Roberto Salguero‐Gómez

The paper develops a nonlinear feedback model to assess selection pressures on kin effects in human populations, finding negative sensitivity of fitness metrics to kin presence on child mortality.

The paper develops a model showing that depredation by predators can stabilize ecological-economic systems and improve economic outcomes by altering population dynamics and feedback loops.

The paper shows that long-term liana infestation reduces tree height and crown size, indicating lasting architectural changes rather than pre-existing susceptibility.

The paper introduces a physics-informed hybrid deep learning model for spatiotemporal rice disease prediction, improving accuracy and interpretability using multi-source data.

This paper introduces S-elasticity, a second-order elasticity measure to analyze nonlinear fitness responses to vital rate perturbations in ecology and evolution.

The paper uses stochastic simulations of population models to show life history traits predict how population structure influences population growth rate under environmental variability.

This paper assesses the risk of functional extinction for the spinetail devil ray and shows that integrated bycatch mitigation and nursery area protection are needed for population recovery.

The paper shows that demographic compensation in alpine grassland species buffers population decline under heavy grazing, supporting the Intermediate Disturbance Hypothesis at the population level.

The paper examines how inflation variability and persistence affect demographic buffering in humans across 32 countries, finding increased stochastic sensitivity but no adverse effects on buffering capacity.

This study analyzes how resilience is defined and measured across 594 ecological studies, finding that while metrics vary, most studies use a shared set of six quantitative dimensions.

This study predicts contrasting habitat changes for two Himalayan plant species under climate change scenarios, showing that narrow-niche species face greater habitat loss than broader-tolerant ones.

The paper uses Bayesian models to show that population responses to environmental stochasticity vary widely and are driven by survival-reproduction trade-offs and aridity.

The paper integrates repeat LiDAR data with Integral Projection Models (IPMs) to model forest dynamics, revealing distinct growth responses of eucalypt trees to environmental factors.

This study identifies climate-induced tipping points in mutualistic ecological networks under global warming, showing three phases of species diversity and the impact of warming rate on ecosystem resilience.

This paper introduces a method using Google Earth imagery and deep learning to retrospectively analyze long-term demographic data of invasive plants, showing success in detecting and tracking population dynamics over decades.

This study shows that stage-dependent interactions have limited impact on predictive accuracy of community models when stage structure is stable, even under strong stage dependence.

This study tracks the population recovery and habitat preferences of the Sino-Mongolian beaver and assesses future climatic vulnerability using historical and projected data.

The paper introduces an elasticity-consistent aggregator for Leslie matrix population models, improving accuracy in demographic parameter comparisons across different model complexities.

Across 109,626 wood density records from 16,829 plant species (GWDD v.2), intraspecific variation explains 15% of global variance, tracks interspecific environmental gradients at 20-30% magnitude, and limits single-plant predictability.

The paper creates a high-resolution global map of wood density using species and vegetation data, showing improved accuracy and a wider density range than previous estimates.

The paper uses LiDAR and hyperspectral data to model forest recovery after fires, finding that fire frequency may reduce resilience in Picea mariana stands.

This study examines genetic diversity and population structure of pedunculate oaks in Wytham Woods, finding weak population structure and some inbreeding in young plantations.

The paper examines how interactions between six anthropogenic threats affect functional and phylogenetic diversity in Testudines and Crocodilia, finding synergistic effects when diseases or invasive species interact with other threats.

The study examines how individual heterogeneity affects the life history of European mistletoe, finding that parasitic plants do not escape life history constraints seen in non-parasitic plants.

The paper tests the social buffering hypothesis across 66 animal species, finding social species have lower demographic sensitivity to environmental variability, especially in unpredictable climates.

The paper shows current resilience estimates fail to account for long-term environmental shifts, highlighting the need to consider resource allocation between survival and reproduction.

This study links increased Arctic extreme climatic events to negative fitness effects on local biota, showing significant impacts on angiosperms and chordates.

This study uses a stochastic model to show that climate change and harvesting both threaten the viability of a South African succulent, with harvesting being more impactful, especially when combined with climate change.

The paper models short- and long-term responses of grassland functional groups to precipitation extremes using stage-structured community models and pseudospectral theory.

This study shows that lower inflation environments lead to higher stochastic population growth rates, driven by better survival and fertility at older ages and later reproductive years.