MODELING LAND USE AND THE EFFECTS OF CLIMATE CHANGE IN BRAZIL

This paper discusses the development of a computable general equilibrium (CGE) model with detailed specification for land use. The model considers two aspects of land use: land as a measure of production cost and land as a physical entity that can be used in a variety of ways. To analyze the economic effects of climate change, we integrated the CGE model and an econometric model. The results based on this model, which captures how land allocation responds to changes in temperature and precipitation, are introduced as elasticities in the CGE model to offset the demand curve for land among 13 different land uses in 27 regions of Brazil. The simulations are based on climate data from a benchmark period (1975–2005) and Intergovernmental Panel on Climate Change climate projection scenarios for the periods 2010–2039, 2040–2069, and 2070–2099. The results predict negative changes in real gross domestic product ranging from [Formula: see text]0.0054% to [Formula: see text]0.0198%, depending on the scenario.

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Climate change and the Ethiopian economy: a CGE analysis

Environment and Development Economics ◽

10.1017/s1355770x15000170 ◽

2015 ◽

Vol 21 (2) ◽

pp. 205-225 ◽

Cited By ~ 7

Author(s):

Zenebe Gebreegziabher ◽

Jesper Stage ◽

Alemu Mekonnen ◽

Atlaw Alemu

Keyword(s):

Climate Change ◽

Computable General Equilibrium ◽

Agricultural Production ◽

Cge Model ◽

Average Income ◽

Temperature And Precipitation ◽

Autonomous Adaptation ◽

Ricardian Model ◽

Adaptation Policies ◽

Impacts Of Climate Change

AbstractThe paper analyzes the economic impacts of climate change-induced fluctuations on the performance of Ethiopia's agriculture, using a countrywide computable general equilibrium (CGE) model. We model the impacts on agriculture using a Ricardian model, where current agricultural production is modelled as a function of temperature and precipitation, among other things, and where future agriculture is assumed to follow the same climate function. The effect of overall climate change is projected to be relatively benign until approximately 2030, but will become considerably worse thereafter. Our simulation results indicate that, over a 50-year period, the projected reduction in agricultural productivity may lead to reductions in average income of some 20 per cent compared with the outcome that would have prevailed in the absence of climate change. This indicates that adaptation policies – both government planned and those that ease autonomous adaptation by farmers – will be crucial for Ethiopia's future development.

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Advances in the data rescue and digitization of historical wind speed observations in Sweden: the WINDGUST project

10.5194/egusphere-egu21-5848 ◽

2021 ◽

Author(s):

Erik Engström ◽

Cesar Azorin-Molina ◽

Lennart Wern ◽

Sverker Hellström ◽

Christophe Sturm ◽

...

Keyword(s):

Climate Change ◽

Wind Speed ◽

Global Climate ◽

Current Status ◽

Weather Data ◽

Climate Data ◽

Intergovernmental Panel ◽

Staff Members ◽

The 1960S

Here we present the progress of the first work package (WP1) of the project &#8220;Assessing centennial wind speed variability from a historical weather data rescue project in Sweden&#8221; (WINDGUST), funded by FORMAS &#8211; A Swedish Research Council for Sustainable Development (ref. 2019-00509); previously introduced in EGU2019-17792-1 and EGU2020-3491. In a global climate change, one of the major uncertainties on the causes driving the climate variability of winds (i.e., the &#8220;stilling&#8221; phenomenon and the recent &#8220;recovery&#8221; since the 2010s) is mainly due to short availability (i.e., since the 1960s) and low quality of observed wind records as stated by the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC).The WINDGUST is a joint initiative between the Swedish Meteorological and Hydrological Institute (SMHI) and the University of Gothenburg aimed at filling the key gap of short availability and low quality of wind datasets, and improve the limited knowledge on the causes driving wind speed variability in a changing climate across Sweden.During 2020, we worked in WP1 to rescue historical wind speed series available in the old weather archives at SMHI for the 1920s-1930s. In the process we followed the &#8220;Guidelines on Best Practices for Climate Data Rescue&#8221; of the World Meteorological Organization. Our protocol consisted on: (i) designing a template for digitization; (ii) digitizing papers by an imaging process based on scanning and photographs; and (iii) typing numbers of wind speed data into the template. We will report the advances and current status, challenges and experiences learned during the development of WP1. Until new year 2020/2021 eight out of thirteen selected stations spanning over the years 1925 to 1948 have been scanned and digitized by three staff members of SMHI during 1,660 manhours.

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The United Nations Intergovernmental Panel on Climate Change and the Scientific “Consensus” on Global Warming

Energy & Environment ◽

10.1177/0958305x9600700403 ◽

1996 ◽

Vol 7 (4) ◽

pp. 333-348 ◽

Cited By ~ 3

Author(s):

Patrick J. Michaels ◽

Paul C. Knappenberger

Keyword(s):

Climate Change ◽

Global Warming ◽

United Nations ◽

Point Of View ◽

Sulfate Aerosols ◽

Climate Data ◽

Consensus Process ◽

Intergovernmental Panel ◽

The Earth ◽

Extreme Scenario

Climate data support the “moderate” prediction of climate change (l-1.5°C) rather than the more extreme scenario (4°C or more). The moderate point of view was originally marginalized in the IPCC “consensus” process in both the 1990 First Assessment on Climate Change and in the 1992 Update prepared specifically for the Earth Summit and to provide backing for the Rio Framework Convention on Climate Change. It is now accepted, based on ground-based data, that the errors in those models are currently between 160% and 360%. If one compares them to the satellite data combined with the land record, the error rises to a maximum of 720%. In some recognition of this massive error, the 1995 IPCC “consensus” is that warming has been mitigated by sulfate aerosols. However, when that hypothesis is specifically tested, it fails. Further, data required to test the validity of the sulfate enhanced greenhouse models was withheld by the IPCC. despite repeated requests.

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A protocol for an intercomparison of biodiversity and ecosystem services models using harmonized land-use and climate scenarios

Geoscientific Model Development ◽

10.5194/gmd-11-4537-2018 ◽

2018 ◽

Vol 11 (11) ◽

pp. 4537-4562 ◽

Cited By ~ 25

Author(s):

HyeJin Kim ◽

Isabel M. D. Rosa ◽

Rob Alkemade ◽

Paul Leadley ◽

George Hurtt ◽

...

Keyword(s):

Climate Change ◽

Land Use ◽

Ecosystem Services ◽

Biological Diversity ◽

Multiple Scales ◽

Convention On Biological Diversity ◽

Second Phase ◽

Intergovernmental Panel ◽

Wide Range ◽

Global Impacts

Abstract. To support the assessments of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), the IPBES Expert Group on Scenarios and Models is carrying out an intercomparison of biodiversity and ecosystem services models using harmonized scenarios (BES-SIM). The goals of BES-SIM are (1) to project the global impacts of land-use and climate change on biodiversity and ecosystem services (i.e., nature's contributions to people) over the coming decades, compared to the 20th century, using a set of common metrics at multiple scales, and (2) to identify model uncertainties and research gaps through the comparisons of projected biodiversity and ecosystem services across models. BES-SIM uses three scenarios combining specific Shared Socio-economic Pathways (SSPs) and Representative Concentration Pathways (RCPs) – SSP1xRCP2.6, SSP3xRCP6.0, SSP5xRCP8.6 – to explore a wide range of land-use change and climate change futures. This paper describes the rationale for scenario selection, the process of harmonizing input data for land use, based on the second phase of the Land Use Harmonization Project (LUH2), and climate, the biodiversity and ecosystem services models used, the core simulations carried out, the harmonization of the model output metrics, and the treatment of uncertainty. The results of this collaborative modeling project will support the ongoing global assessment of IPBES, strengthen ties between IPBES and the Intergovernmental Panel on Climate Change (IPCC) scenarios and modeling processes, advise the Convention on Biological Diversity (CBD) on its development of a post-2020 strategic plans and conservation goals, and inform the development of a new generation of nature-centred scenarios.

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Simulation of future climate scenarios and the impact on the water availability in southern Brazil

Acta Scientiarum Technology ◽

10.4025/actascitechnol.v43i1.56026 ◽

2021 ◽

Vol 43 ◽

pp. e56026

Author(s):

Gabriela Leite Neves ◽

Jorim Sousa das Virgens Filho ◽

Maysa de Lima Leite ◽

Frederico Fabio Mauad

Keyword(s):

Climate Change ◽

Water Balance ◽

Water Availability ◽

Meteorological Data ◽

Future Climate ◽

Climate Scenarios ◽

Southern Brazil ◽

Climate Data ◽

Intergovernmental Panel ◽

The Impact

Water is an essential natural resource that is being impacted by climate change. Thus, knowledge of future water availability conditions around the globe becomes necessary. Based on that, this study aimed to simulate future climate scenarios and evaluate the impact on water balance in southern Brazil. Daily data of rainfall and air temperature (maximum and minimum) were used. The meteorological data were collected in 28 locations over 30 years (1980-2009). For the data simulation, we used the climate data stochastic generator PGECLIMA_R. It was considered two scenarios of the fifth report of the Intergovernmental Panel on Climate Change (IPCC) and a scenario with the historical data trend. The water balance estimates were performed for the current data and the simulated data, through the methodology of Thornthwaite and Mather (1955). The moisture indexes were spatialized by the kriging method. These indexes were chosen as the parameters to represent the water conditions in different situations. The region assessed presented a high variability in water availability among locations; however, it did not present high water deficiency values, even with climate change. Overall, it was observed a reduction of moisture index in most sites and in all scenarios assessed, especially in the northern region when compared to the other regions. The second scenario of the IPCC (the worst situation) promoting higher reductions and dry conditions for the 2099 year. The impacts of climate change on water availability, identified in this study, can affect the general society, therefore, they must be considered in the planning and management of water resources, especially in the regional context

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Climate Change Influences Basidiome Emergence of Leaf-Cutting Ant Cultivars

Journal of Fungi ◽

10.3390/jof7110912 ◽

2021 ◽

Vol 7 (11) ◽

pp. 912

Author(s):

Rodolfo Bizarria ◽

Pepijn W. Kooij ◽

Andre Rodrigues

Keyword(s):

Climate Change ◽

Climate Change Scenarios ◽

Nest Architecture ◽

Historical Records ◽

Climate Data ◽

Temperature And Precipitation ◽

Data Analyses ◽

Symbiotic Mutualism ◽

Leaf Cutting

Maintaining symbiosis homeostasis is essential for mutualistic partners. Leaf-cutting ants evolved a long-term symbiotic mutualism with fungal cultivars for nourishment while using vertical asexual transmission across generations. Despite the ants’ efforts to suppress fungal sexual reproduction, scattered occurrences of cultivar basidiomes have been reported. Here, we review the literature for basidiome occurrences and associated climate data. We hypothesized that more basidiome events could be expected in scenarios with an increase in temperature and precipitation. Our field observations and climate data analyses indeed suggest that Acromyrmex coronatus colonies are prone to basidiome occurrences in warmer and wetter seasons. Even though our study partly depended on historical records, occurrences have increased, correlating with climate change. A nest architecture with low (or even the lack of) insulation might be the cause of this phenomenon. The nature of basidiome occurrences in the A. coronatus–fungus mutualism can be useful to elucidate how resilient mutualistic symbioses are in light of climate change scenarios.

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An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets

Earth System Science Data ◽

10.5194/essd-12-2959-2020 ◽

2020 ◽

Vol 12 (4) ◽

pp. 2959-2970

Author(s):

Maialen Iturbide ◽

José M. Gutiérrez ◽

Lincoln M. Alves ◽

Joaquín Bedia ◽

Ruth Cerezo-Mota ◽

...

Keyword(s):

Climate Change ◽

Climate Model ◽

Climate Adaptation ◽

Regional Climate ◽

Atmospheric Model ◽

Future Climate Change ◽

Intergovernmental Panel ◽

Temperature And Precipitation ◽

Scatter Plots ◽

Projected Changes

Abstract. Several sets of reference regions have been used in the literature for the regional synthesis of observed and modelled climate and climate change information. A popular example is the series of reference regions used in the Intergovernmental Panel on Climate Change (IPCC) Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Adaptation (SREX). The SREX regions were slightly modified for the Fifth Assessment Report of the IPCC and used for reporting subcontinental observed and projected changes over a reduced number (33) of climatologically consistent regions encompassing a representative number of grid boxes. These regions are intended to allow analysis of atmospheric data over broad land or ocean regions and have been used as the basis for several popular spatially aggregated datasets, such as the Seasonal Mean Temperature and Precipitation in IPCC Regions for CMIP5 dataset. We present an updated version of the reference regions for the analysis of new observed and simulated datasets (including CMIP6) which offer an opportunity for refinement due to the higher atmospheric model resolution. As a result, the number of land and ocean regions is increased to 46 and 15, respectively, better representing consistent regional climate features. The paper describes the rationale for the definition of the new regions and analyses their homogeneity. The regions are defined as polygons and are provided as coordinates and a shapefile together with companion R and Python notebooks to illustrate their use in practical problems (e.g. calculating regional averages). We also describe the generation of a new dataset with monthly temperature and precipitation, spatially aggregated in the new regions, currently for CMIP5 and CMIP6, to be extended to other datasets in the future (including observations). The use of these reference regions, dataset and code is illustrated through a worked example using scatter plots to offer guidance on the likely range of future climate change at the scale of the reference regions. The regions, datasets and code (R and Python notebooks) are freely available at the ATLAS GitHub repository: https://github.com/SantanderMetGroup/ATLAS (last access: 24 August 2020), https://doi.org/10.5281/zenodo.3998463 (Iturbide et al., 2020).

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A protocol for an intercomparison of biodiversity and ecosystem services models using harmonized land-use and climate scenarios

10.5194/gmd-2018-115 ◽

2018 ◽

Cited By ~ 1

Author(s):

HyeJin Kim ◽

Isabel M. D. Rosa ◽

Rob Alkemade ◽

Paul Leadley ◽

George Hurtt ◽

...

Keyword(s):

Climate Change ◽

Land Use ◽

Ecosystem Services ◽

Biological Diversity ◽

Multiple Scales ◽

Convention On Biological Diversity ◽

Second Phase ◽

Intergovernmental Panel ◽

Wide Range ◽

Global Impacts

Abstract. To support the assessments of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), the IPBES Expert Group on Scenarios and Models is carrying out an intercomparison of biodiversity and ecosystem services models using harmonized scenarios (BES-SIM). The goals of BES-SIM are (1) to project the global impacts of land use and climate change on biodiversity and ecosystem services (i.e. nature’s contributions to people) over the coming decades, compared to the 20th century, using a set of common metrics at multiple scales, and (2) to identify model uncertainties and research gaps through the comparisons of projected biodiversity and ecosystem services across models. BES-SIM uses three scenarios combining specific Shared Socio-economic Pathways (SSPs) and Representative Concentration Pathways (RCPs) to explore a wide range of land-use change and climate change futures. This paper describes the rationale for scenarios selection, the process of harmonizing input data for land use, based on the second phase of the Land Use Harmonization Project (LUH2), and climate, the biodiversity and ecosystem service models used, the core simulations carried out, the harmonization of the model output metrics, and the treatment of uncertainty. The results of this collaborative modelling project will support the ongoing global assessment of IPBES, strengthen ties between IPBES and the Intergovernmental Panel on Climate Change (IPCC) scenarios and modelling processes, advise the Convention on Biological Diversity (CBD) on its development of a post-2020 strategic plans and conservation goals, and inform the development of a new generation of nature-centred scenarios.

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Modelling the impacts of European emission and climate change scenarios on acid-sensitive catchments in Finland

Hydrology and Earth System Sciences ◽

10.5194/hess-12-449-2008 ◽

2008 ◽

Vol 12 (2) ◽

pp. 449-463 ◽

Cited By ~ 11

Author(s):

M. Posch ◽

J. Aherne ◽

M. Forsius ◽

S. Fronzek ◽

N. Veijalainen

Keyword(s):

Climate Change ◽

Surface Water ◽

Emission Reduction ◽

General Circulation ◽

General Circulation Models ◽

Chemical Recovery ◽

Climate Change Scenarios ◽

Intergovernmental Panel ◽

Sulphur Deposition ◽

Temperature And Precipitation

Abstract. The dynamic hydro-chemical Model of Acidification of Groundwater in Catchments (MAGIC) was used to predict the response of 163 Finnish lake catchments to future acidic deposition and climatic change scenarios. Future deposition was assumed to follow current European emission reduction policies and a scenario based on maximum (technologically) feasible reductions (MFR). Future climate (temperature and precipitation) was derived from the HadAM3 and ECHAM4/OPYC3 general circulation models under two global scenarios of the Intergovernmental Panel on Climate Change (IPCC: A2 and B2). The combinations resulting in the widest range of future changes were used for simulations, i.e., the A2 scenario results from ECHAM4/OPYC3 (highest predicted change) and B2 results from HadAM3 (lowest predicted change). Future scenarios for catchment runoff were obtained from the Finnish watershed simulation and forecasting system. The potential influence of future changes in surface water organic carbon concentrations was also explored using simple empirical relationships based on temperature and sulphate deposition. Surprisingly, current emission reduction policies hardly show any future recovery; however, significant chemical recovery of soil and surface water from acidification was predicted under the MFR emission scenario. The direct influence of climate change (temperate and precipitation) on recovery was negligible, as runoff hardly changed; greater precipitation is offset by increased evapotranspiration due to higher temperatures. However, two exploratory empirical DOC models indicated that changes in sulphur deposition or temperature could have a confounding influence on the recovery of surface waters from acidification, and that the corresponding increases in DOC concentrations may offset the recovery in pH due to reductions in acidifying depositions.

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Cost-Benefit Analysis of Adaptation to Beach Loss Due to Climate Change in Japan

Journal of Marine Science and Engineering ◽

10.3390/jmse8090715 ◽

2020 ◽

Vol 8 (9) ◽

pp. 715

Author(s):

Kazunori Nakajima ◽

Naoki Sakamoto ◽

Keiko Udo ◽

Yuriko Takeda ◽

Eiji Ohno ◽

...

Keyword(s):

Climate Change ◽

Environmental Quality ◽

Computable General Equilibrium ◽

Cost Benefit ◽

Sandy Beaches ◽

Recreation Demand ◽

Economic Effects ◽

Quality Factors ◽

Adaptation Measures ◽

Damage Costs

To measure economic effects of changes in environmental quality caused by climate change in Japan, we estimate beach loss damage costs in Japan and in each prefecture and evaluate the economic effectiveness of hypothetical adaptation measures to restore sandy beaches. For analyses, we use a computable general equilibrium model (CGE) that integrates a utility function with environmental quality factors as an independent variable derived from a recreation demand function in a travel cost method (TCM). We use future projections of beach loss rates in 2081–2100 based on ensemble-mean regional sea-level rise (SLR) for four Representative Concentration Pathway (RCPs) scenarios (RCP2.6, RCP4.5, RCP6.0, and RCP8.5). The main findings of our study are presented as follows. (1) In 2081–2100, beach loss damage costs were estimated respectively as 398.54 million USD per year for RCP2.6, 468.96 (m.USD/year) for RCP4.5, 494.09 (m.USD/year) for RCP6.0, and 654.63 (m.USD/year) for RCP8.5. (2) For all RCPs, six prefectures for which the cost–benefit ratio exceeds 1.0 were Kanagawa, Osaka, Hyogo, Hiroshima, Saga, and Kumamoto. Our hypothetical adaptation measure of an artificial beach enhancement is expected to be quite effective as a public works project in these prefectures.

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