{"id":163,"date":"2026-10-13T10:54:24","date_gmt":"2026-10-13T10:54:24","guid":{"rendered":"https:\/\/therisk.global\/biodiversity-nexus\/?page_id=163"},"modified":"2026-10-13T15:57:12","modified_gmt":"2026-10-13T15:57:12","slug":"ecology","status":"publish","type":"page","link":"https:\/\/therisk.global\/biodiversity-nexus\/stem\/ecology\/","title":{"rendered":"Ecology and biodiversity science"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/biodiversity-nexus\/stem\/ecology\/ \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-stem-ecology\"><div class=\"nxe\" id=\"nxe-n23w3jmo\" data-inst=\"gcri\" data-theme=\"light\" data-grammar=\"atlas\" data-domain=\"biodiversity\" data-arche=\"method\" data-density=\"airy\" lang=\"en\" data-nx-css=\"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\"><style>#nxe-n23w3jmo.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-n23w3jmo.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n23w3jmo.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n23w3jmo.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n23w3jmo.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n23w3jmo.nxe :where(ul,ol){padding-left:20px}#nxe-n23w3jmo.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n23w3jmo.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n23w3jmo.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n23w3jmo.nxe svg{display:none}#nxe-n23w3jmo.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n23w3jmo.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n23w3jmo.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=\"console\" 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 METHOD \u00b7 ecology<\/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>Method page \u00b7 Ecology and biodiversity science<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Ecology and biodiversity science<\/h1><p class=\"nx-tagline\">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. Field survey design and long-term monitoring give the evidence that every model is checked against.<\/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\/stem\/\">Back to STEM foundation of Biodiversity Nexus<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Method record<\/strong><\/span><span class=\"nx-eyebrow\">ecology<\/span><\/div><ol class=\"nx-register-rows\"><li><div><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Ecology and biodiversity science<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Steward<\/span><span class=\"nx-register-v\">Biodiversity Nexus<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Applied in<\/span><span class=\"nx-register-v\">Biodiversity Nexus<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Data<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-data\">5 inputs<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Checks<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-checks\">4 validation steps<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Canonical page<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/ecology\/\">STEM Commons<\/a><\/span><\/div><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 Established \u00b7 service level R0<\/p><\/div><\/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-sec-application\"><span>02<\/span>What ecology and biodiversity\u2026<\/a><a href=\"#nx-sec-terms\"><span>03<\/span>Terms used on this page<\/a><a href=\"#nx-sec-field\"><span>04<\/span>Landscapes and remoteness in the\u2026<\/a><a href=\"#nx-sec-canvas\"><span>05<\/span>The method as a run graph<\/a><a href=\"#nx-sec-data\"><span>06<\/span>What the method consumes<\/a><a href=\"#nx-sec-checks\"><span>07<\/span>How results are checked<\/a><a href=\"#nx-sec-connections\"><span>08<\/span>Topics that rely on this method<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"biodiversity\" data-variant=\"split\" 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\">Ecology is the science of how organisms interact with each other and their environment. Here it explains how species, populations and ecosystems respond to pressure and how losses change the services people rely on. Field survey design and long-term monitoring, now including environmental DNA and acoustic surveys, give the evidence every model is checked against.<\/p><\/div><\/div><\/section><section id=\"nx-sec-application\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" data-variant=\"stack\" 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\">Application<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">What ecology and biodiversity science does here.<\/h2><p class=\"nx-lede\">Ecology studies the interactions among organisms and between organisms and their environment, from populations to ecosystems. It explains how biodiversity loss and ecosystem change alter services such as pollination, water regulation and disease control. In biodiversity and nature, climate and hazards and oceans and coasts, ecological assessment identifies dependencies of agriculture, water and health on natural systems. It supports nature-related disclosure and the evaluation of tipping-point risks. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/ecology\/\">the STEM Commons<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cols\"><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M6 18h8\"\/><path d=\"M3 22h18\"\/><path d=\"M14 22a7 7 0 1 0 0-14h-1\"\/><path d=\"M9 14h2\"\/><path d=\"M9 12a2 2 0 0 1-2-2V6h6v4a2 2 0 0 1-2 2Z\"\/><path d=\"M12 6V3a1 1 0 0 0-1-1H9a1 1 0 0 0-1 1v3\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Species distribution modelling<\/h3><p class=\"nx-p nx-mt-1\">Occurrence records and environmental layers are combined to estimate where a species can occur, with sampling bias corrected, absence data used where they exist and uncertainty mapped beside the prediction.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M22 12h-2.48a2 2 0 0 0-1.93 1.46l-2.35 8.36a.25.25 0 0 1-.48 0L9.24 2.18a.25.25 0 0 0-.48 0l-2.35 8.36A2 2 0 0 1 4.49 12H2\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Population trend and viability analysis<\/h3><p class=\"nx-p nx-mt-1\">Repeated counts are modelled to separate trend from observation error, and viability analysis estimates how extinction risk changes under alternative management or habitat loss.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M7 20h10\"\/><path d=\"M10 20c5.5-2.5.8-6.4 3-10\"\/><path d=\"M9.5 9.4c1.1.8 1.8 2.2 2.3 3.7-2 .4-3.5.4-4.8-.3-1.2-.6-2.3-1.9-3-4.2 2.8-.5 4.4 0 5.5.8z\"\/><path d=\"M14.1 6a7 7 0 0 0-1.1 4c1.9-.1 3.3-.6 4.3-1.4 1-1 1.6-2.3 1.7-4.6-2.7.1-4 1-4.9 2z\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Environmental DNA and acoustic surveys<\/h3><p class=\"nx-p nx-mt-1\">Water, soil or air samples are sequenced and sound recorders deployed to detect species that are hard to see, with detection probability estimated from replicate samples.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"water\" data-tone=\"alt\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-4\" 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\">Species distribution model<\/td><td data-label=\"Definition\">A model relating species records to environmental variables to predict where a species can occur.<\/td><\/tr><tr><td data-label=\"Term\">Population viability analysis<\/td><td data-label=\"Definition\">Estimating a population's risk of decline or extinction over time from its size, trend and variability.<\/td><\/tr><tr><td data-label=\"Term\">Environmental DNA<\/td><td data-label=\"Definition\">Genetic material shed by organisms into water, soil or air, sampled to detect species without seeing them.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" 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\">Geography<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Landscapes and remoteness in the Nordic and Baltic region.<\/h2><p class=\"nx-lede\">Mountain ranges, deserts, wetlands, glaciers and reefs, and how remote each division is from large cities, shown for the Nordic and Baltic region 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=\"nordic-baltic:biodiversity\" data-ramp=\"green\" data-basis=\"case\" data-focus=\"0 0 2000 1400|751 241 1177 1195|1066 152 1430 882|543 80 1313 983|1119 1110 1350 1292\"><figure class=\"nx-fk\" data-fk=\"map-nordic-baltic-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\/stem\/ecology\/#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-canvas\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" 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\">Canvas<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">The method as a run graph.<\/h2><p class=\"nx-lede\">Data from the source register feeds the methods; calibration and an independent test gate the estimate and its limits; the decision stays with the competent authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Method canvas<\/strong> \u00b7 Ecology and biodiversity science as applied here<\/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-stem-ecology-source-passport-t nx-dag-g05-stem-ecology-source-passport-d\" data-nx-z=\"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\"><title id=\"nx-dag-g05-stem-ecology-source-passport-t\">Ecology and biodiversity science in Biodiversity Nexus: from a source to a labelled evidence record<\/title><desc id=\"nx-dag-g05-stem-ecology-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. 01<\/strong><span>Nodes carry their type, metrics and state; connectors show what feeds what; the gates are the validation steps; the timeline is one application. Design of the method's use, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-data\" 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\">Data<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What the method consumes.<\/h2><p class=\"nx-lede\">Datasets and records used by ecology and biodiversity science on this platform, with the role each plays and the label its values carry. Sources are listed in <a class=\"nx-link\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/research\/sources\/\">the source register<\/a>.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Data<\/th><th scope=\"col\">Role<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Data\">GBIF and OBIS occurrence records<\/td><td data-label=\"Role\">Distribution modelling and gap analysis<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">IUCN Red List assessments and range maps<\/td><td data-label=\"Role\">Threat status and ranges<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Data\">Standardised monitoring schemes<\/td><td data-label=\"Role\">Population trends<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Environmental DNA sequence data<\/td><td data-label=\"Role\">Species detection<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Long Term Ecological Research site data<\/td><td data-label=\"Role\">Ecosystem processes and change<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"data\" data-nxf-kind=\"data\" data-nxf-resource=\"nexus:\/\/gcri\/G05\/stem\/ecology\/#data\" data-nxf-title=\"Method record\" data-nxf-height=\"520\" hidden><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G05\/stem\/ecology\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-checks\" class=\"nx-section\" data-hue=\"biodiversity\" data-tone=\"alt\" data-variant=\"stack\" 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\">Validation<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Predictions are compared with independent survey data and long-term monitoring sites. Experimental manipulations and natural experiments test causal mechanisms.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Check<\/th><th scope=\"col\">How it is done<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Check\">Independent survey validation<\/td><td data-label=\"How it is done\">Distribution models are tested against survey data not used in fitting, held out in spatially separate blocks<\/td><\/tr><tr><td data-label=\"Check\">Detection and observer effects<\/td><td data-label=\"How it is done\">Occupancy and abundance models account for imperfect detection and changing observer effort<\/td><\/tr><tr><td data-label=\"Check\">Taxonomic verification<\/td><td data-label=\"How it is done\">Identifications are checked against reference collections and a taxonomic backbone before analysis<\/td><\/tr><tr><td data-label=\"Check\">Sampling bias assessment<\/td><td data-label=\"How it is done\">Record density is compared with access and effort so that gaps are not read as absence<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Ecosystems show nonlinear responses and thresholds that are hard to anticipate from past data. Sampling is uneven across regions and taxa.<\/p><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" 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\">Connections<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Topics that rely on this method.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/topics\/ecosystem-integrity\/\"><span>Ecosystem integrity<\/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:\/\/therisk.global\/biodiversity-nexus\/topics\/species-and-genetic-diversity\/\"><span>Species and genetic diversity<\/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:\/\/therisk.global\/biodiversity-nexus\/topics\/forest-and-landscapes\/\"><span>Forests and landscapes<\/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:\/\/therisk.global\/biodiversity-nexus\/topics\/wetlands-and-freshwater\/\"><span>Wetlands and freshwater<\/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:\/\/therisk.global\/biodiversity-nexus\/topics\/coastal-marine-biodiversity\/\"><span>Coastal and marine biodiversity<\/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:\/\/therisk.global\/biodiversity-nexus\/topics\/restoration-and-nature-based-solutions\/\"><span>Restoration and nature-based solutions<\/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:\/\/therisk.global\/biodiversity-nexus\/topics\/ecosystem-services\/\"><span>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:\/\/therisk.global\/biodiversity-nexus\/topics\/nature-data-rights\/\"><span>Nature data and rights<\/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-sec-stewardship\" class=\"nx-section\" data-hue=\"water\" data-tone=\"alt\" 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\">Stewardship<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who maintains the method.<\/h2><p class=\"nx-lede\">Biodiversity Nexus stewards ecology and biodiversity science for the Consortium and reviews how it is applied across platforms.<\/p><\/div><div class=\"nx-section-body\"><p class=\"nx-p\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/ecology\/\">Canonical page: Ecology and biodiversity science<\/a><\/p><\/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\">Connected<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Where this page leads across the Consortium.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/stem\/science\/ecology\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Canonical method page<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Ecology and biodiversity science<\/span><span class=\"nx-dest-why\">Platform application links to the canonical method page.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><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><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-12-sec\" class=\"nx-section\" data-hue=\"climate\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What are the limits of ecology and biodiversity science in this field?<\/summary><div class=\"nx-answer\">Ecosystems show nonlinear responses and thresholds that are hard to anticipate from past data. Sampling is uneven across regions and taxa.<\/div><\/details><details><summary>How are results checked?<\/summary><div class=\"nx-answer\">Predictions are compared with independent survey data and long-term monitoring sites. Experimental manipulations and natural experiments test causal mechanisms.<\/div><\/details><details><summary>Are the values on this page real?<\/summary><div class=\"nx-answer\">The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method's use, not a run; no result is reported here.<\/div><\/details><details><summary>Where else is this method applied?<\/summary><div class=\"nx-answer\">The <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/ecology\/\">canonical method page<\/a> lists every platform that applies it.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-13\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-13\" 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\/stem\/earth-observation\/\">Earth observation for biodiversity <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\/stem\/spatial-statistics\/\">Spatial statistics for biodiversity <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\/stem\/geospatial\/\">Geospatial analysis for biodiversity <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\/stem\/complex-systems\/\">Complex systems in ecology <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\/stem\/causal-inference\/\">Impact evaluation for conservation <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\/stem\/hydrology\/\">Hydrology for ecosystems <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-14\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Biodiversity Nexus<\/span><h2 id=\"nx-close-14\" 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%20Ecology%20and%20biodiversity%20science\">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\/stem\/ecology\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/ecology\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What are the limits of ecology and biodiversity science in this field?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Ecosystems show nonlinear responses and thresholds that are hard to anticipate from past data. Sampling is uneven across regions and taxa.\"}},{\"@type\":\"Question\",\"name\":\"How are results checked?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Predictions are compared with independent survey data and long-term monitoring sites. Experimental manipulations and natural experiments test causal mechanisms.\"}},{\"@type\":\"Question\",\"name\":\"Are the values on this page real?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method's use, not a run; no result is reported here.\"}},{\"@type\":\"Question\",\"name\":\"Where else is this method applied?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The canonical method page lists every platform that applies it.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/ecology\/#terms\",\"name\":\"Key terms: Ecology and biodiversity science\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/ecology\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Species distribution model\",\"description\":\"A model relating species records to environmental variables to predict where a species can occur.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/ecology\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Population viability analysis\",\"description\":\"Estimating a population's risk of decline or extinction over time from its size, trend and variability.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/ecology\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Environmental DNA\",\"description\":\"Genetic material shed by organisms into water, soil or air, sampled to detect species without seeing them.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/ecology\/#terms\"}}]},{\"@type\":\"TechArticle\",\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/ecology\/#article\",\"headline\":\"Ecology and biodiversity science\",\"description\":\"Ecology and biodiversity monitoring: species distribution modelling, population trend and viability analysis, and environmental DNA and acoustic surveys.\",\"inLanguage\":\"en\",\"about\":{\"@type\":\"Thing\",\"name\":\"ecology\"},\"author\":{\"@id\":\"https:\/\/therisk.global\/#organization\"},\"publisher\":{\"@id\":\"https:\/\/therisk.global\/#organization\"},\"mainEntityOfPage\":{\"@id\":\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/ecology\/#webpage\"},\"isAccessibleForFree\":true,\"mentions\":[{\"@type\":\"Thing\",\"name\":\"GBIF and OBIS occurrence records\"},{\"@type\":\"Thing\",\"name\":\"IUCN Red List assessments and range maps\"},{\"@type\":\"Thing\",\"name\":\"Standardised monitoring schemes\"},{\"@type\":\"Thing\",\"name\":\"Environmental DNA sequence data\"},{\"@type\":\"Thing\",\"name\":\"Long Term Ecological Research site data\"}]}]}<\/script>\n\n<!-- nx-rev:6dba78d0b13e057b -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto G05 \u00b7 METHOD \u00b7 ecologyGCRI dossier \u00b7 service level R0 GCRI\u00b7Biodiversity Nexus\u00b7Established Method page \u00b7 Ecology and biodiversity science Ecology and biodiversity science Ecology is the core science of &hellip; <a href=\"https:\/\/therisk.global\/biodiversity-nexus\/stem\/ecology\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Ecology and biodiversity science&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":147,"menu_order":354,"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-163","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/therisk.global\/biodiversity-nexus\/wp-json\/wp\/v2\/pages\/163","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=163"}],"version-history":[{"count":2,"href":"https:\/\/therisk.global\/biodiversity-nexus\/wp-json\/wp\/v2\/pages\/163\/revisions"}],"predecessor-version":[{"id":292,"href":"https:\/\/therisk.global\/biodiversity-nexus\/wp-json\/wp\/v2\/pages\/163\/revisions\/292"}],"up":[{"embeddable":true,"href":"https:\/\/therisk.global\/biodiversity-nexus\/wp-json\/wp\/v2\/pages\/147"}],"wp:attachment":[{"href":"https:\/\/therisk.global\/biodiversity-nexus\/wp-json\/wp\/v2\/media?parent=163"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}