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The Sundarban mangrove or tidal influenced natural ecosystem is extremely productive and providing multiple goods and services to millions of people. In the last few decades, the quality and quantity of mangrove ecosystem are being deteriorated. The main objectives of this current research are (i) to investigate the ecosystem service values (ESVs) using a time series satellite data (1975, 2000 and 2020) and different unit values (ii) to analyze the dynamic pattern of carbon sequestration through InVEST model and (iii) determination of ESVs change hotspots by Getis-Ord Gi * method. Here, mangrove forest has the highest ecosystem service value and highest carbon sinker. The total loss of ESVs was estimated 3310.79 million USD during last 45 years in Sundarban Biosphere Reserve (SBR) due to high natural and anthropogenic adversities. InVEST model also revealed that the total static carbon storage over the study area was 48.87, 46.65 and 43.33 Tg for the year 1975, 2000 and 2020 respectively. Total 6313944 mg/6.31Tg loss of carbon has been observed in the case of mangrove forest during the overall study period (1975–2020). So, illegal human encroachment should be strictly (through law and regulations) restricted within Sundarban mangrove ecosystem for the benefits of people.

The global economic activities were completely stopped during COVID-19 lockdown and continuous lockdown partially brought some positive effects for the health of the total environment. The multiple industries, cities, towns and rural people are completely depending on large tropical river Damodar (India) but in the last few decades the quality of the river water is being significantly deteriorated. The present study attempts to investigate the river water quality (RWQ) particularly for pre- lockdown, lockdown and unlock period. We considered 20 variables per sample of RWQ data and it was analyzed using novel Modified Water Quality Index (MWQI), Trophic State Index (TSI), Heavy Metal Index (HMI) and Potential Ecological Risk Index (RI). Principal component analysis (PCA) and Pearson’s correlation (r) analysis are applied to determine the influencing variables and relationship among the river pollutants. The results show that during lockdown 54.54% samples were brought significantly positive changes applying MWQI. During lockdown, HMI ranged from 33.96 to 117.33 with 27.27% good water quality which shows the low ecological risk of aquatic ecosystem due to low mixing of toxic metals in the river water. Lockdown effects brought river water to oligotrophic/meso-eutrophic condition from eutrophic/hyper-eutrophic stage. Rejuvenation of river health during lockdown offers ample scope to policymakers, administrators and environmentalists for restoration of river health from huge anthropogenic stress.

Food security, carbon sequestration, and ecosystem stability are all impacted by soil health and sustainability, two of the key components of agricultural and global environmental resilience. Using Dimensions-AI as a primary database and VOSviewer for network visualization, we present a thorough bibliometric visualization of soil health and sustainability research conducted between 1990 and 2024. The article traces the evolution of scholarly contributions to this topic over the past 34 years, highlighting significant research patterns, significant writers, preeminent universities, and theme clusters that have influenced the discipline. Sustainable Soil Management, Soil Quality and Resilience, Regenerative Soil Practices, and Soil Health and Sustainability are some of the major thematic keywords that are used in the study to discuss this trend. According to the findings, scientific output increased, especially after 2000. Research on regenerative agriculture, soil microbiome, climate resilience, and precision agriculture saw particularly rapid increases in output. With connections to remote sensing, sustainable science, and artificial intelligence (AI) in soil monitoring, keyword co-occurrence analysis gives a boost to the expanding interdisciplinary elements of soil research. Citation network analysis reveals the primary aggregating publications and cooperative research networks driving innovation in soil sustainability. In terms of new themes, knowledge gaps, and signs of potential future approaches, such a study helps provide additional insight into the direction that soil health research is likely to follow. The findings support a valuable strategic tool for practitioners, academics, and policymakers working to scale up conservation tactics in sustainable land management through improved soil health.

In the recent years, ground water vulnerability or more specifically contamination of unconfined aquifer has been intensified due to multiple reasons. A GIS-based DRASTIC model was used for assessment of groundwater vulnerability on upper Dwarakeshwar river basin, India. Seven intrinsic hydro-geological parameters like depth of water table, net recharge, aquifer media, soil media, topography, the impact of vadose zone and hydraulic conductivity were considered to assess the magnitude of vulnerability. Different weights and ratings were assigned according to their relative significance and successfully running of the model. Data were collected from 34 different locations within the basin and DRASTIC Vulnerability Index (DVI) was applied to identify the ground water vulnerable zones. DVI values show the range from 90 to 170 and it was classified into five zones such as very low, low, moderate, high, and very high, respectively. Here, ArcGIS 10.4 software was used to design the various digital thematic maps. The GIS analysis shows that around 1.18%, 11.87%, 60.93%, 23.41%, and 2.61% areas fall under very low, low, moderate, high, and very high vulnerable zones respectively. Statistical analysis such as single parameter sensitivity analysis and map removal sensitivity analysis show that the depth of water table is the most sensitive parameter for groundwater contamination in the study area. Validation of this model was checked by K+ concentration in the groundwater sample of the study area which indicates very high correlation (R2 = 0.94) with the DRASTIC vulnerable zones. The overall analysis indicates that the near-surface aquifers are most vulnerable to the contamination in upper Dwarakeshwar river basin area. This scientific study will definitely assist to the regional planners and policy makers for sustainable ground water development and management.

The sudden lockdown recovers the health of the total environment particularly air and water while the country’s economic growth and socio-cultural tempo of people have been completely hampered due to the COVID-19 pandemic. Most of the industries within the catchment area of river Damodar have been closed; as a result, significant changes have been reflected throughout the stretch of river Damodar. The main objective of the study is to analyze the impact of lockdown on the water quality of river Damodar. A total of 55 samples was collected from eleven different confluence sites of nallas with the main river channel during and pre-lockdown period. The relevant methods like WQI, TSI, Pearson’s correlation coefficient, and “t” test have been applied to evaluate the physical, chemical, and biological status of river water. The result of “t” test indicated that there are significant differences ( α  = 0.05) of each parameter between pre and during lockdown. Water quality index (WQI) is used for analysis of drinking water quality suitability followed by BIS. The values of WQI showed “very poor” (S1, S2, S3, S6, S7, and S11) to “unfit for drinking” (S4, S5, S8, S9, and S10) of river water during pre-monsoon season. The nutrient enrichment status of the river was analyzed by Trophic State Index (TSI) method and it shows the “High” eutrophic condition with a heavy concentration of algal blooms in almost an entire stretch. During lockdown, nutrient supplies like TN and TP have been reduced and is designated as “Low” (S1, S2) to “Moderate” (S3 to S11) eutrophic condition of middle stretch of Damodar. This research output of river Damodar will definitely assist to policy makers for sustainable environmental management despite the dilemma between development and conservation.

The unprecedented nature and scale of the COVID-19 pandemic resulted in mass lockdowns around the world, and millions of people were forced to work remotely for months, confined in their homes. Our study was aimed at understanding how pandemic-imposed remote work arrangements affected millennial workers in India. With signs of the pandemic slowing down, but with the likelihood of organizations retaining some of these work arrangements, the paper also explores how these are likely to affect the future of work, and the role that organizations and leaders have in managing the workforce in the 'new normal'. The study follows an interpretivist paradigm and qualitative research approach using the narrative method as a key research strategy. The data was collected using in-depth interviews from Indian millennial respondents employed in both private and government sectors. The findings show a kind of work-life integration for the workers as a result of the pandemic-imposed remote work arrangements. This integration has been caused by four different types of issues that have also emerged as four major themes which have resulted in a further 10 sub-themes. The four major themes identified in this research are Managerial Issues, Work Issues, Logistical Issues, and Psychological Issues.

A Swedish teenager, Greta Thunderberg, has become the poster girl for the Climate Change and Sustainability movement across the world. All of 16 years, she has been nominated for the Nobel prize and has been on the cover of Time Magazine as one of the 100 most influential people in the world. Greta personifies and symbolizes zeners, who are nothing like any previous generation the world has ever seen. These pre-teens teens are unique, world changers and perhaps the only hope for this planet. Yet, if not nurtured, they are at the risk of being lost due to the ignorance of institutions and individuals.The Life of Z packs extensive real-life narratives and thought provoking analysis to help us understand this generation born 2000 and after to engage with them for a better future for them and for all of us.

Various developmental projects and economic actions such as mining, industries, urban expansion, and agricultural activities contribute toxic heavy metals into the soils and it adversely affects to human health and broadly the environment. For the scientific study (coal mining region of Eastern India) around 120 soil samples were collected from top (0 – 20 cm) and subsurface soil (20 – 50 cm) of coal mining, semi mining and non mining type of land use sites to assess ten heavy metals applying standard methods and indices for the assessment of pollution load and human health risk. Statistical analysis clearly indicated that Fe, Mn, Zr are the most dominantly distributed in the study region. Coefficient of variance (CV)showed that there was very less variation in the metal values among samples of any particular landuse site. Correlation coefficient (0.05% level of significance) depicts that metals were very strongly correlated with each other in every site of Neturia block. Igeo (Geo- accumulation index) values of Fe and As indicated moderate to low pollution in the topsoil of study area. It is because of their regional background value. Enrichment Factor (EF) also showed thatcontamination of Fe ismainly supplied by natural factors (EF < 2)i.e., weathering of parent rock in all over the study area. All other heavy metals indicated their anthropogenic sources (EF > 2)on top and subsurface soil both of three landuse site. Degree of contamination (Cdeg), modified degree of contamination (mCdeg), contamination factor (CF) and pollution load index (PLI) clearly suggest that topsoil of coal mining sites is most polluted than two other sites. Subsurface soil of mining sites also indicated comparatively higher pollution load than subsoil of semi mining or non mining sites. PLI values have been classified into four groups i.e., high pollution (> 6), medium pollution (6 -3), low pollution (3 – 1) and no pollution (< 1) zone. There was no PLI value < 1 in topsoil of the study area. But subsurface soil of non mining site indicated no pollution to the soil. Spatial mapping using Inverse Distance Weightage (IDW) on Arc GIS 10.4 software showed clear variation of metal concentration and pollution load to the top and subsoil of the study area. Human health risk of non – carcinogenic typeisdue to heavy metals intake of topsoil through three exposure pathwaywhich indicates the health risk of HI dermal > HI ingestion > HI inhalation for both the adult and children. Mean values of total HI showed that children are more prone to health risk in comparison with adult. There was no soil sample that exceeds its HI values > 1 for adults and thus no obvious health risk was found from soil heavy metals for adults.On the other hand, topsoil of mining sites indicated HI values >1;therefore, children are prone to health risk in this site. The present investigation suggests that coal mining region is highly polluted by their heavy metal burden on soil. Industrial and semi urban areas of semi mining region are also affected by heavy metal dust to its soil. Agricultural activities in non-mining region indicated lower pollution than other landuse sites. Remedial measures are highly needed to control heavy metal pollution of different landuse sites at colliery region to sustain environmental quality and human health as well. Modern scientific technologies and public awareness should be very useful on this way.

Globally, it is established that the partial lockdown system assists to improve the health of the total environment due to inadequate anthropogenic actions in different economic sectors. The ample research on fitness of environment has been proved that the strict imposition of lockdown was the blessings of environment. The river Damodar has historical significance and lifeline for huge population of Jharkhand and West Bengal state of India but in the recent years the water quality has been deteriorated due to untreated industrial effluents and urban sewage. The main objective of this study is to examine the water quality of river Damodar during and prelockdown phase for domestic use and restoration of river ecosystem. A total of eleven (11) effluent discharge sites were selected in prelockdown and during lockdown phase. A new approach of water quality assessment, i.e., water pollution index (WPI) has been applied in this study. WPI is weightage free, unbiased method to analysis of water quality. The result shows that the physical, chemical and heavy elements were found beyond the standard limit in prelockdown period. The cation and anion were arranged in an order of Na 2+  > K +  > Ca 2+  > Mg 2+ and Cl −  > So 4 −  > No 3 −  > F − in both the sessions. WPI of prelockdown showed that about 100% water samples are of highly polluted. WPI of lockdown period showed that around 90.90% samples improved to ‘good quality’ and 9.10% of samples are of ‘moderately polluted.’ Hypothesis testing by ‘ t ’ test proved that there was a significant difference ( ρ  = 0.05%) in values of each parameter between two periods. Null hypothesis was rejected and indicated the improvement of river water quality statistically. Spatial mapping using Arc GIS 10.4 interpolation (IDW) helps to understand spatial intensity of pollution load in two periods. This research study should be helpful for further management and spatial diagnosis of water resource of river Damodar.