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Global distribution of hydrologic controls on forest growth


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Resource type: Composite Resource
Storage: The size of this resource is 314.7 MB
Created: Aug 25, 2019 at 2:54 p.m.
Last updated: Aug 20, 2020 at 9:59 a.m.
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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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
90.0000°
East Longitude
180.0000°
South Latitude
-90.0000°
West Longitude
-180.0000°

Content

readme.txt

Data files for "Global distribution of hydrologic controls on forest growth"
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- 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

How to Cite

Roebroek, C. T. J. (2020). Global distribution of hydrologic controls on forest growth, HydroShare, https://doi.org/10.4211/hs.38ac7dd90c7d4353bb492604981782f0

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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