2021
DOI: 10.1371/journal.pone.0245828
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Correction: Predicting the influence of climate on grassland area burned in Xilingol, China with dynamic simulations of autoregressive distributed lag models

Abstract: Notice of republicationThis article was republished on December 30, 2020, to remove Fig 5 because this figure was derived from Fig 1 of [2], which was published in 2017 by the Midwest Political Science Association and is not offered under a CC-BY license. The PLOS ONE article [1] now cites [2] as a reference for the ARDL model used in the study, and Figs 6-8 have been renumbered as Figs 5-7.In the revised article, citations have also been added to the Stationarity test subsection of the Methods and to the Disc… Show more

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Cited by 5 publications
(2 citation statements)
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“…Here, the fixed time span was set as 16 days, following Quan, Xie et al (2021). However, other studies adopted different fixed time spans, such as 10 days (Cao et al 2017) and 1 month (Guo et al 2017;Su et al 2018;Shabbir et al 2021), in which the optimal value might be determined by enumeration methods. Instead, we did not focus on the determination of a fixed time span, since it has little negative effect on the result of wildfire probability modeling when the time span is large enough.…”
Section: Discussionmentioning
confidence: 99%
“…Here, the fixed time span was set as 16 days, following Quan, Xie et al (2021). However, other studies adopted different fixed time spans, such as 10 days (Cao et al 2017) and 1 month (Guo et al 2017;Su et al 2018;Shabbir et al 2021), in which the optimal value might be determined by enumeration methods. Instead, we did not focus on the determination of a fixed time span, since it has little negative effect on the result of wildfire probability modeling when the time span is large enough.…”
Section: Discussionmentioning
confidence: 99%
“…This method functions within the confines of a single equation model. The estimated influence on employment can appear either instantly or gradually over time, unlike the OLS, which only takes into account the present value of energy transition [43]. Some studies [42,44] adopted dynamic ARDL simulation approaches in capturing socioeconomic shocks.…”
Section: Model Simulation Using the Dynamic Ardl Simulationmentioning
confidence: 99%