{"id":165,"date":"2026-10-13T10:54:49","date_gmt":"2026-10-13T10:54:49","guid":{"rendered":"https:\/\/therisk.global\/biodiversity-nexus\/?page_id=165"},"modified":"2026-10-13T15:58:43","modified_gmt":"2026-10-13T15:58:43","slug":"hydrology","status":"publish","type":"page","link":"https:\/\/therisk.global\/biodiversity-nexus\/stem\/hydrology\/","title":{"rendered":"Hydrology for ecosystems"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/biodiversity-nexus\/stem\/hydrology\/ \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\" 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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-nzmv06bh.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-nzmv06bh.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-nzmv06bh.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-nzmv06bh.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-nzmv06bh.nxe :where(ul,ol){padding-left:20px}#nxe-nzmv06bh.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-nzmv06bh.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-nzmv06bh.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-nzmv06bh.nxe svg{display:none}#nxe-nzmv06bh.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-nzmv06bh.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nzmv06bh.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=\"protocol\" 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 hydrology<\/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 Hydrology and water science<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Hydrology for ecosystems<\/h1><p class=\"nx-tagline\">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. It quantifies the water services ecosystems provide and the flows ecosystems themselves need.<\/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-lv-steps\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Protocol<\/strong><\/span><span class=\"nx-eyebrow\">6 steps<\/span><\/div><ol><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-lv-steps-n\">01<\/span><span class=\"nx-lv-steps-t\">In brief<\/span><span class=\"nx-lv-steps-d\">The short answer<\/span><\/a><\/li><li><a href=\"#nx-sec-application\"><span class=\"nx-lv-steps-n\">02<\/span><span class=\"nx-lv-steps-t\">Application<\/span><span class=\"nx-lv-steps-d\">What hydrology and water science does here<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-lv-steps-n\">03<\/span><span class=\"nx-lv-steps-t\">Key terms<\/span><span class=\"nx-lv-steps-d\">Terms used on this page<\/span><\/a><\/li><li><a href=\"#nx-sec-canvas\"><span class=\"nx-lv-steps-n\">04<\/span><span class=\"nx-lv-steps-t\">Canvas<\/span><span class=\"nx-lv-steps-d\">The method as a run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-data\"><span class=\"nx-lv-steps-n\">05<\/span><span class=\"nx-lv-steps-t\">Data<\/span><span class=\"nx-lv-steps-d\">What the method consumes<\/span><\/a><\/li><li><a href=\"#nx-sec-checks\"><span class=\"nx-lv-steps-n\">06<\/span><span class=\"nx-lv-steps-t\">Validation<\/span><span class=\"nx-lv-steps-d\">How results are checked<\/span><\/a><\/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-s-3-sec\"><span>02<\/span>Forecast verification, in outline<\/a><a href=\"#nx-sec-application\"><span>03<\/span>What hydrology and water science\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-field\"><span>05<\/span>Water security in the Mekong Basin<\/a><a href=\"#nx-sec-canvas\"><span>06<\/span>The method as a run graph<\/a><a href=\"#nx-sec-data\"><span>07<\/span>What the method consumes<\/a><a href=\"#nx-sec-checks\"><span>08<\/span>How results are checked<\/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\">Environmental flows are the quantity, timing and quality of water needed to sustain freshwater and estuarine ecosystems and the people who depend on them. Hydrology quantifies them, along with the water services ecosystems provide, from flood storage in wetlands to cleaner water from healthy catchments.<\/p><\/div><\/div><\/section><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\">Console<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Forecast verification, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this method: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-biodiversity-method-forecast\" data-cx=\"biodiversity.method-forecast\" data-variant=\"section\" aria-label=\"Forecast verification: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Forecast verification<\/h3><p class=\"nx-fk-sub\">Biodiversity \u00b7 Hydrology for ecosystems \u00b7 Run R-6654<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Skill above reference<\/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=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Forecast with range<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 210\" width=\"460\" height=\"210\" role=\"img\" aria-label=\"Forecast with range\" focusable=\"false\" tabindex=\"0\" preserveAspectRatio=\"xMidYMid meet\" data-fk-chart=\"cx-biodiversity-method-forecast-c0\" data-fk-xs=\"lin,0,23,36,446\" data-fk-ys=\"lin,0,100,180,20\" data-fk-series=\"Observed|ink|l||0:48.4;1:44.6;2:39.5;3:41.4;4:46.6;5:43;6:46.3;7:48.8;8:50;9:55;10:58.7;11:55.5;12:56.2;13:54.5~Forecast median|acc|l||13:54.5;14:55.6;15:56.7;16:57.8;17:58.9;18:60;19:61.1;20:62.2;21:63.3;22:64.4;23:65.5~80 pct range, upper|s3|l||13:54.5;14:57.800000000000004;15:61.1;16:64.39999999999999;17:67.7;18:71;19:74.3;20:77.60000000000001;21:80.9;22:84.2;23:87.5~80 pct range, lower|s3|l||13:54.5;14:53.6;15:52.7;16:51.8;17:50.9;18:50;19:49.1;20:48.2;21:47.3;22:46.400000000000006;23:45.5\" data-nx-z=\"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\"><\/svg><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"kv\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Method card<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>Method<\/dt><dd>Hydrology and water science<\/dd><\/div><div><dt>Reference<\/dt><dd>climatology<\/dd><\/div><div><dt>Lead times<\/dt><dd>1 to 9 steps<\/dd><\/div><div><dt>Label<\/dt><dd><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>MODELLED<\/span><\/dd><\/div><\/dl><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Verification by lead time<\/h4><p class=\"nx-fk-panel-sub\">held-out period<\/p><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-biodiversity-method-forecast-t2\"><table class=\"nx-fk-table\" data-fk-table=\"cx-biodiversity-method-forecast-t2\" aria-label=\"Verification by lead time\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Lead<\/button><\/th><th scope=\"col\" data-col=\"c1\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">CRPS<\/button><\/th><th scope=\"col\" data-col=\"c2\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Brier score<\/button><\/th><th scope=\"col\" data-col=\"c3\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Skill vs reference<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">State<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-biodiversity-method-forecast:r2-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>T+2<\/td><td data-num=\"true\" data-sv=\"0.21\">0.21<\/td><td data-num=\"true\" data-sv=\"0.14\">0.14<\/td><td data-num=\"true\" data-sv=\"0.22\">0.22<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Skilful<\/span><\/td><\/tr><tr data-fk-key=\"cx-biodiversity-method-forecast:r2-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>T+4<\/td><td data-num=\"true\" data-sv=\"0.21\">0.21<\/td><td data-num=\"true\" data-sv=\"0.19\">0.19<\/td><td data-num=\"true\" data-sv=\"0.38\">0.38<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Skilful<\/span><\/td><\/tr><tr data-fk-key=\"cx-biodiversity-method-forecast:r2-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>T+6<\/td><td data-num=\"true\" data-sv=\"0.36\">0.36<\/td><td data-num=\"true\" data-sv=\"0.25\">0.25<\/td><td data-num=\"true\" data-sv=\"0.19\">0.19<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Skilful<\/span><\/td><\/tr><tr data-fk-key=\"cx-biodiversity-method-forecast:r2-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>T+8<\/td><td data-num=\"true\" data-sv=\"0.2\">0.20<\/td><td data-num=\"true\" data-sv=\"0.2\">0.20<\/td><td data-num=\"true\" data-sv=\"0.18\">0.18<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Skilful<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Forecast verification: the screen's structure, terms and states for Biodiversity.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-application\" 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\">Application<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">What hydrology and water science does here.<\/h2><p class=\"nx-lede\">Hydrology studies the movement, distribution and quality of water across the land surface, subsurface and atmosphere. It underpins the assessment of floods, droughts and water supply, which affect food, energy, health and infrastructure together. In biodiversity and nature, climate and hazards and oceans and coasts, hydrological estimates set design standards for dams, levees and drainage and inform water allocation between competing users. They link climate hazards to downstream effects on power generation, crops and public health. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/hydrology\/\">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=\"M7 16.3c2.2 0 4-1.83 4-4.05 0-1.16-.57-2.26-1.71-3.19S7.29 6.75 7 5.3c-.29 1.45-1.14 2.84-2.29 3.76S3 11.1 3 12.25c0 2.22 1.8 4.05 4 4.05z\"\/><path d=\"M12.56 6.6A10.97 10.97 0 0 0 14 3.02c.5 2.5 2 4.9 4 6.5s3 3.5 3 5.5a6.98 6.98 0 0 1-11.91 4.97\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Environmental flow assessment<\/h3><p class=\"nx-p nx-mt-1\">Flow records and hydraulic models are linked to the habitat needs of fish, vegetation and wetlands to define the flow regime that sustains them.<\/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 12a10.06 10.06 1 0 0-20 0Z\"\/><path d=\"M12 12v8a2 2 0 0 0 4 0\"\/><path d=\"M12 2v1\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Flood regulation by wetlands and forests<\/h3><p class=\"nx-p nx-mt-1\">Rainfall-runoff and routing models are run with and without floodplain storage or forest cover to estimate how ecosystems change flood peaks downstream.<\/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=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Catchment water quality and sediment<\/h3><p class=\"nx-p nx-mt-1\">Sediment and nutrient models trace how land cover and erosion upstream affect water quality at intakes, reservoirs and coastal habitats.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"biodiversity\" data-tone=\"alt\" data-variant=\"stack\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-5\" 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\">Flow regime<\/td><td data-label=\"Definition\">The pattern of a river's flow over time, including magnitude, timing, frequency, duration and rate of change.<\/td><\/tr><tr><td data-label=\"Term\">Flood regulation service<\/td><td data-label=\"Definition\">The reduction of flood peaks by wetlands, floodplains and forests that store or slow water.<\/td><\/tr><tr><td data-label=\"Term\">Sediment retention<\/td><td data-label=\"Definition\">The trapping of eroded soil by vegetation and wetlands before it reaches rivers and reservoirs.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"climate\" 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\">Geography<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Water security in the Mekong Basin.<\/h2><p class=\"nx-lede\">Rivers, lakes and how far each division sits from mapped surface water, shown for the Mekong Basin 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=\"mekong:water\" data-ramp=\"orange\" data-basis=\"case\" data-focus=\"0 0 2000 1400|594 462 1144 1364|516 0 849 1201|911 260 1406 1290|778 321 1279 917\"><figure class=\"nx-fk\" data-fk=\"map-mekong-water\" data-ramp=\"orange\" 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\"><figcaption class=\"nx-fk-cap\"><span>Rivers, lakes and how far each division sits from mapped surface water.<\/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\/hydrology\/#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=\"water\" data-tone=\"alt\" 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\">Canvas<\/span><\/div><h2 id=\"nx-s-7\" 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 Hydrology and water 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-hydrology-flood-ews-t nx-dag-g05-stem-hydrology-flood-ews-d\" data-nx-z=\"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\"><title id=\"nx-dag-g05-stem-hydrology-flood-ews-t\">Hydrology and water science in Biodiversity Nexus: flood forecasting and warning chain<\/title><desc id=\"nx-dag-g05-stem-hydrology-flood-ews-d\">Rainfall forecasts drive a hydrological then a hydraulic model; inundation maps are compared with thresholds; the mandated authority issues the warning, it reaches people through every channel, and action follows. 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=\"biodiversity\" data-variant=\"split\" 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\">Data<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">What the method consumes.<\/h2><p class=\"nx-lede\">Datasets and records used by hydrology and water 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\">Stream gauge records<\/td><td data-label=\"Role\">Flow regime and calibration<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">JRC Global Surface Water<\/td><td data-label=\"Role\">Wetland and floodplain inundation<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">HydroSHEDS river networks<\/td><td data-label=\"Role\">Catchment delineation and connectivity<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Water quality monitoring<\/td><td data-label=\"Role\">Nutrient and sediment loads<\/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\/hydrology\/#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\/hydrology\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-checks\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" data-variant=\"split\" 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\">Validation<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Models are calibrated on one period of observed flows and tested on an independent period or neighbouring catchment. Skill scores and comparison with surveyed flood extents are used to judge performance.<\/p><\/div><div class=\"nx-section-body\"><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\">Split-sample calibration<\/td><td data-label=\"How it is done\">Models are fitted on one period and tested on another, with test-period skill reported<\/td><\/tr><tr><td data-label=\"Check\">Ecological response validation<\/td><td data-label=\"How it is done\">Flow-ecology relationships are checked against field surveys of the species or habitats they claim to support<\/td><\/tr><tr><td data-label=\"Check\">Paired scenario runs<\/td><td data-label=\"How it is done\">With-and-without ecosystem runs use the same forcing so that differences can be attributed<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Assumptions of stationarity weaken as climate and land use change. Ungauged basins, karst aquifers and rapid urbanisation are poorly represented by parameters fitted elsewhere.<\/p><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section\" data-hue=\"water\" 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\">Connections<\/span><\/div><h2 id=\"nx-s-10\" 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\/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\/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><\/ul><\/div><\/div><\/section><section id=\"nx-sec-stewardship\" class=\"nx-section\" data-hue=\"biodiversity\" data-tone=\"alt\" data-variant=\"stack\" 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\">Stewardship<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Who maintains the method.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/water-nexus\/\">Water Nexus<\/a> stewards hydrology and water 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\/hydrology\/\">Canonical page: Hydrology and water science<\/a><\/p><\/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\">Connected<\/span><\/div><h2 id=\"nx-s-12\" 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\/hydrology\/\"><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\">Hydrology and water 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><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/water-nexus\/stem\/hydrology\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Steward platform<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Hydrology for water risk<\/span><span class=\"nx-dest-why\">Water Nexus stewards this method.<\/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-13-sec\" class=\"nx-section\" data-hue=\"water\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-13\" 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 hydrology and water science in this field?<\/summary><div class=\"nx-answer\">Assumptions of stationarity weaken as climate and land use change. Ungauged basins, karst aquifers and rapid urbanisation are poorly represented by parameters fitted elsewhere.<\/div><\/details><details><summary>How are results checked?<\/summary><div class=\"nx-answer\">Models are calibrated on one period of observed flows and tested on an independent period or neighbouring catchment. Skill scores and comparison with surveyed flood extents are used to judge performance.<\/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\/hydrology\/\">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-14\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-14\" 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\/ecology\/\">Ecology and biodiversity science <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\/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\/\">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-15\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Biodiversity Nexus<\/span><h2 id=\"nx-close-15\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. 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