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2025 ; 45
(ä): 48
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Modeling Wetland Resources for Spring Migratory Waterbirds Under Different
Agricultural Management Scenarios in the Iowa Portion of the Prairie Pothole
Region, USA
#MMPMID40590040
Mitchell ME
; Anteau MJ
; Pearse AT
; Newcomer-Johnson T
; Christensen J
; Crumpton W
; Dyson B
; Canfield TJ
; Helmers M
; Green D
; Forshay KJ
Wetlands (Wilmington)
2025[]; 45
(ä): 48
PMID40590040
show ga
Constructed water quality wetlands, designed to accept tile drainage and surface
runoff, are a promising solution for reducing surface water nutrient loading from
agricultural systems. In addition to their water quality benefits, these systems
may also offset losses of migratory waterbird stopover sites resulting from
historical and future agricultural drainage modernization. To assess this
possibility, we developed spatially explicit habitat models informed with expert
opinion to explore the: 1) potential of water quality wetlands to provide
suitable stopover resources for waterbirds during spring migration; and 2) the
extent these wetlands can offset likely losses of stopover resources due to
drainage modernization. We focused our modeling on the Iowa portion of the
Prairie Pothole Region of North America as it was a historically important area
within this vital region for waterbirds, but it has experienced widespread
subsurface drainage. Model results indicate that unmitigated drainage
modernization is likely to have a large negative effect on spring migratory
resources for dabbling ducks and shorebirds and minimal effect on diving ducks.
Water quality wetland installations are likely to provide habitat for dabbling
and diving ducks, but wetland installation is unlikely to completely offset
habitat losses for dabbling ducks and shorebirds. Drainage modernization aside,
our results indicate that water quality wetlands can address several
environmental issues associated with agricultural expansion and intensification
by improving water quality and providing wetland resources for waterbirds and
other organisms. Field-scale research is needed to validate these results.