Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.3390/environments13100536 |
Licence  |
|
| Title (Primary) | A trait-based framework for monitoring forest land use intensity with remote sensing: a conceptual review |
| Author | Lausch, A.
; Borg, E.; Dong, X.; Jung, A.; Pause, M.; Selsam, P.; Zhou, T.; Bumberger, J.
|
| Source Titel | Environments |
| Year | 2026 |
| Department | CLE; MET; iDiv |
| Volume | 13 |
| Issue | 10 |
| Page From | art. 536 |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Keywords | forest management intensity; forest traits; Earth Observation; forest ecosystem monitoring; ecological indicators; Artificial Intelligence; multi-sensor data fusion; Knowledge Graphs |
| Abstract | Forest Land Use Intensity (F-LUI) is
a multidimensional and dynamic property of forest ecosystems that
cannot be directly observed by Remote Sensing (RS). Existing approaches
commonly quantify individual management activities, forest attributes or
ecological responses and therefore capture only specific dimensions of
forest-use intensity. This concept-driven narrative review proposes a
trait-based conceptual framework in which forest traits constitute the
common observational interface linking anthropogenic forest use,
ecosystem responses and RS observations. Based on this principle forest
traits and their spatial, temporal and functional expressions are
interpreted within six complementary F-LUI indicator families: Trait,
Genesis, Structure, Taxonomy, Function and Socio-economics. Rather than
defining a universal F-LUI index, the framework provides a
multidimensional, sensor-independent architecture for integrating RS
with in situ observations, forest inventories, management information
and environmental data. Emerging approaches including Artificial
Intelligence (AI) and Foundation Models, multi-sensor data fusion,
semantic technologies, Knowledge Graphs and Digital Twins may support
its operationalisation. Key challenges remain in standardisation,
uncertainty quantification, attribution of management effects and
transferability across forest types, management regimes and spatial and
temporal scales. The proposed framework provides an open and extensible
basis for harmonised, reproducible and operational trait-based
monitoring of F-LUI. |
| Lausch, A., Borg, E., Dong, X., Jung, A., Pause, M., Selsam, P., Zhou, T., Bumberger, J. (2026): A trait-based framework for monitoring forest land use intensity with remote sensing: a conceptual review Environments 13 (10), art. 536 10.3390/environments13100536 |
|