The global increase in demand for wood products, calls for a more sustainable
management of forests to optimize both the production of wood and the conservation
of forest biodiversity. In this paper, we evaluate the status and future trends of forest
birds in Central European forests, assuming different forest management scenarios
that to a varying degree respond to the demand for wood production. To this end,
we use niche models (Boosted Regression Trees and Generalized Linear Models) to
model the responses of 15 forest bird species to predictors related to forest stand (e.g.,
stand volume of specific tree species) and landscape structure (e.g., percentage cover),
and to climate (bioclimatic variables). We then define five distinct forest management
scenarios, ranging from set-aside to productivity-driven scenarios, project them 100
years into the future, and apply our niche models into these scenarios to assess the
birds’ responses to different forest management alternatives. Our models show that
the species’ responses to management vary reflecting differences in their ecological
niches, and consequently, no single management practice can benefit all species if
applied across the whole landscape. Thus, we conclude that in order to promote the
overall forest bird species richness in the study region, it is necessary to manage the
forests in a multi-functional way, e.g., by spatially optimizing the management practices
in the landscape.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:89480 |
| Date | 02 February 2024 |
| Creators | Leitao, Pedro J., Torano Caicoya, Astor, Dahlkamp, Andreas, Guderjan, Laura, Griesser, Michael, Haverkamp, Paul J., Norden, Jenni, Snäll, Tord, Schröder, Boris |
| Publisher | Frontiers Media S.A. |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:article, info:eu-repo/semantics/article, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 786556 |
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