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. 2022 Apr 8;12:5960. doi: 10.1038/s41598-022-09786-6

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Visualisation of linear bivariate relationships between species richness and carbon stock, timber stock, and non-timber forest products (‘NTFP’) abundance, across and within two forest types and four biogeographical subregions of the Guiana Shield. Showing relationships between species richness and carbon stock (panels a and d), between species richness and timber stock (panels b and e), and between species richness and NTFP abundance (panels c and f). Relationships across all forest types and subregions indicated by black lines (n = 151), within terra firme forests by white lines (n = 130), within white sand forests by blue lines (n = 21), within the Southern Guiana Shield by gray lines (n = 63; SGS), within the north-western Guiana Shield by purple lines (n = 21; NWGS), within the northern Pleistocene sands by green lines (n = 56; NPS), and within the south-western Pleistocene sands in the upper Rio Negro region by red lines (n = 11; SWPS). Solid lines indicate significant relationships (p < 0.05) and dashed lines non-significant relationships (p ≥ 0.05). Forest plots are coloured according to forest type or subregion. Model details are included in Tables S2.4 and S2.7.