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Type: | Resource | |
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Created: | Aug 25, 2019 at 2:54 p.m. | |
Last updated: | Aug 20, 2020 at 9:59 a.m.
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DOI: | 10.4211/hs.38ac7dd90c7d4353bb492604981782f0 | |
Citation: | See how to cite this resource | |
Content types: | Geographic Raster Content |
Sharing Status: | Published |
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Abstract
Vegetation provides key ecosystem services and is an important component in the hydrological cycle. Traditionally, the global distribution of vegetation is explained through climatic water availability. Locally, however, groundwater can aid growth by providing an extra water source (e.g. oases) or hinder growth by presenting a barrier to root expansion (e.g. swamps). In this study we analyse the global correlation between humidity (expressing climate driven water- and energy availability), groundwater and forest growth, approximated by the fraction of absorbed photosynthetically active radiation, and link this to climate and landscape position. The results show that at the continental scale, climate is the main driver of forest productivity; climates with higher water availability support higher energy absorption and consequentially more growth. Within all climate zones, however, landscape position substantially alters the growth patterns, both positively and negatively. The influence of the landscape on vegetation growth varies over climate, displaying the importance of analysing vegetation growth in a climate-landscape continuum.
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Spatial
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readme.txt
Data files for "Global distribution of hydrologic controls on forest growth" ---------------------------------------------------------------------------- - classes.tif Ecohydrological classes as described in the paper. The following table matches the indices in the file with the classes and their color as used in the paper. Key Class RGB RGB hex 1 Oxygen stress [0 128 255] #0080ff 2 Energy limited [64 64 192] #4040bf 3 Convergence dominated [128 0 128] #800080 4 Rooting space limited [64 192 192] #40bfbf 5 Neutral [230 230 230] #e6e6e6 6 Convergence driven [192 64 64] #bf4040 7 Rooting space or [128 255 128] #80ff80 precipitation driven 8 Precipitation driven [192 192 0] #bfbf40 9 Water limited [255 128 0] #ff8000 - landscape.tif Landscape classes as described in the paper. The following table describes the indices, classes and their respective colors. Key Class RGB RGB hex 1 Open water and wetland [ 0 77 172] #004dac 2 Lowland [120 145 22] #729116 3 Undulating terrain [177 188 29] #b1bc1d 4 Hilly [231 222 35] #e7de23 5 Low mountainous [175 154 21] #af9a15 6 Mountainous [120 87 7] #785707 7 High mountainous [255 249 242] #fff9f2 The scripts are stored on GitHub: https://github.com/jasperroebroek/Global_distribution_of_hydrologic_controls_on_forest_growth
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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