Landscape Change Research Articles

Global Trade Tensions: Analyzing the WTO Legality of the U.S. Inflation Reduction Act and Strategic Responses

With the profound changes in the global economic landscape and the increasing proximity of the United States and China in terms of power contrasts, the hegemonic anxiety of the U.S. has been increasing, leading to the adoption of a series of protection measures in the field of trade. Among them, the Inflation Reduction Act, as an important part of the U.S. trade protectionist policy, its implementation has not only aggravated the tension in international trade, but also violated the relevant rules of the World Trade Organization (WTO). This paper elaborates the specific content of the Act and its impact on international trade, especially its large-scale subsidy policy in the field of green energy and its potential impact on the global supply chain. Subsequently, this paper analyzes in depth the illegality of the Act under the WTO framework from the perspective of prohibited subsidies and non-discriminatory principles, and argues with specific cases. Finally, this paper puts forward China's response strategy, aiming to provide theoretical support and practical guidance for China in dealing with U.S. trade protectionist policies. The purpose of this paper is to reveal the nature and impact of the U.S. trade protectionism policy, to provide theoretical support for China to safeguard its legitimate rights and interests in global trade, and to provide useful reflections and insights for China to promote trade liberalization and facilitation, strengthen international cooperation, and jointly respond to challenges in the context of global economic integration.

A Great Leap Forward: Changing Landscape of Shadow Energy-Maritime Economy Off the Coast of Nigeria

The Atlantic coast of Nigeria, especially the Niger Delta corridor is a dynamic energy-maritime space. The region witnesses a trend in continuous evolution, propelled by the intersection of the upper world and underworld economic activities, with several individual and institutional actors at its core. The underworld end of the socio-economic spectrum on which this coastal region of Nigeria is anchored is known for its robustness and has attracted significant scholarly attention. In furtherance of scholarly interrogation of the region’s informal economy, this paper critically analyses the pervasiveness, entrenchment, and dynamics of shadow energy activities in the Niger Delta. Primarily, in a theoretical construction, the study discusses trends, patterns, and overlaps in the transition of energy-maritime shadow activities in the region. The study adopts a qualitative research method; combining primary data with a synthesis of the extant literature on the region’s shadow economy and the involvement of organised crime in the region’s energy-maritime landscape. The objective of the study flows from the fact of a great leap forward in shadow economy in the region through different social realities- grievance, greed, illegality, and organised crime. The paper develops a hybrid theory of crime; enterprise-value chain as an analytical archetype to explain the latest stage in the evolution of the underworld, shadow energy-maritime activities off the coast of Nigeria.

Space-for-time substitutions exaggerate urban bird-habitat ecological relationships.

North American bird abundance has declined by 29% over the last 50 years. These continental population dynamics interact with local landscape changes to affect local bird diversity. Mitigating local declines in cities is particularly significant because (a) such declines greatly impact human-bird relationships since most people live in cities and (b) cities provide levers to create bird-friendly habitat, such as managing yards and gardens, street trees, and urban parks. Yet, the potential for cities to modify habitats to mitigate broader bird declines remains unclear. Studies have been stymied by the difficulty of assembling mutidecadal habitat-bird population datasets. Instead, studies have substituted space for time (e.g. used habitat associations across space at one time point to project future species abundance due to changing land use), but this method may fail amidst nonstationary environments of the Anthropocene. Here, we test the validity of space-for-time substitutions for explaining changes in bird abundance in a North American city over the past two decades by examining the degree to which these changes are explainable by changes in local landcover at multiple spatial scales. Specifically, we use longitudinal urban bird surveys of Metro Vancouver, BC, Canada from 1997 and 2020; deep learning models of remote sensing data to classify contemporaneous landcover; out-of-sample prediction and boosted regression trees to identify multiple spatial scales of landcover that best explained bird abundance (i.e. optimal scale of effect for each species by each habitat); and Bayesian multispecies abundance models in Stan to determine relationships between changes in landcover and bird abundance. We found that total bird abundance declined by 26% over the last two decades. Landcover measured at both 50 m and optimal scales explained spatial variation in bird abundance, but only landcover at the optimal scale explained temporal changes, and only partially. These results suggest that space-for-time substitutions overemphasize habitat-bird ecological relationships, urban habitats only partially determine bird abundance, and measuring habitat at the appropriate scale is important for capturing the most relevant changes in landscapes.

Are Neutrality Targets Alone Sufficient for Protecting Nature? Learning From Land Cover Change and Land Degradation Neutrality Targets in Mauritius

ABSTRACTLand degradation contributes to loss of land productivity, climate change, and biodiversity loss worldwide, making the monitoring of land cover change a fundamental component of sustainable land use planning. To facilitate this task, international research organizations publish increasingly high‐quality global land cover data, yet those are still proving too imprecise at the scale of Small Island Developing States (SIDS) such as Mauritius. Though rapidly developing, Mauritius does not have a locally produced land cover map which is consistently updated and made available to the public in the scope of participatory planning processes. This study sought to bridge this gap by revising a 2010 land cover map of Mauritius island and producing a new map for 2020, which can serve as a basis for future updates through a consistent methodology that combines photointerpretation and semi‐automated classification from various datasets. These maps enabled the observation of key changes in the island's landscape, which are consistent with socio‐economic events, namely the decline of agricultural coverage (12.7%) due to the phasing out of preferential trade agreements for sugar, and the expansion of real estate (14.3% increase in built area) following new investment promotion policies. Considering the small size and high population density of the island, as is the case for SIDS, these developments and the Land Degradation Neutrality Targets of Mauritius bring the feasibility of area‐based land degradation neutrality into question and call for the analysis of land and ecosystem conditions through additional indicators.

Endophytic Bacillus velezensis GsB01 controls Gleditsia sinensis wilt by secreting antifungal metabolites and modulates symbiotic microbiota within trees.

Identifying effective biological control agents against fungal pathogens and determining their mechanisms of action are important in the control of plant diseases. In this study, we isolated an endophytic bacterial strain, GsB01, from the branches of asymptomatic Gleditsia sinensis. Multi-locus sequence analysis identified the strain as Bacillus velezensis. GsB01 exhibited significant antifungal activity against Thyronectria austroamericana, the causative agent of G. sinensis wilt. Liquid chromatography-mass spectrometry identified four consistently present antimicrobial compounds in GsB01 metabolite fractions with high antifungal activity: macrolactin A, bacillaene A, surfactin, and iturin. GsB01's active metabolite fractions altered the metabolic profiles of T. austroamericana, disrupting seven pathways, including arginine biosynthesis, nucleotide metabolism, purine metabolism, and the pentose phosphate pathway. Furthermore, absolute quantitative polymerase chain reaction analysis suggested that GsB01 may increase the abundance of endophytic bacteria in G. sinensis. The 16S rRNA amplicon sequencing revealed changes in the endophytic landscape in stems and roots following GsB01 introduction, particularly with significant variation in the dominant bacterial genera within the stems. The study highlights GsB01's potential against plant wilt and suggests that its antifungal activity is achieved by secreting antifungal metabolites. The study also recorded changes in the symbiotic microbiota within trees that had been infected with a pathogenic fungus and subsequently treated with an endophytic antagonistic bacterial strain. © 2024 Society of Chemical Industry.

Pre-service teachers’ technological pedagogical and content knowledge (TPACK): their readiness for online instruction

ABSTRACT Rapid changes and greater complexities bring new difficulties and place new expectations on our educational system. Teacher education programs must adapt to these changes and train pre-service teachers in various learning modalities. This study determined the readiness of pre-service teachers to teach online based on their technological pedagogical and content knowledge (TPACK) when they are grouped based on their profile. Through proportional random sampling, 400 third-year pre-service teachers were surveyed using comparative research. No significant difference in the readiness of pre-service teachers to online instruction based on their TPACK when grouped according to their sex and specialization. However, it was found that the respondents when grouped according to their specialization were different in terms of their Technological Knowledge and Technological Content Knowledge. This study suggests that as the era of technological changes emerged, the abilities of preservice teachers must be highly targeted to cope with dramatic changes in the educational landscape.

Energy landscape of conformational changes for a single unmodified protein

Resolving the free energy landscapes that govern protein biophysics has been obscured by ensemble averaging. While the folding dynamics of single proteins have been observed using fluorescent labels and/or tethers, a simpler and more direct measurement of the conformational changes would not require modifications to the protein. We use nanoaperture optical tweezers to resolve the energy landscape of a single unmodified protein, Bovine Serum Albumin (BSA), and quantify changes in the three-state conformation dynamics with temperature. A Markov model with Kramers’ theory transition rates is used to model the dynamics, showing good agreement with the observed state transitions. This first look at the intrinsic energy landscape of proteins provides a transformative tool for protein biophysics and may be applied broadly, including mapping out the energy landscape of particularly challenging intrinsically disordered proteins.

Evidence of repeated zoonotic pathogen spillover events at ecological boundaries

Anthropogenic modifications to the landscape have altered several ecological processes worldwide, creating new ecological boundaries at the human/wildlife interface. Outbreaks of zoonotic pathogens often occur at these ecological boundaries, but the mechanisms behind new emergences remain drastically understudied. Here, we test for the influence of two types of ecosystem boundaries on spillover risk: (1) biotic transition zones such as species range edges and transitions between ecoregions and (2) land use transition zones where wild landscapes occur in close proximity to heavily impacted areas of high human population density. Using ebolavirus as a model system and an ensemble machine learning modeling framework, we investigated the role of likely reservoir (bats) and accidental host (primates) range edges and patterns of land use (defined using SEDAC categories) on past spillover events. Our results show that overlapping species range edges and heightened habitat diversity increase ebolavirus outbreaks risk. Moreover, we show that gradual transition zones, represent by high proportion of rangelands, acts as a buffer to reduces outbreak risks. With increasing landscape changes worldwide, we provide novel ecological and evolutionary insights into our understanding of zoonotic pathogen emergence and highlight the risk of aggressively developing ecological boundaries.

Palaeosols and surfaces: what fossil soils tell us about the representation of time in some sedimentary successions

Soils and hence palaeosols develop at geomorphic surfaces comprising landscapes. As most develop they reorganize the substrate to create texturally and chemically defined units (horizons) parallel to the land surfaces and some of these horizons become lithified resembling beds. Palaeosols, in many cases do not represent hiatuses but developed during deposition and represent condensation not lost time. The degree of pedogenic reorganization can be used to estimate the temporal significance of the length of soil formation but soils are commonly polygenetic and have not followed a simple, time-related developmental pathway. The complexity of soil development is illustrated with reference to the late Silurian-early Devonian polyphase alluvial palaeosols from South Wales which provide an example of how dynamic changes in sedimentation and erosion have occurred without changes in soil processes. The significance of these polyphase palaeosol profiles is reviewed in the broader context of mid Palaeozoic landscape changes.

Mapping schistosomiasis risk landscapes and implications for disease control: A case study for low endemic areas in the Middle Paranapanema river basin, São Paulo, Brazil.

Schistosomiasis, a chronic parasitic disease, remains a public health issue in tropical and subtropical regions, especially in low and moderate-income countries lacking assured access to safe water and proper sanitation. A national prevalence survey carried out by the Brazilian Ministry of Health from 2011 to 2015 found a decrease in human infection rates to 1%, with 19 out of 26 states still classified as endemic areas. There is a risk of schistosomiasis reemerging as a public health concern in low-endemic regions. This study proposes an integrated landscape-based approach to aid surveillance and control strategies for schistosomiasis in low-endemic areas. In the Middle Paranapanema river basin, specific landscapes linked to schistosomiasis were identified using a comprehensive methodology. This approach merged remote sensing, environmental, socioeconomic, epidemiological, and malacological data. A team of experts identified ten distinct landscape categories associated with varying levels of schistosomiasis transmission potential. These categories were used to train a supervised classification machine learning algorithm, resulting in a 92.5% overall accuracy and a 6.5% classification error. Evaluation revealed that 74.6% of collected snails from water collections in five key municipalities within the basin belonged to landscape types with higher potential for S. mansoni infection. Landscape connectivity metrics were also analysed. This study highlights the role of integrated landscape-based analyses in informing strategies for eliminating schistosomiasis. The methodology has produced new schistosomiasis risk maps covering the entire basin. The region's low endemicity can be partly explained by the limited connectivity among grouped landscape-units more prone to triggering schistosomiasis transmission. Nevertheless, changes in social, economic, and environmental landscapes, especially those linked to the rising pace of incomplete urbanization processes in the region, have the potential to increase risk of schistosomiasis transmission. This study will help target interventions to bring the region closer to schistosomiasis elimination.

Beyond the 9-to-5: Unravelling the Pros and Cons of Moonlighting in Today’s Job Market

In current years, moonlighting, defined as the practice of performing multiple tasks simultaneously, has gained prominence as an integral part of the evolving business environment. The first section explains the meaning and theoretical basis of moonlight. We explore its historical background, legal implications, and impact on employee well-being through established research. The second section focuses on our research methodology, highlighting the data selection criteria included in this study, which are carefully detailed. Strong research practices ensure the accuracy of our findings. The third category classifies motivations for moonlight behaviour. From economic incentives to personal preferences, we explore why individuals choose to balance multiple roles. The fourth section includes sector-specific research that sheds light on broad moonlighting across sectors. We explore how moonlight and gig economy trends align with traditional employment models. The relationship between moonlighting and organizational commitment is explored in Section V. We examine whether moonlighting affects loyalty, participation, and performance in an employee’s primary job. Our paper concludes by summarizing the main takeaways and proposing avenues for future research. Moonlighting is a multifaceted phenomenon, and understanding its implications is critical for employees and employers alike. This study contributes to the ongoing discourse on career mobility, and provides insights for policy makers, HR professionals, and scholars alike. As organizations adapt to the changing landscape, acknowledging and addressing moonlighting practices becomes essential for sustainable workforce management.

Playback-Aided Surveys and Acoustic Monitoring in the Detection of the Endangered Forest Owlet Athene blewitti.

Monitoring rare and endangered species over the long term is challenging due to limited historical data and comparable methods. Climate and landscape changes can significantly impact species distributions, driving some to extinction. The Forest Owlet is an endangered bird considered extinct but rediscovered after 113 years in 1997. Since its rediscovery, followed by the description of its calls, there have been regular recent sightings of the species from newer locations, leading to its downlisting in the IUCN Red List from critically endangered to endangered. In the Dang region in Gujarat, India, there have been no historical records despite previous systematic ornithological studies over three decades, but have multiple sightings over the last few years. Although we now know a little more about the broad association of the species occurrence with habitat and climate variables, a major focus of this study is to estimate the reasons for the "appearance" of the Forest Owlet in Dangs. We revisited locations of past surveys to determine if the species is currently found in the study sites where it was previously unrecorded. We also examine whether new survey methods using playback of its call could enhance its detection. During resurveys, we located the Forest Owlet at new, previously unrecorded locations. Analyses of satellite imagery products revealed significant changes in the broader Dang landscape, including the loss of native forests, increased agriculture, and shifts in mean maximum temperature and rainfall. Our research suggests playback can enhance detection, although its effectiveness varies across landscapes. A detection strategy for long-term monitoring was developed using different acoustic detectors. An effective detection distance of 300 m within the habitat was achieved using automated recording units (ARUs). Although the species responds to climate and habitat change, the cause of the increased reports of this endangered species remains undetermined. However, we found increased detections using newer survey techniques involving bioacoustics. We recommend using these techniques carefully for future baseline studies, which are urgently required.

Innovative Leadership: Driving Change in Today's Corporate Landscape

Innovative Leadership: Driving Change in Today's Corporate Landscape

Correlative Activation Free Energy (CAFE) Model: Application to Viscous Processes in Inorganic Oxide Glass-Formers

We explore the concept of correlative activation free energy (CAFE) for the analysis and interpretation of viscosity data of a collection of 847 inorganic oxide glass formers that exhibit various degrees of non-Arrhenius behavior. The CAFE model formalism is strictly based on transition state theory and accounts for the variation in the activation barrier for the viscous dissipation due to the structural evolution the system undergoes upon traversing the glass transition regime. Thus, fitting parameters are meaningful in a statistical thermodynamic context. Compared to the VFT and MYEGA equations, fits using the CAFE model are more robust when extrapolating to infinite temperature because the latter encodes non-enthalpic contributions to the rate coefficient more realistically. The CAFE model-based analysis reveals a strong connection between melt fragility and the degree of change in the potential energy landscape with temperature. Accordingly, while the average ground-state potential energy of the glass forming liquid gradually increases with temperature, the energy of the activated state remains relatively invariant. Our analysis also allows one to estimate the number of atoms involved in the viscous relaxation process, which ranges from approximately 10 to 50 atoms for the oxide glass formers studied. We observe that thermally activated dynamic phenomena exhibited by glassy networks, such as the mixed alkali effect, persist into the supercooled liquid state.

Capturing the transition of historic urban landscapes using scores from Hanoi’s ancient quarter

ABSTRACT Asian cities are exposed to dynamic changes in their historic urban landscapes (HULs). However, the ways in which to quantify the degree of landscape change to guide spatial management have remained underexplored. Taking rapidly changing Hàng Buồm Street, Hanoi, Vietnam, as case study, we developed a numerical score for HULs to capture change tendencies. From onsite surveys, we defined the intensity and speed of change in trade and façades and identified vulnerable spots by mapping the scores for 131 units in 2015, 2017, and 2019. Our results showed that superficial façade changes happened regardless of the degree of trade change, and that the intense façade and trade changes happened around junctions with heavily touristified streets. We also found that aside from conventional tourism, newly emerging nighttime economies, wellness tourism, and multifunctional complexes had more intense façade changes. Based on these findings, we propose refining current management strategies by preparing stricter guidelines to control the aforementioned highly influential trades, establishing urban design project for old street to improve management of junctions especially with heavily touristified streets, and providing detailed examples of appropriate signboards that can easily be referenced by merchants and investors.

Navigating the changing landscape of BTK-targeted therapies for B cell lymphomas and chronic lymphocytic leukaemia.

The B cell receptor (BCR) signalling pathway has an integral role in the pathogenesis of many B cell malignancies, including chronic lymphocytic leukaemia, mantle cell lymphoma, diffuse large B cell lymphoma and Waldenström macroglobulinaemia. Bruton tyrosine kinase (BTK) is a key node mediating signal transduction downstream of the BCR.The advent of BTK inhibitors has revolutionized the treatment landscape of B cell malignancies, with these agents often replacing highly intensive and toxic chemoimmunotherapy regimens as the standard of care. In this Review, we discuss the pivotal trials that have led to the approval of various covalent BTK inhibitors, the current treatment indications for these agents and mechanisms of resistance. In addition, we discuss novel BTK-targeted therapies, including covalent, as well as non-covalent, BTK inhibitors, BTK degraders and combination doublet and triplet regimens, to provide insights on the best current treatment paradigms in the frontline setting and at disease relapse.

Impact of Forest Landscape Patterns on Ecological Quality in Coastal Cities of Fujian, China, from 2000 to 2020

The Fujian coastal zone, a key region in China’s coastal belt, has experienced significant landscape and ecological changes due to intense human activities. Understanding the relationship between landscape patterns and ecological quality is critical for sustainable development and ecological protection. Taking the coastal cities, including Fuzhou, Xiamen, and Ningde in Fujian Province of China, as a case, the spatio–temporal changes in landscape patterns and the remote sensing-based ecological index (RSEI) during 2000 and 2020 were explored by the Google Earth Engine (GEE) cloud platform, and then their spatial relationships were identified through Pearson correlation analysis and bivariate spatial autocorrelation analysis. The findings reveal that (1) forest land was the dominant landscape in Fuzhou and Ningde, while cropland prevailed in Xiamen. Significant changes occurred in the land use landscape patterns of the three cities, mainly due to a substantial increase in the built-up land and varying degrees of reduction in arable and forest land. At the landscape level, both Fuzhou and Xiamen exhibited increased landscape fragmentation, while Ningde showed a trend of landscape aggregation; at the class level, forest land in Fuzhou and Xiamen exhibited increased fragmentation, whereas in Ningde, it showed an aggregation trend. (2) Between 2000 and 2020, the ecological–environmental quality of Fuzhou and Ningde continuously improved, while the improvement in Xiamen was less significant. Poor and fair ecological environments in the three cities were mainly concentrated in city centers and coastal zones, and areas of ecological quality degradation were primarily concentrated in coastal zones. (3) Correlation analysis indicates that, whether at the landscape level or the class level, the ecological quality of the three cities is significantly negatively correlated with the fragmentation index and significantly positively correlated with the aggregation index. Moreover, the positive correlation between ecological quality and the forest landscape aggregation index, as well as the negative correlation with the forest landscape fragmentation index, are both significantly stronger than those at the landscape level. As urbanization progresses, forest landscape fragmentation intensifies, especially in city centers and coastal areas, having a significant negative impact on ecological quality. These results highlight the importance of landscape pattern management in maintaining ecological quality. This paper provides insights for coastal cities on balancing urban development with ecological preservation in the context of rapid urbanization.

The Impact of Teacher Attitudes and Beliefs on the Integration of Gamified Learning: A Study of Key Attitudinal Variables

The present study aims to explore the perspectives of educators in Saudi Arabia regarding the implementation of gamified learning approaches and their impact on the incorporation of gamified elements within educational environments, specifically emphasizing student engagement. A comprehensive dataset was obtained from a heterogeneous sample of educators hailing from the Kingdom of Saudi Arabia (KSA) by employing a rigorous quantitative research methodology. The study used a questionnaire survey to collect data from 100 teachers. The findings of this study unveiled an encouraging inclination among these teachers toward adopting gamified pedagogical techniques as an effective means of instruction. This study elucidated a robust association between positive teacher attitudes and the successful incorporation of gamified elements within instructional frameworks, leading to heightened levels of student involvement. While the experience of teachers certainly plays a role, it is important to acknowledge that the influence of positive attitudes towards gamification outweighs this factor. The results of this study highlighted the profound impact that gamified learning can have on promoting student engagement, underscoring its potential to bring about transformative changes in the educational landscape. Furthermore, these findings emphasized the critical role of cultivating positive teacher attitudes in ensuring the successful integration of gamified learning strategies.

Leveraging Uncertainty as a Means of Facilitating Sensemaking Within a Digital Wildfire Curriculum

AbstractThe changing landscape of geoscience learning has initiated growing interest in engaging science learners with climate data. One approach to teaching climate is the application of broadly accessible digital science curricula, which often include data tools such as visualizations, data representations, and simulations embedded within digital science curricula. We are specifically interested in how students and teachers grapple with scientific uncertainty in digital curricula. Our paper therefore examines how a 7th grade science class and their teacher leverage moments of uncertainty in their work within a digital geohazard curriculum to learn about wildfire risk and impact. We analyzed episodes of learners’ interactions, and those included scientific uncertainty related to key ideas about wildfires. We also attend to how the teacher orchestrates across class members’ ideas and the representations they were using. Our findings suggest that the digital curriculum elicited important sensemaking about wildfires and climate, including the interpretation of trends (Episode 1), working with simulations as a means of scientific investigation (Episode 2), and making meaning across disparate climate maps (Episode 3). Importantly, our analysis highlights the imperative work of the teacher in creating and leveraging productive sensemaking around the climate representations and simulations, yet outside of the predetermined curriculum. Our findings illustrate that maximizing students’ learning about climate in digital science curricula demands attention beyond teachers’ ad hoc adaptation, and rather, the intentional design of tools that support sensemaking about uncertainty as a dialogic process that is negotiated in response to students’ ideas.

Socio-economic transformation follows environmental change on Svalbard

The European Arctic, which includes the Svalbard archipelago, is situated in one of the areas showing most notable changes due to global warming and associated cascade events and processes. The main driving factor, temperature rise, is continuing to cause a large-scale overall decline in ice, from glacier retreating, less coastal land-fast ice to thinning and shrinking of open-sea pack ice. This, together with increased inflow of Atlantic waters, is causing profound changes in the local fauna, food web and biodiversity. In parallel, changes in landscape are also notable, mainly due to increasing coastal erosion and glacial melt. Over the past decades, both the traditional hunting-trapping lifestyle and mining have declined almost to the point of non-existence. At the same time, destination tourism and scientific research have become the major industries, both associated with an increase in the size of the main settlement of Longyearbyen, and thus also service jobs and local administration. Along with the shrinking of the glaciated Arctic landscape, the archipelago exemplifies the broadest level of nature protection in Europe. Strict environmental regulations that restrict and even prohibit human activities in large areas contribute to Svalbard being one of the best formally protected wilderness environments in the entire Arctic. Thus, as Svalbard marine ecosystems continue to change, they also are becoming more accessible to humans, and so also anthropogenic pressures are both changing and increasing in extent. We provide a compilation of both ecosystem components and human activities, together with indications of how these are, in parallel, changing. This forms the basis for future ecosystem and societal valuation assessments.