| Kategorie |
Textpublikation |
| Referenztyp |
Zeitschriften |
| DOI |
10.1111/1365-2664.13943
|
Lizenz  |
|
| Titel (primär) |
An objective-based prioritization approach to support trophic complexity through ecological restoration species mixes |
| Autor |
Ladouceur, E.; McGowan, J.; Huber, P.; Possingham, H.; Scridel, D.; van Klink, R.; Poschlod, P.; Cornelissen, J.H.C.; Bonomi, C.; Jiménez-Alfaro, B. |
| Quelle |
Journal of Applied Ecology |
| Erscheinungsjahr |
2022 |
| Department |
iDiv; PHYDIV |
| Band/Volume |
59 |
| Heft |
2 |
| Seite von |
394 |
| Seite bis |
407 |
| Sprache |
englisch |
| Topic |
T5 Future Landscapes |
| Daten-/Softwarelinks |
https://doi.org/10.5061/dryad.rjdfn2zbj
https://doi.org/10.5281/zenodo.4897014 |
| Supplements |
https://besjournals.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2F1365-2664.13943&file=jpe13943-sup-0001-FigS1.pdf
https://besjournals.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2F1365-2664.13943&file=jpe13943-sup-0002-FigS2.pdf
https://besjournals.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2F1365-2664.13943&file=jpe13943-sup-0003-AppendixS1.docx |
| Keywords |
decision support, functional traits, optimization, plant traits, seed mixes, species selection, trophic networks |
| Abstract |
- Reassembling ecological communities and rebuilding
habitats through active restoration treatments require curating the
selection of plant species to use in seeding and planting mixes.
Ideally, these mixes should be assembled based on attributes that
support ecosystem function and services, promote plant and animal
species interactions and ecological networks in restoration while
balancing project constraints. Despite these critical considerations, it
is common for species mixes to be selected opportunistically. Reframing
the selection of seed mixes for restoration around ecological
objectives is essential for success but accessible methods and tools are
needed to support this effort.
- We developed a framework to optimize species seed
mixes based on prioritizing plant species attributes to best support
different objectives for ecosystem functions, services and trophic
relationships such as pollination, seed dispersal and herbivory. We
compared results to approaches where plant species are selected to
represent plant taxonomic richness, dominant species and at random. We
tested our framework in European alpine grasslands by identifying 176
plant species characteristic of the species pool, and identified 163
associated attributes affiliated to trophic relationships, ecosystem
functions and services.
- In all cases, trophic relationships, ecosystem
functions and services can be captured more efficiently through
objective-based prioritization using the functional identity of plant
species. Solutions (plant species lists) can be compared quantitatively,
in terms of costs, species or objectives. We confirm that a random draw
of plant species from the regional plant species pool cannot be assumed
to support other trophic groups and ecosystem functions and services.
- Synthesis and Applications. Our framework is
presented as a proof-of-concept to help restoration practitioners better
apply quantitative decision support to plant species selection to
efficiently meet ecological restoration outcomes. Our approach may be
tailored to any restoration initiative, habitat or restoration targets
where seeding or planting mixes will be applied in active treatments. As
global priority and resources are increasingly placed into restoration,
this approach could be advanced to help make efficient decisions for
many stages of the restoration process.
|
| dauerhafte UFZ-Verlinkung |
https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=24885 |
Ladouceur, E., McGowan, J., Huber, P., Possingham, H., Scridel, D., van Klink, R., Poschlod, P., Cornelissen, J.H.C., Bonomi, C., Jiménez-Alfaro, B. (2022):
An objective-based prioritization approach to support trophic complexity through ecological restoration species mixes
J. Appl. Ecol. 59 (2), 394 - 407 10.1111/1365-2664.13943 |
