{"id":3302,"date":"2024-04-21T19:39:29","date_gmt":"2024-04-21T23:39:29","guid":{"rendered":"https:\/\/pressbooks.bccampus.ca\/ewemodel\/?post_type=chapter&#038;p=3302"},"modified":"2025-10-30T08:56:21","modified_gmt":"2025-10-30T12:56:21","slug":"biomass","status":"publish","type":"chapter","link":"https:\/\/pressbooks.bccampus.ca\/ewemodel\/chapter\/biomass\/","title":{"raw":"Biomasses, energy and units","rendered":"Biomasses, energy and units"},"content":{"raw":"Though biomasses to some extent can relate to \"real estate\" the issue is not \"location, location, location\", but \"units, units, units\". When you work with ecosystem models, you'll have to obtain information for a multitude of sources and they will be using different units that need to be converted \u2013 and that often leads to conversion errors.\r\n\r\nUnits are important, and an aspect where Ecopath has made a contribution has been to force (or maybe entice is a nicer word) modellers to standardize biomasses to a per unit area basis. So, for biomasses, the standard unit is ton per square kilometre in Ecopath. That makes it straightforward to compare abundances between ecosystems, whereas total amounts are difficult to compare as ecosystems vary areawise .\r\n\r\nHow do you then get biomasses for your model? \u00a0Fortunately, biomasses are standard output from surveys and assessments, and we will refer to that literature without being much more specific about how to obtain biomasses. As a rough classification, note that there are \"direct\" estimation methods such as trawl swept area, acoustic target expansion, visual census, plankton sampling, and \"indirect\" methods where biomass are output from assessments that use multiple sources of information to estimate biomasses. The biomasses add constraints to your model, and constraints make the model outputs appear to be less uncertain.\r\n\r\nIf at all possible, get biomasses from local sources (i.e. for your ecosystem), and be aware that biomasses \"don't travel well\". It helps that we are using per unit area biomasses, but conditions really vary from system to system due notably to differences in productivity and fishing pressure over time.\r\n\r\n&nbsp;\r\n<div class=\"textbox shaded\">\r\n\r\nThere is an ongoing controversy about whether one can or should use output from one model (assessment) as input for another model (ecosystem) where the sentiment from assessment scientists may be a <em>No<\/em>! and that we should instead use the same input (surveys) as used for assessments.\r\n\r\nThis argument ignores the fact that <em>all<\/em> biomass estimates are in fact based on models, i.e. on various aggregation, transformation, and calibration scaling operations applied to raw data.\u00a0 So working with the raw data as inputs would mean not just repeating one assessment but all estimations done for the ecosystem, including estimates of primary productivity and other supposedly \"direct\" measurements. Primary productivity (phytoplankton biomass) estimates for marine systems in particular are typically based on complex models evaluating satellite information, with calculations so specialized that it would make no sense to try to repeat them.\u00a0 Acoustic abundance estimates are similarly complex expansions of raw target data.\u00a0 Even simple swept area or volume conversions from nets are fraught with uncertainties about conversion factors. The same uncertainties more obviously hold true for assessment models, for which we have to at least initially hope that the panels reviewing the models have weeded out really bad estimates.\r\n\r\nBut thankfully, the Ecopath biomass estimates are not carved in stone; just as we typically do with single species assessment models, we can vary the Ecopath input values and examine how that variation affects dynamics, policy responses, and likelihood measures of goodness of fit to available time series data on relative abundance trends and outputs (like catches).\r\n\r\nThere are at least two good reasons to use most recent biomass estimates from single species models as the Ecopath input biomass estimates.\u00a0 First, those Ecopath estimates are used to initialize time simulations with Ecosim, providing a capability to predict forward from the most recent assessment estimates using a model that is initially consistent with the assessment model but explicitly represents trophic interactions evident in the Ecopath inputs when looking forward over time.\u00a0 Second, Ecopath can provide a credibility check on the single-species model estimate, in particular whether the estimate is high enough to support estimated predation rates on it (Ecotrophic efficiency less than 1.0), and whether prey abundance is high enough to support its estimated food consumption. \u00a0But be warned: it is not so easy to defend the use of estimated biomasses for early years from single species assessments to set Ecopath base biomasses for such early years, because of uncertainties in the single species results about cumulative net depletion of stock size over time due to historical removals and other factors.\r\n\r\n<\/div>\r\n<h3>Units and energy<\/h3>\r\n&nbsp;\r\n<div class=\"textbox shaded\">\r\n\r\n<strong>The million dollar question\r\n<\/strong>\r\n\r\nHow do you convert from t km<sup>-2<\/sup> to g m<sup>-2<\/sup>? The answer is: they are equal.\r\n\r\nSo, when you evaluate model parameters, think t km<sup>-2<\/sup> for the big things, and g m<sup>-2<\/sup> for the small.\r\n\r\nFor instance, this bay is around 100 km<sup>2<\/sup> and there are some 100 seals each with a weight of 50 kg. That's 50\u00b7100 kg = 5 t in 100 km<sup>2<\/sup> = 0.05 t km<sup>-2<\/sup>. \u00a0Or, if we assume there's 3 shrimps per m<sup>2<\/sup>, each weighing 2 g; then the biomass is 6 g m<sup>-2 <\/sup>= 6 t km<sup>-2<\/sup> as we know now.\r\n\r\nThat simple conversion between t km<sup>-2<\/sup> and g m<sup>-2<\/sup> really makes it simple and elegant to relate to biomass estimates for all kind of critters in an ecosystem.\u00a0 But watch out because biomasses for smaller critters (zooplankters, benthic invertebrates, insect larvae) are often reported in \"dry weight\" units without information on the drying protocol, and must be converted to the wet weight units typically used for larger critters like fish.\u00a0 The wet\/dry weight ratio can vary from as low as 5 to over 10.\r\n\r\n<\/div>","rendered":"<p>Though biomasses to some extent can relate to &#8220;real estate&#8221; the issue is not &#8220;location, location, location&#8221;, but &#8220;units, units, units&#8221;. When you work with ecosystem models, you&#8217;ll have to obtain information for a multitude of sources and they will be using different units that need to be converted \u2013 and that often leads to conversion errors.<\/p>\n<p>Units are important, and an aspect where Ecopath has made a contribution has been to force (or maybe entice is a nicer word) modellers to standardize biomasses to a per unit area basis. So, for biomasses, the standard unit is ton per square kilometre in Ecopath. That makes it straightforward to compare abundances between ecosystems, whereas total amounts are difficult to compare as ecosystems vary areawise .<\/p>\n<p>How do you then get biomasses for your model? \u00a0Fortunately, biomasses are standard output from surveys and assessments, and we will refer to that literature without being much more specific about how to obtain biomasses. As a rough classification, note that there are &#8220;direct&#8221; estimation methods such as trawl swept area, acoustic target expansion, visual census, plankton sampling, and &#8220;indirect&#8221; methods where biomass are output from assessments that use multiple sources of information to estimate biomasses. The biomasses add constraints to your model, and constraints make the model outputs appear to be less uncertain.<\/p>\n<p>If at all possible, get biomasses from local sources (i.e. for your ecosystem), and be aware that biomasses &#8220;don&#8217;t travel well&#8221;. It helps that we are using per unit area biomasses, but conditions really vary from system to system due notably to differences in productivity and fishing pressure over time.<\/p>\n<p>&nbsp;<\/p>\n<div class=\"textbox shaded\">\n<p>There is an ongoing controversy about whether one can or should use output from one model (assessment) as input for another model (ecosystem) where the sentiment from assessment scientists may be a <em>No<\/em>! and that we should instead use the same input (surveys) as used for assessments.<\/p>\n<p>This argument ignores the fact that <em>all<\/em> biomass estimates are in fact based on models, i.e. on various aggregation, transformation, and calibration scaling operations applied to raw data.\u00a0 So working with the raw data as inputs would mean not just repeating one assessment but all estimations done for the ecosystem, including estimates of primary productivity and other supposedly &#8220;direct&#8221; measurements. Primary productivity (phytoplankton biomass) estimates for marine systems in particular are typically based on complex models evaluating satellite information, with calculations so specialized that it would make no sense to try to repeat them.\u00a0 Acoustic abundance estimates are similarly complex expansions of raw target data.\u00a0 Even simple swept area or volume conversions from nets are fraught with uncertainties about conversion factors. The same uncertainties more obviously hold true for assessment models, for which we have to at least initially hope that the panels reviewing the models have weeded out really bad estimates.<\/p>\n<p>But thankfully, the Ecopath biomass estimates are not carved in stone; just as we typically do with single species assessment models, we can vary the Ecopath input values and examine how that variation affects dynamics, policy responses, and likelihood measures of goodness of fit to available time series data on relative abundance trends and outputs (like catches).<\/p>\n<p>There are at least two good reasons to use most recent biomass estimates from single species models as the Ecopath input biomass estimates.\u00a0 First, those Ecopath estimates are used to initialize time simulations with Ecosim, providing a capability to predict forward from the most recent assessment estimates using a model that is initially consistent with the assessment model but explicitly represents trophic interactions evident in the Ecopath inputs when looking forward over time.\u00a0 Second, Ecopath can provide a credibility check on the single-species model estimate, in particular whether the estimate is high enough to support estimated predation rates on it (Ecotrophic efficiency less than 1.0), and whether prey abundance is high enough to support its estimated food consumption. \u00a0But be warned: it is not so easy to defend the use of estimated biomasses for early years from single species assessments to set Ecopath base biomasses for such early years, because of uncertainties in the single species results about cumulative net depletion of stock size over time due to historical removals and other factors.<\/p>\n<\/div>\n<h3>Units and energy<\/h3>\n<p>&nbsp;<\/p>\n<div class=\"textbox shaded\">\n<p><strong>The million dollar question<br \/>\n<\/strong><\/p>\n<p>How do you convert from t km<sup>-2<\/sup> to g m<sup>-2<\/sup>? The answer is: they are equal.<\/p>\n<p>So, when you evaluate model parameters, think t km<sup>-2<\/sup> for the big things, and g m<sup>-2<\/sup> for the small.<\/p>\n<p>For instance, this bay is around 100 km<sup>2<\/sup> and there are some 100 seals each with a weight of 50 kg. That&#8217;s 50\u00b7100 kg = 5 t in 100 km<sup>2<\/sup> = 0.05 t km<sup>-2<\/sup>. \u00a0Or, if we assume there&#8217;s 3 shrimps per m<sup>2<\/sup>, each weighing 2 g; then the biomass is 6 g m<sup>-2 <\/sup>= 6 t km<sup>-2<\/sup> as we know now.<\/p>\n<p>That simple conversion between t km<sup>-2<\/sup> and g m<sup>-2<\/sup> really makes it simple and elegant to relate to biomass estimates for all kind of critters in an ecosystem.\u00a0 But watch out because biomasses for smaller critters (zooplankters, benthic invertebrates, insect larvae) are often reported in &#8220;dry weight&#8221; units without information on the drying protocol, and must be converted to the wet weight units typically used for larger critters like fish.\u00a0 The wet\/dry weight ratio can vary from as low as 5 to over 10.<\/p>\n<\/div>\n","protected":false},"author":1909,"menu_order":2,"template":"","meta":{"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-3302","chapter","type-chapter","status-publish","hentry"],"part":404,"_links":{"self":[{"href":"https:\/\/pressbooks.bccampus.ca\/ewemodel\/wp-json\/pressbooks\/v2\/chapters\/3302","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pressbooks.bccampus.ca\/ewemodel\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/pressbooks.bccampus.ca\/ewemodel\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/ewemodel\/wp-json\/wp\/v2\/users\/1909"}],"version-history":[{"count":18,"href":"https:\/\/pressbooks.bccampus.ca\/ewemodel\/wp-json\/pressbooks\/v2\/chapters\/3302\/revisions"}],"predecessor-version":[{"id":4045,"href":"https:\/\/pressbooks.bccampus.ca\/ewemodel\/wp-json\/pressbooks\/v2\/chapters\/3302\/revisions\/4045"}],"part":[{"href":"https:\/\/pressbooks.bccampus.ca\/ewemodel\/wp-json\/pressbooks\/v2\/parts\/404"}],"metadata":[{"href":"https:\/\/pressbooks.bccampus.ca\/ewemodel\/wp-json\/pressbooks\/v2\/chapters\/3302\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/pressbooks.bccampus.ca\/ewemodel\/wp-json\/wp\/v2\/media?parent=3302"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/ewemodel\/wp-json\/pressbooks\/v2\/chapter-type?post=3302"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/ewemodel\/wp-json\/wp\/v2\/contributor?post=3302"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/ewemodel\/wp-json\/wp\/v2\/license?post=3302"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}