23 Resource Potential: Fishing Strategies and System Productivity – Fishing in Balance

Data Type: Tabular Data (within eco_indicators)

Spatial Scope: Maritimes

Duration 1970-2022

Source: Bundy et al. 2017

23.1 Introduction to Indicator

Fishing in Balance describes how “balanced” a fishery is in ecological terms, relating fisheries catches and the trophic level of catches with the transfer efficiency of the community in relation to some baseline year (here, 1968-1970) (Bundy, Gomez, and Cook 2017; Pauly, Christensen, and Walters 2000). Fishing in balance captures the impact of fishing on system productivity.

Positive trends in Fishing in Balance indicate that a fishery is expanding, that bottom-up effects are occurring in the community, or that catches are higher than expected. Alternatively, negative fishing in balance trends suggest a deterioration of underlying food webs, that fishing pressure is impacting ecosystem function, or that a system is less productive as a result of fishing activity (Cury et al. 2005; Bundy, Gomez, and Cook 2017).

23.2 View Data


library(tidyr)
library(plotly)
library(stringr)

plotly_df <- data@data %>% inner_join(global_cols3)

p <- plot_ly()

regions <- unique(plotly_df$region)

for(r in regions){

  df_sub <- plotly_df %>% filter(region == r)

  group_name <- unique(df_sub$region_group)
  
  linewidth <- unique(df_sub$linewidth)
  linetype <- unique(df_sub$linetype)

  p <- p %>%
    add_lines(
      data = df_sub,
      x = ~year,
      y = ~FishinginBalance_value,
      name = r,
      legendgroup = group_name,
      legendgrouptitle = list(text =
        ifelse(group_name == "ESS",
               "Eastern Scotian Shelf Zones",
               "Western Scotian Shelf Zones"
               )
      ),
      line = list(color = unique(df_sub$color),
                  dash = linetype,
                  width = linewidth),
      text = ~paste0("<b>",region,"</b>: ",round(FishinginBalance_value,2),"°C"),
      hoverinfo = "x+text"
    )
}

p %>%
  layout(
    title = "Fishing Strategies and System Productivity",
    xaxis = list(title = "Year"),
    yaxis = list(title = "Fishing in Balance Index", fixedrange = TRUE),
    hovermode = "x unified",
    legend = list(
      tracegroupgap = 5,
      groupclick = "toggleitem",
      itemdoubleclick = FALSE
    )
  ) %>%
  config(displayModeBar = FALSE)

Figure 23.1: Fishing in Balance for all NAFO regions and Scotian Shelf regions overall. Use dropdown menu to select indicator, and click legend to toggle regions.

23.4 Relevance to Research and Stock Assessments

Decreases in Fishing in Balance detected here are consistent with previously reported trends in the Northwest Atlantic since the 1970s (Pauly, Christensen, and Walters 2000). Consistent decreases in the Fishing in Balance Index through time suggest that fishing pressure has negatively affected ecosystem productivity in the Scotian Shelf region (Bundy, Gomez, and Cook 2017).

23.5 Variable Definitions

Table 23.2: Definitions of fishing in balance variables within eco_indicators in marea.
variable description unit
year Year of trawl survey
region Region over which values are summarized
FishinginBalance_value Fishing in Balance Index

23.6 Additional Data

Fishing in Balance Index (within eco_indicators) contains data for 4VN, 4VS, 4W, 4X, ESS, and WSS. All are shown on this page, but note that NAFO divisions are nested within Scotian Shelf regions.

23.7 Get the Data

library(marea)
data('eco_indicators')
plot(eco_indicators)

References

Bundy, Alida, Catalina Gomez, and Adam M. Cook. 2017. “Guidance Framework for the Selection and Evaluation of Ecological Indicators.” Canadian Technical Report of Fisheries and Aquatic Sciences 3232. Dartmouth, Nova Scotia, Canada: Fisheries; Oceans Canada, Bedford Institute of Oceanography. https://waves-vagues.dfo-mpo.gc.ca/Library/40648886.pdf.
Cury, PM, LJ Shannon, JP Roux, GM Daskalov, Astrid Jarre, CL Moloney, and Da Pauly. 2005. “Trophodynamic Indicators for an Ecosystem Approach to Fisheries.” ICES Journal of Marine Science 62 (3): 430–42.
Pauly, Daniel, Villy Christensen, and Carl Walters. 2000. “Ecopath, Ecosim, and Ecospace as Tools for Evaluating Ecosystem Impact of Fisheries.” ICES Journal of Marine Science 57 (3): 697–706.