{"id":967,"date":"2023-10-20T15:58:15","date_gmt":"2023-10-20T19:58:15","guid":{"rendered":"https:\/\/pressbooks.bccampus.ca\/eweguide\/?post_type=chapter&#038;p=967"},"modified":"2024-05-30T17:48:04","modified_gmt":"2024-05-30T21:48:04","slug":"other-mortality-response-functions","status":"publish","type":"chapter","link":"https:\/\/pressbooks.bccampus.ca\/eweguide\/chapter\/other-mortality-response-functions\/","title":{"raw":"Other Mortality Response Functions","rendered":"Other Mortality Response Functions"},"content":{"raw":"<h1>Scope and Purpose<\/h1>\r\n<p style=\"font-weight: 400\">This document provides usage instructions for the other mortality response function in the Ecopath with Ecosim food web modelling approach.<\/p>\r\n\r\n<h1>Summary<\/h1>\r\n<p style=\"font-weight: 400\">Aquatic ecosystems are often exposed to mass mortality events that can be caused by a variety of factors such as low dissolved oxygen, harmful algal blooms, extreme heat\/cold events, contaminants, or noise pollution.\u00a0 The EwE software includes the ability link environmental drivers to the \u2018other mortality\u2019 (M0) component (non fishing or predation) to simulate direct lethal effects of environmental stressors.\u00a0 The MO response function can be used in combination with the habitat capacity model to capture both lethal and sublethal (feeding and movement) effects in the model.\u00a0\u00a0 An example application to red tide on the West Florida Shelf is provided in publication \u00a0by Vilas [footnote]Vilas Gonzalez, Daniel. 2022. Spatiotemporal Ecosystem Dynamics on the West Florida Shelf\u202f: Prediction, Validation, and Application to Red Tides and Stock Assessment. PhD Dissertation, University of Florida, 2022. Available online: <a href=\"https:\/\/ufdc.ufl.edu\/ufe0058578\/00001\">https:\/\/ufdc.ufl.edu\/ufe0058578\/00001<\/a>[\/footnote] and Vilas et al. [footnote]Vilas, Daniel, David Chagaris, and Joe Buszowski. 2020. Red tide mortality on gag grouper from 2002-2018 generated by an Ecospace model of the West Florida Shelf. SEDAR72-WP-01. SEDAR, North Charleston, SC. 17 pp. Available online: <a href=\"https:\/\/sedarweb.org\/documents\/sedar-72-wp-01-red-tide-mortality-on-gag-grouper-from-2002-2018-generated-by-an-ecospace-model-of-the-west-florida-shelf\/\">https:\/\/sedarweb.org\/documents\/sedar-72-wp-01-red-tide-mortality-on-gag-grouper-from-2002-2018-generated-by-an-ecospace-model-of-the-west-florida-shelf\/<\/a>.[\/footnote] [footnote]Vilas, D., Buszowski, J., Sagarese, S., Steenbeek, J., Siders, Z., Chagaris, D., 2023. Evaluating red tide effects on the West Florida Shelf using a spatiotemporal ecosystem modeling framework. Scientific Reports 13, 2541. <a href=\"https:\/\/doi.org\/10.1038\/s41598-023-29327-z\">https:\/\/doi.org\/10.1038\/s41598-023-29327-z<\/a>[\/footnote].<\/p>\r\n\r\n<h1>Computations<\/h1>\r\n<p style=\"font-weight: 400\">The amount of other mortality that is to be added to the baseline <em>M0<\/em> is determined by a user defined environment response function and input environment forcing time series (if in Ecosim) or driver maps (in Ecospace).\u00a0 The forcing data must be continuous in nature, representing the concentration or intensity of the mortality agent. The <em>M0<\/em> response function can take any shape, but must be constrained between 0 and 1 across all values of the mortality driver.\u00a0 An example of the useful logistic response function is given in Figure 1.<\/p>\r\n&nbsp;\r\n\r\n[caption id=\"attachment_972\" align=\"aligncenter\" width=\"902\"]<img class=\"wp-image-972 size-full\" src=\"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-42.png\" alt=\"\" width=\"902\" height=\"550\" \/> <b>Figure 1<\/b> - An example M0 response function assigned in the Ecospace environmental response form.\u00a0 Here a logistic function is used to model the increasing mortality with higher concentrations of red tide as a mortality agent.[\/caption]\r\n<p style=\"font-weight: 400\">The proportion of the total biomass that will experience mortality in a given time step and grid cell is given as [latex]P_{mort} = f(x)[\/latex], where <em>x<\/em> is the value of the mortality forcing function at the time step and grid cell and <em>P<sub>mort<\/sub><\/em> is calculated from the response curve at the value of <em>x<\/em>.\u00a0 The proportion killed is converted to an annual instantaneous rate, [latex]\\hat{P}_{mort}[\/latex], to match Ecopath <em>M0<\/em> units (<a href=\"#OtherMortality1\">1<\/a>).\u00a0 The rate is then converted to a multiplier (<em>M0<sub>mult<\/sub><\/em>) on the baseline <em>M0<\/em> rate (<em>M0<sub>base<\/sub><\/em>).<\/p>\r\n<p style=\"text-align: center\"><a id=\"OtherMortality1\"><\/a>[latex]\\hat{P}_{mort} = - \\ln(1-P_{mort} \\cdot 12) \\tag{1}\\label{1}[\/latex]<\/p>\r\n<p style=\"font-weight: 400;text-align: center\"><a id=\"OtherMortality3\"><\/a>[latex]M0_{mult}=(\\hat{P}_{mort}+M0_{base}\/M0_{base} \\tag{2}\\label{2}[\/latex]<\/p>\r\n<p style=\"font-weight: 400\">In Ecosim and Ecospace, the <em>M0<\/em> multiplier is included in the loss equation (<a href=\"#OtherMortality3\">3<\/a>) at each time step and grid cell as,<\/p>\r\n<p style=\"text-align: center\"><a id=\"OtherMortality3\"><\/a>[latex]loss_i=Q_i + (M0_{base_i} \\cdot M0_{mult_i} \\cdot(1 - M0_{pred_i} \\cdot F_{time_i}) +E_i + F_i) \\cdot B_i \\tag{3}\\label{3}[\/latex]<\/p>\r\n<p style=\"font-weight: 400\">Where <em>Q<\/em> is the total consumption of group <em>i<\/em> by all predators, <em>F<sub>time<\/sub><\/em> is the fraction of other mortality sensitive to changes in feeding time, <em>M0<sub>pred<\/sub><\/em> is the effect of predators on feeding time, <em>E<\/em> is the emigration rate, <em>F<\/em> is the fishing mortality rate, and <em>B<\/em> is biomass.<\/p>\r\n\r\n<h1>Configuring M0 Environmental Response Functions<\/h1>\r\n<p style=\"font-weight: 400\">First, the mortality agent must be loaded as a forcing function time series (in Ecosim) or as an environmental driver in Ecospace linked to external data.\u00a0 Next, create a new response function using the <em>Ecospace &gt; Input &gt; <\/em><em>Environmental Responses<\/em> interface (Figure 1).\u00a0 From there, select the <em>Define environmental response\u2026<\/em> button to open a new window, select the <em>Other mortality<\/em> radial button, then click on the mortality agent under the list of Spatial-temporal drivers, select a species or functional group, and click the plus button to apply the mortality response (Figure 2).\u00a0 Alternatively, one may go to the <em>Apply mortality response<\/em> under the Environmental Responses menus (Figures 1 and 3) to associate a functional groups with a mortality curve.\u00a0 The total calculate loss due to other mortality forcing is saved as time series, summed over all grid cells by Ecospace region, or as ascii maps for biomass loss in each grid cell.\u00a0 These output options must be selected in the Ecospace parameters save settings.<\/p>\r\n&nbsp;\r\n\r\n[caption id=\"attachment_977\" align=\"aligncenter\" width=\"949\"]<img class=\"wp-image-977 size-full\" src=\"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-43.png\" alt=\"\" width=\"949\" height=\"527\" \/> <b>Figure 2<\/b> -Linking a species to a mortality response curve can be accomplished in the Define environmental response\u2026 form, accessed from the Ecospace &gt; Input &gt; Ecospace environmental responses window (see Figure 1).\u00a0 Here all six age stanzas of gag are assigned a mortality response to red tide, as well as red group age-0.[\/caption]\r\n\r\n&nbsp;\r\n\r\n[caption id=\"attachment_978\" align=\"aligncenter\" width=\"877\"]<img class=\"wp-image-978 size-full\" src=\"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-44.png\" alt=\"\" width=\"877\" height=\"629\" \/> <b>Figure 3<\/b> - Linking a species to a mortality response curve can be accomplished in the Apply mortality response form under Ecospace &gt; Input &gt; Ecospace Environmental responses.\u00a0 Here all six age stanzas of gag are assigned a mortality response to red tide.[\/caption]\r\n<h1>Acknowledgements<\/h1>\r\nOther mortality forcing was implemented by Joe Buszowski and Jeroen Steenbeek after an idea by David Chagaris, with input from Carl Walters and Villy Christensen.\u00a0 The work is a result of research funded by the National Oceanic and Atmospheric Administration's RESTORE Science Program under award NA17NOS4510098 to the University of Florida.","rendered":"<h1>Scope and Purpose<\/h1>\n<p style=\"font-weight: 400\">This document provides usage instructions for the other mortality response function in the Ecopath with Ecosim food web modelling approach.<\/p>\n<h1>Summary<\/h1>\n<p style=\"font-weight: 400\">Aquatic ecosystems are often exposed to mass mortality events that can be caused by a variety of factors such as low dissolved oxygen, harmful algal blooms, extreme heat\/cold events, contaminants, or noise pollution.\u00a0 The EwE software includes the ability link environmental drivers to the \u2018other mortality\u2019 (M0) component (non fishing or predation) to simulate direct lethal effects of environmental stressors.\u00a0 The MO response function can be used in combination with the habitat capacity model to capture both lethal and sublethal (feeding and movement) effects in the model.\u00a0\u00a0 An example application to red tide on the West Florida Shelf is provided in publication \u00a0by Vilas <a class=\"footnote\" title=\"Vilas Gonzalez, Daniel. 2022. Spatiotemporal Ecosystem Dynamics on the West Florida Shelf\u202f: Prediction, Validation, and Application to Red Tides and Stock Assessment. PhD Dissertation, University of Florida, 2022. Available online: https:\/\/ufdc.ufl.edu\/ufe0058578\/00001\" id=\"return-footnote-967-1\" href=\"#footnote-967-1\" aria-label=\"Footnote 1\"><sup class=\"footnote\">[1]<\/sup><\/a> and Vilas et al. <a class=\"footnote\" title=\"Vilas, Daniel, David Chagaris, and Joe Buszowski. 2020. Red tide mortality on gag grouper from 2002-2018 generated by an Ecospace model of the West Florida Shelf. SEDAR72-WP-01. SEDAR, North Charleston, SC. 17 pp. Available online: https:\/\/sedarweb.org\/documents\/sedar-72-wp-01-red-tide-mortality-on-gag-grouper-from-2002-2018-generated-by-an-ecospace-model-of-the-west-florida-shelf\/.\" id=\"return-footnote-967-2\" href=\"#footnote-967-2\" aria-label=\"Footnote 2\"><sup class=\"footnote\">[2]<\/sup><\/a> <a class=\"footnote\" title=\"Vilas, D., Buszowski, J., Sagarese, S., Steenbeek, J., Siders, Z., Chagaris, D., 2023. Evaluating red tide effects on the West Florida Shelf using a spatiotemporal ecosystem modeling framework. Scientific Reports 13, 2541. https:\/\/doi.org\/10.1038\/s41598-023-29327-z\" id=\"return-footnote-967-3\" href=\"#footnote-967-3\" aria-label=\"Footnote 3\"><sup class=\"footnote\">[3]<\/sup><\/a>.<\/p>\n<h1>Computations<\/h1>\n<p style=\"font-weight: 400\">The amount of other mortality that is to be added to the baseline <em>M0<\/em> is determined by a user defined environment response function and input environment forcing time series (if in Ecosim) or driver maps (in Ecospace).\u00a0 The forcing data must be continuous in nature, representing the concentration or intensity of the mortality agent. The <em>M0<\/em> response function can take any shape, but must be constrained between 0 and 1 across all values of the mortality driver.\u00a0 An example of the useful logistic response function is given in Figure 1.<\/p>\n<p>&nbsp;<\/p>\n<figure id=\"attachment_972\" aria-describedby=\"caption-attachment-972\" style=\"width: 902px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-972 size-full\" src=\"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-42.png\" alt=\"\" width=\"902\" height=\"550\" srcset=\"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-42.png 902w, https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-42-300x183.png 300w, https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-42-768x468.png 768w, https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-42-65x40.png 65w, https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-42-225x137.png 225w, https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-42-350x213.png 350w\" sizes=\"auto, (max-width: 902px) 100vw, 902px\" \/><figcaption id=\"caption-attachment-972\" class=\"wp-caption-text\"><b>Figure 1<\/b> &#8211; An example M0 response function assigned in the Ecospace environmental response form.\u00a0 Here a logistic function is used to model the increasing mortality with higher concentrations of red tide as a mortality agent.<\/figcaption><\/figure>\n<p style=\"font-weight: 400\">The proportion of the total biomass that will experience mortality in a given time step and grid cell is given as [latex]P_{mort} = f(x)[\/latex], where <em>x<\/em> is the value of the mortality forcing function at the time step and grid cell and <em>P<sub>mort<\/sub><\/em> is calculated from the response curve at the value of <em>x<\/em>.\u00a0 The proportion killed is converted to an annual instantaneous rate, [latex]\\hat{P}_{mort}[\/latex], to match Ecopath <em>M0<\/em> units (<a href=\"#OtherMortality1\">1<\/a>).\u00a0 The rate is then converted to a multiplier (<em>M0<sub>mult<\/sub><\/em>) on the baseline <em>M0<\/em> rate (<em>M0<sub>base<\/sub><\/em>).<\/p>\n<p style=\"text-align: center\"><a id=\"OtherMortality1\"><\/a>[latex]\\hat{P}_{mort} = - \\ln(1-P_{mort} \\cdot 12) \\tag{1}\\label{1}[\/latex]<\/p>\n<p style=\"font-weight: 400;text-align: center\"><a id=\"OtherMortality3\"><\/a>[latex]M0_{mult}=(\\hat{P}_{mort}+M0_{base}\/M0_{base} \\tag{2}\\label{2}[\/latex]<\/p>\n<p style=\"font-weight: 400\">In Ecosim and Ecospace, the <em>M0<\/em> multiplier is included in the loss equation (<a href=\"#OtherMortality3\">3<\/a>) at each time step and grid cell as,<\/p>\n<p style=\"text-align: center\"><a id=\"OtherMortality3\"><\/a>[latex]loss_i=Q_i + (M0_{base_i} \\cdot M0_{mult_i} \\cdot(1 - M0_{pred_i} \\cdot F_{time_i}) +E_i + F_i) \\cdot B_i \\tag{3}\\label{3}[\/latex]<\/p>\n<p style=\"font-weight: 400\">Where <em>Q<\/em> is the total consumption of group <em>i<\/em> by all predators, <em>F<sub>time<\/sub><\/em> is the fraction of other mortality sensitive to changes in feeding time, <em>M0<sub>pred<\/sub><\/em> is the effect of predators on feeding time, <em>E<\/em> is the emigration rate, <em>F<\/em> is the fishing mortality rate, and <em>B<\/em> is biomass.<\/p>\n<h1>Configuring M0 Environmental Response Functions<\/h1>\n<p style=\"font-weight: 400\">First, the mortality agent must be loaded as a forcing function time series (in Ecosim) or as an environmental driver in Ecospace linked to external data.\u00a0 Next, create a new response function using the <em>Ecospace &gt; Input &gt; <\/em><em>Environmental Responses<\/em> interface (Figure 1).\u00a0 From there, select the <em>Define environmental response\u2026<\/em> button to open a new window, select the <em>Other mortality<\/em> radial button, then click on the mortality agent under the list of Spatial-temporal drivers, select a species or functional group, and click the plus button to apply the mortality response (Figure 2).\u00a0 Alternatively, one may go to the <em>Apply mortality response<\/em> under the Environmental Responses menus (Figures 1 and 3) to associate a functional groups with a mortality curve.\u00a0 The total calculate loss due to other mortality forcing is saved as time series, summed over all grid cells by Ecospace region, or as ascii maps for biomass loss in each grid cell.\u00a0 These output options must be selected in the Ecospace parameters save settings.<\/p>\n<p>&nbsp;<\/p>\n<figure id=\"attachment_977\" aria-describedby=\"caption-attachment-977\" style=\"width: 949px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-977 size-full\" src=\"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-43.png\" alt=\"\" width=\"949\" height=\"527\" srcset=\"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-43.png 949w, https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-43-300x167.png 300w, https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-43-768x426.png 768w, https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-43-65x36.png 65w, https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-43-225x125.png 225w, https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-43-350x194.png 350w\" sizes=\"auto, (max-width: 949px) 100vw, 949px\" \/><figcaption id=\"caption-attachment-977\" class=\"wp-caption-text\"><b>Figure 2<\/b> -Linking a species to a mortality response curve can be accomplished in the Define environmental response\u2026 form, accessed from the Ecospace &gt; Input &gt; Ecospace environmental responses window (see Figure 1).\u00a0 Here all six age stanzas of gag are assigned a mortality response to red tide, as well as red group age-0.<\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<figure id=\"attachment_978\" aria-describedby=\"caption-attachment-978\" style=\"width: 877px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-978 size-full\" src=\"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-44.png\" alt=\"\" width=\"877\" height=\"629\" srcset=\"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-44.png 877w, https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-44-300x215.png 300w, https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-44-768x551.png 768w, https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-44-65x47.png 65w, https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-44-225x161.png 225w, https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-content\/uploads\/sites\/2056\/2023\/10\/Picture1-44-350x251.png 350w\" sizes=\"auto, (max-width: 877px) 100vw, 877px\" \/><figcaption id=\"caption-attachment-978\" class=\"wp-caption-text\"><b>Figure 3<\/b> &#8211; Linking a species to a mortality response curve can be accomplished in the Apply mortality response form under Ecospace &gt; Input &gt; Ecospace Environmental responses.\u00a0 Here all six age stanzas of gag are assigned a mortality response to red tide.<\/figcaption><\/figure>\n<h1>Acknowledgements<\/h1>\n<p>Other mortality forcing was implemented by Joe Buszowski and Jeroen Steenbeek after an idea by David Chagaris, with input from Carl Walters and Villy Christensen.\u00a0 The work is a result of research funded by the National Oceanic and Atmospheric Administration&#8217;s RESTORE Science Program under award NA17NOS4510098 to the University of Florida.<\/p>\n<hr class=\"before-footnotes clear\" \/><div class=\"footnotes\"><ol><li id=\"footnote-967-1\">Vilas Gonzalez, Daniel. 2022. Spatiotemporal Ecosystem Dynamics on the West Florida Shelf\u202f: Prediction, Validation, and Application to Red Tides and Stock Assessment. PhD Dissertation, University of Florida, 2022. Available online: <a href=\"https:\/\/ufdc.ufl.edu\/ufe0058578\/00001\">https:\/\/ufdc.ufl.edu\/ufe0058578\/00001<\/a> <a href=\"#return-footnote-967-1\" class=\"return-footnote\" aria-label=\"Return to footnote 1\">&crarr;<\/a><\/li><li id=\"footnote-967-2\">Vilas, Daniel, David Chagaris, and Joe Buszowski. 2020. Red tide mortality on gag grouper from 2002-2018 generated by an Ecospace model of the West Florida Shelf. SEDAR72-WP-01. SEDAR, North Charleston, SC. 17 pp. Available online: <a href=\"https:\/\/sedarweb.org\/documents\/sedar-72-wp-01-red-tide-mortality-on-gag-grouper-from-2002-2018-generated-by-an-ecospace-model-of-the-west-florida-shelf\/\">https:\/\/sedarweb.org\/documents\/sedar-72-wp-01-red-tide-mortality-on-gag-grouper-from-2002-2018-generated-by-an-ecospace-model-of-the-west-florida-shelf\/<\/a>. <a href=\"#return-footnote-967-2\" class=\"return-footnote\" aria-label=\"Return to footnote 2\">&crarr;<\/a><\/li><li id=\"footnote-967-3\">Vilas, D., Buszowski, J., Sagarese, S., Steenbeek, J., Siders, Z., Chagaris, D., 2023. Evaluating red tide effects on the West Florida Shelf using a spatiotemporal ecosystem modeling framework. Scientific Reports 13, 2541. <a href=\"https:\/\/doi.org\/10.1038\/s41598-023-29327-z\">https:\/\/doi.org\/10.1038\/s41598-023-29327-z<\/a> <a href=\"#return-footnote-967-3\" class=\"return-footnote\" aria-label=\"Return to footnote 3\">&crarr;<\/a><\/li><\/ol><\/div>","protected":false},"author":1909,"menu_order":12,"template":"","meta":{"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":["davidchagaris","joebuszowski","jeroensteenbeek"],"pb_section_license":""},"chapter-type":[],"contributor":[66,62,67],"license":[],"class_list":["post-967","chapter","type-chapter","status-publish","hentry","contributor-davidchagaris","contributor-jeroensteenbeek","contributor-joebuszowski"],"part":441,"_links":{"self":[{"href":"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-json\/pressbooks\/v2\/chapters\/967","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-json\/wp\/v2\/users\/1909"}],"version-history":[{"count":13,"href":"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-json\/pressbooks\/v2\/chapters\/967\/revisions"}],"predecessor-version":[{"id":1793,"href":"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-json\/pressbooks\/v2\/chapters\/967\/revisions\/1793"}],"part":[{"href":"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-json\/pressbooks\/v2\/parts\/441"}],"metadata":[{"href":"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-json\/pressbooks\/v2\/chapters\/967\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-json\/wp\/v2\/media?parent=967"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-json\/pressbooks\/v2\/chapter-type?post=967"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-json\/wp\/v2\/contributor?post=967"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/eweguide\/wp-json\/wp\/v2\/license?post=967"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}