Resilience Indicators for Tropical Rainforests in a Dynamic Vegetation Model

Global Change Biology, Journal Year: 2024, Volume and Issue: 30(12)

Published: Dec. 1, 2024

ABSTRACT Tropical forests and particularly the Amazon rainforest have been identified as potential tipping elements in Earth system. According to a dynamical systems theory, decline forest resilience preceding shift savanna‐like biome could manifest increasing autocorrelation of biomass time series. Recent satellite records indeed exhibit such trend also show larger autocorrelation, indicative reduced resilience, drier regions. However, it is unclear which processes underlie these observational findings on scales they operate. Here, we investigate determine tropical stand‐alone, state‐of‐the‐art dynamic global vegetation model LPJmL. We find that higher dry climates than wet (approx. 0.75 vs. 0.2, for lag 10 years), qualitatively agrees with observations. By constructing version LPJmL by disabling enabling certain model, (i) this pattern associated population dynamics operating different (ii) sensitive allocation carbon pools, especially years stress. Both are highly uncertain, oversimplified or even lacking most system models. Our results indicate observed spatial variations trends indicators may be explained local physiological ecological mechanisms alone, without climate–vegetation feedbacks. In principle, consistent view responding climate change locally does not necessarily need approach one large‐scale point, although latter cannot ruled out based our findings.

Language: Английский

Precipitation sensitivity of vegetation growth in southern China depends on geological settings

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 643, P. 131916 - 131916

Published: Sept. 1, 2024

Language: Английский