BibTex RIS Kaynak Göster

Scenario Analysis for Seeking Cost-Effective Management Using Cellular Automaton-based Model of Invasive Species

Yıl 2013, Cilt: 1 Sayı: 2, 60 - 67, 21.10.2013

Öz

In this study we evaluate and compare different invasive species management scenarios in order to investigate a cost-effective management strategy over space and time.  Cost effectiveness matters because budget constraints limit the area that can be treated to mitigate the risk of invasion in any given year.  The spatial nature of invasive species spread makes it important to effectively allocate budget resources to control spread over space and time.  We develop and use a simulation model to examine and compare the effect of various management strategies on the pattern and extent of invasive species spread, as well as management costs.  Our model is based on a biological model that captures the dynamic and spatial aspect of invasion, integrated with a spatially explicit dynamic decision tool.  Our model explicitly integrates the tradeoff between management intensity and management cost, and quantifies this tradeoff, which is important information for allocating management efforts efficiently and effectively over space and time.

Kaynakça

  • Alofs, K.M. and N.L. Fowler (2010) Habitat fragmentation caused by woody plant encroachment inhibits the spread of an invasive grass, Journal of Applied Ecology 47 (2): 338-347.
  • Cain, M.L., Milligan, B.G., Strand, A.E. (2000), Long-distance seed dispersal in plant populations, American Journal of Botany, 87:1217-1227.
  • Cannas, S.A., Páez S.A. and Marco, D.E. (1999) Modeling plant spread in forest ecology using cellular automata. Computer Physics Communications 121€“122: 131€“135.
  • Cannas, S A, D.E. Marco, S A Páez. Modelling biological invasions: species traits, species interactions and habitat heterogeneity. Mathematical Biosciences 183 (2003): 93-110.
  • Cannas, S.A., Marco, D.E., Montemurrod, M.A. , Long range dispersal and spatial pattern formation in biological invasions, Mathematical Biosciences (2006) 203(2): 155-170.
  • Carrasco, L.R., Baker, R., MacLeod, A., Knight, J.D., Mumford, J.D. Optimal and robust control of invasive alien species spreading in homogeneous landscapes, Journal of Royal Society Interface, (2010) 7:529-540.
  • Collingham, YC, Hill MO and Huntley B. The migration of sessile organisms: a simulation model with measurable parameters. Journal of Vegetation Science (1996), 7: 831-846
  • Epanchin-Niell, R.S. and Wilen, J.E. Optimal control of spatial-dynamic processes: The case of biological invasion, Discussion Paper, Resource for the Future, REF DP 11-07 (2011) 35p.
  • Grevstad, F. Simulating control strategies for a spatially structured weed invasion: Spartina alterniflora (Loisel) in Pacific Coast estuaries. Biological Invasions, (2005) 7(4): 665-677.
  • Haight, R G, Homans, F R, Horie, T, Mehta, S V, Smith, D J,Venette, R C. Assessing the cost of an invasive forest pathogen; A case study with oak wilt. Environmental Management (2011) 47: 506-517.
  • Knick, S.T., Rotenberry, J.T. 1997, Landscape characteristics of disturbed shrubsteppe habitats in southwestern Idaho (U.S.A.), Landscape Ecology 12: 287€“297
  • Leung, B., Lodge, D. M., Finnoff, D., Shogren, J. F., Lewis, M. A., Lamberti, G. An ounce of prevention or a pound of cure: bioeconomic risk analysis of invasive species Proceedings of the Royal Society of London Series B 269 (2002) 1508:2407-2413
  • Lodge DM, Williams S, MacIsaac HJ, Hayes KR, Leung B, Reichard S, Mack RN, Moyle PB, Smith M, Andow DA, Carlton JT, McMichael A. 2006, Biological invasions: recommendations for U.S. policy and management, Ecological Applications 16(6): 2035-2054.
  • Mack, R.N. Simberloff, C.D., Lonsdale, W. M., Evans, H., Clout, M., Bazzaz, F., 2000. Biotic Invasions: Causes, Epidemiology, Global Consequences and Control, Ecological Applications 10: 689-710.
  • Marco,D.E., Páez, S.A., Cannas, S.A. 2002, Species Invasiveness in Biological Invasions: A Modelling Approach, Biological Invasions 4(1-2): 193-205.
  • Mehta, S.V., Haight, R.G., Homans, F.R., Polasky, S. (2007) Optimal Detection and Control Strategies for Invasive Species Management, Ecol. Econ. 61, 237-245.
  • Menz, K.M., Auld, B.A. 1977, Galvanised burr, control and public policy towards weeds, Search, 8(8): 281-287.
  • Mercader, R. J., Siegert, N. W., Liebhold, A.M.,McCullough,D.G. 2010, Influence of foraging behavior and host spatial distribution on the localized spread of the emerald ash borer, Agrilus planipennis. Population Ecology 53(2): 271-285.
  • Microsoft Corporation. 1995. Microsoft Visual C++ User's Guide: Microsoft Visual C++. Redmond, Wash.: Microsoft Press.
  • Murphy, H.T., Hardesty, B.D., Fletcher, C.S., Metcalfe, D.J., Wetcalfe, D.J., Brooks, S.J. 2008, Predicting dispersal and recruitment of Miconia calvescens (Melastomataceae) in Australian tropical rainforests. Biological Invasions 10: 925-936.
  • Pearson, R. G., Dawson, T. P. 2005, Long-distance plant dispersal and habitat fragmentation: identifying conservation targets for spatial landscape planning under climate change. Biological Conservation 123:389-401.
  • Pimentel, D., McNair, S., Janecka, J., Wightman, J., Simmonds, C., O'Connell, C., Wong, E., Russel, L., Zern, J., Aquino, T., Tsomondo, T. 2001, Economic and environmental threats of alien plant, animal, and microbe invasions. Agriculture, Ecosystems and Environment, 84:1€“20.
  • Rejmánek, M., Pitcairn, M. J. 2002, When is eradication of exotic pest plants a realistic goal? Pages 249€“253 in C. R. Veitch and M. N. Clout, eds. Proceedings of the International Conference on Eradication of Island Invasives. Turning the Tide: The Eradication of Invasive Species. Gland, Switzerland: IUCN SSC Invasive Species Specialist Group.
  • Sharov, A.A. 2004, Bioeconomics of Managing the Spread of Exotic Pest Species with Barrier Zones, Risk Analysis, 24(4): 879-891.
  • Sharov, A.A. Liebhold, A.M. 1998a, Quantitative analysis of gypsy moth spread in the Central Appalachians. In J. Braumgartner, P. Brandmayer,& B. F. J.Manly (Eds.), Population and Community Ecology for Insect Management and Conservation (pp. 99€“110). Rotterdam: Balkema.
  • Sharov, A.A. Liebhold, A.M. 1998b, Model of slowing the spread of gypsy moth (Lepidoptera: Lymantriidae) with a barrier zone. Ecological Applications, 8: 1170-1179.
  • Taylor, C.M., Hastings, A. 2004, Finding optimal control strategies for invasive speceies: a density-structured model for Spartina alterniflora Journal of Applied Ecology 41:1049-1057.
  • Vilà, M., Ibáñez, I. 2011, Plant invasions in the landscape. Landscape Ecol. 26:461-472.
  • Wadsworth R.A., Collingham Y.C., Willis S.G., Huntley B., Hulme P.E. 2000, Simulating the spread and management of alien riparian weeds: are they out of control? Journal of Applied Ecology 37 28-38.
  • Williams, D.A., Muchugu, E., Overholt, W.A., Cuda, J.P. 2007, Colonization patterns of the invasive Brazilian peppertree, Schinus terebinthifolius, in Florida, Heredity 98: 284€“293.
  • Williams, M.C., Wardl, G.M. 2007, Pinus radiata invasion in Australia: Identifying key knowledge gaps and research directions, Austral Ecology 32(7): 721€“739.
  • With, K.A. 2002, The landscape ecology of invasive spread. Conservation Biology 16(5): 1192-1203.

SCENARIO ANALYSIS FOR SEEKING COST-EFFECTIVE MANAGEMENT USING A CELLULAR AUTOMATON-BASED MODEL OF INVASIVE SPECIES

Yıl 2013, Cilt: 1 Sayı: 2, 60 - 67, 21.10.2013

Öz

Bu çalışmada değişen zaman ve mekan koşullarında düşük maliyetli bir yönetim stratejisi araştırmak amacıyla farklı istilacı türlerin yönetim senaryoları karşılaştırılıp değerlendirilmiştir. Düşük maliyet önemlidir çünkü, yıllık bütçenin kısıtlı olması, istilacı türlerin yayılma riskinin hafifletileceği alanı sınırlar. İstilacı türlerin mekansal dağılımcı doğası, bu türlerin zamansal ve mekansal dağılım hakimiyetlerinin kontrolünü sağlayabilmek için, bütçenin etkin bir şekilde paylaşımını / kullanılmasını önemli kılmaktadır. Bu çalışma kapsamında geliştirilen benzetim modelini kullanılarak farklı yönetim stratejilerinin istilacı türlerin yayılma düzeni ve büyüklüğü üzerindeki etkisi ve bunun maliyeti irdelenip karşılaştırılmıştır. Geliştirilen model, istilanın gidişatını enerjisi ve boyutu açısından algılayabilen bir biyolojik model esasına dayanmakta ve istilanın mekansal – zamansal değişmine uygun etkin karar mekanizmasına sahiptir. Model; zaman ve mekan içindeki yönetim etkinliklerinin verimli ve etkili tahsisi için önemli bilgi olan yönetim yoğunluğu ve yönetim maliyeti arasındaki değişimi net bir şekilde entegre eder ve bu değişimi sayısallaştırır.

Kaynakça

  • Alofs, K.M. and N.L. Fowler (2010) Habitat fragmentation caused by woody plant encroachment inhibits the spread of an invasive grass, Journal of Applied Ecology 47 (2): 338-347.
  • Cain, M.L., Milligan, B.G., Strand, A.E. (2000), Long-distance seed dispersal in plant populations, American Journal of Botany, 87:1217-1227.
  • Cannas, S.A., Páez S.A. and Marco, D.E. (1999) Modeling plant spread in forest ecology using cellular automata. Computer Physics Communications 121€“122: 131€“135.
  • Cannas, S A, D.E. Marco, S A Páez. Modelling biological invasions: species traits, species interactions and habitat heterogeneity. Mathematical Biosciences 183 (2003): 93-110.
  • Cannas, S.A., Marco, D.E., Montemurrod, M.A. , Long range dispersal and spatial pattern formation in biological invasions, Mathematical Biosciences (2006) 203(2): 155-170.
  • Carrasco, L.R., Baker, R., MacLeod, A., Knight, J.D., Mumford, J.D. Optimal and robust control of invasive alien species spreading in homogeneous landscapes, Journal of Royal Society Interface, (2010) 7:529-540.
  • Collingham, YC, Hill MO and Huntley B. The migration of sessile organisms: a simulation model with measurable parameters. Journal of Vegetation Science (1996), 7: 831-846
  • Epanchin-Niell, R.S. and Wilen, J.E. Optimal control of spatial-dynamic processes: The case of biological invasion, Discussion Paper, Resource for the Future, REF DP 11-07 (2011) 35p.
  • Grevstad, F. Simulating control strategies for a spatially structured weed invasion: Spartina alterniflora (Loisel) in Pacific Coast estuaries. Biological Invasions, (2005) 7(4): 665-677.
  • Haight, R G, Homans, F R, Horie, T, Mehta, S V, Smith, D J,Venette, R C. Assessing the cost of an invasive forest pathogen; A case study with oak wilt. Environmental Management (2011) 47: 506-517.
  • Knick, S.T., Rotenberry, J.T. 1997, Landscape characteristics of disturbed shrubsteppe habitats in southwestern Idaho (U.S.A.), Landscape Ecology 12: 287€“297
  • Leung, B., Lodge, D. M., Finnoff, D., Shogren, J. F., Lewis, M. A., Lamberti, G. An ounce of prevention or a pound of cure: bioeconomic risk analysis of invasive species Proceedings of the Royal Society of London Series B 269 (2002) 1508:2407-2413
  • Lodge DM, Williams S, MacIsaac HJ, Hayes KR, Leung B, Reichard S, Mack RN, Moyle PB, Smith M, Andow DA, Carlton JT, McMichael A. 2006, Biological invasions: recommendations for U.S. policy and management, Ecological Applications 16(6): 2035-2054.
  • Mack, R.N. Simberloff, C.D., Lonsdale, W. M., Evans, H., Clout, M., Bazzaz, F., 2000. Biotic Invasions: Causes, Epidemiology, Global Consequences and Control, Ecological Applications 10: 689-710.
  • Marco,D.E., Páez, S.A., Cannas, S.A. 2002, Species Invasiveness in Biological Invasions: A Modelling Approach, Biological Invasions 4(1-2): 193-205.
  • Mehta, S.V., Haight, R.G., Homans, F.R., Polasky, S. (2007) Optimal Detection and Control Strategies for Invasive Species Management, Ecol. Econ. 61, 237-245.
  • Menz, K.M., Auld, B.A. 1977, Galvanised burr, control and public policy towards weeds, Search, 8(8): 281-287.
  • Mercader, R. J., Siegert, N. W., Liebhold, A.M.,McCullough,D.G. 2010, Influence of foraging behavior and host spatial distribution on the localized spread of the emerald ash borer, Agrilus planipennis. Population Ecology 53(2): 271-285.
  • Microsoft Corporation. 1995. Microsoft Visual C++ User's Guide: Microsoft Visual C++. Redmond, Wash.: Microsoft Press.
  • Murphy, H.T., Hardesty, B.D., Fletcher, C.S., Metcalfe, D.J., Wetcalfe, D.J., Brooks, S.J. 2008, Predicting dispersal and recruitment of Miconia calvescens (Melastomataceae) in Australian tropical rainforests. Biological Invasions 10: 925-936.
  • Pearson, R. G., Dawson, T. P. 2005, Long-distance plant dispersal and habitat fragmentation: identifying conservation targets for spatial landscape planning under climate change. Biological Conservation 123:389-401.
  • Pimentel, D., McNair, S., Janecka, J., Wightman, J., Simmonds, C., O'Connell, C., Wong, E., Russel, L., Zern, J., Aquino, T., Tsomondo, T. 2001, Economic and environmental threats of alien plant, animal, and microbe invasions. Agriculture, Ecosystems and Environment, 84:1€“20.
  • Rejmánek, M., Pitcairn, M. J. 2002, When is eradication of exotic pest plants a realistic goal? Pages 249€“253 in C. R. Veitch and M. N. Clout, eds. Proceedings of the International Conference on Eradication of Island Invasives. Turning the Tide: The Eradication of Invasive Species. Gland, Switzerland: IUCN SSC Invasive Species Specialist Group.
  • Sharov, A.A. 2004, Bioeconomics of Managing the Spread of Exotic Pest Species with Barrier Zones, Risk Analysis, 24(4): 879-891.
  • Sharov, A.A. Liebhold, A.M. 1998a, Quantitative analysis of gypsy moth spread in the Central Appalachians. In J. Braumgartner, P. Brandmayer,& B. F. J.Manly (Eds.), Population and Community Ecology for Insect Management and Conservation (pp. 99€“110). Rotterdam: Balkema.
  • Sharov, A.A. Liebhold, A.M. 1998b, Model of slowing the spread of gypsy moth (Lepidoptera: Lymantriidae) with a barrier zone. Ecological Applications, 8: 1170-1179.
  • Taylor, C.M., Hastings, A. 2004, Finding optimal control strategies for invasive speceies: a density-structured model for Spartina alterniflora Journal of Applied Ecology 41:1049-1057.
  • Vilà, M., Ibáñez, I. 2011, Plant invasions in the landscape. Landscape Ecol. 26:461-472.
  • Wadsworth R.A., Collingham Y.C., Willis S.G., Huntley B., Hulme P.E. 2000, Simulating the spread and management of alien riparian weeds: are they out of control? Journal of Applied Ecology 37 28-38.
  • Williams, D.A., Muchugu, E., Overholt, W.A., Cuda, J.P. 2007, Colonization patterns of the invasive Brazilian peppertree, Schinus terebinthifolius, in Florida, Heredity 98: 284€“293.
  • Williams, M.C., Wardl, G.M. 2007, Pinus radiata invasion in Australia: Identifying key knowledge gaps and research directions, Austral Ecology 32(7): 721€“739.
  • With, K.A. 2002, The landscape ecology of invasive spread. Conservation Biology 16(5): 1192-1203.
Toplam 32 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Articles
Yazarlar

Masashi Konoshima

Atsushi Yoshimoto

Yayımlanma Tarihi 21 Ekim 2013
Gönderilme Tarihi 21 Kasım 2012
Yayımlandığı Sayı Yıl 2013 Cilt: 1 Sayı: 2

Kaynak Göster

APA Konoshima, M., & Yoshimoto, A. (2013). Scenario Analysis for Seeking Cost-Effective Management Using Cellular Automaton-based Model of Invasive Species. Eurasian Journal of Forest Science, 1(2), 60-67.

 

E-posta: hbarist@gmail.com 

 

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