Change search
ReferencesLink to record
Permanent link

Direct link
Protected areas in a landscape dominated by logging - A connectivity analysis that integrates varying protection levels with competition-colonization tradeoffs
Stockholm University, Faculty of Science, Stockholm Resilience Centre.
Stockholm University, Faculty of Science, Stockholm Resilience Centre.ORCID iD: 0000-0002-8218-1153
2013 (English)In: Biological Conservation, ISSN 0006-3207, E-ISSN 1873-2917, Vol. 160, 279-288 p.Article in journal (Refereed) Published
Abstract [en]

Conservation planning is challenging in landscapes where reoccurring habitat destruction and subsequent recovery affect metapopulation persistence, because different species respond differently to landscape change. By building on a graph-theoretical modeling framework, we here develop a connectivity model of how varying levels of area protection and unprotected areas predetermined for destruction affect species differently depending on (1) their tradeoff in colonization versus habitat utilization ability and (2) their maximum dispersal ability. We apply our model to 20,000 patches of old pine forest in northern Sweden, which host many threatened species but are scattered in a landscape dominated by intensive forestry. Unprotected mature forests stands predestined for logging are treated as adequate but temporarily available habitat for colonization specialists, whereas the same stands are assumed to, at best, serve only as intermediate stepping-stones for habitat specialists as they disperse between long-standing forests in protected areas. Our results show that the effect of habitat fragmentation on metapopulation persistence differs greatly not only depending on the dispersal distance of a particular species, but also on how well it utilizes habitat patches of different longevity. Such traits are discussed with respect to the spatiotemporal planning of habitat protection. Also, we suggest that the negative impacts of logging on biodiversity may be reduced if forestry practice is adjusted to better account for the ecological values of maturing production stands, through spatially explicit modeling of connectivity and of complementarity in the protection gradient.

Place, publisher, year, edition, pages
2013. Vol. 160, 279-288 p.
Keyword [en]
Protected area, Fragmentation, Dispersal, Network, Graph theory, Planning, Disturbance
National Category
Environmental Sciences Ecology
URN: urn:nbn:se:su:diva-92667DOI: 10.1016/j.biocon.2013.01.016ISI: 000320684700031OAI: diva2:640752


Available from: 2013-08-14 Created: 2013-08-14 Last updated: 2014-11-07Bibliographically approved
In thesis
1. Spatial complexity and fit between ecology and management: Making sense of patterns in fragmented landscapes
Open this publication in new window or tab >>Spatial complexity and fit between ecology and management: Making sense of patterns in fragmented landscapes
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Avoiding the negative effects of habitat fragmentation on biodiversity is especially challenging when also the management institutions are spatially and administratively distributed. This doctoral thesis introduces five case studies that investigate ecological, social and social-ecological relations in fragmented landscapes. I present new approaches in which research and governance can detect and manage mismatches between landscape ecology and planning. The case studies include urban and forested landscapes where an intense land-use is limiting the connectivity, i.e., the potential for many species to disperse between the remaining patches of habitat. Graph-theoretic (network) models are applied to map connectivity patterns and to estimate the outcome for dispersing species at the patch level and for the whole study system. In particular, the network models are applied to evaluate the spatial complexity and the potential mismatches between ecological connectivity and geographically distributed management institutions like protected areas and municipalities. Interviews with municipal ecologists complement the spatial analysis; revealing some problems and ways forward regarding the communication and integration of ecological knowledge within local spatial-planning agencies. The results also show that network models are useful to identify and communicate critical ecological and social-ecological patterns that call for management attention. I suggest some developments of network models as to include interactions between species and across governance levels. Finally, I conclude that more effort is needed for network models to materialize into ecological learning and transformation in management processes.

Place, publisher, year, edition, pages
Stockholm: Stockholm Resilience Centre, Stockholm University, 2013. 30 p.
Connectivity; Conservation; Dispersal; Ecological knowledge; Ecology; Forest; Fragmentation; Graph theory; Institutional fit; Landscape; Management; Metapopulation; Municipal ecologist; Network; Planning; Protected area; Scale mismatch; Social-Ecological; Urban; Wetland
National Category
Research subject
Natural Resources Management
urn:nbn:se:su:diva-97618 (URN)978-91-7447-834-1 (ISBN)
Public defence
2014-01-21, De Geersalen, Geovetenskapens hus, Svante Arrhenius väg 14, Stockholm, 13:00 (English)

At the time of the doctoral defence the following papers were unpublished and had a status as follows: Paper 1: Manuscript. Paper 2: Manuscript.

Available from: 2013-12-29 Created: 2013-12-16 Last updated: 2014-11-07Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Bergsten, ArvidBodin, Örjan
By organisation
Stockholm Resilience Centre
In the same journal
Biological Conservation
Environmental SciencesEcology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 65 hits
ReferencesLink to record
Permanent link

Direct link