Water table depth fluctuations during ENSO phenomenon on different tropical peat swamp forest land covers in Katingan, Indonesia

Rossita, Annuri; Witono, Aryo; Darusman, Taryono; Lestari, Dwi; Risdiyanto, Idung

doi:10.1088/1755-1315/129/1/012001

Cited by 8 publications

(6 citation statements)

References 7 publications

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“…This study linear with the previous findings that 2016 was recorded as the heaviest transmission in Bali Province (16). El Nino Southern Oscillation (ENSO) by the end of 2015, followed by the La Nina 2016 event, could be the underlying condition that brought the high intensity of rainfall (17).…”

Section: Discussionsupporting

confidence: 91%

Dengue Fever Dynamics in Bali, Indonesia 2010-2018: An Interplay of Population Density and Climatic Factors

Yudhastuti¹,

Lusno²,

Mirasa³

et al. 2022

ACTA

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Dengue Fever (DF) incidence in Bali has been the highest in Indonesia for decades. This study describes the annual distribution of DF and analyzes its association with population density, number of rainy days, and average humidity during 2010-2018 at the district level. The choropleth maps and Poisson regression were employed to provide geographical distribution and quantify the association. The P, 95% confidence interval (CI), and Akaike Information Criterion (AIC) were adopted to assess the significance and the goodness of the association. During 2010-2018 there were 55 215 new DF cases notified. The annual incidence of dengue cases in Bali increased with IRR: 1.000186 (95% CI:1.0000183:1.000189) for every increment of population density per kilometers square and increased by IRR: 1.01043 (95% CI: 1.01019: 1.01078) for every additional one rainy day annually. The dengue cases also increased with IRR 1.0172 (95% CI: 1.0137: 1.0208) for every 1% increase in average humidity. Population density and climate factors are positively associated with dengue cases incidence in Bali from 2010 to 2018. The results underline the urgency of integrating population dynamics and climatic determinants into the DF control program and customizing the intervention program based on local characteristics.

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Section: Discussionsupporting

confidence: 91%

Dengue Fever Dynamics in Bali, Indonesia 2010-2018: An Interplay of Population Density and Climatic Factors

Yudhastuti¹,

Lusno²,

Mirasa³

et al. 2022

ACTA

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“…The highest peak of DF incidence in January 2016 might be related to an El Nino Southern Oscillation (ENSO) event. The strong El Niño event that reached its peak in November 2015 caused an extensive and longer dry season with elevated sea surface temperature (SST) . It was followed by a light La Niña in 2016, when the rainy season started earlier and lasted longer.…”

Section: Discussionmentioning

confidence: 99%

“…It was followed by a light La Niña in 2016, when the rainy season started earlier and lasted longer. The ENSO event also influenced inter-annual rainfall variability [44], with Sumatra, Kalimantan and Malaysia being most affected [45]. This phenomenon is similar to ENSO 1992-2001 [46] and was also recorded in Taiwan in 2016 [47][48][49][50].…”

Section: Variablesmentioning

confidence: 91%

Forest cover and climate as potential drivers for dengue fever in Sumatra and Kalimantan 2006–2016: a spatiotemporal analysis

Husnina

Clements

Wangdi

2019

Tropical Med Int Health

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Objectives To describe and quantify spatiotemporal trends of dengue fever at district level in Sumatra and Kalimantan, Indonesia in relation to forest cover and climatic factors. Methods A spatial ecological study design was used to analyse monthly surveillance data of notified dengue fever cases from January 2006 to December 2016 in the 154 districts of Sumatra and 56 districts of Kalimantan. A multivariate, zero‐inflated Poisson regression model was developed with a conditional autoregressive prior structure with posterior parameters estimated using Bayesian Markov chain Monte Carlo simulation with Gibbs sampling. Results There were 230 745 cases in Sumatra and 132 186 cases in Kalimantan during the study period. In Sumatra, the risk of dengue fever decreased by 9% (95% credible interval [CrI] 8.5–9.5%) for a 1% increase in forest cover and by 12.2% (95% CrI 11.9–12.6%) for a 1% increase in relative humidity. In Kalimantan, dengue fever risk fell by 17.6% (95% CrI 17.1–18.1%) for a 1% increase in relative humidity and rose by 7.6% (95% CrI 6.9–8.4%) for a 1 °C increase in minimum temperature. There was no significant residual spatial clustering in Sumatra after accounting for climate and demographic variables. In Kalimantan, high residual risk areas were primarily centred in North and East of the island. Conclusions Dengue fever in Sumatra and Kalimantan was highly seasonal and associated with climate factors and deforestation. Incorporation of climate indicators into risk‐based surveillance might be warranted for dengue fever in Indonesia.

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“…Limited available land in mineral soil for plantation expansion has transferred the land demand to peatland, causing deforestation and adding pressures to the peat ecosystem (Boer 2016; Uda et al 2018;Nurrochmat et al 2020). The pressure from land demand, exacerbated by the building of canals to make peatland feasible for dryland cultivation, has led to the peatland becoming increasingly exposed to the aerobic environment (Hooijer et al 2006;Carlson et al 2015) and thus more susceptible to peat fires (Wösten et al 2006;Putra et al 2008;Taufik et al 2017), which could worsen with climate change (Osaki et al 2016;Cobb et al 2017;Rossita et al 2018). It has been reported that under massive peat degradation, the peat ecosystem could lose its capacity to provide ES as carbon flux dynamics shift (Hooijer et al 2010;Gunawan et al 2016;Hirano et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Assessing the monetary value of ecosystem services provided by Gaung – Batang Tuaka Peat Hydrological Unit (KHG), Riau Province

Rossita

Nurrochmat

Boer

et al. 2021

Heliyon

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Water table depth fluctuations during ENSO phenomenon on different tropical peat swamp forest land covers in Katingan, Indonesia

Cited by 8 publications

References 7 publications

Dengue Fever Dynamics in Bali, Indonesia 2010-2018: An Interplay of Population Density and Climatic Factors

Dengue Fever Dynamics in Bali, Indonesia 2010-2018: An Interplay of Population Density and Climatic Factors

Forest cover and climate as potential drivers for dengue fever in Sumatra and Kalimantan 2006–2016: a spatiotemporal analysis

Assessing the monetary value of ecosystem services provided by Gaung – Batang Tuaka Peat Hydrological Unit (KHG), Riau Province

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