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Quantitative monitoring of changes in forest habitat connectivity following the great eastern Japan earthquake and tsunami

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Abstract

Context

In March of 2011 a huge tsunami devastated forest habitats along the coast of Sendai Bay in northeastern Japan. Evaluation and monitoring of the changes in habitat connectivity caused by this disaster are essential for managing the recovery of ecosystems and biodiversity.

Objectives

This research is designed to clarify changes in habitat connectivity caused by the tsunami, as well as subsequent changes due to the process of recovery and restoration.

Methods

Forest patch distribution maps were constructed from remote sensing data for 2010, just before the tsunami, 2011, immediately after the tsunami, and 2012 and 2016. A binary connection model was employed to generate forest patch network maps for each of the target years, for connectivity distances of 100 m, 800 m and 2500 m. Also, two quantitative connectivity indices, the Integral Index of Connectivity and Class Coincidence Probability were used to assess the changes in continuity.

Results

The forest patch network map and quantitative indices analysis both showed that not only had the forest habitats been reduced and fragmented by the tsunami, but that continuity kept declining in the following year. By 2016, however, newly established forest patches connected with extant ones, resulting in a slight recovery in habitat connectivity.

Conclusions

The network maps allowed clear visualization of changes in connectivity over the study period, and were backed up by quantitative results from the indices. This method is relevant for conservation of species with diverse mobility and habitat continuity needs, and for management and restoration of coastal ecosystems.

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References

  • Bakker JP, Poschlod P, Strykstra RJ, Bekker RM, Thompson K (1996) Seed banks and seed dispersal: important topics in restoration ecology. Acta Bot Neerl 45:461–490

    Article  Google Scholar 

  • Clauzel C, Foltête J-C, Girardet X, Vuidel G (2017) Graphab 2.2 software user manual. https://sourcesup.renater.fr/graphab/download/manual-2.2-en.pdf. Accessed 3 March 2020

  • Clauzel C, Xiqing D, Gongsheng W, Giraudoux P, Li L (2015) Assessing the impact of road developments on connectivity across multiple scales: application to Yunnan snub-nosed monkey conservation. Biol Conserv 192:207–217

    Article  Google Scholar 

  • Crooks KR, Sanjayan M (2006) Connectivity conservation: maintaining connections for nature. Connect Conserv Cambridge, UK Cambridge Univ Press, Cambridge, pp 1–10

    Book  Google Scholar 

  • Ewers RM, Thorpe S, Didham RK (2007) Synergistic interactions between edge and area effects in a heavily fragmented landscape. Ecology 88:96–106

    Article  PubMed  Google Scholar 

  • Fagan WF, Calabrese JM (2006) Quantifying connectivity: balancing metric performance with data requirements. In: Crooks KR, Sanjayan M (eds) Connectivity conservation. Cambridge University Press, Cambridge, pp 297–317

    Chapter  Google Scholar 

  • Foltête J, Clauzel C, Vuidel G (2012) A software tool dedicated to the modelling of landscape networks. Environ Model Softw 38:316–327

    Article  Google Scholar 

  • Fraterrigo JM, Rusak JA (2008) Disturbance-driven changes in the variability of ecological patterns and processes. Ecol Lett 11:756–770

    Article  PubMed  Google Scholar 

  • Guo X, Coops NC, Gergel SE, Bater CW, Nielsen SE, Stadt JJ, Drever M (2018) Integrating airborne lidar and satellite imagery to model habitat connectivity dynamics for spatial conservation prioritization. Landsc Ecol 33:1–21

    Article  Google Scholar 

  • Geospatial Information Authority of Japan, Ministry of Land, Infrastructure, Transport and Tourism of Japan (2016) Provision of information on the 2011 Great East Japan Earthquake. https://www.gsi.go.jp/BOUSAI/h23_tohoku.html. Accessed 3 March 2020

  • Haas CA (1995) Dispersal and use of corridors by birds in wooded patches on an agricultural landscape. Conserv Biol 9:845–854

    Article  Google Scholar 

  • Hara K (2014) Damage to coastal vegetation due to the 2011 tsunami in northeast Japan and subsequent restoration process: analyses using remotely sensed data. Glob Environ Res 18:27–34

    Google Scholar 

  • Hara K, Zhao Y, Tomita M, Kamagata N, Li Y (2016) Impact of the great east Japan Earthquake and Tsunami on Coastal Vegetation and Landscapes in Northeast Japan: Findings Based on Remotely Sensed Data Analysis. In: Urabe J, Nakashizuka T (eds) Ecological Impacts of Tsunamis on Coastal Ecosystems. Springer, Tokyo, pp 253–269

    Chapter  Google Scholar 

  • Harada I, Hara K, Park J, Asanuma I, Tomita M, Hasegawa D, Short K, Fujihara M (2015) Monitoring of rapid land cover changes in eastern Japan using Terra/MODIS data. ISPRS - Int Arch Photogramm Remote Sens Spat Inf Sci 7(3):403–408

    Article  Google Scholar 

  • Helm A, Hanski I, Pärtel M (2006) Slow response of plant species richness to habitat loss and fragmentation. Ecol Lett 9:72–77

    PubMed  Google Scholar 

  • Hernandez A, Miranda M, Arellano EC, Saura S, Ovalle C (2015) Landscape dynamics and their effect on the functional connectivity of a Mediterranean landscape in Chile. Ecol Indic 48:198–206

    Article  Google Scholar 

  • Hirabuki Y, Tomita M, Kanno H, Hara K (2011) Impact of Great East Japan Earthquake and subsequent tsunami on vegetation in the sand-dune coastal ecotone along the shores of Sendai Bay, in the Tohoku District of northern Japan. Med Plants Res 33:45–57 (in Japanese with English abstract)

    Google Scholar 

  • Hirayama H, Sharma RC, Tomita M, Hara K (2018) Evaluating multiple classifier system for the reduction of salt-and-pepper noise in the classification of very-high-resolution satellite images. Int J Remote Sens 40:2542–2557

    Article  Google Scholar 

  • Hirayama H, Tomita M, Sharma RC, Hara K (2019) Land-cover Maps using Multiple classifier system for post-disaster landscape monitoring. ISPRS-Int Arch Photogramm Remote Sens Spat Inf Sci 3(8):139–142

    Article  Google Scholar 

  • Honorato R, Crouzeilles R, Ferreira MS, Grelle CEV (2015) The effects of habitat availability and quality on small mammals abundance in the Brazilian Atlantic Forest. Nat e Conserv 13:133–138

    Article  Google Scholar 

  • Huang Y, Xing A, Cao M, Zhang S, Li Z, Huang Y, Zhuo Z, Zhang L, Sun Z (2018) Prioritizing abandoned mine lands rehabilitation: combining landscape connectivity and pattern indices with scenario analysis using land-use modeling. ISPRS Int J Geo-Inform 7:305

    Article  Google Scholar 

  • Ishihara M, Tadono T (2017) Land cover changes induced by the great east Japan earthquake in 2011. Sci Rep 7:45769

    Article  PubMed  PubMed Central  Google Scholar 

  • Jaeger JAG (2000) Landscape division, splitting index, and effective mesh size: new measures of landscape fragmentation. Landsc Ecol 15:115–130

    Article  Google Scholar 

  • Kanno H, Hirabuki Y, Sugiyama T, Tomita M, Hara K (2014) Veg- etation change in various coastal forest habitats after a huge tsunami: a three-year study. Jpn J Conserv Ecol 19:201–220 (in Japanese with English abstract)

    CAS  Google Scholar 

  • Kindlmann P, Burel F (2008) Connectivity measures: a review. Landsc Ecol 23:879–890

    Google Scholar 

  • Koyanagi T, Kusumoto Y, Yamamoto S, Okubo S, Iwasaki N, Takeuchi K (2012) Grassland plant functional groups exhibit distinct time-lags in response to historical landscape change. Plant Ecol 213:327–338

    Article  Google Scholar 

  • Lindenmayer DB, Fischer J (2007) Habitat fragmentation and landscape change: an ecological and conservation synthesis. Island Press, Washington

    Google Scholar 

  • Lutz Eckstein R, Hölzel N, Danihelka J (2006) Biological Flora of Central Europe: Viola elatior, V. pumila and V. stagnina. Perspect Plant Ecol Evol Syst 8:45–66

    Article  Google Scholar 

  • Matsumoto H, Kumagai M, Yoshida M (2013) Paleo-tsunami deposit of 2050 years ago and its inundation distance, on the Sendai Coastal Lowland, Northeast Japan. J Hum Inform 18:79–94

    Google Scholar 

  • McRae BH, Kavanagh DM (2011) Linkage mapper connectivity analysis software. The Nature Conservancy, Seattle WA

    Google Scholar 

  • Minor ES, Urban DL (2008) A graph-theory framework for evaluating landscape connectivity and conservation planning. Conserv Biol 22:297–307

    Article  PubMed  Google Scholar 

  • Osawa S, Nanaumi E (2015) The characteristics of the premises for- ests, known as Igune, and the damage caused by recent tsunamis to the forests around the Okuma district, Watari town, in the central region of the Sendai plains. J Jpn Inst Landsc Archit 78:755–760 (in Japanese with English abstract)

    Article  Google Scholar 

  • 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. Landsc Ecol 21:959–967

    Article  Google Scholar 

  • Perez-Hernandez CG, Vergara PM, Saura S, Hernandez J (2014) Do corridors promote connectivity for bird-dispersed trees? The case of Persea lingue in Chilean fragmented landscapes. Landsc Ecol 30:77–90

    Article  Google Scholar 

  • Römer H, Willroth P, Kaiser G, Vafeidis AT, Ludwig R, Sterr H, Revilla Diez J (2012) Potential of remote sensing techniques for tsunami hazard and vulnerability analysis -a case study from Phang-Nga province, Thailand. Nat Hazards Earth Syst Sci 12:2103–2126

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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 (Cop) 33:523–537

    Google Scholar 

  • Saura S, Torne J (2009) Conefor Sensinode 2.2: a software package for quantifying the importance of habitat patches for landscape connectivity. Environ Modell Softw 24:135–139

    Article  Google Scholar 

  • Taylor PD, Fahrig L, Henein K, Merriam G (1993) Connectivity is a vital element of landscape structure. Oikos 68:571–573

    Article  Google Scholar 

  • Tomita M, Hirabuki Y, Kanno H, Hara K (2014) Influences of large, infrequent disturbance caused by tsunami on coastal forest communities. Jpn J Conserv Ecol 19:163–176

    CAS  Google Scholar 

  • Tomita M, Hirabuki Y, Kanno H, Hara K (2016) Impact of the great east Japan earthquake and tsunami on coastal vegetation and landscapes in northeast Japan: findings based on remotely sensed data analysis. In: Urabe J, Nakashizuka T (eds) Ecological impacts of tsunamis on coastal ecosystems. Springer, Tokyo, pp 383–394

    Chapter  Google Scholar 

  • Tomita M, Kanno H (2019) Regional landscape-scale comparison of species composition and recruitment in remnant tree patches 3 years after the 2011 Great East Japan Earthquake and tsunami. Landsc Ecol Eng 15:185–197

    Article  Google Scholar 

  • Tucker MA, Böhning-Gaese K, Fagan WF, Fryxell JM, Van Moorter B, Alberts SC, Ali AH, Allen AM, Attias N, Avgar T, Bartlam-Brooks H (2018) Moving in the anthropocene: global reductions in terrestrial mammalian movements. Science 359:466–469

    Article  CAS  PubMed  Google Scholar 

  • Turner MG (2010) Disturbance and landscape dynamics in a changing world. Ecology 91(10):2833–2849

    Article  PubMed  Google Scholar 

  • Ujiie S, Baba H, Osawa S, Ishikawa M (2013) Study on damage situ- ation of Igune by a salt of tsunami and the disaster prevention function of igune in Sendai Plain: a case study of Sangentyaya district, Tamaura area, Iwanuma city, Miyagi Prefecture. J City Plan Inst Jpn 48:100–109 (in Japanese with English abstract)

    Google Scholar 

  • Urban D, Keitt T (2001) Landscape connectivity: a graph-theoretic perspective. Ecology 82:1205–1218

    Article  Google Scholar 

  • Urban DL, Minor ES, Treml EA, Schick RS (2009) Graph models of habitat mosaics. Ecol Lett 12:260–273

    Article  PubMed  Google Scholar 

  • Vasudev D, Fletcher RJ, Goswami VR, Krishnadas M (2015) From dispersal constraints to landscape connectivity: lessons from species distribution modeling. Ecography (Cop) 38:967–978

    Article  Google Scholar 

  • Vogt P, Riitters KH, Iwanowski M, Estreguil C, Kozak J, Soille P (2007) Mapping landscape corridors. Ecol Indic 7:481–488

    Article  Google Scholar 

  • Volk XK, Gattringer JP, Otte A, Harvolk-Schöning S (2018) Connectivity analysis as a tool for assessing restoration success. Landsc Ecol 33:1–17

    Article  Google Scholar 

  • Vos CC, Berry P, Opdam P, Baveco H, Nijhof B, O’Hanley J, Bell C, Kuipers H (2008) Adapting landscapes to climate change: examples of climate-proof ecosystem networks and priority adaptation zones. J Appl Ecol 45:1722–1731

    Article  Google Scholar 

  • Wilcove DS, McLellan CH, Dobson AP (1986) Habitat fragmentation in the temperate zone. Conserv Biol 6:237–256

    Google Scholar 

  • Wilcove DS, Rothstein D, Dubow J, Phillips A, Losos E (1998) Quantifying threats to imperiled species in the United States. Bioscience 48:607–615

    Article  Google Scholar 

  • Zhao Y, Tomita M, Hara K (2013) Landscape change analysis before and after the earthquake disaster in Sendai coastal area by using SPOT satellite data. J Nat Restor Conserv 6:43–49

    Google Scholar 

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Acknowledgements

The authors wish to thank Kevin Short for editorial assistance. This research was supported in part by Nippon Life Insurance Foundation (2017-I-02), and JSPS KAKENHI Grant Number JP19H04320.

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Authors and Affiliations

  1. Graduate School of Tokyo University of Information Sciences, 4-1 Onaridai, Wakaba-ku, Chiba, 265-8501, Japan

    Hidetake Hirayama

  2. Department of Informatics, Tokyo University of Information Sciences, 4-1 Onaridai, Wakaba-ku, Chiba, 265-8501, Japan

    Mizuki Tomita & Keitarou Hara

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  1. Hidetake Hirayama
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  2. Mizuki Tomita
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Correspondence to Hidetake Hirayama.

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Hirayama, H., Tomita, M. & Hara, K. Quantitative monitoring of changes in forest habitat connectivity following the great eastern Japan earthquake and tsunami. Landscape Ecol 35, 1519–1530 (2020). https://doi.org/10.1007/s10980-020-01034-4

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