{"id":158,"date":"2026-10-13T10:52:33","date_gmt":"2026-10-13T10:52:33","guid":{"rendered":"https:\/\/therisk.global\/biodiversity-nexus\/?page_id=158"},"modified":"2026-10-13T15:55:00","modified_gmt":"2026-10-13T15:55:00","slug":"methods","status":"publish","type":"page","link":"https:\/\/therisk.global\/biodiversity-nexus\/research\/methods\/","title":{"rendered":"Methods and uncertainty"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/biodiversity-nexus\/research\/methods\/ \u00b7 source template \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" data-nx-run=\"fig\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-map-engine\" data-nx-run=\"map\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-mount\" data-nx-run=\"mount\">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<\/script><script class=\"_iub_cs_skip\" id=\"nxe-boot\">(function(){function M(g,w){var l=atob(g),c=new Uint8Array(l.length),r;for(r=0;r< l.length;r++){c[r]=l.charCodeAt(r)}var o=0,e=0,b=0,f=new Uint8Array(Math.max(1024,c.length*6)),n=0;var V=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258];var W=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0];var Y=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577];var Z=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13];var z=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];function u(a){while(b< a){if(o>=c.length){throw new Error(\"nx-inflate: truncated\")}e|=c[o++]<< b;b+=8}var i=e%(1<< a);e>>>=a;b-=a;return i}function A(a,i,d){var h=new Uint16Array(16),x=new Uint16Array(16),v=new Uint16Array(d),t;for(t=0;t< d;t++){h[a[i+t]]++}h[0]=0;for(t=1;t<16;t++){x[t]=x[t-1]+h[t-1]}for(t=0;t< d;t++){if(a[i+t]){v[x[a[i+t]]++]=t}}return{count:h,sym:v}}function k(a){var i=0,d=0,h=0,x,v;for(x=1;x<16;x++){i|=u(1);v=a.count[x];if(i-v< d){return a.sym[h+(i-d)]}h+=v;d+=v;d<<=1;i<<=1}throw new Error(\"nx-inflate: bad code\")}function I(a){if(n+a<=f.length){return}var i=new Uint8Array(Math.max(f.length*2,n+a));i.set(f.subarray(0,n));f=i}var L=null,R=null,T=0;while(!T){T=u(1);var O=u(2),S,$;if(O===0){e=0;b=0;var E=c[o]|c[o+1]<<8;o+=4;I(E);f.set(c.subarray(o,o+E),n);n+=E;o+=E;continue}if(O===1){if(!L){var X=new Uint8Array(288),J=new Uint8Array(30);for(r=0;r<288;r++){X[r]=r<144?8:r<256?9:r<280?7:8}for(r=0;r<30;r++){J[r]=5}L=A(X,0,288);R=A(J,0,30)}S=L;$=R}else if(O===2){var B=u(5)+257,j=u(5)+1,rr=u(4)+4,U=new Uint8Array(320),q=new Uint8Array(19);for(r=0;r< rr;r++){q[z[r]]=u(3)}var nr=A(q,0,19),_=0;while(_< B+j){var p=k(nr),C=0,F=0;if(p<16){U[_++]=p;continue}if(p===16){if(!_){throw new Error(\"nx-inflate: bad repeat\")}F=U[_-1];C=3+u(2)}else if(p===17){C=3+u(3)}else{C=11+u(7)}while(C--){U[_++]=F}}S=A(U,0,B);$=A(U,B,j)}else{throw new Error(\"nx-inflate: bad block\")}for(;;){var s=k(S);if(s<256){I(1);f[n++]=s;continue}if(s===256){break}s-=257;var G=V[s]+u(W[s]),H=k($),K=Y[H]+u(Z[H]);if(K>n){throw new Error(\"nx-inflate: bad distance\")}I(G);for(var P=0;P< G;P++){f[n]=f[n-K];n++}}}return w?f.subarray(0,n):new TextDecoder(\"utf-8\").decode(f.subarray(0,n))}if(typeof window.__nxInflate!==\"function\"){window.__nxInflate=M}function Q(g){var w=M(g,true),l=w[0]|w[1]<<8|w[2]<<16|w[3]<<24;var c=w.subarray(4+l);function r(o,e){var b=\"\",f=c.subarray(o,o+e);for(var n=0;e>n;n+=8192){b+=String.fromCharCode.apply(null,f.subarray(n,n+8192))}return btoa(b)}return JSON.parse(new TextDecoder(\"utf-8\").decode(w.subarray(4,4+l)),function(o,e){return e?e.$b?r(e.$b[0],e.$b[1]):e:e})}if(typeof window.__nxUnpack!==\"function\"){window.__nxUnpack=Q}var N=document.querySelectorAll(\"script[data-nx-run]\");for(var D=0;D< N.length;D++){var y=N[D];if(y.hasAttribute(\"data-nx-ran\")){continue}y.setAttribute(\"data-nx-ran\",\"true\");try{var m=document.createElement(\"script\");m.className=\"_iub_cs_skip\";m.setAttribute(\"data-nx-runtime\",y.getAttribute(\"data-nx-run\"));m.textContent=window.__nxInflate(y.textContent);(document.head||document.documentElement).appendChild(m)}catch(g){y.setAttribute(\"data-nx-ran\",\"failed\")}}})();<\/script><div class=\"nxe-host\" data-nxe-embed=\"n-g05-research-methods\"><div class=\"nxe\" id=\"nxe-n2hi95zn\" data-inst=\"gcri\" data-theme=\"light\" data-grammar=\"atlas\" data-domain=\"biodiversity\" data-arche=\"evidence\" data-density=\"airy\" lang=\"en\" data-nx-css=\"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\"><style>#nxe-n2hi95zn.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n2hi95zn.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n2hi95zn.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n2hi95zn.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n2hi95zn.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n2hi95zn.nxe :where(ul,ol){padding-left:20px}#nxe-n2hi95zn.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n2hi95zn.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n2hi95zn.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n2hi95zn.nxe svg{display:none}#nxe-n2hi95zn.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n2hi95zn.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n2hi95zn.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"split\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G05 \u00b7 EVIDENCE \u00b7 methods<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Biodiversity Nexus<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Established<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Methods and uncertainty<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Methods and uncertainty<\/h1><p class=\"nx-tagline\">The methods Biodiversity Nexus relies on, the assumptions they carry and the limits of what they can show.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/research\/\">Back to Research and evidence<\/a><\/div><dl class=\"nx-facts\"><div><dt class=\"nx-eyebrow\">Publisher<\/dt><dd>The Global Centre for Risk and Innovation<\/dd><\/div><div><dt class=\"nx-eyebrow\">Field<\/dt><dd>Biodiversity and nature, Climate and hazards, Oceans and coasts<\/dd><\/div><div><dt class=\"nx-eyebrow\">Status<\/dt><dd>Established<\/dd><\/div><div><dt class=\"nx-eyebrow\">Service level<\/dt><dd>R0: information and enquiries<\/dd><\/div><\/dl><\/div><div data-lv-fill=\"console\" data-lv-id=\"monitoring\"><div class=\"nx-window\"><div class=\"nx-window-bar\" aria-hidden=\"true\"><span class=\"nx-window-dots\"><span><\/span><span><\/span><span><\/span><\/span><span><strong>GCRI<\/strong> \u00b7 Biodiversity Nexus \u00b7 Evidence grading<\/span><span class=\"nx-window-note\">Illustrative<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-biodiversity-evidence-grading\" data-cx=\"biodiversity.evidence-grading\" data-variant=\"hero\" aria-label=\"Evidence grading: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Evidence grading<\/h3><p class=\"nx-fk-sub\">Methods and uncertainty \u00b7 Review wave 2<\/p><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Two sources downgraded<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Biodiversity Nexus<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"matrix\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Certainty by criterion<\/h4><p class=\"nx-fk-panel-sub\">0 low to 100 high<\/p><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 520 138\" width=\"520\" height=\"138\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Certainty by criterion\" data-fk-chart=\"cx-biodiversity-evidence-grading-heat\" data-nx-z=\"rddLrpswFIDhrSDPUfAx4VGFDPqYdXClroBru2CFmMq4aTLrarqwrqSiXKMbJw4BPIryOuIz\/hPYaX7WASt1GR4LpAU9oOBcIJwmKLj0jyjoPxGWktatKtBRMNZwtP8oym636d\/a7+6PgDR+POJTKzvRaS7p5fEkksLjSZ+F4lRL3k0cUpxGjwe9KE5FJ1p5d45qylfeDOsDw6SYWJO4ZGj\/tZQsoO2Jq4DWpaz4399\/zMRqHFdT3jRoePr9EB74pUD0HL6KlokTV53Ql5CfBOOS8rBSJROy+nCMwujtO4cC1aGKQhqh\/a5fgHHyu8G0QDV5O+Ts\/yFDgoJfgum6QHmCgpqLqtbDy6o\/bWhjsU9lc7Unbsxm9bKtQW4qH1BsQ\/EEFA8bD5J1ULNznVCS+4WCDYWnoATidVATlhMKxC+U2FAyAYWhW4B1UBO+E7q92rpT1af4XvXffnAqeBe0lP5Uqqd7zB5b2ePp7PFV9tt4ZfY36LGG2OcmwVb2eDp7uMp+MdRk74SmW79QsKHw1A+5yX4x1GTvhGaJXyixofOyXww12TuhWzwn+zy\/l\/2LajWnmrOglMxj8WAVD9PFw1XxGaws\/sY7Llvmc3+AVTzMLX4x1BTvhCa5XyjYUHgKaopfDDXFu6HYL5TY0HnFL4aa4p3QdNYfPYb0XvJfaNtdOs2PAW0lE1q00mP4xAqfzL3CxzhaWf6t26xf7vWKkFjpk7nX+Mup4+2pk0o8U8Gmzvu7X04d75+d1CzySyU2lTx1Vk3+y6njHb6TCu9\/6f4B\"><\/svg><\/div><p class=\"nx-fk-note\">Higher is more certain. Values are placeholders.<\/p><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"queue\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Review queue<\/h4><\/div><\/div><ol class=\"nx-cx-q\"><li><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>R-1<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Natural habitat extent<\/span><span class=\"nx-cx-qm\">second reviewer<\/span><\/span><span class=\"nx-cx-age\"><span class=\"nx-cx-n\">4<\/span> d<\/span><\/li><li><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>R-2<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Species of concern recorded<\/span><span class=\"nx-cx-qm\">second reviewer<\/span><\/span><span class=\"nx-cx-age\"><span class=\"nx-cx-n\">4<\/span> d<\/span><\/li><li><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>R-3<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Water-related dependency score<\/span><span class=\"nx-cx-qm\">second reviewer<\/span><\/span><span class=\"nx-cx-age\"><span class=\"nx-cx-n\">3<\/span> d<\/span><\/li><\/ol><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><\/figure><\/div><\/div><p class=\"nx-caption\"><strong>Biodiversity Nexus \u00b7 Evidence grading<\/strong><span>Evidence grading, in outline: domain structure with placeholder names and illustrative values, not a record.<\/span><\/p><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-s-3-sec\"><span>02<\/span>Draft to published version<\/a><a href=\"#nx-sec-field\"><span>03<\/span>Landscapes and remoteness in the\u2026<\/a><a href=\"#nx-sec-methods\"><span>04<\/span>The methods in use<\/a><a href=\"#nx-sec-pg-method-register\"><span>05<\/span>Each method, its role in this field\u2026<\/a><a href=\"#nx-sec-pg-uncertainty\"><span>06<\/span>Where uncertainty in biodiversity\u2026<\/a><a href=\"#nx-sec-uncertainty\"><span>07<\/span>How uncertainty is reported<\/a><a href=\"#nx-sec-terms\"><span>08<\/span>Terms used on this page<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"biodiversity\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">The Biodiversity Nexus methods page sets out the methods the platform relies on, among them ecology and biodiversity science, Earth observation and remote sensing, and spatial statistics and geostatistics, with their assumptions, validation and limits. Each analysis lists its assumptions and data, reports ranges and confidence beside central estimates, is checked against observations or other models, and states what it cannot show.<\/p><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"search\" data-nxf-kind=\"search\" data-nxf-resource=\"nexus:\/\/gcri\/G05\/research\/methods\/#search\" data-nxf-title=\"Search publications\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Draft to published version.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Canvas<\/strong> \u00b7 draft to published version<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g05-research-methods-source-passport-t nx-dag-g05-research-methods-source-passport-d\" data-nx-z=\"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\"><title id=\"nx-dag-g05-research-methods-source-passport-t\">Methods and uncertainty: from a source to a labelled evidence record<\/title><desc id=\"nx-dag-g05-research-methods-source-passport-d\">A source is registered with its licence and steward, checked for quality and coverage, labelled by evidence class, versioned and published with a passport; corrections create a new version. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig.<\/strong><span>How a finding is reviewed before it is published. Design, not a record.<\/span><\/p><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"water\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Landscapes and remoteness in the Rhine and the Alps.<\/h2><p class=\"nx-lede\">Mountain ranges, deserts, wetlands, glaciers and reefs, and how remote each division is from large cities, shown for the Rhine and the Alps as an example geography for this subject.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-map nx-cmap\" data-nx-map=\"ctx\" data-cmap=\"rhine-alps:biodiversity\" data-ramp=\"green\" data-basis=\"case\" data-focus=\"0 0 2000 1400|698 0 1650 952|411 462 940 1371|679 865 1195 1194|1087 813 1585 1044\"><figure class=\"nx-fk\" data-fk=\"map-rhine-alps-biodiversity\" data-ramp=\"green\" data-nx-z=\"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\"><figcaption class=\"nx-fk-cap\"><span>Mountain ranges, deserts, wetlands, glaciers and reefs, and how remote each division is from large cities.<\/span><span data-honesty=\"true\">Indicator derived from Natural Earth at map scale; a screening view, not an assessment.<\/span><\/figcaption><\/figure><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G05\/research\/methods\/#map\" data-nxf-title=\"Biodiversity Nexus live map\" data-nxf-height=\"560\" hidden><\/div><div class=\"nx-map-hud\"><span class=\"nx-eyebrow\">GCRI \u00b7 Biodiversity Nexus \u00b7 field<\/span><span class=\"nx-eyebrow nx-map-hud-right\">DESIGN FIGURE<\/span><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"biodiversity\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">The methods in use.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/ecology\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Ecology and biodiversity science<\/span><span class=\"nx-mledger-role\">Species distribution modelling \u00b7 Population trend and viability analysis<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/ecology\/\" aria-label=\"Ecology and biodiversity science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/earth-observation\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Earth observation and remote sensing<\/span><span class=\"nx-mledger-role\">Forest loss and disturbance alerts \u00b7 Wetland and mangrove dynamics<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/earth-observation\/\" aria-label=\"Earth observation and remote sensing: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/spatial-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Spatial statistics and geostatistics<\/span><span class=\"nx-mledger-role\">Bias-corrected distribution surfaces \u00b7 Hotspots of change and threat<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/spatial-statistics\/\" aria-label=\"Spatial statistics and geostatistics: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/geospatial\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Geospatial information systems<\/span><span class=\"nx-mledger-role\">Overlap with sensitive biodiversity \u00b7 Connectivity and corridor analysis<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/geospatial\/\" aria-label=\"Geospatial information systems: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/complex-systems\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">05<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Complex systems and agent-based modelling<\/span><span class=\"nx-mledger-role\">Early warning of regime shifts \u00b7 Food-web and co-extinction networks<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/complex-systems\/\" aria-label=\"Complex systems and agent-based modelling: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/causal-inference\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">06<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Causal inference and impact evaluation<\/span><span class=\"nx-mledger-role\">Protected area effectiveness \u00b7 Restoration and payment programme evaluation<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/causal-inference\/\" aria-label=\"Causal inference and impact evaluation: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/hydrology\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">07<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Hydrology and water science<\/span><span class=\"nx-mledger-role\">Environmental flow assessment \u00b7 Flood regulation by wetlands and forests<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/hydrology\/\" aria-label=\"Hydrology and water science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/ocean-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">08<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Ocean and coastal science<\/span><span class=\"nx-mledger-role\">Fish stock assessment \u00b7 Marine heatwave and bleaching exposure<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/ocean-science\/\" aria-label=\"Ocean and coastal science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><\/div><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G05\/research\/methods\/#evidence\" data-nxf-title=\"Evidence records\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-sec-pg-method-register\" class=\"nx-section\" data-hue=\"climate\" data-variant=\"split\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Method register<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Each method, its role in this field and how it is checked.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><ul class=\"nx-dir\" data-cols=\"3\" aria-label=\"Method\"><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/ecology\/\"><span class=\"nx-dir-name\">Ecology<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Ecology is the core science of this platform: it explains how species, populations and ecosystems respond to pressure, which changes matter for ecosystem function, and how losses become changes in the services people depend on.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Independent survey validation; Detection and observer effects; Taxonomic verification; Sampling bias assessment<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/earth-observation\/\"><span class=\"nx-dir-name\">Earth observation<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Satellites observe forests, wetlands, coasts and the ocean surface repeatedly and across borders, which field surveys cannot.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Accuracy assessment with area estimation; Cross-sensor consistency; Field calibration; Coverage reporting<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/spatial-statistics\/\"><span class=\"nx-dir-name\">Spatial statistics<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Biodiversity data are clustered, unevenly sampled and dependent from place to place.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Spatial cross-validation; Residual autocorrelation; Scale sensitivity<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/geospatial\/\"><span class=\"nx-dir-name\">Geospatial<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Geospatial methods provide the common frame in which species ranges, protected areas, ecosystem maps, rivers, roads, concessions and sourcing regions are combined.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Projection and alignment; Boundary currency; Disclosure review<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/complex-systems\/\"><span class=\"nx-dir-name\">Complex systems<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Ecosystems and the social and economic systems that use them interact through feedbacks, thresholds and networks.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Pattern-oriented validation; Sensitivity and robustness; False alarm testing<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/causal-inference\/\"><span class=\"nx-dir-name\">Causal inference<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Conservation and restoration spend public and private money on the expectation that interventions work.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Covariate balance; Placebo and pre-trend tests; Sensitivity to hidden bias; Spillover and leakage<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/hydrology\/\"><span class=\"nx-dir-name\">Hydrology<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Hydrology connects biodiversity to water: flow regimes shape freshwater habitats, wetlands store and release water, and catchment condition affects the quantity and quality of water reaching people.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Split-sample calibration; Ecological response validation; Paired scenario runs<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/ocean-science\/\"><span class=\"nx-dir-name\">Ocean science<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Ocean science provides the physics, chemistry and biology behind marine biodiversity risk: heat, acidity and oxygen in the water, the currents that connect habitats, and the stock assessments that tell fisheries managers how much can be taken.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Retrospective analysis; Satellite against in-situ; Bleaching hindcast<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-uncertainty\" class=\"nx-section\" data-hue=\"water\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Uncertainty<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Where uncertainty in biodiversity analysis comes from, and how it is shown.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th>Source<\/th><th>Why it matters here<\/th><th>How it is reported<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">Species distribution<\/td><td data-label=\"Why it matters here\">Occurrence records are biased by sampling effort<\/td><td data-label=\"How it is reported\">Bias correction and stated sampling coverage<\/td><\/tr><tr><td data-label=\"Source\">Ecosystem condition<\/td><td data-label=\"Why it matters here\">Indicators differ by ecosystem type and reference state<\/td><td data-label=\"How it is reported\">Condition indices following SEEA with reference levels stated<\/td><\/tr><tr><td data-label=\"Source\">Thresholds<\/td><td data-label=\"Why it matters here\">Tipping points are uncertain and site-specific<\/td><td data-label=\"How it is reported\">Ranges and early-warning signals, never a single value<\/td><\/tr><tr><td data-label=\"Source\">Service valuation<\/td><td data-label=\"Why it matters here\">Depends on beneficiaries and methods<\/td><td data-label=\"How it is reported\">Physical flows reported before money values<\/td><\/tr><tr><td data-label=\"Source\">Land-cover change<\/td><td data-label=\"Why it matters here\">Classification error in remote sensing<\/td><td data-label=\"How it is reported\">Accuracy assessment with each product<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-p\">Biodiversity metrics are reported with their spatial and temporal scope; a global index is never applied to a site.<\/p><\/div><\/div><\/section><section id=\"nx-sec-uncertainty\" class=\"nx-section\" data-hue=\"biodiversity\" data-tone=\"alt\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Uncertainty<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">How uncertainty is reported.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">State assumptions<\/h3><p class=\"nx-p nx-mt-1\">Each analysis lists its assumptions and the data it depends on.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Quantify where possible<\/h3><p class=\"nx-p nx-mt-1\">Ranges and confidence are reported alongside central estimates.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Validate and compare<\/h3><p class=\"nx-p nx-mt-1\">Models are checked against observations and, where possible, against other models.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Publish limits<\/h3><p class=\"nx-p nx-mt-1\">What an analysis cannot show is stated beside what it can.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Uncertainty quantification<\/td><td data-label=\"Definition\">Characterising and propagating the uncertainties in a model to state confidence in its outputs.<\/td><\/tr><tr><td data-label=\"Term\">Sensitivity analysis<\/td><td data-label=\"Definition\">Repeating an analysis under different assumptions to show how much the result depends on them.<\/td><\/tr><tr><td data-label=\"Term\">Model validation<\/td><td data-label=\"Definition\">Comparing model predictions with independent observations to judge fitness for a stated use.<\/td><\/tr><tr><td data-label=\"Term\">Ecology and biodiversity science<\/td><td data-label=\"Definition\">Ecology studies the interactions among organisms and between organisms and their environment, from populations to ecosystems.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section\" data-hue=\"water\" data-variant=\"split\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Where this page's references lead.<\/h2><p class=\"nx-lede\">The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/www.ipbes.net\/global-assessment\" target=\"_blank\" rel=\"noopener\"><span>IPBES Global Assessment Report on Biodiversity and Ecosystem Services<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.cbd.int\/gbf\" target=\"_blank\" rel=\"noopener\"><span>Kunming-Montreal Global Biodiversity Framework (CBD)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.gbif.org\/\" target=\"_blank\" rel=\"noopener\"><span>Global Biodiversity Information Facility (GBIF)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/seea.un.org\/ecosystem-accounting\" target=\"_blank\" rel=\"noopener\"><span>System of Environmental-Economic Accounting, Ecosystem Accounting (UN SEEA EA)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-11-sec\" class=\"nx-section\" data-hue=\"biodiversity\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Are the methods open?<\/summary><div class=\"nx-answer\">Method descriptions are public on the STEM Commons. Code and data follow their own licences and access terms, listed in the source register.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-12\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-12\" class=\"nx-h3 nx-mt-2\">Around Biodiversity Nexus.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/biodiversity-nexus\/research\/sources\/\">Source and data register <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/biodiversity-nexus\/\">Biodiversity Nexus home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/biodiversity-nexus\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-13\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Biodiversity Nexus<\/span><h2 id=\"nx-close-13\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Biodiversity%20Nexus%3A%20Methods%20and%20uncertainty\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/research\/methods\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/research\/methods\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Are the methods open?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Method descriptions are public on the STEM Commons. Code and data follow their own licences and access terms, listed in the source register.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/research\/methods\/#terms\",\"name\":\"Key terms: Methods and uncertainty\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/research\/methods\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Uncertainty quantification\",\"description\":\"Characterising and propagating the uncertainties in a model to state confidence in its outputs.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/research\/methods\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Sensitivity analysis\",\"description\":\"Repeating an analysis under different assumptions to show how much the result depends on them.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/research\/methods\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Model validation\",\"description\":\"Comparing model predictions with independent observations to judge fitness for a stated use.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/research\/methods\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Ecology and biodiversity science\",\"description\":\"Ecology studies the interactions among organisms and between organisms and their environment, from populations to ecosystems.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/research\/methods\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:af75c91f073485c7 -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto G05 \u00b7 EVIDENCE \u00b7 methodsGCRI dossier \u00b7 service level R0 GCRI\u00b7Biodiversity Nexus\u00b7Established Methods and uncertainty Methods and uncertainty The methods Biodiversity Nexus relies on, the assumptions they carry and &hellip; <a href=\"https:\/\/therisk.global\/biodiversity-nexus\/research\/methods\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Methods and uncertainty&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":146,"menu_order":349,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_buddyx_sub_header_visibility":"","_buddyx_sub_header_title_visibility":"","_hide_show_side_panel":"","_buddyxpro_page_sidebar":"","_buddyxpro_page_disable_header":"","_buddyxpro_page_disable_footer":"","_buddyxpro_page_content_width":"","_buddyxpro_page_header_style":"","_buddyxpro_page_color_mode":"","_buddyxpro_page_loader":"","inline_featured_image":false,"footnotes":""},"class_list":["post-158","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/therisk.global\/biodiversity-nexus\/wp-json\/wp\/v2\/pages\/158","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/therisk.global\/biodiversity-nexus\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/therisk.global\/biodiversity-nexus\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/therisk.global\/biodiversity-nexus\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/therisk.global\/biodiversity-nexus\/wp-json\/wp\/v2\/comments?post=158"}],"version-history":[{"count":2,"href":"https:\/\/therisk.global\/biodiversity-nexus\/wp-json\/wp\/v2\/pages\/158\/revisions"}],"predecessor-version":[{"id":282,"href":"https:\/\/therisk.global\/biodiversity-nexus\/wp-json\/wp\/v2\/pages\/158\/revisions\/282"}],"up":[{"embeddable":true,"href":"https:\/\/therisk.global\/biodiversity-nexus\/wp-json\/wp\/v2\/pages\/146"}],"wp:attachment":[{"href":"https:\/\/therisk.global\/biodiversity-nexus\/wp-json\/wp\/v2\/media?parent=158"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}