Newer
Older
Digital_Repository / Misc / Mass downloads / UTas / 1121.html
  1. <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
  2. "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
  3. <html>
  4. <head>
  5. <title>UTas ePrints - Mortality and predation in ecosystem models: is it important how these are expressed?</title>
  6. <script type="text/javascript" src="http://eprints.utas.edu.au/javascript/auto.js"><!-- padder --></script>
  7. <style type="text/css" media="screen">@import url(http://eprints.utas.edu.au/style/auto.css);</style>
  8. <style type="text/css" media="print">@import url(http://eprints.utas.edu.au/style/print.css);</style>
  9. <link rel="icon" href="/images/eprints/favicon.ico" type="image/x-icon" />
  10. <link rel="shortcut icon" href="/images/eprints/favicon.ico" type="image/x-icon" />
  11. <link rel="Top" href="http://eprints.utas.edu.au/" />
  12. <link rel="Search" href="http://eprints.utas.edu.au/cgi/search" />
  13. <meta content="Fulton, Elizabeth A." name="eprints.creators_name" />
  14. <meta content="Smith, Anthony D.M." name="eprints.creators_name" />
  15. <meta content="Johnson, Craig R." name="eprints.creators_name" />
  16. <meta content="beth.fulton@csiro.au" name="eprints.creators_id" />
  17. <meta name="eprints.creators_id" />
  18. <meta content="Craig.Johnson@utas.edu.au" name="eprints.creators_id" />
  19. <meta content="article" name="eprints.type" />
  20. <meta content="2007-05-31" name="eprints.datestamp" />
  21. <meta content="2008-02-04T05:27:15Z" name="eprints.lastmod" />
  22. <meta content="show" name="eprints.metadata_visibility" />
  23. <meta content="Mortality and predation in ecosystem models: is it important how these are expressed?" name="eprints.title" />
  24. <meta content="pub" name="eprints.ispublished" />
  25. <meta content="270702" name="eprints.subjects" />
  26. <meta content="restricted" name="eprints.full_text_status" />
  27. <meta content="Functional response; Mortality; Model closure; Biogeochemical; Ecosystem; Model" name="eprints.keywords" />
  28. <meta content="Definitive version available online at http://www.elsevier.com/locate/issn/03043800" name="eprints.note" />
  29. <meta content="The effects of the form of the grazing and mortality terms used in plankton models are well known. The same cannot be said for
  30. ecosystem models. As ecosystem models become more popular more needs to be known about the effects of model formulation
  31. on model behaviour and performance. The impact of the form of the grazing response function and mortality terms used in
  32. a biogeochemical ecosystem model are considered here. We show that in the large and inter-linked webs used in ecosystem
  33. models, model behaviour is far more sensitive to the form of the grazing term than to that of the mortality terms that close the
  34. modelled food web.
  35. When using biogeochemical ecosystem models in shallow marine ecosystems, the most dynamic and sophisticated functional
  36. responses describing grazing require more parameters and validation than the simpler Holling disk equation, but usually still
  37. lead to the same general conclusions about the system state and the effects of changes in forcing functions. Thus, the use of
  38. more complex functional responses is not necessarily warranted in many cases. Similarly, the extra effort and data required to
  39. explicitly represent the top predators (sharks, mammals and birds) is not necessary if they are not the focus of the study. A
  40. quadratic mortality term applied to intermediate predators (such as piscivores) is sufficient to achieve plausible model behaviour.
  41. It should be noted, however, that some degree of sophistication is required in the grazing and mortality terms. Use of simple
  42. linear functional responses and mortality terms is unsuitable for models used to consider a range of nutrient loading or harvesting
  43. scenarios." name="eprints.abstract" />
  44. <meta content="2003-11" name="eprints.date" />
  45. <meta content="published" name="eprints.date_type" />
  46. <meta content="Ecological Modelling" name="eprints.publication" />
  47. <meta content="169" name="eprints.volume" />
  48. <meta content="1" name="eprints.number" />
  49. <meta content="157-178" name="eprints.pagerange" />
  50. <meta content="10.1016/S0304-3800(03)00268-0" name="eprints.id_number" />
  51. <meta content="UNSPECIFIED" name="eprints.thesis_type" />
  52. <meta content="TRUE" name="eprints.refereed" />
  53. <meta content="0304-3800" name="eprints.issn" />
  54. <meta content="http://dx.doi.org/10.1016/S0304-3800(03)00268-0" name="eprints.official_url" />
  55. <meta content="Abrams, P.A., 1993. Why predation rate should not be proportional
  56. to predator density. Ecology 74, 726-733.
  57. Abrams, P.A., 1994. The fallacies of ''ratio-dependent'' predation.
  58. Ecology 75, 1842-1850.
  59. Abrams, P.A., Ginzburg, L.R., 2000. The nature of predation: prey
  60. dependent, ratio dependent or neither? TREE 15, 337-341.
  61. Arditi, R., Ginzburg, L.R., 1989. Coupling in predator-prey
  62. dynamics: ratio-dependence. J. Theor. Biol. 139, 311-326.
  63. Arditi, R., Saiah, H., 1992. Empirical evidence of the role of
  64. heterogeneity in ratio-dependent consumption. Ecology 73,
  65. 1544-1551.
  66. Baretta, J.W., Ebenhoh, W., Ruardij, P., 1995. The European
  67. Regional Seas Ecosystem Model, a complex marine ecosystem
  68. model. Neth. J. Sea Res. 33, 233-246.
  69. Begon, M., Mortimer, M., 1986. Population Ecology: A Unified
  70. Study of Animals and Plants. Blackwell Science Publications,
  71. London, Melbourne, Boston.
  72. Berryman, A.A., 1992. The origins and evolution of predator-prey
  73. theory. Ecology 73, 1530-1535.
  74. Brostrom, G., 1998. A note on the C/N and C/P ratio of the
  75. biological production of the Nordic seas. Tellus 50B, 93-109.
  76. Bryant, A.D., Heath, M.R., Broekhuizen, N., Ollason, J.G., Gurney,
  77. W.S.C., Greenstreet, S.P.R., 1995. Modelling the predation,
  78. growth and population dynamics of fish within a spatially-resolved
  79. shelf-sea ecosystem model. Neth. J. Sea Res. 33, 407-
  80. 421.
  81. Bussenschutt, M., Pahl-Wostl, C., 2000. A discrete, allometric
  82. approach to the modelling of ecosystem dynamics. Ecol. Model.
  83. 126, 33-48.
  84. Carpenter, S.R., Cottingham, K.L., Stow, C.A., 1994. Fitting
  85. predator-prey models to time series with observation errors.
  86. Ecology 75, 1254-1264.
  87. Chatfield, C., 1989. The Analysis of Time Series: An Introduction,
  88. 4th ed. Chapman and Hall, London, Tokyo, Melbourne, Madras.
  89. Christensen, V., Walters, C.J., Pauly, D., 2000. ECOPATH with
  90. ECOSIM: A User's Guide. October ed. Fisheries Centre,
  91. University of British Columbia, Vancouver, Canada, and
  92. International Centre for Living Aquatic Resources Management,
  93. Penang, Malaysia.
  94. DeAngelis, D.L., Goldstein, R.A., O'Neill, R.V., 1975. A model
  95. for trophic interaction. Ecology 56, 881-892.
  96. Ebenhoh, W., Kohlmeier, C., Radford, P.J., 1995. The benthic
  97. biological submodel in the European Regional Seas Ecosystem
  98. Model. Neth. J. Sea Res. 33, 423-452.
  99. Edwards, A.M., Brindley, J., 1999. Zooplankton mortality and
  100. the dynamical behaviour of plankton population models. Bull.
  101. Math. Biol. 61, 303-339.
  102. Edwards, A.M., Yool, A., 2000. The role of higher predation in
  103. plankton population models. J. Plankton Res. 22, 1085-1112.
  104. Fransz, H.G., Mommaerts, J.P., Radach, G., 1991. Ecological
  105. modelling of the North Sea. Neth. J. Sea Res. 28, 67-140.
  106. Frost, B.W., 1975. A threshold feeding behaviour in Calanus
  107. pacificus. Limnol. Oceanogr. 20, 263-266.
  108. Fulton, E.A., 2001. The effects of model structure and complexity
  109. on the behaviour and performance of marine ecosystem models.
  110. Ph.D. thesis, School of Zoology, University of Tasmania,
  111. Hobart, Tasmania.
  112. Fulton, E.A., Parslow, J.S., Smith, A.D.M., Johnson, C.R., in press.
  113. Biogeochemical Marine Ecosystem Models. II. The effect of
  114. physiological detail on model performance. Ecol. Model.
  115. Fulton, E.A., Smith, A.D.M., Johnson, C.R., in press.
  116. Biogeochemical Marine Ecosystem Models. I. A model of
  117. Marine Bay Ecosystems. Ecol. Model.
  118. Fulton, E.A., Smith, A.D.M., Johnson, C.R., in press. Effects
  119. of spatial resolution on the performance and interpretation of
  120. marine ecosystem models. Ecol. Model.
  121. Gao, H., Wei, H., Sun, W., Zhai, X., 2000. Functions used in
  122. biological models and their influences on simulations. Ind. J.
  123. Mar. Sci. 29, 230-237.
  124. Gecek, S., Legovic, T., 2001. Nutrients and grazing in modeling
  125. the deep chlorophyll maximum. Ecol. Model. 138, 143-152.
  126. Ginzburg, L.R., Akcakaya, H.R., 1992. Consequences of ratiodependent
  127. predation for steady-state properties of ecosystems.
  128. Ecology 73, 1536-1543.
  129. Gleeson, S.K., 1994. Density dependence is better than ratio
  130. dependence. Ecology 75, 1834-1835.
  131. Gutierrez, A.P., 1992. Physiological basis of ratio-dependent
  132. predator-prey theory: the metabolic pool model as a paradigm.
  133. Ecology 73, 1552-1563.
  134. Hairstone, N.G., Smith, F.E., Slobodkin, L.B., 1960. Community
  135. structure, population control and competition. Am. Nat. 94,
  136. 421-425.
  137. Hassell, M.P., 1978. The Dynamics of Arthropod Predator-Prey
  138. Systems. Monographs in Population Biology, vol. 13. Princeton
  139. University Press, Princeton.
  140. Hassell, M.P., Commins, H.N., 1978. Sigmoid functional responses
  141. and population stability. Theor. Popul. Biol. 14, 62-67.
  142. Holling, C.S., 1959. Some characteristics of simple types of
  143. predation and parasitism. Can. Entomol. 91, 385-398.
  144. Holling, C.S., 1966. The functional response of invertebrate
  145. predators to prey density. Mem. Entomol. Soc. Can. 48, 1-86.
  146. Hollowed, A.B., Bax, N., Beamish, R., Collie, J., Fogarty, M.,
  147. Livingston, P., Pope, J., Rice, J.C., 2000. Are multispecies
  148. models an improvement on single-species models for measuring
  149. fishing impacts on marine ecosystems? ICES J. Mar. Res. 57,
  150. 707-719.
  151. Jorgensen, S.E., 1994. Fundamentals of Ecological Modelling, 2nd
  152. ed. Developments in Environmental Modelling 19. Elsevier,
  153. Amsterdam, London, New York.
  154. Legaspi, B.C., Carruthers, R.I., Morales-Ramos, J.A., 1996.
  155. Functional response as a component of dynamic simulation
  156. models in biological control: the Catolaccus-boll weevil system.
  157. Ecol. Model. 89, 43-57.
  158. Legovic, T., 1989. Predation in food webs. Ecol. Model. 48, 267-
  159. 276.
  160. Lima, I.D., Olson, D.B., Doney, S.C., 2002. Intrinsic dynamics
  161. and stability properties of size-structured pelagic ecosystem
  162. models. J. Plankton Res. 24, 533-556.
  163. Luckyanov, N.K., Cropper Jr., W.P., Harwell, M.A., 1995. State
  164. analysis of ecological models: model reactions to parameter
  165. change. Ecol. Model. 82, 99-104.
  166. Matson, P., Berryman, A.A., 1992. Special feature: ratio-dependent
  167. predator-prey theory. Ecology 73, 1529-1566.
  168. May, R.M., 1976. Theoretical Ecology.WB Saunders, Philadelphia.
  169. McGillicuddy, D.J., McCarthy, J.J., Robinson, A.R., 1995. Coupled
  170. physical and biological modelling of the spring bloom in the
  171. North Atlantic (I): model formulation and one dimensional
  172. bloom processes. Deep Sea Res. 42, 1313-1357.
  173. McNair, J.N., 1986. The effects of refuges on predator-prey
  174. interactions: a reconsideration. Theor. Popul. Biol. 29, 38-63.
  175. Murray, A., Parslow, J., 1997. Port Phillip Bay Integrated Model:
  176. Final Report. Technical Report No. 44. Port Phillip Bay
  177. Environmental Study. CSIRO, Canberra, Australia.
  178. Murray, A.G., Parslow, J.S., 1999. The analysis of alternative
  179. formulations in a simple model of a coastal ecosystem. Ecol.
  180. Model. 119, 149-166.
  181. Myerscough, M.R., Darwen, M.J., Hogarth, W.L., 1996. Stability,
  182. persistence and structural stability in a classical predator-prey
  183. model. Ecol. Model. 89, 31-42.
  184. Radach, J., Moll, A., 1993. Estimation of the variability of
  185. production by simulating annual cycles of phytoplankton in the
  186. central North Sea. Prog. Oceanogr. 31, 339-419.
  187. Radford, P.J., 1996. The Modules of the European Regional Seas
  188. Ecosystem Model II, 1993-1996. Plymouth Marine Laboratory,
  189. Plymouth, UK.
  190. Sainsbury, K., Punt, A.E., Smith, A.D.M., 2000. Design
  191. of operational management strategies for achieving fishery
  192. ecosystem objectives. ICES J. Mar. Res. 57, 731-741.
  193. Sarnelle, O., 1994. Inferring process from pattern: trophic level
  194. abundances and imbedded interactions. Ecology 75, 1835-1841.
  195. Slobodkin, L.B., 1992. A summary of the special feature and
  196. comments on its theoretical context and importance. Ecology
  197. 73, 1564-1566.
  198. Steele, J.H., Henderson, E.W., 1992. The role of predation in
  199. plankton models. J. Plankton Res. 14, 157-172.
  200. Steele, J.H., Henderson, E.W., 1995. Predation control of plankton
  201. demography. ICES J. Mar. Res. 52, 565-573.
  202. Tett, P., Wilson, H., 2000. From biogeochemical to ecological
  203. models of marine microplankton. J. Mar. Syst. 25, 431-446.
  204. Varriale, M.C., Gomes, A.A., 1998. A study of a three species
  205. food chain. Ecol. Model. 110, 119-133.
  206. Walters, C., 1986. Adaptive Management of Renewable Resources.
  207. MacMillan, New York.
  208. Walters, C., Kitchell, J.F., 2001. Cultivation/depensation effects on
  209. juvenile survival and recruitment: implications for the theory
  210. of fishing. Can. J. Fish. Aquat. Sci. 58, 39-50.
  211. Walters, C., Christensen, V., Pauly, D., 1997. Structuring dynamic
  212. models of exploited ecosystems from trophic mass-balance
  213. assessments. Rev. Fish. Biol. Fish. 7, 139-172.
  214. Walters, C., Pauly, D., Christensen, V., Kitchell, J.F., 2000.
  215. Representing density dependent consequences of life history
  216. strategies in an ecosystem model: ECOSIM II. Ecosystems 3,
  217. 70-83.
  218. Wiedenmann, R.N., Smith Jr., J.W., 1993. Functional response
  219. of the parasite Cotesia flavipes (Hymenoptera: Braconidae) at
  220. low densities of the host Diatraea saccharalis (Lepidoptera:
  221. Pyralidae). Environ. Entomol. 22, 849-858." name="eprints.referencetext" />
  222. <meta content="Fulton, Elizabeth A. and Smith, Anthony D.M. and Johnson, Craig R. (2003) Mortality and predation in ecosystem models: is it important how these are expressed? Ecological Modelling, 169 (1). pp. 157-178. ISSN 0304-3800" name="eprints.citation" />
  223. <meta content="http://eprints.utas.edu.au/1121/1/2003_Fulton%2C_Smith_%26_Johnson_Ecol_Mod.pdf" name="eprints.document_url" />
  224. <link rel="schema.DC" href="http://purl.org/DC/elements/1.0/" />
  225. <meta content="Mortality and predation in ecosystem models: is it important how these are expressed?" name="DC.title" />
  226. <meta content="Fulton, Elizabeth A." name="DC.creator" />
  227. <meta content="Smith, Anthony D.M." name="DC.creator" />
  228. <meta content="Johnson, Craig R." name="DC.creator" />
  229. <meta content="270702 Marine and Estuarine Ecology (incl. Marine Ichthyology)" name="DC.subject" />
  230. <meta content="The effects of the form of the grazing and mortality terms used in plankton models are well known. The same cannot be said for
  231. ecosystem models. As ecosystem models become more popular more needs to be known about the effects of model formulation
  232. on model behaviour and performance. The impact of the form of the grazing response function and mortality terms used in
  233. a biogeochemical ecosystem model are considered here. We show that in the large and inter-linked webs used in ecosystem
  234. models, model behaviour is far more sensitive to the form of the grazing term than to that of the mortality terms that close the
  235. modelled food web.
  236. When using biogeochemical ecosystem models in shallow marine ecosystems, the most dynamic and sophisticated functional
  237. responses describing grazing require more parameters and validation than the simpler Holling disk equation, but usually still
  238. lead to the same general conclusions about the system state and the effects of changes in forcing functions. Thus, the use of
  239. more complex functional responses is not necessarily warranted in many cases. Similarly, the extra effort and data required to
  240. explicitly represent the top predators (sharks, mammals and birds) is not necessary if they are not the focus of the study. A
  241. quadratic mortality term applied to intermediate predators (such as piscivores) is sufficient to achieve plausible model behaviour.
  242. It should be noted, however, that some degree of sophistication is required in the grazing and mortality terms. Use of simple
  243. linear functional responses and mortality terms is unsuitable for models used to consider a range of nutrient loading or harvesting
  244. scenarios." name="DC.description" />
  245. <meta content="2003-11" name="DC.date" />
  246. <meta content="Article" name="DC.type" />
  247. <meta content="PeerReviewed" name="DC.type" />
  248. <meta content="application/pdf" name="DC.format" />
  249. <meta content="http://eprints.utas.edu.au/1121/1/2003_Fulton%2C_Smith_%26_Johnson_Ecol_Mod.pdf" name="DC.identifier" />
  250. <meta content="http://dx.doi.org/10.1016/S0304-3800(03)00268-0" name="DC.relation" />
  251. <meta content="Fulton, Elizabeth A. and Smith, Anthony D.M. and Johnson, Craig R. (2003) Mortality and predation in ecosystem models: is it important how these are expressed? Ecological Modelling, 169 (1). pp. 157-178. ISSN 0304-3800" name="DC.identifier" />
  252. <meta content="http://eprints.utas.edu.au/1121/" name="DC.relation" />
  253. <link rel="alternate" href="http://eprints.utas.edu.au/cgi/export/1121/BibTeX/epprod-eprint-1121.bib" title="BibTeX" type="text/plain" />
  254. <link rel="alternate" href="http://eprints.utas.edu.au/cgi/export/1121/ContextObject/epprod-eprint-1121.xml" title="OpenURL ContextObject" type="text/xml" />
  255. <link rel="alternate" href="http://eprints.utas.edu.au/cgi/export/1121/ContextObject::Dissertation/epprod-eprint-1121.xml" title="OpenURL Dissertation" type="text/xml" />
  256. <link rel="alternate" href="http://eprints.utas.edu.au/cgi/export/1121/ContextObject::Journal/epprod-eprint-1121.xml" title="OpenURL Journal" type="text/xml" />
  257. <link rel="alternate" href="http://eprints.utas.edu.au/cgi/export/1121/DC/epprod-eprint-1121.txt" title="Dublin Core" type="text/plain" />
  258. <link rel="alternate" href="http://eprints.utas.edu.au/cgi/export/1121/DIDL/epprod-eprint-1121.xml" title="DIDL" type="text/xml" />
  259. <link rel="alternate" href="http://eprints.utas.edu.au/cgi/export/1121/EndNote/epprod-eprint-1121.enw" title="EndNote" type="text/plain" />
  260. <link rel="alternate" href="http://eprints.utas.edu.au/cgi/export/1121/HTML/epprod-eprint-1121.html" title="HTML Citation" type="text/html; charset=utf-8" />
  261. <link rel="alternate" href="http://eprints.utas.edu.au/cgi/export/1121/METS/epprod-eprint-1121.xml" title="METS" type="text/xml" />
  262. <link rel="alternate" href="http://eprints.utas.edu.au/cgi/export/1121/MODS/epprod-eprint-1121.xml" title="MODS" type="text/xml" />
  263. <link rel="alternate" href="http://eprints.utas.edu.au/cgi/export/1121/RIS/epprod-eprint-1121.ris" title="Reference Manager" type="text/plain" />
  264. <link rel="alternate" href="http://eprints.utas.edu.au/cgi/export/1121/Refer/epprod-eprint-1121.refer" title="Refer" type="text/plain" />
  265. <link rel="alternate" href="http://eprints.utas.edu.au/cgi/export/1121/Simple/epprod-eprint-1121text" title="Simple Metadata" type="text/plain" />
  266. <link rel="alternate" href="http://eprints.utas.edu.au/cgi/export/1121/Text/epprod-eprint-1121.txt" title="ASCII Citation" type="text/plain; charset=utf-8" />
  267. <link rel="alternate" href="http://eprints.utas.edu.au/cgi/export/1121/XML/epprod-eprint-1121.xml" title="EP3 XML" type="text/xml" />
  268.  
  269. </head>
  270. <body bgcolor="#ffffff" text="#000000" onLoad="loadRoutine(); MM_preloadImages('images/eprints/ePrints_banner_r5_c5_f2.gif','images/eprints/ePrints_banner_r5_c7_f2.gif','images/eprints/ePrints_banner_r5_c8_f2.gif','images/eprints/ePrints_banner_r5_c9_f2.gif','images/eprints/ePrints_banner_r5_c10_f2.gif','images/eprints/ePrints_banner_r5_c11_f2.gif','images/eprints/ePrints_banner_r6_c4_f2.gif')">
  271. <div class="ep_noprint"><noscript><style type="text/css">@import url(http://eprints.utas.edu.au/style/nojs.css);</style></noscript></div>
  272.  
  273.  
  274.  
  275.  
  276. <table width="795" border="0" cellspacing="0" cellpadding="0">
  277. <tr>
  278. <td><script language="JavaScript1.2">mmLoadMenus();</script>
  279. <table border="0" cellpadding="0" cellspacing="0" width="795">
  280. <!-- fwtable fwsrc="eprints_banner_final2.png" fwbase="ePrints_banner.gif" fwstyle="Dreamweaver" fwdocid = "1249563342" fwnested="0" -->
  281. <tr>
  282. <td><img src="/images/eprints/spacer.gif" width="32" height="1" border="0" alt="" /></td>
  283. <td><img src="/images/eprints/spacer.gif" width="104" height="1" border="0" alt="" /></td>
  284. <td><img src="/images/eprints/spacer.gif" width="44" height="1" border="0" alt="" /></td>
  285. <td><img src="/images/eprints/spacer.gif" width="105" height="1" border="0" alt="" /></td>
  286. <td><img src="/images/eprints/spacer.gif" width="41" height="1" border="0" alt="" /></td>
  287. <td><img src="/images/eprints/spacer.gif" width="16" height="1" border="0" alt="" /></td>
  288. <td><img src="/images/eprints/spacer.gif" width="68" height="1" border="0" alt="" /></td>
  289. <td><img src="/images/eprints/spacer.gif" width="68" height="1" border="0" alt="" /></td>
  290. <td><img src="/images/eprints/spacer.gif" width="68" height="1" border="0" alt="" /></td>
  291. <td><img src="/images/eprints/spacer.gif" width="82" height="1" border="0" alt="" /></td>
  292. <td><img src="/images/eprints/spacer.gif" width="69" height="1" border="0" alt="" /></td>
  293. <td><img src="/images/eprints/spacer.gif" width="98" height="1" border="0" alt="" /></td>
  294. <td><img src="/images/eprints/spacer.gif" width="1" height="1" border="0" alt="" /></td>
  295. </tr>
  296. <tr>
  297. <td colspan="12"><img name="ePrints_banner_r1_c1" src="/images/eprints/ePrints_banner_r1_c1.gif" width="795" height="10" border="0" alt="" /></td>
  298. <td><img src="/images/eprints/spacer.gif" width="1" height="10" border="0" alt="" /></td>
  299. </tr>
  300. <tr>
  301. <td rowspan="6"><img name="ePrints_banner_r2_c1" src="/images/eprints/ePrints_banner_r2_c1.gif" width="32" height="118" border="0" alt="" /></td>
  302. <td rowspan="5"><a href="http://www.utas.edu.au/"><img name="ePrints_banner_r2_c2" src="/images/eprints/ePrints_banner_r2_c2.gif" width="104" height="103" border="0" alt="" /></a></td>
  303. <td colspan="10"><img name="ePrints_banner_r2_c3" src="/images/eprints/ePrints_banner_r2_c3.gif" width="659" height="41" border="0" alt="" /></td>
  304. <td><img src="/images/eprints/spacer.gif" width="1" height="41" border="0" alt="" /></td>
  305. </tr>
  306. <tr>
  307. <td colspan="3"><a href="http://eprints.utas.edu.au/"><img name="ePrints_banner_r3_c3" src="/images/eprints/ePrints_banner_r3_c3.gif" width="190" height="31" border="0" alt="" /></a></td>
  308. <td rowspan="2" colspan="7"><img name="ePrints_banner_r3_c6" src="/images/eprints/ePrints_banner_r3_c6.gif" width="469" height="37" border="0" alt="" /></td>
  309. <td><img src="/images/eprints/spacer.gif" width="1" height="31" border="0" alt="" /></td>
  310. </tr>
  311. <tr>
  312. <td colspan="3"><img name="ePrints_banner_r4_c3" src="/images/eprints/ePrints_banner_r4_c3.gif" width="190" height="6" border="0" alt="" /></td>
  313. <td><img src="/images/eprints/spacer.gif" width="1" height="6" border="0" alt="" /></td>
  314. </tr>
  315. <tr>
  316. <td colspan="2"><img name="ePrints_banner_r5_c3" src="/images/eprints/ePrints_banner_r5_c3.gif" width="149" height="1" border="0" alt="" /></td>
  317. <td rowspan="2" colspan="2"><a href="/information.html" onMouseOut="MM_swapImgRestore();MM_startTimeout()" onMouseOver="MM_showMenu(window.mm_menu_0821132634_0,0,25,null,'ePrints_banner_r5_c5');MM_swapImage('ePrints_banner_r5_c5','','/images/eprints/ePrints_banner_r5_c5_f2.gif',1);"><img name="ePrints_banner_r5_c5" src="/images/eprints/ePrints_banner_r5_c5.gif" width="57" height="25" border="0" alt="About" /></a></td>
  318. <td rowspan="2"><a href="/view/" onMouseOut="MM_swapImgRestore();MM_startTimeout()" onMouseOver="MM_showMenu(window.mm_menu_0821133021_1,0,25,null,'ePrints_banner_r5_c7');MM_swapImage('ePrints_banner_r5_c7','','/images/eprints/ePrints_banner_r5_c7_f2.gif',1);"><img name="ePrints_banner_r5_c7" src="/images/eprints/ePrints_banner_r5_c7.gif" width="68" height="25" border="0" alt="Browse" /></a></td>
  319. <td rowspan="2"><a href="/perl/search/simple" onMouseOut="MM_swapImgRestore();MM_startTimeout()" onMouseOver="MM_showMenu(window.mm_menu_0821133201_2,0,25,null,'ePrints_banner_r5_c8');MM_swapImage('ePrints_banner_r5_c8','','/images/eprints/ePrints_banner_r5_c8_f2.gif',1);"><img name="ePrints_banner_r5_c8" src="/images/eprints/ePrints_banner_r5_c8.gif" width="68" height="25" border="0" alt="Search" /></a></td>
  320. <td rowspan="2"><a href="/perl/register" onMouseOut="MM_swapImgRestore();MM_startTimeout();" onMouseOver="MM_showMenu(window.mm_menu_1018171924_3,0,25,null,'ePrints_banner_r5_c9');MM_swapImage('ePrints_banner_r5_c9','','/images/eprints/ePrints_banner_r5_c9_f2.gif',1);"><img name="ePrints_banner_r5_c9" src="/images/eprints/ePrints_banner_r5_c9.gif" width="68" height="25" border="0" alt="register" /></a></td>
  321. <td rowspan="2"><a href="/perl/users/home" onMouseOut="MM_swapImgRestore();MM_startTimeout()" onMouseOver="MM_showMenu(window.mm_menu_0821133422_4,0,25,null,'ePrints_banner_r5_c10');MM_swapImage('ePrints_banner_r5_c10','','/images/eprints/ePrints_banner_r5_c10_f2.gif',1);"><img name="ePrints_banner_r5_c10" src="/images/eprints/ePrints_banner_r5_c10.gif" width="82" height="25" border="0" alt="user area" /></a></td>
  322. <td rowspan="2"><a href="/help/" onMouseOut="MM_swapImgRestore();MM_startTimeout()" onMouseOver="MM_showMenu(window.mm_menu_0821133514_5,0,25,null,'ePrints_banner_r5_c11');MM_swapImage('ePrints_banner_r5_c11','','/images/eprints/ePrints_banner_r5_c11_f2.gif',1);"><img name="ePrints_banner_r5_c11" src="/images/eprints/ePrints_banner_r5_c11.gif" width="69" height="25" border="0" alt="Help" /></a></td>
  323. <td rowspan="3" colspan="4"><img name="ePrints_banner_r5_c12" src="/images/eprints/ePrints_banner_r5_c12.gif" width="98" height="40" border="0" alt="" /></td>
  324. <td><img src="/images/eprints/spacer.gif" width="1" height="1" border="0" alt="" /></td>
  325. </tr>
  326. <tr>
  327. <td rowspan="2"><img name="ePrints_banner_r6_c3" src="/images/eprints/ePrints_banner_r6_c3.gif" width="44" height="39" border="0" alt="ePrints home" /></td>
  328. <td><a href="/" onMouseOut="MM_swapImgRestore()" onMouseOver="MM_swapImage('ePrints_banner_r6_c4','','/images/eprints/ePrints_banner_r6_c4_f2.gif',1);"><img name="ePrints_banner_r6_c4" src="/images/eprints/ePrints_banner_r6_c4.gif" width="105" height="24" border="0" alt="ePrints home" /></a></td>
  329. <td><img src="/images/eprints/spacer.gif" width="1" height="24" border="0" alt="" /></td>
  330. </tr>
  331. <tr>
  332. <td><img name="ePrints_banner_r7_c2" src="/images/eprints/ePrints_banner_r7_c2.gif" width="104" height="15" border="0" alt="" /></td>
  333. <td colspan="8"><img name="ePrints_banner_r7_c4" src="/images/eprints/ePrints_banner_r7_c4.gif" width="517" height="15" border="0" alt="" /></td>
  334. <td><img src="/images/eprints/spacer.gif" width="1" height="15" border="0" alt="" /></td>
  335. </tr>
  336. </table></td>
  337. </tr>
  338. <tr><td><table width="100%" style="font-size: 90%; border: solid 1px #ccc; padding: 3px"><tr>
  339. <td align="left"><a href="http://eprints.utas.edu.au/cgi/users/home">Login</a> | <a href="http://eprints.utas.edu.au/cgi/register">Create Account</a></td>
  340. <td align="right" style="white-space: nowrap">
  341. <form method="get" accept-charset="utf-8" action="http://eprints.utas.edu.au/cgi/search" style="display:inline">
  342. <input class="ep_tm_searchbarbox" size="20" type="text" name="q" />
  343. <input class="ep_tm_searchbarbutton" value="Search" type="submit" name="_action_search" />
  344. <input type="hidden" name="_order" value="bytitle" />
  345. <input type="hidden" name="basic_srchtype" value="ALL" />
  346. <input type="hidden" name="_satisfyall" value="ALL" />
  347. </form>
  348. </td>
  349. </tr></table></td></tr>
  350. <tr>
  351. <td class="toplinks"><!-- InstanceBeginEditable name="content" -->
  352.  
  353.  
  354. <div align="center">
  355. <table width="720" class="ep_tm_main"><tr><td align="left">
  356. <h1 class="ep_tm_pagetitle">Mortality and predation in ecosystem models: is it important how these are expressed?</h1>
  357. <p style="margin-bottom: 1em" class="not_ep_block"><span class="person_name">Fulton, Elizabeth A.</span> and <span class="person_name">Smith, Anthony D.M.</span> and <span class="person_name">Johnson, Craig R.</span> (2003) <xhtml:em>Mortality and predation in ecosystem models: is it important how these are expressed?</xhtml:em> Ecological Modelling, 169 (1). pp. 157-178. ISSN 0304-3800</p><p style="margin-bottom: 1em" class="not_ep_block"></p><table style="margin-bottom: 1em" class="not_ep_block"><tr><td valign="top" style="text-align:center"><a href="http://eprints.utas.edu.au/1121/1/2003_Fulton%2C_Smith_%26_Johnson_Ecol_Mod.pdf"><img alt="[img]" src="http://eprints.utas.edu.au/style/images/fileicons/application_pdf.png" border="0" class="ep_doc_icon" /></a></td><td valign="top"><a href="http://eprints.utas.edu.au/1121/1/2003_Fulton%2C_Smith_%26_Johnson_Ecol_Mod.pdf"><span class="ep_document_citation">PDF</span></a> - Full text restricted - Requires a PDF viewer<br />383Kb</td><td><form method="get" accept-charset="utf-8" action="http://eprints.utas.edu.au/cgi/request_doc"><input value="1403" name="docid" accept-charset="utf-8" type="hidden" /><div class=""><input value="Request a copy" name="_action_null" class="ep_form_action_button" onclick="return EPJS_button_pushed( '_action_null' )" type="submit" /> </div></form></td></tr></table><p style="margin-bottom: 1em" class="not_ep_block">Official URL: <a href="http://dx.doi.org/10.1016/S0304-3800(03)00268-0">http://dx.doi.org/10.1016/S0304-3800(03)00268-0</a></p><div class="not_ep_block"><h2>Abstract</h2><p style="padding-bottom: 16px; text-align: left; margin: 1em auto 0em auto">The effects of the form of the grazing and mortality terms used in plankton models are well known. The same cannot be said for&#13;
  358. ecosystem models. As ecosystem models become more popular more needs to be known about the effects of model formulation&#13;
  359. on model behaviour and performance. The impact of the form of the grazing response function and mortality terms used in&#13;
  360. a biogeochemical ecosystem model are considered here. We show that in the large and inter-linked webs used in ecosystem&#13;
  361. models, model behaviour is far more sensitive to the form of the grazing term than to that of the mortality terms that close the&#13;
  362. modelled food web.&#13;
  363. When using biogeochemical ecosystem models in shallow marine ecosystems, the most dynamic and sophisticated functional&#13;
  364. responses describing grazing require more parameters and validation than the simpler Holling disk equation, but usually still&#13;
  365. lead to the same general conclusions about the system state and the effects of changes in forcing functions. Thus, the use of&#13;
  366. more complex functional responses is not necessarily warranted in many cases. Similarly, the extra effort and data required to&#13;
  367. explicitly represent the top predators (sharks, mammals and birds) is not necessary if they are not the focus of the study. A&#13;
  368. quadratic mortality term applied to intermediate predators (such as piscivores) is sufficient to achieve plausible model behaviour.&#13;
  369. It should be noted, however, that some degree of sophistication is required in the grazing and mortality terms. Use of simple&#13;
  370. linear functional responses and mortality terms is unsuitable for models used to consider a range of nutrient loading or harvesting&#13;
  371. scenarios.</p></div><table style="margin-bottom: 1em" border="0" cellpadding="3" class="not_ep_block"><tr><th valign="top" class="ep_row">Item Type:</th><td valign="top" class="ep_row">Article</td></tr><tr><th valign="top" class="ep_row">Additional Information:</th><td valign="top" class="ep_row">Definitive version available online at http://www.elsevier.com/locate/issn/03043800</td></tr><tr><th valign="top" class="ep_row">Keywords:</th><td valign="top" class="ep_row">Functional response; Mortality; Model closure; Biogeochemical; Ecosystem; Model</td></tr><tr><th valign="top" class="ep_row">Subjects:</th><td valign="top" class="ep_row"><a href="http://eprints.utas.edu.au/view/subjects/270702.html">270000 Biological Sciences &gt; 270700 Ecology and Evolution &gt; 270702 Marine and Estuarine Ecology (incl. Marine Ichthyology)</a></td></tr><tr><th valign="top" class="ep_row">Collections:</th><td valign="top" class="ep_row">UNSPECIFIED</td></tr><tr><th valign="top" class="ep_row">ID Code:</th><td valign="top" class="ep_row">1121</td></tr><tr><th valign="top" class="ep_row">Deposited By:</th><td valign="top" class="ep_row"><span class="ep_name_citation"><span class="person_name">Professor Craig R. Johnson</span></span></td></tr><tr><th valign="top" class="ep_row">Deposited On:</th><td valign="top" class="ep_row">31 May 2007</td></tr><tr><th valign="top" class="ep_row">Last Modified:</th><td valign="top" class="ep_row">04 Feb 2008 16:27</td></tr><tr><th valign="top" class="ep_row">ePrint Statistics:</th><td valign="top" class="ep_row"><a target="ePrintStats" href="/es/index.php?action=show_detail_eprint;id=1121;">View statistics for this ePrint</a></td></tr></table><p align="right">Repository Staff Only: <a href="http://eprints.utas.edu.au/cgi/users/home?screen=EPrint::View&amp;eprintid=1121">item control page</a></p>
  372. </td></tr></table>
  373. </div>
  374.  
  375.  
  376.  
  377. <!-- InstanceEndEditable --></td>
  378. </tr>
  379. <tr>
  380. <td><!-- #BeginLibraryItem "/Library/footer_eprints.lbi" -->
  381. <table width="795" border="0" align="left" cellpadding="0" class="footer">
  382. <tr valign="top">
  383. <td colspan="2"><div align="center"><a href="http://www.utas.edu.au">UTAS home</a> | <a href="http://www.utas.edu.au/library/">Library home</a> | <a href="/">ePrints home</a> | <a href="/contact.html">contact</a> | <a href="/information.html">about</a> | <a href="/view/">browse</a> | <a href="/perl/search/simple">search</a> | <a href="/perl/register">register</a> | <a href="/perl/users/home">user area</a> | <a href="/help/">help</a></div><br /></td>
  384. </tr>
  385. <tr><td colspan="2"><p><img src="/images/eprints/footerline.gif" width="100%" height="4" /></p></td></tr>
  386. <tr valign="top">
  387. <td width="68%" class="footer">Authorised by the University Librarian<br />
  388. © University of Tasmania ABN 30 764 374 782<br />
  389. <a href="http://www.utas.edu.au/cricos/">CRICOS Provider Code 00586B</a> | <a href="http://www.utas.edu.au/copyright/copyright_disclaimers.html">Copyright &amp; Disclaimers</a> | <a href="http://www.utas.edu.au/accessibility/index.html">Accessibility</a> | <a href="http://eprints.utas.edu.au/feedback/">Site Feedback</a>  </td>
  390. <td width="32%"><div align="right">
  391. <p align="right" class="NoPrint"><a href="http://www.utas.edu.au/"><img src="http://www.utas.edu.au/shared/logos/unioftasstrip.gif" alt="University of Tasmania Home Page" width="260" height="16" border="0" align="right" /></a></p>
  392. <p align="right" class="NoPrint"><a href="http://www.utas.edu.au/"><br />
  393. </a></p>
  394. </div></td>
  395. </tr>
  396. <tr valign="top">
  397. <td><p>  </p></td>
  398. <td><div align="right"><span class="NoPrint"><a href="http://www.eprints.org/software/"><img src="/images/eprintslogo.gif" alt="ePrints logo" width="77" height="29" border="0" align="bottom" /></a></span></div></td>
  399. </tr>
  400. </table>
  401. <!-- #EndLibraryItem -->
  402. <div align="center"></div></td>
  403. </tr>
  404. </table>
  405.  
  406. </body>
  407. </html>