The main purpose of this study was to estimate possible climate change effects on the annual streamflow of Filyos River (Turkey). Data for annual streamflow and climatic parameters were obtained from streamflow gauging stations on the river and Bartın, Karabük, Zonguldak meteorological observation stations. Time series analysis was performed on 46 years of annual streamflow data and 57 years of annual mean climatic data from three monitoring stations to understand the trends. Pettitt change-point analysis was applied to determine the change time and trend analysis was performed to forecast trends. To reveal the relationship between climatic parameters and streamflow, correlation tests, namely, Spearman's rho and Kendall's tau were applied. The results of Pettitt change-point analysis pointed to 2000 as the change year for streamflow. Change years for temperature and precipitation were detected as 1997 and 2000, respectively. Trend analysis results indicated decreasing trends in the streamflow and precipitation, and increasing trend in temperature. These changes were found statistically significant for streamflow (p < 0.05) and temperature (p < 0.01). Also, a statistically significant (p < 0.05) correlation was found between streamflow and precipitation. In conclusion, decreasing precipitation and increasing temperature as a result of climate change initiated a decrease in the river streamflow.

The population of Pinna nobilis (Linnaeus, 1758) has been severely damaged, especially by the effect of the disease, in addition to the causes such as fishing activities, overexploitation, environmental pollution, habitat degradation, tourism, and human impacts. Particularly, Haplosporidium pinnae caused gigantic destruction in the P. nobilis population. Accordingly, the present study aimed to determine the current status of the P. nobilis populations in the Çanakkale Strait. Samplings were carried out between July and August 2020 at 9 different stations in the Çanakkale Strait. The results revealed that mass mortality was observed at the two stations (Abide Beach and Kumkale Village Beach) located near the Aegean Sea. On the other hand, it has been determined that the lowest mortality rate (9.62%) has been found at Ilgardere station. Juvenile individuals have been observed in healthy and uninfected populations with high survival rates. This paper is the first document on the spatial distribution of P. nobilis in Çanakkale Strait. Therefore, the P. nobilis population should be continuously monitored to ensure the sustainability of the species.

Climate is a dynamic process changing in both temporal and spatial scales. Climate change and global warming has been extensively accepted and commonly described as rising of the temperature. Long-term trends and changes in the series of monthly, seasonal and annual temperature of Çanakkale station (Çanakkale, Turkey) of Turkish State Meteorological Service (TSMS) were analyzed by considering temporal characteristics. Climatic data for temperature encompasses the period of between 1970 and 2012. Temperature data set has been arranged as climatological seasons that spring (March, April, May), summer (June, July, August), autumn (September, October, November), and winter (December, January, February). Non-parametric tests and Box-Jenkins method were used to determine climatic trends. Pettitt change-point analysis was applied for determining the change point of temperature dataset. Results of trend analysis revealed that there was a statistically significant increasing trend in the temperature. Mean annual temperature is predicted to increase 0.02977°C per year and it is forecasted to reach 15.9946°C in 2022. On the other hand, mean seasonal temperatures are predicted to increase 0.0121°C, 0.05877°C, 0.0350°C, and 0.0031°C per year for spring, summer, autumn, and winter, respectively. The increase in temperature trends indicates that global warming is causing to climate change. In light of the results, it is crucial to state that Çanakkale city will be affected by global warming and climate change, and also will have a warmer climate in the future.

Climate change due to global warming have effects upon sustainable use of natural resources. Climatic parameters such as temperature, evaporation and precipitation obtained from 3 meteorological observation stations, and streamflow data of Kocabaş Stream were used to understand the effects of global warming on annual streamflow of Kocabaş Stream. Change years were determined and trend analysis was applied for climatic parameters and streamflow of the river. As specified in the results of analyses it could be enunciated that there was a visible increase in temperature and evaporation, and that there was a decrease in precipitation and annual streamflow of the river. Change year was determined as 1981 for streamflow of the river and trend analysis results showed that the streamflow has a decreasing trend and the annual amount of this decrease is predicted to be 0.025005 m³ s^-1. Trend analysis results for climatic parameters showed that there is a decreasing trend in precipitation and increasing trends in temperature and evaporation. The paper indicates that the effects of climate change on annual streamflow of the river could be variable and that many effects such as agricultural activities, anthropogenic effects, and geographical location should be considered in predicting of climate change effects on river systems.

Water is one of the most important natural resource and assessment of the trends in water has a great importance to estimate the future of water resources. The main purpose of this study is to present a trend analysis of the streamflow of Daday Stream in Kastamonu, Turkey by monthly, seasonal and annual analyses. Monthly streamflow data were obtained from streamflow gauging station on the stream between 1988 and 2007. Trends of monthly, seasonal and annual runoff of Daday Stream were analysed by Trend analysis, non-parametric Mann-Kendall and Spearman tests. The results showed that mean annual streamflow of Daday Stream has a significant tendency to decrease for this period (p<0.01). Seasonal trend analysis results demonstrated statistically significant decreasing trends were found for all seasons. Trend analyses for monthly displayed that there were also statistically significant decreasing trends for all month excluding February, March, April, and June. In conclusion, decreasing trends in the streamflow of Daday Stream have been predicted for this period and for the future. The fluctuation in water resources could be affected by some reasons such as decreasing rainfall, rising temperature depending upon climate change.