| Kategorie |
Textpublikation |
| Referenztyp |
Zeitschriften |
| DOI |
10.1111/2041-210x.70281
|
Lizenz  |
|
| Titel (primär) |
Accounting for spatial interactions in the upscaling of ecosystem services |
| Autor |
Boesing, A.L.; Le Provost, G.; Neyret, M.; Linstädter, A.; Muro, J.; Müller, J.; Jung, K.; Fischer, M.; Lange, M.; Dubovyk, O.; Magdon, P.; Bolliger, R.; Leimer, S.; Boch, S.; Renner, S.; Kleinebecker, T.; Hamer, U.; Klaus, V.H.; Wilcke, W.; Manning, P. |
| Quelle |
Methods in Ecology and Evolution |
| Erscheinungsjahr |
2026 |
| Department |
RS |
| Sprache |
englisch |
| Topic |
T5 Future Landscapes |
| Supplements |
Supplement 1 |
| Keywords |
causal inferences; ecosystem services mapping; landscape processes; scaling up; spatial planning; statistical modelling |
| Abstract |
- Maps of ecosystem service (ES) supply are frequently
used to guide spatial planning, policymaking and ecosystem management.
However, these are typically based upon coarse land-cover proxies. This
approach lacks a strong mechanistic basis and neglects spatial
biodiversity dynamics and interactions among landscape properties that
can modify ES provision.
- We present an analytical framework for ES upscaling
that incorporates spatial interactions between landscape properties,
which determine ES supply. The resulting models can be viewed as a
spatially informed ES production function. Key aspects of our synthetic
framework include (i) the systematic assessment of multiple drivers
across many levels of abiotic and biotic organization to formulate the
statistical ES production function, (ii) the inclusion of spatial
interactions with the surrounding environment into the ES production
function and (iii) the use of expert input to inform ES production
functions.
- We demonstrate the approach using two example ES from
German grasslands: biodiversity conservation and water supply. We show
that the inclusion of spatial interactions in the upscaling model
improved model predictions by 15%–33%, depending on the ES evaluated. In
addition, inclusion of spatial interactions led to reduced error
associated with the upscaled estimates.
- By overcoming several shortcomings of existing
upscaling approaches, we generate maps of ES supply that can more
reliably inform spatial planning. Further, the underlying models allow
for simulation of changes in the drivers of ES supply and estimation of
respective outcomes. These advantages have the potential to better link
detailed local-scale ecological understanding and land management with
large-scale ES supply mapping, and thus better inform decision making.
|
Boesing, A.L., Le Provost, G., Neyret, M., Linstädter, A., Muro, J., Müller, J., Jung, K., Fischer, M., Lange, M., Dubovyk, O., Magdon, P., Bolliger, R., Leimer, S., Boch, S., Renner, S., Kleinebecker, T., Hamer, U., Klaus, V.H., Wilcke, W., Manning, P. (2026):
Accounting for spatial interactions in the upscaling of ecosystem services
Methods Ecol. Evol. 10.1111/2041-210x.70281 |
