6  Collapse definition

According to Braun & Bezada (2013) and Ramírez et al. (2020) there is historical evidence of five or six glaciers or ice patches in the Cordillera de Mérida in the last 150 years, with earliest records dating back to 1864 (from paintings) and 1886 (from scientific literature). All but one have disappeared and can be considered collapsed due to the complete absence of permanent snow or ice:

In the cases of Pico Mucuñuque and Pico Bolívar, small remnants of ice were considered ‘static’ or extinct glaciers due to the absence of dynamic processes of ice accumulation. However, prospective microbiological studies in Pico Bolivar (Rondón et al., 2016, sampled ca. six years before its complete disappearance) and Pico Humboldt (Ball et al., 2014) suggest similar micro-biotas regardless of the size of the remaining ice substrate.

Thus we consider that the complete disappearance of permanent snow and ice is the best indicator of collapse.

Tropical glaciers are very sensitive to changes in climate, thus the evaluation of climate variables can help us infer the temporal changes in glacier conditions leading to their collapse. In the Cordillera de Mérida the equilibrium-line altitude (ELA; the elevation of the dividing line between the glacier accumulation and ablation areas) and the atmospheric freezing level height (FLH; the altitude of the 0°C isotherm) have been used as indicators of change in glacier extent (Polissar et al., 2006; Braun & Bezada, 2013). The increase in ELA or FLH reduces the available area for long-term glacier persistence, and a collapse threshold can be set according to peak height or the maximum elevation of the snow accumulation.

We also use an indirect approach to project the probability of persistence of Tropical glacier ecosystems into the future by means of correlative models of environmental suitability (Ferrer-Paris et al. in prep.). In this case the bioclimatic conditions of areas with and without glaciers are compared using a machine learning algorithm and a probability or suitability index is produced. This index can be calibrated with existing data to find optimal classification thresholds for discriminating presence and absence of the glacier under current conditions, and the model is then used to predict future suitability. In this case, the classification threshold is assumed to represent a collapse threshold.