Search
Going back to grassland? Assessing the impact of groundwater decline on irrigated agriculture using remote sensing data
Sources of information

Remote Sensing | March 21, 2023

Climate change has increased the risk of agricultural drought in arid and semi-arid regions worldwide. To adapt, farmers often shift to more drought-tolerant crops or permanently switch back to grassland. Understanding the impact of declining groundwater levels on this decision-making process is crucial. Researchers from New Mexico Tech conducted a study in Union County, New Mexico, to explore how groundwater level decline affects the propensity of cropland switching back to grassland.

The study integrated field-scale groundwater level projections and high-resolution remote sensing data on crop choices. Using a regression analysis framework, they found that as the groundwater level in the Ogallala Aquifer declined, cropland in the area gradually and permanently shifted back to grassland. For every one-standard-deviation decline in groundwater level, there was an average 1.85% increase in the likelihood of switching back to grassland, which is a natural carbon sink.

The findings consider the fact that farmers explore other options before permanently switching back, such as growing more drought-tolerant crops or implementing land idling and rotation. The study concludes by discussing the policy implications for long-term land and water conservation.

This research provides valuable insights into the effects of declining groundwater levels on agricultural practices, helping inform sustainable land and water management policies in drought-prone regions.

*
A standard 400 m radius irrigated field (field #2) in its transition into grassland (left panel) compared to the remotely sensed Crop Data Layer (right panel, 2019 data) of the same location. Data Source: NASS, USDA; Google Maps. Note: The remote sensing data in the right panel indicate that corn (in dark green) was grown in fields #1, #3, and #4 in 2019. Later, in 2021 (corresponding to the time of the left panel Google Maps imagery), field #3 was in idle status and fields #1 and #4 still had corn.

 

Viewed Articles
Going back to grassland? Assessing the impact of groundwater decline on irrigated agriculture using remote sensing data
Remote Sensing | March 21, 2023Climate change has increased the risk of agricultural drought in arid and semi-arid regions worldwide. To adapt, farmers often shift to more drought-tolerant crops or pe
Read More
Enhancing greenhouse efficiency: Integrating IoT and reinforcement learning for optimized climate control
December 19, 2024 | Sensors | Introduction: Automated greenhouse systems typically depend on fixed set-point controls that require skilled technicians for configuration and maintenance, limiting scala
Innovative processes in smart packaging. A systematic review
March 13, 2022 | Journal of the Science of Food and Agriculture | Source |  Introduction: Food loss and waste are major environmental concerns, contributing to 29% of global GHG emissions, with especi
Enhancing Energy Efficiency of Greenhouses using AI-based Climate Control
February 28, 2023 | Advances in Applied Energy |  Introduction: Researchers from Cornell University in USA proposed the use of novel artificial intelligence (AI)-based control framework to enhance the
Recent climate-smart innovations in agrifood to enhance producer incomes through sustainable solutions
March, 2024 | Journal of Agriculture and Food Research |  Introduction: Climate change is undermining agrifood productivity and producer incomes, with small-scale farmers facing heightened exposure du
Adapting crop production to climate change and air pollution at different scales
October 16, 2023 | Nature Food |  Introduction: Air pollution and climate change are interconnected challenges that impact field crop production and agroecosystem health. Adapting crop production to t
TOP