Cross-CZO -- Topographic Carbon Storage, GIS/Map Data, LiDAR, Land Cover -- Betasso -- (2010-2010)

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Created:	Nov 19, 2019 at 6:30 a.m.
Last updated:	Dec 24, 2019 at midnight
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Abstract

The 'Stems' data are from an individual tree segmentation (Swetnam and Falk 2014) derived from the 2010 snow-off lidar and biomass-carbon allometric equations. The purpose of the dataset is to evaluate the distribution of aboveground carbon across an elevation gradient in temperature and precipitation.

The '10m Topo points' data are derived from a bare earth digital elevation model (DEM) generated from the 2010 snow-off lidar flight, these include the topographic metrics and the biomass-carbon for each pixel derived from the sum of STEMS. The purpose of the dataset is to evaluate the distribution of aboveground carbon across an elevation gradient in temperature and precipitation.

A total of three catchments in Boulder Creek were analyzed: Como Creek, Gordon Gulch, and Betasso Preserve.

Significance Statement:
Forest carbon reservoirs in complex terrain along an elevation-climate gradient spanning an 11 Celsius range in mean annual temperature (MAT) and a 50 cm yr-1 range in mean annual precipitation (MAP) did not exhibit the expected response of increasing in size with greater MAP and idealized MAT. Within catchments, the distribution of mean and peak carbon storage doubled in size for valleys versus ridges. These results suggest spatial variations in carbon storage relate more to topographically mediated water availability, as well as aspect (energy-balance) and topographic curvature (a proxy for soil depth and depth to ground water), than elevation-climate gradients. Consequently, lateral redistribution of precipitation across topographic position may either moderate or exacerbate regional climatic controls over ecosystem productivity and tree-level responses during drought.

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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Betasso, Betasso

North Latitude

40.0157°

East Longitude

-105.3338°

South Latitude

40.0067°

West Longitude

-105.3437°

Temporal

Start Date:	05/01/2010
End Date:	05/01/2010

Streets Terrain Satelite

Spatial Extent

Content

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Additional Metadata

Name	Value
czos	Boulder, Catalina-Jemez
czo_id	5131
citation	Swetnam and Falk, Application of metabolic scaling theory to reduce error in local maxima tree segmentation from aerial LiDAR, 2014, Forest Ecology and Management, 323, 158-167.
comments	Description of the data production are given in the Supplemental Information in Swetnam et al. (in review) and are online at: href=https://pods.cyverse.org/wiki/display/~tyson_swetnam/Mapping+aboveground+biomass+from+individual+tree+segmentation+data> Mapping aboveground biomass from individual tree segmentation data
keywords	GIS, Topography, Morphometry, Carbon, Biomass
subtitle	Topographic Carbon Storage
variables	X, Y, ID, UTME, UTMN, HT, PRED, AREA, EQDIAM, MAJAX, MINAX, MAXHT, MINHT, MEANHT, EVT_Boulder, xmin, xmax, ymin, ymax, sten_num, agc_sum, nrmht, slope, aspect, cata, planc, twi, vllydpth, tpi, slpht, genc, midslp, dem, stdht, profc
disciplines	GIS / Remote Sensing, Biology / Ecology, Geomorphology, Hydrology

Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
Department of Energy		DE-SC0006968
National Science Foundation		NSF-1331408

How to Cite

Swetnam, T. L., P. Brooks, H. Barnard, A. Harpold, E. Gallo (2019). Cross-CZO -- Topographic Carbon Storage, GIS/Map Data, LiDAR, Land Cover -- Betasso -- (2010-2010), HydroShare, http://www.hydroshare.org/resource/21a405f32af346e19ddd1c2b1c694b2c

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

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

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