Where will the change come from? Identifying decision-relevant factors in future Land Use and Cover Change (Lucc) scenarios to support planning under uncertainty
Bibliographic Data
| ID | 7989984 |
|---|---|
| Authors | Orlando Roman (0000-0003-3366-2169), Bryan T Adey (0000-0002-4932-5901), Benjamin Black (0000-0002-8113-2114), Emma Zeindl (0009-0001-1203-8925) |
| Year | 2025 |
| Volume | 176 |
| Pages | 103751-103751 |
| Publication date | 2025-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Futures (JOURNAL) |
| Journal identifiers | ISSN: 0016-3287 • E-ISSN: 1873-6378 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.futures.2025.103751 |
| OpenAlex | W4417213301 |
| Language | EN |
| References cited | 72 |
Classification And Regression Trees
Thinking inside the box
Finding pathways to national-scale land-sector sustainability
Exploratory Modeling for Policy Analysis
Land-use change trajectories up to 2050
The emergence of land change science for global environmental change and sustainability
A multi-objective Markov Chain Monte Carlo cellular automata model
Modeling urban sprinkling with cellular automata
Beyond land cover change
Uncertainty in the difference between maps of future land change scenarios
Exploratory modeling for analyzing coupled human-natural systems under uncertainty
Challenges for land system science
Exploring potential futures
The application of ecosystem assessments in land use planning
Contributions of local Lucc spatially explicit scenarios for water management
Participatory mapping in exploratory scenario planning
Cellular Automata Modeling of Land-Use/Land-Cover Dynamics
Modelling and prediction in a complex world
Land system science and sustainable development of the earth system
Visually-Driven Urban Simulation
| Citation velocity | historical |
|---|---|
| Highly cited | No |