889 resultados para impact of climate change
Resumo:
This report provides an analysis and evaluation of the likely effects of climate change on the tourism sector in Montserrat. Clayton (2009) identifies three reasons why the Caribbean should be concerned about the potential effects of climate change on tourism: (a) the relatively high dependence on tourism as a source of foreign exchange and employment; (b) the intrinsic vulnerability of small islands and their infrastructure (e.g. hotels and resorts) to sea level rise and extreme climatic events (e.g. hurricanes and floods); and, (c) the high dependence of the regional tourist industry on carbon-based fuels (both to bring tourist to the region as well as to provide support services in the region). The effects of climate change are already being felt on the island. Between 1970 and 2009, there was a rise in the number of relatively hot days experienced on the island. Added to this, there was also a decline in mean precipitation over the period. Besides temperature, there is also the threat of wind speeds. Since the early 20th century, the number of hurricanes passing through the Caribbean has risen from about 5-6 per year to more than 25 in some years of the twenty-first century. In Montserrat, the estimated damage from four windstorms (including hurricanes) affecting the island was US$260 million or almost five times 2009 gross domestic product (GDP). Climate change is also likely to significantly affect coral reefs. Hoegh-Guldberg (2007) estimates that should current concentrations of carbon dioxide in the Earth’s atmosphere rise from 380ppm to 560ppm, decreases in coral calcification and growth by 40% are likely. The report attempted to quantify the likely effects of the changes in the climatic factors mentioned above. As it relates to temperature and other climatic variables, a tourism climatic index that captures the elements of climate that impact on a destination’s experience was constructed. The index was calculated using historical observations as well as those under two likely climate scenarios: A2 and B2. The results suggest that under both scenarios, the island’s key tourism climatic features will likely decline and therefore negatively impact on the destination experience of visitors. Including this tourism climatic index in a tourism demand model suggests that this would translate into losses of around 145% of GDP. As it relates to coral reefs, the value of the damage due to the loss of coral reefs was estimated at 7.6 times GDP, while the damage due to land loss for the tourism industry was 45% of GDP. The total cost of climate change for the tourism industry was therefore projected to be 9.6 times 2009 GDP over a 40-year horizon. Given the potential for significant damage to the industry, a large number of potential adaptation measures were considered. Out of these, a short-list of 9 potential options was selected using 10 evaluation criteria. These included: (a) Increasing recommended design wind speeds for new tourism-related structures; (b) Construction of water storage tanks; (c) Irrigation network that allows for the recycling of waste water; (d) Enhanced reef monitoring systems to provide early warning alerts of bleaching events; (e) Deployment of artificial reefs and fish-aggregating devices; (f) Developing national evacuation and rescue plans; (g) Introduction of alternative attractions; (h) Providing re-training for displaced tourism workers, and; (i) Revised policies related to financing national tourism offices to accommodate the new climatic realities Using cost-benefit analysis, three options were put forward as being financially viable and ready for immediate implementation: (a) Increase recommended design speeds for new tourism-related structures; (b) Enhance reef monitoring systems to provide early warning alerts of bleaching events, and; (c) Deploy artificial reefs or fish-aggregating devices. While these options had positive benefit cost ratios, other options were also recommended based on their non-tangible benefits: an irrigation network that allows for the recycling of waste water, development of national evacuation and rescue plans, providing retraining for displaced tourism workers and the revision of policies related to financing national tourism offices to accommodate the new climatic realities.
Resumo:
This report provides an analysis and evaluation of the likely effects of climate change on the tourism sector in Saint Lucia. Clayton (2009) identifies three reasons why the Caribbean should be concerned about the potential effects of climate change on tourism: (a) the relatively high dependence on tourism as a source of foreign exchange and employment; (b) the intrinsic vulnerability of small islands and their infrastructure (e.g. hotels and resorts) to sea level rise and extreme climatic events (e.g. hurricanes and floods); and, (c) the high dependence of the regional tourist industry on carbon-based fuels (both to bring tourist to the region as well as to provide support services in the region). The effects of climate change are already being felt on the island. Between 1970 and 2009 there was a rise in the number of relatively hot days experienced on the island. Added to this, there was also a decline in mean precipitation over the period. In addition to temperature, there is also the threat of increased wind speeds. Since the early twentieth century, the number of hurricanes passing through the Caribbean has risen from about 5-6 per year to more than 25 in some years of the twenty-first century. In Saint Lucia, the estimated damage from 12 windstorms (including hurricanes) affecting the island was US$1 billion or about 106% of 2009 GDP. Climate change is also likely to significantly affect coral reefs. Hoegh-Guldberg (2007) estimates that should current concentrations of carbon dioxide in the Earth’s atmosphere rise from 380ppm to 560ppm, decreases in coral calcification and growth by 40% are likely. This report attempted to quantify the likely effects of the changes in the climatic factors mentioned above on the economy of Saint Lucia. As it relates to temperature and other climatic variables, a tourism climatic index that captures the elements of climate that impact on a destination’s experience was constructed. The index was calculated using historical observations, as well as those under two, likely, Special Report on Emissions Scenarios (SRES) climate scenarios: A2 and B2.
Resumo:
In this study, an attempt is made to assess the economic impact of climate change on Aruba. This study has three main objectives. The first is to examine the factors that influence the demand and supply of tourism in Aruba. The second is to forecast the cost of climate change to the tourism sector until 2050 under the A2 and B2 climate scenarios with the Business as Usual (BAU) as a comparator climate scenario, and the third is to estimate the cost of adaptation and mitigation strategies that can be undertaken by Aruba to address climate change in the tourism sector.
Resumo:
In this study, an attempt is made to estimate the economic impact of climate change on the tourism sector in the (former) Netherlands Antilles. There are three main objectives in this study. The first is to examine the factors that influence the demand and supply of tourism in Netherlands Antilles. The second is to forecast the cost of climate change to the tourism sector until 2050 under the A2 and B2 climate scenarios with the (Business as Usual) as a comparator climate scenario, and the third is to estimate the cost of adaptation and mitigation strategies that can be undertaken by the tourism sector in the Netherlands Antilles to address climate change.
Resumo:
Between 2008 and 2011, the United Nations Economic Commission for Latin America and the Caribbean (ECLAC) worked on a project to assess the economic impact of climate change in the Caribbean. The overall aim is to prepare the Caribbean region to better respond to climate change, while fostering a regional approach to reducing carbon emissions by 2050. This study updates the report on the impact of climate change on the macroeconomy at the regional level and will focus on 9 countries: Aruba, the Bahamas, Barbados, Curacao, the Dominican Republic, Montserrat, Jamaica, Saint Lucia and Trinidad and Tobago.
Resumo:
This paper assesses the impact of climate change on China's agricultural production at a cross-provincial level using the Ricardian approach, incorporating a multilevel model with farm-level group data. The farm-level group data includes 13379 farm households, across 316 villages, distributed in 31 provinces. The empirical results show that, firstly, the marginal effects and elasticities of net crop revenue per hectare with respect to climate factors indicated that the annual impact of temperature on net crop revenue per hectare was positive, and the effect of increased precipitation was negative when looking at the national totals; secondly, the total impact of simulated climate change scenarios on net crop revenues per hectare at a Chinese national total level, was an increase of between 79 USD per hectare and 207 USD per hectare for the 2050s, and an increase from 140 USD per hectare to 355 USD per hectare for the 2080s. As a result, climate change may create a potential advantage for the development of Chinese agriculture, rather than a risk, especially for agriculture in the provinces of the Northeast, Northwest and North regions. However, the increased precipitation can lead to a loss of net crop revenue per hectare, especially for the provinces of the Southwest, Northwest, North and Northeast regions.
Resumo:
A climate envelope model was run on the distribution of four coniferous species (European silver fir, European larch, Norway spruce, and Swiss pine). The model was supported by EUFORGEN area database, ArcGIS 10 and PAST software, andREMO climate model. Prediction periods were 2011-40 and 2041-70.
Resumo:
The impact of climate change on the potential distribution of four Mediterranean pine species – Pinus brutia Ten., Pinus halepensis Mill., Pinus pinaster Aiton, and Pinus pinea L. – was studied by the Climate Envelope Model (CEM) to examine whether these species are suitable for the use as ornamental plants without frost protection in the Carpathian Basin. The model was supported by EUFORGEN digital area database (distribution maps), ESRI ArcGIS 10 software’s Spatial Analyst module (modeling environment), PAST (calibration of the model with statistical method), and REMO regional climate model (climatic data). The climate data were available in a 25 km resolution grid for the reference period (1961–1990) and two future periods (2011–2040, 2041–2070). The regional climate model was based on the IPCC SRES A1B scenario. While the potential distribution of P. brutia was not predicted to expand remarkably, an explicit shift of the distribution of the other three species was shown. Northwestern African distribution segments seem to become abandoned in the future. Current distribution of P. brutia may be highly endangered by the climate change. P. halepensis in the southern part and P. pinaster in the western part of the Carpathian Basin may find suitable climatic conditions in the period of 2041–2070.
Resumo:
We use at microregion level from the Brazilian Census years 1975, 1985, 1995 and 2006 to assess the impact of climate change on Brazilian agriculture using a Ricardian model. We estimate the Ricardian model using repeated cross sections for each Census Year, a pooled model and a twostage model based on Hsiao 2003. Results show that a marginal increase of temperature is harmful for agriculture in all regions of Brazil, with the exception of the South. The most negative impacts are felt in the North and in the North-East. There is mixed evidence on the effect of a marginal impact of precipitation. Additional rainfall is beneficial in South, South-East and in the Center-West. It is harmful in other regions. Impact estimates with three GCM scenarios generated using the A2 SRES emission scenario show that climate change is expected to be generally harmful in 2060. In 2100 only the climate change scenario generated by the Hadley HADCM3 model predicts negative impacts; the MIMR model predicts that climate change will not significantly affect land values while the NCPCM model predicts significant beneficial effects using the Hsiao model and nonsignificant beneficial effects using the pooled model. Among Brazilian regions, only the South and some cases the South-East are expected to benefit from climate change.