Modeling tillage and manure application on soil phosphorous loss under climate change
Nutr Cycl Agroecosyst
https://doi.org/10.1007/s10705-022-10192-7
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ORIGINAL ARTICLE
Modeling tillage and manure application on soil
phosphorous loss under climate change
Zhaozhi Wang . Tiequan Zhang . Chin Sheng Tan .
Lulin Xue . Melissa Bukovsky . Zhiming Qi
Received: 22 June 2021 / Accepted: 6 January 2022
Ó Crown 2022
Abstract Phosphorus (P) losses from non-point
sources into receiving water bodies play a significant
role in eutrophication. Given their failure to adequately control eutrophication in the Lake Erie,
conservation recommendations for agricultural watersheds should be reconsidered, particularly under
climate change. Using the Environmental Policy
Integrated Climate model, the potential impacts on
crop yield, surface runoff, tile drainage, and relevant
dissolved reactive phosphorus (DRP) losses from
manure-amended corn-soybean rotation plots in the
Lake Erie basin were estimated for six tillage methods
with different mixing efficiencies and manure broadcast application. These were investigated under twelve
different regional and global future climate simulations. Tillage alone proved to have only a minor
impact on mean corn yield (± 2%). Climate change
led to large uncertainties under the single tillage
treatment. As a result of the combined effects of
Z. Wang T. Q. Zhang (&) C. S. Tan
Harrow Research and Development Centre, Agriculture
and Agri-Food Canada, Harrow, ON N0R 1G0, Canada
e-mail:
L. Xue M. Bukovsky
National Center for Atmospheric Research, Boulder,
CO 80307-3000, USA
Z. M. Qi
Department of Bioresource Engineering, McGill
University, Sainte-Anne-de-Bellevue,
QC, Canada
biogeochemical processes (e.g., supply) and hydrological (e.g., transport), strong negative relationships
(R2 = 0.98) were found between tillage mixing efficiency and DRP loss in surface runoff, tile drainage,
and total DRP loss. The impacts of combined manure
application (broadcast) and tillage on crop yield and
flow volume were similar as those of tillage alone.
With respect to total DRP losses, the effects of labile P
content change outweighed those of surface runoff or
tile drainage change (hydrologic). This resulted in a
change in total DRP losses ranging from - 60%
to ? 151%, with being closely correlated with
decreasing tillage mixing efficiency (R2 = 0.94) from
moldboard to no-till. Therefore, rotational tillage
should be considered for DRP loss reduction and
energy saving.
Keywords Tillage mixing efficiency Manure
broadcast Dissolved reactive P (DRP) loss Climate
change EPIC model
Introduction
Given its critical role in the prolonged eutrophication
of aquatic ecosystems, phosphorus (P) loss from
agricultural lands via surface runoff and tile drainage
to receiving water bodies has become a serious water
quality issue, especially in view of the added issues
under climate change. Non-point source P pollution
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Nutr Cycl Agroecosyst
leading to eutrophication has left the public sceptical
regarding improvements in water quality and recent
conservation efforts to reduce sediment-bound P
loadings (Smith et al. 2018). For example, lake Erie’s
cyanobacterial bloom of 2011 was the worst on record
(Daloglu et al. 2012; Michalak et al. 2013), and that of
2014 left 400,000 people without potable water (Smith
et al. 2015b). Soil P enrichment brought on by
conservation practices, compounded with climate
change, has led many to doubt whether the 40%
reduction of P loading targets announced by the
Canada-US Great Lakes Water Quality Agreement
(GLWQA) and the Canada-Ontario Agreement on
Great Lakes Water Quality and Ecosystem Health
(COA) are feasible (Jarvie et al. 2017). Accordingly,
we should reconsider the unintended consequences of
conservation recommendations (e.g., the adoption of
no-till) (Smith et al. 2018).
The mobilization of P from agricultural lands is tied
to both supply (biogeochemical, i.e., fertilizer type,
and application timing, amount and method) and
transport (hydrologic, i.e., surface runoff and tile
drainage) factors (Plach et al. 2018). Motew et al.
(2018) indicated that given the increase in precipitation events expected under climate change scenarios, a
heightened supply of manure P in the soil would likely
exacerbate water quality impairment. Similarly,
Michalak et al. (2013) noted the concurrence of
intense rainfall events and the dissolved reactive
phosphorus (DRP) loss from agricultural lands led to
Lake Erie’s harmful algal bloom of 2011. Ockenden
et al. (2017) also showed that, averaged across three
representative catchments in the UK, increased rainfall volume would be the most important contributing
factor to projected (2050s) increases in winter P losses.
Besides the impacts of climate change on regional
hydrology, the supply factor is also of serious concern.
Broadcasting fertilizer or manure without incorporation can result in P stratification, and a subsequent rise
in DRP loss in runoff (Motew et al. 2018). Stratification often comes hand-in-hand with the reduced- or
no-till field management protocols widely implemented throughout the Lake Erie basin to reduce
particulate P and soil erosion losses, but ends up
increasing DRP in runoff (Baker et al. 2017). With a
growing implementation of conservation tillage, the
perception exists that manure or fertilizer P must be
applied by broadcast to adhere to the conditions of notill (Smith et al. 2018). Jarvie et al. (2017) indicated
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that although these conservation practices reduced
particulate P transport and soil erosion, they may
unintentionally increase DRP loads. Rather than
merely accelerating soil P stratification (Bullerjahn
et al. 2016), reduced- or no-till crop field management
can accelerate the development and/or retain soil
macropores. This increases the connectivity between
the surface and subsurface via preferential flow (Jarvis
2007), thereby increasing soil surface P transport to
tile drainage by bypassing sorption/desorption processes within the soil matrix (Smith et al. 2015a).
Conventional tillage, such as moldboard plow, can
reduce buildup of P in the top soil layer, and therefore
has potential to reduce risk of DRP loss to Lake Erie
(Baker et al. 2017). It can also change water flow
pathways, altering the balance of surface runoff and
tile flow, thereby influencing P transport dynamics
(King et al. 2015).
The Environmental Policy Integrated Climate
(EPIC) model is a process-based model capable of
predicting a crop’s physiological growth process
arising under a particular crop management strategy
and its response to (sub-)daily time scale weather
variables, such as atmospheric carbon dioxide concentration (CO2), precipitation and temperature
(Schauberger et al. 2017). The EPIC model, calibrated
to local conditions, has been widely used to investigate
future climate change scenarios (Ahmed et al. 2017;
Folberth et al. 2016; Lychuk et al. 2017a; Rosenzweig
et al. 2014; Schauberger et al. 2017; Srivastava et al.
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