scholarly journals Climate Change and Nutrition Security in Nigeria

2020 ◽  
Vol 24 (11) ◽  
pp. 1853-1860
Author(s):  
MO Ifeanacho ◽  
HO Okudu

Climate change is a global reality and a major concern of many countries of the world. Its average impacts are the same globally but with some regional peculiarities. This paper reviewed the global events of climate change and its reality in Nigeria. It observed that the world’s climatic elements have been undergoing changing pattern for a long period. Its reality in Nigeria was seen in changing rain pattern, relative humidity, atmospheric temperature, rising sea level, coastal flooding, erosion, desertification and drought among other indicators of climate change. These events were viewed vis-à-vis their impacts on nutrition security. The paper related these events to such drivers of food insecurity as food shortages; increase in crop and animal diseases; shortage of portable water; poor sanitation; loss of rural livelihood and different forms of pollution-related diseases. Measures were suggested for integration into government programmes and policy that will help in mitigating and adapting to the impact of climate change on nutrition security Keywords: Climate change, nutrition security, mitigating, adapting, Nigeria

2021 ◽  
Vol 7 (4) ◽  
pp. 19-27
Author(s):  
Saifuddin Soz ◽  
Dhananjay Mankar

Climate change is already bringing tremendous influence on people’s lives, particularly the underprivileged. It’s already visible in a variety of ways. In recent decades, Asia and the Pacific have seen consistent warming trends as well as more frequent and powerful extreme weather events such as droughts, cyclones, floods, and hailstorms. This study was done in Ajmer District of Rajasthan, to find out the climate variation in the last 10 years. The study describes the effects due to climate change on the livelihoods of the people, so a descriptive research design was used for the study to find out the impact of climate change on rural livelihood in central Rajasthan. The study is based on a large representative of sample, quantitative data was collected to gain an idea of the impact on the livelihoods due to climate change at the household level. It shows the negative impact of climate change on rural livelihood which forced the people to change their livelihood directly or indirectly. It was found that climate change had an impact on people’s lives and people do understand the variation in climate change in terms of changes in the weather, unseasonal rain, and drought.


Author(s):  
Rajesh Bajpai ◽  
Manoj Semwal ◽  
C. P. Singh

The lichens are one of the most sensitive organism in nature among the different elements of biodiversity and can be affected more due to climate change. Lichens fulfil their water need from rain, fog and dew present in the atmosphere. The change in atmospheric temperature influence, to a greater extent, the thallus temperature and physiology of lichens which leads to emergence of new ecotype and finally the shift in a species. The impact of climatic factors on lichens ecophysiology, is different from higher plantsis due to the poikilohydric nature. The lichen bioindicator communities have been shown to exhibit correlation with climatic factors of an area. The changes in lichen biomass, frequency, diversity and indicatorcommunity indices, indicate changes in environmental gradients (temperature, humidity and UV radiation). A number of techniques regarding study the environmental and climatic change are available. However, the present correspondence hypothesized about some easy and low cost techniques to monitor climate change utilizing lichens. The overview will also leads to assess patterns of lichens responses with species representation and towards its understanding the current and future changes in climate of an area.


2011 ◽  
Vol 11 (3) ◽  
pp. 9705-9742
Author(s):  
A. M. Aghedo ◽  
K. W. Bowman ◽  
D. T. Shindell ◽  
G. Faluvegi

Abstract. Ensemble climate model simulations used for the Intergovernmental Panel on Climate Change (IPCC) assessments have become important tools for exploring the response of the Earth System to changes in anthropogenic and natural forcings. The systematic evaluation of these models through global satellite observations is a critical step in assessing the uncertainty of climate change projections. This paper presents the technical steps required for using nadir sun-synchronous infrared satellite observations for multi-model evaluation and the uncertainties associated with each step. This is motivated by need to use satellite observations to evaluate climate models. We quantified the implications of the effect of satellite orbit and spatial coverage, the effect of variations in vertical sensitivity as quantified by the observation operator and the impact of averaging the operators for use with monthly-mean model output. We calculated these biases in ozone, carbon monoxide, atmospheric temperature and water vapour by using the output from two global chemistry climate models (ECHAM5-MOZ and GISS-PUCCINI) and the observations from the Tropospheric Emission Spectrometer (TES) satellite from January 2005 to December 2008. The results show that sampling and monthly averaging of the observation operators produce biases of less than ±3% for ozone and carbon monoxide throughout the entire troposphere in both models. Water vapour sampling biases were also within the insignificant range of ±3% (that is ±0.14 g kg−1) in both models. Sampling led to a temperature bias of ±0.3 K over the tropical and mid-latitudes in both models, and up to −1.4 K over the boundary layer in the higher latitudes. Using the monthly average of temperature and water vapour operators lead to large biases over the boundary layer in the southern-hemispheric higher latitudes and in the upper troposphere, respectively. Up to 8% bias was calculated in the upper troposphere water vapour due to monthly-mean operators, which may impact the detection of water vapour feedback in response to global warming. Our results reveal the importance of using the averaging kernel and the a priori profiles to account for the limited vertical resolution of a nadir observation during model application. Neglecting the observation operators resulted in large biases, which are more than 60% for ozone, ±30% for carbon monoxide, and range between −1.5 K and 5 K for atmospheric temperature, and between −60% and 100% for water vapour.


2021 ◽  
Vol 9 (9) ◽  
pp. 1008 ◽  
Author(s):  
Achilleas Samaras ◽  
Theophanis Karambas

In the present work, the impact of climate change on coastal flooding is investigated through a set of interoperable models developed by the authors, following a modular modelling approach and adapting the modelling sequence to two separate objectives with respect to inundation over large-scale areas and coastal protection structures’ design. The modelling toolbox used includes a large-scale wave propagation model, a storm-induced circulation model, and an advanced nearshore wave propagation model based on the higher order Boussinesq-type equations, all of which are presented in detail. Model capabilities are validated and applications are made for projected scenarios of climate change-induced wave and storm surge events, simulating coastal flooding over the low-lying areas of a semi-enclosed bay and testing the effects of different structures on a typical sandy beach (both in northern Greece). This work is among the few in relevant literature that incorporate a fully non-linear wave model to a modelling system aimed at representing coastal flooding. Results highlight the capabilities of the presented modelling approach and set the basis for a comprehensive evaluation of the use of advanced modelling tools for the design of coastal protection and adaptation measures against future climatic pressures.


2020 ◽  
pp. 53-63
Author(s):  
F Stuart Chapin

Rapid climate change affects both nature and society. This chapter describes actions that people can take to understand and minimize climate change. Rising concentrations of carbon dioxide from burning of fossil fuels account for about two-thirds of the energy imbalance that causes Earth’s climate to warm. People born this century will probably experience more climate warming during their lifetimes than has been seen by all of humanity since the beginning of major human civilizations. Climate warming causes increased flooding in wet climates and more frequent droughts and wildfires in dry climates. Rising sea level and more frequent intense storms contribute to more coastal flooding. Climate warming can be slowed by reducing fossil-fuel emissions and by protecting and restoring forests and wetlands. Discussions with others can increase society’s awareness of climate change. More than 9,000 communities around the world have already developed climate action plans to reduce rates of climate warming.


2011 ◽  
Vol 11 (13) ◽  
pp. 6493-6514 ◽  
Author(s):  
A. M. Aghedo ◽  
K. W. Bowman ◽  
D. T. Shindell ◽  
G. Faluvegi

Abstract. Ensemble climate model simulations used for the Intergovernmental Panel on Climate Change (IPCC) assessments have become important tools for exploring the response of the Earth System to changes in anthropogenic and natural forcings. The systematic evaluation of these models through global satellite observations is a critical step in assessing the uncertainty of climate change projections. This paper presents the technical steps required for using nadir sun-synchronous infrared satellite observations for multi-model evaluation and the uncertainties associated with each step. This is motivated by need to use satellite observations to evaluate climate models. We quantified the implications of the effect of satellite orbit and spatial coverage, the effect of variations in vertical sensitivity as quantified by the observation operator and the impact of averaging the operators for use with monthly-mean model output. We calculated these biases in ozone, carbon monoxide, atmospheric temperature and water vapour by using the output from two global chemistry climate models (ECHAM5-MOZ and GISS-PUCCINI) and the observations from the Tropospheric Emission Spectrometer (TES) instrument on board the NASA-Aura satellite from January 2005 to December 2008. The results show that sampling and monthly averaging of the observation operators produce zonal-mean biases of less than ±3 % for ozone and carbon monoxide throughout the entire troposphere in both models. Water vapour sampling zonal-mean biases were also within the insignificant range of ±3 % (that is ±0.14 g kg−1) in both models. Sampling led to a temperature zonal-mean bias of ±0.3 K over the tropical and mid-latitudes in both models, and up to −1.4 K over the boundary layer in the higher latitudes. Using the monthly average of temperature and water vapour operators lead to large biases over the boundary layer in the southern-hemispheric higher latitudes and in the upper troposphere, respectively. Up to 8 % bias was calculated in the upper troposphere water vapour due to monthly-mean operators, which may impact the detection of water vapour feedback in response to global warming. Our results reveal the importance of using the averaging kernel and the a priori profiles to account for the limited vertical resolution and clouds of a nadir observation during model application. Neglecting the observation operators resulted in large biases, which are more than 60 % for ozone, ±30 % for carbon monoxide, and range between −1.5 K and 5 K for atmospheric temperature, and between −60 % and 100 % for water vapour.


2021 ◽  
Vol 4 (4) ◽  
pp. 43-60
Author(s):  
Mahakata I. ◽  
Mapaure I.

This study aimed at examining local ranger-based knowledge and perceptions on explaining contributing factors to variations on elephant fluctuations seasonally and over a long period in Sengwa Wildlife Research Area following a massive decline of elephants by nearly 76% after the 2014 National Aerial Survey done in Sebungwe Region, Zimbabwe. Data were collected between 1st and 20th August 2020 using a purposive sampling approach administered to questionnaire to resident SWRA rangers (n = 25). Our results show that rangers considered a combination of factors that may have affected elephant fluctuations in SWRA including poaching, migration, settlement and impact of climate change. However, our results suggest that rangers had inadequate knowledge about elephant migration destinations. Moreover, mixed perceptions about the impact of trophy hunting, poaching and climate change-induced factors were recorded from the participants. The results contribute to a growing understanding of poaching, climate change, trophy hunting and human settlement on elephant behaviour. The study recommends improvement in elephant monitoring through investments in elephant collars and radio tracking to better understand elephant daily and seasonal dispersal movements.


2019 ◽  
Vol 3 (2) ◽  
pp. 142-160
Author(s):  
Ratu Gita Narnina W ◽  
Arie Afriansyah

AbstractBaseline is a line drawn from the coastal configuration features, which is very important because the drawing of a baseline allows a coastal State to claim its own maritime zone as measured from said line. However, this concept of baseline currently faced new phenomena called the sea-level rise caused by the climate change. Climate change is caused by the accumulation of greenhouse gas emissions in the atmosphere and causing the earth's surface temperature and sea surface temperatures to increase causing the melting of ice and glaciers. Based on survey data Fifth Assessment Report conducted by the Intergovernmental Panel on Climate Change (IPCC), it is said that in 2100 the rise of sea water will reach 0.52m to 0.98m. In this regard, the rise of seawater brings a legal implication of the possibility in a shift of the baseline due to the inundation of the coastline used as a place to draw the baseline itself, resulting in the possibility of States losing juridical claims in its maritime zone. Coastal States must now begin to have awareness regarding the impacts caused by rising sea level in order to anticipate and reduce the impact of rising sea level. Keywords: Baseline, Climate Change, Maritime Zone, Rising-Sea Level.   AbstrakGaris pangkal merupakan garis yang ditarik dari fitur-fitur konfigurasi pantai yang sangat penting karena penarikan garis pangkal memungkinkan suatu negara untuk mengklaim zona maritim miliknya, diukur dari garis tersebut. Akan tetapi, garis pangkal ini kini menghadapi kendala yaitu fenomena kenaikan air laut yang disebabkan oleh perubahan iklim. Perubahan iklim disebabkan karena menumpuknya gas emisi rumah kaca dan menyebabkan suhu permukaan bumi dan suhu permukaan air laut meningkat sehingga menyebabkan mencairnya es dan gletser di bumi. Dari kejadian tersebut lahirlah fenomena yang dinamakan kenaikan air laut. Berdasarkan data dari survei yang dilakukan oleh Intergovernmental Panel on Climate Change (IPCC) dalam Fifth Assessment Report, dikatakan bahwa pada tahun 2100 kenaikan air laut akan mencapai 0,52m hingga 0,98m. Dalam hal ini, kenaikan air laut akan membawa implikasi hukum terkait kemungkinan adanya pergeseran pada garis pangkal dikarenakan tergenangnya wilayah garis pantai yang digunakan sebagai tempat untuk menarik garis pangkal, sehingga besar kemungkinan terjadinya hilangnya klaim yuridis pada zona maritim tertentu. Negara-negara pantai sekarang sudah harus menyadari dampak yang disebabkan oleh kenaikan air laut ini sehingga kemudian dapat mengantisipasi dampak dari kenaikan air laut. Kata Kunci: Garis Pangkal, Kenaikan Air Laut, Perubahan Iklim, Zona Maritim.


Author(s):  
Tai-Wen Hsu ◽  
Dong-Sin Shih ◽  
Chi-Yu Li ◽  
Yuan-Jyh Lan ◽  
Yu-Chen Lin

This study integrated coastal-watershed models and combined a risk assessment method to develop a methodology to investigate the impact resulting from coastal disasters under climate change. The mid-western coast of Taiwan suffering from land subsidence was selected as the demonstrative area for the vulnerability analysis based on prediction of sea level rise (SLR), wave run-up, overtopping, and coastal flooding under the scenarios of 2020 to 2039. Database from tidal gauges and satellite images were used to analyze sea level rise using EEMD (Ensemble Empirical Mode Decomposition). Extreme wave condition and storm surge were estimated by numerical simulation using WWM (Wind Wave Model) and POM (Princeton Ocean Model). Coastal inundation was then simulated via WASH123D watershed model. The risk map of study areas based on the analyses of vulnerability and disaster were established using the AHP (Analytic Hierarchy Process) technique. Predictions of sea level rise, the maximum wave condition and storm surge under the scenarios of 2020 to 2039 are presented. The results indicate that the sea level at the mid-western coast of Taiwan will rise in an average of 5.8 cm, equivalent to a rising velocity of 2.8 mm/year. The analysis indicates that Wuqi, Lukang, Mailiao, and Taixi townships are susceptive, low resistant and low resilient, and reaches the high risk level. The assessment provides that important information for making adaption policy in the mid-western coast of Taiwan.


Author(s):  
William George Bennett ◽  
Harshinie Karunarathna

Purpose Coastal flooding has disastrous consequences on people, infrastructure, properties and the environment. Increasing flood risk as a result of global climate change is a significant concern both within the UK and globally. To counter any potential increase in future flooding, a range of potential management options are being considered. This study aims to explore future coastal management practice for flood alleviation, incorporating the influence of climate change. Design/methodology/approach The Taf estuary in South West Wales, a macro-tidal estuary which has a history of coastal flooding, was chosen as the case study in this paper to investigate the impact of coastal management interventions such as construction of hard defences, managed realignment or altering land use of affiliated ecosystems such as salt marshes on the complex hydrodynamics and hence flooding of the surrounding areas of the estuary. The study was carried out using a numerical hydrodynamic model of the Taf estuary, developed using the process-based Delft3D modelling software. Findings The role of the selected management interventions on coastal flooding was investigated using an extreme storm condition, both with and without the impact of future sea level rise. The results highlight the scale of the effect of sea level rise, with the selected management interventions revealing that minimising the increase in flooding in future requires careful consideration of the available options. Originality/value This paper explores the highlighted role of coastal management practice in future with the influence of climate change to study how effective alternative methods can be for flood alleviation.


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