Annual plants under cyclic disturbance regime: Better understanding through model aggregation

Ecological Applications

Volumn 18, Issue 8, 2008, Pages 2000-2015

  Pagel, Jörn ^a   Fritzsch, Katrin ^b,c   Biedermann, Robert ^b   Schröder, Boris ^a  

^a UNIVERSITY OF POTSDAM   (Germany)

^b UNIVERSITY OF OLDENBURG   (Germany)

^c STAATLICHES MUSEUM FÜR NATURKUNDE   (Germany)

Author keywords

Conservation management; Dry grasslands; Elasticity; Individual based simulation model (IBM); Loop analysis; Model simplification; Periodic matrix population model; Seed bank; Spatial aggregation; Stability analysis; Thlaspi perfoliatum

Indexed keywords

BRASSICACEAE; MICROTHLASPI PERFOLIATUM; THLASPI; THLASPI PERFOLIATUM;

AGRICULTURE; ARTICLE; BIODIVERSITY; COMPARATIVE STUDY; ENVIRONMENTAL PROTECTION; GROWTH, DEVELOPMENT AND AGING; METHODOLOGY; POPULATION DYNAMICS; SPECIES DIFFERENCE; THEORETICAL MODEL; THLASPI; TIME;

AGRICULTURE; BIODIVERSITY; CONSERVATION OF NATURAL RESOURCES; MODELS, THEORETICAL; POPULATION DYNAMICS; SPECIES SPECIFICITY; THLASPI; TIME FACTORS;

EID: 63249105499     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/07-1305.1     Document Type: Article

References (67)

1. Bakker, J. P., A. F. Bos, J. Hoogveld, and H. J. Müller. 1991. The role of seed bank in restoration management of seminatural grasslands. Pages 449-463 in O. Ravera, editor. Terrestrial and aquatic ecosystems: perturbation and recovery. Ellis Horwood, Chichester, West Sussex, UK.
2. Baskin, J. M., and C. C. Baskin. 1979. The ecological life cycle of Thlaspi perfoliatum and a comparison with published studies on Thlaspi arvense. Weed Research 19:285-292.
3. Beissinger, T. C., and M. I. Westphal. 1998. On the use of demographic models of population viability analysis in endangered species management. Journal of Wildlife Management 62:821-841. (Pubitemid 28348855)
4. Binzenhöfer, B., B. Schröder, R. Biedermann, B. Strauss, and J. Settele. 2005. Habitat models and habitat connectivity analysis for butterflies and burnet moths-The example of Zygaena carniolica and Coenonympha arcania. Biological Conservation 126:247-259. (Pubitemid 41113250)
5. Bolker, B. M., D. H. Deutschmann, G. Hartvigsen, and D. L. Smith. 1997. Individual-based modelling: What is the difference? Trends in Ecology and Evolution 12:111.
6. Bolker, B. M., and S. W. Pacala. 1997. Using moment equations to understand stochastically driven spatial pattern formation in ecological systems. Theoretical Population Biology 52:179-197. (Pubitemid 28091654)
7. Bolker, B. M., and S. W. Pacala. 1999. Spatial moment equations for plant competition: understanding spatial strategies and the advantages of short dispersal. American Naturalist 153:575-602. (Pubitemid 29347838)
8. Caswell, H. 2001. Matrix population models. Second edition. Sinauer, Sunderland, Massachusetts, USA.
9. Caswell, H., T. Takada, and C. M. Hunter. 2004. Sensitivity analysis of equilibrium in density-dependent matrix population models. Ecology Letters 7:380-387. (Pubitemid 38673695)
10. Caughley, G. 1994. Directions in conservation biology. Journal of Animal Ecology 63:215-244.
11. DeAngelis, D. L., and W. M. Mooij. 2005. Individual-based modeling of ecological and evolutionary processes. Annual Review of Ecology, Evolution, and Systematics 36:147-168. (Pubitemid 43068854)
12. de Kroon, H., J. van Groenendael, and J. Ehrlén. 2000. Elasticities: A review of methods and model limitations. Ecology 81:607-618. (Pubitemid 30437987)
13. Ellenberg, H. 1996. Vegetation Mitteleuropas mit den Alpen in ökologischer, dynamischer und historischer Sicht. Fifth edition. Ulmer Verlag, Stuttgart, Germany.
14. Fahse, L., C. Wissel, and V. Grimm. 1998. Reconciling classical and individual-based approaches in theoretical ecology: A protocol for extracting population parameters from individual-based models. American Naturalist 152:838-852. (Pubitemid 28542302)
15. Fritzsch, K. 2004. Plant response to changes in disturbance magnitude. Dissertation. Carl-von-Ossietzky University, Oldenburg, Germany. hhttp://docserver.bis.uni-oldenburg. de/publikationen/dissertation/2004/ fripla04/fripla04.htmli
16. Garcia, A. 1992. Conserving the species-rich meadows of Europe. Agricultural Ecosystems and Environments 40:219-232. (Pubitemid 23401041)
17. Giho, H., and H. Seno. 1997. Transition matrix modelling on disturbance-controlled persistence of plant population. Ecological Modelling 94:207-219.
18. Gómez-Mourelo, P. 2005. From individual-based models to partial differential equations-An application to the upstream movement of elvers. Ecological Modelling 188: 93-111. (Pubitemid 41414634)
19. Grimm, V. 1999. Ten years of individual-based modeling in ecology: What have we learned and what could we learn in the future? Ecological Modeling 115:129-148. (Pubitemid 29111904)
20. Grimm, V., et al. 2006. A standard protocol for describing individual-based and agent-based models. Ecological Modelling 198:115-126. (Pubitemid 44308373)
21. Grimm, V., and S. F. Railsback. 2005. Individual-based modelling and ecology. Princeton University Press, Princeton, New Jersey, USA.
22. Grimm, V., T. Wyszomirski, D. Aikman, and J. Uchmanski. 1999. Individual based modelling and ecological theory: synthesis of a workshop. Ecological Modelling 115:275-282. (Pubitemid 29111914)
23. Grubb, P. J. 1977. The maintenance of species-richness in plant communities: The importance of the regeneration niche. Biological Review 52:107-145.
24. Harada, Y., and Y. Iwasa. 1994. Lattice population dynamics for plants with dispersing seeds and vegetative propagation. Researches on Population Ecology 36:237-249.
25. Hodgson, D. J., and S. Townley. 2004. Linking management changes to population dynamic responses: The transfer function of a projection matrix perturbation. Journal of Applied Ecology 41:1155-1161. (Pubitemid 40033201)
26. Hubbell, S. P., and P. A. Werner. 1979. On measuring the intrinsic rate of increase of populations with heterogeneous life histories. American Naturalist 133:277-293.
27. Huston, M., D. L. DeAngelis, and W. Post. 1988. New computer models unify ecological theory: Computer simulations show that many ecological patterns can be explained by interactions among individual organisms. Bioscience 38:682-691.
28. Kalisz, S. 1991. Experimental determination of seed bank age structure in the winter annual Collinsa verna. Ecology 72: 575-585.
29. Kalisz, S., and M. A. McPeek. 1992. Demography of an agestructured annual: resampled projection matrices, elasticity analysis, and seed bank effects. Ecology 73:1082-1093.
30. Kalisz, S., and M. A. McPeek. 1993. Extinction dynamics, population growth and seed banks. An example using an agestructured annual. Oecologia 95:314-320.
31. Kleyer, M., R. Biedermann, K. Henle, H.-J. Poethke, P. Poschlod, B. Schröder, J. Settele, and D. Vetterlein. 2007. Mosaic cycles of habitat quality in grasslands of Central Europe. Basic and Applied Ecology 8:295-309. (Pubitemid 46856904)
32. Law, R., and U. Dieckmann. 2000. A dynamical system for neighbourhoods in plant communities. Ecology 81:2137-2148.
33. Law, R., U. Dieckmann, and J. A. J. Metz. 2000. Introduction. Pages 1-6 in U. Dieckmann, R. Law, and J. A. J. Metz, editors. The geometry of ecological interactions: simplifying spatial complexity. Cambridge University Press, Cambridge, UK.
34. Law, R., D. J. Murrell, and U. Dieckmann. 2003. Population growth in space and time: spatial logistic equations. Ecology 84:252-262. (Pubitemid 36893001)
35. Leslie, P. H. 1945. On the use of matrices in certain population mathematics. Biometrika 33:183-212.
36. Lischke, H., T. J. Löffler, and A. Fischlin. 1998. Aggregation of individual trees and patches in forest succession models: capturing variability with height structured random dispersions. Theoretical Population Biology 54:213-226. (Pubitemid 29000620)
37. Lischke, H., T. J. Löffler, P. E. Thornton, and N. E. Zimmermann. 2007. Model-upscaling in landscape research. Pages 249-272 in F. Kienast, O. Wildi, and S. Ghosh, editors. A changing world: challenges for landscape research. Springer, Dordrecht, The Netherlands.
38. Mahdi, A., and R. Law. 1987. On the spatial organization of plant species in a limestone grassland community. Journal of Ecology 75:459-476.
39. Matsuda, H. N., A. Ogita, A. Sasaki, and K. Sato. 1992. Statistical mechanics of population: The lattice Lotka-Volterra model. Progress in Theoretical Physics 88:1035-1049.
40. Menges, E. S. 2000. Population viability analyses in plants: challenges and opportunities. Trends in Ecology and Evolution 15:51-55.
41. Mertens, S. K., J. M. Yearsley, F. van den Bosch, and C. A. Gilligan. 2006. Transient population dynamics in periodic matrix models: methodology and effects of cyclic perturbations. Ecology 87:2338-2348. (Pubitemid 44371436)
42. Mistro, D. C., L. A. D. Rodrigues, and A. B. Schmid. 2005. A mathematical model for dispersal of an annual plant population with a seed bank. Ecological Modelling 188:52-61. (Pubitemid 41414631)
43. Muller, S. 2002. Diversity of management practices required to ensure conservation of rare and locally threatened plant species in grasslands: A case study at a regional scale (Lorraine, France). Biodiversity and Conservation 11:1173-1184. (Pubitemid 34780778)
44. Murdoch, A. J. 1998. Dormancy cycles of weed seeds in soil. Pages 119-126 in G. T. Champion, A. C. Grundy, N. E. Jones, E. J. P. Marshall, and R. J. Froud-Williams, editors. Aspects of applied biology 51, weed seedbanks: determination, dynamics and manipulation. Association of Applied Biologists, Warwick, UK. (Pubitemid 128066765)
45. Neubert, M. G., and H. Caswell. 2000. Density-dependent vital rates and their population dynamic consequences. Journal of Mathematical Biology 41:103-121.
46. Oberdorfer, E. 1978. Süddeutsche Pflanzengemeinschaften Teil II. Fischer-Verlag, Stuttgart, Germany.
47. Peck, S. L. 2004. Simulation as experiment: A philosophical reassessment for biological modeling. Trends in Ecology and Evolution 19:530-534. (Pubitemid 39234759)
48. Picard, N., and A. Franc. 2001. Aggregation of an individualbased space-dependent model of forest dynamics into distribution-based and space-independent models. Ecological Modelling 145:69-84. (Pubitemid 33136672)
49. Rich, T. C. C., C. R. Lambrick, C. Kitchen, and M. A. R. Kitchen. 1998. Conserving Britain's biodiversity. I: Thlaspi perfoliatum L. (Brassiaceae), cotswold pennycress. Biodiversity and Conservation 7:915-926. (Pubitemid 28532280)
50. Rothmaler, W. 1991. Atlas der Gefässpflanzen. Volk und Wissen Verlag, Berlin, Germany.
51. Rudner, M., R. Biedermann, B. Schröder, and M. Kleyer. 2007. Integrated grid based ecological and economic (INGRID) landscape model: A tool to support landscape management decisions. Environmental Modelling and Software 22:177-187. (Pubitemid 44508672)
52. Ruxton, G. D. 1996. Dispersal and chaos in spatially structured models: An individual-level approach. Journal of Animal Ecology 65:161-169.
53. Schröder, B., M. Rudner, R. Biedermann, H. Kögl, and M. Kleyer. 2008. A landscape model for quantifying the tradeoff between conservation needs and economic constraints in the management of a semi-natural grassland community. Biological Conservation 141:719-732.
54. Silvertown, J. 1988. The demographic and evolutionary consequences of seed dormancy. Pages 205-219 in M. J. Davy, M. S. Hutchings, and A. R. Watkinson, editors. Plant population ecology. Blackwell Scientific, Oxford, UK.
55. Silvertown, J. H., and J. Lovett Doust. 2001. Introduction to plant population biology. Blackwell Scientific, Oxford, UK.
56. Symonides, E. 1988. Population dynamics of annual plants. Pages 221-245 in M. J. Davy, M. S. Hutchings, and A. R. Watkinson, editors. Plant population ecology. Blackwell Scientific, Oxford, UK.
57. Tietjen, B., and A. Huth. 2006. Modelling dynamics of managed tropical rainforests: An aggregated approach. Ecological Modelling 199:421-432. (Pubitemid 44692951)
58. Turkington, R., and J. L. Harper. 1979. The growth, distribution and neighbour relationships of Trifolium repens in a permanent pasture. I. Ordination, pattern and contact. Journal of Ecology 67:201-208.
59. Uchmański, J., and V. Grimm. 1996. Individual-based modelling in ecology: What makes the difference? Trends in Ecology and Evolution 11: 437-441. (Pubitemid 27048367)
60. van Groenendael, J., H. de Kroon, S. Kalisz, and S. Tuljapurkar. 1994. Loop analysis: evaluating life history pathways in population projection matrices. Ecology 75: 2410-2415.
61. Wardle, G. M. 1998. A graph theory approach to demographic loop analysis. Ecology 79:2539-2549. (Pubitemid 28472089)
62. Wiegand, T., F. Jeltsch, I. Hanski, and V. Grimm. 2003. Using pattern oriented modeling for revealing hidden information: A key for reconciling ecological theory and application. Oikos 100:209-222. (Pubitemid 36610466)
63. Wiegand, T., J. Naves, T. Stephan, and A. Fernandez. 1998. Assessing the risk of extinction for the brown bear (Ursus arctos) in the Cordillera Cantabrica, Spain. Ecological Monographs 68:539-570. (Pubitemid 28504295)
64. Wilson, W. G. 1998. Resolving discrepancies between deterministic population models and individual-based simulations. American Naturalist 151:116-134. (Pubitemid 28102151)
65. Wisdom, M. J., L. S. Mills, and D. F. Doak. 2000. Life stage simulation analysis: estimating vital-rate effects on population growth for conservation. Ecology 81:628-641. (Pubitemid 30437989)
66. Wood, S. N. 2001. Partially specified ecological models. Ecological Monographs 71:1-25. (Pubitemid 32143445)
67. Yearsley, J. M., D. Fletscher, and C. Hunter. 2003. Sensitivity analysis of equilibrium population size in a density-dependent model for Short tailed Shearwaters. Ecological Modelling 163:119-129. (Pubitemid 36499840)