Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

LCZO -- Soil Survey -- Northeastern Puerto Rico and the Luquillo Mountain -- (2011-2012)


Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type: Resource
Storage: The size of this resource is 225.9 KB
Created: Nov 19, 2019 at 2:16 a.m.
Last updated: Jun 17, 2020 at 6:15 p.m.
Citation: See how to cite this resource
Content types: Single File Content 
Sharing Status: Public
Views: 2109
Downloads: 91
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

We sampled soils from 216 profiles representing 24 sites in the El Yunque National Forest to determine amounts C, N and neutral-salt-extractable Ca++, Mg++ and K+. Following the classic paradigm, we assessed the influence of climate (modeled precipitation, modeled temperature and/or elevation as a surrogate variable for both), forest type (tabonuco, colorado, palm), parent material (quartz diorite, volcaniclastics), and topography (catena positions ridge, slope, valley and % slope) on the distribution of these nutrients. To separate the effects of vegetation from those of climate, half of the sites were located between 500 and 700 m in the three forest types where rainfall and temperature were not significantly different. Using a combination of ANOVA (or Kruskal-Wallis) and univariate regression trees we determined that the amount of carbon in the top 80 cm of soil was influenced primarily by forest type (c > p > t) probably driven by differences in litter and/or root C:N ratios. Topographic position was significantly correlated with C amount (v > s, r), with the higher C amounts in the valleys probably driven by low O2 levels. Bedrock type was significantly correlated with C amount in c and p stands, but not in the tabonuco type. N was strongly correlated with C as expected. Exchangeable Ca was different across forest types (t > c, p) and bedrock type (qd > vc). Mg and K were differed by forest type, but not by bedrock type (t > c, p) or any other variables.

The next phases of this project are (1) to determine levels of these nutrients below the root zone (80-140 cm) and the factors controlling their distribution; and (2) establish field experiments to test the results of the regression trees which indicate that the C:N ratio of litter and/or root inputs is the most important variable influencing C distribution. The latter represents a first step in exploring the usefulness of regression trees as a way of sorting out the relative importance of each of the state factors (climate, topography, organisms, parent material and time) in the classic paradigm relating environmental variables to soil properties.

Soil C differs markedly across forest types (c> p> t, p s, r, p

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Northeastern Puerto Rico and the Luquillo Mountains, Bisley, Northeastern Puerto Rico and the Luquillo Mountain
North Latitude
18.3223°
East Longitude
-65.7407°
South Latitude
18.2614°
West Longitude
-65.8569°

Temporal

Start Date:
End Date:

Content

ReadMe.md

LCZO -- Soil Survey -- Northeastern Puerto Rico and the Luquillo Mountain -- (2011-2012)


OVERVIEW

Description/Abstract

We sampled soils from 216 profiles representing 24 sites in the El Yunque National Forest to determine amounts C, N and neutral-salt-extractable Ca++, Mg++ and K+. Following the classic paradigm, we assessed the influence of climate (modeled precipitation, modeled temperature and/or elevation as a surrogate variable for both), forest type (tabonuco, colorado, palm), parent material (quartz diorite, volcaniclastics), and topography (catena positions ridge, slope, valley and % slope) on the distribution of these nutrients. To separate the effects of vegetation from those of climate, half of the sites were located between 500 and 700 m in the three forest types where rainfall and temperature were not significantly different. Using a combination of ANOVA (or Kruskal-Wallis) and univariate regression trees we determined that the amount of carbon in the top 80 cm of soil was influenced primarily by forest type (c > p > t) probably driven by differences in litter and/or root C:N ratios. Topographic position was significantly correlated with C amount (v > s, r), with the higher C amounts in the valleys probably driven by low O2 levels. Bedrock type was significantly correlated with C amount in c and p stands, but not in the tabonuco type. N was strongly correlated with C as expected. Exchangeable Ca was different across forest types (t > c, p) and bedrock type (qd > vc). Mg and K were differed by forest type, but not by bedrock type (t > c, p) or any other variables. The next phases of this project are (1) to determine levels of these nutrients below the root zone (80-140 cm) and the factors controlling their distribution; and (2) establish field experiments to test the results of the regression trees which indicate that the C:N ratio of litter and/or root inputs is the most important variable influencing C distribution. The latter represents a first step in exploring the usefulness of regression trees as a way of sorting out the relative importance of each of the state factors (climate, topography, organisms, parent material and time) in the classic paradigm relating environmental variables to soil properties. Soil C differs markedly across forest types (c> p> t, p s, r, p

Creator/Author

Johnson, A.J.|Xing, Hao

CZOs

Luquillo

Contact

Miguel Leon, Miguel.Leon@unh.edu

Subtitle

Landscape-Scale Soil Survey Results for Soil Profile




SUBJECTS

Disciplines

Biogeochemistry|Geochemistry / Mineralogy

Topics

Soil Survey

Keywords

Carbon|Nitrogen|Exchangeable Ca++|Exchangeable Mg++|Exchangeable K+

Variables

Catena|Forest Type|Bedrock|Elevation|pH|Bulk Density|C:N|C%|C Mass|N %|N Mass|Calcium PPM|Magnesium PPM|Potasium PPM|Calcium|Magnesium|Potasium| For more information please see: https://www.sas.upenn.edu/lczodata/content/landscape-scale-soil-survey-results-soil-profile

Variables ODM2

Bedrock type|Bulk density|Chlorophyll c|Carbon|Calcium|Calcium, dissolved|Carbon to nitrogen mass ratio|Elevation|land classification|Magnesium|Magnesium, dissolved|N, albuminoid|Nitrogen|pH|Potassium|Potassium, dissolved




TEMPORAL

Date Start

2011-06-01

Date End

2012-07-15




SPATIAL

Field Areas

Northeastern Puerto Rico and the Luquillo Mountains|Bisley

Location

Northeastern Puerto Rico and the Luquillo Mountain

North latitude

18.32232903

South latitude

18.26143335

West longitude

-65.85692813

East longitude

-65.74067507




REFERENCE

Citation

Johnson A.J., Xing Hao. Landscape-Scale Soil Survey Results for Soil Profile. 2013. https://www.sas.upenn.edu/lczodata/content/landscape-scale-soil-survey-results-soil-profile

CZO ID

2628



Additional Metadata

Name Value
czos Luquillo
czo_id 2628
keywords Carbon, Nitrogen, Exchangeable Ca++, Exchangeable Mg++, Exchangeable K+
subtitle Landscape-Scale Soil Survey Results for Soil Profile
variables Catena, Forest Type, Bedrock, Elevation, pH, Bulk Density, C:N, C%, C Mass, N %, N Mass, Calcium PPM, Magnesium PPM, Potasium PPM, Calcium, Magnesium, Potasium
disciplines Biogeochemistry, Geochemistry / Mineralogy

How to Cite

Johnson, A., H. Xing (2020). LCZO -- Soil Survey -- Northeastern Puerto Rico and the Luquillo Mountain -- (2011-2012), HydroShare, http://www.hydroshare.org/resource/9211abc0a4fe4611a7c72ac31c35840c

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

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

Comments

There are currently no comments

New Comment

required