Assessment of crop risk due to climate change in Sao Tome and Principe

AbstractSao Tome and Principe is a small insular country in the west coast of Central Africa. The small dimensions of the islands and the limited natural resources put these islands under highly vulnerable to climate change. To assess the possible future impacts and risks on their agricultural activities, the high-resolution 4-km downscaled climate change projections using Eta regional climate model are used. A crop risk index (CRI) is proposed to assess the risk of climate change on cocoa (Theobroma cacaoL.), pepper (Piper nigrumL. andPiper guinesseL.), taro (Colocasia esculenta(L.) Schott), and maize (Zea maysL.). The index takes into account the vulnerability to climate conditions and the crop yield in the future, and it is classified intovery-high,high,moderate,low, andvery-low. The climate change projections indicate increase in the risk of taro crop, partly due to thermal stress and partly due to the susceptibility to the leaf blight crop disease in taro. The risk of production of the pepper crop is very-high, mainly due to water stress. In mountain regions, the greater risk is due to the thermal stress caused by low temperatures. The cocoa crop is at risk due to water stress, mainly in the northwestern part of the Sao Tome Island, where major local production occurs. The projection indicates increase of the area with very-high risk to maize crops due to the increase of thermal stress and susceptibility to rust. In addition, in parts of the coastal regions, the risk changed from very-low to high risk, due to the low productivity potential. In general, the risks of the four major crops of Sao Tome and Principe increase in the future climate conditions.

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Can Forest-Related Adaptive Capacity Reduce Landslide Risk Attributable to Climate Change?—Case of Republic of Korea

Forests ◽

10.3390/f13010049 ◽

2022 ◽

Vol 13 (1) ◽

pp. 49

Author(s):

Chul-Hee Lim ◽

Hyun-Jun Kim

Keyword(s):

Climate Change ◽

High Risk ◽

Adaptive Capacity ◽

Climate Scenario ◽

Baseline Period ◽

Landslide Risk ◽

Adaptation To Climate Change ◽

The Future ◽

Climate Disasters ◽

Very High

Recent cases of climate disasters such as the European floods in 2021 and Korea’s longest rainy season in 2020 strongly imply the importance of adaptation to climate change. In this study, we performed a numerical prediction on how much climate change adaptation factors related to forest policy can reduce climate disasters such as landslides. We focused on the landslide in Korea and applied a machine learning model reflecting adaptive indicators in the representative concentration pathway 8.5 climate scenario. The changes in the landslide probability were estimated using the Random Forest model, which estimated the landslide probability in the baseline period (2011) with excellent performance, and the spatial adaptation indicators used in this study contributed approximately 20%. The future landslide risk predicting indicated a significant increase in the Very High and High risk areas, especially in 2092. The application of the forest-related adaptation indices based on the policy scenario showed that in 2050, the effect was not pronounced, but in 2092, when the risk of landslides was much higher, the effect increased significantly. In particular, the effect was remarkable in the Seoul metropolitan and southern coastal regions. Even with the same adaptive capacity, it exerted a larger effect on the enhanced disasters. Our results suggest that the enhancement of adaptive capacity can reduce landslide risk up to 70% in a Very High risk region. In conclusion, it implies an importance to respond to the intensifying climate disasters, and abundant follow-up studies are expected to appear in the future.

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The Awareness of and Input into Cultural Heritage Preservation by Urban Planners and Other Municipal Actors in Light of Climate Change

Atmosphere ◽

10.3390/atmos12060726 ◽

2021 ◽

Vol 12 (6) ◽

pp. 726

Author(s):

Paul Carroll ◽

Eeva Aarrevaara

Keyword(s):

Climate Change ◽

Cultural Heritage ◽

Urban Areas ◽

Climate Change Impacts ◽

Town Planning ◽

Urban Setting ◽

Heritage Preservation ◽

Climate Conditions ◽

The Future ◽

Cultural Heritage Preservation

Future climate conditions need to be considered in planning for urban areas. As well as considering how new structures would best endure in the future, it is important to take into account factors that contribute to the degradation of cultural heritage buildings in the urban setting. Climate change can cause an increase in structural degradation. In this paper, a review of both what these factors are and how they are addressed by urban planners is presented. A series of inquiries into the topic was carried out on town planning personnel and those involved in cultural heritage preservation in several towns and cities in Finland and in a small number of other European countries. The target group members were asked about observed climate change impacts on cultural heritage, about present steps being taken to protect urban cultural heritage, and also their views were obtained on how climate change impacts will be emphasised in the future in this regard. The results of the inquiry demonstrate that climate change is still considered only in a limited way in urban planning, and more interaction between different bodies, both planning and heritage authorities, as well as current research on climate change impacts, is needed in the field.

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Regionalization of Climate Change Simulations over the Eastern Mediterranean

Journal of Climate ◽

10.1175/2008jcli1807.1 ◽

2009 ◽

Vol 22 (8) ◽

pp. 1944-1961 ◽

Cited By ~ 75

Author(s):

Bariş Önol ◽

Fredrick H. M. Semazzi

Keyword(s):

Climate Change ◽

Regional Climate Model ◽

Temperature Increase ◽

Climate Model ◽

Eastern Mediterranean ◽

Regional Climate ◽

Future Climate ◽

Climate Change Projections ◽

Model Simulations ◽

The Future

Abstract In this study, the potential role of global warming in modulating the future climate over the eastern Mediterranean (EM) region has been investigated. The primary vehicle of this investigation is the Abdus Salam International Centre for Theoretical Physics Regional Climate Model version 3 (ICTP-RegCM3), which was used to downscale the present and future climate scenario simulations generated by the NASA’s finite-volume GCM (fvGCM). The present-day (1961–90; RF) simulations and the future climate change projections (2071–2100; A2) are based on the Intergovernmental Panel on Climate Change (IPCC) greenhouse gas (GHG) emissions. During the Northern Hemispheric winter season, the general increase in precipitation over the northern sector of the EM region is present both in the fvGCM and RegCM3 model simulations. The regional model simulations reveal a significant increase (10%–50%) in winter precipitation over the Carpathian Mountains and along the east coast of the Black Sea, over the Kackar Mountains, and over the Caucasus Mountains. The large decrease in precipitation over the southeastern Turkey region that recharges the Euphrates and Tigris River basins could become a major source of concern for the countries downstream of this region. The model results also indicate that the autumn rains, which are primarily confined over Turkey for the current climate, will expand into Syria and Iraq in the future, which is consistent with the corresponding changes in the circulation pattern. The climate change over EM tends to manifest itself in terms of the modulation of North Atlantic Oscillation. During summer, temperature increase is as large as 7°C over the Balkan countries while changes for the rest of the region are in the range of 3°–4°C. Overall the temperature increase in summer is much greater than the corresponding changes during winter. Presentation of the climate change projections in terms of individual country averages is highly advantageous for the practical interpretation of the results. The consistence of the country averages for the RF RegCM3 projections with the corresponding averaged station data is compelling evidence of the added value of regional climate model downscaling.

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Impact of climate change on hydropower production in the Upper Danube

10.5194/ems2021-493 ◽

2021 ◽

Author(s):

Ignacio Martin Santos ◽

Mathew Herrnegger ◽

Hubert Holzmann

Keyword(s):

Climate Change ◽

Spatial Resolution ◽

Transfer Functions ◽

Danube River ◽

Emission Scenarios ◽

Hydropower Generation ◽

Climate Change Projections ◽

Impact Of Climate Change ◽

The Future ◽

The Impact

In the last two decades, different climate downscaling initiatives provided climate scenarios for Europe. The most recent initiative, CORDEX, provides Regional Climate Model (RCM) data for Europe with a spatial resolution of 12.5 km, while the previous initiative, ENSEMBLES, had a spatial resolution of 25 km. They are based on different emission scenarios, Representative Concentration Pathways (RCPs) and Special Report on Emission Scenarios (SRES) respectively.A study carried out by Stanzel et al. (2018) explored the hydrological impact and discharge projections for the Danube basin upstream of Vienna when using either CORDEX and ENSEMBLES data. This basin covers an area of 101.810km2 with a mean annual discharge of 1923 m3/s at the basin outlet. The basin is dominated by the Alps, large gradients and is characterized by high annual precipitations sums which provides valuable water resources available along the basin. Hydropower therefore plays an important role and accounts for more than half of the installed power generating capacity for this area. The estimation of hydropower generation under climate change is an important task for planning the future electricity supply, also considering the on-going EU efforts and the &#8220;Green Deal&#8221; initiative.Taking as input the results from Stanzel et al. (2018), we use transfer functions derived from historical discharge and hydropower generation data, to estimate potential changes for the future. The impact of climate change projections of ENSEMBLE and CORDEX in respect to hydropower generation for each basin within the study area is determined. In addition, an assessment of the impact on basins dominated by runoff river plants versus basins dominated by storage plants is considered.The good correlation between discharge and hydropower generation found in the historical data suggests that discharge projection characteristics directly affect the future expected hydropower generation. Large uncertainties exist and stem from the ensembles of climate runs, but also from the potential operation modes of the (storage) hydropower plants in the future.&#160;&#160;References:Stanzel, P., Kling, H., 2018. From ENSEMBLES to CORDEX: Evolving climate change projections for Upper Danube River flow. J. Hydrol. 563, 987&#8211;999. https://doi.org/10.1016/j.jhydrol.2018.06.057&#160;

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The future of European floodplain wetlands under a changing climate

Journal of Water and Climate Change ◽

10.2166/wcc.2011.020 ◽

2011 ◽

Vol 2 (2-3) ◽

pp. 106-122 ◽

Cited By ~ 19

Author(s):

Christof Schneider ◽

Martina Flörke ◽

Gertjan Geerling ◽

Harm Duel ◽

Mateusz Grygoruk ◽

...

Keyword(s):

Climate Change ◽

Global Scale ◽

Future Climate Change ◽

Anthropogenic Factors ◽

Climate Modelling ◽

Floodplain Wetlands ◽

Potential Threat ◽

Climate Change Projections ◽

The Future ◽

Floodplain Inundation

In the future, climate change may severely alter flood patterns over large regional scales. Consequently, besides other anthropogenic factors, climate change represents a potential threat to river ecosystems. The aim of this study is to evaluate the effect of climate change on floodplain inundation for important floodplain wetlands in Europe and to place these results in an ecological context. This work is performed within the Water Scenarios for Europe and Neighbouring States (SCENES) project considering three different climate change projections for the 2050s. The global scale hydrological model WaterGAP is applied to simulate current and future river discharges that are then used to: (i) estimate bankfull flow conditions, (ii) determine three different inundation parameters, and (iii) evaluate the hydrological consequences and their relation to ecology. Results of this study indicate that in snow-affected catchments (e.g. in Central and Eastern Europe) inundation may appear earlier in the year. Duration and volume of inundation are expected to decrease. This will lead to a reduction in habitat for fish, vertebrates, water birds and floodplain-specific vegetation causing a loss in biodiversity, floodplain productivity and fish production. Contradictory results occur in Spain, France, Southern England and the Benelux countries. This reflects the uncertainties of current climate modelling for specific seasons.

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Trading space for time: Assessment of tree habitat shifts under climate change using bioclimatic envelopes

10.5194/egusphere-egu21-2135 ◽

2021 ◽

Author(s):

Katharina Enigl ◽

Matthias Schlögl ◽

Christoph Matulla

Keyword(s):

Climate Change ◽

Tree Species ◽

Ips Typographus ◽

Future Climate ◽

Forest Damage ◽

Climate Conditions ◽

North East ◽

Bioclimatic Variables ◽

The Future ◽

Forest District

Climate change constitutes a main driver of altering population dynamics of spruce bark beetles (Ips typographus) all over Europe. Their swarming activity as well as development rate are strongly dependent on temperature and the availability of brood trees. Especially over the last years, the latter has substantially increased due to major drought events which led to a widespread weakening of spruce stands. Since both higher temperatures and longer drought periods are to be expected in Central Europe in the decades ahead, foresters face the challenges of maintaining sustainable forest management and safeguarding future yields. One approach used to foster decision support in silviculture relies on the identification of possible alternative tree species suitable for adapting to expected future climate conditions in threatened regions.&#160;In this study, we focus on the forest district of Horn, a region in Austria&#8216;s north east that is beneficially influenced by the mesoclimate of the Pannonian basin. This fertile yet dry area has been severely affected by mass propagations of Ips typographus due to extensive droughts since 2017, and consequently has suffered from substantial forest damage in recent years. The urgent need for action was realized and has expedited the search for more robust alternative species to ensure sustainable silviculture in the area.The determination of suitable tree species is based on the identification of regions whose climatic conditions in the recent past are similar to those that are to be expected in the forest district of Horn in the future. To characterize these conditions, we consider 19 bioclimatic variables that are derived from monthly temperature and rainfall values. Using downscaled CMIP6 projections with a spatial resolution of 2.5 minutes, we determine future conditions in Horn throughout the 21st century. By employing 20-year periods from 2021 to 2100 for the scenarios SSP1-26, SSP2-45, SSP3-70 and SSP5-85,&#160; and comparing them to worldwide past climate conditions, we obtain corresponding bioclimatic regions for four future time slices until the end of the century. The Euclidian distance is applied as measure of similarity, effectively yielding similarity maps on a continuous scale. In order to account for the spatial variability within the forest district, this procedure is performed for the colder northwest and the warmer southeast of the area, individually seeking similar bioclimatic regions for each of these two subregions. Results point to Eastern Europe as well as the Po Valley in northern Italy as areas exhibiting the highest similarity to the future climate in this North-Eastern part of Austria.

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Avoiding misinterpretation of climate change projections of fish catches

ICES Journal of Marine Science ◽

10.1093/icesjms/fsz061 ◽

2019 ◽

Vol 76 (6) ◽

pp. 1390-1392 ◽

Cited By ~ 6

Author(s):

Manuel Barange

Keyword(s):

Climate Change ◽

Climate Change Impacts ◽

Productive Capacity ◽

Improve Performance ◽

Climate Change Projections ◽

Upper Limit ◽

The Future ◽

Fisheries Sustainability ◽

Do So

Abstract It is common to assume that climate change impacts on future fish catches, relative to current levels of catch, are directly proportional to changes in the capacity of the ocean to produce fish. However, this would only be the case if production was optimized, which is not the case, and continues to do so in the future, which we do not know. It is more appropriate to see changes in the ocean’s productive capacity as providing an upper limit to future fish catches, but whether these catches are an increase or a decrease from present catch levels depends on management decisions now and in the future, rather than on the ocean’s productive capacity alone. Disregarding the role of management in driving current and future catches is not only incorrect but it also removes any encouragement for management agencies to improve performance. It is concluded that climate change provides one of the most powerful arguments to improve fisheries—and environmental—management, and thus fisheries sustainability globally.

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Assessment of future climate change impacts on the hydrological regime of selected Greek areas with different climate conditions

Hydrology Research ◽

10.2166/nh.2016.018 ◽

2016 ◽

Vol 48 (5) ◽

pp. 1327-1342 ◽

Cited By ~ 3

Author(s):

Spyridon Paparrizos ◽

Andreas Matzarakis

Keyword(s):

Climate Change ◽

Climate Models ◽

Hydrological Cycle ◽

Meteorological Data ◽

Hydrological Regime ◽

Future Climate ◽

Future Climate Change ◽

Water Losses ◽

Climate Conditions ◽

The Future

Assessment of future variations of streamflow is essential for research regarding climate and climate change. This study is focused on three agricultural areas widespread in Greece and aims to assess the future response of annual and seasonal streamflow and its impacts on the hydrological regime, in combination with other fundamental aspects of the hydrological cycle in areas with different climate classification. ArcSWAT ArcGIS extension was used to simulate the future responses of streamflow. Future meteorological data were obtained from various regional climate models, and analysed for the periods 2021–2050 and 2071–2100. In all the examined areas, streamflow is expected to be reduced. Areas characterized by continental climate will face minor reductions by the mid-century that will become very intense by the end and thus these areas will become more resistant to future changes. Autumn season will face the strongest reductions. Areas characterized by Mediterranean conditions will be very vulnerable in terms of future climate change and winter runoff will face the most significant decreases. Reduced precipitation is the main reason for decreased streamflow. High values of actual evapotranspiration by the end of the century will act as an inhibitor towards reduced runoff and partly counterbalance the water losses.

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Methodology of an Analysis of Snow Disaster Risk for Establishing Climate Change Adaptation Measures

Korean Society of Hazard Mitigation ◽

10.9798/kosham.2020.20.1.351 ◽

2020 ◽

Vol 20 (1) ◽

pp. 351-364

Author(s):

Yu Insang

Keyword(s):

Climate Change ◽

Standard Deviation ◽

High Risk ◽

Adaptive Capacity ◽

Climate Change Adaptation ◽

Spatial Information ◽

Average Risk ◽

Adaptation Measures ◽

Increased Risk ◽

Very High

This study applies the concept of risk defined by IPCC’s fifth assessment report to Daegu City, Ulsan City, Gyeongsangbuk Province, and Gangwon Province to assess and analyze snow disaster risks. Sub-indicators of three hazards, six exposures, four vulnerabilities, and five adaptive capacities were selected, and spatial information based on grids or administrative districts was constructed. The weight of each indicator was calculated with the Analytic Hierarchy Process (AHP), and the maximum inconsistency of the expert survey result was 9.86%, indicating high consistency. The results show that administrative districts with an space average risk of “very high” are Ulleung, Gangneung, Sokcho, Yangyang, Pyeongchang, Goseong, Donghae, Samcheok, and Jeongseon, accounting for 16.7% of the entire administrative district. One region has a “high” risk, Taebaek (1.9%), and those with a “moderately high” risk were Uljin and Inje (3.8%). These regions have very high levels of hazards, very low exposure, very high vulnerability, and low adaptive capacity; hence, hazard, vulnerability, and adaptive capacity had a significant effect on the increased risk. Pyeongchang had the highest standard deviation of gridded risk among the 12 regions with a risk above moderately high. The standard deviation of gridded risk for Pyeongchang was estimated to be 1.0 with the highest value, followed by Inje, with 0.69, and Jeongseon, with 0.55; therefore, differentiated climate change adaptation measures should be established according to gridded risks.

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MODELLING LONG TERM IMPLICATION OF CLIMATE CHANGE PROJECTION ON SHORE MORPHOLOGY OF NORTH NORFOLK, UK, COMBINING TOMAWAC AND SCAPE

Coastal Engineering Proceedings ◽

10.9753/icce.v32.sediment.61 ◽

2011 ◽

Vol 1 (32) ◽

pp. 61 ◽

Cited By ~ 2

Author(s):

Nicolas Chini ◽

Peter Stansby ◽

Mike Walkden ◽

Jim Hall ◽

Judith Wolf ◽

...

Keyword(s):

Climate Change ◽

Global Climate Change ◽

Large Scale ◽

Numerical Models ◽

Global Climate ◽

Stationary Processes ◽

Climate Change Projections ◽

Future Evolution ◽

The Future

Assessment of nearshore response to climatic change is an important issue for coastal management. To predict potential effects of climate change, a framework of numerical models has been implemented which enables the downscaling of global projections to an eroding coastline, based on TOMAWAC for inshore wave propagation input into SCAPE for shoreline modelling. With this framework, components of which have already been calibrated and validated, a set of consistent global climate change projections is used to estimate the future evolution of an un-engineered coastline. The response of the shoreline is sensitive to the future scenarios, underlying the need for long term large scale offshore conditions to be included in the prediction of non-stationary processes.

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