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Journal of Insect Conservation

, Volume 22, Issue 2, pp 257–265 | Cite as

Assessing the landscape functional connectivity using movement maps: a case study with endemic Azorean insects

  • Bruno A. Aparício
  • José Cascalho
  • Maria J. Cruz
  • Paulo A. V. Borges
  • Eduardo B. Azevedo
  • Rui B. Elias
  • Fernando Ascensão
ORIGINAL PAPER

Abstract

There is a vast body of literature aiming to predict, for a large number of taxa, the spatial distribution of suitable areas given the expected future changes of climatic conditions. However, such studies often overlook the role of landscape functional connectivity. This is particularly relevant for species with low vagility, as ground-dwelling insects, inhabiting areas with high human pressure due to habitat destruction and fragmentation, namely in the islands. In this study, we developed an individual-based model (IBM) that simulates individual movement according to landscape resistance and mortality probability, in order to derive the landscape movement map, and applied it to five endemic ground-dwelling insects of Terceira Island (Azores). We then confronted the movement maps of each species against the species distribution models previously developed for both current and future climatic conditions, quantifying the amount of important movement areas that are enclosed by the distribution polygons. We further sought to identify where habitat restoration would increase the overall connectivity among large habitat patches. Our results showed that, for both timeframes, the distribution models enclosed small amounts of areas predicted to be important for animal movement. Additionally, we predicted strong reductions (up to 94%) of these important areas for functional connectivity. We also identified areas in-between native forest of primary importance for restoration that may significantly increase the probability of persistence of our model species. We anticipate that this study will be useful to both conservation planners and ecologists seeking to understand species movement and dispersal both is islands and elsewhere.

Keywords

Climate change adaptation Landscape management Individual-based model Island ecology Azores 

Notes

Acknowledgements

A special thanks to Pedro Neves and David Avelar, for facilitating the computational resources that significantly reduced the simulation time; Luís Dias and Rita Godinho, for all the help and GIS support; and Luís Borda de Água, Mário Boieiro and Carla Rego for all the discussion and helpful comments and inputs. Data on species distributions was gathered based on the project ATLANTISMAR—“Mapping coastal and marine biodiversity of the Azores” (Ref: M2.1.2/I/027/2011). We also thank the anonymous reviewers, whose comments helped improving the quality of our manuscript. 

Funding

BAA was partially founded by Fundação para a Ciência e Tecnologia (FCT) Unit funding (Ref: UID/BIA/00329/2013). PAVB, EBA and RBE were funded by the project “Implications of climate change for Azorean Biodiversity—IMPACTBIO” [M2.1.2/I/005/2011]. FA was funded by Infraestruturas de Portugal Biodiversity Chair and Fundação para a Ciência e Tecnologia (FCT, SFRH/BPD/115968/2016).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

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Supplementary material 1 (PDF 330 KB)
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Supplementary material 2 (PDF 490 KB)
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Supplementary material 3 (PDF 125 KB)
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Supplementary material 4 (PDF 987 KB)

References

  1. Adriaensen F, Chardon JP, De Blust G, Swinnen E, Villalba S, Gulinck H, Matthysen E (2003) The application of “least-cost” modelling as a functional landscape model. Landscape Urban Plan 64:233–247.  https://doi.org/10.1016/S0169-2046(02)00242-6 CrossRefGoogle Scholar
  2. Albert CH, Rayfield B, Dumitru M, Gonzalez A (2017) Applying network theory to prioritize multi-species habitat networks that are robust to climate and land-use change. Conserv Biol.  https://doi.org/10.1111/cobi.12943 PubMedCrossRefGoogle Scholar
  3. Allen CH, Parrott L, Kyle C (2016) An individual-based modelling approach to estimate landscape connectivity for bighorn sheep (Ovis canadensis). PeerJ 4:e2001.  https://doi.org/10.7717/peerj.2001 CrossRefPubMedPubMedCentralGoogle Scholar
  4. Arellano L, León-Cortés JL, Ovaskainen O (2008) Patterns of abundance and movement in relation to landscape structure: a study of a common scarab (Canthon cyanellus cyanellus) in Southern Mexico. Landscape Ecol 23:69–78.  https://doi.org/10.1007/s10980-007-9165-8 CrossRefGoogle Scholar
  5. Avendaño-Mendoza C, Morón-Ríos A, Cano EB, León-Cortés J (2005) Dung beetle community (Coleoptera: Scarabaeidae: Scarabaeinae) in a tropical landscape at the Lachua Region, Guatemala. Biodivers Conserv 14:801–822.  https://doi.org/10.1007/s10531-004-0651-x CrossRefGoogle Scholar
  6. Azevedo EB (2014) Plano de gestão dos recursos hídrico das ilhas Terceira, Graciosa, Jorge S, Pico, Faial, Flores e Corvo - Clima e Hidrologia de superfície. Centro do Clima, Meteorogia e Mudanças Globais da Universidade dos AçoresGoogle Scholar
  7. Azevedo EB, Reis FV (2016) Cenários climáticos para os Açores: Plano Regional das Alterações Climáticas (PRAC). Angra do Heroísmo, AçoresGoogle Scholar
  8. Barton KA, Phillips BL, Morales JM, Travis JMJ (2009) The evolution of an “intelligent” dispersal strategy: biased, correlated random walks in patchy landscapes. Oikos 118:309–319.  https://doi.org/10.1111/j.1600-0706.2008.16936.x CrossRefGoogle Scholar
  9. Bellard C, Leclerc C, Courchamp F (2014) Impact of sea level rise on the 10 insular biodiversity hotspots. Global Ecol Biogeogr 23:203–212.  https://doi.org/10.1111/geb.12093 CrossRefGoogle Scholar
  10. Borges PAV, Serrano AR, Quartau JA (2000) Ranking the Azorean natural forest reserves for conservation using their endemic arthropods. J Insect Conserv 4:129–147.  https://doi.org/10.1023/A:1009629012205 CrossRefGoogle Scholar
  11. Borges PAV, Aguiar C, Amaral J et al (2005) Ranking protected areas in the Azores using standardised sampling of soil epigean arthropods. Biodivers Conserv 14:2029–2060.  https://doi.org/10.1007/s10531-004-4283-y CrossRefGoogle Scholar
  12. Borges PAV, Lobo JM, de Azevedo EB, Gaspar CS, Melo C, Nunes LV (2006) Invasibility and species richness of island endemic arthropods: a general model of endemic vs. exotic species. J Biogeogr 33:169–187.  https://doi.org/10.1111/j.1365-2699.2005.01324.x CrossRefGoogle Scholar
  13. Borges PAV, Vieira V (2010) List of arthropods (Arthropoda). In: Borges PAV et al (eds) A list of the terrestrial and marine biota from the Azores. Princípia, Cascais, pp 179–246Google Scholar
  14. Borges PAV, Lamelas-López L, Amorim I et al (2017) Conservation status of the forest beetles (Insecta, Coleoptera) from Azores, Portugal. Biodivers Data J 5:e14557.  https://doi.org/10.3897/BDJ.5.e14557 CrossRefGoogle Scholar
  15. Cardoso P, Aranda SC, Lobo JM, Dinis F, Gaspar C, Borges PAV (2009) A spatial scale assessment of habitat effects on arthropod communities of an oceanic island. Acta Oecol 35:590–597.  https://doi.org/10.1016/j.actao.2009.05.005 CrossRefGoogle Scholar
  16. Cardoso P, Rigal F, Fattorini S, Terzopoulou S, Borges PAV (2013) Integrating landscape disturbance and indicator species in conservation studies. PLoS ONE 8:e63294.  https://doi.org/10.1371/journal.pone.0063294 CrossRefPubMedPubMedCentralGoogle Scholar
  17. Chen I-C, Hill JK, Ohlemüller R, Roy DB, Thomas CD (2011) Rapid range shifts of species associated with high levels of climate warming. Science 333:1024–1026.  https://doi.org/10.1126/science.1206432 CrossRefPubMedGoogle Scholar
  18. Coulon A, Aben J, Palmer SCF, Stevens VM, Callens T, Strubbe D, Lens L, Matthysen E, Baguette M, Travis JMJ (2015) A stochastic movement simulator improves estimates of landscape connectivity. Ecology 96:2203–2213.  https://doi.org/10.1890/14-1690.1 CrossRefPubMedGoogle Scholar
  19. Courchamp F, Hoffmann BD, Russell JC, Leclerc C, Bellard C (2014) Climate change, sea-level rise, and conservation: keeping island biodiversity afloat. Trends Ecol Evol 29:127–130.  https://doi.org/10.1016/j.tree.2014.01.001 CrossRefPubMedGoogle Scholar
  20. DROTRH (2008) Carta de ocupação do solo da região Autónoma dos Açores - Projecto SUEMAC. Secretaria Regional do Ambiente, Direcção Regional do Ordenamento do território e dos Recursos Hídricos, Ponta DelgadaGoogle Scholar
  21. Elias RB, Gil A, Silva L, Fernández-Palacios J-M, Azevedo EB, Reis F (2016) Natural zonal vegetation of the Azores Islands: characterization and potential distribution. Phytocoenologia 46:107–123.  https://doi.org/10.1127/phyto/2016/0132 CrossRefGoogle Scholar
  22. Eycott AE, Stewart GB, Buyung-Ali LM, Bowler DE, Watts K, Pullin AS (2012) A meta-analysis on the impact of different matrix structures on species movement rates. Landscape Ecol 27:1263–1278.  https://doi.org/10.1007/s10980-012-9781-9 CrossRefGoogle Scholar
  23. Ferreira MT, Cardoso P, Borges PAV, Gabriel R, de Azevedo EB, Reis F, Araújo MB, Elias RB (2016) Effects of climate change on the distribution of indigenous species in oceanic islands (Azores). Clim Change 138:603–615.  https://doi.org/10.1007/s10584-016-1754-6 CrossRefGoogle Scholar
  24. Fischer J, Lindenmayer DB (2007) Landscape modification and habitat fragmentation: a synthesis. Global Ecol Biogeogr 16:265–280.  https://doi.org/10.1111/j.1466-8238.2007.00287.x CrossRefGoogle Scholar
  25. Florencio M, Rigal F, Borges PAV, Cardoso P, Santos AMC, Lobo JM (2016) The role of plant fidelity and land-use changes on island exotic and indigenous canopy spiders at local and regional scales. Biol Invasions 18:2309–2324.  https://doi.org/10.1007/s10530-016-1162-x CrossRefGoogle Scholar
  26. Gabriel R, Bates JW (2005) Bryophyte community composition and habitat specificity in the natural forests of Terceira, Azores. Plant Ecol 177:125–144.  https://doi.org/10.1007/s11258-005-2243-6 CrossRefGoogle Scholar
  27. Garcia RA, Cabeza M, Rahbek C, Araujo MB (2014) Multiple dimensions of climate change and their implications for biodiversity. Science 344:1247579.  https://doi.org/10.1126/science.1247579 CrossRefPubMedGoogle Scholar
  28. Gaspar C, Gaston KJ, Borges PAV, Cardoso P (2011) Selection of priority areas for arthropod conservation in the Azores archipelago. J Insect Conserv 15:671–684.  https://doi.org/10.1007/s10841-010-9365-4 CrossRefGoogle Scholar
  29. Gitay H, Suárez A, Watson RT (2002) Climate change and biodiversity. Intergovernmental Panel on Climate Change, GenevaGoogle Scholar
  30. Gonçalves J, Dentinho T (2007) A spatial interaction model for agricultural uses. In: Koomen E, Stillwell J, Bakema A, Scholten HJ (eds) Modelling land-use change. Springer, Heidelberg, pp 133–144Google Scholar
  31. Grimm V, Berger U, Bastiansen F et al (2006) A standard protocol for describing individual-based and agent-based models. Ecol Model 198:115–126.  https://doi.org/10.1016/j.ecolmodel.2006.04.023 CrossRefGoogle Scholar
  32. Grimm V, Berger U, DeAngelis DL, Polhill JG, Giske J, Railsback SF (2010) The ODD protocol: a review and first update. Ecol Model 221:2760–2768.  https://doi.org/10.1016/j.ecolmodel.2010.08.019 CrossRefGoogle Scholar
  33. Harter DEV, Irl SDH, Seo B, Steinbauer MJ, Gillespie R, Triantis KA, Fernández-Palacios J-M, Beierkuhnlein C (2015) Impacts of global climate change on the floras of oceanic islands: projections, implications and current knowledge. Perspect Plant Ecol 17:160–183.  https://doi.org/10.1016/j.ppees.2015.01.003 CrossRefGoogle Scholar
  34. Jenkins CN, Van Houtan KS, Pimm SL, Sexton JO (2015) US protected lands mismatch biodiversity priorities. Proc Natl Acad Sci 112:5081–5086.  https://doi.org/10.1073/pnas.1418034112 CrossRefPubMedPubMedCentralGoogle Scholar
  35. Kier G, Kreft H, Lee TM, Jetz W, Ibisch PL, Nowicki C, Mutke J, Barthlott W (2009) A global assessment of endemism and species richness across island and mainland regions. Proc Natl Acad Sci 106:9322–9327.  https://doi.org/10.1073/pnas.0810306106 CrossRefPubMedPubMedCentralGoogle Scholar
  36. Kleinmann JU, Wang M (2017) Modeling individual movement decisions of brown hare (Lepus europaeus) as a key concept for realistic spatial behavior and exposure: a population model for landscape-level risk assessment. Environ Toxicol Chem 36:2299–2307.  https://doi.org/10.1002/etc.3760 CrossRefPubMedGoogle Scholar
  37. Krosby M, Tewksbury J, Haddad NM, Hoekstra J (2010) Ecological connectivity for a changing climate. Conserv Biol 24:1686–1689.  https://doi.org/10.1111/j.1523-1739.2010.01585.x CrossRefPubMedGoogle Scholar
  38. Lambin EF, Turner BL, Geist HJ et al (2001) The causes of land-use and land-cover change: moving beyond the myths. Glob Environ Change 11:261–269.  https://doi.org/10.1016/S0959-3780(01)00007-3 CrossRefGoogle Scholar
  39. Le Gall M, Chaput-Bardy A, Husté A (2017) Context-dependent local movements of the blue-tailed damselfly, Ischnura elegans: effects of pond characteristics and the landscape matrix. J Insect Conserv 21:243–256.  https://doi.org/10.1007/s10841-017-9971-5 CrossRefGoogle Scholar
  40. Machado A (2009) El Género Drouetius Méquignon, 1942 Stat. Prom., de las islas Azores (Coleoptera, Curculionidae, Entiminae). Graellsia 65:19–46CrossRefGoogle Scholar
  41. Martin TG, Burgman MA, Fidler F, Kuhnert PM, Low-Choy S, Mcbride M, Mengersen K (2012) Eliciting expert knowledge in conservation science. Conserv Biol 26:29–38.  https://doi.org/10.1111/j.1523-1739.2011.01806.x CrossRefPubMedGoogle Scholar
  42. Mawdsley JR, O’Malley R, Ojima DS (2009) A review of climate-change adaptation strategies for wildlife management and biodiversity conservation. Conserv Biol 23:1080–1089.  https://doi.org/10.1111/j.1523-1739.2009.01264.x CrossRefPubMedGoogle Scholar
  43. Maxwell SL, Fuller RA, Brooks TM, Watson JEM (2016) Biodiversity: the ravages of guns, nets and bulldozers. Nature 536:143–145.  https://doi.org/10.1038/536143a CrossRefPubMedGoogle Scholar
  44. McGuire JL, Lawler JJ, McRae BH, Nuñez TA, Theobald DM (2016) Achieving climate connectivity in a fragmented landscape. Proc Natl Acad Sci 113:7195–7200.  https://doi.org/10.1073/pnas.1602817113 CrossRefPubMedPubMedCentralGoogle Scholar
  45. McLane AJ, Semeniuk C, McDermid GJ, Marceau DJ (2011) The role of agent-based models in wildlife ecology and management. Ecol Model 222:1544–1556.  https://doi.org/10.1016/j.ecolmodel.2011.01.020 CrossRefGoogle Scholar
  46. McRae BH, Dickson BG, Keitt TH, Shah VB (2008) Using circuit theory to model connectivity in ecology, evolution, and conservation. Ecology 89:2712–2724.  https://doi.org/10.1890/07-1861.1 CrossRefPubMedGoogle Scholar
  47. Miranda P, Valente MA, Tomé AR, Trigo R, Coelho MFES., Aguiar A, Azevedo EB (2006) O clima de Portugal nos Séculos XX e XXI. In: Santos FD, Miranda P (eds) Alterações climáticas em Portugal: Cenários, impactos e medidas de adaptação. Gradiva, Lisbon, pp 45–113Google Scholar
  48. Nardi G, Mico E (2010) Alestrus dolosus. The IUCN red list of threatened species 2010: e.T157633A5113198.  https://doi.org/10.2305/IUCN.UK.2010-1.RLTS.T157633A5113198.en
  49. Niebuhr BBS, Wosniack ME, Santos MC, Raposo EP, Viswanathan GM, da Luz MGE, Pie MR (2015) Survival in patchy landscapes: the interplay between dispersal, habitat loss and fragmentation. Sci Rep 5:11898.  https://doi.org/10.1038/srep11898 CrossRefPubMedPubMedCentralGoogle Scholar
  50. Parmesan C (2006) Ecological and evolutionary responses to recent climate change. Annu Rev Ecol Evol S 37:637–669.  https://doi.org/10.1146/annurev.ecolsys.37.091305.110100 CrossRefGoogle Scholar
  51. Patiño J, Mateo RG, Zanatta F et al (2016) Climate threat on the Macaronesian endemic bryophyte flora. Sci Rep 6:29156.  https://doi.org/10.1038/srep29156 CrossRefPubMedPubMedCentralGoogle Scholar
  52. Prevedello JA, Vieira MV (2010) Does the type of matrix matter? A quantitative review of the evidence. Biodivers Conserv 19:1205–1223.  https://doi.org/10.1007/s10531-009-9750-z CrossRefGoogle Scholar
  53. QGIS Development team (2016) QGIS geographic information system. Open source geospatial foundation project. QGIS development team. Available from http://www.qgis.org/
  54. Quartau JA, Borges P (2003) A new species of the genus Aphrodes curtis from the Azores (Hemiptera, Cicadellidae). Bocagiana 213:1–11Google Scholar
  55. R Core Team (2015) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. Available from https://www.r-project.org/
  56. Railsback SF, Grimm V (2011) Agent-Based and Individual-Based Modeling: A Practical Introduction. Princeton University Press, PrincetonGoogle Scholar
  57. Rosenzweig C, Casassa G, Karoly DJ, Imeson A, Liu C, Menzel A, Rawlins S, Root TL, Seguin B, Tryjanowski P (2007) Assessment of observed changes and responses in natural and managed systems. In: Parry ML, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (eds) Climate change 2007: Impacts, adaptation and vulnerability. Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 79–131Google Scholar
  58. Roslin T, Avomaa T, Leonard M, Luoto M, Ovaskainen O (2009) Some like it hot: microclimatic variation affects the abundance and movements of a critically endangered dung beetle. Insect Conserv Diver 2:232–241.  https://doi.org/10.1111/j.1752-4598.2009.00054.x CrossRefGoogle Scholar
  59. Sala O, Chapin FS III, Armesto JJ et al (2000) Global biodiversity scenarios for the year 2100. Science 287:1770–1774.  https://doi.org/10.1126/science.287.5459.1770 CrossRefPubMedGoogle Scholar
  60. Taylor PD, Fahrig L, Henein K, Merriam G (1993) Connectivity is a vital element of landscape structure. Oikos 68:571.  https://doi.org/10.2307/3544927 CrossRefGoogle Scholar
  61. Travis JMJ (2003) Climate change and habitat destruction: a deadly anthropogenic cocktail. Proc R Soc B: Biol Sci 270:467–473.  https://doi.org/10.1098/rspb.2002.2246 CrossRefGoogle Scholar
  62. Triantis KA, Borges PAV, Ladle RJ et al (2010) Extinction debt on oceanic islands. Ecography 33:285–294.  https://doi.org/10.1111/j.1600-0587.2010.06203.x CrossRefGoogle Scholar
  63. USGS (2015) United States geological survey. http://earthexplorer.usgs.gov/. Accessed Nov 1 2015
  64. van Etten J (2017) R package gdistance: distances and routes on geographical grids. J Stat Softw 76.  https://doi.org/10.18637/jss.v076.i13
  65. van Vuuren DP, Edmonds J, Kainuma M et al (2011) The representative concentration pathways: an overview. Clim Change 109:5–31.  https://doi.org/10.1007/s10584-011-0148-z CrossRefGoogle Scholar
  66. Wetzel FT, Beissmann H, Penn DJ, Jetz W (2013) Vulnerability of terrestrial island vertebrates to projected sea-level rise. Glob Change Biol 19:2058–2070.  https://doi.org/10.1111/gcb.12185 CrossRefGoogle Scholar
  67. Wilensky U (1999) NetLogo. Center for connected learning and computer-based modeling, Northwestern University, Evanston: http://ccl.northwestern.edu/netlogo/
  68. Williams JC, ReVelle CS, Levin SA (2005) Spatial attributes and reserve design models: a review. Environ Model Assess 10:163–181.  https://doi.org/10.1007/s10666-005-9007-5 CrossRefGoogle Scholar
  69. Youngquist MB, Boone MD (2014) Movement of amphibians through agricultural landscapes: the role of habitat on edge permeability. Biol Conserv 175:148–155.  https://doi.org/10.1016/j.biocon.2014.04.028 CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Centre for Ecology, Evolution and Environmental Changes (cE3c)Faculdade de Ciências da Universidade de LisboaLisboaPortugal
  2. 2.Núcleo de Investigação e Desenvolvimento em e-Saúde (NIeS)Universidade dos AçoresPonta DelgadaPortugal
  3. 3.BioISI – Instituto de Biosistemas & Ciências IntegrativasFaculdade de Ciências da Universidade de LisboaLisboaPortugal
  4. 4.Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group and Universidade dos Açores (cE3c)Faculdade de Ciências Agrárias e AmbienteAngra do Heroísmo, TerceiraPortugal
  5. 5.Centre of Climate, Meteorology and Global Change (CCMMG-CITA-A)Departamento de Ciências Agrárias, Universidade dos AçoresAngra do HeroísmoPortugal
  6. 6.Centro de Investigação em Biodiversidade e Recursos GenéticosUniversidade do PortoVairãoPortugal
  7. 7.Department of Conservation BiologyEstación Biológica de Doñana (EBD-CSIC)SevillaSpain

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