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occurred immediately after the die-off. |
Several factors acting at various spatial and temporal scales |
influence seagrass recovery after a disturbance. In Tampa Bay, |
water clarity was the main driver preventing seagrass recovery |
(Greening et al., 2011), while genetic material was the limiting |
factor in the recovery of seagrass in Shark Bay, Australia |
(Nowicki et al., 2017). The sequence of events (die-off > plume |
extent > lack of SAV recovery) in Johnson suggests that the |
seagrass seascape in Johnson entered into a feedback cycle of |
degradation between seagrass cover and turbidity, preventing |
recovery (Figure 1). This cycle is common within degraded |
seagrass habitats and does not allow for seagrass to recover, |
which is evident in Johnson. A similar pattern occurred in |
seagrass beds near the Great Barrier Reef, where sediment |
plumes from dredging prevented the establishment of seagrass |
(York et al., 2015). |
Persistent algal blooms and proximity to freshwater |
inflows may also play a factor in reducing light penetration |
and preventing seagrass recovery in Florida Bay. Central |
Florida Bay experiences seasonal algal blooms originating |
Frontiers in Marine Science | www.frontiersin.org 9 July 2021 | Volume 8 | Article 633240 |
Rodemann et al. Sediment Plume and Seagrass Resilience |
from anthropogenically altered freshwater deliveries |
(Boyer et al., 2009; Briceño and Boyer, 2010) and large-scale algal |
blooms brought on by tropical storms and hurricanes (Glibert |
et al., 2009; Wahl, 2019). The seagrass die-off in the late 1980’s |
exacerbated algal blooms in this region, leading to negative |
effects on seagrass recovery (Robblee et al., 1991; Fourqurean and |
Robblee, 1999). However, Hall et al. (2021) found no evidence of |
algal blooms depleting sources of seagrass recruits after the 1980’s |
die-off. Furthermore, freshwater inflows may be affecting the |
recovery of seagrass within Florida Bay. H. wrightii, the pioneer |
seagrass species, is favored over T. testudinum in lower salinity |
conditions (Herbert et al., 2011). Rankin Basin is located closer |
to freshwater inflows than Johnson Basin. Therefore, higher |
freshwater inflows and lower salinities in Rankin Basin may have |
contributed to a more rapid recovery. Further research is needed |
to determine the variables affecting seagrass recovery within |
Florida Bay, especially considering the hydrodynamics drivers |
that interactively influenced seagrass physiology, productivity |
and patch formation. |
While Johnson Basin experienced high turbidity from the |
sediment plume right after the die-off, suspended sediment |
associated with the sediment plume did not reach Rankin until |
2 years later. This delay in disturbance may have allowed Rankin |
to begin recolonizing the benthos as illustrated by the recovery of |
seagrass cover (by mostly H. wrightii) to a BB score of 2.5 before |
the sediment plume entered Rankin. Recolonization followed |
traditional models of SAV succession, wherein macroalgae |
colonize the bare sediment and then H. wrightii replaces the |
macroalgae (Den Hartog, 1979; Zieman, 1982). Due to the |
known function of seagrass habitats for sediment stabilization |
and deposition in coastal environments (Bos et al., 2007), we |
hypothesize that the establishment of H. wrightii within Rankin |
helped stabilize the sediment. Therefore, when Hurricane Irma |
expanded the plume into Rankin, the system exhibited resistance |
to the increase in turbidity and prevented the shift into the |
degrading feedback loop shown in Figure 1. Furthermore, the |
wind may have played a role in reducing the impact of the |
sediment plume in Rankin. Southern Florida experiences strong |
easterly winds in fall and winter (Klink, 1999), which may have |
aided in removing the plume from Rankin after a couple of years. |
Western Florida Bay, including Johnson, faces a more difficult |
road to recovery. The sediment plume expanded into this region |
TABLE 4 | Analysis of variance (ANOVA) used to determine significant differences |
in (a) proportion of basin covered and (b) seagrass cover between basin and |
before and after the breakpoint. |
Variable F1,44 p |
(a) Proportion of basin covered Basin 73.2 <0.001* |
Break 150.8 <0.001* |
Basin*Break 32.8 <0.001* |
(b) Seagrass cover Basin 4.3 0.051 |
Break 6.7 0.018* |
Basin*Break 7.2 0.014* |
Shown are the variable tested (Variable), test statistic of the significance (F), the |
approximate p-values for the null hypotheses that there is no difference (p). |
Significant values are denoted with *. |
right after the 2015 die-off, preventing any SAV recovery and |
driving the system into a turbid alternative state that persisted |
through 2020 in our study. Recovery of seagrass after the dieoff in the late 1980’s might present a solution that includes |
light availability and time. Stumpf et al. (1999) mapped albedo |
throughout Florida Bay before and after the first seagrass dieoff. They found that sediment expanded into the western region |
starting in 1988 and persisted through 1997 (the duration of |
their time series), but lost intensity beginning in 1996. Once |
this loss in intensity (reduction in turbidity) reaches a certain |
threshold, benthic macroalgae can start recolonizing an area. |
Benthic macroalgae only need approximately 8–10% of surface |
irradiance to grow (Choice et al., 2014). Therefore, time may |
be the only factor required for sediment settlement to occur, |
reducing turbidity and increasing benthic light intensity to the 8– |
10% threshold needed for macroalgae recolonization. Macroalgae |
recolonization then has the potential to create a beneficial |
feedback loop, leading to increased sediment stabilization. |
If there is a source of seagrass genetic material available |
(seed reserve or connectivity to clonal sources), the sediment |
stabilization may result in seagrass recovery in Johnson and the |
rest of western Florida Bay (Austin et al., 2017). Florida Bay |
returned to pre-die-off conditions by 2012 (Hall et al., 2016), |
illustrating that the system can undergo the lengthy (15 years) |
recovery process. But it is unknown whether there are enough |
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