Abstract
Habitat fragmentation is one of the greatest threats to biodiversity. To minimise the effect of fragmentation on biodiversity, connectivity between otherwise isolated habitats should be promoted. However, the identification of linkages favouring connectivity is not trivial. Firstly, they compete with other land uses, so they need to be cost-efficient. Secondly, linkages for one species might be barriers for others, so they should effectively account for distinct mobility requirements. Thirdly, detailed information on the auto-ecology of most of the species is lacking, so linkages need being defined based on surrogates. In order to address these challenges we develop a framework that (a) identifies environmentally-similar habitats; (b) identifies environmental barriers (i.e., regions with a very distinct environment from the areas to be linked), and; (c) determines cost-efficient linkages between environmentally-similar habitats, free from environmental barriers. The assumption is that species with similar ecological requirements occupy the same environments, so environmental similarity provides a rationale for the identification of the areas that need to be linked. A variant of the classical minimum Steiner tree problem in graphs is used to address c). We present a heuristic for this problem that is capable of handling large datasets. To illustrate the framework we identify linkages between environmentally-similar protected areas in the Iberian Peninsula. The Natura 2000 network is used as a positive ‘attractor’ of links while the human footprint is used as ‘repellent’ of links. We compare the outcomes of our approach with cost-efficient networks linking protected areas that disregard the effect of environmental barriers. As expected, the latter achieved a smaller area covered with linkages, but with barriers that can significantly reduce the permeability of the landscape for the dispersal of some species.
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References
Aarts EHL, Korst JHM, van Laarhoven PJM (1997) Simulated annealing. In: Aarts E, Lenstra JK (eds) Local search in combinatorial optimization. Wiley, New York, pp 91–120
Alagador D, Cerdeira JO (2007) Designing spatially-explicit reserve networks in the presence of mandatory sites. Biol Conserv 137:254–262
Anderson MG, Ferree CE (2010) Conserving the stage: climate change and the geophysical underpinnings of species diversity. PLoS ONE 5:e11554
Araújo M (2009) Climate change and spatial conservation planning. In: Moilanen A, Possingham H, Wilson KA (eds) Spatial conservation prioritization: quantitative methods and computational tools, Oxford University Press, Oxford, pp 172–184
Araújo MB, Humphries CJ, Densham PJ, Lampinen R, Hagemeijer WJM, Mitchell-Jones AJ, Gasc JP (2001) Would environmental diversity be a good surrogate for species diversity? Ecography 24:103–110
Araújo MB, Densham PJ, Williams PH (2004) Representing species in reserves from patterns of assemblage diversity. J Biogeogr 31:1037–1050
Araújo MB, Alagador D, Cabeza M, Nogués-Bravo D, Thuiller W (2011a) Climate change threatens European conservation areas. Ecol Lett 14:484–492
Araújo MB, Guilhaumon F, Neto DR, Pozo I, Calmaestra RG (2011b) Impactos, vulnerabilidad y adaptación al cambio climático de la biodiversidad española, 2nd edn. Fauna de Vertebrados, Madrid
Baldwin RF, Perkl R, Trombulak S, Burwell W (2010) Modeling ecoregional connectivity. In: Trombulak S, Baldwin RF (eds) Landscape-scale conservation planning. Springer-Verlag, Dordretch
Beier P, Brost B (2010) Use of land facets to plan for climate change: conserving the arenas, not the actors. Conserv Biol 24(3):701–710
Beier P, Noss R (1998) Do habitat corridors provide connectivity? Conserv Biol 12:1241–1252
Beier P, Spencer W, Baldwin RF, McRae BH (2011) Toward best practices for developing regional connectivity maps. Conserv Biol 25:879–892
Bull JC, Pickup NJ, Pickett B, Hassell MP, Bonsall MB (2007) Metapopulation extinction risk is increased by environmental stochasticity and assemblage complexity. Proc R Soc B Biol Sci 274:87–96
Butchart SHM, Walpole M, Collen B, van Strien A, Scharlemann JPW, Almond REA, Baillie JEM, Bomhard B, Brown C, Bruno J, Carpenter KE, Carr GM, Chanson J, Chenery AM, Csirke J, Davidson NC, Dentener F, Foster M, Galli A, Galloway JN, Genovesi P, Gregory RD, Hockings M, Kapos V, Lamarque J-F, Leverington F, Loh J, McGeoch MA, McRae L, Minasyan A, Morcillo MH, Oldfield TEE, Pauly D, Quader S, Revenga C, Sauer JR, Skolnik B, Spear D, Stanwell-Smith D, Stuart SN, Symes A, Tierney M, Tyrrell TD, Vié J-C, Watson R (2010) Global biodiversity: indicators of recent declines. Science 328:1164–1168
Calabrese JM, Fagan WF (2004) A comparison-shopper’s guide to connectivity metrics. Front Ecol Environ 2:529–536
Cerdeira JO, Gaston KJ, Pinto LS (2005) Connectivity in priority area selection for conservation. Environ Model Assess 10:183–192
Cerdeira JO, Pinto LS, Cabeza M, Gaston KJ (2010) Species specific connectivity in reserve-network design using graphs. Biol Conserv 143:408–415
Chetkiewicz CLB, Boyce MS (2009) Use of resource selection functions to identify conservation corridors. J Appl Ecol 46:1036–1047
Chetkiewicz C-LB, St. Clair CC, Boyce M (2006) Corridors for conservation: integrating pattern and process. Annu Rev Ecol Evol Syst 37:317–342
Conrad J, Gomes CP, van Hoeve W-J, Sabharwal A, Suter JF (2010) Incorporating economic and ecological information into the optimal design of wildlife corridors, Cornell University, Ithaca
Dijkstra EW (1959) A note on two problems in connexion with graphs. Numer Math 1:269–271
Du D, Hu X (2008) Steiner tree problems in computer communication networks, World Scientific Publishing Co Pte Ltd., Singapore
Fahrig L, Merriam G (1994) Conservation of fragmented populations. Conserv Biol 8:50–59
Fielding AH (2007) Cluster and classification techniques for the biosciences. Cambridge University Press, Cambridge
Fischer DT, Church RL (2003) Clustering and compactness in reserve site selection: an extension of the biodiversity management area selection model. For Sci 49:555–565
Fuller T, Sarkar S (2006) LQGraph: a software package for optimizing connectivity in conservation planning. Environ Model Softw 21:750–755
Fuller T, Munguia M, Mayfield M, Sanchez-Cordero V, Sarkar S (2006) Incorporating connectivity into conservation planning: a multi-criteria case study from central Mexico. Biol Conserv 133:131–143
Game ET, Lipsett-Moore G, Saxon E, Peterson N, Sheppard S (2011) Incorporating climate change adaptation into national conservation assessments. Glob Change Biol 17:3150–3160
Hannah L, Midgley GF, Andelman S, Araújo MB, Hughes G, Martinez-Meyer E, Pearson RG, Williams PH (2007) Protected area needs in a changing climate. Front Ecol Environ 5:131–138
Hanski I (1999) Habitat connectivity, habitat continuity, and metapopulations in dynamic landscapes. Oikos 87:209–219
Hawkins BA, Field R, Cornell HV, Currie DJ, Guégan J-F, Kaufman DM, Kerr JT, Mittelbach GG, Oberdorff T, O’Brien EM, Porter EE, Turner JRG (2003) Energy, water, and broad-scale geographic patterns of species richness. Ecology 84:3105–3117
Hortal J, Araújo MB, Lobo JM (2009) Testing the effectiveness of discrete and continuous environmental diversity as a surrogate for species diversity. Ecol Ind 9:138–149
IUCN (2010) IUCN red list of threatened species. Version 2010.1 IUCN
Kruskal JB (1956) On the shortest spanning subtree of a graph and the traveling salesman problem. Proc Am Math Soc 7:48–50
McDonnell MD, Possingham HP, Ball IR, Cousins EA (2002) Mathematical methods for spatially cohesive reserve design. Environ Model Assess 7:107–114
Önal H, Briers RA (2002) Incorporating spatial criteria in optimum reserve network selection. Proc R Soc Lond B Biol Sci 269:2437–2441
Önal H, Briers RA (2003) Selection of a minimum-boundary reserve network using integer programming. Proc R Soc Lond B Biol Sci 270:1487–1491
Önal H, Briers RA (2005) Designing a conservation reserve network with minimal fragmentation: a linear integer programming approach. Environ Model Assess 10:193–202
Önal H, Wang Y (2008) A graph theory approach for designing conservation reserve networks with minimal fragmentation. Networks 51:142–152
Peel MC, Finlayson BL, McMahon TA (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol Earth Syst Sci 11:1633–1644
Pinto N, Keitt T (2009) Beyond the least-cost path: evaluating corridor redundancy using a graph-theoretic approach. Landscape Ecol 24:253–266
Prim RC (1957) Shortest connection networks and some generalizations. Bell Syst Tech J 36:1389–1401
Rayfield B, Fortin M-J, Fall A (2011) Connectivity for conservation: a framework to classify network measures. Ecology 92:847–858
Rothley KD (1999) Designing bioreserve networks to satisfy multiple, conflicting demands. Ecol Appl 9:741–750
Sanderson EW, Jaiteh M, Levy MA, Redford KH, Wannebo AV, Woolmer G (2002) The human footprint and the last of the wild. Bioscience 52:891–904
Saura S, Pascual-Hortal L (2007) A new habitat availability index to integrate connectivity in landscape conservation planning: comparison with existing indices and application to a case study. Landsc Urban Plan 83:91–103
Sawyer SC, Epps CW, Brashares JS (2011) Placing linkages among fragmented habitats: do least-cost models reflect how animals use landscapes? J Appl Ecol 48:668–678
Sessions J (1992) Solving for habitat connections as a Steiner network problem. For Sci 38:203–207
Taylor PD, Fahrig L, Henein K, Merriam G (1993) Connectivity is a vital element of landscape structure. Oikos 68:571–573
Theobald D (2010) Estimating natural landscape changes from 1992 to 2030 in the conterminous US. Landscape Ecol 25:999–1011
Urban D, Keitt T (2001) Landscape connectivity: a graph-theoretic perspective. Ecology 82:1205–1218
Whittaker RJ, Nogués-Bravo D, Araújo MB (2007) Geographical gradients of species richness: a test of the water-energy conjecture of Hawkins et al. (2003) using European data for five taxa. Glob Ecol Biogeogr 16:76–89
Williams JC (1998) Delineating protected wildlife corridors with multi-objective programming. Environ Model Assess 3:77–86
Williams JC (2002) A zero-one programming model for contiguous land acquisition. Geogr Anal 34:330–349
Williams JC, ReVelle CS (1998) Reserve assemblage of critical areas: a zero-one programming approach. Eur J Oper Res 104:497–509
Williams J, ReVelle C, Levin S (2005) Spatial attributes and reserve design models: a review. Environ Model Assess 10:163–181
Wu X, Murray A, Xiao N (2011) A multiobjective evolutionary algorithm for optimizing spatial contiguity in reserve network design. Landscape Ecol 26:425–437
Acknowledgments
DA was supported by a PhD studentship (BD/27514/2006) and is now funded by a post-doctoral fellowship (BPD/51512/2011) awarded by the Portuguese Foundation for Science and Technology (FCT); MT is funded by a FPI-MICINN (BES-2007-17311) fellowship; MC was funded through a Spanish RyC fellowship; JOC is partially supported by FCT through the European Community Fund FEDER/POCI 2010 and by the FCT project PTDC/AAC-AMB/113394/2009; MBA is currently funded by the ECOCHANGE project and acknowledges support from the Rui Nabeiro/Delta Chair in Biodiversity and the Spanish Research Council (CSIC). We are grateful to Evgeniy Meyke for the treatment of Iberian Peninsula Natura 2000 data.
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Alagador, D., Triviño, M., Cerdeira, J.O. et al. Linking like with like: optimising connectivity between environmentally-similar habitats. Landscape Ecol 27, 291–301 (2012). https://doi.org/10.1007/s10980-012-9704-9
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DOI: https://doi.org/10.1007/s10980-012-9704-9