Published January 19, 2022
| Version 1
Dataset
Open
Resilience estimates of Amazon and Congo rainforests based on mean annual precipitation and root zone storage capacity
Authors/Creators
- 1. Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
Description
Resilience refers to the capacity of the ecosystem to absorb perturbations and remain in its native stable state. Here, we quantified forest resilience of South American and African ecosystems using mean annual precipitation and root zone storage capacity (2000-2019). We adopted Hirota et al. (2011) methodology for calculating resilience using logistic regression. This logistic regression predicts the probability of forest (tree cover > 50%) as a function of the independent variable. The predicted resilience estimates range between 0 to 1, where 1 represents the highest probability of finding forest – interpreted as highly resilient forest ecosystems.
For more information, check: https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.16115
Notes
'P' refers to Mean Precipitation (mm/year)
'Sr' refers to Root zone storage capacity (mm)
'SA' refers to South America
'AF' refers to Africa
Files
Resilience(P+Sr)_AF.tif
Additional details
Related works
- Is supplement to
- Journal article: 10.1111/gcb.16115 (DOI)
References
- Singh, C., van der Ent, R., Wang‐Erlandsson, L., & Fetzer, I. (2022). Hydroclimatic adaptation critical to the resilience of tropical forests. Global Change Biology.
- Hirota, M., Holmgren, M., Van Nes, E. H., & Scheffer, M. (2011). Global resilience of tropical forest and savanna to critical transitions. Science, 334(6053), 232-235.