Altered Land Use Research Articles

A Comprehensive Review on Plant Disease Vectors and Their Management

Plant disease vectors play a critical role in agricultural productivity and ecosystem health. This comprehensive review explores the intricate nature of these vectors and their role in transmitting major plant diseases, including those of viral, bacterial, and fungal origins. It delves into the mechanisms underlying disease transmission, and the significant factors that influence vector efficiency. The socioeconomic and ecological impacts of these vectors are highlighted, with emphasis on crop yield reductions and ecological imbalances. Traditional and emerging vector management methods, such as chemical control, biological control, cultural practices, genetic engineering, and precision agriculture are examined. The review also addresses the challenges inherent to vector management, including resistance development, non-target effects, environmental factors, and socioeconomic barriers. Future perspectives are offered, emphasizing the need for sustainable strategies, exploitation of emerging technologies, enhanced surveillance, community involvement, policy support, and preparation for forthcoming challenges due to climate change, land-use alterations, and global trade. This extensive review presents a critical resource for stakeholders in plant disease vector management, guiding future research directions and policy-making.

Amazon development and climate change: socioeconomic analysis

The objective of this article was to examine the relationship between municipal socioeconomic development within the nine Brazilian states of the Legal Amazon and the emission of greenhouse gas, CO2e GWP-AR5. The hypothesis tested posited that a higher municipal development indicator would be associated with greater CO2e GWP-AR5 emissions in the atmosphere. The methodological approach comprised two stages: the first involved spatial analysis utilizing a heat map, while the second employed a multilevel model. The results revealed that the impact of municipal development on CO2e GWP-AR5 emissions varied depending on the state. The Legal Amazon region confronts substantial challenges concerning greenhouse gas emissions. Notably, alterations in land use have emerged as the primary contributor to emissions within this area, with deforestation representing a particularly devastating aspect. Effective governance of public policies in the Brazilian Legal Amazon region must promote agricultural practices that embrace sustainable techniques and methods.

Salinity hazard drives the alteration of occupation, land use and ecosystem service in the coastal areas: Evidence from the south-western coastal region of Bangladesh

Understanding the salinity effects on the rural livelihood and ecosystems services are essential for policy implications and mitigations. Salinity-driven modulation in land use and land cover, community traditional occupations, and ecosystem service have been elucidated in the present investigation. The study was carried out in the south-western region of Bangladesh as a representative case using focus group discussions, questionnaire survey, and remote sensing techniques. The findings showed that salinity-induced land use changes seriously threatened ecosystem services, employment and livelihoods. Shrimp farming was found to have replaced the majority of agricultural and bare lands, which led to the poor locals losing their land. The increasing land transformation to shrimp ponds as a coping strategy with salinity was not reported to be a viable option as maximum marginal poor people were unable to run the capital-intensive shrimp aquaculture. Eventually, many rich people occupied the cropland for shrimp farming which forced the traditional farmers and fishermen to leave their job and sell their labor. Many of the traditional services derived from the ecosystems were drastically reduced or got lost. The ultimate effect on the traditional livelihoods of the communities increased vulnerability and reduced resilience. The findings could aid in formulating realistic policies and action for ensuring the future resilience of the community through an appropriate adaptation strategy, such as introducing salinity-tolerant crops and integrated farming to safeguard the interest of the poor farmers. Despite the geographical locality of the study, its implications are global given the identical salinity concerns in other emerging nations' coastal regions.

Future prediction of scenario based land use land cover (LU&LC) using DynaCLUE model for a river basin

Human activities that cause changes to the surface of the Earth lead to alterations in Land Use and Land Cover (LU&LC) which have an impact on biodiversity, ecosystem functioning, and the well-being of humans. In order to comprehend and manage the effects of human activities on the environment, prediction of scenario-based LU&LC in future periods are crucial. Scenario-based predictions of LU&LC provide valuable insights for decision-makers in the sustainable governance of land and water resources. In the present study, the Dynamic Conversion of Land Use and its Effects (DynaCLUE) modelling platform was used to predict future LU&LC for Munneru river basin, India. Using six different user defined scenarios LU&LC change patterns were analyzed in 2030, 2050 and 2080 so as to understand the pressure on the natural resources and to plan sustainable Land Use Planning by preserving the important land use classes. The connection between LU&LC classes and input driving factors was quantified using Binary Logistic Regression (BLR) analysis. The β-coefficient was estimated using LU&LC type as a dependent variable and driving factors as independent variables. The demands of each LU&LC type, spatial policies and constraints, characteristics of each location and land use conversions are used as inputs for prediction of future LU&LC maps. Major conversions in LU&LC observed in this basin from last two decades are the rapid increase in built-up area due to urbanization in the outskirts of cities and towns. The major LU&LC changes projected for the period of 2019–2080 are expansion of built-up area ranging from 42.5% to 88.5%, and a reduction in barren land ranging from 57.3% to 74.5% across all six scenarios in the entire basin. The projected LU&LC maps under different scenarios provide valuable insights that could aid local communities, government agencies, and stakeholders in systematically allocating resources at the local level and in preparing the policies for long-term benefits.

Synchronous long‐term trends in abundance and compositional variability of butterflies in Central Europe

AbstractAnnual insect abundances are determined by short‐term population fluctuations and long‐term trends in community composition. Any assessment of this temporal variability needs long‐term quantitative data on abundances. Here we use museum data (1940–2017) of butterflies and burnet moths from southwestern Germany and central Austria comprising 220,758 records from 155 species, and 55,641 records from 170 species, respectively. We ask whether population fluctuations and long‐term population trends are spatially synchronized across larger spatial distances (>300 km) according to the Moran effect, and whether common trends in community composition and stability exist? Population fluctuations of 85.5% of species jointly occurring in both study regions were positively correlated (mean r = 0.30 ± 0.03). Comparing different time windows, we found different sets of species being in spatial synchrony reflecting temporal changes in butterfly community composition. Mesophilic, habitat generalist, and dispersive species were significantly more synchronized than xerothermophilic, habitat specialist, and sedentary species. Long‐distance travelers were particularly synchronized. In both study regions, species rank orders became less even with time. Stability in community composition increased with time with an ongoing trend to faunal homogenization, but not to species loss. Our study points to global and not to local drivers behind trends in butterfly population fluctuations and compositional stability, in the present case to altered land use and urbanization as major drivers toward synchrony and homogenization. Finally, our data have implications for conservation strategies as they strongly indicate that natural landscape structures are associated with higher faunal compositional variability in comparison to agricultural and urban landscapes.

The Early Medieval Peasant Economy: An Analysis of Archaeological Data from Central Portugal

ABSTRACT This article presents and compares direct and indirect markers of economic and social strategies of peasant communities from two territories in central Portugal. Over the last fifteen years, several archaeological research projects have revealed new data on the settlements and economic strategies of peasant communities between the fifth and the eleventh centuries. These new data revealed much about the daily lives of such communities, the products consumed and their economic activities. Archaeological markers of peasant economic strategies can be approached through direct evidence: remains of productive structures, tools, produce, and material culture. Likewise, indirect markers, such as occupation patterns and settlement layout, help shed light on shifting priorities and alterations in land use. To adequately frame these peasant communities in relation to broader economic scales, it is also necessary to consider the possible relationships between rural settlements and contemporary administrative, political, and religious centres.

The effectiveness of weed control in a threatened plant community: A grassland case study

Habitat loss due to altered land use has resulted in the fragmentation of remnant grasslands, resulting in an increase in the edge to area ratio and a subsequent rise in the risk of weed invasion. Restoration in threatened remnant grasslands focus on spot-spraying high threat herbaceous weeds with herbicides (i.e. weed control) as a dominant management action, but there is limited knowledge about the ecological outcomes of weed control effectiveness in these systems.In this study, we conducted a Before-After-Control-Impact analysis over three years using 32 linear grassland remnants to test whether weed control can improve grassland condition. Our predictions were that weed control would: (i) reduce the cover and health of pervasive exotic perennial grasses (i.e. target weeds), (ii) increase the cover of native plants by removing competition from target weeds, and (iii) not affect native plant richness as any recolonization will likely be from species already occurring in the area of sampling. We also predicted that weed control would shift the cover of ground layer attributes towards levels more appropriate for a grassland in good condition.Our results show that short-term weed control can be effective in reducing the cover and health of target weeds with minimal effects on native vascular plants. Changes in bare ground and litter cover following weed control were dynamic and complementary. A reduction in soil crust cover after two consecutive weed control treatments could lead to altered survival and recruitment dynamics of native grassland plants.Effective weed control requires actions that limit subsequent re-invasion by target weeds and promote a microenvironment suitable for native species to re-colonise. Our findings suggest a need to assess (i) if changes in ground layer cover post herbicide application affects native vegetation recruitment, and (ii) if other management activities, such as burning (in combination with, or independent of, weed control), are effective in controlling weeds while promoting better outcomes for ground layer cover (i.e. biological soil crust does not decrease) and native species (i.e. cover increases). If a strategy that eliminates target weeds while maintaining biological soil crust cover and increasing native cover can be identified, it will greatly improve the long-term restoration of these highly threatened grasslands.

Soil organic carbon fractionation of spoiled and unspoiled soils under different land use and land cover systems.

Alteration in land use and land cover is the key factor affecting the soil carbon fractions and its distribution. A study was carried out to estimate the carbon fractions in soils of agricultural, forest and pasture lands in two different areas separated on the basis of industrial activities (spoiled and unspoiled) to get an insight on the long-term soil carbon storage potential. The results showed that the mean values of the total organic carbon (TOC) and various fractions are significantly different between the land use types (p < 0.05). Irrespective of the land uses, the forest land showed significantly higher TOC (7.97) than agricultural land (6.98) and pasture lands (6.68). Further, evaluation of carbon management index (CMI) indicated that forest lands had highest CMI value compared to the other land uses. The spoiled area had significantly higher TOC and carbon fractions than their respective counterparts in the unspoiled area (p < 0.05) due to the negative industrial impact on soil biological processes. The PCA separates the sources of different carbon fractions and revealed an association of N (nitrogen) and K (potassium) with VL (very labile) and L (labile) fractions and the association of P (phosphorous) with stable R (recalcitrant) form. Therefore, it can be inferred from the present study that alterations in land use not only result in soil quality degradation but also trigger a reduction in potential for long term soil C sequestration.

Impact of land use and land cover change on land degradation in rural semi-arid South Africa: case of the Greater Sekhukhune District Municipality

In semi-arid regions, interactions between biophysical and socio-economic variables are complex. Such interactions and their respective variables significantly alter land use and land cover, degrade landscape’s structure, and impede the efficacy of the adopted land management interventions. This scenario is particularly prevalent in communal land tenure system or areas managed by a hybrid of traditional and state led institutions. Hence, this study sought to investigate the impacts of land use and land cover changes (LULCCs) on land degradation (LD) under communal rural districts, and the key drivers of habitat fragmentation in the Greater Sekhukhune District Municipality (GSDM), South Africa. The study used the wet and dry season multi-temporal remotely sensed image data, key-informant interviews, and workshop with tribal council to determine the major drivers of LULCC and LD. Results revealed that mines and quarries, subsistence and commercial cultivation, and thicket/dense bush LULCs declined significantly during the study period. These LULCs mostly declined in wet season, with loss in vegetation cover highly prevalent. Specifically, the highest conversions were from shrub/grassland to bare soil, thicket/dense bush to shrub/grassland, and shrub/grassland to residential, respectively. Generally, LULCC affected vegetation productivity within the study area, with increased negative NDVI values observed during the dry season. The findings from key informants and the tribal council workshop emphasized that soil erosion, abandonment of cropland, and injudicious land use (i.e. overgrazing and consequent bush encroachment) have severely degraded the land. The study also established that the degrading land can be attributed to the weakening local communal land management system, particularly the weakening tribal councils. The study recommends an urgent need for collaborative (i.e. government, tribal authorities, and land users) land management through designing relevant multi-stakeholder LD mitigation measures.

EXACERBATING LAND USE PATTERNS IN URBAN AREAS: A SPATIO - TEMPORAL STUDY OF URBANIZATION IN PATAN CITY, GUJARAT

This study examines the urbanisation and alterations in land use in Patan, a city in Gujarat. Rural areas are transformed into urban areas through the process of urbanisation. The study investigates the effects of this procedure on Patan's land use. Satellite images from 2012 and 2022 are used in the study to map and track changes in the study area. The study examines the many land classifications in the region, including water bodies, built-up areas, vegetation, agriculture, agricultural fallow land, riverbeds, and barren land. It does so using tools like QGIS and ArcGIS. The study's conclusions show that Patan's land use has changed significantly during the previous ten years. While agriculture and agricultural fallow have reduced, the built-up area has expanded. These changes are attributable to the urbanisation and expanding population of the region. This study underlines the requirement for efficient land use laws and rules that support Patan's sustainable urban development. Urbanization can have detrimental effects on the ecology, the loss of agricultural land, and other factors if it is not planned for properly. The study emphasises the significance of efficiently managing urban areas through the use of GIS and remote sensing technology. These technologies can offer insightful information about how land use is changing and how urbanisation affects the environment. This study sheds light on Patan's urbanisation and shifting land use patterns and emphasises the necessity of sustainable urban planning and management.

Spatiotemporal modeling of the value of carbon sequestration under changing land use/land cover using InVEST model: a case study of Nour-rud Watershed, Northern Iran

The current paper aims to assess the effects of landscape change in a mountain river basin in the north of Iran through quantifying, mapping, and assessing carbon storage. The analyses were performed based on previous alterations in land use and land cover (LULC) (1988–2018) and on expected changes determined by three LULC alteration setups for 2048. The Landsat imagery from 2018, 2008, 1998, and 1988 was used for evaluating and predicting the spatiotemporal distributions of LULC changes. The future LULC image prediction has been generated using Land Change Modeler (LCM) module of TerrSet software for the years 2028, 2038, and 2048. Validation was carried out by overlaying the actual and projected to 2018 map. We integrated the Markov Chain (MC) and InVEST Carbon Storage and Sequestration (InVEST-CSS) models for simulating the ecosystem carbon storage and the long-term monetary valuation. In this process, we considered social costs/economic value because of the area’s loss and gain of stored carbon. The results show that forests and rangelands with good and poor conditions decreased by 631.2, 10,374, and 10,254 ha, respectively, from 1988 to 2018. Overall, modeling and mapping LULC changes showed a descending trend in forests (0.66%), agriculture (0.1%), and rangelands (4.1%) in 2048. In addition, carbon storage has already been lost by 9.9 million tons (76.98 ha−1) from 1988 to 8.8 million tons (68.86 ha−1) in 2018 and is expected to have an 8.4 million tons (65.25 ha−1) loss by 2048. Monitoring the economic value of carbon storage from 1988 to 2018 shows a loss of $US 15684338 (121.8 ha−1) and estimates a loss of $US6972622 (54.18 ha−1) by 2048. Therefore, spatiotemporal design of InVEST model by estimating the carbon value over time focuses on continuous monitoring actions for both the carbon pools dynamic and LULC pattern. This consideration causes reduction the uncertainty of estimated models and also increases the continuous cost of those changes. This will help government and decision makers for long-term and accurate carbon sequestration strategies for ecosystem.

Simulating the migration dynamics of juvenile salmonids through rivers and estuaries using a hydrodynamically driven enhanced particle tracking model

Juvenile salmonids migrate hundreds of kilometers from their natal streams to mature in the ocean. Throughout this migration, they respond to environmental cues such as local water velocities and other stimuli to direct and modulate their movements, often through heavily modified riverine and estuarine habitats. Management strategies in an uncertain future of climate change and altered land use regimes depend heavily on being able to reliably predict their ocean entry timings, route use, and survival rates through rivers and estuaries. We developed a spatially-explicit agent-based model of fish movement in response to hydrodynamic flows that uses movement dynamics gleaned from multi-dimensional tracking datasets of acoustically tagged juveniles moving through an urbanized, branched tidal estuary. We demonstrate how such models can be calibrated, and we apply it to the Sacramento-San Joaquin Delta in Central California. The quality of the out-of-sample validation of the model to predict juvenile salmon survival and route selection indicates that the model is versatile and flexible enough to be used in novel hydroclimatological conditions.

Land-Use and Land-Cover Changes and Farmers’ Perceptions of Ecosystem Services in an Eastern Amazon Rural Settlement

Understanding the relationship between land-use and land-cover changes, the ecosystem services (ES) offered, and the farmers’ perception about these services is essential for designing adequate strategies in the management and conservation of natural resources. Therefore, this research aims to describe the evolution of the land use and land cover, and the farmers’ perceptions of ES at Diamante Negro Jutaí settlement, in the Monção municipality, Maranhão state, Eastern Amazon, Brazil. The data were collected through a mapping of use units and land cover, and 130 structured questionnaires. Farmers recognize ES as highly important for their well-being and livelihood. Food (agriculture and livestock), fish, fresh water, and lakes were perceived by farmers as highly important. Fishing, however, is the most relevant ES. In contrast, it is also the most threatened because of land-use alteration. In the period from 1995 to 2015, overall natural ground cover was reduced. Water bodies were the most highly affected with an 85 percent decrease in relation to the total area of the analysis period. The decrease in secondary forest areas (4.3 percent) and water bodies are reflections of climate change, which also has a direct impact on forms of use. Farmers’ perceptions of ES can be used to formulate policies for conservation of natural resources.

Free and Low-Cost Aerial Remote Sensing in Archaeology

ABSTRACTRecent years have seen the rapid expansion of airborne and spaceborne remote-sensing products adopted by archaeologists for interpreting ancient landscapes and managing heritage resources. A growing and increasingly specialized literature attests to the promise and availability of commercial and publicly funded satellite imagery, as well as UAV-mounted sensors across a range of resolutions and price points. In the South Caucasus (including the countries of Armenia, Azerbaijan, and Georgia), a growing commitment to landscape approaches in archaeology is stimulating the adoption of satellite remote sensing as an important new tool for identifying and managing archaeological resources while tracing the impact of historic land-use alterations in survey areas. Nevertheless, budgetary challenges and a lack of training opportunities among international partners and heritage organizations outside of the funding streams of large academic institutions can lead to widening technological gulfs in the discipline that reinforce colonial relationships. Building on recent technical articles covering specific imagery datasets, this article aims to address this by providing a general review of free or low-cost remotely sensed datasets available to archaeologists, with the aim of broadening awareness of these important tools and their vocabularies, and illustrating them with recent published examples from the South Caucasus.

Assessment of Ecosystem Service Value in Response to LULC Changes Using Geospatial Techniques: A Case Study in the Merbil Wetland of the Brahmaputra Valley, Assam, India

The alteration of land use and land cover caused by human activities on a global scale has had a notable impact on ecosystem services at regional and global levels, which are crucial for the survival and welfare of human beings. Merbil, a small freshwater wetland located in the Brahmaputra basin in Assam, India, is not exempt from this phenomenon. In the present study, we have estimated and shown a spatio-temporal variation of ecosystem service values in response to land use and land cover alteration for the years 1990, 2000, 2010, and 2021, and predicted the same for 2030 and 2040. Supervised classification and the CA-Markov model were used in this study for land-use and land-cover classification and future projection, respectively. The result showed a significant increase in built-up areas, agricultural land, and aquatic plants and a decrease in open water and vegetation during 1990–2040. The study area experienced a substantial rise in ecosystem service values during the observed period (1990–2021) due to the rapid expansion of built-up areas and agricultural and aquatic land. Although the rise of built-up and agricultural land is economically profitable and has increased the study site’s overall ecosystem service values, decreasing the area under open water and vegetation cover may have led to an ecological imbalance in the study site. Hence, we suggest that protecting the natural ecosystem should be a priority in future land-use planning. The study will aid in developing natural resource sustainability management plans and provide useful guidelines for preserving the local ecological balance in small wetlands over the short to medium term.

Reconstructing mechanisms of extinctions to guide mammal conservation biogeography

AbstractAn emerging research program on population and geographic range dynamics of Australia's mammals illustrates an approach to better understand and respond to geographic range collapses of threatened wildlife in general. In 1788, Europeans colonized an Australia with a diverse and largely endemic mammal fauna, where many species that are now extinct or threatened were common and widespread. Subsequent population declines, range collapses and extinctions were caused by introduced predators and herbivores, altered land use, modified fire regimes and the synergies between these threats. Declines in population and range size continue for many Australian mammals despite legislative protection and conservation interventions. Here, we propose an approach that integrates museum data and other historical records into process‐explicit macroecological models to better resolve mammal distributions and abundances as they were at European arrival. We then illustrate how this integrative approach can identify the likely synergistic mechanisms causing mammal population declines across these and other landscapes. This emerging research approach, undertaken with fine temporal and spatial resolution, but at large geographic scales, will provide valuable insights into the different pathways to, and drivers of, extinction. Such insights may, in turn, underpin conservation strategies based on a process‐explicit understanding of population decline and range collapse under alternative scenarios of impending climate and environmental change. Given that similar information is available for other regional biotas, the approach we describe here can be adapted to conserve threatened wildlife in other regions across the globe.

Assessing the Impact of Land Use and Land Cover Changes on Aflaj Systems over a 36-Year Period

The aflaj systems represent unique irrigation technologies that have been implemented in the Sultanate of Oman. This innovative system, referred to as “falaj” in the singular form, is composed of a sophisticated network of underground tunnels and open-air channels designed to access shallow subterranean water tables, thereby providing water for residential and agricultural use. The aflaj systems have played a significant role in supporting sustainable water resource management in arid and semiarid regions, making a notable contribution to the socioeconomic development of the country. The alteration of land use and land cover (LULC) in arid and semiarid regions can have significant consequences for hydrological systems, affecting the ability of local ecosystems to manage fresh surface and groundwater resources. These changes are often caused by both natural and anthropogenic factors. To investigate the impact of LULC changes on aflaj systems in the northern part of Oman, we utilized satellite imagery, aflaj data, and spatial analytical and image processing techniques within the framework of geographic information systems (GIS) and remote sensing. In the first part of the study, we quantified the changes in LULC and their impact on aflaj systems in seven cities in Oman due to urban expansion. In the second part, we evaluated the effect of LULC on groundwater for four major aflaj between 1985 and 2021. The study area was divided into four primary LULC classifications: vegetation, bodies of water, metropolitan areas, and bare soil. The classification maps demonstrated a high overall accuracy of 90% to 95%, indicating satisfactory performance. Our results revealed a significant reduction in vegetation areas between 1985 and 2021, primarily shifting from bare soil (BS) to urban areas (UAs) and from vegetation cover (VC) to BS, due to the reduction of groundwater resources. Over the four study periods (1985–1990, 1990–2000, 2000–2013, and 2013–2021), the percentages of the total area of Falaj Al-Muyasser, Falaj Daris, Falaj Al-Maliki, and Falaj Al-Khatmeen that transformed from agricultural lands to UAs were 40%, 39%, 32%, and 8%, respectively. Our study highlights the need for appropriate land management and planning to ensure the most effective solutions are utilized to meet social and economic sustainability requirements. In conclusion, our study presents a comprehensive analysis of LULC changes and their impact on aflaj systems over a 36-year period, providing new insights into the potential effects of LULC changes on groundwater resources and offering a basis for informed decision making on land management in arid and semiarid areas.

Investigating impact of CORDEX-based predicted climatic and LCM-based LULC scenarios on hydrologic response of a semi-gauged Indian catchment.

The present study aims at documenting the impact of different climate and land use change scenarios on runoff in the Kangsabati River basin. While the study relies on India Meteorological Department (IMD), National Oceanic and Atmospheric Administration's Physical Sciences Laboratory (NOAA-PSL), and a multi-model ensemble of six driving models from Coordinated Regional Downscaling Experiment-Regional Climate Models (CORDEX RCM) for climate data input, it depends on IDRISI Selva's Land Change Modeller (LCM) and Soil and Water Assessment Tool (SWAT) model to generate projected land use land change maps and simulate its streamflow response, respectively. A total of four land use and land cover (LULC) scenarios, representing four projected land use change, were modelled across three climatic scenarios, called Representative Concentration Pathways (RCPs). With runoff being predominantly impacted more by climate change than LULC, volumetric runoff is expected to be 12-46% higher than the baseline period of 1982-2017. Conversely, while surface runoff is expected to decrease by 4-28% in lower parts of the basin, it will increase by 2-39% in the rest of it, depending on the subtle alterations in land use and climatic variability.

Green GDP and Economic Openness in India

Aim: The vast range of weather conditions in India's climate system is a result of numerous reasons, including growing agricultural activity, altered land use patterns that increased emissions of methane and nitrous oxide as well as other greenhouse gases, automobile use, and so forth. It is necessary to quantify the significant and under-estimated impact of climate change on the natural system through changes in extreme weather. To account for the economic losses of the environment as a result of climate change, the Green GDP concept was introduced. The objective of the paper is to compute the Green GDP for India and test the effect of economic openness on GDP and Green GDP.&#x0D; Methodology: The World Bank Database, the OECD, and Energy Statistics India 2021 are some of the sources from which information was gathered. Growth Rate, Economic Openness Index and the Green GDP estimation methods are employed. To compute the Green GDP indicator for the years 2011 to 20, the GDP measure is subtracted from the costs associated with the utilization of natural resources and environmental degradation.&#x0D; Results: According to the outcome, the cost of environmental damage will decline from 11 per cent in 2011 to 9 per cent in 2020. The cost of environmental damage growth rate was -3.07 percent. The Economic Openness Index was 55.62 in the year 2011 and it is gradually declining and attained 36.46 in the year 2020. The lower the index, the lower the impact of trade on domestic activities and the less powerful the economy of that country. The relationship between economic openness and Green GDP per capita shows that less and less economic openness moves the cost of environmental damage to the increasing side.&#x0D; Conclusion: The cost of environmental damage increased in the year 2020 compared to 2011 but the growth rate shows negative. The government should take several initiatives to assure data availability and accountability to estimate the environmental damage cost and to frame suitable policy options to improve economic performance overall.

Temporal and Spatial Variations in Soil Elemental Stoichiometry Coupled with Alterations in Agricultural Land Use Types in the Taihu Lake Basin

Soil elemental stoichiometry, expressed as the ratios of carbon (C), nitrogen (N), and phosphorus (P), regulates the biogeochemical processes of elements in terrestrial ecosystems. Generally, the soil C:N:P stoichiometry characteristics of agricultural ecosystems may be different from those of natural ecosystems, with distinct temporal and spatial variations along with the alterations of agricultural land use types (LUTs). The balance of soil C, N, and P reflected by their stoichiometry is primarily important to microbial activity and sustainable agricultural development. However, information on soil stoichiometric changes after long-term alterations in land use is still lacking. We characterized the temporal and spatial changes in soil elemental stoichiometry coupled with alterations in agricultural LUTs in the Taihu Lake basin. By using the ArcGIS method and meta-data analysis, our results showed that the C:N, C:P, and N:P ratios of agricultural soil in the Taihu Lake basin were much lower than the well-constrained values based on samples from forest, shrubland, and grassland at a global scale. Generally, these elemental ratios in soils increased from the 1980s to the 2000s, after experiencing changes from agricultural to other land use. The soil C:N:P stoichiometry may have maintained the increasing trend according to the meta-data analysis from the 341 peer-reviewed publications since 2010. Nevertheless, different regions showed inconsistent change patterns, with the Tianmu Mountain area surrounding the downstream of the Taihu Lake basin experiencing a reduction in those ratios. The changes in LUTs and their corresponding management practices were the major drivers shaping the spatial and temporal distributions of soil C:N, C:P, and N:P. Paddy soil generally achieved higher C sequestration potential due to more straw input and a more rapid transfer of straw C into soil C in the upstream of the Taihu Lake basin than other land use types. These results provide valuable information for the agricultural system of intensive cultivation on how their soil elemental stoichiometry characteristics vary temporally and spatially due to the alteration of agricultural land use types.