Our cities, most of which do not show planned development, are turning into ecosystems that threaten the living life of the natural and cultural environment as a result of many environmental problems such as increasing human and building density and incorrect land use. This negative situation has the opportunity to be resolved with urban planning in which the physical structure of the city is balanced and with landscape plans that will create open and green areas in the city that contribute positively to human and environmental health. The urban heat island effect, which has emerged as a result of intense urbanization in recent years, creates problems for city residents. Unfortunately, most cities in the world face this negative climate phenomenon. It becomes difficult to combat the heat island effect, especially in cities where construction density increases unconsciously. Ecological planning appears as a factor that will prevent these problems from turning into important environmental problems in the future. The most important component to be considered in ecological planning is climate. In this study, thermal comfort areas were tried to be determined along Dr Sami Yağız Street, which is one of the most frequently used areas of Niğde. Temperature and humidity measurements were taken at 25 points at equal intervals on both sides of the street. Measurements were made on different days of the week and at 4 different times during the day. The obtained values were transferred to ArcGIS 10.3 software and maps were produced. A universal linear extension system was used in the evaluation of climate data, and climate factors and bioclimatically suitable areas on the street were determined and evaluated in terms of comfort level. It has been determined that the humidity rate in the study area varies according to measurement hours, and there is no significant change in temperature.

In this study, it was aimed to determine the workable days in agriculture using meteorological parameters, and a databank was formed obtaining the inputs from all weather stations in Central Anatolia Region, which cover a 20-year period, from 1986 to 2006. Running a mathematical model in a computer software specifically designed for this purpose, the data of this databank were exploited to calculate the workable days on a land for soil treatment, crop care and harvest for any given region and to show these data with graphs on monthly or yearly basis. This software may help to use time more economically and reduce the system costs directly or indirectly. Moreover, the data collected are quite necessary to prepare some national or local charts and graphs related to the general distribution of various climate factors.

This paper provides a detailed overview of the current situation of the coffee sector in the Rwandan economy and identifies the possible challenges that the sector is currently facing. The study has identified the economic and the livelihood indicators for farmers who are engaged in coffee production and also gives the Rwandan coffee sector’ situation and its position in the global coffee market. Also, the research has found out that in Rwanda, nearly 500,000 farmers produce coffee along with other crops, notably beans, savory banana and corn and found out that in 2012, coffee accounted for almost 30 percent of Rwanda’s total export revenue. On the other hand, the study revealed that the sector throughout all the coffee production process, has undergone different challenges especially climate change as it is reported by the Ministry of Agriculture and Animal resources. A low yield was reported in 2007 and climate variability was quoted among the causes. Insufficient rainfall in the last three months of 2006 (the period of coffee flowering) proceeding the short dry season in the first two months of 2007 was recorded. The reduced rainfall was also poorly distributed across coffee growing regions in Rwanda. In addition, the research revealed that even though the area under coffee production is increasing, the coffee production is decreasing due to unexpected climate change and variability in current years and also the improper use of chemical fertilizers by coffee farmers is very critical. The study concluded that adding value to the coffee supply chain of Rwanda is adding direct economic benefits and important indirect social benefits to the lives of individuals and to the health of communities in Rwanda. Moreover, more effort should continue to raise the profile of the Rwandan coffee sector suggesting that proper use of chemical fertilizers, solid marketing channels and climate change adaptations measures would be the fair ways of making the sector more profitable and considering national targets to increase coffee export revenues, a few simple measures to improve the performance of the sector could have substantial effects on the country’s economic growth.

Climate Smart Agriculture (CSA) is an integrated approach that transforms the agri-food system and mitigates climate change. They connect the use of farming techniques in order to increase food productivity, Climate resilient practice, and decrease greenhouse gases. The main aim of this review is to demonstrate the typical interrelationship between climate and agriculture and get knowledge regarding this. In addition, focus on traditional agriculture along with its mitigating measures for climate agriculture. They approach collective development practices through the efforts of individuals in order to manage agriculture and the food system under climate change. Therefore, there is an increasing need for a strategic plan to balance agriculture and the food system.

Lentil crop has largely been affected by global climate changing, particularly, due to rainfall and temperature changing and variability. Hence, the experiment was conducted in Central Highlands of Ethiopia, namely Akaki, Chefe Donsa and Bishoftu Agricultural Research Centre, in the 2009 and 2010 cropping seasons to assess the genotypic variation of lentil for growth and yield performances. Five lentil genotypes viz. 87S-93549 X EL-103-16, 87S-93549 X EL-103-9-1, Alemaya X FLIP 88-41L-02-AK-14, Alemaya X FLIP 88-41L-02-AK-6 were arranged in randomized complete block design with four replications at all locations. The result of study revealed that the genotype 87S-93549 X EL-103-9-1 produced the highest seed yield of 1985.90 and 2500.00 kg ha-1 during 2009 and 2010 cropping seasons, respectively, at Akaki. On the other hand, the genotype Alemaya X FLIP 88-41L-02-AK-14 gave the highest seed yield (4189.1 kg ha-1) at Chefe Donsa in 2009 cropping season. The genotype X FLIP 88-41L-02-AK-14 was found to be the earliest in physiological maturity, accounting 128.75 days, and the genotype 87S-93549 X EL-103-9-1 had yield advantage of 27.6% over the local check at Chefe Donsa in the 2010 cropping season. Generally, all lentil genotypes were performed better at Chefe Donsa, followed by at Akaki and Bishoftu locations during both cropping seasons. Rainfall and temperature conditions have enormous influences on the growth and yields performances of lentil genotypes at all research locations. The study inspires other studies to be conducted on other factors than climate events thwarting the production of lentil crops in the study areas.