scholarly journals Adaptation of Wetland Rice to Extreme Weather

2017 ◽  
Vol 4 (2) ◽  
pp. 70-77
Author(s):  
Dulbari Dulbari ◽  
Edi Santosa ◽  
Eko Sulistyono ◽  
Yonny Koesmaryono
Keyword(s):  
Climate Change ◽  
Extreme Event ◽  
Grain Filling ◽  
Adaptation Strategy ◽  
Extreme Weather ◽  
Rice Production ◽  
Extreme Weather Events ◽  
Strong Wind ◽  
Canopy Architecture ◽  
Weather Events

Climate change is believed to increase the intensity and the frequency of extreme weather events in reference to strong winds and heavy precipitations. The extreme event is defined as strong wind at speed of 50 km.h-1 and rain fall intensity 10 to 20 mm.h-1 or more .  This condition is detrimental to rice production as this may lead to lodging and flooding which normally occurs during the grain filling stage to harvesting resulting in lower yield and grain quality.  The. Simultaneous extreme events and critical rice growth occured more frequently due to increasing cropping season within a year in Indonesia. Therefore, it is important to mitigate and develop adaptation strategies in order to sustain rice production. Efforts to adapt to these extreme environmental conditions are mostly based on genetics and agro ecological approaches. Genetically, rice with strong hills, high aerodynamic with low water retention is desired. Agro-ecological manipulation is conducted through wind break application, planting arrangement to facilitate better sunshine penetration, to manage water level and planting calendar. Availability of weather station in the field is important to improve mitigation and continuous adaptation strategy against extreme weather events. Keywords: plant canopy architecture, climate change, heavy rainfall, lodging, strong wind

Climate resilient rice production system: Natural resources management approach

2021 ◽  
Vol 58 (Special) ◽  
pp. 143-167
Author(s):  
Mohammad Shahid ◽  
Sushmita Munda ◽  
Rubina Khanam ◽  
Dibyendu Chatterjee ◽  
Upendra Kumar ◽  
...  
Keyword(s):  
Climate Change ◽  
Weed Management ◽  
Production System ◽  
Cropping Systems ◽  
Continuous Process ◽  
Extreme Weather ◽  
Rice Production ◽  
Extreme Weather Events ◽  
Management Approach ◽  
Weather Events

Climate change is widely recognized as one of the most pressing issues confronting humanity today. It is considered to be a direct threat to our food production system including rice. Climate change affects rice production in various ways. The variability in temperature and precipitation increases, predictability of seasonal weather patterns reduces and the frequency and intensity of extreme weather events such as droughts, floods and cyclones increases. In India, the effect of natural disasters on agriculture, including disasters caused by climate change has been gradually growing. It is believed that during the mid and end century India's future rice production is projected to reduced by 2.5 to 5% from the current level. As there is less scope for rice area to grow in the future, any growth in rice production will have to come only from productivity gains. Since climate change is a continuous process, the rice production system requires specific adaptation strategies to prevent rice yield losses and its variability. Therefore, it's critical to understand how climate change affects rice crop and to follow better production practises including crop establishment methods, water management, weed management, nutrient management and microbial resources utilization that make cropping systems more resilient to extreme weather events. The spread of climate resilient production technologies would benefit rice production systems' resilience.

An inventory of extreme events and their impacts: implications for changing risks and climate adaption

2020 ◽  
Author(s):  
Ben Clarke ◽  
Friederike Otto ◽  
Richard Jones
Keyword(s):  
Climate Change ◽  
Ad Hoc ◽  
Extreme Event ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Extreme Weather ◽  
Data Availability ◽  
Extreme Weather Events ◽  
Weather Events ◽  
The Uk

<p>Extreme weather of increasing intensity and frequency is the sharp edge of climate change. Greater understanding of exactly how the risks to people and property from such events are changing is therefore of considerable value to society; it enables the effective allocation of resources for adaption planning and provides a foundation for cost-benefit analysis of mitigation policy. Moreover, the first global stocktake following the Paris Agreement aims to comprehensively detail climate change-related loss and countries’ adaption ambition. Thus there is a clear imperative for greater understanding of the drivers of extreme weather risks.</p><p>To this end, the emerging field of Extreme Event Attribution (EEA) is becoming increasingly able to attribute the specific meteorological conditions (or even the impacts) of an event to human-induced climate change. This provides a tangible, evidence-based bridge between the global phenomenon of climate change and the scales at which people live and decisions are made. However, EEA studies are currently undertaken on an ad-hoc basis, in part due to discrepancies in data availability in different regions but also the lack of comprehensive, coordinated efforts. To provide greater utility to vital policy questions, insights from EEA need to be integrated into a wider system for documenting past events and understanding drivers of change.</p><p>In accordance with this, we propose a standardised framework for recording historical extreme weather events in an inventory structure. In our method, existing hazard-loss databases such as EMDAT provide a basis for event selection and give some basic impact details. Then, additional impact information, as well as detail about the process chain leading from antecedent conditions to impacts (the ‘event narrative’), is researched from a range of academic, government and NGO sources. Finally, existing attribution literature provides the link, or lack thereof, to human climate change. The comprehensive nature of such an inventory will align with the remit of the global stocktaking process, and offers a new and valuable perspective for understanding and adapting to changing risks at both national and sub-national scales.</p><p>To demonstrate the framework, we will here present inventories of past extreme weather events for the UK and the Caribbean in the period 2000-2019. Specifically, we will explore the logic and methodology behind the inventory framework, and use these examples to consider potential applications as well as foreseen drawbacks to the concept.</p>

Forecast-based attribution of a winter heatwave within the limit of predictability

2021 ◽  
Vol 118 (49) ◽  
pp. e2112087118
Author(s):  
Nicholas J. Leach ◽  
Antje Weisheimer ◽  
Myles R. Allen ◽  
Tim Palmer
Keyword(s):  
Climate Change ◽  
Climate Model ◽  
Extreme Event ◽  
False Negative ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Climate Change Signal ◽  
Weather Events ◽  
Medium Range ◽  
The Impact

Attribution of extreme weather events has expanded rapidly as a field over the past decade. However, deficiencies in climate model representation of key dynamical drivers of extreme events have led to some concerns over the robustness of climate model–based attribution studies. It has also been suggested that the unconditioned risk-based approach to event attribution may result in false negative results due to dynamical noise overwhelming any climate change signal. The “storyline” attribution framework, in which the impact of climate change on individual drivers of an extreme event is examined, aims to mitigate these concerns. Here we propose a methodology for attribution of extreme weather events using the operational European Centre for Medium-Range Weather Forecasts (ECMWF) medium-range forecast model that successfully predicted the event. The use of a successful forecast ensures not only that the model is able to accurately represent the event in question, but also that the analysis is unequivocally an attribution of this specific event, rather than a mixture of multiple different events that share some characteristic. Since this attribution methodology is conditioned on the component of the event that was predictable at forecast initialization, we show how adjusting the lead time of the forecast can flexibly set the level of conditioning desired. This flexible adjustment of the conditioning allows us to synthesize between a storyline (highly conditioned) and a risk-based (relatively unconditioned) approach. We demonstrate this forecast-based methodology through a partial attribution of the direct radiative effect of increased CO2 concentrations on the exceptional European winter heatwave of February 2019.

scholarly journals Weather Literacy in Times of Climate Change

2020 ◽  
Vol 12 (3) ◽  
pp. 435-452 ◽  
Author(s):  
Nadine Fleischhut ◽  
Stefan M. Herzog ◽  
Ralph Hertwig
Keyword(s):  
Climate Change ◽  
Weather Conditions ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
The Public ◽  
Weather Events ◽  
The Future ◽  
Nationally Representative ◽  
And Migration ◽  
Weather Risks

AbstractAs climate change unfolds, extreme weather events are on the rise worldwide. According to experts, extreme weather risks already outrank those of terrorism and migration in likelihood and impact. But how well does the public understand weather risks and forecast uncertainty and thus grasp the amplified weather risks that climate change poses for the future? In a nationally representative survey (N = 1004; Germany), we tested the public’s weather literacy and awareness of climate change using 62 factual questions. Many respondents misjudged important weather risks (e.g., they were unaware that UV radiation can be higher under patchy cloud cover than on a cloudless day) and struggled to connect weather conditions to their impacts (e.g., they overestimated the distance to a thunderstorm). Most misinterpreted a probabilistic forecast deterministically, yet they strongly underestimated the uncertainty of deterministic forecasts. Respondents with higher weather literacy obtained weather information more often and spent more time outside but were not more educated. Those better informed about climate change were only slightly more weather literate. Overall, the public does not seem well equipped to anticipate weather risks in the here and now and may thus also fail to fully grasp what climate change implies for the future. These deficits in weather literacy highlight the need for impact forecasts that translate what the weather may be into what the weather may do and for transparent communication of uncertainty to the public. Boosting weather literacy may help to improve the public’s understanding of weather and climate change risks, thereby fostering informed decisions and mitigation support.

scholarly journals Policy options for addressing climate change, with a focus on ecosystem based adaptation: a case study of Guyana

2021 ◽  
Author(s):  
Ramesh Lilwah
Keyword(s):  
Climate Change ◽  
Sea Level ◽  
Public Awareness ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Weather Events ◽  
Resource Sector ◽  
Adaptation Method ◽  
Impacts Of Climate Change

Close to ninety percent of Guyana‟s population live along a low lying coastal plain, which is below sea level and very vulnerable to the impacts of climate change. While the national government has not yet developed a comprehensive climate policy, the potential impacts of climate change is considered in several sectoral policies, much of which emphasize mitigation, with little focus on adaptation. This research examined the current priorities for adaptation by a review of the policies within the natural resource sector to identify opportunities for adaptation, especially ecosystem based adaptation. A Diagnostic Adaptation Framework (DAF) was used to help identify approaches to address a given adaptation challenge with regards to needs, measures and options. A survey questionnaire was used to support the policy reviews and identified four key vulnerabilities: coastal floods; sea level rise; drought and extreme weather events. The application of the DAF in selecting an adaptation method suggests the need for more data on drought and extreme weather events. Coastal flooding is addressed, with recognized need for more data and public awareness for ecosystem based adaptation

scholarly journals Projecting Climate Change Impacts on Mediterranean Finfish Production: A Case Study in Greece.

2021 ◽  
Author(s):  
Orestis Stavrakidis-Zachou ◽  
Konstadia Lika ◽  
Panagiotis Anastasiadis ◽  
Nikos Papandroulakis
Keyword(s):  
Climate Change ◽  
Climate Change Impacts ◽  
Population Level ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Mediterranean Country ◽  
Farm Level ◽  
Weather Events ◽  
The Future ◽  
The Individual

Abstract Finfish aquaculture in the Mediterranean Sea faces increasing challenges due to climate change while potential adaptation requires a robust assessment of the arising threats and opportunities. This paper presents an approach developed to investigate effects of climate drivers on Greek aquaculture, a representative Mediterranean country with a leading role in the sector. Using a farm level approach, Dynamic Energy Budget models for European seabass and meagre were developed and environmental forcing was used to simulate changes in production and farm profitability under IPCC scenarios RCP45 and RCP85. The effects of temperature and extreme weather events at the individual and farm level were considered along with that of husbandry parameters such as stocking timing, market size, and farm location (inshore, offshore) for nine regions. The simulations suggest that at the individual level fish may benefit from warmer temperatures in the future in terms of growth, thus reaching commercial sizes faster, while the husbandry parameters may have as large an effect on growth as the projected shifts in climatic cues. However, this benefit will be largely offset by the adverse effects of extreme weather events at the population level. Such events will be more frequent in the future and, depending on the intensity one assigns to them, they could cause losses in biomass and farm profits that range from mild to detrimental for the industry. Overall, these results provide quantification of some of the potential threats for an important aquaculture sector while suggesting possibilities to benefit from emerging opportunities. Therefore, they could contribute to improving the sector’s readiness for tackling important challenges in the future.

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