Suitable Regions Research Articles

A mechanistic model approach to characterize suitable regions for Salmo salar aquaculture in the Yellow Sea under global warming

Global warming has a profound effect on aquaculture. Salmon aquaculture, as an emerging industry in China, is particularly vulnerable to climate change. For this reason, spatial planning with mechanistic understanding is essential for mitigating and adapting to the impacts of climate change. Through the use of dynamic energy budget models for Atlantic salmon (Salmo salar) with fine-scale environmental data under 0 m, 20 m, 40 m, and 60 m depth, this study established a framework for identifying optimal regions for salmon aquaculture in the Yellow Sea under current and two Shared Socioeconomic Pathway scenarios (SSP1-2.6 and SSP5-8.5) in the 2050s. These results suggest that most regions in the Yellow Sea under 40 m and 60 m depth are suitable for salmon farming at both current and future scenarios, the central region of the Yellow Sea under 20 m (38°N, 123°E) is the optimal site for salmon aquaculture in China. Overall, these findings provide valuable support for aquaculture management and can help stakeholders create an effective blueprint for adaptation strategies.

MaxEnt model strategies to studying current and future potential land suitability dynamics of wheat, soybean and rice cultivation under climatic change scenarios in East Asia.

Climate change and variability are projected to alter the geographic suitability of lands for crops cultivation. Accurately predicting changes in the potential current and future land suitability distribution dynamics of wheat (Triticum aestivum), soybean (Glycine max) and rice (Oryza sativa) crops due to climate change scenarios is critical to adapting and mitigating the impacts of bioclimatic changes, and plays a significant role in securing food security in East Asia region. This study compiled large datasets of wheat, soybean and rice occurrence locations from GBIF and 19 bioclimatic variables obtained from the WorldClim database that affect crops growth. We recognized potential future suitable distribution regions for crops under the one socioeconomic pathway, (SSP585) for 2021-2040 and 2041-2060, using the MaxEnt model. The accuracy of the MaxEnt was highly significant with mean AUC values ranging from 0.833 to 0.882 for all models evaluated. The jackknife test revealed that for wheat, Bio4 and Bio12 contributed 17.6% and 12.6%, for soybean Bio10 and Bio12 contributed 15.6% and 49.5%, while for rice Bio12 and Bio14 contributed 12.9% and 36.0% to the MaxEnt model. In addition, cultivation aptitude for wheat, soybean, and rice increased in southeast China, North Korea, South Korea, and Japan, while decreasing in Mongolia and northwest China. Climate change is expected to increase the high land suitability for wheat, soybean, and rice in East Asia. Simulation results indicate an average decrease of unsuitable areas of -98.5%, -41.2% and -36.3% for wheat, soybean and rice from 2060 than that of current land suitability. In contrast, the high land suitable for wheat, soybean and rice cultivation is projected to increase by 75.1%, 68.5% and 81.9% from 2060 as compared with current. The findings of this study are of utmost importance in the East Asia region as they present an opportunity for policy makers to develop appropriate adaptation and mitigation strategies required to sustain crops distribution under future climates. Although the risks of wheat, soybean and rice cultivation may be significantly higher in the future because of high temperatures, heat waves, and droughts caused by climate change.

Predicting the Distribution of the Invasive Species Atractosteus spatula, the Alligator Gar, in China

The Alligator Gar (Atractosteus spatula) is a very dangerous species that has an extremely destructive impact on the ecological environment in aquatic areas. As a kind of ornamental fish, it is spreading rapidly all over the world. In order to avoid or delay the spread of Alligator Gar in China, it is urgent to further monitor and clarify its distribution range within the country. In this study, a maximum entropy model (MaxEnt) and geographical information system (ArcGIS) were used to identify suitable regions under climate change scenarios in China, and the significance of environmental factors that shape this species’ distribution were evaluated. According to the geographical distribution data of Alligator Gar and selected environmental variables, the potential habitat area of Chinese Alligator Gar under four climate scenarios in the present (2000s) and future (2050s and 2070s) was predicted. (1) The main environmental variables affecting the potential geographical distribution of Alligator Gar are temperature factor variables (the mean temperature of the warmest quarter and the mean temperature of the coldest quarter), precipitation factor variables (precipitation in the driest month and in the driest quarter), and altitude. (2) Under the current climate conditions, the suitable breeding areas of Alligator Gar are mainly concentrated in the Guangxi Zhuang Autonomous Region, Guangdong Province, and Hainan Province. Under the four future climate scenarios, the distribution area of the total suitable area of Alligator Gar will gradually decrease, and the suitable area of Alligator Gar will spread to high latitudes.

Geo-information Technology-Based Suitability Site Selection for Temperate Fruits of Apple, Peach, and Plum in Tigray Region, Northern Ethiopia

Introduction: Growing temperate fruits in its appropriate region is important for growers and is used as a means of improving agricultural production, helps to improve livelihood of the community and source of income. The land needs to careful and appropriate use that is vital to achieve optimum production and productivity, and to guarantee environmental sustainability for the future generation. This requires an effective and up to date land information for effective utilization, management, and for decision making purpose. All agricultural crops, needs their ecological requirements for modelling the spatiotemporal distribution of land suitability potential and for performing agricultural activities effectively and accurately. There is a problem related to proper site selection for growing temperate fruits in the Tigray region and to solve this problem GIS-based suitability site selection for growing temperate fruit trees is important for getting better production and to help in improving the livelihood of the community.
 Methods: To identify the ecological requirements, for growing temperate fruits considers the physical, meteorological, and landscape environmental factors. To come up with the best suitability regions, physical, meteorological, and landscape spatial layers of the study area were collected from different primary and secondary data sources and stored in a personal geodatabase with the same resolution, cell size, and projection system. After collecting the important parameters, reclassification of these factors and using their influences, overlay analysis was performed to get the potential suitability sites for apple, plum, and peach fruits, and the model result was validated using ground control points.
 The Results: According to the overlay-based suitability modeling approach, suitability sites of these low chilling temperate fruits were identified and mapped. Apple has a potential of 21% as suitable land and 79% as an unsuitable area of the total area of 54,573km2, peach has a potential of 17% as suitable land and 83% as unsuitable land and plum has a potential of 27% as suitable land and 73% as unsuitable land in Tigray region. Around 50 ground control points (GCP) was collected from the ground, and 80% of the ground data were fitted with the suitability sites found from the overlay analysis modeling.
 Conclusion: This information was used as a baseline information for different agricultural experts, stakeholders, research organizations, NGO’s and policy makers for growing of low-chilling temperate fruits and getting a good production in the region.

Petrogenesis and Tectonic Setting of Early Cretaceous A-Type Granite from the Southern Great Xing’an Range, Northeastern China: Geochronological, Geochemical, and Hf Isotopic Evidence

The southern Great Xing’an Range is located in the eastern Central Asian Orogenic Belt, where voluminous igneous rocks developed during the Late Mesozoic period. The east slope of the southern Great Xing’an Range has been the topic of numerous debates on the level of influence of the Mongol-Okhotsk and the Paleo-Pacific regimes in the Late Mesozoic period. Therefore, this area is a suitable region in which to study the temporal changes in magma sources and tectono-magmatic evolution. In this paper, whole-rock geochemical data, zircon U-Pb geochronology, and zircon Hf isotope studies were carried out on the granitoids in the east slope area of the southern Great Xing’an Range. LA-ICP-MS zircon U-Pb dating revealed the ages of four granitoid samples: 135.0 ± 0.6 Ma, 130.7 ± 1.4 Ma, 130.4 ± 1.0 Ma, and 127.6 ± 0.8 Ma, respectively. The Hf isotope values 176Hf/177Hf = 0.282751–0.283015, εHf (t) = +2.0~+11.5, and T2DM = 583~1442 Ma suggest that the magma was generated by partial melting of Meso- and Neoproterozoic accreted and thickened low crust. The whole-rock geochemical data implied that these granitoids are A-type granite and their formation is closely linked to the subduction of the Paleo-Pacific Ocean plate. These geochemical, isotopic, and geochronological data suggest that the Early Cretaceous magmatism in the east slope area of the southern Great Xing’an Range formed in an extensional back-arc tectonic setting associated with the slab roll-back of the Paleo-Pacific plate subduction.

Accurate image derived input function in [18F]SynVesT-1 mouse studies using isoflurane and ketamine/xylazine anesthesia

BackgroundKinetic modeling in positron emission tomography (PET) requires measurement of the tracer plasma activity in the absence of a suitable reference region. To avoid invasive blood sampling, the use of an image derived input function has been proposed. However, an accurate delineation of the blood pool region in the PET image is necessary to obtain unbiased blood activity. Here, to perform brain kinetic modeling in [18F]SynVesT-1 dynamic scans, we make use of non-negative matrix factorization (NMF) to unmix the activity signal from the different tissues that can contribute to the heart region activity, and extract only the left ventricle activity in an unbiased way. This method was implemented in dynamic [18F]SynVesT-1 scans of mice anesthetized with either isoflurane or ketamine–xylazine, two anesthestics that we showed to affect differently radiotracer kinetics. The left ventricle activity (NMF-IDIF) and a manually delineated cardiac activity (IDIF) were compared with arterial blood samples (ABS), and for isoflurane anesthetized mice, arteriovenous (AV) shunt blood data were compared as well. Finally, brain regional 2 tissue compartment modeling was performed using IDIF and NMF-IDIF, and the model fit accuracy (weighted symmetrical mean absolute percentage error, wsMAPE) as well as the total volume of distribution (VT) were compared.ResultsIn isoflurane anesthetized mice, the difference between ABS and NMF-IDIF activity (+ 12.8 ±\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\pm$$\\end{document} 11%, p = 0.0023) was smaller than with IDIF (+ 16.4 ±\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\pm$$\\end{document} 9.8%, p = 0.0008). For ketamine–xylazine anesthetized mice the reduction in difference was larger (NMF-IDIF: 16.9 ±\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\pm$$\\end{document} 10%, p = 0.0057, IDIF: 56.3 ±\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\pm$$\\end{document} 14%, p < 0.0001). Correlation coefficient between isoflurane AV-shunt time activity curves and NMF-IDIF (0.97 ±\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\pm$$\\end{document} 0.01) was higher than with IDIF (0.94 ±\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\pm$$\\end{document} 0.03). The brain regional 2TCM wsMAPE was improved using NMF-IDIF compared with IDIF, in isoflurane (NMF-IDIF: 1.24 ±\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\pm$$\\end{document} 0.24%, IDIF: 1.56 ±\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\pm$$\\end{document} 0.30%) and ketamine–xylazine (NMF-IDIF: 1.40 ±\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\pm$$\\end{document} 0.24, IDIF: 2.62 ±\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\pm$$\\end{document} 0.27) anesthetized mice. Finally, brain VT was significantly (p < 0.0001) higher using NMF-IDIF compared with IDIF, in isoflurane (3.97 ±\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\pm$$\\end{document} 0.13% higher) and ketamine–xylazine (32.7 ±\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\pm$$\\end{document} 2.4% higher) anesthetized mice.ConclusionsImage derived left ventricle blood activity calculated with NMF improves absolute activity quantification, and reduces the error in the kinetic modeling fit. These improvements are more pronounced in ketamine–xylazine than in isoflurane anesthetized mice.

Potential crop yield gains under intensive soybean/maize intercropping in China

Abstract Aims Intensive soybean/maize intercropping, a specific form of intercropping, holds promise in addressing the challenges posed by increasing food demands, diminishing cropland areas, deteriorating soil quality, and escalating environmental pollution. Methods To evaluate the potential of this system, we conducted a national meta-analysis, quantifying its absolute yield gain (net effect, NE) and land use efficacy (land equivalent ratio, LER). We further investigated the underlying mechanisms by examining local climate, soil properties, and field management practices and then developed random forest (RF) models to assess the system's potential, incorporating current information on natural resources. Results In China, an average NE of 3.2 ± 0.1 Mg ha−1 and LER of 1.4 ± 0.02 were achieved by intensive soybean/maize intercropping. The variance of NE was significantly influenced by air temperature (10%), soybean delay days (8%), and maize plant density (9%). Similarly, the LER was strongly driven by soybean delay days (14%), sunshine hours (11%), and maize density (10%). Notably, this intensive intercropping system efficiently utilizes available resources, such as light, temperature (heat), accumulated temperature, and soil nutrients, particularly in regions characterized by low soil fertility and limited agricultural resources. Ultimately, the RF model estimated substantial overyielding of 2 800 kg per hectare, representing approximately 1.4 times the current soybean and maize production under China's monoculture. Conclusions The implementation of intensive soybean/maize intercropping is highly beneficial throughout China, especially in areas with limited agricultural resources. The Yangtze River Basin, in potentially, emerges as the most suitable region for adopting this intensive intercropping practice.

Climate zoning: identifying suitable regions for the occurrence of Alternaria Brown spot in tangerine trees in Brazil.

Brazilian citrus farming has been migrating to nontraditional citrus-growing regions, which can be considered a challenge for citrus growers, as not all these areas are suitable for tangerine cultivation. Thus, the mapping of regions exhibiting favorable climatic conditions for Alternaria brown spot has become crucial in the selection of appropriate locations for the establishment of new orchards. This mapping enables the implementation of an avoidance strategy, which entails steering clear of areas where the disease is prevalent, aligning with fundamental principles of disease control. Thus, this study seeks to zone areas with high and low climatic favorability for the occurrence of Alternaria brown spot in tangerine trees in Brazil. Historical climate data series from the NASA-POWER database were used for all municipalities in Brazil. Agrometeorological variables used to determine the development of Alternaria brown spot were average monthly air temperature (Tmean) and duration of leaf wetness period (LWD). Areas were considered unsuitable climatically when Tmean was <17 °C or >33 °C, relatively suitable when Tmean was between 13 °C and 33 °C and LWD <10%, and climatically suitable when Tmean was between 13 °C and 33 °C and LWD >10%. The states of Paraná, Santa Catarina and Rio Grande do Sul showed greater thermal amplitude within months and throughout the year. The southern region of the country has harsher winters, with minimum temperatures below 15 °C, which is unfavorable for the disease incidence. The states with the greatest favorability for Alternaria brown spot were Paraná, Santa Catarina, and Rio Grande do Sul, mainly from May to September. Rio Grande do Sul was the state in this region that showed the greatest favorability, as a consequence of leaf wetness exceeding 10 h. The main tangerine-producing regions in Brazil, including the southern part of Minas Gerais, the state of São Paulo and the metropolitan region of Porto Alegre, were mostly classified as relatively favorable areas for the occurrence of Alternaria brown spot. It is recommended that when establishing new tangerine orchards, regions with lower favorability for the occurrence of Alternaria brown spot, such as the North and Central-West regions of Brazil, particularly the states of Amazonas, Pará and Mato Grosso, should be selected. © 2023 Society of Chemical Industry.

Quantifying tau deposition with the Parametric Estimation of Reference Signal Intensity: a 18F‐PI2620 tau‐PET and 4R‐tauopathy study

AbstractBackgroundTau positron emission tomography (PET) can detect abnormal tau in neurodegenerative diseases. Conventional reference regions show high PET signal variability and are susceptible to contamination from partial‐volume effects of tracer uptake. The parametric estimation of reference signal intensity (PERSI) has been introduced as a new method to overcome those issues in patients with Alzheimer’s disease. The current study investigates its applicability on patients with underlying 4R‐tauopathy with the radiotracer 18F‐PI‐2620.MethodIn this preliminary, cross‐sectional analysis, 9 patients with clinically suspected 4R‐tauopathy underwent T1‐weighted MRI and 0‐60 min dynamic 18F‐PI‐2620 PET scanning. PERSI identified voxels within the white matter without specific binding for use as a reference region, which was compared with conventional anatomically defined reference regions. Time‐activity curves (TAC) and standardized uptake value ratios in the time window of 20‐40 min (SUVr20‐40) were generated for regions of interest (frontal lobe and globus pallidum). Data was analysed with FSL, PETSurfer, and R.ResultSUVr20‐40 in the globus pallidum were generally higher than in the frontal lobe for all reference regions (p &lt; 0.001). Frontal lobe, but not globus pallidum SUVr20‐40 were lower when derived from PERSI than when using the cerebellum (p &lt; 0.001) or pons (p &lt; 0.001). When comparing TACs, the PERSI ROI did not show the rapid peak (perfusion) as seen in all other regions (both target and reference), resulting in an overestimation of SUVR in the early phases of the scan. However, activity was the same for all reference regions at later timepoints resulting in similar SUVr20‐40 measures in the globus pallidum.ConclusionPERSI derived reference regions do not provide an accurate estimate of early phase perfusion and as such are not appropriate for use as reference regions for reference tissue modelling of PET data. Nonetheless, PERSI provides a suitable reference region for late phase SUVR calculations which is particularly relevant for diseases and tracers were an anatomically defined reference region cannot be easily determined. Future analyses on a larger cohort will determine effect sizes and ROCs to see whether PERSI is a suitable semi‐quantitative investigation to compare between different methodologies and diagnostic groups.

Changes of sediment provenance driven by the sea level and Indian summer monsoon in the northern Ninetyeast Ridge over the past 50 kyr

The Ninetyeast Ridge is situated within the world's largest sediment “source-sink” system, which extends from the Tibetan Plateau to the Bay of Bengal (BoB). Modest and stable sedimentation rate makes it a suitable region for studying long-term land-sea interaction. Recent research has primarily focused on the northern Bengal Fan, leaving limited knowledge about sedimentary processes on the distant Ninetyeast Ridge. This study aims to address this gap by investigating sediment transport pattern and its response to climatic and environmental changes since the last glacial period, using the gravity core (CJ04–50) selected from the northern Ninetyeast Ridge. The provenance discrimination based on δEu-(Gd/Yb)N revealed that the Irrawaddy (Irr) River, along with the Ganges-Brahmaputra (G-B) Rivers, represented the primary sources of the study area. Quantitative analysis equations indicated that the contribution of the G-B Rivers decreased from the last glacial period (22%) to the Holocene period (16%), while that of the Irr River increased (from 78% to 84%). Chemical index of alteration (CIA*) values, and terrigenous input proxy indicators (Ti/Ca, Rb/Sr) were used to indicate the changes of weathering and terrigenous input over the past 50 kyr. During the last glacial period, CIA*, Ti/Ca and Rb/Sr revealed significantly millennial-scale periodic changes, including the distinct declining trend during the Last Glacial Maximum (LGM) and Heinrich 2–4 (H2-H4) periods, followed by recovery trend during subsequent warm periods. During these cold periods of LGM and H2–H4, weakened Indian monsoon condition, reduced precipitation, cold climate, and expanding ice sheets, adversely affected physical erosion and chemical weathering in the source area, and the reduced river runoff impeded sediment transport. Conversely, these environmental factors reversed during relatively warm periods. Since the Holocene, CIA*, Ti/Ca and Rb/Sr declined, which was contrast to the climate change, and the sea level changes became the dominant factor. The rapidly rising sea level submerged the main terrigenous input channel (the Swatch of No Ground) of the G-B Rivers, made the depositional center shift from the Bengal Fan to the continental shelf, causing the decline of terrigenous input and lower CIA* values.

The Hettangian-Bajocian flora of the Shemshak group, Kerman, Iran

Numerous examples of macro plant fossils can be found in the Kerman region’s Early and Middle Jurassic successions. The Ab-e-Haji, Badamu, and Hojedk formations were among these patterns. One of the suitable regions for paleobotanical study is the Chatroud section. In this region, the Lower-Middle Jurassic is approximately 210 meters thick. 18 species of macro plant fossils from 14 genera, including Nilssonia polymorpha, Pterophyllum nathorsti, Podozamites distans, Elatocladus zamioides, Elatides thomasii, Nilssonia feriziensis, Nilssonia herriesi, and Beania sp., which are identified and described in this study, along with Pterophyllum schenki, Anomozamites marginatus, and Klukia exilis. In this region, there are two plant assemblage zones known as Anomozamites marginatus-Pterophyllum schenki Zone and Klukia exilis Zone. The Hettangian-Bajocian age is preserved at the Chatroud section.

Geospatial investigation of site suitability for ecotourism development using AHP and GIS techniques in Uttara Kannada district, Karnataka state, India

The study aimed to spatially examine the viability and site suitability of ecotourism in the Uttara Kannada district, India. Karnataka is a fantastic destination for a variety of travel and has a lot of potentials to promote ecotourism, which has acquired popularity in recent years. Ecotourism is important to the conservation and safeguarding of biodiversity. Consequently, the current research aims to find potential ecotourism areas in the Uttara Kannada district, utilizing the analytic hierarchy process (AHP) and Geographical Information System-Remote sensing (GIS-RS) methodologies. The study is based on the application of GIS-RS factors for landscape naturalness, climatic features, accessibility parameters, topographic attributes, protected and reserved regions, and natural attractiveness in the GIS platform via a weighted overlay method. To analyze and appraise the ecotourism potential in the study area, the research uses satellite and weighted overlays of auxiliary data from AHP. As an outcome, 53.54 % of the highly suitable land was found over the forest regions and finally, the Unsuitable regions were mainly indicated over the miscellaneous area (47.46 %). The majority of the most suitable ecotourism sites that fall under category S1 are located in the Taluks like Joida (27 %) and Karwar (15 %). The outcome of this paper as expected is that very high and moderately suitable regions were initiated in the forest region. The study's findings and methodology will be useful to decision-makers and planners.

Investigation of Added Value in Regional Climate Models for East Asian Storm Track Analysis

AbstractStudies have shown that regional climate models (RCMs) can simulate local climates at a higher resolution for specific regions compared to global climate models (GCMs), making dynamic downscaling using RCMs a more effective approach. Therefore, RCMs have become valuable tools for evaluating the potential impacts of climate change on specific regions and for informing local adaptation strategies. To fully understand the added value (AV) of RCMs, it is essential to understand how the characteristics differ between land and ocean. The complex topography of East Asia, including land and sea, makes it a suitable region for evaluating the AV of RCMs. In this study, we compared two regional simulations that integrated the same RCMs but employed different GCMs from the Coordinated Regional Climate Downscaling Experiment for their ability to simulate storm tracks in East Asia. The results of the RCMs for the period from 1982 to 2005 were compared with their host Coupled Model Intercomparison Project GCM projections and high‐resolution reanalysis. In mountainous regions, the AV of the RCMs weakened the bias of the GCM and improved its agreement with the reanalysis due to the dynamical process near the high‐resolution topography. In plains and coastal areas, owing to the increase in horizontal resolution and clearly determined coastline in RCMs, small‐scale phenomena are well represented, and the storm track of RCMs shows similar values to that of the GCM in maritime regions. This study demonstrates the value of RCMs for improving the accuracy of climate projections in East Asia, informing adaptation strategies, and enhancing climate research.

Spatial Distribution of Major Fish Species Catches and Their Relationship with Environmental Factors in the Beibu Gulf, South China Sea

This study focused on major fish species caught from different ecological habitats to analyze the habitat changes in economically important fish in the Beibu Gulf. The maximum entropy model was constructed based on the data from 26 voyages obtained through the otter trawl fishery stock surveys conducted in the Beibu Gulf from 2006 to 2018. A total of 10 taxa of major fish catches, belonging to 4 families, 1 genus, and 5 species, were analyzed for their distribution characteristics in potential habitats during various ecological periods, specifically the withered and high-water periods, as well as their relationships with crucial environmental factors. During both the withered and high-water periods, the average area under the curve was 0.927, and all models had values exceeding 0.9. Salinity was identified as the principal factor during both periods. The salinity niche of Acropoma japonicum and the primary productivity niche of Sciaenidae were identified as the most restricted factors. The total distribution area of potentially suitable regions for major fish catches extended between 106°30′–109°45′ E and 17°30′–20°45′ N, and the area was lesser during the withered period. During the withered period, the distribution areas of Sciaenidae, Leiognathidae, and Saurida increased, while the distribution area of Trachurus japonicus increased during the high-water period. Sciaenidae and Trachurus japonicus exhibited the highest rates of change at 6.22% and 10.92%, respectively. This indicates that the high-water period may expand the range of suitable habitats for large catches that have an ideal habitat status in the Beibu Gulf. Therefore, it is crucial to anticipate the potential fish habitats in the Beibu Gulf and clarify their spatial distribution patterns.

Applying the World Stroke Organization roadmap in planning a model for stroke service implementation in Matrouh Governorate-Egypt: a World Stroke Organization young future stroke leaders’ analytical study

BackgroundThe global incidence of stroke is on the rise, primarily due to an increase in the aging population and the prevalence of vascular risk factors among the elderly. However, stroke is a treatable condition if promptly recognized and managed effectively. To optimize stroke management, it is crucial to establish a well-prepared infrastructure comprising adequately trained physicians working in collaboration with multidisciplinary teams. Equipped stroke units, easily accessible emergency medical services with a stroke code, and interconnected telestroke networks, further enhance stroke care delivery. Along with the current study, conducted by a task force from the World Stroke Organization’s Future Stroke Leaders Program, an assessment of the stroke infrastructure within Matrouh governorate in Egypt for stepwise implementation of stroke services, based on the World Stroke Organization’s stroke roadmap took place. The study consisted of two levels: Level One involved analyzing existing gaps that may impede the implementation of stroke services, while Level Two proposed strategies to address these gaps using a problem-solving approach.ResultsThe study identified the Matrouh governorate as a suitable region for stroke service implementation. The region exhibits a blend of urban and rural areas and is geographically distant from major healthcare centers. Matrouh also possesses a diverse population, subject to seasonal variations. Currently, it offers a mix of minimum and essential stroke services, which can be expanded and improved through a step-by-step approach guided by the World Stroke Organization’s stroke roadmap.ConclusionsMapping stroke infrastructures allows for the identification of potential gaps to optimize the potential for implementation of stroke services.

Metal levels in sediments and caged mussels in one of the industrial zones of the Eastern Aegean Sea.

Caged mussels make biomonitoring studies possible with their ability to take up pollutants in the industrial zones. The goal of this study was applied to assess metal levels in the biomonitoring organism Mytillus galloprovincialis Lamark, 1819 for transplantation from three locations for two periods (2016-2018) in the industrial zone of the Eastern Aegean Sea. Metals were also determined in sediments; high concentrations of Hg, As and Zn in surficial sediments of Nemrut Bay can cause hazardous impacts on the aquatic environment with respect to sediment quality guidelines. The highest contamination factor (Cf) was calculated for Hg (Cf = 10), suggesting serious anthropogenic pollution in the study area. According to Pearson product-moment correlation analysis, As is not correlated with other metals due to As mainly originating from natural sources. Hg, Cd, Pb and Cu concentrations increased in the transplanted mussels during a field transplant experiment because of chronic pollution from industrial activities. Cumulative effects of both the oil refinery and shipbreaking industry cause higher uptake of Hg, Cd, Pb and Cu in sampling station 3 as a result of higher exposure levels in transplanted mussels. Mussel consumption was compared with provisional maximum tolerable intake from literature; the estimated provisional intake (EDI) for Cd, Hg and Pb does not exceed maximum levels; however, Cu and Zn exceed reference EDI values. Since Nemrut Bay is heavily influenced by industrialisation, it is not a suitable region for seafood production.

Empirical estimation of habitat suitability for rare plant restoration in an era of ongoing climatic shifts

Accurate estimates of current and future habitat suitability are needed for species that may require assistance in tracking a shifting climate. Standard species distribution models (SDMs) based on occurrence data are the most common approach for evaluating climatic suitability, but these may suffer from inaccuracies stemming from disequilibrium dynamics and/or an inability to identify suitable climate regions that have no analogues within the current range. An alternative approach is to test performance with experimental introductions, and model suitability from the empirical results. We used this method with the Haleakalā silversword (Argyroxiphium sandwicense subsp. macrocephalum), using a network of out-plant plots across the top of Haleakalā volcano, Hawaiʻi. Over a ~ 5-year period, survival varied strongly across this network and was effectively explained by a simple model including mean rainfall and air temperature. We then applied this model to estimate current climatic suitability for restoration or translocation activities, to define trends in suitability over the past three decades, and to project future suitability through 2051. This empirical approach indicated that much of the current range has low suitability for long-term successful restoration, but also identified areas of high climatic suitability in a region where plants do not currently occur. These patterns contrast strongly with projections obtained with a standard SDM, which predicted continued suitability throughout the current range. Under continued climatic shifts, these results caution against the common SDM presumption of equilibrium between species’ distributions and their environment, even for long-established native species.

Estimation of the potential geographical distribution of invasive peach fruit fly under climate change by integrated ecological niche models

Climate change and biological invasions of insect pests are interlinked global concerns that drive shifts in the distribution of invasive insects. The peach fruit fly, Bactrocera zonata Saunders, is one of the most economically important Tephritidae species that attack several host plants and causes serious damage in Asia and Africa. Currently, B. zonata is absent from many countries and regions but has a risk of invasion. Therefore, it is crucial to investigate the impact of climate change on the global potential distribution of B. zonata. In this study, we used MaxEnt and CLIMEX models to estimate the risk area for B. zonata under near current and future climate conditions. The MaxEnt and CLIMEX results showed that the south of North and Central America was suitable for B. zonata. The European countries were slightly suitable for B. zonata. In Asia, the highly suitable regions of B. zonata included Saudi Arabia, United Arab Emirates, Oman, Iran, Pakistan, India, Nepal, Bangladesh, Bhutan, Myanmar, Thailand, Vietnam, and Laos. Moreover, China, Philippines, Indonesia, and Japan showed highly climate suitability for B. zonata. The climate suitability of B. zonata was increasingly high in the projection under climate change. The result of the two models showed that the climatic suitability for B. zonata will increase under climate change in China. Taken together, these predictive results support the quarantine of B. zonata for high-risk countries and provide in-depth information on how climatic changes may affect its possible geographic range.

GIS-based optimal site selection of the biogas facility installation using the Best-Worst Method

Renewable energy is currently a part of the energy supply. Türkiye, which has a significant potential in terms of renewable energy, offers various supports for biogas energy production. Biogas plants should be established at appropriate locations based on their legal requirements and efficiency. In this study, the application of the Best Worst Method (BWM) and Geographic Information System (GIS) integration for determining suitable locations for biogas plant installation in Türkiye, is presented. First, a suitable region for facilities was determined in a nationwide study. Subsequently, six criteria were determined for the selection of appropriate locations in line with the opinions of experts in this region. By overlay analysis using a GIS software, six criteria were combined using weight values and a site selection suitability map was generated. This map was divided into four classes as unsuitable, low suitability, moderate suitability and high suitability. When the spatial distribution of the suitable areas for the establishment of a biogas facility was examined, it was determined that the high suitability areas were 19931 ha (7.17%), the moderate suitability areas were 22805 ha (8.20%), the low suitability areas were 18300 ha (6.58%), and the unsuitable areas were 2786 ha (1%). The restricted area in this study were 219519 ha (77.04%). In this study, the site selection process was carefully planned and local factors, regulations and environmental impacts were taken into consideration. Correct site selection for biogas plants ensures efficient, environmentally friendly and economically sustainable operation of the plant.

Benefits and thermal limits of CO2-driven signaled windows opening in schools: an in-depth data-driven analysis

In the post-pandemic era, Signaled Manual Airing (SMA, i.e. windows opening driven by alarms and real-time IAQ measurements) is still expected to play a role in schools, either independently or in support of mechanical ventilation (MV) systems, as a cost-effective solution to meet more stringent regulatory requirements for indoor CO2 levels. The present study in-depth evaluates the impact of SMA on improved levels of CO2 but also its thermal downside in winter via a dedicated IoT-IAQ monitoring platform equipped with fully tuneable multi-threshold alarm schemes. An aged middle-school building, representative of a large amount of old existing school buildings in Italy (and Europe) and a Northern Italy location, were selected to investigate cold and high humidity winter conditions as the most critical for SMA. The mean indoor CO2 difference with reference classrooms without alarms ranged from 20% to an impressive nearly 70% reduction. We demonstrate a clear dependence on signalling mode and level of system usage learning. The best results were in fact attained with acoustically enhanced signalling (acu-SMA). As a downside effect, operating SMA at even moderately cold latitudes caused also thermal discomfort during the coldest days, with worsened response to the alarms. The observed mean CO2 levels maintained by classroom groups appear to be correlated with the average indoor temperature and its inverse product [CO2*Tindoor]-1 to a cumulative fatigue function with memory effect, referred as “thermal behavioural fatigue“. Bounds of generalization, further developments towards hybrid ventilation solutions and most suitable Italian regions for operating SMA in schools are finally discussed.