Impact of Climate Change on Tourism

2022 ◽  
pp. 1519-1534
Author(s):  
Samreen Siddiqui ◽  
Muhammad Imran

Climate change is an influencing phenomenon in present global perspective having a wide range of impacts at different levels within the society and industries. This chapter introduces the climate change basics and its major impacts on the global environment. Further, it describes the tourism industry and identifies its relationship with climate change. Scientists take different approaches to deal with climate indices and their application to identify the impact of climate change on the tourism industry. This chapter classifies the tourism industry into different industry type based on the regional characteristics links with the geographical locations. Climate effects have been discussed with different case studies and regions. Then the chapter has been concluded with the major overall impact of climate change in terms of temperature rise, sea level rise (SLR), change in precipitation and extreme events in some cases, on the tourism industry, and next steps to be taken towards sustainable tourism industry.

Author(s):  
Samreen Siddiqui ◽  
Muhammad Imran

Climate change is an influencing phenomenon in present global perspective having a wide range of impacts at different levels within the society and industries. This chapter introduces the climate change basics and its major impacts on the global environment. Further, it describes the tourism industry and identifies its relationship with climate change. Scientists take different approaches to deal with climate indices and their application to identify the impact of climate change on the tourism industry. This chapter classifies the tourism industry into different industry type based on the regional characteristics links with the geographical locations. Climate effects have been discussed with different case studies and regions. Then the chapter has been concluded with the major overall impact of climate change in terms of temperature rise, sea level rise (SLR), change in precipitation and extreme events in some cases, on the tourism industry, and next steps to be taken towards sustainable tourism industry.


2021 ◽  
Vol 38 (4) ◽  
pp. 1118-1124
Author(s):  
Sayed Mohibul HOSSEN ◽  
◽  
Mohd Tahir ISMAIL ◽  
Mosab I. TABASH ◽  
Suhaib ANAGREH ◽  
...  

In this study, we aim to highlight the impact of climate change as well as seasonality on tourist’s arrival in Bangladesh. The SANCOVA modeling framework modified by the ANCOVA model is used to examine the impact of climate change on tourists’ arrivals. The results show seasonality has a 91% effect on tourist’s arrival in Bangladesh. The maximum and minimum variation of climatic variables on tourists’ arrival in Bangladesh is rainfall and humidity, respectively. The winter and summer seasons have similar and more impact on tourist’s arrival in Bangladesh. Our findings indicate that the tourism industry of Bangladesh is more vulnerable to seasonal variation than the overall economy. The present study has significant implications for both policymakers and tourisms destination alike to plan for tourism in Bangladesh.


2021 ◽  
Vol 22 (2) ◽  
pp. 191-197
Author(s):  
K. PHILIP ◽  
S.S. ASHA DEVI ◽  
G.K. JHA ◽  
B.M.K. RAJU ◽  
B. SEN ◽  
...  

The impact of climate change on agriculture is well studied yet there is scope for improvement as crop specific and location specific impacts need to be assessed realistically to frame adaptation and mitigation strategies to lessen the adverse effects of climate change. Many researchers have tried to estimate potential impact of climate change on wheat yields using indirect crop simulation modeling techniques. Here, this study estimated the potential impact of climate change on wheat yields using a crop specific panel data set from 1981 to 2010,for six major wheat producing states. The study revealed that 1°C increase in average maximum temperature during the growing season reduces wheat yield by 3 percent. Major share of wheat growth and yield (79%) is attributed to increase in usage of physical inputs specifically fertilizers, machine labour and human labour. The estimated impact was lesser than previously reported studies due to the inclusion of wide range of short-term adaptation strategies to climate change. The results reiterate the necessity of including confluent factors like physical inputs while investigating the impact of climate factors on crop yields.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Bhabishya Khaniya ◽  
Miyuru B. Gunathilake ◽  
Upaka Rathnayake

The climate of Sri Lanka has been fluctuating at an alarming rate during the recent past. These changes are reported to have pronounced impacts on the livelihoods of the people in the country. Water is central to the sustainable functioning of ecosystems and wellbeing of mankind. It is evident that pronounced variations in the climate will negatively impact the availability and the quality of water resources. The ecosystem-based adaptation (EbA) approach has proved to be an effective strategy to address the impact of climate change on water resources in many parts of the world. The key aim of this paper is to elaborate the wide range of benefits received through implementation of EbAs in field level, watershed scale, and urban and coastal environments in the context of Sri Lanka. In addition, this paper discusses the benefits of utilizing EbA solutions over grey infrastructure-based solutions to address the issues related to water management. The wide range of benefits received through implementation of EbAs can be broadly classified into three categories: water supply regulation, water quality regulation, and moderation of extreme events. This paper recommends the utilization of EbAs over grey infrastructure-based solutions in adaptation to climate change in the water management sector for the developing region due its cost effectiveness, ecofriendliness, and multiple benefits received on long-term scales. The findings of this study will unequivocally contribute to filling existing knowledge and research gaps in the context of EbAs to future climate change in Sri Lanka. The suggestions and opinions of this study can be taken into account by decision makers and water resources planning agencies for future planning of actions related to climate change adaptation in Sri Lanka.


2020 ◽  
Author(s):  
Moonil Kim ◽  
Nick Strigul ◽  
Elena Rovenskaya ◽  
Florian Kraxner ◽  
Woo-Kyun Lee

<p>The velocity and impact of climate change on forest appear to be site, environment, and tree species-specific. The primary objective of this research is to assess the changes in productivity of major temperate tree species in South Korea using terrestrial inventory and satellite remote sensing data. The area covered by each tree species was further categorized into either lowland forest (LLF) or high mountain forest (HMF) and investigated. We used the repeated Korean national forest inventory (NFI) data to calculate a stand-level annual increment (SAI). We then compared the SAI, a ground-based productivity measure, to MODIS net primary productivity (NPP) as a measure of productivity based on satellite imagery. In addition, the growth index of each increment core, which eliminated the effect of tree age on radial growth, was derived as an indicator of the variation of productivity by tree species over the past four decades. Based on these steps, we understand the species- and elevation-dependent dynamics. The secondary objective is to predict the forest dynamics under climate change using the Perfect Plasticity Approximation with Simple Biogeochemistry (PPA-SiBGC) model. The PPA-SiBGC is an analytically tractable model of forest dynamics, defined in terms of parameters for individual trees, including allometry, growth, and mortality. We estimated these parameters for the major species by using NFI and increment core data. We predicted forest dynamics using the following time-series metrics: Net ecosystem exchange, aboveground biomass, belowground biomass, C, N, soil respiration, and relative abundance. We then focus on comparing the impact of climate change on LLF and HMF. The results of our study can be used to develop climate-smart forest management strategies to ensure that both LLF and HMF continue to be resilient and continue to provide a wide range of ecosystem services in the Eastern Asian region.</p>


Author(s):  
Roberto Roson ◽  
Martina Sartori

Purpose – This paper aims to present and discuss some quantitative results obtained in assessing the economic impact of variations in tourism flows, induced by climate change, for some Mediterranean countries. Design/methodology/approach – Estimates by a regional climate model are used to build a tourism climate index, which indicates the suitability of climate, in certain locations, for general outdoor activities. As climate change is expected to affect a number of variables like temperature, wind and precipitation, it will have consequences on the degree of attractiveness of touristic destinations. The authors estimate the macroeconomic consequences of changing tourism flows by means of a computable general equilibrium model. Findings – The authors found that more incoming tourists will increase income and welfare, but this phenomenon will also induce a change in the productive structure, with a decline in agriculture and manufacturing, partially compensated by an expansion of service industries. The authors found that, in most countries, the decline in agriculture entails a lower demand for water, counteracting the additional demand for water coming from tourists and bringing about a lower water consumption overall. Research limitations/implications – A great deal of uncertainty affects, in particular: estimates of future climate conditions, especially for variables different from temperature, the relationship between climate and tourist demand, and its interaction with socio-economic variables. This also depends on the reliability of the TCI index as an indicator of climate suitability for tourism, on its application to spatially and temporally aggregated data, on the degree of responsiveness of tourism demand to variations in the TCI. Furthermore, as the authors followed here a single region approach, the authors were not able to consider in the estimates the impact of climate change on the global tourism industry. Nonetheless, the authors believe that a quantitative analysis like the one presented here is not without scope. First, it provides an order of magnitude for the impact of climate change on tourism and the national economy. Second, it allows to assess systemic and second-order effects, which are especially relevant in this context and, moreover, appear to be sufficiently robust to alternative model specifications. In other words, the value added of this study does not lie in the specific figures obtained by numerical computations, but on the broader picture emerging from the overall exercise. Originality/value – To the authors' knowledge, this is the first study in which, by assessing higher tourism attractiveness into a general equilibrium framework, the effect described above is detected and highlighted.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Melese Genete Muluneh

AbstractClimate change is happening due to natural factors and human activities. It expressively alters biodiversity, agricultural production, and food security. Mainly, narrowly adapted and endemic species are under extinction. Accordingly, concerns over species extinction are warranted as it provides food for all life forms and primary health care for more than 60–80% of humans globally. Nevertheless, the impact of climate change on biodiversity and food security has been recognized, little is explored compared to the magnitude of the problem globally. Therefore, the objectives of this review are to identify, appraise, and synthesize the link between climate change, biodiversity, and food security. Data, climatic models, emission, migration, and extinction scenarios, and outputs from previous publications were used. Due to climate change, distributions of species have shifted to higher elevations at a median rate of 11.0 m and 16.9 km per decade to higher latitudes. Accordingly, extinction rates of 1103 species under migration scenarios, provide 21–23% with unlimited migration and 38–52% with no migration. When an environmental variation occurs on a timescale shorter than the life of the plant any response could be in terms of a plastic phenotype. However, phenotypic plasticity could buffer species against the long-term effects of climate change. Furthermore, climate change affects food security particularly in communities and locations that depend on rain-fed agriculture. Crops and plants have thresholds beyond which growth and yield are compromised. Accordingly, agricultural yields in Africa alone could be decline by more than 30% in 2050. Therefore, solving food shortages through bringing extra land into agriculture and exploiting new fish stocks is a costly solution, when protecting biodiversity is given priority. Therefore, mitigating food waste, compensating food-insecure people conserving biodiversity, effective use of genetic resources, and traditional ecological knowledge could decrease further biodiversity loss, and meet food security under climate change scenarios. However, achieving food security under such scenario requires strong policies, releasing high-yielding stress resistant varieties, developing climate resilient irrigation structures, and agriculture. Therefore, degraded land restoration, land use changes, use of bio-energy, sustainable forest management, and community based biodiversity conservation are recommended to mitigate climate change impacts.


2020 ◽  
Vol 12 (6) ◽  
pp. 2219 ◽  
Author(s):  
Yusuke Kitamura ◽  
Yuki Ichisugi ◽  
Selim Karkour ◽  
Norihiro Itsubo

The importance of the contribution of tourism to climate change has been noted by the United Nations World Tourism Organization (UNWTO). By combining a process-based life cycle assessment (LCA) and input–output analysis, several researchers have attempted to evaluate the impacts of the tourism industry, as well as its products and services. Indeed, the tourism sector has a wide range of industries, including travel and tours, transportation, accommodation, food and beverage, amusement, souvenirs, etc. However, the existing cases do not show a breakdown of the impact on climate change. In this paper, the carbon footprint (CFP) of the Japanese tourism industry was calculated based on tourist consumption, using the Japanese input–output table and the Japanese tourism industry. We demonstrate that the total emissions were approximately 136 million t-CO2 per year. The contribution ratio of each stage is as follows: Transport 56.3%, Souvenirs 23.2%, Petrol (direct emissions) 16.9%, Accommodation 9.8%, Food and Beverage 7.5%, and Activities 3.0%. Then, in the breakdown, the impacts are in the following order: Air transport 24.7%, Petrol (direct emissions) 16.9%, Accommodation 9.8%, Food and Beverage 7.5%, Petrol 6.1%, Textile products 5.3%, Food items 4.9%, Confectionery 4.8%, Rail transport 3.9%, Cosmetics 1.9%, and Footwear 1.8%. In addition to transportation, this research also highlights the contribution from souvenirs, accommodation, and food and beverages.


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