Sürdürülebilir Kalkınma Amaçları

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• MakaleYalnız künye2025/r/gumushane/11710
  Ecological footprint components and agricultural productivity: Insights from MENA countries

  Recepoğlu, Mürşit; Hayaloğlu, Pınar; Cakir, Sümeyra Cay; Artan, Seyfettin; Cakir, Mehmet Ali

  The surge in the global population over the past century has highlighted the importance of agricultural production, leading to many studies to boost productivity. Unlike previous studies that primarily explore agricultural productivity growth, this study investigates how the subcomponents of the ecological footprint affect agricultural productivity in MENA countries between 1992 and 2021, identifying which types of environmental pollution have the most significant impact. Driscoll and Kraay (1998) method results show that ecological footprint has a major negative impact on agricultural productivity. Similarly, all ecological footprint components have a negative impact on agricultural productivity. The forest footprint has the highest coefficient magnitude, followed by crop land footprint, carbon footprint, fishing grounds footprint and grazing land footprint. The results have been tested for robustness using the Half-Panel Jackknife test to avoid biased results, and parallel results have been obtained. Finally, the causality between agricultural productivity and explanatory variables has been tested using Dumitrescu and Hurlin (2012) panel causality test. The findings suggest that policymakers may find it more effective to eliminate pollution rather than using additional resources to increase agricultural productivity. This approach allows for the reallocation of resources used in agricultural production to other areas.

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• MakaleYalnız künye2024/r/gumushane/14022
  Remote sensing and monitoring of water resources: A comparative study of different indices and thresholding methods

  Günen, Mehmet Akif; Atasever, Umit Haluk

  Water resources are essential for the ecological system and the development of civilization. Water is imperative factor for health preservation and sustaining various human activities, including industrial production, agriculture, and daily life. Remote sensing provides a cost-effective and practical means to detect and monitor water bodies, offers valuable insights into the impact of climatic events on water structures, especially in coastal lake regions. The research primarily utilizes Landsat-9 OLI-2 satellite images to evaluate the effectiveness of various water indices (WRI, NWI, MNDWI, NDWI) in combination with global automatic thresholding methods (K-Means, Zhenzhou's, Adaptive, Intermodes, Prewitt and Mendelsohn's Minimum, Maximum Entropy, Median, Concavity, Percentile, Intermeans, Kittler and Illingworth's Minimum Error, Tsai's Moments, Otsu's, Huang's fuzzy, Triangle, Mean, IsoData, Li's). The study was carried out on Lake Nazik, Lake Iznik, and Lake Beyşehir, which have unique geographical characteristics, and examined the adaptability and robustness of the selected indices and thresholding methods. MNDWI consistently stands out as a robust index for water extraction, delivering accurate results across different thresholding methods in regions all three lakes. As a result of quite extensive analysis, it is obtained that MNDWI and NDWI are reliable choices for water feature extraction in various lake environments, but the specific index should consider the thresholding method and unique lake characteristics. The Minimum thresholding method stands out as the most effective thresholding technique, demonstrating impressive results across different lakes. Specifically, it achieved an average Peak Signal-to-Noise Ratio (PSNR) of 78.97 and Structural Similarity Index (SSIM) of 99.37 for Lake Nazik, 74.08 PSNR and 98.34 SSIM for Lake Iznik, and 63.96 PSNR and 93.61 SSIM for Lake Beyşehir.

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• MakaleYalnız künye2024/r/gumushane/11465
  Spatiotemporal analysis of transition probabilities of wet and dry days under SSPs scenarios in the semi-arid Susurluk Basin, Türkiye

  Şan, Murat; Nacar, Sinan; Kankal, Murat; Bayram, Adem

  Precipitation, especially in regions dominated by the Mediterranean climate, is one of the most critical parameters of the hydrological cycle and the environment affected by climate change. One the one hand, the transition probabilities of wet and dry days in precipitation occurrence are a relatively new topic, on the other hand these are essential in defining the regional climate. For the first time, spatiotemporal variations of transition probabilities of wet and dry days in the Susurluk Basin, northwestern Türkiye, dominated by a semi-arid Mediterranean climate and also having a mountain climate, were analyzed based on the observation (1979–2014) and future terms (2030–2059 as short and 2070–2099 as long), under four Shared Socioeconomic Pathways (SSPs) scenarios. To do this, statistical downscaling was performed for 14 general circulation models (GCMs) from the CMIP6. By applying an ensemble of four high-performing GCMs, four indices for transition probabilities of wet and dry, i.e., a dry day following a dry day (FDD), a wet day following a dry day (FDW), a dry day following a wet day (FWD), and a wet day following a wet day (FWW), were calculated, and their changes were determined statistically. Monotonic and partial trends of the indices were also analyzed. According to the results, the FDD will increase in water year and wet period and autumn in the future, especially for the long term, in the basin dominated by the FDD (75 % in water year). The risks are higher in the western part of the basin, where human activities are intense, as the FDD is higher in this part than other parts especially in summer (90–100 %) in SSP3-7.0 and SSP5-8.5 scenarios for the long term. So, the length of consecutive dry days in the wet period and water year will increase in the basin, thus increasing the likelihood of droughts. As for the intra-term trends, the FDD increases and the FWW decreases in the water year and seasons in SSP3-7.0 and SSP5-8.5, contrary to the observation term.

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