High Land Research Articles

Identifying Land Use Functions in Five New First-Tier Cities Based on Multi-Source Big Data

With the continuous development of big data technology, semantic-rich multi-source big data provides broader prospects for the research of urban land use function recognition. This study relied on POI data and OSM data to select the central urban areas of five new first-tier cities as the study areas. The TF-IDF algorithm was used to identify the land use functional layout of the study area and establish a confusion matrix for accuracy verification. The results show that: (1) The common feature of these five cities is that the total number and area of land parcels for residential land, commercial service land, public management and service land, and green space and open space land all account for over 90%. (2) The Kappa coefficients were all in the range [0.61, 0.80], indicating a high consistency of accuracy evaluation. (3) Chengdu and Tianjin have the highest land use function mixing degree, followed by Xi‘an, Nanjing, and Hangzhou. (4) Among the five new first-tier cities, Hangzhou and Nanjing have the highest similarity in land use function structure layout. This study attempts to reveal the current land use situation of five cities, which will provide a reference for urban development planning and management.

Event-Based Guidance and Incremental Control with Application to Fixed-wing Unmanned Aerial Vehicle Perched Landing Maneuvers

Considering the nonlinearity and unknown dynamics of fixed-wing unmanned aerial vehicles in perched landing maneuvers, an event-based online guidance and incremental control scheme is proposed. The guidance trajectory for perched landing must be dynamically feasible therefore an event-based trapezoidal collocation point optimization method is proposed. Introduction of the triggering mechanism for the rational use of computing resources to improve PL accuracy. Furthermore, a filter-based incremental nonlinear dynamic inverse (F-INDI) control with state transformation is proposed to achieve robust trajectory tracking under high angle of attack (AOA). The F-INDI uses low-pass filters to obtain incremental dynamics of the system, which simplifies the design process. The state transformation strategy is to convert the flight-path angle, AOA and velocity into two composite dynamics, which avoids the sign reversal problem of control gain under high AOA. The stability analysis shows that the original states can be controlled only by controlling the composite state. Simulation results show that the proposed scheme achieves high perched landing accuracy and a reliable trajectory tracking control.

Effect of Nitrogen on the Performance of Finger Millet in Eastern Ghat High Land Zone of Odisha, India

An experiment was conducted to find out performance of finger millet varieties to different levels of nitrogen under rainfed condition in kharif season of 2019 to 2021 at Regional Research and Technology Transfer Station (OUAT), Semiliguda, Koraput, Odisha, India. Four varieties of finger millet (Kalua, OEB- 602, Bhairabi and Arjun) and three different nitrogen levels (40, 60 and 80 kg/ha) along with 30 kg/ha each of phosphorus and potassium were laid out in split-plot design with three replications. The varieties were taken in the main plots and different nitrogen levels were assigned to the sub plots. The results revealed that highest number of tillers (6.1/hill), fingers (8.3/ear head), finger length (8.8 cm) along with maximum grain yield (2491 kg/ha), net return (Rs. 39464 per ha) and B: C ratio (1.94) were obtained with finger millet variety Arjun followed by Bhairabi. The application of 80 kg N/ha gave highest number of tillers (5.7/hill), fingers (7.7/ear head), finger length (8.4 cm) and grain yield (2399 kg/ha) with highest net return (Rs. 36237 per ha) and B: C ratio (1.86). From the present investigation, it can be concluded that finger millet variety Arjun can be grown with application of 80 kg N/ha along with 30 kg/ha each of phosphorus and potassium for maximum yield and economic return.

Urban environment during pregnancy and childhood and white matter microstructure in preadolescence in two European birth cohorts

Growing evidence suggests that urban environment may influence cognition and behavior in children, but the underlying pollutant and neurobiological mechanisms are unclear. We evaluated the association of built environment and urban natural space indicators during pregnancy and childhood with brain white matter microstructure in preadolescents, and examined the potential mediating role of air pollution and road-traffic noise. We used data of the Generation R Study, a population-based birth cohort in Rotterdam, the Netherlands (n = 2725; 2002–2006) for the primary analyses. Replication of the main findings was attempted on an independent neuroimaging dataset from the PELAGIE birth cohort, France (n = 95; 2002–2006). We assessed exposures to 12 built environment and 4 urban natural spaces indicators from conception up to 9 years of age. We computed 2 white matter microstructure outcomes (i.e., average of fractional anisotropy (FA) and mean diffusivity (MD) from 12 white matte tracts) from diffusion tensor imaging data. Greater distance to the nearest major green space during pregnancy was associated with higher whole-brain FA (0.001 (95%CI 0.000; 0.002) per 7 m increase), and higher land use diversity during childhood was associated with lower whole-brain MD (−0.001 (95%CI -0.002; −0.000) per 0.12-point increase), with no evidence of mediation by air pollution nor road-traffic noise. Higher percentage of transport and lower surrounding greenness during pregnancy were associated with lower whole-brain FA, and road-traffic noise mediated 19% and 52% of these associations, respectively. We found estimates in the same direction in the PELAGIE cohort, although confidence intervals were larger and included the null. This study suggests an association between urban environment and white matter microstructure, mainly through road-traffic noise, indicating that greater access to green space nearby might promote white matter development.

Potential for the complementary and integrative use of citizen science and modern science in flood risk reduction: A case study from Sri Lanka

This study sheds light on the complementation of citizen science, powered by indigenous knowledge and self-experience and modern science to reduce the flood risk. A questionnaire survey was conducted to recognize the perception of the community residing in the Kalu river basin which is frequently flooded, on floods, its impacts, causes, spatio-temporal changes and the possible solutions for mitigating the flood impacts. Data were analysed using statistical methods along with GIS and RS techniques and compared with scientific literature. The results exposed that the insights of the residents on the occurrence of high impact floods and Land Use Land Cover changes matched with scientific information. The indigenous knowledge gained throughout many centuries, influences on the attitudes and makes the residents prepare for floods. Also, the residents practice many measures to reduce risk. However, the residents prioritize engineering solutions over Nature-based solutions in flood risk reduction which can be attributed to the lack of awareness on ecosystem services. We conclude that the joint use of citizen science and scientific information is necessary to improve better understanding on the flood risk. Nevertheless, it is important to re-consider whether such outcomes reach the policy makers and the communities effectively.

Land surface temperature responses to land use dynamics in urban areas of Doha, Qatar

Rapid urbanization primarily converts naturally vegetated areas and pervious surfaces into impervious built-up areas, significantly transforming microclimates and ecological dynamics. The impervious surfaces, marked by their higher thermal conductivity, disrupt surface energy balance and accumulate solar heat, subsequently elevating the land surface temperatures (LSTs). This study investigates the impact of land use and land cover changes on summer and winter LSTs in Doha and Al Dayeen municipalities of Qatar, spanning from the years 2000 to 2023, using remote sensing techniques and Geographic Information Systems (GIS). The analysis of land use and land cover changes reveals a remarkable 343.16 % increase in the built-up area from 2000 to 2023, at the expense of previously existing desert lands and water bodies. While Qatar's desert land has high land surface temperature, substituting such areas with built-up exhibits a notable rise in temperatures. Additionally, land reclamation also results in elevated LSTs. The LST data derived from remote sensing sources demonstrates an upward trend for summer and a contrasting trend for winter. Specifically, the mean summer LST increases by 7.64 °C (0.34 °C annually), and the mean winter LST decreases by 4.87 °C (0.22 °C annually). Notably, built-up areas and desert lands consistently recorded the highest mean LST in both seasons in all observed years. A strong correlation was observed between summer and winter LST with land use and land cover patterns using Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Built-up index (NDBI) and Normalized Difference Barrenness Index (NDBal). The results imply the negative influence of climate change and the urgent need for urban planning mitigation measures to counteract the adverse effects of increasing LSTs, particularly in summer months, to ensure the human well-being and resilience of the urban environments.

Evaluation of food and fodder based cropping systems for sustaining productivity, resource use efficiency and profitability in western plain zone of Uttar Pradesh

A field experiment was conducted during 2015–16 to 2018–19 at the research farm of ICAR-Indian Institute of Farming Systems Research, Modipuram, Uttar Pradesh to assess the potential yield (PY), sustainability and resource use efficiency (RUE) of 7 cropping systems (CS), viz. maize + blackgram–pea–sorghum; cluster beanwheat-teosinte; stylo-berseem-maize + cowpea; clitoria-mustard–greengram; rice–chickpea–okra; rice–wheat and sugarcane–wheat system. The experiment was laid out in randomized block design (RBD) with 3 replications. Among the different cropping systems, rice (Oryza sativa L.)–chickpea (Cicer arietinum L.)–okra (Abelmoschus esculentus L.) was found to be most superior in terms of wheat equivalent yield (WEY) (19.77 t/ha/year) and sustainable yield index (SYI=0.894). The highest land use efficiency (LUE) was recorded with cluster bean (Cyamopsis tetragonoloba L.)–wheat (Triticum aestivum L.)–teosinte (Zea spp.) cropping system (95.16%) with 347 days of ground cover. Production efficiency was registered maximum with maize (Zea mays L.) + blackgram [Vigna mungo (L.) Hepper]–pea (Pisum sativum L.)–sorghum [Sorghum bicolor (L.) Moench] system (66.91 kg/ha/ day), followed by rice–chickpea–okra system (62.25 kg/ha/day). Nevertheless, the highest net return (` 300.8×103 / year) was realized with rice–chickpea–okra system. Total soil organic carbon (SOC) content was highest (1.34%) under stylo-berseem- maize + cowpea [Vigna unguiculata (L.) Walp.] cropping system in comparison to other cropping systems. Thus, it can be concluded that rice–chickpea–okra system proved more productive, remunerative (` 824/ha/day) and sustainable cropping system than the existing sugarcane (Saccharum officinarum L.)–wheat/ rice–wheat cropping system in the western plain zone of Uttar Pradesh, India.

Intercropped Soybean Plant Population in a Coffee Plantation and Its Effects on Agronomic Parameters and Geospatial Information

Coffee farming has high land use value, which can result in economic losses without proper land use planning. Intercropping has improved coffee production by providing an alternative income source to producers, especially in the crop formation phase. The objective of this study was to evaluate productivity, growth, and geospatial data in different soybean plant populations intercropped with coffee. The experiment was conducted at the Federal University of Uberlândia, in Monte Carmelo, Minas Gerais, Brazil. It had an experimental randomized block design with five treatments: the control (no soybeans); 80 thousand plants ha−1; 160 thousand plants ha−1; 240 thousand plants ha−1; and 320 thousand plants ha−1. Productive and vegetative characteristics of coffee and soybeans were evaluated, as well as the NDVI and GNDI vegetation indices. The mass of 1000 grains of soybean reached its peak (178.96 g) with a population of 222 thousand plants of soybean ha−1. The maximum soybean productivity of 102.78 bags ha−1 was obtained in the population of 185 thousand plants soybean ha−1. An increasing population of 240–320 thousand plants ha−1 soybean between coffee rows reduced soybean yield due to reduced light, causing plant lodging. The biometric parameters of the coffee trees did not change, which was evidenced by high normalized and green normalized difference vegetation indices (NDVI and GNDVI, respectively). Therefore, it is concluded that the use of soybeans between the coffee trees does not affect the vegetative and productive parameters of the coffee tree, making the use of the intercrop viable.

Pre-extension Demonstration of Soil Test Based NPS Fertilizer Recommendation under Lime Application for Bread Wheat (Triticum aestivum) in Horo Distric at Horo Guduru Wollega Zone, Oromia Region, Ethiopia

Wheat is a major crop produced in Ethiopian high lands and in particularly in study area, which is a staple food crop. Soil nutrient depletion restrains agricultural crop production and economic growth. A major challenge on recommendations on the amount and type of fertilizers to applied in the country level and in the study area. Soil test based phosphorous calibration study was conducted on bread wheat for three consecutive years for determination of the values of critical level phosphorus (10 ppm) and phosphorus requirement factor (11.03 kg/ha) in Horo District. This District was selected purposively based on potential Bread wheat production. Due to Ethiopia begun to use NPS fertilizer recently, Optimum NPS fertilizer rate for bread wheat production was determined in Horo District. In order to gain confidence in the diffusion of technology to end users, a pre-extension demonstration of the NPS fertilizer recommended rate for bread wheat based on soil tests was completed in the Horo district. The goal of this demonstration was to allow farmers to participate and test the technology during the 2020–21 cropping season. There were two treatments presented: a blanket recommendation and 100% phosphorous critical NPS at optimum nitrogen (46 kg/ha). The research findings were that the soil test crop-based NPS fertilizer rate application from 100% phosphorous critical NPS at optimum nitrogen (46 kg/ha) was recommended for the production of bread wheat in the Horo district. The analysis of variance indicated that, the highest grain yield (4110 kg/ha) was obtained from the application of Soil Test based NPS fertilizer recommendation (STBFR) whereas the lowest grain yield 3322.67 kg/ha from the blanket fertilizer recommendation. The economic analysis also revealed that the maximum net benefit 87089.40 Ethiopia Birr was obtained from STBFR. Soil test based NPS fertilizer recommendation was economically feasible and the highest Marginal rate of return and net income were obtained from soil test based fertilizer recommendation. Therefore, 100% Pc from NPS and Nitrogen 46 kg/ ha fertilizer rate recommended for bread wheat production and productive in the study area. Further scaling up/out the technology to reach more produced in the same soil type and agro ecology in particularly Eastern Wollega Zone and Horo district.

Time Variability Correction of CMIP6 Climate Change Projections

AbstractAccurate projections of climate change and associated extreme events under differing emission scenarios are linked to realistic representations of the temporal variability of the atmosphere at a variety of time scales, for example, annual, seasonal, synoptic, and daily. Here a new method is employed to explicitly quantify a model's ability to accurately represent covariance at and between differing time scales. From our global‐scale analysis, on average, raw Coupled Model Intercomparison Project Phase 6 (CMIP6) models misrepresent temporal variances at differing time scales for maximum temperature (tasmax) by a considerable margin, particularly at 183‐, 92‐ and 46‐day time scales. To ameliorate such variability errors, we propose a novel Time Variability Correction (TVC) method that corrects temporal covariances while preserving the essential time‐event sequence of the model simulations. We adopt a model‐as‐truth framework to evaluate the effectiveness of the TVC method under future forcing conditions when applied to daily tasmax simulations from 23 CMIP6 models for 1% of the global grid cells. TVC‐corrected temperatures generally show improved matching of temporal variance and lag correlations in the out‐of‐sample projection period compared to simple mean‐corrected projections. By imparting more realistic temporal‐correlations to model series, TVC is expected to improve the projections of extreme events associated with persistent heat, such as heatwaves. Applying TVC to future temperature projections using actual observations significantly increases the temperature variance in most middle to high latitude land regions in the Northern Hemisphere, while decreasing it in most low to middle latitude land regions, compared to simple mean‐corrected projections.

Evaluation of improved shallot (Allium cepa L. Aggregatum) varieties for yield and yield related traits in Gamo Zone, Southern Ethiopia

Shallot (Allium cepa var. ascalonicum Backer) is an important vegetable crop cultivated by small holder farmers for consumption in Gamo mid and high lands. However, its production and productivity is constrained by lack of improved shallot varieties in the study area. Field experiment was conducted in Gamo Zone during 2021 and 2022 cropping season. The objective of the experiment was to select well adaptive and high yielding shallot varieties for the study areas. Eight shallot varieties in two sets (bulb propagated sets and seed propagated sets) were evaluated in randomized complete block design with four replications by using double row spacing of 40cm x 20cm in Plot size of 2.4m x 2m. The combined analysis of the mean over years showed that there was a statistical significant mean difference (P<0.01) among the varieties for yield and some yield related traits. Among the bulb propagated varieties tested, the highest number of splits (13.75) per plant (bulb) was recorded by variety ‘’DZSHT-00/2” followed by “Minjar” (12.18). Similarly, “DZSHT-00/2” gave the highest bulb yield (21.22 t ha-1) followed by “Minjar” (19.27 t ha-1). On the other hand, the highest marketable bulb yield of 9.61 t ha-1 was recorded by variety “Tropics” followed by “DZSHT-157-21” (7.47 t ha-1). Hence, varieties “DZSHT-005/2” and “Tropics” are recommended for popularization and production due to their better yield and adaptability in the study area.

Exploring the relationship between regional tourism development and land use efficiency: A case study of Guangxi Zhuang Autonomous Region, China.

The utilization efficiency of land resources is an essential embodiment of economic development, social development, and ecological development and is a critical core to measure how to maximize the efficiency of land resources under limited conditions. The land is an important content and essential carrier of the research of tourism development level. This paper selects Panel Data from 2010 to 2019 to research the Guangxi regional tourism development. The entropy weight method and stochastic frontier production function (SFA) model were used to evaluate the development level of urban-rural tourism and the utilization efficiency of land resources in Guangxi. This paper uses the Panel Vector Autoregression (PVAR) model to analyze the internal relationship between urban-rural tourism development. The results show that: (1) Guangxi has a good level of tourism development and a high land use efficiency. (2) There is a reciprocal causation relationship between the regional tourism development level and land use efficiency in Guangxi, with significant levels of 0.005 and 0.034 respectively, indicating high credibility. This indicates that there is a mutual promotion and interaction between the two, which rely on and drive each other, promoting the joint sustainability of tourism development and land use efficiency. (3) . The tourism development level is greatly influenced by itself, with impact values all above 0.99. At the same time, land use also has a significant self-impact, with impact values all above 0.87. Their internal optimization system is solid and endogenous impetus is robust, which can drive their development. Establishing an effective strategy for developing and protecting land use is beneficial to promote the long-term effectiveness of sustainable tourism development, enhancing high-quality development of the tourism economy and improving people's living standards and quality.

Status of Azotobacter at coffee arabica rhizosphere in Bener Meriah Regency of Aceh Province

Coffee is one of the superior export commodity from agricultural sector in Indonesia. Arabica coffee produce especially from Aceh Province especially from Gayo High Land, one of these is from Bener Meriah Regency. One of limiting factor of production of arabica coffee in Bener Meriah Regency is N-total of soil is low. There are soil microorganisms can fixing N atmosphere, one of these is Azotobacter. Azotobacter can found in rhizosphere. This study aims to obtain status Azotobacter on arabica coffee rhizosphere that is the population of Azotobacter at different altitude and screening the capability of Azotobacter to increase N-total of soil. The soil samples used were taken from arabica coffee rhizosphere in Bener Meriah Regency at 800-1600 m MSL. The method used is the descriptive method to analyze the population of Azotobacter at different altitude and screening the capability of Azotobacter to increase N-total of soil. The result obtained that the highest population of Azotobacter was found at 800-1000 m MSL and the population of Azotobacter almost the same at 1000-1200, 1200-1400, and 1400-1600 m MSL. The result also obtained that three isolates of Azotobacter have capability to increace N-total of soil than that of control.

중소형 빌딩 특성이 매매가격에 미치는 영향분석

As times change, the factors influencing the prices of small and medium-sized buildings also change. There have been numerous studies on commercial establishments examining the impact of changes in phosphorus, but there is a lack of research on how the characteristics of small and medium-sized buildings affect sales prices. This study empirically analyzes how the characteristics of small and medium-sized buildings affect their sale prices. The findings are as follows. Small and medium-sized buildings with a large land area and high official land prices have a positive (+) effect on the sale price. Second, small and medium-sized buildings with a large floor area, as well as buildings that have violated regulations or have large floor areas (including underground floors) for space utilization, have a positive (+) effect on the sale price. However, the number of years that have passed since construction and the availability of parking have a negative (-) effect on the sale price of small and medium-sized buildings. In addition, it was found that the price of small and medium-sized buildings was affected by the type of buyer, a corporate investors had a positive (+) effect on the sale price. Therefore, small and medium-sized building investment entities should make decisions regarding acquisition, operation, and disposal while considering the characteristics of the building and the trading prices.

A Risk Analysis of Landslides on the Morawaka “Kanda” Area in the Matara District of Sri Lanka

The Morawaka Kanda area has become heavily impacted by the landslides in the recent years resulting in socio-economic and environmental damages. This area which consists of steep slopes, soft soil layers with feldspar, poor drainage, constructions, deforestation, settlements and gardens may be at high potential risk for landslides. Therefore, in this study, special attention has been drawn to examine the risks of landslides on the Morawaka “Kanda” area in the Matara district. The research framework of this study was planned based on field surveys for the data collection of landslide risks using a data collection sheet and questionnaire. Satellite data taken by survey department was used for the risk area mapping using Geographical Information Systems (GIS). According to the analysis of causative factors, high risky land area is about 18 km2 and it is 24% of the area. The land extent of moderate and low risk is nearly 64% of the total area in this study area. The moderate landslide risk areas covered 24.14km2 land. It is about 31%. 25km2 is about low risk. 45% is low and no risk. Still there is a risk for future landslides in the unstable slope on the right bank of the Morawaka Kanda landslide path in 2017. 55% of the families live in the high risk area and only 20% of the families are in the moderate risk while 25% of the families have low or no risk. 50% of the high risk families are in Morawaka Kanda and Yati Horagala. The identification of landslide prone areas play an important role in avoiding or minimizing hazards and the identification of potential landslide risk areas is very important to ensure the safety of lives and property.

Epilithic Diatom Assemblages and Indicators for the Assessment of Water Quality of Munzur Stream, Turkey

The epilithic diatoms of Munzur Stream, together with the chemistry and physical variables of the water, were examined in the samples taken annually from 3 stations on the creek between October 2016 and September 2017. A total of 69 diatom taxa were identified benthic habitat. Cocconeis placentula, Cymbella affinis, Cymbella excisiformis , Didymosphenia geminata, Gomphonema olivaceum, and Hannaea arcus became diatoms at all that reached significant relative abundance. Shannon-diversity (H’), species evenness (J’), species richness (S) in each station varied between stations and months. Regarding diversity (H), values ranged from 1.54 (in December, at S3) to 2.99 (in October, at S3). Evenness ranged from 0.09 to 0.22 at station S3 in September (at S1, in September). Evenness ranged from 0.09 at site S3 in September, to 0.22 at S1, in September. All stations and species were close to 1 value. Canonical correspondence analysis indicated that three environmental variables (TN,TP, PO4-3) significantly affected the distribution of epilithic diatom. The studied part of stream was characterized by the species susceptible to nutrients such as Didymosphenia geminata, Cymbella excisiformis and Hannaea arcus which are found in the regions located in high lands having advanced ecological status. The results of the present study highlighted the importance of diatoms as a bio-indicator for health condition of a stream.

Urban Flood And Its Correlation With Built-Up Area In Semarang, Indonesia

The expansion of urban areas is closely related to environmental problems such as changes in land use, flooding, and land subsidence. Semarang is a city with reasonably rapid development and a high land change experiencing floods and land subsidence. This paper will discuss land transformation caused by urban growth and its implications. It uses a combination of geospatial techniques and cloud computing Google Earth Engine (GEE) to carry out mapping over a large area without being constrained by computer capabilities. This study found that the built-up area in 2010 occupied 36.27% of the city, and it went up to 59.79% in 2021, in eastern, south-eastern, and northern parts of Semarang City in the last six years. Most of the built-up areas, especially those located in coastal areas, are located in areas with a high rate of land subsidence and urban flooding. The built-up area also significantly increases residential areas compared to other land cover types such as vegetation, open land, and water bodies. Built-up area growth also contributes to the rate of land conversion in Semarang City, especially in Mijen Regency; the vegetation cover was transformed into industrial areas and housing, which heavily stressed the land and environment. This leads to the increasing subsidence on the land of that area, which resulted in increasing tidal floods or rob.

Mountain Taiga in a Warming Climate: Contrast of Siberian Pine Growth along an Elevation Gradient

The growth and survival of trees in the Siberian Mountains are experiencing a strong influence on climate warming. We analyzed Siberian pine (SP, Pinus sibirica) growth within the treeline ecotone in high (>1000 m) and low (<900 m) lands. We used ground surveys, dendrochronology, and climate variable data analysis. We found a contrasting response of SP growth with increasing air temperature and moisture parameters along the elevation gradient. In the treeline ecotone and highlands, the tree’s growth has been increasing since warming onset in the 1970s, whereas in the lowlands, the initial growth increase switched to a growth drop since the beginning of the 2000s, with a consequent partial mortality of the Siberian pine forest caused by warming-driven water stress in combination with bark borers’ attacks. This mortality suggests the retraction of the Siberian pine range in the lowlands of the Siberian Mountains. The projected drought increase will likely lead to the substitution of Siberian pine with drought-tolerant species. The tree’s growth index (GI) dependence on air temperature and moisture variables includes two phases. In the first phase (since the warming onset in the 1970s), the trees’ GI was positively correlated with elevated temperature, whereas correlations with precipitation and soil moisture were negative. During the second phase (since the increase in warming in the 2000s), negative correlations between the GI and moisture variables switched to positive ones. The correlations of the GI with air temperature switched from positive to mostly insignificant. The wind’s influence on the trees’ growth changed from negative to insignificant since the 2000s within all elevation belts. Afforestation within the areas of Siberian pine mortality should not be based on the planting of Siberian pine but on drought-tolerant species such as larch (Larix sibirica) and Scots pine (Pinus sylvestris).

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.

Predator Effect of Atlantic Bonito on the Black Sea Anchovy and Their Sustainable and Optimal Fishery

The Atlantic bonito (Sarda sarda) and Black Sea anchovy (Engraulis encrasicolus) fisheries in the southern part of the Black Sea currently lack a consistent harvesting strategy. To address this issue, a fishery model has been developed to optimize and stabilize the predator-prey relationship between these two species. This study offers an optimal and stable predator-prey relationship, resulting in higher landings and profits for the commercial fishery compared to the current harvesting strategy outlined in the study. The findings of this research can be utilized to determine sustainable yields and fishing quotas for these fisheries. Additionally, the examination of the predator-prey relationship between these species has revealed that, on an annual average, 93,259 tonnes of anchovy are consumed by the Atlantic bonito, which corresponds to approximately 46% of the estimated average anchovy landing. Furthermore, it has been observed that a 10% increase or decrease in the Atlantic bonito's feeding habits on the anchovy population leads to fluctuations in anchovy landings of up to 13% and anchovy profits of up to 40%.