Comparing static versus dynamic protected areas in the Québec boreal forest

Conservation planning is often based on static mapping of species’ ranges or habitat distributions. Succession and disturbance alter, however, habitat quality and quantity through time especially under global climate and land use change scenarios; hence, static protected areas may not ensure habitat persistence and species survival. Here, we examined the relative merits of static and dynamic (floating) protected areas for the conservation of American marten (Martes americana) habitat in a dynamic boreal forest of Quebec (Canada). Forest dynamics were modeled using a spatially-explicit landscape disturbance model and protected areas were selected based on the quality and compactness of marten home ranges using MARXAN. Static protected areas were fixed in space during 200 year simulations of boreal forest dynamics, while dynamic protected areas were re-located every 50 years to track dynamic habitat. Dynamic protected areas supported more high quality home ranges through time than static protected areas. The locations of dynamic protected areas were constrained, however, by the highly fragmented forest patterns created through logging and fire in unprotected areas. Our findings emphasize the often-overlooked point that if dynamic conservation planning is to be successful in the long term, the landscape matrix quality surrounding protected areas must be managed in such a way that options remain when it comes to re-planning.

[1]  Frank Harary,et al.  Graph Theory , 2016 .

[2]  I. Thompson.  Marten Populations in Uncut and Logged Boreal Forests in Ontario , 1994 .

[3]  Philip J. Burton,et al.  Boreal mixedwood forests may have no representative areas : some implications for reserve design , 1996 .

[4]  I. Thompson.  Could marten become the spotted owl of eastern Canada , 1991 .

[5]  Andrew Fall,et al.  Forest age structure as indicator of boreal forest sustainability under alternative management and fire regimes: A landscape level sensitivity analysis , 2007 .

[6]  Paul H. Williams,et al.  Planning for Climate Change: Identifying Minimum‐Dispersal Corridors for the Cape Proteaceae , 2005 .

[7]  M Cabeza,et al.  Design of reserve networks and the persistence of biodiversity. , 2001, Trends in ecology & evolution.

[8]  Bo Jellesmark Thorsen,et al.  Optimal reserve selection in a dynamic world , 2006 .

[9]  Steward T. A. Pickett,et al.  Patch dynamics and the design of nature reserves , 1978 .

[10]  S. Ferson,et al.  Quantitative Methods for Conservation Biology , 2002, Springer New York.

[11]  S. Andelman,et al.  Mathematical Methods for Identifying Representative Reserve Networks , 2000 .

[12]  Paul H. Williams,et al.  Using probability of persistence to identify important areas for biodiversity conservation , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[13]  Y. Bergeron,et al.  The influence of Fire Weather and land use on the Fire activity of the Lake Abitibi area, eastern Canada , 2003 .

[14]  Kevin J. Gaston,et al.  The ecological effectiveness of protected areas: the United Kingdom , 2006 .

[15]  M. Fortin,et al.  Reserve network design combining spatial graph theory and species' spatial requirements , 2005 .

[16]  Alain Leduc,et al.  Forest management guidelines based on natural disturbance dynamics: Stand- and forest-level considerations , 1999 .

[17]  R. Powell,et al.  Martens, Sables and Fishers' Biology and Conservation , 1996 .

[18]  Andrew Fall,et al.  Testing the importance of spatial configuration of winter habitat for woodland caribou: An application of graph theory , 2006 .

[19]  E. Johnson,et al.  Wildfire Regime in the Boreal Forest and the Idea of Suppression and Fuel Buildup , 2001 .

[20]  Robert L. Pressey,et al.  Formulating conservation targets for biodiversity pattern and process in the Cape Floristic Region, South Africa , 2003 .

[21]  Robert L. Pressey,et al.  Sampling of land types by protected areas: three measures of effectiveness applied to western New South Wales , 2001 .

[22]  D. Lesieur,et al.  Natural fire frequency for the eastern Canadian boreal forest: consequences for sustainable forestry , 2001 .

[23]  Andrew Fall,et al.  Consequences of various landscape-scale ecosystem management strategies and fire cycles on age-class structure and harvest in boreal forests , 2004 .

[24]  Brendan A. Wintle,et al.  Uncertainty analysis favours selection of spatially aggregated reserve networks , 2006 .

[25]  Richard L. Church,et al.  Locating and protecting critical reserve sites to minimize expected and worst-case losses , 2007 .

[26]  H. Possingham,et al.  A Manual Prepared for The Great Barrier Reef Marine Park Authority , 2000 .

[27]  S. Buskirk,et al.  Analysis of variability in home-range size of the American marten , 1989 .

[28]  Alain Leduc,et al.  Natural fire regime : a guide for sustainable management of the Canadian boreal forest , 2002 .

[29]  C. E. Van Wagner,et al.  The theory and use of two fire history models , 1985 .

[30]  A. O. Nicholls,et al.  Apparent species turnover, probability of extinction and the selection of nature reserves A case study of the Ingleborough limestone pavements , 1994 .

[31]  Kim Lowell,et al.  Marten Habitat Selection in a Clearcut Boreal Landscape , 2000 .

[32]  Mar Cabeza,et al.  Habitat loss and connectivity of reserve networks in probability approaches to reserve design , 2003 .

[33]  Charles ReVelle,et al.  Using mathematical optimization models to design nature reserves , 2004 .

[34]  Hugh P. Possingham,et al.  Optimality in reserve selection algorithms: When does it matter and how much? , 1996 .

[35]  Magnus Nyström,et al.  Reserves, Resilience and Dynamic Landscapes , 2003, Ambio.

[36]  Hugh P. Possingham,et al.  Does conservation planning matter in a dynamic and uncertain world , 2004 .

[37]  D. Olson,et al.  The Global 200: A Representation Approach to Conserving the Earth’s Most Biologically Valuable Ecoregions , 1998 .

[38]  S. Polasky,et al.  Dynamic reserve site selection , 2004 .

[39]  Manuela M. P. Huso,et al.  A comparison of reserve selection algorithms using data on terrestrial vertebrates in Oregon , 1997 .

[40]  Atte Moilanen,et al.  Combining probabilities of occurrence with spatial reserve design , 2004 .

[41]  Atte Moilanen,et al.  Site‐Selection Algorithms and Habitat Loss , 2003 .

[42]  S. Sarkar,et al.  Systematic conservation planning , 2000, Nature.

[43]  N. Schumaker,et al.  USE OF POPULATION VIABILITY ANALYSIS AND RESERVE SELECTION ALGORITHMS IN REGIONAL CONSERVATION PLANS , 2003 .

[44]  K. Hirsch,et al.  Large forest fires in Canada, 1959–1997 , 2002 .

[45]  Andrew Fall,et al.  The Effects of Spatial Legacies following Shifting Management Practices and Fire on Boreal Forest Age Structure , 2007, Ecosystems.

[46]  Sedat Keleş,et al.  Spatial forest planning: A review , 2005 .

[47]  Andrew Fall,et al.  A domain-specific language for models of landscape dynamics , 2001 .

[48]  Jonathan B. Oetting,et al.  Systematic reserve design as a dynamic process: F-TRAC and the Florida Forever program , 2006 .

[49]  Gretchen C Daily,et al.  Conservation Planning for Ecosystem Services , 2006, PLoS biology.

[50]  E. Johnson.  VEGETATION DYNAMICS : STUDIES FROM THE NORTH AMERICAN BOREAL FOREST , 1993 .

[51]  C. L. Shafer,et al.  Inter-reserve distance , 2001 .

[52]  Stephanie A. Snyder,et al.  A Scenario Optimization Model for Dynamic Reserve Site Selection , 2004 .

[53]  Flannigan,et al.  Effects of stand composition on fire hazard in mixed-wood Canadian boreal forest , 2000 .

[54]  C. E. Van Wagner,et al.  Age-class distribution and the forest fire cycle , 1978 .

[55]  K. Gaston,et al.  Robustness of reserve selection procedures under temporal species turnover , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[56]  Eric J. Gustafson,et al.  Clustering Timber Harvests and the Effect of Dynamic Forest Management Policy on Forest Fragmentation , 1998, Ecosystems.

[57]  Angela K. Fuller,et al.  Martens and Fishers (Martes) in human-altered environments : an international perspective , 2004 .

[58]  Atte Moilanen,et al.  Single‐species dynamic site selection , 2002 .

[59]  William L. Baker,et al.  The r.le programs for multiscale analysis of landscape structure using the GRASS geographical information system , 1992, Landscape Ecology.

[60]  M. Drechsler.  Probabilistic approaches to scheduling reserve selection , 2005 .

[61]  Donald D. Katnik,et al.  Influence of Landscape Pattern on Habitat Use by American Marten in an Industrial Forest , 1998 .

[62]  S. Andelman,et al.  Identifying priority areas for bioclimatic representation under climate change: a case study for Proteaceae in the Cape Floristic Region, South Africa. , 2005 .

[63]  Timothy H. Keitt,et al.  LANDSCAPE CONNECTIVITY: A GRAPH‐THEORETIC PERSPECTIVE , 2001 .

[64]  L. Hannah,et al.  Would climate change drive species out of reserves? An assessment of existing reserve‐selection methods , 2004 .

[65]  Mark D. McDonnell,et al.  Mathematical Methods for Spatially Cohesive Reserve Design , 2002 .

[66]  M. Mönkkönen,et al.  Targets for boreal forest biodiversity conservation - a rationale for macroecological research and adaptive management , 2004 .

[67]  D. Lindenmayer,et al.  General management principles and a checklist of strategies to guide forest biodiversity conservation , 2006 .

[68]  D. Lesieur,et al.  Past, current, and future fire frequencies in Quebec's commercial forests : implications for the cumulative effects of harvesting and fire on age-class structure and natural disturbance-based management , 2006 .