Drivers Of Environmental Change Research Articles

Wetland soil microbial responses to upland agricultural intensification and snail invasion

Wetland soils harbor diverse microorganisms including bacteria, archaea, and fungi, all of which play significant roles in maintaining soil health and ecosystem functions but are susceptible to influences from multiple environmental changes. Agricultural intensification and biological invasion are two fundamental drivers of environmental change for wetlands, but their interactive effects on soil microbial communities remain less well understood, particularly for seasonal subtropical wetlands. Yet such understanding is vital for wetland conservation and management. In this study, we conducted a 14-week field mesocosm experiment to investigate how agricultural intensification and invasive apple snail (Pomacea maculata) – an emerging and increasingly concerning threat to natural and agricultural systems in southeastern U.S. – altered wetland soil microbial communities and structures. We found that invasive P. maculata showed selective effects on relative abundance of specific microbial taxa (e.g., Proteobacteria, Nitrospirota), and interactive effects with upland intensification on Spirochaetota and Mortierellomycota. Upland agricultural intensification also exerted significant and consistent effects on microbial composition and diversity across microbial domains. Changes in microbial composition were partly manifested through modifications in water chemistry, such as dissolved oxygen, which acted as environmental regulators. In addition, upland intensification led to more complex but sparsely connected microbial networks, while invasive snail presence decreased network complexity and resulted in greater modularity, less edge density, and longer path length, indicative of lower molecular information exchange efficiency. Our research emphasizes the need for a comprehensive evaluation of microbial responses (i.e., composition, diversity, and co-occurrence patterns) to better understand multi-stressor impacts from human activities on wetland belowground microbial communities. By holistically characterizing microbial responses, our findings show how global change drivers may impact wetland microorganisms in subtropical biomes and infer their functional consequences. Our results have important implications for sustainable landscape management and conservation of wetlands that are experiencing escalating human-induced environmental changes.

Spatial Patterns in Fish Assemblages across the National Ecological Observation Network (NEON): The First Six Years

The National Ecological Observation Network (NEON) is a thirty-year, open-source, continental-scale ecological observation platform. The objective of the NEON project is to provide data to facilitate the understanding and forecasting of the ecological impacts of anthropogenic change at a continental scale. Fish are sentinel taxa in freshwater systems, and the NEON has been sampling and collecting fish assemblage data at wadable stream sites for six years. One to two NEON wadable stream sites are located in sixteen domains from Alaska to Puerto Rico. The goal of site selection was that sites represent local conditions but with the intention that site data be analyzed at a continental observatory level. Site selection did not include fish assemblage criteria. Without using fish assemblage criteria, anomalies in fish assemblages at the site level may skew the expected spatial patterns of North American stream fish assemblages, thereby hindering change detection in subsequent years. However, if NEON stream sites are representative of the current spatial distributions of North American stream fish assemblages, we could expect to find the most diverse sites in Atlantic drainages and the most depauperate sites in Pacific drainages. Therefore, we calculated the alpha and regional (beta) diversities of wadable stream sites to highlight spatial patterns. As expected, NEON sites followed predictable spatial diversity patterns, which could facilitate future change detection and attribution to changes in environmental drivers, if any.

Changes in Soil Fungal Diversity and Composition along a Rural–Urban Gradient

The functioning of forest ecosystems depends on the taxonomic and ecological diversity of soil fungi. Urbanization is increasing worldwide and is regarded as a key driver of environmental change altering local species assemblages in urban forest. We investigated whether the degree of urbanization and local forest characteristics affect the soil fungal community in 20 beech forests located along a rural–urban gradient in the city of Basel and its suburbs (Switzerland). We analyzed their soil fungal communities by DNA metabarcoding of the rDNA ITS2 region and related these data to local forest vegetation characteristics and soil properties. The number of fungal OTUs in the 20 forests examined ranged from 170 to 303. Richness, diversity and evenness of fungal communities were all significantly affected by the degree of urbanization, but in different ways. Soil fungal richness was highest in forests in areas with a low degree of urbanization and lowest in forests in rural areas. In contrast, the fungal community diversity increased with the increasing degree of urbanization. Different fungal phyla and fungal guilds showed distinct patterns in their relative abundance along the rural–urban gradient. The degree of urbanization reduced the relative abundance of symbiotrophic fungi, but increased that of saprotrophic and pathotrophic fungi. Our results show that urbanization changes soil fungal community, which in turn can lead to alterations in forest ecosystems.

Accountability in the Anthropocene: Activating responsible agents of reform or futile finger‐pointing?

AbstractConfronted by intersecting ecological and social crises associated with the rise of the Anthropocene, architects of global environmental governance have often attempted to harness accountability claims to single out the individual or organisational actors contributing most significantly to these crises and pressure them to uphold responsibilities to society and the planet. Yet critics have cautioned against excessive reliance on individualised accountabilities as means of tackling planetary crises, given the constrained ability of such approaches to lead the large‐scale transformations required to redirect anthropogenic drivers of global environmental change. This article adapts agent‐centered approaches to accountability to address such critiques. It is first argued that agent‐centered accountability is an important element in broader efforts to support systemic change, helping to identify responsible powerholders, redefine normative standards of responsibility and empower advocates of strengthened global environmental governance to demand compliance with expanded responsibilities. However to take seriously the distinctive demands of large‐scale institutional change, such approaches need to be: (a) differentiated in ways that account for the contrasting roles of different individual and organisational actors within de‐centred accountability systems; (b) materially extended in ways that enable agents to be held more effectively to account for their contributions to collective social and political processes; and (c) discursively challenged in ways that resist discursive efforts to present individualised accountabilities as substitutes for more radical and large‐scale institutional interventions. The article's argument is elaborated and illustrated through exploration of problems and practices of accountability associated with the contested governance of global production systems.

Light pollution of freshwater ecosystems: principles, ecological impacts and remedies.

Light pollution caused by artificial light at night (ALAN) is increasingly recognized as a major driver of global environmental change. Since emissions are rapidly growing in an urbanizing world and half of the human population lives close to a freshwater shoreline, rivers and lakes are ever more exposed to light pollution worldwide. However, although light conditions are critical to aquatic species, and freshwaters are biodiversity hotspots and vital to human well-being, only a small fraction of studies conducted on ALAN focus on these ecosystems. The effects of light pollution on freshwaters are broad and concern all levels of biodiversity. Experiments have demonstrated diverse behavioural and physiological responses of species, even at low light levels. Prominent examples are skyglow effects on diel vertical migration of zooplankton and the suppression of melatonin production in fish. However, responses vary widely among taxa, suggesting consequences for species distribution patterns, potential to create novel communities across ecosystem boundaries, and cascading effects on ecosystem functioning. Understanding, predicting and alleviating the ecological impacts of light pollution on freshwaters requires a solid consideration of the physical properties of light propagating in water and a multitude of biological responses. This knowledge is urgently needed to develop innovative lighting concepts, mitigation strategies and specifically targeted measures. This article is part of the theme issue 'Light pollution in complex ecological systems'.

Disentangling environmental drivers of subarctic dinocyst assemblage compositional change during the Holocene

Abstract. Analysis of compositional changes in fossil organic-walled dinoflagellate cyst (dinocysts) assemblages is a widely used tool for the quantitative reconstruction of past environmental parameters. This approach assumes that the assemblage composition is significantly related to the reconstructed environmental parameter, which requires an independent correlation between the assemblage and the variable, meaning that the variable explains a dimension of the assemblage variance that is not also explained by other parameters. Theoretically, dinocyst assemblages can be used to reconstruct multiple environmental variables. However, there is evidence that primary and subordinate drivers for assemblage compositions regionally differ, and it remains unclear whether a significant relationship to specific parameters in the present ocean always implies that this relationship is significant in fossil assemblages, questioning if past changes in these multiple parameters can be reconstructed simultaneously from fossil assemblages. Here, we analysed a local subset of the Northern Hemisphere dinocyst calibration dataset (n=1968), including samples from the Baffin Bay area (n=421), and evaluated the benefits of a local versus a more regional or global calibration for the environmental reconstruction of Baffin Bay oceanography during the Holocene. We determined the dimensionality of the dinocyst ecological response and identified environmental drivers in the Baffin Bay area for the modern dataset. We analysed four existing Holocene records along a north–south transect in the area and evaluated the statistical significance of downcore reconstructions by applying the local and global datasets with different techniques: the modern analogue technique (MAT), the weighted average partial least square (WA-PLS) and maximum likelihood (ML). We evaluated reconstructions tested as significant in light of the existing state of knowledge about West Greenland's Holocene palaeoceanography. Our analyses imply that present-day and Holocene dinocyst assemblages in the Baffin Bay area are primarily driven by salinity changes; other parameters were less important in driving assemblage compositions, and their contribution differed among the studied records. We show that the objectively occurring and temporally coherent shifts in dinocyst assemblages in the Holocene of Baffin Bay can be robustly interpreted only by transfer functions that are locally calibrated. Transfer functions based on the broad Northern Hemisphere calibration yielded many insignificant environmental reconstructions. At the same time, we show that even in the local calibration, not all parameters that appear to significantly affect dinocyst assemblages in the calibration dataset can be meaningfully reconstructed in the fossil record. A thorough evaluation of the calibration dataset and the significance of downcore applications is necessary to reveal the region-specific information contained in dinocyst assemblage composition.

Complex Problems and Media Norms: Understanding Coastal Development and Ecological Impacts in Florida Through Discourse Analysis

ABSTRACT Media analysis has been applied to the complex challenges of development and urban sprawl, but to date no study examines how coastal development is understood in relation to critical marine and estuarine ecosystems. As anthropogenic pressures increasingly reshape coastal ecosystems, efforts to understand how problems and solutions are framed in public discourse are timely and valuable. We present a case study of media coverage and framing of development and the environment in Florida, USA, where coastal development and attendant consequences have been emergent for decades (n = 645). Findings explore how drivers of environmental change and the effects of environmental changes are discussed, what potential solutions are considered, and how actors and trade-offs are characterized. We identify two parallel but discrete narratives: one offering disjointed episodic coverage of particular development projects, and one providing larger-scale contextualized discussion of development and the environment more broadly. We discuss the implications for policy and collective action of the disconnect between these two narratives.

Development of a new method framework to estimate the nonlinear and interaction relationship between environmental factors and soil heavy metals

The intricate and multifaceted nature of soil system profoundly influences the highly complex and often nonlinear changes that soil heavy metals (HM) undergo. Spatial heterogeneity, location and scale variability, and the interaction and superposition among environmental drivers challenged researchers to determine the sophisticated nature of soil HMs changes at the regional scale. This study aims to develop a new method framework and selects Ningbo as the case study to apportion the environmental factors responsible for soil HMs pollution that include Cd, Cr, Pb, Hg, As, Cu, Zn and Ni, focusing on nonlinearity and interaction. We harnessed the Random Forest model to apportion the environmental drivers of soil HM change. The directionality and shape of the nonlinear relationship between HMs and their individual contributors were derived by Partial Dependence Plots. The interactions of multiple drivers were quantitatively assessed by the Conditional Inference Tree. Our results demonstrated that soil HMs in the study area varied spatially. Soil HMs pollution was mitigated by natural factors and anthropogenic factors. The main influencing factors were pH, soil parent material type, enterprise activities, and agricultural application. The effects of some factors on soil HMs showed a monotonic linear trend, but some have apparent threshold effects. The direction of influence on soil HMs will shift when pH and phosphate fertilizer reach a specific value. The addition of enterprises in the area would rarely have an impact on the HMs pollution once it reached around 2 per km2 because of the industrial agglomeration. Soil HM concentrations were mainly from multi-pollutants and were governed by a combination of environmental factors. Our study provided managers and policymakers with site-specific and definite guidelines for preventing and controlling soil HM pollution.

High-resolution land use and land cover dataset for regional climate modelling: historical and future changes in Europe

Abstract. Anthropogenic land use and land cover change (LULCC) is a major driver of environmental changes. The biophysical impacts of these changes on the regional climate in Europe are currently being extensively investigated within the World Climate Research Program (WCRP) Coordinated Downscaling Experiment (CORDEX) Flagship Pilot Study (FPS) Land Use and Climate Across Scales (LUCAS) using an ensemble of different regional climate models (RCMs) coupled with diverse land surface models (LSMs). In order to investigate the impact of realistic LULCC on past and future climates, high-resolution datasets with observed LULCC and projected future LULCC scenarios are required as input for the RCM–LSM simulations. To account for these needs, we generated the LUCAS Land Use and land Cover change (LUC) dataset version 1.1 at 0.1∘ resolution for Europe with annual LULC maps from 1950 to 2100 (https://doi.org/10.26050/WDCC/LUC_hist_EU_v1.1, Hoffmann et al., 2022b, https://doi.org/10.26050/WDCC/LUC_future_EU_v1.1, Hoffmann et al., 2022a), which is tailored to use in state-of-the-art RCMs. The plant functional type (PFT) distribution for the year 2015 (i.e. the Modelling human LAND surface Modifications and its feedbacks on local and regional cliMATE – LANDMATE – PFT dataset) is derived from the European Space Agency Climate Change Initiative Land Cover (ESA-CCI LC) dataset. Details on the conversion method, cross-walking procedure, and evaluation of the LANDMATE PFT dataset are given in the companion paper by Reinhart et al. (2022b). Subsequently, we applied the land use change information from the Land-Use Harmonization 2 (LUH2) dataset, provided at 0.25∘ resolution as input for Coupled Modelling Intercomparison Project Phase 6 (CMIP6) experiments, to derive LULC distributions at high spatial resolution and at annual time steps from 1950 to 2100. In order to convert land use and land management change information from LUH2 into changes in the PFT distribution, we developed a land use translator (LUT) specific to the needs of RCMs. The annual PFT maps for Europe for the period 1950 to 2015 are derived from the historical LUH2 dataset by applying the LUT backward from 2015 to 1950. Historical changes in the forest type changes are considered using an additional European forest species dataset. The historical changes in the PFT distribution of LUCAS LUC follow closely the land use changes given by LUH2 but differ in some regions compared to other annual LULCC datasets. From 2016 onward, annual PFT maps for future land use change scenarios based on LUH2 are derived for different shared socioeconomic pathway (SSP) and representative concentration pathway (RCP) combinations used in the framework of CMIP6. The resulting LULCC maps can be applied as land use forcing to the new generation of RCM simulations for downscaling of CMIP6 results. The newly developed LUT is transferable to other CORDEX regions worldwide.

Human-driven global nutrient imbalances increase risks to health

Human-induced inputs of nitrogen (N) and phosphorus (P) into the biosphere have reached unprecedented levels, particularly N, leading to an escalating global anthropogenic N:P ratio. This ratio has emerged as a significant driver of environmental change, impacting organisms, ecosystems, and global food security. However, the implications of this ratio for human health have been largely overlooked and remain uncertain. This article aims to fill this knowledge gap by exploring the potential effects of N:P ratios on both non-infectious and infectious diseases. Preliminary data emphasize the importance of investigating the influence of N:P ratios on human health, suggesting a potential role in the rise of non-infectious diseases, such as cancer, as well as the proliferation of infectious diseases, including Zika and malaria. These findings highlight the urgent need for increased attention from the scientific community and policymakers regarding the complex impacts of the human-induced biospheric N:P ratio. It is crucial to investigate and understand the underlying mechanisms and drivers behind these effects. Furthermore, there is significant potential for improving human health through the manipulation of N:P ratios and the availability of N and P. This applies not only to medical treatments but also to innovative fertilizer management strategies. These avenues present promising opportunities to address the challenges associated with human health in an ever-changing world.

Land use change in rapidly developing economies-a case study on land use intensification and land fallowing in Kochi, Kerala, India.

The land use/land cover change is a local driver of environmental change having cascading impacts and implications at the global level, and therefore requires appreciable consideration when perceived from sustainability perspectives. Kerala, the southernmost state of India, has undergone a dramatic transition from a traditional agrarian economy to a modern thriving economy involving the irrational exploitation of natural resources, precisely, land and its components. The present study addresses how land is being changed along an urbanization gradient in the most agglomerative city in the state, Kochi, during the last one and half decades. High-resolution remote sensing data available from the Google Earth Pro pertaining to the four time periods, i.e., 2005, 2010, 2015, and 2020, representing urban, suburban, and rural areas, were analysed to estimate the changes in land use land cover. A semi-structured interview was conducted at the household level to identify the major drivers of land use change. The results indicated the presence of two major and divergent trends; the first one is the intensification of land use activities at the rate of 1.37% per annum, primarily driven by urbanization and infrastructure developments, and the second one is the fallowing and abandonment of land (at the rate of 0.21% per annum) driven by the increased cost of cultivation. The rates of change are more prominent in the rural areas while the urban grids are nearing saturation occupying nearly two-thirds of the area with urban features at the expense of greenery. Though the progression with respect to urbanization and infrastructure developments is expected, the fallowing and abandonment of land is unanticipated, raising serious questions in the developmental pathways to achieve Sustainable Development Goals in the State of Kerala.

Linking upwelling intensity and orbital-scale climate variability in South Africa's winter rainfall zone: Insights from a ∼70,000-year hyrax midden record

The climate of Africa's southwestern Cape is characterised by a strongly seasonal winter precipitation regime, with late Quaternary climate variability generally considered to have been driven by the position of the southern westerlies. This paper presents a unique ∼70,000 year-long palaeoclimatic record from a rock hyrax midden from South Africa's winter rainfall zone, enabling the analysis of regional climate systems since the beginning of marine isotope stage 4. The data suggest that the last glacial period was relatively humid compared to the Holocene, likely due to cooler temperatures, more extensive Antarctic sea-ice extent and an equatorward displacement of the westerly storm track. However, orbital-scale climate variability associated with the 23 kyr precessional cycle primarily correlates with changes in upwelling intensity in the Benguela system, implying an important role for the blocking of tropical easterly flow in driving long-term climatic variability. These factors combined during glacial periods to significantly amplify rainfall seasonality in the southwestern Cape, bringing more winter rainfall via mid-latitude frontal systems, while reducing the proportion of summer rainfall, particularly during the glacial periods of the late Quaternary. The results therefore highlight the need to consider a complex suite of circulation systems and dynamics when inferring drivers of long-term environmental change in the region.

Research on coupled socio‐ecohydrological systems—implementing a highly integrative and interdisciplinary research agenda in the Doctoral School “Human River Systems in the 21st Century (HR21)”

AbstractThe access to an adequate quantity and quality of water is vital to sustain healthy ecosystems and human socioeconomic development. However, the shift from an agrarian, solar energy based to an industrialized, fossil fuel‐based socio‐metabolic regime has put natural water resources under stress and led to dramatic transformations of riverine landscapes in the Anthropocene. Thus, we need interdisciplinary research approaches that integrate the knowledge and methods from ecology, humanities, and engineering. The Doctoral School “Human River Systems in the 21st Century” (HR21) studies riverine landscapes as coupled socio‐ecohydrological systems (SEHS) within four research clusters, that is, connectivity, metabolism, vulnerability, and governance. HR21 analyzes the transformation processes and coevolution of nature and society in rivers and their response to future environmental, social, cultural, and economic drivers of change. HR21 aims to improve the understanding of the coupling of the socioeconomic, ecological, and hydrological systems within industrialized riverine landscapes to support their urgent, more sustainable transformation. To discuss how this agenda can be implemented, five different HR21 PhD projects are presented, clearly routed in one scientific domain, applying a combination of the research clusters and addressing various topics: (i) hydropower effects in high alpine river ecosystems, (ii) wastewater impacts on carbon storage and greenhouse gas fluxes in tropical wetlands, (iii) the nutrient retention and ecosystem service potential of floodplains in large river catchments, and the influence of hydrometeorological variables on (iv) the runoff response and on (v) the transit time distribution of runoff, both impacting water resource management at the basin level. These examples highlight how disciplinary PhD research can be framed within an interdisciplinary research agenda to coupled SEHS.

Effects of Multiple Drivers of Environmental Change on Native and Invasive Macroalgae in Nearshore Groundwater Dependent Ecosystems

AbstractGroundwater dependent ecosystems (GDE) are increasingly recognized as critical components of sustainable groundwater management, but are threatened by multiple drivers of environmental change. Despite this importance, data that link drivers of hydrologic change to GDEs are scarce. This study adapts a land‐sea modeling framework by calibrating marine models with macroalgal experiments to quantitatively assess impacts of climate and land use change on submarine groundwater discharge (SGD) and subsequent habitat suitability for a native (Ulva lactuca) and an invasive (Hypnea musciformis) macroalgae in nearshore GDEs in Kona, Hawai'i. Lab analyses demonstrate that while U. lactuca grows optimally in low‐salinity, high‐nutrient waters, H. musciformis appears constrained to a salinity threshold and exhibits low growth in low salinity despite high nutrient concentrations. Land‐sea model results predict that while a dry future climate (Representative Concentration Pathway 8.5 mid‐century) coupled with increased urban development will likely reduce SGD, protecting native forests may prevent further loss of SGD quantity. This prevention thus partially mitigates the decline in habitat suitability of U. lactuca due to the combined effects of climate and land use change. Findings also suggest that, in contrast to the native U. lactuca, reductions in SGD may favor H. musciformis growth if introduced to Kona. Collectively, this study demonstrates the importance of considering multiple drivers of environmental change on GDEs. This study bridges experiments with models to spatially map changes in species abundance beyond their current habitat conditions, and thus informs management actions that can explicitly incorporate future human and climate‐related impacts.

Pollen and Molecular Biomarkers from Sedimentary Archives in the Central Po Plain (N Italy): Assessing Their Potential to Deepen Changes in Natural and Agricultural Systems

This paper proposes to improve the information provided by biological indicators from sedimentary archives by integrating biomolecular techniques and botanical skills. This study represents a first proposal for combining pollen and biomolecular markers to detect land use and improve knowledge of past environmental change drivers. The specific aim of the research is to verify the relationship between miliacin (a pentacyclic triterpene methyl ether, usually interpreted as a broomcorn millet biomarker) and Panicum pollen in three near-site stratigraphic sequences of the Terramara S. Rosa di Poviglio (Po Plain, N Italy). The three cores span the last ~15,000 years and potentially record the beginning of Panicum miliaceum cultivation attested in the area since at least the Bronze Age within the Terramare culture. Despite the fact that Panicum pollen grains were rare in the spectra and miliacin was barely detectable in most of the 31 samples selected for biomolecular analyses, their combined evidence testifies to the local presence of the plant. Panicum pollen and sedimentary miliacin suggest the adoption of millet crops during the Recent Bronze Age by the Terramare culture, when climatic instability led to the diversification of cereal crops and the shift to drought-tolerant varieties.

Plant invasion shifts soil microbiome and physico-chemical attributes along an elevational gradient in Kashmir Himalaya.

Soil microbial communities, being situated at the interface of aboveground plant and belowground soil systems, can play a pivotal role in determining ecosystem response to the drivers of global environmental change, including invasive species. In mountains, invasive plants occurring along elevational gradients offer a unique natural experimental system to investigate the impact of invasions in determining patterns and relationships of soil microbial diversity and nutrient pools at much shorter spatial distances. Here, we studied the impact of a global plant invader, Leucanthemum vulgare, on the diversity of soil microbiome and physico-chemical attributes along an elevational gradient (1760-2880m) in Kashmir Himalaya. We used Illumina MiSeq platform to characterize the soil microbiome in pair-wise invaded and uninvaded plots at four different sites along the gradient. We found a total of 1959 bacterial operational taxonomic units (OTUs) belonging to 152 species, and a relatively higher number of 2475 fungal OTUs belonging to 589 species. The α-diversity of soil microbiome showed a gradual increase from low to high elevation and differed significantly (p < 0.05) between the invaded and uninvaded plots. The β-diversity revealed distinct microbiome clustering among the sampling sites. Plant invasion also altered soil physico-chemical attributes along the elevational gradient. Overall, our findings suggest that the L. vulgare-induced shifts in soil microbiome and nutrient pools may be a belowground self-reinforced mechanism to facilitate its successful invasion along the elevational gradient. Our study provides new insights into invasive plant-microbe relationships with wide implications for climate warming-driven elevational range shifts in mountains.

Effects of Environmental Change on Species Diversity

Purpose: The aim of the study is to assess the effects of environmental changes on species diversity&#x0D; Methodology: This study adopted a desktop methodology. This study used secondary data from which include review of existing literature from already published studies and reports that was easily accessed through online journals and libraries&#x0D; Findings: The study found that environmental changes, such as deforestation, habitat fragmentation, and urbanization, lead to a decline in species diversity. Climate change has emerged as a critical driver of changes in species diversity. Rising temperatures, altered precipitation patterns, and sea-level rise have caused shifts in species distributions, changes in community composition, and reductions in species richness. Pollution including water and air pollution, has detrimental effects on species diversity especially in aquatic ecosystems.&#x0D; Unique Contribution to Theory, Practice and Policy: The study was anchored on the theory of island biogeography which was propounded by Robert MacArthur and E. O. Wilson and niche theory which was originally proposed by G.E. Hutchinson. The study recommended that conservation efforts should prioritize habitat preservation and restoration. Protecting and restoring natural habitats is crucial for maintaining species diversity. Conservation practices should focus on minimizing habitat loss, creating ecological corridors, and rehabilitating degraded habitats. Environmental policies and regulations should be designed to mitigate the drivers of environmental change and promote sustainable practices.

Zooplankton in the Technogenic Aquatic Ecosystem of the North Crimean Canal, the Longest in Europe

The construction and use of navigation and irrigation canals are among the common human alterations in landscapes and ecosystems. The North Crimean Canal (NCC) is the longest in Europe; its main branch is 403 km, and the total of all its branches exceeds 10,000 km. It is a main driver of the significant environmental changes in an all-arid part of Crimea. No zooplankton studies in the canal have been carried out up to this time at all. In 2022, zooplankton was studied in different sites from May to October. Total zooplankton abundance fluctuated between 170 and 19,560 ind. m−3, and wet biomass between 0.75 and 1057 mg m−3. In total, 11 Rotifera species, 11 Cladocera species, and 15 Copepoda species, including 2 Harpacticoida, 5 Calanoida, and 8 Cyclopoida, were found in plankton. The most common Rotifera species were Brachionus calyciflorus, Euchlanis dilatate, and Keratella cochlearis. Among Cladocera, Chydorus sphaericus, Bosmina longirostris, and Coronatella rectangular have the highest frequency of occurrence. In Copepoda, these were Acanthocyclops vernalis, Eurytemora affinis, and Nitocra typica. Among the 37 species found in NCC, 10 were not previously noted in the water bodies of Crimea. Among rotifers, they were Ploesoma hudsoni, Polyarthra dolichoptera, Pompholyx complanata, Synchaeta grandis, and Synchaeta stylata. Bosminopsis zernowi, Rhynchotalona rostrata, and Scapholeberis mucronata were not noted before among Cladocera. Eurytemora lacustris and Cyclops smirnovi were first found in Crimea among Copepoda. New technogenic aquatic ecosystems such as NCC are the “gateway” for the invasion of alien species into the new regions.

From pollution to prosperity: Investigating the Environmental Kuznets curve and pollution-haven hypothesis in sub-Saharan Africa's industrial sector

Drivers of environmental change and policy processes are pushing the sub-Saharan African region to do more in the struggle against climate change as the region suffers most from climate change impact. To this end, this study investigates how the interaction effects of a sustainable financing model in energy use influence carbon emissions in Sub-Saharan African economies. It is based on the theory that energy consumption is determined by increased economic financing. Panel data analysis of thirteen countries from 1995 to 2019 is used to explore the interaction effect on CO2 emissions, taking a market-induced energy demand perspective. The study employed the fully modified ordinary least squares technique, removing all heterogeneity effects in a panel estimation. The econometric model was estimated with (and without) the interaction effect. The study finds support for the Pollution-Haven hypothesis and the Environmental Kuznets “inverted U-shaped” Curve Hypothesis in the region. It identifies a long-run relationship between the financial sector, economic activity, and CO2 emissions, with fossil fuel consumption in industrial activities increasing CO2 emissions by about 2.5 times. However, the study also reveals that the interactive effect of financial development can significantly reduce CO2 emissions, providing important implications for policymakers in Africa. The study suggests regulatory incentives to encourage banking credit intermediation for environmentally friendly energy sources. This research makes a valuable contribution to understanding the environmental impact of the financial sector in sub-Saharan Africa, an area that has received limited empirical attention. The findings highlight the relevance of the financial sector for policy formulation in addressing environmental issues in the region.

Modeling and Predicting Land Use/Land Cover Change Using the Land Change Modeler in the Suluh River Basin, Northern Highlands of Ethiopia

Land use and land cover change are among the drivers of environmental change. The Suluh River Basin’s land use and land cover are modeled in this study using a land change modeler. To accomplish the goals of this study, Landsat images and ancillary data sources were utilized. In eCognition Developer 9.2 software, nearest neighbor fuzzy classification was used to classify Landsat images. With the IDRISI Selva 17.3 software, change detection and modeling were carried out. Both qualitative and quantitative analyses of the data were conducted. The results showed that, despite a drop in forest land of 97.2%, grazing land of 89.8%, plantation land of 89.1%, shrub-bush land of 1.5%, and water bodies of 84.8% from 1990 to 2002, bare land increased by 10.6%, built-up land by 29.4%, and cultivated land by 65.4%. The model projects, bare, built-up, and cultivated land will increase at the cost of water bodies, grazing, forest, shrub-bush, and plantation land between the years 2028 and 2048. Rainfall, slope, height, distance to rivers, distance to highways, distance from towns, and population density were the main determinants of LULC change in the study area. Therefore, in order to promote sustainable development, safeguard the river basin, and lessen the severity of the changes, appropriate management and timely action must be taken by policymakers and decision makers.