Bailly swamps

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Central Africa > Republic of the Congo > Bailly swamps

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Summary

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  • Central chimpanzees (Pan troglodytes troglodytes) & Western lowland gorillas (Gorilla gorilla gorilla) are present in Bailly swamps.
  • It has been estimated that 4,988 (95% CI 2,466-10,086) gorillas and 2,127 (95% CI 1,134-3,989) chimpanzees occur in the site.
  • The great ape population trend is unknown.
  • Main threats include poaching.
  • The site benefits from law enforcement and anti-poaching patrols conducted in the adjacent Lac Télé Community Reserve.


Site characteristics

Table 1. Basic site information for Bailly swamps

Species Gorilla gorilla gorilla, Pan troglodytes troglodytes
Area 3770 km²
Coordinates Lat: 1.951998 , Lon: 16.866552
Type of site Non-protected area
Habitat types Subtropical/tropical swamp forest
Type of governance

IUCN habitat categories Site designations

Ape status

Table 2. Ape population estimates reported for Bailly swamps

Species Year Abundance estimate (95% CI) Density estimate [ind./ km²] (95% CI) Encounter rate (nests/km) Area Method Source Comments A.P.E.S. database ID
Gorilla gorilla gorilla 2006 4,988 (2,466-10,086) Bailly swamps Line transects Stokes et al. 2010
Pan troglodytes troglodytes 2006 2,127 (1,134-3,989) Bailly swamps Line transects Stokes et al. 2010


Threats

Table 3. Threats to apes reported for Bailly swamps

Category Specific threats Threat level Description Year of threat
1 Residential & commercial development Unknown
2 Agriculture & aquaculture Unknown
3 Energy production & mining Unknown
4 Transportation & service corridors Unknown
5 Biological resource use 5.1 Hunting & collecting terrestrial animals Present (severity unknown) Poaching present in the area (Stokes et al. 2010). 2010-Ongoing
6 Human intrusions & disturbance Unknown
7 Natural system modifications Unknown
8 Invasive & other problematic species, genes & diseases Unknown
9 Pollution Unknown
10 Geological events Absent
11 Climate change & severe weather Unknown
12 Other threat Absent

IUCN Threats list

Conservation activities

The site benefits from law enforcement and anti-poaching patrols conducted in the adjacent Lac Télé Community Reserve (Stokes et al. 2010).


Challenges

Table 5. Challenges reported for Bailly swamps

Challenges Specific challenges Source Year(s)
Not reported


Enablers

Table 6. Enablers reported for Bailly swamps

Enablers Specific enablers Source Year(s)
1 Site management
2 Resources and capacity
3 Engaged community
4 Institutional support
5 Ecological context
6 Safety and stability


Research activities

Documented behaviours

Table 7. Behaviours documented for Bailly swamps

Behavior Source
Not reported


Exposure to climate change impacts

As part of a study on the exposure of African great ape sites to climate change impacts, Kiribou et al. (2024) extracted climate data and data on projected extreme climate impact events for the site. Climatological characteristics were derived from observation-based climate data provided by the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP, www.isimip.org). Parameters were calculated as the average across each 30-year period. For 1981-2010, the EWEMBI dataset from ISIMIP2a was used. For the two future periods (2021-2050 and 2071-2099) ISIMIP2b climate data based on four CMIP5 global climate models were used. For future projections, two Representative Concentration Pathways (RCP) were used. RCP 2.6 is a scenario with strong mitigation measures in which global temperatures would likely rise below 2°C. RCP 6.0 is a scenario with medium emissions in which global temperatures would likely rise up to 3°C by 2100. For the number of days with heavy precipitation events, the 98th percentile of all precipitation days (>1mm/d) was calculated for the 1979-2013 reference period as a threshold for a heavy precipitation event. Then, for each year, the number of days above that threshold was derived. The figures on temperature and precipitation anomaly show the deviation from the mean temperature and mean precipitation for the 1979-2013 reference period.

The estimated exposure to future extreme climate impact events (crop failure, drought, river flood, wildfire, tropical cyclone, and heatwave) is based on a published dataset by Lange et al. 2020 derived from ISIMIP2b data. The same global climate models and RCPs as described above were used. Within each 30-year period, the number of years with an extreme event and the average proportion of the site affected were calculated (Kiribou et al. 2024).

Table 8. Estimated past and projected climatological characteristics in Bailly swamps

Value 1981-2010 2021-2050, RCP 2.6 2021-2050, RCP 6.0 2071-2099, RCP 2.6 2071-2099, RCP 6.0
Mean temperature [°C] 25 26.2 26 26.5 27.5
Annual precipitation [mm] 1549 1607 1601 1621 1598
Max no. consecutive dry days (per year) 16 10.6 11.3 9.8 12.3
No. days with heavy precipitation (per year) 6.9 10.8 10.8 10.9 11.9


Table 9. Projected exposure of apes to extreme climate impact events in Bailly swamps

Type No. of years with event (2021-2050, RCP 2.6) % of site exposed (2021-2050, RCP 2.6) No. of years with event (2021-2050, RCP 6.0) % of site exposed (2021-2050, RCP 6.0) No. of years with event (2070-2099, RCP 2.6) % of site exposed (2070-2099, RCP 2.6) No. of years with event (2070-2099, RCP 6.0) % of site exposed (2070-2099, RCP 6.0)
Crop failure 12.5 0 10 0 7 0 26 0
Drought 0 0 0 0 0 0 0.5 16.67
Heatwave 7 58.06 6.5 51.11 8 66.67 13 80.56
River flood 0.75 0.16 2 0.37 2 1.12 1.25 0.9
Tropical cyclone 0 0 0 0 0 0 0 0
Wildfire 30 0.47 30 0.51 29 0.46 29 0.42


  • Precipitation anomaly in Bailly Swamps
  • Temperature anomaly in Bailly Swamps

External links

Relevant datasets

References

Kiribou, R., Tehoda, P., Chukwu, O., Bempah, G., Kühl, H. S., Ferreira, J., ... & Heinicke, S. (2024). Exposure of African ape sites to climate change impacts. PLOS Climate, 3(2), e0000345.

Stokes EJ, Strindberg S, Bakabana PC, Elkan PW, Iyenguet FC, Madzoké B... & Rainey, H.J. (2010). Monitoring great ape and elephant abundance at large spatial scales: measuring effectiveness of a conservation landscape. PLoS ONE 5(4), e10294. https://doi.org/10.1371/journal.pone.0010294


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