Understanding the complex dynamics shown by ecological and evolutionary systems has led to the use of a diversity of modelling approaches, including mathematical models, data-driven approaches and simulation. Frontiers in Ecology and Evolution is proud to introduce a new series of collections, inspired by our Models in Ecology and Evolution section.
The science behind conservation and restoration ecology has never been more important to tackle the increasing loss of global biodiversity. Models in Conservation and Restoration Ecology welcomes manuscripts that focus on implementing, using and evaluating models, spanning approaches from conceptual models through computer simulation to models that describe data.
We also welcome manuscripts that focus on the theoretical basis of conservation and restoration ecology questions (focused on preventing the destruction and degradation of ecosystems and habitats, avoiding further loss of biodiversity, while making sure that existing damages can be repaired and mitigated).
Research published in this collection might include studies that:
• Use models (mathematical, empirical or simulation) to describe and understand fundamental processes linked to conservation /restoration
• Describe and apply conservation/restoration management models
• Present innovative approaches, including statistical packages/functions, for model development, evaluation and communication
• Use population and community models that describe species of conservation concern
• Develop ecosystem dynamics models that describe energy and nutrient flow that impacts restoration of critical habitat
• Use GIS models to describe the current state of habitats or forecast loss in habitat that supports biodiversity
{Authors may be asked to make reproducible code used to conduct their research available. If so, this code should be clearly indicated in the Materials and Methods section, and where possible, uploaded to an online repository (such as github or code ocean) providing a global persistent link/identifier. You can read our full data and code policies in our Author Guidelines.}
Understanding the complex dynamics shown by ecological and evolutionary systems has led to the use of a diversity of modelling approaches, including mathematical models, data-driven approaches and simulation. Frontiers in Ecology and Evolution is proud to introduce a new series of collections, inspired by our Models in Ecology and Evolution section.
The science behind conservation and restoration ecology has never been more important to tackle the increasing loss of global biodiversity. Models in Conservation and Restoration Ecology welcomes manuscripts that focus on implementing, using and evaluating models, spanning approaches from conceptual models through computer simulation to models that describe data.
We also welcome manuscripts that focus on the theoretical basis of conservation and restoration ecology questions (focused on preventing the destruction and degradation of ecosystems and habitats, avoiding further loss of biodiversity, while making sure that existing damages can be repaired and mitigated).
Research published in this collection might include studies that:
• Use models (mathematical, empirical or simulation) to describe and understand fundamental processes linked to conservation /restoration
• Describe and apply conservation/restoration management models
• Present innovative approaches, including statistical packages/functions, for model development, evaluation and communication
• Use population and community models that describe species of conservation concern
• Develop ecosystem dynamics models that describe energy and nutrient flow that impacts restoration of critical habitat
• Use GIS models to describe the current state of habitats or forecast loss in habitat that supports biodiversity
{Authors may be asked to make reproducible code used to conduct their research available. If so, this code should be clearly indicated in the Materials and Methods section, and where possible, uploaded to an online repository (such as github or code ocean) providing a global persistent link/identifier. You can read our full data and code policies in our Author Guidelines.}