In comparison, proximity alone only led to a <10% reduction in disturbance.
We also found emergent themes in disturbance, climate work, and genetic innovation.
Simulation examples are provided to illustrate trade-offs in disturbance model design.
The control structures provide good performance for 10% changes in disturbance variables and setpoint changes.
Simulation results show important improvements in disturbance rejection, reference tracking error and control effort.
We used multi-temporal remote sensing data to assess landscape-scale changes in disturbance rates, patch size and age structure.
Linear active disturbance rejection control (ADRC) is known for its simplicity and its performance in disturbance attenuation.
In disturbance analysis, the aim is to find a controller that minimizes the loss in the presence of disturbances.
The proposed scheme is capable of adapting to slow changes in disturbance characteristics, measurement noise characteristics, and plant characteristics.
In this study system, removal of an invasive tree without fencing may actually lead to an increase in disturbance, with impacts to both biodiversity and hydrological properties.
Changes in disturbance regimes due to climate change are increasingly challenging the capacity of ecosystems to absorb recurrent shocks and reassemble afterwards, escalating the risk of widespread ecological collapse of current ecosystems and the emergence of novel assemblages1,2,3.
