Lakes Region Research Articles

The Research on the Construction of Traditional Village Heritage Corridors in the Taihu Lake Region Based on the Current Effective Conductance (CEC) Theory

This study focuses on constructing a heritage corridor for traditional villages in the Taihu Lake region, aiming to promote the cultural heritage preservation and sustainable development of these villages through innovative pathway design. Based on the spatial distribution characteristics of traditional villages across five cities surrounding Taihu Lake (Suzhou, Wuxi, Changzhou, Huzhou, and Jiaxing) and the existing transportation network, this research integrates the Circuit Effective Conductance (CEC) theory with ArcGIS spatial analysis methods to optimize the pathways of the heritage corridor. The results show that the expected nearest neighbor distance of 307 traditional villages in the Taihu Lake region is 5245.61 m, with the actual nearest neighbor distance being 3385.60 m, a z-score of −11.85, and a nearest neighbor index of 0.645786, indicating that traditional villages in this region exhibit clustered distribution. Combined with kernel density results, a “dual-core–four zones–multiple scatter points” spatial structure of traditional villages in the Taihu Lake region is revealed, with Dongshan Island and Wujiang District serving as the primary and secondary cultural cores, respectively. By establishing a “dual-ring heritage corridor” spatial network, a stable pathway for village heritage preservation and cultural transmission has been formed, consisting of 137 heritage corridors. Meanwhile, the CEC model demonstrates high adaptability in generating circular heritage corridors, particularly in creating closed-loop structures around the lake, thereby enhancing the spatial connectivity of the corridors and facilitating the effective flow of cultural resources. Through the strategic design of outer and inner ring corridors, this study successfully links traditional villages in the Taihu Lake region and develops optimal travel routes. The study provides practical solutions for the protection, revitalization, and integration of cultural tourism in the region and offers a new perspective for constructing heritage corridors in lakefront geographies in China.

Movement corridors reveal conservation opportunities, challenges, and indigenous roles in the recovery of American Martens (Waabizheshi; Martes americana) in the upper Great Lakes region

Movement corridors reveal conservation opportunities, challenges, and indigenous roles in the recovery of American Martens (Waabizheshi; Martes americana) in the upper Great Lakes region

Visualizing climate change flood risks to community-centric critical infrastructure and local emergency services in the Great Lakes region: Metrics and insights

Visualizing climate change flood risks to community-centric critical infrastructure and local emergency services in the Great Lakes region: Metrics and insights

Rising Water Levels and Vegetation Shifts Drive Substantial Reductions in Methane Emissions and Carbon Dioxide Uptake in a Great Lakes Coastal Freshwater Wetland.

Coastal freshwater wetlands are critical ecosystems for both local and global carbon cycles, sequestering substantial carbon while also emitting methane (CH4) due to anoxic conditions. Estuarine freshwater wetlands face unique challenges from fluctuating water levels, which influence water quality, vegetation, and carbon cycling. However, the response of CH4 fluxes and their drivers to altered hydrology and vegetation remains unclear, hindering mechanistic modeling. To address these knowledge gaps, we studied an estuarine freshwater wetland in the Great Lakes region, where rising water levels led to a vegetation shift from emergent Typha dominance in 2015-2016 to floating-leaved species in 2020-2022. Using eddy covariance flux measurements during the peak growing season (June-September) of both periods, we observed a 60% decrease in CH4 emissions, from 81 ± 4 g C m-2 in 2015-2016 to 31 ± 3 g C m-2 in 2020-2022. This decline was driven by two main factors: (1) higher water levels, which suppressed ebullitive fluxes via increased hydrostatic pressure and extended CH4 residence time, enhancing oxidation potential in the water column; and (2) reduced CH4 conductance through plants. Net carbon dioxide (CO2) uptake decreased by 90%, from -267 ± 26 g C m-2 in 2015-2016 to -27 ± 49 g C m-2 in 2020-2022. Additionally, diel CH4 flux patterns shifted, with a distinct morning peak observed in 2015-2016 but absent in 2020-2022, suggesting changes in plant-mediated transport and a potential decoupling from photosynthesis. The dominant factors influencing CH4 fluxes shifted from water temperature and gross primary productivity in 2015-2016 to atmospheric pressure in 2020-2022, suggesting an increased role of ebullition as a primary transport pathway. Our results demonstrate that changes in water levels and vegetation can substantially alter CH4 and CO2 fluxes in coastal freshwater wetlands, underscoring the critical role of hydrological shifts in driving carbon dynamics in these ecosystems.

An Idealized Parameter Study of Destabilization and Convection Initiation in Coastal Regions. Part II: Onshore Synoptic-Scale Flow

Abstract While it has been established that pronounced sea-breeze fronts (SBF) develop under conditions of weak or offshore flow, with the SBF serving as a focus for convection initiation (CI), less is known regarding CI processes during large-scale onshore flow, including the potential existence and influence of embedded SBF. Challenges that have limited progress in addressing this question include the limited focus on cases under this flow regime and the coarse grid spacing used in prior model-based parameter studies, artificially decreasing the magnitude of convergence or thermodynamic gradients associated with the SBF and potentially leading to substantial error in representation of surface fluxes. In Part II of this two-part series, the authors address these prior challenges through execution of a suite of Cloud Model 1 (CM1) large-eddy simulations analyzing the impact of varying the magnitude of the onshore wind component (+2.5 and +5.0 m s−1), and radiative forcing and water surface temperature consistent for summertime in the Great Lakes region. In all simulations, a mesoscale enhancement of onshore flow and return flow were present, with a thermal gradient and convergence co-located with the leading edge of this enhanced flow providing evidence for the presence of a diffuse yet discernible SBF. The SBF progressed inland and separated areas where CI did and did not occur, highlighting the need for increased focus on SBF and CI in this less-studied flow regime. In conditions of weak onshore flow, surface-based CAPE was larger, CI was more common, and occurred closer to the coast.

Effects of Sediment Content, Flooding, and Drainage Process on Rice Growth and Leaf Physiology of Early Rice During Heading–Flowering Stage

In recent years, there has been a notable increase in the frequency and intensity of floods and heavy rains, which has resulted in the frequent inundation of rice-growing areas. Flooding during the heading–flowering stages of early rice can result in significant yield losses. To elucidate the response of rice to sediment content, flooding, and drainage processes and their underlying mechanisms, a pot experiment was conducted to investigate the effects of sediment contents (S1: 0, S2: 0.10 kg m−3, and S3: 0.25 kg m−3), flooding time (F1: 3 days and F2: 6 days), and drainage time (D1: 3 days and D2: 6 days) during the heading–flowering stage on the oxidation resistance and grain yield of early rice in the Poyang Lake Region. At the same time, an experimental control group (CK) was set up with no sediment, no flooding, or no drainage treatment. The results showed that the flag leaf area of S1F1D2 treatment was diminished by flooding. The relative chlorophyll content (SPAD) reached its lowest value prior to drainage. The treatment of S2F2D1 showed the greatest decrease in SPAD value of 41.57%, which was only 53.88% of that of the control treatment. The activity of superoxide dismutase (SOD), peroxidase (POD), and the content of malondialdehyde (MDA) were observed to increase during the flooding period in comparison to the control treatment. The maximum values for these parameters were recorded at 5.68, 3.09, and 1.9 times higher than those of the control treatment, respectively. However, a decrease was observed after drainage. Furthermore, the occurrence of flooding during the early rice heading–flowering stage resulted in a notable reduction in the grain number per spike and the fruiting rate, consequently leading to a considerable decline in grain yields, with a decrease ranging from 31.81% to 69.96%. The findings indicate that flooding during the heading–flowering stage resulted in a reduction in early rice grain yield yet enhanced the antioxidant capacity of the leaves. Regression analyses indicated that a prediction model for the actual yield after flooding stress at the heading–flowering stage of early rice could be constructed using SFW as the independent variable. The findings of this study provide a theoretical basis for the formulation of a scientific and reasonable drainage scheme with the objective of reducing yield loss following rice flooding in the southern rice-growing region of China.

Mechanical Properties, Corrosion Damage Evolution Laws, and Durability Deterioration Indicators of High-Performance Concrete Exposed to Saline Soil Environment for 8 Years

Most of the current studies rely on simulated brine corrosion environments and lack long-term investigations into concrete corrosion damage evolution under actual corrosive conditions. In this paper, high-performance concrete (HPC) with various mix ratios is designed in the context of the Qinghai Salt Lake region in China, and the evolution of corrosion damage of HPC with different water–binder ratios (W/B) and different fly ash (FA) admixtures under long-term field exposure conditions is obtained by testing the ultrasonic velocity and strengths of the HPC in the field exposure of the HPC in the Qinghai Salt Lake region. The results show that the corrosion resistance of HPC is related to its water–binder ratio and mineral admixture type and dosage under the exposure of 8 years in Qinghai Salt Lake area. HPC with a fly ash dosage of 15–35% and silica fume dosage of 10% exhibits better corrosion resistance when the water–binder ratio (W/B) is between 0.24 and 0.38. The dependence relationship between the corrosion resistance coefficient of HPC and the relative dynamic elastic modulus (Erd) and 28 d standard maintenance strength was also established. The Erd of HPC with a corrosion resistance coefficient of 0.80 or above was 0.73–0.93, not 0.60, which provides an important experimental basis for determining the corrosion damage index of HPC in the high-saline brine environment of the salt lake.

Effectiveness of agricultural BMPs on phosphorus load reduction for the Canadian Lake Erie basin: A literature review

Lake Erie, the shallowest and warmest of the Great Lakes, has been increasingly threatened by eutrophication and harmful algal blooms affecting economic growth in the region. Excess nutrients, particularly phosphorus, transported with agricultural runoffs have become a major issue of lake water quality. In response to this growing concern over the adverse environmental effects of agriculture, farmers, conservation authorities and governments have worked together to promote and implement best or beneficial management practices (BMPs) in the contributing watersheds that focus on maintaining agricultural activity and farm profitability while protecting the environment. This paper conducted a technical review of BMPs and their effectiveness on phosphorus load reduction from agricultural fields for the Canadian Lake Erie Basin (CLEB). These BMPs include cover crop, conservation tillage, manure incorporation, crop nutrient planning, fragile land retirement, adding organic amendments, reducing soil compaction, controlled tile drain, grassed waterway, vegetative filter strip, riparian buffer, water and sediment control basin, and wetland restoration. Field experiments and modeling studies about BMP effectiveness on phosphorus load reduction from agricultural fields in the CLEB and the Great Lakes region were reviewed and assessed. Findings from other similar geographic regions were also documented for comparison and reference. Because BMPs are site-specific, their phosphorus load reduction effectiveness varied over a wide range in the literature depending upon characteristics of the BMP and local climate, slope, soil type, land use, and land management conditions. Based on the literature review, factors influencing BMP effectiveness were analyzed, and suggestions on research priorities for evaluating BMP effectiveness in the CLEB were provided. This study will benefit decision-makers, watershed conservation authorities, and other stakeholders in estimating phosphorus load reductions from agricultural landscapes and contribute to tracking progress toward achieving Canada’s phosphorus load reduction targets for Lake Erie.

Assessing the potential economic impacts of spotted lanternfly (Hemiptera: Fulgoridae) infestations on grape production in New York State

Abstract Lycorma delicatula, known as the spotted lanternfly, an insect native to Asia, feeds on a broad range of plant species in the United States, including tree of heaven, black walnut, silver and red maple, and grapes. As of early 2024, grape growers in New York State have not reported spotted lanternfly-related issues. In contrast, growers in Pennsylvania experienced significant losses during the early years of infestation, with some vineyards replanting due to vine death caused by spotted lanternfly. Over time, Pennsylvania growers developed management strategies, but the threat remains significant. We hypothesize that New York grape growers, informed by the economic impacts faced by Pennsylvania growers, will adopt a risk-averse approach and will be better prepared to combat spotted lanternfly. This manuscript examines spotted lanternfly biology, life stages, and host plants while estimating potential economic impacts to inform growers, stakeholders, and policymakers about the potential economic losses in New York grape production. If left uncontrolled or if growers are uninformed and unprepared, economic losses in the Lake Erie and Finger Lakes regions could escalate significantly, reaching up to $1.5, $4, and $8.8 million in the first, second, and third years of infestation, respectively. These figures underscore the critical importance of proactive management and preparedness measures to mitigate the impact of spotted lanternfly infestations on agricultural economies. We also discuss the implication of these findings in management and regulatory efforts. Future research should focus on establishing the appropriate economic thresholds and conducting cost–benefit analyses of various pest control measures in grape production in New York.

Multiple Environmental Variables as Covariates to Improve the Accuracy of Spatial Prediction Models for SOM on Karst Aera

ABSTRACTAims accurately predicting the spatial distribution of soil organic matter (SOM) is essential for environmental management and carbon storage estimation. However, the diversity of sources of variables poses a challenge in studying the spatial distribution of SOM. Methods in order to address this issue, we propose leveraging multiple environmental variables and employing machine learning models, specifically Lightweight gradient boosting machine learning (LightGBM) and random forest (RF), for predicting SOM spatial distribution. 128 soil samples were collected from the Caohai National Nature Reserve, and their SOM content was measured. Results the study found that the average SOM content was 36.75 g/kg. Compared to traditional linear regression models such as ordinary kriging (OK), ordinary least squares (OLS), and geographically weighted regression (GWR), the machine learning models based on nonlinear regression, LightGBM and RF, demonstrated higher cross‐validated coefficients of determination (R2) of 0.62 and 0.60, respectively, outperforming the other models. Additionally, RF exhibited lower mean absolute error (MAE) and root mean square error (RMSE), indicating higher stability and generalization capability. The spatial distribution of SOM among the models showed consistency, with higher SOM content observed in southern and near‐Caohai Lake regions and lower SOM content in northern and farther regions from Caohai Lake. Results from the Shapley additive explanations (SHAP) model highlighted agricultural land (AL), pH, and Elevation (ELV) as primary covariates influencing SOM spatial distribution. Conclusions this study provides valuable insights and support for environmental management and carbon storage estimation in the karst plateau region.

Broussonetia papyrifera Extract Can Be Used as a Raw Material Source for a Sterility Agent for Microtus fortis.

Plant sterilants are used to control rodent populations due to their minimal environmental risk and other ethical considerations. However, their practical utilization is unsatisfactory due to high costs and processing difficulties. Broussonetia papyrifera is a plant material that has shown the potential to inhibit the reproduction of Microtus fortis, a species that causes serious damage to crops in the Dongting Lake region in China. M. fortis was treated with different doses of B. papyrifera leaf methanol extracts. The results show that the growth of sex organs was inhibited, and the males' testosterone levels and sperm quality were reduced. Though there were some positive effects on females, the reproductive parameters of coupled voles were inferior; the most treated couple exhibited an increased reproductive time, fetal counts, and reduced weight. It was also found that M. fortis responded negatively to the extract after a single treatment or long-term repeated treatment compared to a short-term repeated treatment. B. papyrifera leaves showed a higher application potential as a sterilant for male rodents. These findings enrich the study of plant sterilants and provide insights into the utilization of B. papyrifera and the management of rodents. Owing to the effectiveness and accessibility of the leaves, the derived sterilant may be more economical for controlling rodent pests.

Deciphering Groundwater-Surface water Interactions using Environmental Tracers in a Tropical Lake, Southwest India

This study focuses on identifying GW-SW interaction locations in a tropical lake - Vellayani Lake (VL), Southwest India, utilizing stable water isotopes (s18O, sD) and chloride mass balance approach. The northern lake region was identified as a critical groundwater discharge “hotspot” with pronounced discharge (2.14×106 - 3.82×106 m³/yr), prompting targeted management interventions. This reaffirms the critical role of groundwater inflow in sustaining the lake’s water balance. Additionally, the application of machine learning (ML) techniques refined the classification of Lacustrine Groundwater Discharge (LGD) and non-LGD sites while predictive modeling utilizing Sensitivity Indices enhanced the understanding of prominent factors influencing lake volume. K-means clustering and Random Forest (RF) classification, achieved high accuracy (90%) and a kappa value of 0.8 in distinguishing groundwater discharge and non-discharge sites. Predictive modeling and sensitivity analysis revealed precipitation as the most influential factor, with a ±20% change causing a 16.69% variation in lake volume. Groundwater discharge exhibited a sensitivity index of 0.5320, further emphasizing its critical role in maintaining lake hydrological balance. This integrated approach provided valuable insights into the critical role of nearshore groundwater recharge in maintaining lake hydrological balance and facilitates the identification of suitable areas for groundwater recharge structures. For practitioners and policymakers, this integrated approach offers a robust framework for identifying critical GW-SW interaction zones, prioritizing groundwater recharge areas, and designing sustainable water management strategies, especially in data-scarce regions, paving the way for improved resource management in similar tropical lake environments.

Revealing nitrate sources seasonal difference between groundwater and surface water in China's largest fresh water lake (Poyang Lake): Insights from sources proportion, dynamic evolution and driving forces.

Tracing the source of nitrate is the key path to solve the problem of nitrogen pollution. However, the seasonal difference of nitrate sources in groundwater and surface water and its dynamic evolution process and mechanism in large fresh water lake area are still not clear. In this study, 126 water samples were collected from groundwater and surface water in China's largest fresh water lake (Poyang Lake) region from 2022 to 2023. Bayesian stable isotope mixing model, absolute principal component score-multiple linear regression, ion ratio coefficients and uncertainty index (UI90) were used to investigate the nitrate sources variation in groundwater and surface water as well as its uncertainty in Poyang Lake area. Results showed that anthropogenic influence had significant influence on nitrate sources, which was mainly affected by chemical fertilizer (CF), soil nitrogen (SN) and manure and sewage input (M&S). Specifically, from 2022 to 2023, CF contributed 16.6% to 32.4%, SN contributed 26.0% to 38.1%, M&S contributed 26.5% to 48.2% to groundwater. CF contributed 38.8% to 43.9%, SN contributed 37.6% to 40.6%, M&S contributed 12.3% to 18.6% to surface water. The sources and proportion of nitrate in groundwater and surface water exhibited obvious difference. Temporal heterogeneity, land use type, population density and vegetation cover type had influence on nitrate sources. UI90 results showed that there was uncertainty in nitrate sources tracing process, with SN (mean 0.78), CF (mean 0.64), M&S (mean 0.35) and AD (mean 0.09), respectively. These results will provide vital references for understanding nitrate sources variation, controlling and removing nitrate surplus in groundwater-surface water system in the similar large fresh water lake areas.

Effects of wastewater on phosphorus, nitrogen, and nuisance benthic algae in nearshore regions of a large lake.

Upgrading wastewater treatment plants (WWTPs) is a global practice for achieving increasingly stringent nutrient discharge objectives set by governments to accommodate population growth and reduce surface water pollution. However, associated downstream improvements in nutrient conditions are difficult to determine in nearshore regions of large aquatic ecosystems due to complex biophysical processes. We conducted a nine-year water quality study and analyzed the data using linear mixed models (LMMs) within a Before-After-Control-Impact (BACI) framework to assess effects of an upgrade to the Duffin Creek Water Pollution Control Plant (DCWPCP) on surface water nutrient conditions and proliferation of nuisance benthic algae (Cladophora glomerata) in nearshore Lake Ontario. The DCWPCP upgrade resulted in increased effluent concentrations and loads of nitrite+nitrate (NO2+3) due to enhanced nitrification, while reducing total Kjeldahl nitrogen and ammonia+ammonium (NH3+4). However, total phosphorus (TP) in effluent only changed slightly due to operational constraints during plant upgrade. For nearshore nutrient conditions, our LMM-BACI framework revealed that, after upgrade, NH3+4 decreased at impact site relative to control sites. In contrast, following upgrade, an observed decline in NO2+3 concentrations was less pronounced at impact site compared to control sites, suggesting increased NO2+3 inputs into nearshore surface water from the DCWPCP. We could not detect obvious improvement in nearshore TP concentrations, stoichiometric ratios of total inorganic nitrogen to TP and NO2+3 to TP, or phosphorus tissue content of Cladophora, likely due to the only slight reduction in TP from the DCWPCP. Overall, our findings showed that the DCWPCP upgrade increased NO2+3 inputs, which could have important implications for nutrient management and trade-offs associated with WWTP upgrades that reduce one chemical species at the expense of another. Other researchers may find our LMM-BACI framework useful to detect localized impacts of nutrient inputs in nearshore and coastal areas where multiple physical and climate drivers influence water quality.

Balanced hydropower and ecological benefits in reservoir-river-lake system: An integrated framework with machine learning and game theory.

The negative impacts of large hydroelectric reservoirs on downstream ecosystems have attracted worldwide attention. Few attempts have been made to dynamically predict ecological benefits and rationally negotiation in the reservoir-river-lake (RRL) system. This study addresses these gaps by developing an integrated framework with machine learning and game theory to balanced hydropower and ecological benefits. The proposed framework integrated the RRL system simulation with a bargaining model, utilizing a machine learning model to forecast lake levels and the equivalent factor method to assess downstream ecosystem service values (ESV). The study evaluated the framework's generalizability and accuracy by applying random and actual runoff series within the Three Gorges Reservoir to the Dongting Lake region. The 2022 mega-drought case study revealed that the Nash equilibrium operation could simultaneously enhance hydropower generation (7.55%) and ecological benefits (20.00%). Notably, ESV improvements of 61.58% during the post-flood season and 36.07% during the dry season underscored the framework's effectiveness in elevating the ecological benefits. The comparison with traditional multi-objective optimization showed that the proposed framework provided reliable and acceptable solutions for decision-makers. The dynamic weight change elucidates the intricate interactions between economic and ecological benefits, enabling a nuanced adjustment of the single weights in the traditional framework. In addition to enhancing the theoretical framework, the Nash equilibrium solutions also showed positive effects on the carbon cycle, plant growth, and animal habitats in Dongting Lake, further highlighting the practical significance. This research offers a practical management tool for reconciling the conflict in an RRL integrated system, providing theoretical and practical insights into sustainable environment and ecosystem management.

Climate change driven land use evolution and soil heavy metal release effects in lakes on the Qinghai Tibet Plateau.

In recent decades, global warming has intensified hydrological cycles, raising concerns about the impacts of climate change on hydrological processes, water quality, and water resources across various temporal and spatial scales. These changes significantly affect water resource management and environmental protection policies and may also influence the ecological health and socio-economic well-being of lake regions. Qinghai Lake, the largest inland lake and a major water source reservoir in China, plays a crucial role in the ecological security of the Qinghai-Tibet Plateau. However, in recent years, with the ongoing development of the economy and society throughout the province, there has been an increase in algal blooms in the nearshore area of Qinghai Lake, with the affected area expanding annually. There is currently no clear consensus on the causes of eutrophication in lakes, and comprehensive, in-depth research on how different land use types-critical to the material migration and transformation processes of natural water bodies-affects water quality and ecological security, as well as the interactions between nutrients and heavy metals, is lacking. Therefore, it is essential to monitor and understand the effects of climate change on lakes and to develop adaptive strategies to mitigate and respond to these impacts amidst rapid economic and social development. The lake environmental pollution early warning system developed in this study provides a scientific research paradigm for lake water pollution control and offers valuable data support for policymakers in formulating ecological protection and development strategies.

Reconciliation without the gospel, a city without a horizon

The Great Lakes region of Africa has gone through long years of incessant wars. This situation has created divisive conflicts between its sons and daughters. Now, enormous efforts are being made here and there for a probable reconciliation. The goal of reconciliation is a future aspiration, an important element to aim for, perhaps even an ideal city to hope for in the Great Lakes region of Africa torn apart by conflicts of all kinds. This new city – a reconciled city, a peaceful and pacifying city – is only possible if the people of the Great Lakes agree to move from a divided past to a shared future. This article endeavored to prove the fact that reconciliation involves a whole process of which forgiveness is one of the fundamental elements such as truth and justice. Finally, the kind of reconciliation that wants to achieve its goal needs to begin with reconciliation with God and has to find its foundations in the Bible.

Multilingualism at the Crossroads of Africa: A Response to Commentaries on “Remaking Late Holocene Environment of Western Uganda: Kansyore and Later Settlers in the Ndali Crater Lakes Region”

Multilingualism at the Crossroads of Africa: A Response to Commentaries on “Remaking Late Holocene Environment of Western Uganda: Kansyore and Later Settlers in the Ndali Crater Lakes Region”

An Appraisal of Institutional Framework for Guaranteeing Mine-Host Communities Right to Food in the ICGLR Sub-Region: Part II

Absence of strong institutions worth to realize good governance in the mineral sector and protection of human rights seem a challenge that face not only natural resources-rich developing states but also sub-regional initiatives. Strong institutions are said to depict features such as; independency, relevant infrastructure, relevant expertise and command of political support from the state(s) and or other organs. The International Conference on the Great Lakes Region (ICGLR) sub-region has in place numerous regulatory organs with mandate over good governance in mineral sector and human rights preservation. Unlike other sub-regions in Africa, ICGLR is naturally endowed with plenty natural resources with regional and global value against the global threat of climate change. This paper, through qualitative review of primary and secondary documents namely; protocols, conventions, declarations, pacts, journal articles, books and internet sources examines how strong are the ICGLR institutions towards guaranteeing MHCs right to food. The study found that, despite of the established institutions at the ICGLR sub-regional level, they fall short of the international standards of robust institutions. Such institutions suffer from both legal and practical challenges namely; inadequate independency, inadequate human resources, little or no political will and feeble infrastructure. If the ICGLR sub-region intends to guarantee MHCs right to food, it may not escape eradicating the noted legal and practical challenges of established institutions.

Determining the most suitable empirical model for global solar radiation prediction in the lakes region

In this study, it was aimed to determine the most suitable model for predicting global solar radiation in the Lakes Region (Isparta, Burdur, Antalya). Through ATATEK-Solar software, a total of 15 models were tested, including 14 empirical models from the literature and a new artificial intelligence-supported model. Each model was analyzed with three different optimization algorithms (Nelder-Mead Simplex, Pattern Search, Simulated Annealing). In province-based evaluations, the Model 9 (RMSE: 0.1507, R²: 0.9990) for Isparta, and the Model 14 for Burdur and Antalya (RMSE: 0.1940, R²: 0.9992 and RMSE: 0.2218, R²: 0.9987, respectively) provided the most successful results. In regional analysis results, while the Model 5 (RMSE: 0.2626, R²: 0.9980) gave the lowest average error, the Model 13 (RMSE: 0.2649, R²: 0.9979, standard deviation: 0.0122) showed the highest consistency. These models were followed by the Model 6 (RMSE: 0.2646, R²: 0.9979, standard deviation: 0.0444). Although the Model 15 gave the best results in Burdur and Antalya, it had a high standard deviation value (0.2201) due to its low performance in Isparta. The characteristic features of the Lakes Region, including the presence of lake ecosystems, elevation differences, and the resulting microclimatic diversity, necessitate a regional approach in predicting global solar radiation. In this context, the Model 13 has been determined as the most suitable model that can be used throughout the region with its low error rate and high consistency. The obtained results can provide reliable predictions in evaluating the solar energy potential of the region and designing solar energy systems.