China has emerged as a global front-runner in the fight against climate change, with sweeping policies aimed at curbing ...

Do you think you know which species are most vulnerable in an ecosystem? A novel analytical method developed by Italian ...

In the province of KwaZulu-Natal, there are Mazizini and Mabasa forests, regarded as sacred by local communities. In the Free ...

Background and RationaleAs the global community confronts escalating environmental crises, conventional adaptation strategies are insufficient to address ...

A new study argues that religion, politics and war affect how animals and plants in cities evolve, and the confluence of ...

Decision making is not a trivial task and its effectiveness depends on the quality of the thinking processes. We argue that the decision making process could be more effective if the decision is made ...

Technology contributes both positively and negatively to the resilience of ‘social-ecological systems’, but is not considered in depth in that literature. A technology-focused literature on ...

This study explores the determinants of public environmental satisfaction through the lens of socio-ecological systems theory, focusing on three analytical dimensions: the microsystem, mesosystem, and ...

We assess the performance of a group of exchange-correlation functionals for predicting the secondary structure of peptide chains, up to a new many-body dispersion corrected hybrid density functional, ...

This work describes a development process of a Stewart platform digital twin based on its multibody simulation model created in Matlab/Simulink. Although the multibody simulation model is useful in ...

This model establishes that interventions will have greater and better effects when acting on the distal layers. From the socio-ecological model, the various levels of influence are examined to find ...

A statistical model is autoregressive if it predicts future values based on past values (i.e., predicting future stock prices based on past performance).