Future Land Use Scenarios Could Increase Global Water Erosion by 10% by 2070

Category: Resource Management · Effect: Strong effect · Year: 2020

Projected changes in land use driven by socioeconomic developments may significantly alter global soil erosion rates by water, with some scenarios indicating an increase by 2070.

Design Takeaway

Future design strategies for land management and agricultural systems must proactively account for the potential exacerbation of soil erosion due to projected land use and climate change.

Why It Matters

Understanding the potential impact of future land use on soil erosion is critical for sustainable land management and environmental policy. Designers and engineers involved in agricultural systems, infrastructure development, and environmental restoration need to consider these erosion risks to mitigate negative consequences.

Key Finding

Soil erosion by water is projected to change significantly by 2070, with land use shifts potentially increasing erosion in some scenarios, while climate change is expected to drive a substantial increase in erosion globally.

Key Findings

Research Evidence

Aim: To predict future rates of global soil erosion by water under different socioeconomic and climate change scenarios.

Method: Semi-empirical modeling approach (GloSEM based on RUSLE)

Procedure: The study utilized a Revised Universal Soil Loss Equation (RUSLE)-based model (GloSEM) to predict global potential soil erosion by water. This was done under three alternative Shared Socioeconomic Pathway and Representative Concentration Pathway (SSP-RCP) scenarios, considering both land use changes and climate projections for the period 2015-2070.

Context: Global land use and climate change impacts on soil erosion.

Design Principle

Integrate predictive environmental modeling into the design process to anticipate and mitigate future resource degradation.

How to Apply

When designing agricultural practices, land reclamation projects, or water management systems, consider the projected changes in soil erosion rates based on relevant socioeconomic and climate scenarios for the project's location and timeframe.

Limitations

The study focuses on water erosion and excludes gully and river bank erosion. Predictions are subject to uncertainties inherent in socioeconomic and climate models.

Student Guide (IB Design Technology)

Simple Explanation: This study shows that how we use land in the future, along with climate change, could make soil wash away with water much more easily by the year 2070.

Why This Matters: Understanding how future environmental conditions might impact natural resources like soil is crucial for designing sustainable and resilient solutions.

Critical Thinking: How might the uncertainties in future socioeconomic development and climate projections affect the reliability of these erosion predictions for design decision-making?

IA-Ready Paragraph: Research indicates that future land use patterns, influenced by socioeconomic developments, coupled with climate change, are projected to significantly impact global soil erosion by water. For instance, by 2070, certain land use scenarios could increase water erosion, while climate change is expected to drive a substantial rise in erosion rates globally (Borrelli et al., 2020). This highlights the critical need for designs in agriculture and land management to incorporate robust soil conservation strategies to mitigate future environmental degradation.

Project Tips

How to Use in IA

Examiner Tips

Independent Variable: ["Shared Socioeconomic Pathway and Representative Concentration Pathway (SSP-RCP) scenarios (representing land use and climate change)","Conservation agriculture practices"]

Dependent Variable: ["Global potential soil erosion rates by water (Pg yr⁻¹)"]

Controlled Variables: ["The Revised Universal Soil Loss Equation (RUSLE)-based modeling approach (GloSEM)","The baseline year (2015)"]

Strengths

Critical Questions

Extended Essay Application

Source

Land use and climate change impacts on global soil erosion by water (2015-2070) · Proceedings of the National Academy of Sciences · 2020 · 10.1073/pnas.2001403117