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Octopuses are amongst the most fascinating animals in our oceans; however, while their intricate behaviours are often studied in laboratory settings, basic aspects of their movement ecology remain unstudied in the wild. Focusing on the socio-economically important common octopus (Octopus vulgaris), this study employs, for the first time, acoustic tracking techniques to address knowledge gaps regarding the species spatial ecology within a marine protected area. A total of 24 wild O. vulgaris (13 males, 11 females) were tagged in 2022 in the National Park Maritime-Terrestrial of the Atlantic Islands of Galicia, Spain. Acoustic transmitters were externally attached to the third arm, after testing other body parts (mantle cavity). Males were on average detected on 10 times more occasions than females (49 days in males and five in females). The average activity space in the study area was large in comparison to that determined in similar studies, with 0.16 km2. Activity space between males and females as well as day and night were comparable. Tagged octopuses displayed a crepuscular activity pattern. The location of dens could be established for 15 out of 24 individuals, from which octopuses were observed to undertake regular daytime excursions. Several individuals were also found to occupy more than one den and/or switch their main dens throughout the study duration. First implications and benefits of this approach are discussed. [ABSTRACT FROM AUTHOR]

Indian coastal waters are critical for dugong populations in the western Indian Ocean. Systematic spatial planning of dugong habitats can help to achieve biodiversity conservation and area-based protection targets in the region. In this study, we employed environmental niche modelling to predict suitable dugong habitats and identify influencing factors along its entire distribution range in Indian waters. We examined data on fishing pressures collected through systematic interview surveys, citizen-science data, and field surveys to demarcate dugong habitats with varying risks. Seagrass presence was the primary factor in determining dugong habitat suitability across the study sites. Other variables such as depth, bathymetric slope, and Euclidean distance from the shore were significant factors, particularly in predicting seasonal suitability. Predicted suitable habitats showed a remarkable shift from pre-monsoon in Palk Bay to post-monsoon in the Gulf of Mannar, indicating the potential of seasonal dugong movement. The entire coastline along the Palk Bay-Gulf of Mannar region was observed to be at high to moderate risk, including the Gulf of Mannar Marine National Park, a high-risk area. The Andaman Islands exhibited high suitability during pre- and post-monsoon season, whereas the Nicobar Islands were highly suitable for monsoon season. Risk assessment of modelled suitable areas revealed that < 15% of high-risk areas across Andaman and Nicobar Islands and Palk Bay and Gulf of Mannar, Tamil Nadu, fall within the existing protected areas. A few offshore reef islands are identified under high-risk zones in the Gulf of Kutch, Gujarat. We highlight the utility of citizen science and secondary data in performing large-scale spatial ecological analysis. Overall, identifying synoptic scale 'Critical Dugong Habitats' has positive implications for the country's progress towards achieving the global 30 × 30 target through systematic conservation planning. [ABSTRACT FROM AUTHOR]

Understanding farmers' future residential preferences and the factors affecting these choices is crucial for tackling the issues related to hollow village management and rural planning. Despite limited research on the role of the family life cycle, this study explores how the family life cycle, characteristics of the household head, livelihood strategies, and resource availability shape farmers' future residential preferences. Data were collected from 777 households in China's main grain-producing area. The findings reveal that 52.90% of households prefer to stay in their current rural residences. Other favored options are elderly care facilities (13.90%), living with children in the village (12.36%), and ancestral homes (11.68%). The family life cycle significantly affects these preferences (p < 0.01), with changes in family structure and age leading to different living choices. Specifically, households in the initial (71.29%), burden (70.32%), and stable stages (40.14%) prefer their current rural residences, while those in the maintenance and empty-nest stages opt for living with their children's residences (22.22% and 16.96%, respectively) or in elderly care facilities (30.00% and 33.93%). Meanwhile, age, health, income, livelihood strategies, and land ownership also markedly influence the choice of residence. Recommendations include educational programs for elderly rural residents, improving older individuals' adaptability to rural changes, creating more rural employment opportunities, and enhancing medical and infrastructural services for the sustainable rural development. [ABSTRACT FROM AUTHOR]

AbstractProblem, research strategy, and findingsTakeaway for practiceBy examining the Residential Infill Project (RIP) in Portland (OR), this study addressed the ongoing debate on single-family zoning reform, focusing on the effectiveness of legalizing middle housing in expanding housing options in single-family neighborhoods. The analysis revealed a substantial increase in the proportion of middle housing in residential developments in single-family zones, from 13.4% before the RIP implementation to 44.7% in the 2 years after RIP’s adoption. Almost 40% of these post-RIP middle housing permit units were replacements for existing homes. Compared with single-family housing developments, middle housing projects were more likely to be in neighborhoods with greater density, better walkability, and lower income. The RIP broadened middle housing accessibility by allowing their development on non-corner lots, at greater distances to the city center, and in medium-density single-family zones. The RIP’s approach to regulating development density and building size significantly reduced the average size of middle housing units in single-family zones to less than half that of single-family homes. Given the strong correlation between home sizes and prices, it seems reasonable to infer that middle housing units have become considerably more affordable since the enactment of the RIP.Eliminating single-family zoning represents an initial step in expanding housing options in single-family neighborhoods. More comprehensive zoning reforms are essential for meaningful improvements in housing affordability and diversity. Cities must reassess and amend zoning codes, particularly development standards, to foster innovation in middle housing development and encourage developers to build smaller homes to lower housing costs. [ABSTRACT FROM AUTHOR]

Texturally and chemically sector-zoned garnet crystals in two contiguous metapelitic rocks from the Danba dome, eastern Tibetan Plateau (SW China) were investigated. A petrographic boundary in one of the rocks (sample 21DB103) separates a thin section into two zones. Whereas one zone containing sector-zoned garnet and fined-grained matrix is enriched in graphite and quartz, the other zone encompasses garnets with relatively regular habit in a coarse-grained matrix poor in graphite and quartz. The two zones are distinct with regards to the chemical compositions of biotite and plagioclase, as well as the major and trace element zoning patterns of garnet. Electron back-scattered diffraction analysis shows that all the investigated garnet crystals in this sample are single crystals. Relatively higher P-T conditions are estimated for the initial growth of sector-zoned garnet (~ 5.0 kbar / ~540 ℃) compared to the regular garnet (~ 3.8 kbar / ~510 ℃) in this rock, possibly indicating that growth of the sector-zoned garnet postdates growth of the regular garnet. Texturally and chemically radial sectors with garnet-quartz intergrowths and irregular sectors of garnet are preserved in the other graphite-rich rock (sample 21DB104). Isopleth thermobarometry applied to the core of the largest garnet crystal exhibiting sector zoning in this sample reveals P-T conditions of initial garnet crystallization (~ 4.4 kbar / ~512 ℃) that deviate far (~ 0.8 kbar/~45 ℃) from equilibrium, potentially indicating significant overstepping required for garnet nucleation. Plagioclase inclusions in garnet display varying trace element abundances, indicating their replacements of different preexisting phases. These results suggest that abundant graphite may play a pivotal role in changing fluid conditions and reducing the solubility of SiO2 to grow sector-zoned garnet, as well as impeding matrix coarsening. Development of sector-zoned core and dodecahedral faces of garnet may be related to rapid growth with changes in crystal morphology. Irregular sectors may have developed through fluid infiltration and local chemical adjustments. [ABSTRACT FROM AUTHOR]

The classification of land use and land cover (LULC) from remotely sensed imagery in semi-arid Mediterranean areas is a challenging task due to the fragmentation of the landscape and the diversity of spatial patterns. Recently, the use of deep learning (DL) for image analysis has increased compared to commonly used machine learning (ML) methods. This paper compares the performance of four algorithms, Random Forest (RF), Support Vector Machine (SVM), Multilayer Perceptron (MLP) and Convolutional Network (CNN), using multi-source data, applying an exhaustive optimisation process of the hyperparameters. The usual approach in the optimisation process of a LULC classification model is to keep the best model in terms of accuracy without analysing the rest of the results. In this study, we have analysed such results, discovering noteworthy patterns in a space defined by the mean and standard deviation of the validation accuracy estimated in a 10-fold cross validation (CV). The point distributions in such a space do not appear to be completely random, but show clusters of points that facilitate the discovery of hyperparameter values that tend to increase the mean accuracy and decrease its standard deviation. RF is not the most accurate model, but it is the less sensitive to changes in hyperparameters. Neural Networks, tend to increase commission and omission errors of the less represented classes because their optimisation lead the model to learn better the most frequent classes. On the other hand, RF and MLP prediction layers are the most accurate from a general qualitative point of view. [ABSTRACT FROM AUTHOR]

Low-temperature and rainy weather during the rape flowering period is one of the meteorological disasters affecting the rape-yield in the Sichuan Basin region. In this study, the daily meteorological data from 101 weather stations in the Sichuan Basin from 1961 to 2020, as well as the rape yield data and the disaster information (drought, low-temperature cold damage, consecutive rainy weather, gale and hail) from 1983 to 2000, are utilized. The years with low-temperature and rainy weather disasters during the rape flowering period are selected, and then the yield loss rate and disaster-inducing factors of low-temperature rainy weather during the rape flowering period are obtained by utilizing mathematical-statistical methods. Furthermore, the disaster-inducing indicators of low-temperature and rainy weather disasters during the rape flowering period are determined through correlation analysis, and are validated by using the disaster information data from 2001 to 2020. Based on the selected key disaster-inducing factors of low-temperature and continuous rainy weather, an assessment model on the losses caused by low-temperature and rainy disasters during the rape flowering period by using the regression analysis method was built. Then, the back substitution and prediction test are conducted to analyze the disaster risk zoning and variation trends. The results indicate that the daily average temperature ≤7°C and the duration of disaster events ≥1d are the disaster-inducing indicators of low-temperature during the rape flowering period in the Sichuan Basin. The ≤7°C negative accumulated temperature and the accumulated precipitation of the persistent rainfall event with ≥3d duration are the key disaster-inducing factors of low-temperature and rainy weather disasters. The indicators are examined with the low-temperature cold damage data during the rape flowering period from 2001 to 2020, and the results align with the actual situation. Based on the meteorological data, rape yield and disaster information from 1983 to 2000, an assessment model on the losses caused by low-temperature and rainy weather during the rape flowering period in the Sichuan Basin is established. The back substitution results indicate that for the light and moderate assessed levels, the assessment accuracy (the difference between assessed level and actual level is one or zero) is over 96%. For the severe and extremely severe assessed levels, the assessment accuracies with zero level difference are both 0, and the assessment accuracies with one level difference are 75% and 0, respectively. Then, by using the assessment model the low-temperature and rainy weather disasters during the rape flowering period in each year of 2001–2020 are predicted, and the results are consistent with the actual situation. From 1961 to 2020, in the southwestern, southern and northeastern parts of the basin, the risk levels of low-temperature and rainy weather disasters are mainly medium or high. The regions with lower risk level (low or sub-low) are mainly concentrated in the northwestern and central parts of the Sichuan Basin. Under the background of climate warming, the high-risk areas for low-temperature and rainy weather disasters during the rape flowering period in the Sichuan Basin show a decreasing trend, while low-risk areas show an increasing trend. In summary, the indicators for low-temperature cold damage during the rape flowering period in the Sichuan Basin are reliable. The loss assessment model of low-temperature and rainy weather disasters can effectively evaluate disaster losses and can be applied in agricultural meteorological service operations. The results of disaster risk zoning can provide a reference for the rape production layout in Sichuan Province. [ABSTRACT FROM AUTHOR]

Mining and other economic activities are carried out on a particular territory and, thus, affect the natural and human environment in which they operate. As a consequence and in order to avoid future and eventual socioenvironmental conflicts, it is essential to guarantee that these human activities are conducted in a manner that respects both environment and society. One of the most powerful tools to achieve this balance between human activities and sustainable development is Land-Use Planning (LUP), understood as the institution charged with organizing human activities to achieve that balance. Bearing this in mind, the present article has three objectives: a) complement the literature on LUP by explaining the interconnection between LUP and the mining concessions regime, b) identify and analyze the main problems with the procedures for granting mining concessions in Peru, and c) propose the foundations for a future integrated system of mining concessions and LUP based on common principles and participatory mechanisms to reconcile tensions between the interests and values of all stakeholders, in addition to providing alternative solutions to the current problems with the mining concessions regime. To analyze the mining concessions regime and LUP a qualitative methodology is adopted, combining documentary analysis, review of official reports, and semi-structured interviews with key actors. Taking into consideration the stated objectives, this research concludes that: a) to achieve sustainable development and prevent the future emergence of conflicts, mining concessions must be granted based on territorial planning that the State (at the national, regional and local levels) should undertake prior to and in conjunction with civil society; b) the mining concession procedure lacks mechanisms of good governance, environmental sustainability and social justice; and c) as an alternative solution to these issues, this research suggests the creation of an integrated system of LUP and mining concessions, one that is binding, efficient, gradual, investor-friendly and intercultural. [ABSTRACT FROM AUTHOR]

The utilization of optical and synthetic aperture radar (SAR) multi-source data to obtain better land classification results has received increasing research attention. However, there is a large property and distributional difference between optical and SAR data, resulting in an enormous challenge to fuse the inherent correlation information to better characterize land features. Additionally, scale differences in various features in remote sensing images also influence the classification results. To this end, an optical and SAR Siamese semantic segmentation network, OPT-SAR-MS2Net, is proposed. This network can intelligently learn effective multi-source features and realize end-to-end interpretation of multi-source data. Firstly, the Siamese network is used to extract features from optical and SAR images in different channels. In order to fuse the complementary information, the multi-source feature fusion module fuses the cross-modal heterogeneous remote sensing information from both high and low levels. To adapt to the multi-scale features of the land object, the multi-scale feature-sensing module generates multiple information perception fields. This enhances the network's capability to learn contextual information. The experimental results obtained using WHU-OPT-SAR demonstrate that our method outperforms the state of the art, with an mIoU of 45.2% and an OA of 84.3%. These values are 2.3% and 2.6% better than those achieved by the most recent method, MCANet, respectively. [ABSTRACT FROM AUTHOR]

In this paper, the dynamic response of two 21-story buildings was studied to assess the influence of higher modes in their structural performance. While the first building was structured with ductile moment-resisting steel frames and exhibits a global shear-dominated lateral deformation, the second one uses ductile concentrically braced steel frames and has a global bending-type response. Buildings were virtually located in a soft-soil condition of the lake-bed zone in Mexico City. Nonlinear pushover and dynamic analyses were performed through OpenSees on a detailed 3D-model with plasticity spread along the elements. For this purpose, a set of accelerograms recorded during the Mexico Earthquake of September 19, 2017, were selected, and adjusted to represent the actual seismic hazard at the site. A frequency-domain system identification technique was applied to identify the dynamic characteristics of buildings through a moving-window Fourier analysis, that allows for the estimation of the contribution of higher-modes to their overall nonlinear dynamic response. A ratio of the elastic spectral pseudo-accelerations corresponding to the first two vibration modes is proposed to quantitatively anticipate cases and conditions for which the second mode adversely affects the structural performance of upper stories. The discussion includes a comparative study from the lateral global response of the analyzed models. [ABSTRACT FROM AUTHOR]

• Landsat archive presents unique opportunities for multitemporal analysis. • Specific month selection in time series effects classification accuracy. • Benefit of increased month observations varied among climatic regions and classes. • Grass/shrub and cultivated classes saw highest improvements. • Implementation scenario showed F1 improvements as high as 10% The Landsat archive having consistent revisit times, near global extent and extensive multi-decadal temporal coverage offers a unique opportunity for land cover land use product generation. Along with this vast volume of freely available data, new classification methods based on deep learning have improved modeling capabilities. This manuscript investigates the effect of intra-annual Landsat scene availability in the accuracy of land cover land use classification in the conterminous United States. More specifically, we seek to quantify the effect of: i) increased monthly scene availability, and ii) specific months that may result in higher classification accuracy across different classes. Identifying specific months with comparable classification accuracy to the entire time series could offer significant computational gains for large-scale mapping. Our experiment incorporated deep learning classifiers and a wide range of reference data across the continental United States. Results were contrasted between five large U.S. climatic regions to further differentiate this intra-annual effect. Our findings indicate that the total number of months can have a highly variable effect in the classification accuracy ranging from minor (a few percentage points in terms of class F1 accuracy) to extremely beneficial (approaching 50% F1 improvement moving from four to twelve month observations). The benefit of increased month observations varied among climatic regions and classes: when all climate regions were combined, the grass/shrub and cultivated classes improved their F1 accuracy up to 30%, while the water class saw the least improvement of about 5%, partially due to its limited room for improvement. The effect of specific month combinations was also examined, where the total number of months was kept constant and the included months varied. The difference between the best month combination and the median combination value was estimated to be as high as about 30% for the four monthly observations scenario and the grass/shrub class. Further validation of the month selection importance comes from an example implementation scenario where F1 improvements can be as high as 10%. Our work demonstrated that month selection may offer such benefits that in some classes and climatic regions this time selection optimization is an inevitable choice due to large accuracy improvements. Also, the potential data reduction with targeted month selection would be particularly appealing to large-scale classification tasks. Due to the large extent of the climatic regions further studies are needed to quantify a more localized effect along with explanation of potential drivers. [ABSTRACT FROM AUTHOR]

Satellite time series data, widely used for land cover classification, often contain missing values due to cloud contamination, which can negatively affect classification. Numerous strategies have been developed to reconstruct the missing values to produce regular time series for machine learning classifiers, among which the compositing followed by the linear interpolation is most widely used. However, the classification improvement of linear interpolation for land cover classification has not been examined. Recently developed deep learning models such as long short term memory (LSTM) and Transformer allow such examination as they can classify time series with missing values. In this study, we compared the time series composites with missing values (without linear interpolation) and the linearly interpolated time series composites (without missing values) for land cover classification. About 18 thousand Harmonized Landsat Sentinel-2 (HLS) images acquired over Amur River Basin of China (890,308 km2) in 2021 were composited to 14 16-day periods. Two time series composites were classified, i.e., (i) the 16-day composites without interpolation that have on average 15.35% 16-day periods with missing values and (ii) the linearly interpolated 16-day composites with no missing values. The classifications showed that (1) between classifications with and without linear interpolation there was < 0.2% overall accuracy differences for the bidirectional LSTM (Bi-LSTM) and < 0.5% for the Transformer both of which were smaller than model training randomness; and (2) the computation time can be saved using composites without linear interpolation. The findings suggested that it is unnecessary to use the time-consuming linear interpolation in Bi-LSTM and Transformer-based land cover classifications. The findings were confirmed by experiments for sensitivity to the number of cloud-free composites and to different classification legends using crop type classifications. It implied the linear interpolation algorithm cannot reconstruct reliable time series for land cover classifications and historical use of such method is more about mitigating the inability of traditional classifiers to handle missing values rather than improving classifications. Linear interpolation is not necessary for LSTM and Transformer with capability to handle missing values. The training datasets and developed codes in this study are made publicly available. [ABSTRACT FROM AUTHOR]

Customers' hotel location evaluations are critical to hotel location decisions, future investment, visitor experience and urban tourism development. In this paper, spatial autocorrelation analysis, GeoDetection and geographically weighted models are used to explore the characteristics of the location satisfaction pattern of 1126 hotels in Wuhan and its causes.The findings suggest that there are obvious spatial clustering distribution characteristics of hotel location satisfaction in Wuhan. Distance from highway entrances/exit, scenic spot accessibility, and free parking services have the strongest positive influence on the spatial differentiation pattern of hotel location satisfaction, while hotel transportation services, the percentage of water area, and the number of universities have significant spatial differentiation characteristics on the influence of hotel location satisfaction. This study contributes to a better understanding of hotel location satisfaction pattern and its causes through multi-source data and spatial analysis techniques. The results of the study are of practical significance to the planning and development of urban hotels in Wuhan, as well as to other cities similar to Wuhan in terms of city scale, spatial layout of hotels, and tourism development. [ABSTRACT FROM AUTHOR]

At the end of 2022, the FIFA Men's World Cup took place in Qatar, and Argentina won its third title. Among thr worldwide supporters, India, a nation that had never played at the event, caught my attention. This study focuses on the state of Kerala, a mainly rural zone in Southwest India, and its massive support for Brazil and Argentina. After a literature review on football in India, the globalization of football, and team rivalries, the study analyzes a few English-written news articles to understand such manifestation of fandom in Kerala, and focuses on the giant cut-outs to find the answer as to why Brazil and Argentina are the teams who received the biggest support. It concludes that the said support has social, political, mediatic, identitarian, and religious roots. The article ends with the question as to how these manifestations differ in different countries, states, championships, and religions. [ABSTRACT FROM AUTHOR]

• The impact of digital economy on green total factor productivity in China is investigated. • The evidence on digital economy from a policy perspective is further supplied. • The ordinary least squares model and fixed effects model are used to research simultaneously. • Technological innovation, industrial structure optimization and resource misallocation as the transmission channels are considered in mechanism test. Digital economy has become a major driver of the green transformation of the economy. The "National Big Data Comprehensive Pilot Zone" policy is taken as a quasi-natural experiment. The Difference-in-Differences model is employed to explore the impact of digital economy on green total factor productivity, and the heterogeneity of this impact is further explored. The mechanism test model is applied to investigate its indirect transmission mechanism. It is found that digital economy significantly enhances green total factor productivity. Further, the impact is larger and more significant in the mid-western, non-resource-based, and large cities, whereas it is smaller or insignificant in the eastern, resource-based, and small and medium-sized cities. Results of mechanism analysis show that digital economy enhances green total factor productivity through the transmission channels of technological innovation, industrial structure optimization, and resource misallocation. Policy recommendations are provided on the basis of these results to establish the environment and digital economy that are mutually beneficial. [ABSTRACT FROM AUTHOR]

This paper makes the case for the connection between making land-use regulatory changes and the process of destruction and redevelopment. Under the capitalist imperative, buildings that do not fulfil the full potential for profit are likely to be demolished (or refurbished) but demolition and new development are not shaped exclusively by the immutable laws of the market as they are mediated and facilitated by specific institutional contexts. Using the case of East Midtown rezoning in New York City, the paper examines the amendments of two land-use regulatory mechanisms: the enlargement of development rights (rezoning or upzoning) and the relaxation of the spatial limitations on the usage of existing unused rights (transferable development rights). While apparently unconnected, upzoning and transferable development rights are part of the regulatory framework that seeks to secure the ongoing generation of the highest-possible profits for private as well as public interests. By examining the choreography of rezoning and transferable development rights, the paper shows how the mechanics of creative destruction work while substantiating an existing body of knowledge on land use policies and practices in New York City. When used together, rezoning and transferable development rights are instrumental in remaking the built environment. Essentially, the rezoning of a 78-block area in East Midtown Manhattan unlocks captured and latent development rights that otherwise could not come about, and demonstrates the necessity of institutional arrangements to make creative destruction actually work. [ABSTRACT FROM AUTHOR]

Green development is an important component of China's new development concept. Pilot Free Trade Zones (PFTZs), as "experimental fields" for promoting reform, deepening opening-up, and raising the level of an open economy, are important open areas for China to promote green development. However, existing related research is not extensive. This article takes PFTZs as quasi-natural experiments, with the Yangtze River Economic Belt (YREB) as the research area. Based on urban panel data from 2006 to 2020, using multi-period differences-in-differences and spatial differences-in-differences models, it explores the impact effects of PFTZs on urban green development and their potential mechanisms. The research findings indicate: (1) Overall, PFTZs significantly promote urban green development, with variations in impact effects due to different batches and locations of establishment. (2) Mechanism tests show that PFTZs mainly promote urban green development by stimulating technological innovation, industrial upgrading, and reducing government intervention. (3) From the perspective of spatial spillover effects, the establishment of PFTZs not only promotes the green development process in the host cities but also has a promoting effect on the green development of surrounding cities. [ABSTRACT FROM AUTHOR]

Leisure agriculture and rural tourism, as a fusion of primary, secondary, and tertiary industries in rural areas, have played an important role in promoting agricultural quality and efficiency, driving employment and income growth for farmers, expanding consumer demand for residents, inheriting agricultural civilization, building beautiful villages, promoting urban-rural integration, and achieving common prosperity. However, the development of leisure agriculture and rural tourism industry has long faced difficulties in securing construction land, especially newly added construction land, which has severely restricted its development. Based on the analysis of the current situation and problems of leisure agriculture and rural tourism land in Ningbo City, the article introduces the model of spot-like land supply, with relevant development suggestions. Taking Xiangshan County as an example to carry out different spatial guidance zoning of the spot-like land supply type, providing special data support for the promotion and application of spot-like land supply in rural industries. [ABSTRACT FROM AUTHOR]

The sub‐seasonal CO2 flux (FCO2) variability across the Southern Ocean is poorly understood due to sparse observations at the required temporal and spatial scales. Twinned surface and profiling gliders experiments were used to investigate how storms influence FCO2 through the air‐sea gradient in partial pressure of CO2 (ΔpCO2) in the sub‐Antarctic zone. Winter‐spring storms caused ΔpCO2 to weaken (by 22–37 μatm) due to mixing/entrainment and weaker stratification. This weakening in ΔpCO2 was in phase with the increase in wind stress resulting in a reduction of the storm‐driven CO2 uptake by 6%–27%. During summer, stronger stratification explained the weaker sensitivity of ΔpCO2 to storms, instead temperature changes dominated the ΔpCO2 variability. These results highlight the importance of observing synoptic‐scale variability in ΔpCO2, the absence of which may propagate significant biases to the mean annual FCO2 estimates from large‐scale observing programmes and reconstructions. Plain Language Summary: The sub‐Antarctic zone of the Southern Ocean is a region that mostly experiences carbon dioxide (CO2) uptake because of its low temperature, strong winds and lower CO2 content. The wind can influence the CO2 uptake through two pathways: the speed of CO2 transfer between the air‐sea interface (kw) and the difference in CO2 concentration in the surface ocean and overlying atmosphere (ΔpCO2). Using autonomous robots that can measure hourly air and water conditions simultaneously, we show that not resolving ΔpCO2 during a storm event can lead to overestimating the CO2 uptake. This is particularly important during winter and spring when the ocean's surface layers are less stratified. The warmer temperatures during summer meant a more stratified surface layer resulting in a weaker and delayed impact of storms on the ΔpCO2. This study shows that the various annual CO2 uptake estimation methods used by the research community should not neglect ΔpCO2 responses during storms. Key Points: Hourly glider observations show that the impact of storms on both kw and ΔpCO2 simultaneously modulates the ocean CO2 uptake variabilityWinter‐spring storms weaken ΔpCO2 through enhanced entrainment and mixing, partially counteracting the increase in CO2 uptake due to kw aloneBy not accounting for the storm‐linked positive feedback in ΔpCO2, the cumulative seasonal CO2 uptake was found to be overestimated by ∼6% [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to compare knowledge and attitudes towards obstetric danger signs and care between females receiving maternal care and their male partners. Methods and Materials: A community-based comparative cross-sectional study was conducted in the rural setting of Jimma, Ethiopia. Female and their male partners were selected randomly. The number of participants included from each sex was 3235 totaling 6470. Face-to-face data collection was employed using open data kit (ODK) software. A pre-test was performed before the data collection. Descriptive and analytical statistical analysis was used to compare knowledge and attitudes regarding obstetric danger signs and care. Predictor variables were declared considering a 95% confidence interval, adjusted odds ratio (AOR) and P-value less than 0.05. Results: On average, male and female participants identified at least two obstetric danger signs. More females could mention more antenatal, childbirth, and postnatal danger signs than their male partners. Both females and their male partners who listened to the radio at least once per week had a statistically significant positive attitude towards obstetric care. Nonetheless, both had an almost similar magnitude of attitude towards obstetric care irrespective of belonging to different occupational, educational, and other social strata. Males' knowledge of danger signs during pregnancy (95% CI = (1.07– 1.62), AOR = 1.32, P < 0.008) and postnatal care (95% CI = (1.16– 1.89), AOR = 1.48, P < 0.002) had a statistically significant association with the females utilization antenatal care (ANC) service, though not delivery care (DC) or postnatal (PNC). Conclusion: There were inequalities in obstetric danger signs knowledge between females and their male partners. Male partners' knowledge of obstetric danger signs is not only significant during pregnancy and delivery but also has a lasting impact on post-natal service utilization, which underscores the importance of their involvement in maternal healthcare. [ABSTRACT FROM AUTHOR]

Because of the uneven distribution of territorial power and autonomy, cities in lower positions in China's urban hierarchical system are typically disadvantageous in obtaining vital and timely political and economic resources. Applying the theoretical discourse of spatial selectivity in state space production, this study focuses on the territorial dimension of spatial strategies and investigates how local spatial selectivity strategies have unfolded in Bengbu and Chuzhou, two third-tier cities in Anhui Province. The research finds that while lower-tier cities endeavor to use spatial selectivity and advocate new administrative and economic spaces by making connections to higher-tier cities, their spatial strategies overlook insufficient interconnections with their peers. Territorial status categorization, spatial relational adjustment, and administrative boundary realignment may have adverse effects when the mismatch between their targeted places and proposed functions occurs. Institutional reconfigurations through rescaled government and multi-level and cross-regional governance network are not common in lower-tier city's spatial strategies. [ABSTRACT FROM AUTHOR]

The expansion of Latin American intermediate cities has left irregular and discontinuous occupation patterns in their peripheral territories. In appearance, the configurations of the urban edges do not have relevant differences. In fact, each morphological structure is heterogeneous and has its own behaviors, different occupation motivations, and diverse resulting consolidated models. In Cuenca, Ecuador, these diffuse zones between the urban and rural limits are marked by segregation dynamics and dependence on the consolidated center and have the lowest quality-of-life indexes in the city. In this context, the objective of the research was to find a possible relationship between the types of peripheral morphologies and the levels of urban habitability of four city urban centers, using a quantitative methodological design with a two-stage correlational scope. Initially, urban morphologies were classified, and the habitability levels were rated separately, applying independent instruments. Then, the results were cross-checked to describe possible links between variables. The findings highlight significant disparities in habitability between conurbations and define an apparent direct correlation between the two dimensions of analysis. [ABSTRACT FROM AUTHOR]

The 17.44 Ma Walgidee Hills lamproite in the West Kimberley province of Western Australia is the type locality for several K-, Ba- and Ti-rich minerals characteristic of lamproites and, at 490 ha, the largest known lamproite. The Walgidee Hills pipe comprises a thin sequence of tuffs and breccia formed by explosive eruptions that excavated a large shallow crater that was infilled by lamproite magma which cooled and crystallised in situ. The lamproite is zoned in grain size, mineralogy, and mineral and rock composition from porphyritic olivine lamproite at the margin through medium-grained lamproite comprised of olivine (altered), titanian phlogopite, diopside, leucite (altered) and titanian potassic richterite to coarse gained lamproite rich in potassic richterite, priderite, jeppeite, perovskite, apatite, wadeite and noonkanbahite at the centre of the body. Compositional zoning is evident across the lamproite in phlogopite (to lower Mg and Al, higher Fe), potassic richterite (to higher Fe and Na, lower Ti), priderite (to lower Cr) and perovskite (to lower Cr and Fe, higher Na, Sr, Y, Nb, U, REE). The Walgidee Hills lamproite is ultrapotassic and ranges from olivine lamproite (up to ~21 wt % MgO, ~800 μg/g Ni, ~4 wt % K2O) to sanidine/leucite-rich lamproite (~7 wt % MgO, ≤100 μg/g Ni, ~8 wt % K2O) at the centre of the pipe. The lamproite has low Al2O3, total Fe, Na2O and CaO (except for intensely carbonate-veined rocks at the centre) and is highly enriched in TiO2 (3–6.5 wt %), Ba, Rb, Sr, Zr and LREE (LaN = 150–520 x primitive mantle). A transect and geochemical contours show MgO, Ni and Cr contents decrease and P, K, Ti, Fe, Rb, Sr, Y, Zr, Nb, REE, Hf, Pb, Th and U abundances increase inwards to the most evolved rocks at the centre of the pipe, consistent with fractionation by inwards in situ crystallisation. The parent magma is estimated from the composition of the porphyritic olivine lamproite at the margins of the pipe to have ~16 ± 1 wt % MgO, ~600 μg/g Ni, ~6 wt % K2O with La/Yb ~ 150. Modelling suggests that the most MgO-rich lamproites result from entrainment of ~15–20 wt % mantle olivine in the parent magma. Cooling of the magma resulted in fractional crystallisation of olivine and in situ crystallisation with the evolved coarse-grained lamproites at the centre of the pipe crystallised from residual magma enriched in the more incompatible elements. Mantle xenocrysts include abundant Cr–Al spinel, chrome diopside, chrome pyrope, and rare diamond. Thermobarometry on the Cr diopside xenocrysts defines a cold paleogeotherm of ~38 mW/m2 and a thick lithosphere (~235 km) extending from the Kimberley craton. Many of the Cr diopsides from the deeper lithospheric mantle are enriched in K, Ba and LREE and these, and the Ti-rich spinel xenocrysts, are inferred to be derived from metasomatised mantle peridotite. The enriched trace element and Sr–Nd–Pb isotopic signatures of the Walgidee Hills lamproite suggest derivation from or extensive incorporation of ancient formerly depleted lithospheric mantle that has undergone metasomatism and long term (≥2 Ga) geochemical enrichment including by melts from Paleoproterozoic subducted crust. [ABSTRACT FROM AUTHOR]

In 2023, 14 Member States were affected by African swine fever (ASF), including Croatia and Sweden where ASF emerged (wild boar outbreaks only) and Greece where ASF re‐emerged after being free since 2021. The number of ASF outbreaks among domestic pigs in the EU was five times higher than in 2022, reaching a similar magnitude to that in 2019. This was predominantly driven by the introduction and subsequent spread of ASF in Croatia and its resurgence in Romania, representing 96% of the EU outbreaks. ASF outbreaks in domestic pigs were clearly seasonal in all countries, with 88% of outbreaks reported between July and October. Most of the ASF outbreaks among domestic pigs were detected through clinical suspicion (94%), followed by tracing from affected establishments (3%), and the weekly testing of at least two dead pigs in establishments (3%). In wild boar, a 10% increase in the number of notified outbreaks was observed in the EU in comparison with 2022, with considerable variations between countries. A winter peak was observed only in Poland, Slovakia and Hungary. The epidemiological situation in wild boar improved in Germany and Hungary, as suggested by the decrease in the number of outbreaks and in the proportions of PCR‐positive samples from dead wild boar. Overall, 31% of wild boar carcasses found during passive surveillance tested positive by PCR, representing 69% of the ASF outbreaks in wild boar in the EU. In contrast, 0.4% of hunted wild boar tested positive, representing 31% of the outbreaks. Despite the introduction of ASF into new countries and the increase in the number of outbreaks, the size of restricted zones in the EU remained stable, due to the highly clustered outbreaks in Croatia, and the reduction of restricted zones in Poland, Slovakia and Bulgaria (in domestic pigs), and Hungary (in wild boar). [ABSTRACT FROM AUTHOR]

We examined dam-induced land use and land cover change (LULCC) detection in the Amerti-Nashe hydroelectric power reservoirs. These dams were constructed for a variety of purposes, primarily for irrigation in the lower reaches and hydropower generation in the upper reaches. The main objective of the study was to investigate dam-induced LULCC in the study area over the last 41 years. Satellite images were downloaded from the United States Geological Survey (USGS). The data from remote sensing satellite images were used to reflect the spatial variation in LULCC, and land surface temperature (LST) in the study areas near hydropower plants in the years 1985, 2003, and 2021. The supervised classification method is adopted, and the maximum likelihood rule is used as the parameter rule for image classification. The land use classification results show that grazing land, woody grassland, and cultivated land gradually decreased, which could be associated with the establishment of dams. But commercial farming, waterbodies, and built-up areas increased during these study periods. LST variations based on its relationship with Land Use Land Cover (LULC) in the area decreased after the dam was constructed, particularly in the irrigated lowland and places inundated by water from the reservoir in the upper stream. Generally, the construction of the Amerti-Nashe hydroelectric dam projects in the study area has changed land use type and LST both at a lower and upper stream. Therefore, hydropower development in the area needs strategic planning on how to minimize land use land cover change impacts on the environment and the local community. [ABSTRACT FROM AUTHOR]

Knowledge of functional dispersal barriers in the marine environment can be used to inform a wide variety of management actions, such as marine spatial planning, restoration efforts, fisheries regulations, and invasive species management. Locations and causes of dispersal barriers can be studied through various methods, including movement tracking, biophysical modeling, demographic models, and genetics. Combining methods illustrating potential dispersal, such as biophysical modeling, with realized dispersal through, e.g., genetic connectivity estimates, provides particularly useful information for teasing apart potential causes of observed barriers. In this study, we focus on blue mussels (Mytilus edulis) in the Skagerrak—a marginal sea connected to the North Sea in Northern Europe—and combine biophysical models of larval dispersal with genomic data to infer locations and causes of dispersal barriers in the area. Results from both methods agree; patterns of ocean currents are a major structuring factor in the area. We find a complex pattern of source‐sink dynamics with several dispersal barriers and show that some areas can be isolated despite an overall high dispersal capability. Finally, we translate our finding into management advice that can be used to sustainably manage this ecologically and economically important species in the future. [ABSTRACT FROM AUTHOR]

This document, titled "What Is at Stake? The Ontological Dimension of Environmental Conflicts," examines the concept of environmental conflicts from an ontological perspective. It argues that understanding conflicts over natural resources requires considering the different ways in which nature and human-nature relations are conceptualized by different parties involved. The document emphasizes the importance of recognizing multiple realities and ontologies in addressing environmental conflicts. It presents empirical findings from case studies and identifies three research themes related to ontological difference in environmental conflicts. The document concludes by discussing the methodological and conceptual implications of these findings for future research on the ontological dimensions of environmental conflict. [Extracted from the article]

The Yanchang group Chang 6 reservoir in the Tiebiancheng area, after decades of exploitation, exhibits localized zones of relatively high permeability but is predominantly characterized as an extra-low permeability oil reservoir with minimal natural productivity. The reservoir's strong heterogeneity poses challenges in achieving production targets, resulting in significant variations in well yields. Therefore, a scientific division of potential zones within the blocks, targeted exploitation strategies are necessary. This study classifies the recoverable reserves abundance of the Chang 6 reservoir in the Tiebiancheng area into four distinct types, based on the analysis of two oilfield indicators: material potential field and flow state field. These types are categorized as follows: high velocity and high abundance (Type I), low velocity and high abundance (Type II), high velocity and low abundance (Type III), and low velocity and low abundance (Type IV). Moreover, tailored exploitation strategies are proposed, considering the characteristics of different favorable target zones. A computational simulation of regional oil production, with zoning exploitation strategies taken into account, indicates an anticipated cumulative oil production of 1463·104 m3 by 2027, whereas the cumulative oil production of the control group is projected to reach 1387·104 m3, resulting in a notable difference of 76·104 m3, signifying a considerable improvement in the recovery rate. [ABSTRACT FROM AUTHOR]

The construction of well-facilitated farmland plays a vital role in ensuring national food security. Therefore, our study sought to facilitate the evaluation of farmland constructions and site selection. To achieve this, we conducted a case study in the Fengxiang District of Baoji City and developed a suitability evaluation model based on the ecological niche theory. This model considered four key factors: soil conditions, infrastructure construction, landscape patterns, and ecological constraints. Through a comparison of realistic and ideal ecological niches for various factors, we established a diagnostic model that identifies obstacle factors along with their respective obstacle degrees and ecological niches. By combining suitability, obstacle level, and transformation difficulty, we categorized different well-facilitated farmland construction priority zones, ranging from the most suitable and easiest to implement to the least suitable and more challenging. A total of 20,669 farmland patches were quantitatively evaluated and our findings indicated that the overall suitability of farmland construction in Fengxiang District is good. Cultivated land in the priority construction areas accounts for 47.49%, demonstrating high suitability for construction and the potential to reach optimal regional levels with minor adjustments. Our analysis revealed that the main obstacle factors in the landscape pattern dimension were mainly at the field scale, whereas the key obstacle factors in the ecological constraints dimension were related to irrigation water sources and slope gradients. Importantly, the evaluation results were generally consistent with the real situation, thus validating the scientific robustness and realistic nature of the ecological niche model for assessing construction suitability. Overall, our proposed approach can be used to effectively evaluate the suitability of regional well-facilitated farmland construction. These findings can serve as a solid basis for making scientifically informed decisions when selecting sites for well-facilitated farmland construction, contributing to its successful, efficient, and cost-effective implementation. [ABSTRACT FROM AUTHOR]

Context: The productivity of crops is influenced by the available net water balance, which relies on a complex interplay of edaphic and climatic factors. In this sense, rainfall is the leading water input for crop growth and yield, especially in water-scarce regions under semi-arid climates worldwide. Aims: This study aimed to define the optimum cropping calendar and the agroclimatic and agroecological zones for rainfed maize in the state of Ceará, which is predominantly located within the Brazilian semi-arid region, assuming different rainfall scenarios. Methods: We considered the subdivision of the study area into eight homogeneous precipitation regions according to the regional rainfall pattern. The climatic water balance for each region over two decades was calculated from historical weather data series, assuming three rainy scenarios: dry, regular, and rainy. The agroclimatic zoning was defined through the crop water balance results, soil classification, land use and occupation, slope and temperature, weighted through a multi-criteria decision analysis based on the Analytic Hierarchy Process. Key results: The recommended planting period was broader in rainy conditions. However, there may be some dry spells between two 10-day intervals of the calendar, which impair plant growth depending on their intensity. For the dry scenario, the agroclimatic zoning showed that the marginal water deficiency covered 96.55% of the study area. Conclusions: Rainfed maize cultivated under the semi-arid climate of Ceará state is viable in rainy conditions, partially restricted in regular years, and not recommended in dry years. Implications: This study emphasises the importance of climate monitoring in effective planning for rainfed maize cultivation in semi-arid regions. This study aimed to define the optimum cropping calendar and the agroclimatic and agroecological zones for rainfed maize (Zea mays L.) across Ceará state, situated within the Brazilian semi-arid region, assuming different rainfall scenarios: dry, regular, and rainy. The agroclimatic zoning was defined trough the crop water balance results. Our findings demonstrated that rainfed maize cultivated under the semi-arid climate of Ceará state is viable in rainy conditions, partially restricted in regular years, and not recommended in dry years. [ABSTRACT FROM AUTHOR]

Subduction initiation is a cornerstone of the Wilson cycle. It marks the turning point in an ocean's lifetime, allowing its lithosphere to be recycled into the mantle. However, formation of new subduction zones in Atlantic-type oceans is challenging, given that it commonly involves the action of an external force, such as the slab pull from a nearby subduction zone, a far-field compression, or the impact of a plume. Notwithstanding, the Atlantic already has two subduction zones, the Lesser Antilles and the Scotia arcs. These subduction zones have been forced from the nearby Pacific subduction zones. The Gibraltar arc is another place where a subduction zone is invading the Atlantic. This corresponds to a direct migration of a subduction zone that developed in the closing Mediterranean Basin. Nevertheless, few authors consider the Gibraltar subduction to be still active because it has significantly slowed down in the past millions of years. Here, we use new gravity-driven geodynamic models that reproduce the evolution of the Western Mediterranean, show how the Gibraltar arc formed, and test if it is still active. The results suggest that the arc will propagate further into the Atlantic after a period of quiescence. The models also show how a subduction zone starting in a closing ocean (Ligurian Ocean) can migrate into a new opening ocean (Atlantic) through a narrow oceanic corridor. Subduction invasion is likely a common mechanism of subduction initiation in Atlantic-type oceans and a fundamental process in the recent geological evolution of Earth. [ABSTRACT FROM AUTHOR]

This article provides an update on the cetacean species list in Raja Ampat, Indonesia, with new sightings of Omura's whale and melon-headed whales. The study was conducted through boat-based surveys and opportunistic observations using drones and ferries. The researchers encountered five species, including Omura's whales and melon-headed whales. These findings contribute to filling information gaps and updating the cetacean species list in Raja Ampat. The document also provides a list of references related to marine biodiversity, marine mammals, and conservation efforts in Indonesia, which can be valuable resources for library patrons conducting research on these subjects. [Extracted from the article]

The southern portion of the eastern North American margin (SENAM) is an archetypical volcanic passive margin formed during Mesozoic rifting. How past magmatic events affect the evolution of the SENAM remains an open question of fundamental importance. To better understand this question, here we construct a high‐resolution 3‐D crustal velocity model from the oceanic side to the continental interior with a combination of multimodal dispersion inversion and full‐waveform ambient noise tomography. Our new model reveals an oceanic‐continental transitional crust over a short horizonal distance of 100–150 km across the SENAM, with a local‐scale lower‐than‐surrounding velocity anomaly directly beneath the transitional crust. Furthermore, the new model shows three intra‐crustal higher‐than‐average velocity anomalies beneath the SENAM continent. We suggest that the magmatism assisted the Mesozoic rifting process to form the narrow ocean‐continent transitional crust along the coastline. The underplating of magma beneath the transitional crust led to a reduction of seismic velocity of the uppermost mantle. In addition, it is probable that the emplacement of the Central Atlantic Magmatic Province caused widespread magmatic intrusions within the continental crust of the SENAM, which were later solidified into intra‐crustal high‐velocity plutons. Our findings provide new insights into crustal modification history at the passive margin. Plain Language Summary: It has been suggested that the emplacement of magma played a key role in the formation and evolution of passive margins. However, how this process evolves during geological time is still unclear. The southern portion of the eastern North American margin (SENAM) preserved many magmatic records, making it an ideal laboratory to study this question. In this study, we constructed a high‐resolution 3‐D crustal velocity model from the oceanic side to the continental interior of the SENAM using a combination of state‐of‐the‐art multimodal dispersion inversion and full‐waveform ambient noise tomography. Our new model reveals two important features within the crust and upper mantle of the SENAM: (a) a sharp increase in crustal thickness over a transitional zone from ocean to continent, and a lower‐than‐surrounding velocity anomaly beneath the eastern margin of the transitional crust; and (b) three higher‐than‐average velocity anomalies within the continental crust. We suggest that the magmatic events assisted a continental rifting at ∼200 Ma in forming the ocean‐continent transitional crust. In addition, the magma associated with the emplacement of Central Atlantic Magmatic Province might have been injected into the continental crust of the SENAM, which subsequently solidified into high‐velocity igneous rocks. Key Points: A high‐resolution 3‐D crustal velocity model is constructed in the southern portion of the eastern North American marginA transitional crust is observed from ocean to continent that was likely formed by a magmatic‐assisted continental riftingThree high velocity anomalies are observed within the continental crust, probably representing magmatic intrusion associated with Central Atlantic Magmatic Province [ABSTRACT FROM AUTHOR]

As legal marijuana is emerging as an important component of cities across the United States, it is important to understand the factors that contribute to legal marijuana facility siting. Although land use and zoning are expected to determine where commercial marijuana facilities are located, if residential characteristics also enter siting considerations, some neighbourhoods may either bear the burden of undesired facilities or reap the benefits of legal marijuana, underscoring equitable considerations in marijuana facility siting. Thus, this study examines how neighbourhood change associated with locally unwanted land uses and gentrification influences the amount of retail marijuana facilities across three US cities: Denver, Colorado; Portland, Oregon; and Seattle, Washington. Using a series of Poisson-related regressions, this study finds that neighbourhood residential characteristics influence retail marijuana facilities in ways exceeding siting restrictions alone, like zoning. Notably, quantitative results suggest that there are fewer retail marijuana facilities in neighbourhoods experiencing locally unwanted land use-related change than non-locally unwanted land use neighbourhoods in Denver and Seattle; and more retail marijuana facilities in gentrified compared to non-gentrified neighbourhoods in Denver. Overall, these findings advance understanding of the connection between legal marijuana and neighbourhood changes and aim to influence guidelines for integrating legal marijuana facilities into communities. [ABSTRACT FROM AUTHOR]

Preservationist planning broadly describes planning instruments that purport to preserve physical qualities of neighbourhoods by preventing demolition of historic dwellings. Here, we analyse land use conversion of almost 6000 lots in Brisbane, Australia, to understand if, and how, preservationist planning impacts the built environment. Results demonstrate that preservationist planning suppresses multi-family housing construction, even where increased density is encouraged by the planning scheme. We suggest that preservationist planning is exclusionary in nature and not solely focused on built heritage, particularly as substantial modifications to existing dwellings are allowed. These findings run counter to the purported aim of built heritage protection and suggest that the preservationist planning framework should be revised. [ABSTRACT FROM AUTHOR]

The Southern Ocean regulates atmospheric CO2 and Earth's climate as a critical region for air‐sea gas exchange, delicately poised between being a CO2 source and sink. Here, we estimate how long a water mass has remained isolated from the atmosphere and utilize 14C/12C ratios (Δ14C) to trace the pathway and escape route of carbon sequestered in the deep ocean through the mixed layer to the atmosphere. The position of our core at the northern margin of the Southern Indian Ocean, tracks latitudinal shifts of the Southern Ocean frontal zones across the deglaciation. Our results suggest an expanded glacial Antarctic region trapped CO2, whereas deglacial expansion of the subantarctic permitted ventilation of the trapped CO2, contributing to a rapid atmospheric CO2 rise. We identify frontal positions as a key factor balancing CO2 outgassing versus sequestration in a region currently responsible for nearly half of global ocean CO2 uptake. Plain Language Summary: The Southern Ocean is a key region for the inhalation and exhalation of carbon dioxide, responsible for absorbing nearly half of the total amount of atmospheric c taken up by the modern global ocean. Today, regions of communication between the deep ocean and atmosphere are bounded by oceanographic fronts. During cold glacial periods, when sea ice cover expanded in the Southern Ocean, these regions were shifted northward. Our data shows that this northward movement pinched together the fronts in the Southern Indian Ocean, restricting glacial ocean‐atmosphere gas exchange, allowing CO2 to accumulate in the deep ocean. We find that at the end of the glaciation, the fronts returned southward and expanded, allowing transfer of the stored CO2 into intermediate and surface waters before escaping to the atmosphere. This trapping and releasing mechanism driven by frontal shifts is important for understanding how changes in Southern Ocean dynamics can affect the ability of the oceans to take up the additional atmospheric CO2 produced from human activities. Key Points: Indian Ocean Antarctic Intermediate Water was a pathway for ventilation of a deglacial carbon reservoirLatitudinal shifts in the Southern Ocean fronts contributed to glacial carbon storage and deglacial ventilationIntermediate waters of the Southern Indian Ocean were more than 2,000 years older in the deglaciation than the glacial and Holocene [ABSTRACT FROM AUTHOR]

Environmental DNA (eDNA) metabarcoding has the potential to revolutionize conservation planning by providing spatially and taxonomically comprehensive data on biodiversity and ecosystem conditions, but its utility to inform the design of protected areas remains untested. Here, we quantify whether and how identifying conservation priority areas within coral reef ecosystems differs when biodiversity information is collected via eDNA analyses or traditional visual census records. We focus on 147 coral reefs in Indonesia's hyper-diverse Wallacea region and show large discrepancies in the allocation and spatial design of conservation priority areas when coral reef species were surveyed with underwater visual techniques (fishes, corals, and algae) or eDNA metabarcoding (eukaryotes and metazoans). Specifically, incidental protection occurred for 55% of eDNA species when targets were set for species detected by visual surveys and 71% vice versa. This finding is supported by generally low overlap in detection between visual census and eDNA methods at species level, with more overlap at higher taxonomic ranks. Incomplete taxonomic reference databases for the highly diverse Wallacea reefs, and the complementary detection of species by the two methods, underscore the current need to combine different biodiversity data sources to maximize species representation in conservation planning. [ABSTRACT FROM AUTHOR]

In this paper, the design and research of a sensor-based personal air-quality monitoring device are presented, which is retrofitted into different personal protective face masks. Due to its small size and low power consumption, the device can be integrated into and applied in practical urban usage. We present our research and the development of the sensor node based on a BME680-type environmental sensor cluster with a wireless IoT (Internet of Things)-capable central unit and overall low power consumption. The integration of the sensor node was investigated with traditional medical masks and a professional FFP2-type mask. The filtering efficiency after embedding was validated with a head model and a particle counter. We found that the professional mask withstood the embedding without losing the protective filtering aspect. We compared the inner and outer sensor data and investigated the temperature, pressure, humidity, and AQI (Air Quality Index) relations with possible sensor data-fusion options. The novelty is increased with the dual-sensor layout (inward and outward). It was found that efficient respiration monitoring is achievable with the device. With the analysis of the recorded data, characteristic signals were identified in an urban environment, enabling urban altimetry and urban zone detection. The results promote smart city concepts and help in endeavors related to SDGs (Sustainable Development Goals) 3 and 11. [ABSTRACT FROM AUTHOR]

The use of land use regulations to enhance a city's sustainability portfolio is not well understood by public administration and policy scholars. Given the positive impact higher-density, environmentally conscious zoning instruments can have on a city's overall progress toward increased sustainability, we seek to determine why some cities use these sustainability-focused land use regulations and others do not. After developing an explanatory framework emphasizing a city's population growth and environmental stress, as well as its political institutions and economic conditions, we use an enhanced ICMA's (International City/County Management Association) Local Government Sustainability Practices survey to test our predictions. We find that cities experiencing greater population growth and environmental stress will be more likely to include land use regulations in their sustainability portfolios. We also find that cities operating under council-manager forms of government and those with greater fiscal resources are more likely to have sustainability-focused zoning regulations in place. [ABSTRACT FROM AUTHOR]

Integrated crop–livestock systems (ICLS) are among the main viable strategies for sustainable agricultural production. Mapping these systems is crucial for monitoring land use changes in Brazil, playing a significant role in promoting sustainable agricultural production. Due to the highly dynamic nature of ICLS management, mapping them is a challenging task. The main objective of this research was to develop a method for mapping ICLS using deep learning algorithms applied on Satellite Image Time Series (SITS) data cubes, which consist of Sentinel-2 (S2) and PlanetScope (PS) satellite images, as well as data fused (DF) from both sensors. This study focused on two Brazilian states with varying landscapes and field sizes. Targeting ICLS, field data were combined with S2 and PS data to build land use and land cover classification models for three sequential agricultural years (2018/2019, 2019/2020, and 2020/2021). We tested three experimental settings to assess the classification performance using S2, PS, and DF data cubes. The test classification algorithms included Random Forest (RF), Temporal Convolutional Neural Network (TempCNN), Residual Network (ResNet), and a Lightweight Temporal Attention Encoder (L-TAE), with the latter incorporating an attention-based model, fusing S2 and PS within the temporal encoders. Experimental results did not show statistically significant differences between the three data sources for both study areas. Nevertheless, the TempCNN outperformed the other classifiers with an overall accuracy above 90% and an F1-Score of 86.6% for the ICLS class. By selecting the best models, we generated annual ICLS maps, including their surrounding landscapes. This study demonstrated the potential of deep learning algorithms and SITS to successfully map dynamic agricultural systems. [ABSTRACT FROM AUTHOR]

Aims: Floods are one of the natural hazards that cause financial and human losses every year. This research was carried out to determine the flood risk zones in the Friesian watershed with Artificial Neural Network Model and Support Vector Machine to identify the influential factors in the occurrence of floods in the region, necessary measures for control, planning and protective and management measures in to reduce the risk of flooding. Methodology: This was an applied, analytical and developmental study carried out in 2023 in Firizi watershed. 14 environmental parameters were used for flood risk zoning. Then, 150 flood points in the basin were extracted using satellite images and randomly divided into 70% for model training and 30% for validation. Then, the layers were weighted, and the flood potential maps were classified into 5 categories: Very high, high, medium, low, and very low, using the natural fracture method. Then, the accuracy of the models used in the research was investigated using the Receiver Operating Characteristic method. Findings: The research assessed the accuracy of the models by employing the Receiver Operating Characteristic approach. The collected findings indicate that the Artificial Neural Network model outperformed the Support Vector Machine model, with an Area Under the Curve value of 0.923 compared to 0.898. Conclusion: The flooding in the basin primarily affected areas with gentle slopes, rocks that are resistant to water flow and not easily penetrated, lower altitudes, and lands located next to rivers (known as floodplains). The basin contains areas that are classified as high and extremely high-risk, primarily in its central and outflow regions. [ABSTRACT FROM AUTHOR]

The marine-terrestrial interlaced zone serves as a crucial spatial hub linking the functional zoning of both land and sea areas. Optimizing the ecological function, economic function, and national security function of the marine-terrestrial interlaced zone is of significant importance for promoting the coordination between land and sea functional oriented zoning and achieving their mutual beneficial interaction. It also contributes to enhancing the economic, social, and environmental benefits, effectively allocating resources, and advancing social sustainability. Building upon the clarification of the current development status and characteristics of China's marine-terrestrial interlaced zone, the research systematically examines the key issues existing in the coordination between land and sea functional oriented zoning at the marine-terrestrial interlaced zone. Furthermore, it puts forward key construction tasks and development pathways aimed at enhancing the coordination functions of the marine-terrestrial interlaced zone. [ABSTRACT FROM AUTHOR]

A series of Mesozoic granites related to the subduction of the ancient Pacific plate are widely developed in the eastern part of the North China Craton. These granites contain garnet as a minor phase. Garnet records important information such as magma composition, temperature and pressure, and is an important object in the study of petrological evolution of granites. We take the late Jurassic garnet–bearing monzogranite in Xingcheng, Liaoning as the research object, and the magmatic evolution process in the study area is discussed by the in–situ element geochemical variation and the Raman effect of magmatic garnet girdle. It is found that the garnet has a zonation structure in which the contents of MnO and CaO increase and then decrease, while the contents of FeO and MgO decrease and then increase from the core to the edge. Through the simulation of the crystallization sequence of garnet and biotite, it is found that the garnet has "M" type "spessartine bell–shaped profile", Mn/(Ca + Mg + Fe) value and Mn/Fe value, which reflects that the crystallization pattern of minerals in the magma is dominated by biotite crystallization to garnet crystallization. It is considered that forward and reverse girdle can exist in the same garnet; the separation and crystallization of minerals in the late magmatic evolution is the main reason for the change in the compositional profile of the garnet. This is consistent with the late evolution of granitic magmas in the northeastern of the North China Craton after the late Jurassic. [ABSTRACT FROM AUTHOR]

Landsliding and slope instability pose significant risks to human settlements and infrastructure. This study aims to develop a landslide susceptibility map for the mountainous regions of Tehran province, Iran. The rock engineering approach was employed at a regional scale, utilizing a database of regional landslides. The semi‐quantitative Rock Engineering System method was applied, considering 10 conditioning factors. The model was validated using historical landslide data, showing strong correlation. The majority of landslides occurred within medium and high susceptibility zones. Geological units, particularly the Karaj Formation's claystone layers, displayed a clear association with landslide susceptibility. The rock engineering approach yielded a highly accurate susceptibility map. Findings can inform future territorial planning in the area. [ABSTRACT FROM AUTHOR]

The productivity and quality of grapes and wine are significantly influenced by changing climate conditions in vineyard regions worldwide. This study assesses changes in temperature, precipitation, and viticultural indices between the periods of 1971–1990 and 2000–2019 in Trebinje, a vineyard area located in the Herzegovina region of Bosnia and Herzegovina. Between the two periods, mean annual temperature increased by 2 °C and mean vegetational temperature by 2.4 °C, while mean precipitation remained within the range of climatological variability, with annual values increasing by 6% and vegetational values decreasing by 4.6%. Warming resulted in a longer duration of the vegetation season by 23.7 days, a reduced risk of late spring frosts, and an increased risk of very high temperatures during summer. These changes led to the reclassification of Trebinje vineyards' climate from Region III to Region V, based on the Winkler index values, from a "temperate warm" to a "warm" category, based on the Huglin heliothermic index, and from "cool nights" to "temperate nights" based on the cool nights index. The category of the dryness index remained unchanged between the two periods. The findings emphasize the necessity for a renewal of the viticultural zoning and the development of climate change-adaptation plans for this region. [ABSTRACT FROM AUTHOR]

The agricultural sector faces significant challenges worldwide due to climate change. The pressure exerted by altered thermal conditions drives the zonal shift for various cultivations. This study aims to analyze and present the spatiotemporal evolution of the growing degree days (GDD) index in the northern Mediterranean Basin (NMB). More specifically, this research presents the multiyear analysis of the GDD index, which is focused on a high-value vine cultivation derived from the E-OBS dataset. The investigated time period spans from 1969 to 2018, and the performed analysis indicates a broad shift/expansion in areas with GDDs exceeding 2000 heat units. This is present in traditional winemaker countries such as France and Italy. Still, it is also evident that there is a high positive change in countries such as Serbia, Bulgaria, and other Balkans countries. The findings may be helpful in the strategic planning of the agricultural sector in these countries or on a vinery scale. [ABSTRACT FROM AUTHOR]

Delineation of hydrothermal alteration zoning is important for exploration vectoring toward mineralization centers in porphyry systems, and shortwave infrared (SWIR) spectroscopy is widely used to map hydrothermal minerals distribution for porphyry Cu exploration. However, the SWIR method cannot effectively detect anhydrous alteration minerals (e.g., K-feldspar) in the potassic zone. Magnetite can be formed by potassic alteration and destroyed by phyllic (quartz-sericite-pyrite) alteration. The relative intensity of these two alteration types can be quantified by magnetic susceptibility. Here, we integrate the SWIR and magnetic susceptibility measurements to map hydrothermal alteration zones at the Pulang porphyry Cu-Au deposit in northwestern Yunnan, one of the largest porphyry deposits in the SW China-mainland SE Asia region. White mica, chlorite, and montmorillonite + kaolinite were identified in ~ 60%, ~ 30%, and ~ 15% of the analyzed samples from the Pulang deposit, respectively. Volumetric bulk magnetic susceptibility (Kbulk) values are high in the potassic-altered rocks, but low in phyllic-altered rocks. Using white mica as a proxy for sericite alteration, white mica-chlorite assemblage for chlorite-sericite alteration, chlorite-epidote-actinolite assemblage for propylitic alteration, montmorillonite-kaolinite-dickite assemblage for argillic alteration, and Kbulk (> 0.5 × 10–3 SI) for potassic alteration, we delineate the alteration zoning at Pulang. From the causative porphyry center outward, four alteration zones are delineated (potassic → chlorite-sericite → sericite → argillic). The ore-distal propylitic alteration was developed both in the shallow and deeper levels of the hydrothermal system, resembling typical porphyry-style alteration zoning patterns. Our work shows that high Kbulk value is a useful vector toward Cu mineralization at Pulang, whereas illite crystallinity (SWIR-IC), white mica Al–OH spectral absorption peak, and chlorite Fe-OH spectral absorption peak are less effective. We highlight that magnetic susceptibility measurement is an effective alteration-mapping method when mineralization is developed in the potassic zone (with largely aspectral minerals such as quartz, K-feldspar, and magnetite), while SWIR scalars are more useful when mineralization is developed in the phyllic and/or propylitic zones. [ABSTRACT FROM AUTHOR]

Petrologic investigations of martian meteorite Northwest Africa (NWA) 13227 indicate it is an olivine-gabbroic shergottite, a relatively new shergottite group, which differs from previously described gabbroic shergottites due to relatively high quantities of olivine. NWA 13227 is comprised of phenocrystic, oscillatory-zoned pyroxene and olivine, set in a matrix of maskelynite, Fe-Cr-Ti oxides, phosphates, and sulfides. It displays gabbroic and poikilitic textures in 2D from back-scattered electron images, and in 3D from X-ray Computed Tomography (XCT) imaging, suggesting affinities to both poikilitic and gabbroic shergottites. Measured εHf and εNd values of bulk rock (-19.7 and −5.9, respectively) and its chondrite-normalized La/Yb ratio of 1.13 indicate the specimen is derived from a mantle reservoir relatively enriched in incompatible trace elements and is similar to that which produced most 'enriched shergottites.' Based on the Ti/Al ratio of pyroxene, phosphorous zoning in olivine, and minor components in phosphates and oxides, we infer that NWA 13227 began crystallizing under reducing conditions of QFM–2.6 and temperatures of ∼ 1100 °C, consistent with conditions in Mars' lower crust/upper mantle. The sample finished crystallizing at or near the surface under redox conditions between QFM–0.5 to QFM–0.1 and temperatures of ∼ 850 °C. The volatile element compositions in apatite indicate that NWA 13227 experienced degassing during the last stages of crystallization. The timing of crystallization is estimated at 225 Ma ± 50 Ma using a Lu-Hf and Sm-Nd source versus age model. [ABSTRACT FROM AUTHOR]