Sensitivity Analysis with Calibration of Natural Resource Variables under Climate Change

2017 ◽  
pp. 681-691
Author(s):  
Nilanjan Ghosh ◽  
Somnath Hazra

This chapter compares two quantitative frameworks, namely, Computable General Equilibrium (CGE) and Econometric models to study the impacts of climate change on human economy. However, as is inferred from this chapter, CGE framework is fraught with unrealistic assumptions, and fails to capture impacts of climate change and extreme events on the ecosystem services. On the other hand, econometric framework can be customised and is not based on the unrealistic assumptions like CGE. The various advantages and disadvantages of the two methods have been discussed critically in the process in this chapter in light of the avowed objective of understanding sustainability science.

Author(s):  
Nilanjan Ghosh ◽  
Somnath Hazra

This chapter compares two quantitative frameworks, namely, Computable General Equilibrium (CGE) and Econometric models to study the impacts of climate change on human economy. However, as is inferred from this chapter, CGE framework is fraught with unrealistic assumptions, and fails to capture impacts of climate change and extreme events on the ecosystem services. On the other hand, econometric framework can be customised and is not based on the unrealistic assumptions like CGE. The various advantages and disadvantages of the two methods have been discussed critically in the process in this chapter in light of the avowed objective of understanding sustainability science.


2011 ◽  
pp. 323-338 ◽  
Author(s):  
Joshua J. Lawler ◽  
Erik Nelson ◽  
Marc Conte ◽  
Sarah L. Shafer ◽  
Driss Ennaanay ◽  
...  

2017 ◽  
Vol 155 (8) ◽  
pp. 1203-1218 ◽  
Author(s):  
A. ALLBED ◽  
L. KUMAR ◽  
F. SHABANI

SUMMARYDate palm (Phoenix dactylifera L.) is an important cash crop in many countries, including Saudi Arabia. Understanding the likely potential distribution of this crop under current and future climate scenarios will enable environmental managers to prepare appropriate strategies to manage the changes. In the current study, the simulation model CLIMEX was used to develop a niche model to estimate the impacts of climate change on the current and future potential distribution of date palm. Two global climate models (GCMs), CSIRO-Mk3·0 and MIROC-H under the A2 emission scenario for 2050 and 2100, were used to assess the impacts of climate change. A sensitivity analysis was conducted to identify which model parameters had the most effect on date palm distribution. Further refinements of the potential distributions were performed through the integration of six non-climatic parameters in a geographic information system. Areas containing suitable soil taxonomy, soil texture, soil salinity, land use, landform and slopes of <7° for date palm were selected as suitable refining variables in order to achieve more realistic models. The results from both GCMs exhibited a significant reduction in climatic suitability for date palm cultivation in Saudi Arabia by 2100. Climate sensitivity analysis indicates that the lower optimal soil moisture, cold stress temperature threshold and wet stress threshold parameters had the most effect on sensitivity, while other parameters were moderately sensitive or insensitive to change. The study also demonstrated that the inclusion of non-climatic parameters with CLIMEX outputs increased the explanatory power of the models. Such models can provide early warning scenarios for how environmental managers should respond to changes in the distribution of the date palm in Saudi Arabia.


Author(s):  
Subhrendu K. Pattanayak ◽  
Martin T. Ross ◽  
Brooks M. Depro ◽  
Simone C. Bauch ◽  
Christopher Timmins ◽  
...  

Abstract Ecosystem services are public goods that frequently constitute the only source of capital for the poor, who lack political voice. As a result, provision of ecosystem services is sub-optimal and estimation of their values is complicated. We examine how econometric estimation can feed computable general equilibrium (CGE) modeling to estimate health-related ecosystem values. Against a back drop of climate change, we analyze the Brazilian policy to expand National Forests (FLONAS) by 50 million hectares. Because these major environmental changes can generate spillovers in other sectors, we develop and use a CGE model that focuses on land and labor markets. Compared to climate change and deforestation in the baseline, the FLONAS scenario suggests relatively small declines in GDP, output (including agriculture) and other macro indicators. Urban households will experience declines in their welfare because they own most of the capital and land, which allows them to capture most of the deforestation benefits. In contrast, even though rural households have fewer opportunities for subsistence agriculture and face additional competition with other rural agricultural workers for more limited employment, their welfare improves due to health benefits from conservation of nearby forests. The efficiency vs. equity tradeoffs implied by the FLONAS scenario suggests that health-related ecosystem services will be underprovided if the rural poor are politically weaker than the urban rich. In conclusion, we briefly discuss the pros and cons of the CGE strategy for valuing ecosystem-mediated health benefits and evaluating contemporary policies on climate change mitigation.


2020 ◽  
Author(s):  
Yvonne Jans ◽  
Werner von Bloh ◽  
Sibyll Schaphoff ◽  
Christoph Müller

Abstract. Being an extensively produced natural fiber on earth, cotton is of importance for economies. Although the plant is broadly adapted to varying environments, growth and irrigation water demand of cotton may be challenged by future climate change. To study the impacts of climate change on cotton productivity in different regions across the world and the irrigation water requirements related to it, we use the process-based, spatially detailed biosphere and hydrology model LPJmL. We find our modelled cotton yield levels in good agreement with reported values and simulated water consumption of cotton production similar to published estimates. Following the ISIMIP protocol, we employ an ensemble of five General Circulation Models under four Representative Concentration Pathways (RCPs) for the 2011–2099 period to simulate future cotton yields. We find that irrigated cotton production does not suffer from climate change if CO2 effects are considered, whereas rainfed production is more sensitive to varying climate conditions. Considering the overall effect of a changing climate and CO2 fertilization, cotton production on current cropland steadily increases for most of the RCPs. Starting from ~ 65 million tonnes in 2010, cotton production for RCP4.5 and RCP6.0 equates to 83 and 92 million tonnes at the end of the century, respectively. Under RCP8.5, simulated global cotton production raises by more than 50 % by 2099. Taking only climate change into account, projected cotton production considerably shrinks in most scenarios, by up to one-third or 43 million tonnes under RCP8.5. The simulation of future virtual water content (VWC) of cotton grown under elevated CO2 results for all scenarios in less VWC compared to ambient CO2 conditions. Under RCP6.0 and RCP8.5, VWC is notably decreased by more than 2000 m3 t−1 in areas where cotton is produced under purely rainfed conditions. By 2040, the average global VWC for cotton declines in all scenarios from currently 3300 to 3000 m3 t−1 and reduction continues by up to 30 % in 2100 under RCP8.5. While the VWC decreases by the CO2 effect, elevated temperature (and thus water stress) reverse the picture. Except for RCP2.6, the global VWC of cotton increase slightly but steadily under the other RCPs until mid century. RCP8.5 results in an average global VWC of more than 5000 m3 t−1 by end of the simulation period. Given the economic relevance of cotton production, climate change poses an additional stress and deserves special attention. Changes in VWC and water demands for cotton production are of special importance, as cotton production is known for its intense water consumption that led, e.g., to the loss of most of the Aral sea. The implications of climate impacts on cotton production on the one hand, and the impact of cotton production on water resources on the other hand illustrate the need to assess how future climate change may affect cotton production and its resource requirements. The inclusion of cotton in LPJmL allows for various large-scale studies to assess impacts of climate change on hydrological factors and the implications for agricultural production and carbon sequestration.


2021 ◽  
pp. 243-262
Author(s):  
Raquel Rey Mellado ◽  
María Teresa Franchini Alonso ◽  
Cristina del Pozo Sánchez

Cities will suffer the impacts of climate change in the next decades. These impacts will be different according to their geographical features, the distribution and number of green spaces, the characteristics of the exterior surfaces of their floors and the density of population, among other aspects. Given this situation, many cities have begun to adopt adaptation strategies to reduce their vulnerability to the adverse effects of the climate; among which Nature-Based Solutions (NBS) stand out, which respond to ecosystem services and climate challenges, and are classified from the main ecosystems in which they affect: water, vegetation and soil. Within this context, the interest of the SBN in the international field is analyzed and the adaptation measures included in urban strategies developed to respond to this task are reviewed. The review of interventions in cities of the Mediterranean area makes it possible to value the usefulness of the NBS for urban planning and design.


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