The University of Southampton
University of Southampton Institutional Repository

Volume estimation of soil stored in agricultural terrace systems: a geomorphometric approach

Volume estimation of soil stored in agricultural terrace systems: a geomorphometric approach
Volume estimation of soil stored in agricultural terrace systems: a geomorphometric approach
High-resolution topographic (HRT) techniques allow the mapping and characterization of geomorphological features with wide-ranging perspectives at multiple scales. We can exploit geomorphometric information in the study of the most extensive and common landforms that humans have ever produced: agricultural terraces. We can only develop an understanding of these historical landform through in-depth knowledge of their origin, evolution and current state in the landscape. These factors can ultimately assist in the future preservation of such landforms in a world increasingly affected by anthropogenic activities. From HRT surveys, it is possible to produce high-resolution Digital Terrain Models (DTMs) from which important geomorphometric parameters such as topographic curvature, to identify terrace edges can be extracted, even if abandoned or covered by uncontrolled vegetation. By using riser bases as well as terrace edges (riser tops) and through the computation of minimum curvature, it is possible to obtain environmentally useful information on these agricultural systems such as terrace soil thickness and volumes. The quantification of terrace volumes can provide new benchmarks for soil erosion models, new perspectives to stakeholders for terrace management in terms of natural hazard and offer a measure of the effect of these agricultural systems on soil organic carbon sequestration. This paper presents the realization and testing of an innovative and rapid methodological workflow to estimate the anthropogenic reworked and moved soil of terrace systems in different landscapes. We start with remote terrace mapping at large scale and then utilize more detailed HRT surveys to extract geomorphological features, from which the original theoretical slope-surface of terrace systems were derived. These last elements were compared with sub-surface information obtained from the excavations across the study sites that confirm the reliability of the methodology used. The results of this work have produced accurate DTMs of Difference (DoD) for three terrace sites in central Europe in Italy and Belgium. Differences between actual and theoretical terraces from DTM and excavation evidence have been used to estimate the soil volumes and masses used to remould slopes. The utilization of terrace and lynchet volumetric data, enriched by geomorphometric analysis through indices such as sediment conductivity provides a unique and efficient methodology for the greater understanding of these globally important landforms, in a period of increasing land pressure.
Volume Computation, Agricultural Terrace Systems, High-Resolution Topography, Geomorphological Features
0341-8162
1-17
Cucchiaro, Sara
7d9876e2-f73c-411d-9966-980681b3f3cd
Paliaga, Guido
99fbe068-c245-4aa4-8d2a-8983eb56ef32
Fallu, Daniel
3f91622e-bf08-458c-beec-505bf161b20d
Pears, Benjamin
36d04a0f-6948-4e68-8f60-3a2a54d70bd0
Walsh, Kevin
61615c49-7a43-403e-993d-7842557e8eab
Zhao, Pengzhi
4aa7e133-ec83-4558-ad6b-593a23ee6301
Van Oost, Kristof
ed4dab60-92c1-4fa4-b98e-49af41bbaa16
Snape, Lisa
d7048da5-96fd-4a20-a3b6-35a04332b005
Lang, Andreas
d4303581-0fa8-49f7-af61-0d27b7dc8d01
Brown, Antony
c51f9d3e-02b0-47da-a483-41c354e78fab
Tarolli, Paolo
2126b078-784e-4444-9bf1-2a2dffdb8e38
Cucchiaro, Sara
7d9876e2-f73c-411d-9966-980681b3f3cd
Paliaga, Guido
99fbe068-c245-4aa4-8d2a-8983eb56ef32
Fallu, Daniel
3f91622e-bf08-458c-beec-505bf161b20d
Pears, Benjamin
36d04a0f-6948-4e68-8f60-3a2a54d70bd0
Walsh, Kevin
61615c49-7a43-403e-993d-7842557e8eab
Zhao, Pengzhi
4aa7e133-ec83-4558-ad6b-593a23ee6301
Van Oost, Kristof
ed4dab60-92c1-4fa4-b98e-49af41bbaa16
Snape, Lisa
d7048da5-96fd-4a20-a3b6-35a04332b005
Lang, Andreas
d4303581-0fa8-49f7-af61-0d27b7dc8d01
Brown, Antony
c51f9d3e-02b0-47da-a483-41c354e78fab
Tarolli, Paolo
2126b078-784e-4444-9bf1-2a2dffdb8e38

Cucchiaro, Sara, Paliaga, Guido, Fallu, Daniel, Pears, Benjamin, Walsh, Kevin, Zhao, Pengzhi, Van Oost, Kristof, Snape, Lisa, Lang, Andreas, Brown, Antony and Tarolli, Paolo (2021) Volume estimation of soil stored in agricultural terrace systems: a geomorphometric approach. CATENA, 207, 1-17, [207]. (doi:10.1016/j.catena.2021.105687).

Record type: Article

Abstract

High-resolution topographic (HRT) techniques allow the mapping and characterization of geomorphological features with wide-ranging perspectives at multiple scales. We can exploit geomorphometric information in the study of the most extensive and common landforms that humans have ever produced: agricultural terraces. We can only develop an understanding of these historical landform through in-depth knowledge of their origin, evolution and current state in the landscape. These factors can ultimately assist in the future preservation of such landforms in a world increasingly affected by anthropogenic activities. From HRT surveys, it is possible to produce high-resolution Digital Terrain Models (DTMs) from which important geomorphometric parameters such as topographic curvature, to identify terrace edges can be extracted, even if abandoned or covered by uncontrolled vegetation. By using riser bases as well as terrace edges (riser tops) and through the computation of minimum curvature, it is possible to obtain environmentally useful information on these agricultural systems such as terrace soil thickness and volumes. The quantification of terrace volumes can provide new benchmarks for soil erosion models, new perspectives to stakeholders for terrace management in terms of natural hazard and offer a measure of the effect of these agricultural systems on soil organic carbon sequestration. This paper presents the realization and testing of an innovative and rapid methodological workflow to estimate the anthropogenic reworked and moved soil of terrace systems in different landscapes. We start with remote terrace mapping at large scale and then utilize more detailed HRT surveys to extract geomorphological features, from which the original theoretical slope-surface of terrace systems were derived. These last elements were compared with sub-surface information obtained from the excavations across the study sites that confirm the reliability of the methodology used. The results of this work have produced accurate DTMs of Difference (DoD) for three terrace sites in central Europe in Italy and Belgium. Differences between actual and theoretical terraces from DTM and excavation evidence have been used to estimate the soil volumes and masses used to remould slopes. The utilization of terrace and lynchet volumetric data, enriched by geomorphometric analysis through indices such as sediment conductivity provides a unique and efficient methodology for the greater understanding of these globally important landforms, in a period of increasing land pressure.

Text
1-s2.0-S0341816221005452-main (1) - Version of Record
Available under License Creative Commons Attribution.
Download (36MB)

More information

Accepted/In Press date: 16 August 2021
e-pub ahead of print date: 6 September 2021
Keywords: Volume Computation, Agricultural Terrace Systems, High-Resolution Topography, Geomorphological Features

Identifiers

Local EPrints ID: 454953
URI: http://eprints.soton.ac.uk/id/eprint/454953
ISSN: 0341-8162
PURE UUID: a2b40366-ebd5-4834-9601-b3e96380a65b
ORCID for Antony Brown: ORCID iD orcid.org/0000-0002-1990-4654

Catalogue record

Date deposited: 02 Mar 2022 17:53
Last modified: 17 Mar 2024 03:09

Export record

Altmetrics

Contributors

Author: Sara Cucchiaro
Author: Guido Paliaga
Author: Daniel Fallu
Author: Benjamin Pears
Author: Kevin Walsh
Author: Pengzhi Zhao
Author: Kristof Van Oost
Author: Lisa Snape
Author: Andreas Lang
Author: Antony Brown ORCID iD
Author: Paolo Tarolli

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×