosystem service value and finally the output results are more reliable due to the value of coefficient of sensitivity is <1 that indicates inelastic.

Stands diversity and population structure of five ethnoveterinary woody species according to climatic zone and human disturbance in Benin (West Africa)

Farmers continue to use medicinal plants, alone or in combination with veterinary medicines, to treat animal diseases, especially in developing countries. The study aimed to determine the effect of climatic zone and anthropic disturbance level on the diversity of the natural stand and structures of Morinda lucida Benth, Spondias mombin L., Terminalia leiocarpa (DC.) Baill, Crossopteryx febrifuga (Afzel. ex G. Don) Benth, and Vitex doniana Sweet, five plant species often used in ethnoveterinary medicine in Benin. A floristic inventory was conducted in 206 plots of 0.15 ha each, distributed across 6 forests/hunting areas as well as surrounding fields and fallow land. The data were analyzed using R software by calculating the importance value index and the population structural parameters (density, basal area, mean height, etc.). The results showed that the floristic composition of the habitats of the five target species varied by climatic zone and disturbance level. Morinda lucida, S. mombin, and V. doniana were available in stands undergoing heavy disturbance in the Guinean zone, whereas T. leiocarpa and C. febrifuga were more available in the Sudano-Guinean and Sudanian zones. Values of structural parameters of these species were higher in the Guinean zone than in the other two zones. Furthermore, the results of the diameter structure showed C-values ranging from 1 to 3.6, suggesting the predominance of young individuals. This suggests strong human pressure on the adults of studied plants. These results should be used to contribute to the sustainable use of these species. Recommendations are made for the sustainable use of these five species, especially T. leiocarpa and C. febrifuga, which were heavily exploited given their low availability in stands under high human disturbance.

Role of organic amendments in improving the morphophysiology and soil quality of Setaria italica under salinity

Salinity negatively impacts soil fertility by impairing the development and physiological functions of foxtail millet plants. Organic amendments have emerged as a viable solution in the reclamation and management of salinity inflicted soils and improve the performance of crop. In this regard, a pot experiment was carried out to examine the effect of organic amendments (OAs) on soil quality and its influence on the growth and physiology of foxtail millet under saline and non-saline condition. The findings indicated that under salt stress conditions, the levels of proline, hydrogen peroxide (H2O2), and electrolyte leakage (EL) risen, whilst other physiological parameters decrease in foxtail millet. However, the addition of OAs, particularly dhaincha and biochar (BC), has shown a promising salt tolerant amendment among others. Its addition improved the growth performance of salinity-stressed plants, including plant height, fresh and dry biomass, simultaneously decreased sodium ion (Na+) and improved calcium (Ca2+), potassium (K+), and nitrate ion (NO3−). They also increased proline build up by 6–17 %, reduced H2O2 (19–38 %) and malondialdehyde (16–18 %). Furthermore, they elevated the relative water content (RWC) (25 %), chlorophyll content, and reduced EL (29–50 %). Once more, dhaincha and BC enhanced the number of rhizobia, phosphorus-solubilizing bacteria (PSB) and overall bacterial population in the soil. In saline soil, daincha and BC could enhance soil organic matter (628 %), total nitrogen (1630 %), available phosphorus (32–38 %), and exchangeable potassium (54–73 %). A potential strategy for improving setaria italica performance under salt is suggested to be the following order, dhaincha > biochar > vermicompost > duckweed. The study would assist stakeholders in these salinity-prone areas in strategizing the use of OAs to their fallow land for cultivation and agricultural activities.

МОНИТОРИНГ ПОТОКОВ ДИОКСИДА УГЛЕРОДА НА РАЗНОВОЗРАСТНЫХ ЗАЛЕЖАХ В РАЗЛИЧНЫХ ПРИРОДНО-КЛИМАТИЧЕСКИХ ЗОНАХ ЮГА ЗАПАДНОЙ СИБИРИ

The paper reflects the spatial and temporal variability of CO2 fluxes on fallow lands. The aim was to determine the soil CO2 emissions from fallow lands of different ages, taking into account the natural and climatic zones of the south of Western Siberia. The research was carried out in three natural and climatic zones of the Omsk region: steppe, forest-steppe, subtaiga; in each zone, three sites with different age fallow lands were identified: 5-10, 10-20 and older than 20 years. The soil CO2 emission was measured using exposure chambers with determination on a gas chromatograph. When comparing the intensity of CO2 emissions from fallow lands, depending on the natural and climatic zone, it can be noted that in the warm season the maximum level was in the subtaiga zone (on average for May-September 54.1 g of CO2 ∙ m-2 ∙ day-1), followed by the magnitude of flows in the forest-steppe zone (29.4), the minimum It was observed in the steppe zone (25.0). At the same time, the maximum value of the flows was observed in the subtaiga zone in July, in the forest–steppe and steppe zone in June. Younger deposits are characterized by a large amount of soil carbon dioxide emissions compared with older ones: in the subtaiga zone, the average seasonal emission of deposits 5-10 years old is 1.30 times higher than deposits older than 20 years, in the forest–steppe zone, respectively, 1.51, steppe – 1.63 times. The daily dynamics of soil CO2 fluxes has an increased level in the morning and afternoon hours, decreased in the evening and night hours, regardless of the zone.

Land use & land cover dynamics and its relationship with nitrate pollution in groundwater around inactive mine areas using geospatial techniques, SW part of Cuddapah basin, Southern India

Geospatial maps can show how the ineffective operations of inactive mines affect water and aquifer quality. As such, the purpose of this study is to assess the impact of mining and irrigation on the aquifer ecosystem through the evaluation of LULC and slope maps through the application of Landsat 8 OLI/TIRS and DEM data. A total of 50 groundwater samples were prepared from villages in the close proximity to inactive mines during pre and post monsoon periods in 2021. The results of the analysis revealed alarming statistics, that 14% of groundwater samples exceeded the WHO nitrate limit in pre & post monsoon season, indicating a high-risk in the study area. According to guidelines (USEPA, 2014), 34% in pre-monsoon and 26% post-monsoon of samples exceeded the THI levels for adults and children respectively, indicating non-carcinogenic health risks. In addition, 80% of the samples in both seasons exhibited high NPI values, indicating nitrate contamination associated with blue baby syndrome. From the Geospatial analysis the findings from the LULC classification indicate that there has been a significant increase in cropland area from 2016 to 2021 due to changes in forest land, fallow land, and water resources. These problems have been exacerbated by the expansion of cultivated land, which has increased from 71.1 square kilometers in 2016 to 118 square kilometers in 2021, accounting for 13.1% of the total area. This expansion, coupled with elevated water body resource availability, has compounded the nitrate pollution including in intensely irrigated regions. The slope map analysis revealed that the inactive mines occur at low slope, high rainfall areas and these are compounded by runoff from other sources such as domestic and agricultural wastes. For these matters, sealing and remediating these inactive mines is essential so as to prevent further nitrate leakage.

Leveraging machine learning for analyzing the nexus between land use and land cover change, land surface temperature and biophysical indices in an eco-sensitive region of Brahmani-Dwarka interfluve

This present study aims to evaluate land use and land cover changes using five machine-learning algorithms in Google Earth Engine. The performance of these machine learning algorithms was evaluated using user accuracy, producer accuracy, overall accuracy, and kappa coefficient. Additionally, it seeks to understand the evolving pattern of land surface temperature and its correlation with biophysical characteristics in the Brahmani-Dwarka interfluve region from 1991 to 2021. The results demonstrate that RF algorithms outperform other algorithms in terms of performance, with RF algorithms averaging an 86 % overall accuracy and a Kappa coefficient of 0.82, while GTB comes in second with an 85 % overall accuracy and a Kappa value of 0.81. SVM performed moderately, while CART and MD algorithms struggled to perform in this study. The analysis of land transformation from 1991 to 2021 indicates that the stone crushing industry, built-up, and waterbodies have shown an upward trend, while vegetation and fallow land have decreased in their geographical extent. The results of the LST analysis indicated the study area had an LST rise of 8.72 °C over the last 30 years, or 0.29 °C per year, with the stone crushing and mining activities exhibiting the highest increase of 11.67 °C. Further, correlation analysis reveals LST has a highly significant positive correlation with NDBI and NDBaI and a very significant negative correlation with NDVI, MNDWI, and NDLI throughout the study period. The findings emphasize the importance of long-term planning and environmentally friendly development, ensuring responsible stone crushing activities, sustainable techniques, biodiversity conservation, and sustainable utilization of natural resources.

Stability and heavy metals accumulation of soil aggregates under different land uses in the southwest coastal Bangladesh

Agricultural soil contamination is increasing day-by-day and becoming a major problem over the globe. Trace elements accumulation in the bulk soil is frequently documented, however, there is no precise mechanism of their distribution in the different soil aggregates level. We collected twelve composite soil samples from banana fields, fallow land, rice cultivated with pond water (rice field-I), and rice cultivated with rain water (rice field-II). We separated soil samples into four different size of aggregates (4-2, 2–0.25, 0.25–0.053, <0.053-mm) and then, aggregate stability (MWD), soil organic carbon (SOC), and heavy metals content (Pb, Cd, Cr, As, Fe, Mn, Zn, Ni, Co, Cu) in the soil samples were measured with different techniques. Results showed that MWD was higher in the rice-based land use, which was significantly contributed by SOC (p < 0.001). The concentration of Pb, As, Cd, Fe, and Mn were increased, while Cu and Zn concentration were reduced with increasing aggregate size (p < 0.05). In contrast, aggregate size did not influence on Ni and Co accumulation (p > 0.05). Moreover, macroaggregate acted as an accumulator for Fe, Mn, and As, while all the aggregate fractions acted as accumulators for Cu and Zn. Our study indicated that MWD, SOC, aggregate size and composition, and metal species were the controlling factors of trace elements accumulation and distribution in the various sizes of soil aggregates.

Assessment of Landscape Change and its Relationships with Surface Temperature and Geo-spatial Indices during 1992 - 2022 at Haldia Industrial Region, West Bengal, India

Unplanned local development and alterations in Land Use and Land Cover (LULC) are an early alert for towns and cities around the world. The population pressure has resulted in the conversion of natural land into impermeable areas, which has altered the surface energy budget and created microclimatic differences locally. The main objective of the present study is to estimate LULC changes and its relation to increases Land Surface Temperature (LST) in the Haldia Industrial Region (HIR) of West Bengal using multi-temporal Landsat 5 Thematic Mapper (TM) of 1992 and Landsat 8 Operational Land Imager (OLI) of 2022 with 30-m spatial resolution images were obtained from the USGS website. The supervised classification method was applied by using Maximum Likelihood classification (MLC) to classify the satellite images into various LULC classes such as settlement, waterbody, vegetation, agriculture land, and fallow land, respectively. The result suggested an overall increase of settlement area from 13.49 km2 in 1992 to 44.54 km2 in 2022. On the other hand, the agriculture land decreased from 214.26 km2 to 152.34 km2 due to fast urbanization, decline green lands, and expansion of barren lands. The outcome result from LST was exhibited that the LST value has increased 3.77°C during 1992 to 2022 in this study area. The Normalized Difference Vegetation Index (NDVI) was showed a strong negative relationship with LST with a determination coefficient (R2) values found as 0.491 (1992) and 0.356 (2022). The positive determination coefficient between LST with Normalized Difference Water Index (NDWI) was found as 0.0002 (1992), and 0.0417 (2022). R2 values were estimated as 0.174 (1992), and 0.0347 (2022) between LST with Normalized Difference Built-up Index (NDBI) that indicated a positive determination coefficient. The findings enhanced understanding of the relationship between urban LST and LULC in developing an inclusive climate resilience policy and making the HIR more sustainable to the effects of climate change.