Forest-type specialization strongly predicts avian responses to tropical agriculture. Issue 1913 (23rd October 2019)
- Record Type:
- Journal Article
- Title:
- Forest-type specialization strongly predicts avian responses to tropical agriculture. Issue 1913 (23rd October 2019)
- Main Title:
- Forest-type specialization strongly predicts avian responses to tropical agriculture
- Authors:
- Socolar, Jacob B.
Wilcove, David S. - Abstract:
- Abstract : Species' traits influence how populations respond to land-use change. However, even in well-characterized groups such as birds, widely studied traits explain only a modest proportion of the variance in response across species. Here, we show that associations with particular forest types strongly predict the sensitivity of forest-dwelling Amazonian birds to agriculture. Incorporating these fine-scale habitat associations into models of population response dramatically improves predictive performance and markedly outperforms the functional traits that commonly appear in similar analyses. Moreover, by identifying habitat features that support assemblages of unusually sensitive habitat-specialist species, our model furnishes straightforward conservation recommendations. In Amazonia, species that specialize on forests along a soil–nutrient gradient (i.e. both rich-soil specialists and poor-soil specialists) are exceptionally sensitive to agriculture, whereas species that specialize on floodplain forests are unusually insensitive. Thus, habitat specialization per se does not predict disturbance sensitivity, but particular habitat associations do. A focus on conserving specific habitats that harbour highly sensitive avifaunas (e.g. poor-soil forest) would protect a critically threatened component of regional biodiversity. We present a conceptual model to explain the divergent responses of habitat specialists in the different habitats, and we suggest that similar patternsAbstract : Species' traits influence how populations respond to land-use change. However, even in well-characterized groups such as birds, widely studied traits explain only a modest proportion of the variance in response across species. Here, we show that associations with particular forest types strongly predict the sensitivity of forest-dwelling Amazonian birds to agriculture. Incorporating these fine-scale habitat associations into models of population response dramatically improves predictive performance and markedly outperforms the functional traits that commonly appear in similar analyses. Moreover, by identifying habitat features that support assemblages of unusually sensitive habitat-specialist species, our model furnishes straightforward conservation recommendations. In Amazonia, species that specialize on forests along a soil–nutrient gradient (i.e. both rich-soil specialists and poor-soil specialists) are exceptionally sensitive to agriculture, whereas species that specialize on floodplain forests are unusually insensitive. Thus, habitat specialization per se does not predict disturbance sensitivity, but particular habitat associations do. A focus on conserving specific habitats that harbour highly sensitive avifaunas (e.g. poor-soil forest) would protect a critically threatened component of regional biodiversity. We present a conceptual model to explain the divergent responses of habitat specialists in the different habitats, and we suggest that similar patterns and conservation opportunities probably exist for other taxa and regions. … (more)
- Is Part Of:
- Proceedings. Volume 286:Issue 1913(2019)
- Journal:
- Proceedings
- Issue:
- Volume 286:Issue 1913(2019)
- Issue Display:
- Volume 286, Issue 1913 (2019)
- Year:
- 2019
- Volume:
- 286
- Issue:
- 1913
- Issue Sort Value:
- 2019-0286-1913-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-10-23
- Subjects:
- birds -- conservation -- Amazon -- forest -- habitat -- traits
Biology -- Periodicals
570.5 - Journal URLs:
- https://royalsocietypublishing.org/journal/rspb ↗
- DOI:
- 10.1098/rspb.2019.1724 ↗
- Languages:
- English
- ISSNs:
- 0962-8452
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 24973.xml