RT info:eu-repo/semantics/article
T1 Measuring rewilding progress
A1 Rey Benayas, José María
A1 Torres, Aurora
A1 Fernández , Néstor
A1 Ermgassen, Sophus
A1 Helmer, Wouter
A1 Revilla, Eloy
A1 Saavedra, Deli
A1 Perino, Andrea
A1 Mimet, Anne
A1 Schepers, Frans
A1 Selva, Nuria
A1 Svenning, Jens-Christian
A1 Pereira, Henrique
K1 Biodiversity
K1 Ecological process
K1 Ecosystem integrity
K1 Ecosystem management
K1 Monitoring
K1 Restoration
K1 Medio Ambiente
K1 Environmental science
AB Rewilding is emerging as a promising restoration strategy to enhance the conservation status of biodiversity and promote self-regulating ecosystems whilst re-engaging people with nature. Overcoming the challenges in monitoring and reporting rewilding projects would improve its practical implementation and maximise its conservation and restoration outcomes. Here, we present a novel approach for measuring and monitoring progress in rewilding that respond to a pressing need for developing monitoring guidelines informed by the best available science. We devised a bi-dimensional framework for assessing the recovery of processes and their natural dynamics through a) decreasing human forcing on ecological processes and b) increasing natural complexity of ecosystems. The framework incorporates the reduction of material inputs and outputs associated with human management, as well as the restoration of natural stochasticity and disturbance regimes, landscape connectivity and trophic complexity. Furthermore, we provide a list of potential activities for increasing ecosystem complexity after reviewing the evidence for the effectiveness of common restoration actions. For illustration purposes, we apply the framework to three flagship restoration projects in the Netherlands, Switzerland and Argentina. This approach has the potential to broaden the scope of ecological restoration, facilitate sound decision-making and connect the science and practice of rewilding.
SN 0962-8436
YR 2019
FD 2019
LK http://hdl.handle.net/10017/41391
UL http://hdl.handle.net/10017/41391
LA eng
NO Comunidad de Madrid
DS MINDS@UW
RD 03-may-2024