Agricultural Change Research Articles

Effects of landscape changes on water quality: A global meta-analysis

Landscape changes resulting from anthropogenic activities and climate changes severely impact surface water quality. A global perspective on understanding their relationship is a prerequisite for pursuing equity in water security and sustainable development. A sequent meta-analysis synthesizing 625 regional studies from 63 countries worldwide was conducted to analyze the impacts on water quality from changing landscape compositions in the catchment and explore the moderating factors and temporal evolution. Results exhibit that total nitrogen (TN), total phosphorus (TP), and chemical oxygen demand (COD) in water are mostly concerned and highly responsive to landscape changes. Expansion of urban lands fundamentally degraded worldwide water quality over the past 20 years, of which the arid areas tended to suffer more harsh deterioration. Increasing forest cover, particularly low-latitude forests, significantly decreased the risk of water pollution, especially biological and heavy metal contamination, suggesting the importance of forest restoration in global urbanization. The effect size of agricultural land changes on water quality was spatially scale-dependent, decreasing and then increasing with the buffer radius expanding. Wetland coverage positively correlated with organic matter in water typified by COD, and the correlation coefficient peaked in the boreal areas (r=0.82, p<0.01). Overall, the global impacts of landscape changes on water quality have been intensifying since the 1990s. Nevertheless, knowledge gaps still exist in developing areas, especially in Africa and South America, where the water quality is sensitive to landscape changes and is expected to experience dramatic shifts in foreseeable future development. Our study revealed the worldwide consistency and heterogeneity between regions, thus serving as a research roadmap to address the quality-induced global water scarcity under landscape changes and to direct the management of land and water.

Policy Instruments to Improve Foreign Workforce’s Position and Social Sustainability of the Agriculture in Italy

Agricultural employment in advanced economies has been suggestively described as a “short and step” pyramid with only limited opportunities for workers to climb to higher positions, especially when they belong to the most vulnerable categories, such as migrants. The presence of poor jobs and living conditions for temporary agricultural workers reported by mass media, trade unions, NGOs, and international observers contrasts dramatically with the idea of a modern and thriving sector, as the Italian agricultural sector should be, and it represents a challenge for the social concerns that have been alongside environmental ones in the definition of sustainability since the Brundtland Report released in 1987 by the World Commission on Environment and Development (WCED). Even mechanisation does not necessarily facilitate better working conditions. In fact, where the workforce is largely replaced by machineries, the remaining opportunities for paid workers are mainly for unskilled, physically demanding, and seasonal jobs. This has brought about the so-called “paradox of prosperity”, where the gap between farm and nonfarm workers in economically advanced countries has widened in terms of wages, benefits, and prospects for upward mobility. This in turn triggers a vicious circle with a structural lack of available workforce for the sector, which has been increasingly provided by migrants with very little bargaining power. On the other hand, the adoption of new technologies and digitalisation in agriculture is leading to an increasing demand for skilled workers, which often remains uncovered because of the low conditions offered. Against this background, the aim of our work is twofold. First, we characterise the role of the foreign workforce in relation to the structural changes in Italian agriculture and considering territorial differences. Second, we examine the main policy instruments to facilitate recruitment and tackle undeclared work and more specifically the Quality Agricultural Work Network (Rete del lavoro agricolo di qualità) launched in Italy in 2016 to tackle undeclared work and exploitative labour. We do so by conducting a literature review and semi-structured qualitative interviews with 16 farmers in Italy carried out in 2022 within the project Rural Social ACT funded by the Asylum, Migration, and Integration Fund (2021–2027). The results show that even though foreign workers are a key resource for agriculture in Italy, there remain severe recruitment issues and segregation in low-skilled and precarious jobs. Overall, it is necessary to improve the awareness of the key role of work in agriculture and to strengthen the effectiveness of tools to enhance the visibility of compliant farms. So far (January 2024), only 6600 farms have joined the Quality Agricultural Work Network, with an overall modest enthusiasm from the farmers interviewed about its current effectiveness. Other instruments are explored such as employee sharing contracts, and there clearly emerges a need for public support of professional training through the Common Agricultural Policy to improve both the bargaining power of foreign workers and the productivity of the sector.

Gender-differentiated capture of agro-based climate adaptation interventions: implications for agricultural systems and practices in Cameroon’s Western highlands

In climate change adaptation, studies exist on extension interventions in sub-Saharan Africa, albeit the dearth of scientific evidence on the differential “capture1” of agro-based adaptation packages. This paper contributes to provide evidence by (1) analyzing the typology of agro-based climate adaptation packages, and (2) exploring gender variations in the capture of agro-based climate adaptation packages. We use key informant interviews (N = 89) and focus group discussions (N = 14) to obtain data, analyzed using content analysis. Variations were observed in the capture of agro-based adaptation packages introduced by state and non-state actors. While men (adult male) mostly employed dominant information, women (adult female) drew from group formation. Agro-based adaptation capture led to major shifts in agricultural systems in the western highlands from monocropping to mixed cropping, mixed farming and agroforestry systems. The results show changes in agricultural systems from monocropping to mixed cropping. It was observed that women (adult female) and youths (both male and female) capture adaptation strategies encouraged by state agencies than the men (adult male) who adopt various adaptation strategies by both state agencies and non-governmental organizations. While these findings shed light on the dynamics of gender differentiated capture, it further calls for an in-depth exploration of other factors which shape agricultural system change.

Dry–Wet Changes in a Typical Agriculture and Pasture Ecotone in China between 1540 and 2019

Dry–Wet Changes in a Typical Agriculture and Pasture Ecotone in China between 1540 and 2019

Environmental pollution effect on honey bees and their derived products: a comprehensive analysis

AbstractSeveral factors, including environmental degradation, air pollution, intense urbanization, excessive agriculture, and climate change, endanger the well-being of animals and plants. One of the major issues with an increasingly negative impact is agricultural contamination with pesticides and antibiotics. Seed coatings with neonicotinoid insecticides used as a protective layer against pests are shown to exceed the permissible limits in most cases. Neonicotinoid compounds bind to nicotinic acetylcholine receptors, therefore affecting the honey bees’ brain. Heavy metals in higher concentrations are lethal for honey bees, and the residue in bee products might pose a threat to human health. Highly effective acaricides used to treat Varroa destructor infestations in honey bee colonies have negative effects on honey bee reproduction, olfaction, and honey production. Furthermore, amitraz and fluvalinate are mostly found in the highest amounts and lead to decreased honey production and reduced colony reproduction, along with decreased learning ability and memory. However, scientific studies have shown that honey bees act as a reliable bio-indicator of environmental pollution. In response to the growing demand for bee products, the effects of adulteration and improper storage conditions have gotten worse and represent a new risk factor. In light of the shifting global economy, it is important to analyze consumer expectations and adjust manufacturing accordingly. By ensuring the manufacture of high-quality, traceable products devoid of drug residues, consumers will be better protected from subsequent health problems. This review’s objectives are based on the necessity of identifying the risks associated with honey bees and bee products. Graphical abstract

The lens of social learning theory: an imitation behaviour to adapting climate change in agriculture

The lens of social learning theory: an imitation behaviour to adapting climate change in agriculture

Rapid monitoring of the spatial distribution of soil organic matter using unmanned aerial vehicle imaging spectroscopy

ABSTRACT An existing technique for quickly obtaining the spatial distribution data of soil organic matter (SOM) involves combining an unmanned aerial vehicle (UAV) platform and imaging spectroscopy technology; this technique is suitable for precision agricultural management and real-time monitoring. In this study, the average spectral data were first extracted via circular regions of interest (ROIs) of different radii and modelled using the measured SOM to determine the optimal extraction range for the spectral data. Partial least-squares regression (PLSR) and support vector machine (SVM) models were constructed based on the raw spectra, standard normal transform spectra, multiple scattering-corrected spectra, and first-order differential spectra. The difference index, ratio index, and normalized index were calculated and analysed for their correlation with SOM content, and the spectral indices were screened to establish the SOM prediction model. Finally, the accuracy of the model was evaluated, and we selected the optimal model to map the spatial distribution of SOM. The results of our study show that 1) the radius of the ROI significantly affects the model’s accuracy; 2) the accuracy of the nonlinear SVM model is much higher than that of the linear PLSR model; 3) the prediction model based on spectral indices is better than full-band model. This study can serve as a model for the application of UAV imaging spectroscopy technology to field-scale SOM estimations and rapid monitoring, as well as provide technical support for precision agriculture and climate change studies.

Rice husk biochar for carbon sequestration, soil fertility and plant health improvement: A review

Carbon dioxide (CO2) is considered one of the ozone layer gases that contribute to climate change. As the area under agricultural use expands, the level of CO2 from soil as an agricultural by-product increases in the atmosphere. Burning rice husks in open air, decomposing plant materials among other activities release CO2 directly to the atmosphere. Rice husks as a by-product of rice production in Kenya has both the potential to be a source of greenhouse gas (GHG) and production of biochar. Production and deposition of rice husk biochar (RHB) into soil is thought to be one of the viable options for permanent carbon storage with related benefits to soil fertility. This review seeks to consolidate information from various studies that highlight the innovative way of using RHB in combating climate change, improving soil fertility, plant health and crop yields. Studies that have demonstrated beneficial use of RHB were evaluated to prepare this review. When RHB is used as a soil amendment, it has the ability to increase soil carbon storage, mitigate 10% of the current anthropogenic carbon emissions, improve pH and raise Cation Exchange Capacity (CEC), increase available plant nutrients, enhance inherent plant immunity, increase crop yields and improve water quality by increasing retention of nutrients and agrochemicals for plant utilization. A review of the benefits of RHB use in agriculture and climate change mitigation will enhance its adoption. The review further emphasizes the usefulness of pyrolysis in turning organic waste into bioenergy, compost and other beneficial products while protecting the environment. Key Words: Carbon dioxide, climate change, global warming, innovation, ozone layer, temperature.

Hydrological changes in a plain basin in central Argentina following expansion of rainfed agriculture and climate change

AbstractThe characterization of long‐term streamflow in regions undergoing climatic change and agricultural expansion is relevant for achieving sustainable development goals and for assessing the vulnerability of water‐dependent populations and agricultural activities. The objective of this work was to characterize the temporal patterns of water yield in the plain basin of the Carcarañá River (33,063 km2), located in central Argentina and to analyse its relationship with a fast expansion of rainfed cultivation and climate change. The streamflow data for the period 1980–2020 were analysed in conjunction with climatic data (rainfall, reference evapotranspiration), satellite data (NDVI) and cropping statistics (sown area of summer crops) data. The annual water yield averaged ~10% of the rainfall and showed a clear upward trend throughout the study period, both in absolute terms and relative to rainfall (i.e., runoff coefficient), which was not explained by rainfall or reference evapotranspiration temporal patterns. Conversely, we found that the trend in water yield was positively associated with the agricultural area (p &lt; 0.05), which more than doubled during the study period (from 29% to 66%). Likewise, the mean NDVI of the basin, a proxy for primary productivity and vegetation transpiration, has decreased steadily over the last 20 years (p &lt; 0.05). The separation between base flow and quick flow suggested that both flows increased during the analysed period (p &lt; 0.05), though the latter would have been more relevant in explaining the trend observed in total flow. Taken together, our results suggest that agricultural expansion, rather than climate change, is the dominant factor explaining the hydrological changes observed in the study basin. Understanding the key role of land use in shaping the hydrology of a landscape is critical to developing policies and practices for more efficient and sustainable use of environmental resources.

Amazon Wildfires and Respiratory Health: Impacts during the Forest Fire Season from 2009 to 2019.

The Brazilian Amazon, a vital tropical region, faces escalating threats from human activities, agriculture, and climate change. This study aims to assess the relationship between forest fire occurrences, meteorological factors, and hospitalizations due to respiratory diseases in the Legal Amazon region from 2009 to 2019. Employing simultaneous equation models with official data, we examined the association between deforestation-induced fires and respiratory health issues. Over the studied period, the Legal Amazon region recorded a staggering 1,438,322 wildfires, with 1,218,606 (85%) occurring during August-December, known as the forest fire season. During the forest fire season, a substantial portion (566,707) of the total 1,532,228 hospital admissions for respiratory diseases were recorded in individuals aged 0-14 years and 60 years and above. A model consisting of two sets of simultaneous equations was constructed. This model illustrates the seasonal fluctuations in meteorological conditions driving human activities associated with increased forest fires. It also represents how air quality variations impact the occurrence of respiratory diseases during forest fires. This modeling approach unveiled that drier conditions, elevated temperatures, and reduced precipitation exacerbate fire incidents, impacting hospital admissions for respiratory diseases at a rate as high as 22 hospital admissions per 1000 forest fire events during the forest fire season in the Legal Amazon, 2009-2019. This research highlights the urgent need for environmental and health policies to mitigate the effects of Amazon rainforest wildfires, stressing the interplay of deforestation, climate change, and human-induced fires on respiratory health.

Metricizing policy texts: Comprehensive dataset on China’s Agri-policy intensity spanning 1982–2023

Due to the lack of direct assessment metrics, existing studies on the intensity of agricultural policies often utilize indicators such as Gross Domestic Product (GDP) of agriculture or the quantity of agricultural policies as measures. Optimizing methods for analyzing the intensity of agricultural policies will significantly impact parameter selection in agricultural policy research and the evaluation of policy effectiveness. In this study, we constructed a Chinese Agricultural Policy Corpus using agricultural policies released by various governmental agencies at the national level in China from 1982 to April 2023. We quantified the values of agricultural domain terms in the corpus and evaluated the intensity of each agricultural policy document. The validation results of this study indicate a strong correlation between the intensity of agricultural policies and agricultural GDP. The trend in agricultural GDP changes lags behind policy intensity by 2.5 years (at a 95% confidence level), thus validating the rationality of our constructed corpus, agricultural policy scoring dataset, and methodology.

Exploring climate change adaptation strategies of crop and livestock farmers in urban Ghana

This study investigates the climate change adaptation strategies employed by urban crop and livestock farmers in Ghana. With the increasing recognition of climate change threats to agricultural productivity and food security, it is crucial to understand urban farmers’ adaptation strategies. Through a mixed-methods approach—surveys of 191 urban farming households using a questionnaire and interviews of 13 key informants using an interview guide, data were collected from farmers in urban Ghana. The quantitative data were analysed using descriptive statistics from the Statistical Package for Social Sciences and presented in tables. The qualitative data were analysed manually based on themes and content and presented in narratives. The results indicated a significant relationship between urban farmers’ educational status and gender and their sources of climate change adaptation information. Urban farmers’ climate change adaptation strategies include planting more improved and less indigenous crop varieties and rearing of more exotic and less local breeds of animals. Again, to buffer animal production against climatic diseases, urban farmers treat their animals through vaccination, giving animals pills, disinfecting pens, and spraying animals’ bodies with chemicals. Access to agricultural extension services is the main challenge in urban farmers’ climate change adaptation. The study underscores the importance of enhancing farmers’ resilience through targeted interventions, including capacity-building initiatives, access to climate information and financial resources, and the integration of climate-smart agricultural practices into urban planning and policy frameworks. In addressing these challenges and promoting adaptive strategies, urban crop and livestock farmers in Ghana can enhance their resilience to climate change and contribute to sustainable urban agriculture and food security. This study, therefore, contributes to the urban agriculture and climate change literature by drawing attention to how crop and animal farmers in the urban neighbourhood adapt to climatic stressors.

Managing organic resources in agriculture: future challenges from a scientific perspective

Recycling of organic resources into agriculture has the potential to greatly increase nutrient use efficiency and improve soil carbon balance, but improper management can have adverse effects on the environment. Agriculture therefore faces large challenges to increase yields while decreasing these emissions to the environment. In this paper, we review (i) the availability and composition of organic resources, (ii) their agronomic value and risk of emissions, (iii) potential measures to reduce their emissions, and (iv) future challenges to support farmers and policy makers. The total amount of organic resource applied to soil amounted on average 41 kg nitrogen per ha agricultural land, 9 kg phosphorus per ha, and 456 kg carbon per ha in EU-27 + UK in 2017. Solid pig and cattle manures and cattle slurry are the most used organic resources. The availability of new organic resources from food processing, sewage sludge, municipal bio-wastes, and upcoming manure treatment techniques as fertilizer or soil conditioner is expected to strongly increase over the coming decade. Insight is needed into the composition of organic resources, the plant-availability of nutrients, the degradability of organic matter and the presence of contaminants. Measurement techniques become available to characterize soils, manures, crops, and emissions to the environment. However, the interpretation, and integration of data, and recommendations to farmers and policymakers using large amounts of data is expected to become more and more challenging. Many measures are available to improve nutrient and carbon management and to reduce emissions, including proper application, technological measures and structural changes in agriculture. For many measures, there is a risk of trade-offs that could lead to pollution swapping at different scales. We should focus on finding synergies between measures and no-regret management choices to develop effective mitigation strategies. The main future challenge for managing organic resources in agriculture is the development of an integrated nutrient management approach, including (i) the characterization of organic resources, their agronomic value and their environmental risks, (ii) knowledge of potential synergies and trade-offs between management measures, and (iii) implementation of this knowledge into decision support tools, models and legislation to support farmers and policy makers.

Detection of Urban Growth in Taiz City, Yemen, Between 1981 and 2022 by Using Google Earth™ and Geographical Information System Data

Rapid urbanization brought serious socio-economic and environmental problems in many cities around the world, particularly in developing countries like Yemen. Urban "sprawl", a synonym of rapid and unplanned urban growth, is considered an obstacle for sustainable development, which causes serious long- and short-term problems, such as extreme infrastructure expenses, economic inefficiency, environmental destruction, and social instability. This is the case of Taiz City, the third largest city in Yemen, which is facing a huge challenge to manage the spatial extension of its built-up area at the expense of the reduction of natural resources and environment. This study aims to investigate urban growth process in Taiz City, focusing on urban sprawl and agricultural land-use change during 1981–2022. The data used are high resolution geospatial data, which are the topographic map for 1981 and Google Earth (GE) images for 2003, 2012, and 2022. The methodology adopted was manual digitizing using Geographic Information System (GIS) software to extract urban land use features from the images of the different dates. Four land-use maps were produced and used for calculation the urban sprawl and land-use changes. The urban expansion rate and patterns were also identified in three phases: 1981–2003, 2003–2012, and 2012–2022. The results show that the built-up area increased six times from 6.2 km2 in 1981 to 34 km2 in 2022, while the agriculture area decreased by 77% from 18 km2 in 1981 to 4.2 km2 in 2022. The urban sprawl in Taiz covered about 75% of its municipal area and extended to the agricultural and rural areas. The sprawl index (USI) is measured to be 5.4%, indicating a high degree of sprawl in Taiz. There is no open space left for future development, and the water resources are at risk of population and depletion. The study demonstrated that informal and haphazard expansion must be controlled, a development strategy should be prepared, so that sustainable urban growth can be achieved. The results of this study could be used as a decision support tool for urban management activities. The vector layers produced by this study could provide the required input data for the future urban modeling of the city.

Assessing the trends and drivers of agricultural land use change in the Ramsar County, northern Iran

Agricultural land use change (ALUC) is a primary driver of global environmental change, with implications for food security and the environment. Ramsar County in the north of Iran has continuously undergone many changes due to the tourism characteristics of the region. The present study demonstrates the ALUC trends from 1992 to 2022 and the main drivers affecting ALUC in Ramsar County, northern Iran, using household surveys and Landsat data. Six land use classifications have been made for the region by image processing. Images have been categorized using the maximum likelihood classifier. Likewise, utilizing a questionnaire from 200 randomly selected farmers, in-person interviews were conducted. The kappa coefficient and overall accuracy for 1992, and 2022 were 85.91%, 88.86%, and 88.38%, 90.83%, respectively. It was observed that from 1992 to 2022, orchard (12%), open land (4.8%), and built-up areas (160.5%), increased respectively. In contrast, forest (−12.1%), water (−82.6%), and agri-land (−14.8%), declined respectively. Additionally, the analysis of the household survey indicates the high cost of production, the lack of a suitable market and price fluctuations of products, the aging of farmers, the increase in the population of non-native residents, weak policies to support farmers, lack of coordination between relevant institutions, the beautiful nature and tourism of the region, and climate changes and drought in other parts of the country were the most important drivers affecting ALUC in the region. Overall, this study can provide significant insights to decision-makers at the beginning of strategic planning to control the ALUC in the region.

Vegetation and Evapotranspiration Analyses on Climate Maps

This study focuses on the investigation of evapotranspiration (ET) processes under the climatic and geographical characteristics of Turkey. Evapotranspiration refers to the process by which plants transfer water vapour to the atmosphere and is an important part of the water cycle. Vegetation cover, climatic conditions and topographic structures in different regions of Turkey are among the main factors affecting evapotranspiration. In this study, the seasonal and annual variations of evapotranspiration in different regions of Turkey are discussed and the importance of this process in water resources management, agriculture, ecosystems and climate change is emphasised. This research focuses on conducting an evapotranspiration analysis in Turkey by employing imagery data from NASA Global Land Data Assimilation System Version 2 (GLDAS-2), MODIS, TerraClimate, SMAP Level-4, and Penman-Monteith-Leuning Evapotranspiration V2 (PML_V2) sources. Evapotranspiration, a pivotal process in the hydrological cycle, significantly impacts water resource management and ecosystem dynamics. This study aims to provide a comprehensive assessment of evapotranspiration dynamics across diverse regions within Turkey. For Turkey, SSM data between 2016-2022 and LST data between 2000-2022 were obtained from MODIS images. In the study, regression analyses were performed with evapotranspiration values and SSM and LST data. The best result was a medium level relationship (R 0.56) between evapotranspiration generated from SMAP Level-4 data and LST. A high correlation (R 0.87) was observed with SSM. Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) precipitation data between 1981 and 2023 and Surface pressure (PS) data between 1981 and 2023 were obtained from MERRA image. Regression analyses were performed between evapotranspiration data and PS and Precipitation values. A moderate relationship (R 0.37) was observed between evapotranspiration and PS generated from MOD16A2 V105 data. A moderate relationship (R 0.55) was observed between evapotranspiration and precipitation generated from TerraClimate data. This study aims to contribute to the development of strategies to effectively manage water resources and improve agricultural sustainability by analysing evapotranspiration in various regions of Turkey. Understanding evapotranspiration processes under the climatic diversity and geographical structure of Turkey will be an important step in planning and managing the future use of water resources.

Landed estates and the place of public houses: Agricultural and industrial change in the English East Midlands, c.1860–1930

This article uses the records the Manvers and Portland estates in Nottinghamshire and north-east Derbyshire to consider the provision and management of licensed premises between the 1860s and 1930s. Using archival materials of land agents and solicitors, it examines the changing place of public houses in a range of local communities affected by agricultural decline and industrial change in the region. These include: small agricultural villages on the Manvers estate, where pubs were let with farmland; and, on the Portland estate, urbanising settlements and new colliery villages constructed in rural locations. The pub is presented as a place to see how agents balanced older social relations and responsibilities with the broader economic and social geographies remaking the region. The sale of estate pubs offers important insights into the process by which regional breweries assembled their own pub holdings, the legacy of which shaped the geography of drink well into the twentieth century.

Selected Driver Variables for the Simulation of Land-Use and Land-Cover Change for the Republic of Djibouti: A Study from Semi-Arid Region

Abstract. This study aims to integrate driver variables with a land use change model (LCM) to explore their impact on the natural environment within the context of land-use changes in the Republic of Djibouti, considering possible Business-as-usual scenarios. Secondary data from 1990 and 2012 on land use land cover (LULC) were analyzed, with a 2022 map generated by adopting the same method of secondary data used (random forest classification in Google Earth Engine (GEE)) for validation. Eight key driver variables were utilized to model plausible future land cover (2035) for Djibouti. Statistical outputs and change maps from the LCM were compared to gauge historical change estimates and simulated scenarios. Analysis from 1990 to 2022 highlights significant land use and cover changes spurred by urbanization, environmental factors, and economic development. Barren land and bushland dominated, while built-up areas and water bodies expanded notably. Urbanization, agriculture, and climate change contributed to vegetation degradation, with declines in mangroves and increases in built-up areas. Water bodies also expanded during this period. Projections from the 2035 LULC map anticipate further urban expansion, underscoring the need for sustainable land management practices. In conclusion, comprehensive land-use planning, interdisciplinary approaches, and stakeholder engagement are deemed critical for addressing Djibouti's socio-economic and environmental challenges and steering towards a sustainable future. These simulated results offer valuable insights for regional governments to frame strategic policies and assess management actions for resource utilization amidst urbanization and population growth trends.

An assessment of the water footprint of the population and agricultural crops in the natura 2000 site ROSCI0434 siretul mijlociu, Romania

The designation of a Natura 2000 site ROSCI0434 Siretul Mijlociu for the protection of habitats and species, whose development is closely tied to the aquatic environment, signifies that the management of water resources, and implicitly, the water footprint, has contributed to maintaining a balanced and favorable status for biodiversity conservation. Given that the Natura 2000 site was declared based on older studies, and the Management Plan for the protected natural area was not yet developed, we are now conducting an assessment of the impact of the water footprint in the current climatic conditions. This includes considering other predominant types of agricultural crops and changes in food habits. This evaluation aims to understand the relationship between the water footprint and the conservation status of species and habitats in light of these new circumstances.The blue and grey water components of the water footprint are the ones that directly affect the natural protected area out of the three components of the water footprint: green, blue, and grey water. The ecological impact of water use in ROSCI0434 Siretul Mijlociu is extensive, affecting both terrestrial and aquatic ecosystems. Pollutants can harm habitats and species, while agricultural water usage alters habitats and disrupts hydrological patterns, impacting breeding and foraging grounds. Additionally, changes in water quantity and quality diminish ecosystem services like water purification and habitat provision, affecting biodiversity and human well-being.

Palaeoclimatic shifts in the Central Ganga Basin during the Middle- to Late Holocene: Exploring the 4.2 ka arid event and its implications in northern India

The Central Ganga Basin is one of the most densely populated regions of India. It is agriculturally diverse and contributes much to the Indian economy. The region has housed numerous ancient and mediaeval empires. This study presents a continuous record of the paleomonsoon from the Chandrika Devi lake, Lucknow district of Uttar Pradesh, India which is linked with paleo vegetational shifts over the last ~6000 years (5871–75 cal yr BP). The chronology of the lake core is based on three accelerated mass spectrometry (AMS) radiocarbon and two Optically Stimulated Luminescence (OSL) dates. The multiproxy data (grain size, major and trace element ratio, total organic carbon (TOC wt%), carbon isotopes (δ13Corg‰) and pollen), suggest that the lake was initially a part of the Gomti river that began to transform into a lake at ~5000 cal yr BP with weakening of the Indian summer monsoon (ISM) in the Central Ganga Basin. The lake formation was completed at ~4100 cal yr BP under the influence of the 4.2 ka arid event. This phase marks the beginning of human presence as well as agricultural activities in the lake region with the appearance of Cerealia pollen and other agricultural taxa. The agricultural activity surrounding the lake catchment peaked at ~3000 cal yr BP. The lake gradually shrank and became a marshy lowland at ~75 cal yr BP. Our study is significant because it is the first comprehensive multiproxy study from the Lucknow region in the Central Ganga Basin on paleomonsoonal variability and its relationship to human activity, agricultural practices during the Late-Holocene with a focus on the 4.2 Ka arid event. Also, pollen record suggests that the changes in agriculture and human activity began just after 4.2 ka arid event in the study area.