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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 1.4 GB
Created: Aug 25, 2019 at 2:54 p.m.
Last updated: Feb 21, 2020 at 11:21 a.m.
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Content types: Single File Content  Geographic Raster Content 
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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 water availability by precipitation. 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 analysed the global correlation between precipitation, groundwater and forest growth, approximated by the fraction of absorbed photosynthetically active radiation, and linked this to climate and landscape position. The results show that at the continental scale, precipitation is the main driver of forest productivity; wetter climates support higher energy absorption and consequentially more growth. But within all climates, landscape position substantially alters the growth patterns both positively and negatively. The influence of the landscape on vegetation growth varies over climate. The results display 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 mentioned in "Global distribution of hydrological controls on forest growth"
---------------------------------------------------------------------------------

1) CLASSES.TIF and CLASSES_SMALL.TIF are the raw data for the maps representing the
eco hydrological classes. The classification key:

	  		     -------------
			   + | 9 | 8 | 7 |
	  		     -------------
Correlation P and FAPAR    0 | 6 | 5 | 4 |
	  		     -------------
			   - | 3 | 2 | 1 | 
	  		     -------------
	  		       -   0   +
		      Correlation WTD and FAPAR

1:   Convergence dominated	[128 0 128]
2:   Composite			[64 64 192]
3:   Oxygen stress		[0 128 256]
4:   Convergence driven		[192 64 64]	
5:   Neutral			[230 230 230]
6:   Rooting depth stress	[64 192 192]
7:   Water limited    		[256 128 0]
8:   Precipitation driven	[192 192 0]
9:   Rooting depth limited  	[128 256 128]


2) The correlation maps are stored as int16 data format, with -10000
representing a correlation value of -1 while 10000 signifies a correlation value
of 10000. This way 4 digit correlation values were stored with a small footprint.

3) The landscape map is stored with the following classification:

1:   Open water / wetland
2:   Lowland
3:   Undulating terrain including levees
4:   Hilly
5:   Low mountainous
6:   Mountainous
7:   High mountainous





How to Cite

Roebroek, C. T. J. (2020). Global distribution of hydrologic controls on forest growth, HydroShare, http://www.hydroshare.org/resource/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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