scholarly journals Analysis of Climate Index with Historical Burn Analysis Method for Climate Change Adaptation (A Case Study in Pacitan District, East Java)

Agromet ◽  
2017 ◽  
Vol 31 (1) ◽  
pp. 1
Author(s):  
Wahyu Sukmana Dewi ◽  
Yon Sugiarto ◽  
Woro Estiningtyas

Drought recurrently occurs in Indonesia, and it is one of the climate-related hazards that has a major impact on agriculture and food security. However, there is no a scheme, which allows any damages in agriculture associated with drought event will get an insurance. This study aims to analyze the climate index based on the potency of drought in Pacitan District, East Java to support the development of climate index insurance as an effort to climate change adaptation. This study used a climate index derived from monthly rainfall data, which was calculated based on the historical burn analysis (HBA) method. We examined climate index and measured exit value as representing of the lowest value which payment of insurance should be fully paid. Our results showed that the value varies among sub-districts in Pacitan. Kebonagung sub-district revealed the highest exit value (89 mm), which means the insurance company should pay the full insurance coverage if the rainfall in the period insured below 89 mm. The lowest exit value (18 mm) was in Pringkuku sub-district. Our finding revealed that the index HBA is suitable to be applied in regions with limited climate data. Furthermore, our approach could be one of the strategies to cope with drought to stabilize rice production during the dry season. For wide implementation, supports from government through regulation is needed.

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243779
Author(s):  
Daiju Narita ◽  
Ichiro Sato ◽  
Daikichi Ogawada ◽  
Akiko Matsumura

As climate change adaptation is becoming a recognized policy issue, the need is growing for quantitative economic evaluation of adaptation-related public investment, particularly in the context of climate finance. Funds are meant to be allocated not to any types of beneficial investments with or without climate change but to projects regarded as effective for climate change adaptation based on some metrics. But attempts at such project-specific evaluation of adaptation effects are few, in part because such assessments require an integration of various types of simulation analyses. Against this background, we conduct a case study of a Kenyan irrigation development project using a combination of downscaled climate data, runoff simulations, yield forecasting, and local socioeconomic projections to examine the effects of interventions specifically attributable to climate change adaptation, i.e., how much irrigation development can reduce the negative effects of climate change in the future. The results show that despite the uncertainties in precipitation trends, increased temperatures due to climate change have a general tendency to reduce rice yields, and that irrigation development will mitigate income impacts from the yield loss–for example, for the median scenario, the household income loss of 6% in 2050 due to climate change without irrigation development is flipped to become positive with the project. This means that the irrigation development project will likely be effective as a means for climate change adaptation.


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Guillaume Peterson St-Laurent ◽  
Lauren E. Oakes ◽  
Molly Cross ◽  
Shannon Hagerman

AbstractConservation practices during the first decade of the millennium predominantly focused on resisting changes and maintaining historical or current conditions, but ever-increasing impacts from climate change have highlighted the need for transformative action. However, little empirical evidence exists on what kinds of conservation actions aimed specifically at climate change adaptation are being implemented in practice, let alone how transformative these actions are. In response, we propose and trial a novel typology—the R–R–T scale, which improves on existing concepts of Resistance, Resilience, and Transformation—that enables the practical application of contested terms and the empirical assessment of whether and to what extent a shift toward transformative action is occurring. When applying the R–R–T scale to a case study of 104 adaptation projects funded since 2011, we find a trend towards transformation that varies across ecosystems. Our results reveal that perceptions about the acceptance of novel interventions in principle are beginning to be expressed in practice.


Author(s):  
Ivo Machar ◽  
Marián Halás ◽  
Zdeněk Opršal

Regional climate changes impacts induce vegetation zones shift to higher altitudes in temperate landscape. This paper deals with applying of regional biogeography model of climate conditions for vegetation zones in Czechia to doctoral programme Regional Geography in Palacky University Olomouc. The model is based on general knowledge of landscape vegetation zonation. Climate data for model come from predicted validated climate database under RCP8.5 scenario since 2100. Ecological data are included in the Biogeography Register database (geobiocoenological data related to landscape for cadastral areas of the Czech Republic). Mathematical principles of modelling are based on set of software solutions with GIS. Students use the model in the frame of the course “Special Approaches to Landscape Research” not only for regional scenarios climate change impacts in landscape scale, but also for assessment of climate conditions for growing capability of agricultural crops or forest trees under climate change on regional level.


2017 ◽  
Vol 76 ◽  
pp. 113-123 ◽  
Author(s):  
Timothy David Ramm ◽  
Sonia Graham ◽  
Christopher John White ◽  
Christopher Stephen Watson

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