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      Correction: Finding karstic caves and rockshelters in the Inner Asian mountain corridor using predictive modelling and field survey

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          Abstract

          The caption for Fig 6 is incorrect. Please see the complete, correct Fig 6 caption here. 10.1371/journal.pone.0250142.g001 Fig 6 Examples caves and rockshelter features. A) shows an overview of the IAMC in South Kazakhstan with the locations of the highlighted karstic features. B) Aquiq 1 cave. Inaccessible cave formed along vertical joints. Minor karstic features like the crevices and hollows that are ubiquitous all over this particular cliff face were not recorded as individual features, but as one collective feature. C) Qyzkorgan 3 rockshelter. Features wider than deeper like Qyzkorgan 3 were identified as ‘rockshelters. D) Aqtasty 3 cave. We identified caves as features deeper than they are wide.

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          Finding karstic caves and rockshelters in the Inner Asian mountain corridor using predictive modelling and field survey

          The area of the Inner Asian Mountain Corridor (IAMC) follows the foothills and piedmont zones around the northern limits of Asia’s interior mountains, connecting two important areas for human evolution: the Fergana valley and the Siberian Altai. Prior research has suggested the IAMC may have provided an area of connected refugia from harsh climates during the Pleistocene. To date, this region contains very few secure, dateable Pleistocene sites, but its widely available carbonate units present an opportunity for discovering cave sites, which generally preserve longer sequences and organic remains. Here we present two models for predicting karstic cave and rockshelter features in the Kazakh portion of the IAMC. The 2018 model used a combination of lithological data and unsupervised landform classification, while the 2019 model used feature locations from the results of our 2017–2018 field surveys in a supervised classification using a minimum-distance classifier and morphometric features derived from the ASTER digital elevation model (DEM). We present the results of two seasons of survey using two iterations of the karstic cave models (2018 and 2019), and evaluate their performance during survey. In total, we identified 105 cave and rockshelter features from 2017–2019. We conclude that this model-led approach significantly reduces the target area for foot survey.
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            Journal
            PLoS One
            PLoS One
            plos
            plosone
            PLoS ONE
            Public Library of Science (San Francisco, CA USA )
            1932-6203
            8 April 2021
            2021
            8 April 2021
            : 16
            : 4
            : e0250142
            Article
            PONE-D-21-10788
            10.1371/journal.pone.0250142
            8031879
            33831119
            8085ce21-7956-4444-84e5-742463ebcd5f
            © 2021 Cuthbertson et al

            This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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