The labels of the x- and y-axis in Fig 4 are reversed. Please see the correct Fig 4 here.
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Fig 4. Relationship between GPP estimates using global GMAO climate data (GLGC) and Hawaii-specific climate data (GLHC).
This density plot shows the distribution of MOD17 GPP estimates at 500-m resolution using global land cover and climate data products (GLGC) compared to MOD17 GPP estimates produced from the global land cover and high-resolution Hawaii-specific climate data products (GLHC), also at 500-m resolution. Pixel density values are two-dimensional kernel density estimates based on bivariate normal distributions, with higher values corresponding to higher pixel density. The line represents a 1:1 relationship. In high productivity areas, the global climate data products yield higher estimates of GPP than the Hawaii-specific climate products.
https://doi.org/10.1371/journal.pone.0192041.g001
1. Kimball HL, Selmants PC, Moreno A, Running SW, Giardina CP (2017) Evaluating the role of land cover and climate uncertainties in computing gross primary production in Hawaiian Island ecosystems. PLoS ONE 12(9): e0184466. https://doi.org/10.1371/journal.pone.0184466 pmid:28886187
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