Ecological Network Resilience & Extinction Proxies - Updating Projections of Ecological Networks
Kusch, E.; Ordonez, A.
Show abstract
Forecasting biodiversity and functioning changes to ecosystem composition and functioning under climate change requires using multi-species approaches that explicitly consider ecological interactions. Here, we propose a framework with which to incorporate considerations of (1) localised extinction risk proxies, (2) resilience mechanisms of ecological networks, and (3) extinction cascade directionality as a driving force of ecological change. These three aspects are seldomly considered when establishing ecosystems responses to climate change and biodiversity loss. Using this framework, we demonstrate that current practices may severely underpredict ecological change measured as loss of biodiversity and change in connectedness. Our novel framework which explicitly explores two-dimensional resilience landscapes defined by network resilience mechanisms (i.e., link loss sensitivity and realisation of rewiring potential) represents the most complete toolbox for assessment of vulnerability of ecological networks to extinction cascades. Ultimately, we propose that using localised extinction proxies, explicitly quantifying ecological network resilience through link-loss sensitivity and realisation of rewiring potential, as well as simulation of bidirectional extinction cascades will lead to improved capabilities of estimating ecosystem trajectories throughout the Anthropocene.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The spatial configuration of biotic interactions shapes coexistence-area relation-ships in an annual plant community 95%
- Landscape heterogeneity buffers biodiversity of meta-food-webs under global change through rescue and drainage effects 94%
- Extinction cascades, community collapse, and recovery across a Mesozoic hyperthermal event 94%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Sahul's megafauna were vulnerable to plant-community changes due to their position in the trophic network 93%
- Megafauna decline have reduced pathogen dispersal which may have increased emergent infectious diseases 90%
- Matching the forecast horizon with the relevant spatial and temporal processes and data sources 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.