Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
| 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 3.2 MB | |
| Created: | May 15, 2024 at 9:48 p.m. | |
| Last updated: | May 15, 2024 at 10:10 p.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
|---|---|
| Views: | 683 |
| Downloads: | 10 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
Spatial variability in soil CO2 efflux across landscapes is an important feature of the "Critical Zone" within dryland ecosystems. In dryland critical zones, resources are often distributed in patches or resource islands. Although this is particularly true in natural settings, the significance of spatial variability in CO2 efflux and its patterns also extends to dryland agriculture. In both irrigated and unirrigated systems, human management practices can significantly impact both organic and inorganic carbon cycling processes, highlighting the importance of studying CO2 efflux in these systems. We examined the spatial patterns of soil CO2 efflux and quantified the magnitude and scale of spatial autocorrelation using geostatistical techniques in a flood-irrigated pecan orchard and a creosote bush shrubland. Moreover, we explored some of the associated factors that may drive spatial variability in soil CO2 efflux. Our results indicated that while CO2 efflux was autocorrelated at short distances, it was quite variable and difficult to predict at larger scales across the study sites. Furthermore, the level of spatial autocorrelation varied depending on water availability, with weaker patterns at intermediate water levels at the flood-irrigated site. We also found that CO2 efflux had shorter ranges of autocorrelation compared to tree diameter and electrical conductivity. Tree diameter, proximity to the nearest tree and electrical conductivity did show some association with soil CO2 efflux, but the correlations were weak. Overall, this research provides evidence that electrical conductivity, tree diameter and proximity to the nearest tree are weak predictors of spatial variability in soil CO2 efflux and that there are likely other unmeasured factors that control spatial variation in soil CO2 efflux at these sites.
Subject Keywords
Coverage
Spatial
Temporal
| Start Date: | |
|---|---|
| End Date: |
Content
Related Resources
| This resource is described by | Orona, Viridiana, "Characterizing Spatial Variability In Soil Co2 Fluxes In The Chihuahuan Desert Using Geostatistical Techniques" (2023). Open Access Theses & Dissertations. 3837. https://scholarworks.utep.edu/open_etd/3837 |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Science Foundation | Network Cluster: Patterns and controls of ecohydrology, CO2 fluxes, and nutrient availability in pedogenic carbonate-dominated dryland critical zones | 2012475 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment