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Home Correction: Predicting the influence of climate on grassland area burned in Xilingol, China with dynamic simulations of autoregressive distributed lag models
Correction: Predicting the influence of climate on grassland area burned in Xilingol, China with dynamic simulations of autoregressive distributed lag models
Correction: Predicting the influence of climate on grassland area burned in Xilingol, China with dynamic simulations of autoregressive distributed lag models

Article Type: correction Article History
Shabbir,Zhang,Johnston,Sarkodie,Lutz,and Liu: Correction: Predicting the influence of climate on grassland area burned in Xilingol, China with dynamic simulations of autoregressive distributed lag models

Notice of republication

This 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 Discussion to address the following text overlap concerns.

    The ‘Stationary test’ subsection includes text that overlaps with [3, 4].

    In the Discussion, the following text overlaps with [5]: “Major fires are dependent on… during severe fire weather conditions.”

Please download this article again to view the correct version. The originally published version of this article, with Fig 5 redacted, and the republished, corrected article are provided here for reference.

In addition, it was noted that there is overlap in text, figures, and tables between this article [1] and an article published shortly thereafter in Rangeland Ecology & Management [6]. The two articles address the same overall research objective using similar methods and report overlapping results and conclusions. The authors commented that the PLOS ONE article included variables that were not included in [6] and used multiple models for the analyses whereas the second article reported results based on a single equation model. The Rangeland Ecology & Management article has been withdrawn at the authors’ request [6].

References

AHShabbir, JZhang, JDJohnston, SASarkodie, JALutz, XLiu (2020) Predicting the influence of climate on grassland area burned in Xilingol, China with dynamic simulations of autoregressive distributed lag models. PLoS ONE 15(4): e0229894 10.1371/journal.pone.0229894

AQPhilips. (2017) Have Your Cake and Eat It Too? Cointegration and Dynamic Inference from Autoregressive Distributed Lag Models. American Journal of Political Science 62(1): 230244. 10.1111/ajps.12318

MShahzad, AUJan, SAli, RUllah. (2018) Supply response analysis of tobacco growers in Khyber Pakhtunkhwa: An ARDL approach. Field Crops Research 218: 195200. 10.1016/j.fcr.2018.01.004

MTIKhan, QAli, MAshfaq. (2018) The nexus between greenhouse gas emission, electricity production, renewable energy and agriculture in Pakistan. Renewable Energy 118: 437451. 10.1016/j.renene.2017.11.043

JEKeeley, A.Syphard (2017) Different historical fire-climate patterns in California. International Journal of Wildland Fire 26(4): 253 10.1071/WF16102

AHShabbir, JZhang, JALutz, EJBvan Etten, CValencia, XLiu. (2020). WITHDRAWN: Consequences of climate drivers on burned grassland area in Xilingol, China. Rangeland Ecology & Management. 10.1016/j.rama.2020.04.007