Editing Soil erosion rate (water-driven) — Land

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{| class="wikitable" style="float:right; clear:right; margin:0 0 1em 1em; width:320px;"
|+ SIGNAL Earth Structured Data
|-
! Object type
| Damage Signal
|-
! SIGNAL Earth ID
| DS-00077
|-
! Observable type
| Soil erosion rate (water-driven)
|-
! Unit
| tonnes/ha/yr (tonnes of soil lost per hectare per year)
|-
! Temporal structure
| Annual
|-
! Monitoring backbone
| Erosion modeling + sediment monitoring
|}
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{{SignalTerm|type=DS|id=DS-00077|label=Soil erosion rate (water-driven) — Land}} refers to the annual loss of soil mass per unit area due to the detachment and transport of soil particles by rainfall and surface runoff. This process is a key physical stressor influencing land degradation and ecosystem health globally. The rate of water-driven soil erosion is commonly expressed in tonnes per hectare per year (tonnes/ha/yr), providing a standardized measure to assess soil loss intensity across different landscapes.

Water-driven soil erosion affects agricultural productivity, water quality, and sedimentation patterns in aquatic systems. Understanding and quantifying this phenomenon is essential for land management, conservation planning, and evaluating the impacts of land use changes. It is a fundamental component of environmental monitoring frameworks aimed at assessing pressures on terrestrial ecosystems.

Within the broader context of environmental hazards, water-driven soil erosion acts as a driver of landscape change, influencing soil fertility, sediment fluxes, and habitat conditions. Its global relevance is underscored by its inclusion in integrated assessments of land degradation and sustainable land use practices.

== Geographic / System Context ==
Water-driven soil erosion occurs across diverse terrestrial environments worldwide, from agricultural fields and forested slopes to rangelands and urbanizing areas. Its spatial variability is influenced by factors such as climate, topography, soil type, vegetation cover, and land management practices. Regions with intense rainfall, steep slopes, and disturbed soils typically exhibit higher erosion rates.

Globally, soil erosion patterns reflect the interplay between natural processes and anthropogenic activities, including deforestation, tillage, and land conversion. The phenomenon is relevant at multiple scales, from local catchments to continental extents, affecting soil resource sustainability and downstream sediment transport in river basins.

== Monitoring and Measurement ==
Monitoring of water-driven soil erosion integrates erosion modeling approaches with sediment measurement techniques. Models simulate soil detachment and transport processes based on meteorological data, soil characteristics, land cover, and topography. Common modeling frameworks include the Revised Universal Soil Loss Equation (RUSLE) and process-based erosion models.

Sediment monitoring involves field measurements of soil loss using erosion plots, sediment traps, and turbidity sensors in water bodies. Remote sensing and geographic information systems (GIS) support spatial assessments by mapping land cover changes and erosion-prone areas. Institutions such as the [https://en.wikipedia.org/wiki/National_Oceanic_and_Atmospheric_Administration NOAA], [https://en.wikipedia.org/wiki/National_Aeronautics_and_Space_Administration NASA], and various academic research groups contribute to advancing monitoring methodologies.

Within the SIGNAL system, water-driven soil erosion rate is treated as a defined environmental signal whose boundaries and measurement conventions are described below.

== Signal Definition ==
The signal represents the annual rate of soil mass loss from land surfaces due to water erosion processes. It is quantified as the mass of soil (in tonnes) lost per hectare of land area per year, capturing the net effect of rainfall impact, surface runoff, and soil particle detachment and transport. This measurement reflects a physical pressure on soil resources within the terrestrial domain.

== Boundary Conditions ==
Boundary inclusions encompass all soil loss resulting from water-driven processes such as splash erosion, sheet erosion, rill erosion, and gully formation occurring on terrestrial land surfaces. The signal excludes soil loss caused by wind erosion, tillage erosion, mass wasting events unrelated to water runoff, and sediment contributions from non-soil sources such as mining or construction.

Spatially, the signal includes natural and managed lands but excludes areas permanently covered by water bodies or urban infrastructure where soil erosion is not a relevant process. Temporally, the signal is aggregated on an annual basis, reflecting cumulative soil loss over a calendar year.

== Aggregation Semantics ==
Geographically, the signal can be aggregated from plot-scale measurements to regional, national, and global extents, enabling comparative assessments across different land units. Temporal aggregation is conducted on an annual cycle, consistent with common soil erosion monitoring conventions and land use reporting periods.

Cross-signal aggregation may involve integrating soil erosion rates with related environmental signals such as sediment yield in rivers, land cover change, or vegetation degradation to provide a comprehensive picture of land system pressures. Aggregation methods consider spatial heterogeneity and temporal variability to ensure representative and comparable estimates.

== Observational Status ==
Current monitoring of water-driven soil erosion relies on a combination of erosion models calibrated with field data and sediment measurements. While global-scale assessments exist, uncertainties remain due to variability in input data quality, model parameterization, and spatial resolution. Ongoing research aims to improve model accuracy and integrate emerging remote sensing technologies.

Future SIGNAL releases may incorporate enhanced datasets, refined boundary definitions, and improved aggregation techniques to better capture temporal dynamics and spatial patterns of soil erosion. Continuous data updates will support trend analysis and inform land management decisions.

== Related Signals ==
* None specified

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== Key Associated People ==
* '''Pasquale Borrelli''' — Contributor (University of Basel) [Lead author]
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== Sources ==
* [https://www.nature.com/articles/s41467-017-02142-7 An assessment of the global impact of 21st century land use change on soil erosion — 2017]
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