TY - JOUR
T1 - Reachability of a Soil Phosphorus Target That Satisfies Agricultural Production and Water Quality Goals
AU - Wallington, Kevin
AU - Cai, Ximing
AU - Stipanović, Dušan
N1 - K.W. would like to thank John Lygeros, Sayan Mitra, and their respective research labs for insightful discussions on reachability and safety verification that improved K.W.\u2019s understanding of the field. K.W. and X.C. would like to thank the NSF Innovations at the Nexus of Food\u2010Energy\u2010Water Systems program (INFEWS/T1 #1739788) for funding this work.
PY - 2025/3
Y1 - 2025/3
N2 - Phosphorus fertilization has supported remarkable improvements in agricultural productivity but also degraded water quality. Watershed simulation models have been broadly instrumental to crafting phosphorus management responses. However, simulation-based studies rely on predesigned watershed scenarios (e.g., initial conditions and management actions) and are blind to outcomes that might only emerge from unseen scenarios. Meanwhile, efforts to restore water quality have routinely failed. In contrast to simulation-based methods, here we implement optimal control and reachability methods that describe watershed phosphorus trajectories for any initial condition and fertilizer strategy. The trade-off is that these new methods require simplification of the system's dynamics. For a two-pool phosphorus model, we define a dual management target where (a) plant-available phosphorus satisfies crop demand but (b) total phosphorus losses meet water quality goals. From this target, we compute backwards-reachable sets that indicate the minimum time in which the target can be reached from all initial conditions. For a typical watershed in the U.S. corn belt, we find that it will take at least 42 years to reach the joint agricultural and water quality target. We show that the optimal (time-minimizing) fertilizer rate strategy drives a roundabout trajectory toward the target where soil phosphorus violates the crop demand threshold during the interim time. However, we find that even small, short-term agricultural sacrifices can profoundly hasten progress toward the long-term, joint target of agricultural productivity and water quality. These results and methods complement traditional simulation-based studies and provide watershed managers with a richer characterization of uncertainty and management options.
AB - Phosphorus fertilization has supported remarkable improvements in agricultural productivity but also degraded water quality. Watershed simulation models have been broadly instrumental to crafting phosphorus management responses. However, simulation-based studies rely on predesigned watershed scenarios (e.g., initial conditions and management actions) and are blind to outcomes that might only emerge from unseen scenarios. Meanwhile, efforts to restore water quality have routinely failed. In contrast to simulation-based methods, here we implement optimal control and reachability methods that describe watershed phosphorus trajectories for any initial condition and fertilizer strategy. The trade-off is that these new methods require simplification of the system's dynamics. For a two-pool phosphorus model, we define a dual management target where (a) plant-available phosphorus satisfies crop demand but (b) total phosphorus losses meet water quality goals. From this target, we compute backwards-reachable sets that indicate the minimum time in which the target can be reached from all initial conditions. For a typical watershed in the U.S. corn belt, we find that it will take at least 42 years to reach the joint agricultural and water quality target. We show that the optimal (time-minimizing) fertilizer rate strategy drives a roundabout trajectory toward the target where soil phosphorus violates the crop demand threshold during the interim time. However, we find that even small, short-term agricultural sacrifices can profoundly hasten progress toward the long-term, joint target of agricultural productivity and water quality. These results and methods complement traditional simulation-based studies and provide watershed managers with a richer characterization of uncertainty and management options.
KW - environmental sustainability
KW - legacy phosphorus
KW - multi-objective optimization
KW - nutrient loss reduction
KW - optimal control
KW - watershed management
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U2 - 10.1029/2024WR037714
DO - 10.1029/2024WR037714
M3 - Article
AN - SCOPUS:105000883806
SN - 0043-1397
VL - 61
JO - Water Resources Research
JF - Water Resources Research
IS - 3
M1 - e2024WR037714
ER -