scholarly journals Local people’s perception and awareness of climate change: a case study from community forests in Lamjung District, Western Nepal

2018 ◽  
Vol 28 (2) ◽  
pp. 60-71 ◽  
Author(s):  
N. Dhungana ◽  
N. Silwal ◽  
S. Upadhaya ◽  
S. K. Regmi ◽  
S. Adhikari
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Group Discussion ◽  
Computer Software ◽  
Annual Rainfall ◽  
Maximum Temperature ◽  
Climatic Data ◽  
Community Forest ◽  
Community Forests ◽  
Perceived Change

Climate change has negatively impacted the underdeveloped and developing countries including Nepal due to low adaptive capacity and higher dependency in agriculture. Forests are important component of the lives and livelihoods of the community in Nepal, which can offer an important source of climate-resilient livelihood. It is crucial to know the fact that climate change was in the past, which will continue to change in the future. It is essential to understand how communities perceive and adapt to climate change. A study was carried out in Kirepani, Jagreni and Kalika Community Forest User Groups (CFUGs) in Lamjung District with an objective of assessing their perceptions on impacts of climate change. The survey was carried out in 62 households along with participatory appraisal to understand the perception of local people on climate change and its impacts. Focus group discussion was held in each CFUG. Climatic data of 29 years (1987–2015) acquired from Khudi, Kuncha and Gharedgunga metereological stations and analysed to supplement the results. Data were analysed using MS-Excel as major computer software and presented as table, trend lines and graphs. The study showed that the locals correctly perceived change in temperature, unpredictable occurrence of rainfall and increased incidence of change in crops phenology, an increase in drought. Based on the perceptions of the community forest users, climate change has affected the biodiversity and societal system differentially. Drought has higher impact to the people affecting their lives and livelihoods. They perceived that the increase in drought, floods, landslide have affected their lives and livelihoods. The results revealed that minimum temperature was increased at the rate of 0.01º C per year whereas the maximum temperature was increased by 0.056° C per year. From the rainfall data of Khudi meteorological station, it was found that annual rainfall was highly decreased at the rate of 25.8 mm per year, which alarms for more disaster such as drought and fire in the area. Our findings suggest that for the innovative climate change adaptation planning and policy it is crucial to incorporate and acknowledge the role of community forest in climate change adaptation.

scholarly journals Farmers’ perception on climate change and ecological hazards in Riu and Rapti waterbasin, Chitwan, Nepal

2018 ◽  
Vol 18 ◽  
pp. 59-66
Author(s):  
H.P. Regmi ◽  
P.P. Regmi ◽  
J.P. Dutta ◽  
D.R. Dangol
Keyword(s):  
Climate Change ◽  
Late Onset ◽  
Group Discussion ◽  
Secondary Data ◽  
Water Source ◽  
Annual Rainfall ◽  
Climatic Data ◽  
Adaptation Mechanism ◽  
Water Basin ◽  
Ecological Hazards

A survey research was done to study the farmers’ perception on climate change and ecological hazards in Riu and Rapti water basin, Chitwan, Nepal. Altogether 120 households, 60 from each water basin in Riu and Rapti were selected randomly for the study. Pre-tested interview, direct observation, focus group discussion as well as secondary data from Department of Hydrology and Meteorology (DHM), Kathmandu were used to collect the required information. Majority of the farmers’ perceived the change in climatic condition in their locality in terms of increase in hotter days, decrease in colder days, variability in the number of rainy days, decrease in rainfall duration, increase in amount and intensity of rainfall, late onset and shift of usual monsoon pattern, prolonged occurrences of dry spells, decrease water level in the river as compared to the past decades. Farmers prioritized the floods/riverbank cutting (61.7%) and drought (63.4%) hazards for obtaining immediate solution/adaptation strategies in Riu water basin; and for drought (60%) and loss of wetland and declining water source (45%) in Rapti water basin. Analysis of the climatic data (last 42 years for rainfall and last 30 years for temperature) showed the increasing trend of annual rainfall (6.83 mm per year) and those of both maximum and minimum temperature (0.019°C per year and 0.069°C per year, respectively). These analyses strongly support the farmers’ perception about the climate change and for which immediately effective adaptation mechanism is required.

scholarly journals Recent trends and impacts of climate change in North-Eastern region of India-A review

2021 ◽  
Vol 42 (6) ◽  
pp. 1415-1424
Author(s):  
A. Roy ◽  
◽  
D. Kolady ◽  
B. Paudel ◽  
A. Yumnam ◽  
...  
Keyword(s):  
Climate Change ◽  
Natural Disasters ◽  
Geographical Area ◽  
Annual Rainfall ◽  
Maximum Temperature ◽  
Eastern Region ◽  
Climatic Data ◽  
Eastern India ◽  
North Eastern ◽  
North Eastern India

The economy of North-Eastern (NE) region of India predominantly depends on farming, where only 12% of geographical area is available for cultivation out of which more than 85% is rain fed. Climate change has become a major concern in agriculture today, as farmers in many regions are struggling to cope with changing temperatures and rainfall pattern. Moreover, extreme weather situations like droughts, floods, heat and cold waves pose serious threat to food security, especially for small and marginal farmers. This review paper discusses the climate change in North-Eastern India based on the available climatic data from various published sources. Most of the analysis was performed on time series meteorological data recorded at different locations across the states of North-Eastern India namely, Assam, Arunachal Pradesh, Sikkim, Nagaland, Meghalaya, Manipur, Mizoram and Tripura. The increase in mean annual maximum temperature varied from 0.1°C per decade in Imphal (Manipur) to about 1.4°C per decade in Jharnapani (Nagaland). The changes were significant for all the states, except Sikkim. This region is one of the highest rainfall receiving regions of the world, but during February-March it faces water scarcity. The rainfall is projected to increase in 57 districts out of 78 districts, with some districts expected to experience almost 25% more rainfall than usual. The North-Eastern region of India has experienced notable changes in the pattern of major climatic variables such as rainfall and temperature. Average temperatures are projected to increase in almost all the districts of the region while annual rainfall is also reported to increase in almost 3/4th of the districts. The climate-induced natural disasters like drought, flood and hailstorms are the major threats of climate change and the incidence of these natural disasters are increasing in the recent years over the region.

NDVI dynamics as reflected in climatic variables: spatial and temporal trends – a case study of Hungary

2019 ◽  
Vol 56 (4) ◽  
pp. 624-644 ◽  
Author(s):  
Szabó ◽  
Elemér ◽  
Kovács ◽  
Püspöki ◽  
Kertész ◽  
...  
Keyword(s):  
Climate Change ◽  
Time Series ◽  
Local Level ◽  
Temporal Trends ◽  
Maximum Temperature ◽  
Time Range ◽  
Climatic Data ◽  
Spatial Pattern Analysis ◽  
Short Period ◽  
Temporal Variance

Understanding climate change and revealing its future paths on a local level is a great challenge for the future. Beside the expanding sets of available climatic data, satellite images provide a valuable source of information. In our study we aimed to reveal whether satellite data are an appropriate way to identify global trends, given their shorter available time range. We used the CARPATCLIM (CC) database (1961–2010) and the MODIS NDVI images (2000–2016) and evaluated the time period covered by both (2000–2010). We performed a regression analysis between the NDVI and CC variables, and a time series analysis for the 1961–2008 and 2000–2008 periods at all data points. The results justified the belief that maximum temperature (TMAX), potential evapotranspiration and aridity all have a strong correlation with the NDVI; furthermore, the short period trend of TMAX can be described with a functional connection with its long period trend. Consequently, TMAX is an appropriate tool as an explanatory variable for NDVI spatial and temporal variance. Spatial pattern analysis revealed that with regression coefficients, macro-regions reflected topography (plains, hills and mountains), while in the case of time series regression slopes, it justified a decreasing trend from western areas (Transdanubia) to eastern ones (The Great Hungarian Plain). This is an important consideration for future agricultural and land use planning; i.e. that western areas have to allow for greater effects of climate change.

scholarly journals Modeling and Analysis of Barriers to Climate Change Adaptation in Tehran

Climate ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 104
Author(s):  
Behnam Ghasemzadeh ◽  
Ayyoob Sharifi
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Structural Equation ◽  
Group Discussion ◽  
Climate Change Impacts ◽  
Equation Modeling ◽  
Interpretive Structural Modeling ◽  
Adaptation Measures ◽  
Modeling And Analysis ◽  
Management Plans

Since the impacts of climate change will last for many years, adaptation to this phenomenon should be prioritized in urban management plans. Although Tehran, the capital of Iran, has been subject to a variety of climate change impacts in recent years, appropriate adaptation measures to address them are yet to be taken. This study primarily aims to categorize the barriers to climate change adaptation in Tehran and analyze the way they interact with each other. The study was done in three steps: first, the focus group discussion (FGD) method was used to identify the barriers; next, the survey and the structural equation modeling (SEM) were used to validate the barriers, identify their importance, and examine their possible inter-relationships; and finally, the interpretive structural modeling (ISM) was applied to categorize and visualize the relationships between the barriers. Results show that barriers related to the ‘structure and culture of research’, ‘laws and regulations’, and ‘planning’ belong to the cluster of independent barriers and are of greater significance. The ‘social’ barrier and barriers related to ‘resources and resource management’ are identified as dependent barriers and are of lesser importance. Barriers related to ‘governance’, ‘awareness’, ‘education and knowledge’, ‘communication and interaction’, and ‘economy’ are identified at the intermediate cluster. The findings of this study can provide planners and decision makers with invaluable insights as to how to develop strategies for climate change adaptation in Tehran. Despite the scope of the study being confined to Tehran, its implications go far beyond this metropolis.

scholarly journals Analyses of temperature and precipitation in the Indian Jammu and Kashmir region for the 1980–2016 period: implications for remote influence and extreme events

2019 ◽  
Vol 19 (1) ◽  
pp. 15-37 ◽  
Author(s):  
Sumira Nazir Zaz ◽  
Shakil Ahmad Romshoo ◽  
Ramkumar Thokuluwa Krishnamoorthy ◽  
Yesubabu Viswanadhapalli
Keyword(s):  
Climate Change ◽  
Statistical Tests ◽  
Wrf Model ◽  
Annual Rainfall ◽  
Maximum Temperature ◽  
Seasonal Temperature ◽  
Western Himalayas ◽  
Jammu And Kashmir ◽  
Temperature And Precipitation ◽  
Average Annual Temperature

Abstract. The local weather and climate of the Himalayas are sensitive and interlinked with global-scale changes in climate, as the hydrology of this region is mainly governed by snow and glaciers. There are clear and strong indicators of climate change reported for the Himalayas, particularly the Jammu and Kashmir region situated in the western Himalayas. In this study, using observational data, detailed characteristics of long- and short-term as well as localized variations in temperature and precipitation are analyzed for these six meteorological stations, namely, Gulmarg, Pahalgam, Kokarnag, Qazigund, Kupwara and Srinagar during 1980–2016. All of these stations are located in Jammu and Kashmir, India. In addition to analysis of stations observations, we also utilized the dynamical downscaled simulations of WRF model and ERA-Interim (ERA-I) data for the study period. The annual and seasonal temperature and precipitation changes were analyzed by carrying out Mann–Kendall, linear regression, cumulative deviation and Student's t statistical tests. The results show an increase of 0.8 ∘C in average annual temperature over 37 years (from 1980 to 2016) with higher increase in maximum temperature (0.97 ∘C) compared to minimum temperature (0.76 ∘C). Analyses of annual mean temperature at all the stations reveal that the high-altitude stations of Pahalgam (1.13 ∘C) and Gulmarg (1.04 ∘C) exhibit a steep increase and statistically significant trends. The overall precipitation and temperature patterns in the valley show significant decreases and increases in the annual rainfall and temperature respectively. Seasonal analyses show significant increasing trends in the winter and spring temperatures at all stations, with prominent decreases in spring precipitation. In the present study, the observed long-term trends in temperature (∘Cyear-1) and precipitation (mm year−1) along with their respective standard errors during 1980–2016 are as follows: (i) 0.05 (0.01) and −16.7 (6.3) for Gulmarg, (ii) 0.04 (0.01) and −6.6 (2.9) for Srinagar, (iii) 0.04 (0.01) and −0.69 (4.79) for Kokarnag, (iv) 0.04 (0.01) and −0.13 (3.95) for Pahalgam, (v) 0.034 (0.01) and −5.5 (3.6) for Kupwara, and (vi) 0.01 (0.01) and −7.96 (4.5) for Qazigund. The present study also reveals that variation in temperature and precipitation during winter (December–March) has a close association with the North Atlantic Oscillation (NAO). Further, the observed temperature data (monthly averaged data for 1980–2016) at all the stations show a good correlation of 0.86 with the results of WRF and therefore the model downscaled simulations are considered a valid scientific tool for the studies of climate change in this region. Though the correlation between WRF model and observed precipitation is significantly strong, the WRF model significantly underestimates the rainfall amount, which necessitates the need for the sensitivity study of the model using the various microphysical parameterization schemes. The potential vorticities in the upper troposphere are obtained from ERA-I over the Jammu and Kashmir region and indicate that the extreme weather event of September 2014 occurred due to breaking of intense atmospheric Rossby wave activity over Kashmir. As the wave could transport a large amount of water vapor from both the Bay of Bengal and Arabian Sea and dump them over the Kashmir region through wave breaking, it probably resulted in the historical devastating flooding of the whole Kashmir valley in the first week of September 2014. This was accompanied by extreme rainfall events measuring more than 620 mm in some parts of the Pir Panjal range in the south Kashmir.

scholarly journals Assessing vulnerability and adaptation strategies of forest dependent people to climate change in the Mid-hills of Nepal

2015 ◽  
Vol 25 (1) ◽  
pp. 55-62
Author(s):  
K. Acharya ◽  
K. R. Tiwari ◽  
Y. P. Timilsina ◽  
S PC
Keyword(s):  
Climate Change ◽  
New Technologies ◽  
Group Discussion ◽  
Climate Change Impacts ◽  
Household Survey ◽  
Adaptation Strategies ◽  
Primary Data ◽  
Annual Rainfall ◽  
Cropping Pattern ◽  
Rural People

Climate change is now recognized as one of the most serious challenges facing the world– its people, the environment and its economies. Rural people are more vulnerable to the effects of climate change due to its high dependence on climate-sensitive sectors like glaciers, agriculture and forestry, and its low financial adaptive capacity. This study was carried out with the aim of assessing and documenting vulnerability and adaptation strategies of forest-dependent people to climate change effects in Mid-hills of Nepal. Primary data were collected from household survey, interview with key informants, and focused group discussion. The results showed that the average annual rainfall was decreasing at the rate of 18.02 mm whereas the average annual mean temperature was increasing at the rate of 0.07°c per year. The major climatic hazards, of the study area, identified were long drought and landslide. The chi-square test shows that the poor forest-dependent people are more vulnerable to long drought, landslide and floods as compared to the rich rural people. Indigenous adaptation practices such as cultivation of vegetables and other crops that are less susceptible to droughts, and rearing of hybrid-varieties of livestock are mostly used to cope with climate change impacts. The results indicate that 15% of the respondents have changed their cropping pattern from paddy to off-seasonal vegetables crops because of more income from vegetable farming. Raising awareness and sharing information as well as increasing income from farming among the locals by applying new technologies should be done in order to build their capacity to cope with climate change impact.Banko Janakari, A Journal of Forestry Information for NepalVol. 25, No. 1Page: 55-62

scholarly journals Future Impact of Climate Change on the Yield of Cocoa in Ondo State, Nigeria

2019 ◽  
pp. 467-476
Author(s):  
Femi S. Omotayo ◽  
Philip G. Oguntunde ◽  
Ayorinde A. Olufayo
Keyword(s):  
Climate Change ◽  
Climatic Variables ◽  
Annual Rainfall ◽  
Maximum Temperature ◽  
Impact Of Climate Change ◽  
Projected Change ◽  
The Future ◽  
Ondo State ◽  
The Impact ◽  
Cocoa Yield

This study was carried to determine the trend of cocoa yield and climatic variables and assessment of the impact of climate change on the future yield of cocoa in Ondo State, Nigeria. Annual trend statistics for cocoa yield and climatic variables were analyzed for the state using Mann-Kendall test for trend and Sen’s slope estimates. Downscaled data from six Global Circulation Models (GCMs) were used to examine the impact of climate change on the future yield of cocoa in the study area. The results of trends analysis in Ondo State showed that yield decreased monotonically at the rate of 492.18 tonnes/yr (P<0.05). An increased significant trend was established in annual rainfall trend. While Maximum temperature, minimum temperature, and mean temperature all increased at the rate of 0.02/yr (P<0.001). The ensemble of all the GCMs projected a mid-term future decrease of about 9,334 tonnes/yr by 2050 and a long-term future decrease of 13,504 tonnes/yr of cocoa by 2100. The economic implication of these is that, if the projected change in the yield of cocoa as predicted by the ensemble of all the GCMs should hold for the future, it means that Ondo state may experience a loss of about $22,470,018.22 and $32,308,584.32 by the year 2050 and 2100 respectively according to the present price of the commodity in the world market. Measures are to be taken by the government and farmers to find a way of mitigating the impacts of climate change on the future yield of the cocoa study area. This research should be extended to other cocoa producing areas in Nigeria.

scholarly journals Simulating the Impact of Climate Change on Maize Productivity in Trans-gangetic Plains using Info Crop Model

2020 ◽  
Author(s):  
Baljeet Kaur ◽  
Som Pal Singh ◽  
P.K. Kingra
Keyword(s):  
Climate Change ◽  
Maize Yield ◽  
Maximum Temperature ◽  
Climatic Data ◽  
Data Set ◽  
Gangetic Plains ◽  
Impact Of Climate Change ◽  
Model Average ◽  
In Trans ◽  
The Impact

Background: Climate change is a nonpareil threat to the food security of hundred millions of people who depends on agriculture for their livelihood. A change in climate affects agricultural production as climate and agriculture are intensely interrelated global processes. Global warming is one of such changes which is projected to have significant impacts on environment affecting agriculture. Agriculture is the mainstay economy in trans-gangetic plains of India and maize is the third most important crop after wheat and rice. Heat stress in maize cause several changes viz. morphological, anatomical and physiological and biochemical changes. Methods: In this study during 2014-2018, impact of climate change on maize yield in future scenarios was simulated using the InfoCrop model. Average maize yield from 2001-15 was collected for Punjab, Haryana and Delhi to calibrate and validate the model. Future climatic data set from 2020 to 2050 was used in the study to analyse the trends in climatic parameters.Result: Analysis of future data revealed increasing trends in maximum temperature and minimum temperature. Rainfall would likely follow the erratic behaviour in Punjab, Haryana and Delhi. Increase in temperature was predicted to have negative impact on maize yield under future climatic scenario.

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