Prioritizing restoration of structural connectivity in rivers: a graph based approach

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• 作者：Pedro Segurado (1)
  Paulo Branco (1)
  Maria T. Ferreira (1)
  
• 关键词：Connectivity ; Conservation planning ; Fishes ; Graph theory ; Portugal ; Restoration ; River
• 刊名：Landscape Ecology
• 出版年：2013
• 出版时间：August 2013
• 年：2013
• 卷：28
• 期：7
• 页码：1231-1238
• 全文大小：596KB
• 参考文献：1. Assis CA (1990) Threats to the survival of anadronous fishes in the river Tagus, Portugal. J Fish Biol 37:225 CrossRef
  2. Baranyi G, Saura S, Podani J, Jordán F (2011) Contribution of habitat patches to network connectivity: redundancy and uniqueness of topological indices. Ecol Indic 11:1301-310 CrossRef
  3. Bodin ?, Saura S (2010) Ranking individual habitat patches as connectivity providers: integrating network analysis and patch removal experiments. Ecol Model 221:2393-405 CrossRef
  4. Calabrese JM, Fagan WF (2004) A comparison shoppers-guide to connectivity metrics: trading off between data requirements and information content. Front Ecol Environ 2:529-36 CrossRef
  5. Cote D, Kehler DG, Bourne C, Wiersma YF (2010) A new measure of longitudinal connectivity for stream networks. Landscape Ecol 24:101-13 CrossRef
  6. Dale MRT, Fortin M-J (2010) From graphs to spatial graphs. Ann Rev Ecol Evol Syst 41:21-8 CrossRef
  7. Er?s T, Schmera D, Schick RS (2011) Network thinking in riverscape conservation—a graph-based approach. Biol Conserv 144:184-92 CrossRef
  8. Er?s T, Olden JD, Schick RS, Schmera D, Fortin M-J (2012) Characterizing connectivity relationships in freshwaters using patch-based graphs. Landscape Ecol 27:303-17 CrossRef
  9. European Commission (2000) Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for the community action in the field of water policy. Off J Eur Comm Legis 327:1-2
  10. Fagan WF (2002) Connectivity, fragmentation, and extinction risk in dendritic metapopulations. Ecology 83:3243-249 CrossRef
  11. Fahrig L, Merriam G (1985) Habitat patch connectivity and population survival. Ecology 66:1762-768 CrossRef
  12. Fausch KD, Torgersen CE, Baxter CV, Li HW (2002) Landscapes to riverscapes: bridging the gap between research and conservation of stream fishes. Bioscience 52:483-98 CrossRef
  13. Fullerton AH, Burnett KM, Steel EA, Flicroft RL, Pess GR, Feist BE, Torgersen CE, Miller DJ, Sanderson BL (2010) Hydrological connectivity for riverine fish: measurement challenges and research opportunities. Freshw Biol 55:2215-237
  14. Galpern P, Manseau M, Fall A (2011) Patch-based graphs of landscape connectivity: a guide to construction, analysis and application for conservation. Biol Conserv 144:44-5 CrossRef
  15. Godinho FN, Ferreira MT (2000) Composition of endemic fish assemblages in relation to exotic species and river regulation in a temperate stream. Biol Invasions 2:231-44 CrossRef
  16. Grant EHC (2011) Structural complexity, movement bias and metapopulation extinction risk in dendritic ecological networks. J N Am Benthol Soc 30:252-58 CrossRef
  17. Hermoso V, Linke S, Prenda J, Possingham HP (2011) Addressing longitudinal connectivity in the systematic conservation planning of fresh waters. Freshw Biol 56:57-0 CrossRef
  18. Humphries PL, Winemiller KO (2009) Historical impacts on river fauna, shifting baselines and challenges for restoration. Bioscience 59:673-84 CrossRef
  19. INAG I.P. (1999) Plano de Bacia Hidrográfica do Rio Tejo. Análise e Diagnóstico da Situa??o de Referência. Vol I, Síntese, Lisbon
  20. Kemp PS, O’Hanley JR (2010) Procedures for evaluating and prioritising the removal of fish passage barriers: a synthesis. Fisheries Manag Ecol 17:297-22
  21. Laita A, Kotiaho JS, M?nkk?nen M (2011) Graph-theoretic connectivity measures: What do they tell us about connectivity? Landscape Ecol 26:951-67 CrossRef
  22. Levin SA (1974) Dispersion and population interactions. Am Nat 108:207-28 CrossRef
  23. Liermann CR, Nilsson C, Robertson J, Ng RY (2012) Implications of dam obstruction for global freshwater fish diversity. Bioscience 62:539-48 CrossRef
  24. Lucas MC, Baras E (2001) Migration of freshwater fishes. Blackwell Science, Malden CrossRef
  25. MacArthur RH, Wilson EO (1967) The Theory of Island Biogeography. Princeton University Press, Princeton
  26. Mader H, Maier C (2008) A method for prioritizing the reestablishment of river continuity in Austrian rivers. Hydrobiologia 609:277-88 CrossRef
  27. Merriam G (1984) Connectivity: a fundamental ecological characteristic of landscape pattern. Proc Int Assoc Landscape Ecol 1:5-5
  28. Minor ES, Urban DL (2007) Graph theory as a proxy for spatially explicit population models in conservation planning. Ecol Appl 17:1771-782 CrossRef
  29. Minor ES, Urban DL (2008) A graph-theory framework for evaluating landscape connectivity and conservation planning. Conserv Biol 22:297-07 CrossRef
  30. O’Hanley JR, Tomberlin D (2005) Optimizing the removal of small fish passage barriers. Environ Model Assess 10:85-8 CrossRef
  31. Pascual-Hortal L, Saura S (2006) Comparison and development of new graph-based landscape connectivity indices: towards the priorization of habitat patches and corridors for conservation. Landscape Ecol 21:959-67 CrossRef
  32. Paul JF (2003) Developing and applying an index of environmental integrity for the US Mid-Atlantic region. J Env Manag 67:175-85 CrossRef
  33. Pereira M, Segurado P, Neves N (2011) Using spatial network structure in landscape management and planning: a case study with pond turtles. Landscape Urban Plan 100:67-6 CrossRef
  34. 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. Landscape Urban Plan 83:91-03 CrossRef
  35. Saura S, Rubio L (2010) A common currency for the different ways in which patches and links can contribute to habitat availability and connectivity in the landscape. Ecography 33:523-37
  36. Saura S, Torné J (2009) Conefor Sensinode 2.2: a software package for quantifying the importance of habitat patches for landscape connectivity. Environ Model Softw 24:135-39 CrossRef
  37. Schick RS, Lindley ST (2007) Directed connectivity among fish populations in a riverine network. J Appl Ecol 44:1116-126 CrossRef
  38. Steel EA, Feist BE, Jensen DW, Pess GR, Sheer MB, Brauner JB, Bilby RE (2004) Landscape models to understand steelhead ( / Oncorhynchus mykiss) distribution and help prioritize barrier removals in the Willamette basin, Oregon, USA. Can J Fish Aquat Sci 61:999-011 CrossRef
  39. Urban DL, Keitt TH (2001) Landscape connectivity: a graph-theoretic perspective. Ecology 82:1205-218 CrossRef
  40. Urban DL, Minor ES, Treml EA, Schick RS (2009) Graph models of habitat mosaics. Ecol Lett 12:260-73 CrossRef
  41. Vogt J, Soille P, de Jager A, Rimavi?iūt? E, Mehl W, Foisneau S, Bodis K, Dusart J, Paracchini ML, Haastrup P, Bamps C (2007) A pan-European River and Catchment Database. European Commission—JRC, EUR 22920 EN, Luxembourg
  42. Ward JV, Tockner K, Arscott DB, Claret C (2002) Riverine landscape diversity. Freshw Biol 47:517-39 CrossRef
  43. Wiens JA (2002) Riverine landscapes: taking landscape ecology into the water. Freshw Biol 47:501-15 CrossRef
  
• 作者单位：Pedro Segurado (1)
  Paulo Branco (1)
  Maria T. Ferreira (1)
  
  1. Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade Técnica de Lisboa, Tapada da Ajuda, 1349-017, Lisbon, Portugal
  

文摘

Longitudinal connectivity is considered a key issue in river management, as it shapes ecological processes from single organisms to populations and ecosystems. Recently, it was shown that network analysis based on spatial graphs has promising applications as a tool for the assessment of connectivity in riverine systems. In this study we used a graph theory approach to identify which barriers most impacted the structural connectivity of a river basin and which connections should preferably be restored or enhanced in order to effectively improve the overall connectivity. An innovative aspect of the proposed methodology is the consideration of the cumulative non-additive impacts produced by barriers, which are especially relevant to organisms of high mobility such as fish. The portuguese river Tagus basin was used as a case study. The cumulative effect of barriers was studied using two approaches: (1) an historical approach in which the impact of barriers was assessed sequentially following the historical succession of construction; (2) a “backward-approach in which barriers were sequentially removed according to their impact. The overall structural connectivity of the river basin decreased to about 50?% of its original value after the major dams were constructed. Results show that it would be necessary to rehabilitate 11 connections in order to increase the overall structural connectivity to 90?% of its original value. This work proposes a novel and straightforward approach to prioritize rehabilitation actions in river systems, providing a promising tool for decision-makers.