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Forest and Ground Cover classification, DEM, and Beryllium-10 data for the Luquillo Experimental Forest


A newer version of this resource http://www.hydroshare.org/resource/0181f4621d184a89a625ee16dd9858a6 is available that replaces this version.
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Created: Dec 22, 2022 at 12:54 p.m.
Last updated: Feb 09, 2023 at 9:21 p.m. (Metadata update)
Published date: Feb 09, 2023 at 9:21 p.m.
DOI: 10.4211/hs.114c6ee544ca449990a7005655a7263c
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Content types: Geographic Feature Content  Geographic Raster Content 
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Abstract

Topography is commonly viewed as a passive backdrop on which vegetation grows. Yet, in certain circumstances, a bidirectional feedback may develop between the control of topography and the spatial distribution of vegetation and landform development, because vegetation modulates the erosion of the land surface. Therefore, if reinforcing feedbacks are established between erosion and land cover distribution over timescales relevant to landform development, then the interactions between vegetation and topography may create distinctive landforms, shaped by vegetation. We expose here a strong correlation between the spatial distribution of vegetation, erosion rates, and topography at a characteristic length scale of 102-103m (mesoscale topography) in the Luquillo Experimental forest (LEF) of Puerto Rico. We use high-resolution LiDAR topography to characterize landforms, satellite images to classify the vegetation into forest types, and in-situ produced cosmogenic 10Be in the quartz extracted from soils and stream sediments to document spatial variations in soil erosion. The data document a strong correlation between forest type and topographic position (hilltop vs. valleys), and a correlation between topographic position and 10Be-derived erosion rates over 103-104 years. Erosion is faster in valleys, which are mostly covered by monocot Palm Forest, and slower on surrounding hills mostly covered by the dicot Palo Colorado Forest. Transition from one forest type to the next occurs across a break-in-slope that separates shallowly convex hilltops from deeply concave valleys (coves). The break-in-slope is the consequence of a longer-lasting erosional imbalance whereby coves erode faster than hills over landscape-shaping timescales. Such a deepening of the coves is usually spurred by external drivers, but such drivers are here absent. This implies that cove erosion is driven by a process originating within the coves themselves. We propose that vegetation is the primary driver of this imbalance, soil erosion being faster under Palm forest than under Palo Colorado forest. Concentration of the Palm forest in the deepening coves is reinforced by the better adaptation of Palm trees to the erosive processes that take place in the coves, once these develop steep slopes. At the current rate of landscape development, we find that the imbalance started within the past 0.1-1.5 My. The initiation of the process could correspond to time of settlement of these mountain slopes by the Palm and Palo Colorado forests.

S2-Shapefile1- Study Area
S2-Shapefile2 - Cove And Ridge Tops On Quartz Diorite
S2-Shapefile3 - Ground Proofing Tracks

S1-Grid1.tif - Elevation
S1-Grid2.tif - Elevation in Study Area
S2-Grid1.tif- Forest Classification; Sierra Palm is classified with #2 on each raster cell, Palo Colorado is classified with #3 in each grid cell.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Headwaters of Río Blanco in the Luquillo Expiremental Forest
North Latitude
18.2955°
East Longitude
-65.7631°
South Latitude
18.2543°
West Longitude
-65.8208°

Temporal

Start Date:
End Date:

Content

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

Related Resources

This resource has been replaced by a newer version Brocard, G. Y., J. Willenbring, F. N. Scatena (2023). Forest and Ground Cover classification, DEM, and Beryllium-10 data for the Luquillo Experimental Forest, HydroShare, http://www.hydroshare.org/resource/0181f4621d184a89a625ee16dd9858a6

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation - Division Of Earth Sciences Luquillo CZO: The role of hot spots and hot moments in tropical landscape evolution and functioning of the critical zone 1331841
National Science Foundation - Division Of Environmental Biology LTER: Luquillo LTER VI: Understanding Ecosystem Change in Northeastern Puerto Rico 1831952

How to Cite

Brocard, G. Y., J. Willenbring, F. N. Scatena (2023). Forest and Ground Cover classification, DEM, and Beryllium-10 data for the Luquillo Experimental Forest, HydroShare, https://doi.org/10.4211/hs.114c6ee544ca449990a7005655a7263c

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

http://creativecommons.org/licenses/by/4.0/
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