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\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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-ndd1nemo.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-scene nx-es-scene\" data-scene=\"text\" data-ground=\"none\" data-es-org=\"gcri\" aria-labelledby=\"nx-scene-title\"><div class=\"nx-scene-intro nx-es-intro\"><p class=\"nx-eyebrow\"><abbr title=\"The Global Centre for Risk and Innovation\">GCRI<\/abbr> \u00b7 Biodiversity Nexus<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Impact evaluation for conservation<\/h1><p class=\"nx-scene-lede\">Conservation and restoration spend public and private money on the expectation that interventions work. Causal inference tests that expectation, estimating what protected areas, payments, restoration and policy changes achieved compared with what would have happened without them. Without that comparison, background trends are easily mistaken for success.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/write-to-us\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><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><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"biodiversity\" data-tone=\"alt\" aria-labelledby=\"nx-s-1\"><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\">Register<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">Impact evaluation for conservation on the record.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"console\"><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\">STEM method<\/span><\/div><ol class=\"nx-register-rows\"><li><div><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Causal inference and impact evaluation<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Steward<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/economic-development\/\">Economic Development<\/a><\/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\">4 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\/mathematics\/causal-inference\/\">STEM Commons<\/a><\/span><\/div><\/li><\/ol><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-application\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" 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\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Application<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">What causal inference and impact evaluation does here.<\/h2><p class=\"nx-lede\">Causal inference and impact evaluation develop methods to determine whether and how interventions or exposures cause outcomes. They separate genuine effects from correlation. In biodiversity and nature, climate and hazards and oceans and coasts, causal inference shows which <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 risk-reduction\" data-tk=\"Nexus risk vocabulary\" data-td=\"Preventing new risk, reducing existing risk and managing residual risk, all contributing to resilience.\" data-ts=\"NRS-C1\" data-tr=\"draft\">risk reduction<\/a> measures actually work. It supports allocating resources toward interventions with demonstrated effect across connected risks. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/causal-inference\/\">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\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><circle cx=\"12\" cy=\"12\" r=\"6\"\/><circle cx=\"12\" cy=\"12\" r=\"2\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Protected area effectiveness<\/h3><p class=\"nx-p nx-mt-1\">Protected sites are matched to unprotected sites with similar slope, remoteness and pressure, and differences in forest loss or species trends are estimated with sensitivity to hidden bias.<\/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\"><circle cx=\"12\" cy=\"12\" r=\"3\"\/><circle cx=\"19\" cy=\"5\" r=\"2\"\/><circle cx=\"5\" cy=\"19\" r=\"2\"\/><path d=\"M10.4 21.9a10 10 0 0 0 9.941-15.416\"\/><path d=\"M13.5 2.1a10 10 0 0 0-9.841 15.416\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Restoration and payment programme evaluation<\/h3><p class=\"nx-p nx-mt-1\">Difference-in-differences and synthetic control designs compare enrolled land with comparable land outside a programme, before and after it starts.<\/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=\"m16 16 3-8 3 8c-.87.65-1.92 1-3 1s-2.13-.35-3-1Z\"\/><path d=\"m2 16 3-8 3 8c-.87.65-1.92 1-3 1s-2.13-.35-3-1Z\"\/><path d=\"M7 21h10\"\/><path d=\"M12 3v18\"\/><path d=\"M3 7h2c2 0 5-1 7-2 2 1 5 2 7 2h2\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Policy and supply-chain commitments<\/h3><p class=\"nx-p nx-mt-1\">Staggered adoption of moratoria, regulations or zero-deforestation commitments is used to estimate effects on clearing and on displacement of clearing to other areas.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-sec-audience\" class=\"nx-section\" data-hue=\"water\" aria-labelledby=\"nx-s-3\"><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\">Methods and evidence<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">How impact evaluation for conservation is modelled, measured and tested.<\/h2><p class=\"nx-lede\">The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-au\" data-au-voice=\"science\" data-au-n=\"1\"><figure class=\"nx-au-c\" data-au-fig=\"eo-chain\"><h3 class=\"nx-h4\">Earth observation chain<\/h3><p class=\"nx-p nx-au-what\">How a satellite or sensor record becomes evidence on impact evaluation for conservation, and where each step adds uncertainty.<\/p><ol class=\"nx-au-chain\"><li><span class=\"nx-au-k\">01 \u00b7 Acquire<\/span><span>orbit, sensor and revisit<\/span><span class=\"nx-au-n\">Uncertainty: gaps from cloud and orbit<\/span><\/li><li><span class=\"nx-au-k\">02 \u00b7 Calibrate<\/span><span>radiometric and geometric<\/span><span class=\"nx-au-n\">Uncertainty: sensor drift<\/span><\/li><li><span class=\"nx-au-k\">03 \u00b7 Correct<\/span><span>atmosphere and terrain<\/span><span class=\"nx-au-n\">Uncertainty: aerosol and slope assumptions<\/span><\/li><li><span class=\"nx-au-k\">04 \u00b7 Retrieve or classify<\/span><span>the variable or the class<\/span><span class=\"nx-au-n\">Uncertainty: model and training error<\/span><\/li><li><span class=\"nx-au-k\">05 \u00b7 Validate<\/span><span>against ground truth<\/span><span class=\"nx-au-n\">Uncertainty: sample design and size<\/span><\/li><li><span class=\"nx-au-k\">06 \u00b7 Publish<\/span><span>with error bars and lineage<\/span><span class=\"nx-au-n\">Uncertainty: stated, never hidden<\/span><\/li><\/ol><figcaption class=\"nx-caption\"><span>Processing chain in the CEOS Analysis Ready Data sense; each step records its uncertainty before a figure is drawn. A generic structure, not results.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-chips nx-au-fw\" aria-label=\"Frameworks cited\"><span class=\"nx-chip\">FAIR guiding principles \u00b7 GO FAIR and FORCE11<\/span><span class=\"nx-chip\">W3C PROV \u00b7 World Wide Web Consortium<\/span><span class=\"nx-chip\">Guidance on consistent treatment of uncertainties \u00b7 IPCC<\/span><span class=\"nx-chip\">CEOS Analysis Ready Data \u00b7 Committee on Earth Observation Satellites<\/span><\/div><\/div><\/div><\/section><section id=\"nx-sec-data\" class=\"nx-section\" data-hue=\"biodiversity\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-4\"><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\">Data<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">What the method consumes.<\/h2><p class=\"nx-lede\">Datasets and records used by causal inference and impact evaluation 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\">Global Forest Change and national land-cover series<\/td><td data-label=\"Role\">Outcome measures<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Protected Planet boundaries and designation dates<\/td><td data-label=\"Role\">Treatment timing and extent<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Programme enrolment records<\/td><td data-label=\"Role\">Treatment assignment<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Terrain, access and land-use covariates<\/td><td data-label=\"Role\">Matching and adjustment<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/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\/causal-inference\/#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\/causal-inference\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-s-5-sec\" class=\"nx-section\" data-hue=\"climate\" aria-labelledby=\"nx-s-5\"><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\">Process<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">How the process runs.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-pe\" id=\"nx-pe-prisma\" data-nx-pe=\"nx-pe-prisma\" data-active=\"prisma\"><div class=\"nx-pe-shell\"><p class=\"nx-pe-eb\">Process<\/p><h2 class=\"nx-pe-title\">Impact evaluation for conservation: PRISMA 2020 review reporting<\/h2><p class=\"nx-pe-cap\">PRISMA 2020 is a reporting guideline for systematic reviews; the steps follow its checklist, not a mandated sequence, and no Nexus document adopts it.<\/p><ol class=\"nx-pe-steps\"><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">01 Plan<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">01<\/span><span class=\"nx-pe-st\">Registration and protocol<\/span><span class=\"nx-pe-k\">Record \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for registration details, access to the protocol and any amendments.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">02<\/span><span class=\"nx-pe-st\">Eligibility criteria<\/span><span class=\"nx-pe-k\">Record \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the inclusion and exclusion criteria and how studies were grouped.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">02 Find and select<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">03<\/span><span class=\"nx-pe-st\">Search: sources and strategies<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the information sources and the full search strategies. It does not fix which sources are used.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">04<\/span><span class=\"nx-pe-st\">Selection of studies<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks how studies were judged eligible, including how many reviewers screened. It does not fix the number of reviewers.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">05<\/span><span class=\"nx-pe-st\">Flow diagram<\/span><span class=\"nx-pe-k\">Record<\/span><span class=\"nx-pe-sm\">The flow diagram shows the number of records found, the number of studies included and the reasons for exclusion.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">03 Analyse<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">06<\/span><span class=\"nx-pe-st\">Data collection<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks how data were collected from reports and which data items were sought.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">07<\/span><span class=\"nx-pe-st\">Risk of bias<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the methods and tools used to assess risk of bias.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">08<\/span><span class=\"nx-pe-st\">Synthesis<\/span><span class=\"nx-pe-k\">Model \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the effect measures and the synthesis methods. It does not prescribe meta-analysis.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">09<\/span><span class=\"nx-pe-st\">Certainty of evidence<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the methods used to assess certainty, and reports the result per outcome. It does not name a grading scale.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">04 Report<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">10<\/span><span class=\"nx-pe-st\">Review report<\/span><span class=\"nx-pe-k\">Record<\/span><span class=\"nx-pe-sm\">The guideline helps authors report why the review was done, what they did and what they found.<\/span><\/li><\/ol><\/li><\/ol><p class=\"nx-pe-foot\"><span><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports\" rel=\"noopener\">Reports<\/a><\/span><span>Outline of an externally published reporting guideline, not a Nexus process and not a record of operation. PRISMA 2020 mainly covers reviews of intervention effects. No Nexus page names it. Every programme is at service level R0.<\/span><\/p><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-checks\" class=\"nx-section\" data-hue=\"water\" 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\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Validation<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Identification assumptions are probed through placebo tests, falsification checks and <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 sensitivity-analysis\" data-tk=\"Nexus risk vocabulary\" data-td=\"Testing how much a model's outputs change when inputs or assumptions change, to identify which drive results.\" data-ts=\"NRS-C1\" data-tr=\"draft\">sensitivity analysis<\/a>. Replication across settings tests external validity.<\/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\">Covariate balance<\/td><td data-label=\"How it is done\">Treated and comparison units are compared on observed characteristics before effects are estimated<\/td><\/tr><tr><td data-label=\"Check\">Placebo and pre-trend tests<\/td><td data-label=\"How it is done\">Effects are tested in periods and places where none should exist<\/td><\/tr><tr><td data-label=\"Check\">Sensitivity to hidden bias<\/td><td data-label=\"How it is done\">Results state how strong an unobserved confounder would need to be to change the conclusion<\/td><\/tr><tr><td data-label=\"Check\">Spillover and leakage<\/td><td data-label=\"How it is done\">Neighbouring areas are examined for displaced pressure<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Unobserved confounding and spillovers can bias estimates. Effects found in one context may not transfer to another.<\/p><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section\" data-hue=\"biodiversity\" 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\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connections<\/span><\/div><h2 id=\"nx-s-7\" 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\/species-and-genetic-diversity\/\"><span>Species and genetic diversity<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><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\"><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\"><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\"><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=\"climate\" 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\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Stewardship<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Who maintains the method.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/economic-development\/\">Economic Development<\/a> stewards causal inference and impact evaluation 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\/mathematics\/causal-inference\/\">Canonical page: Causal inference and impact evaluation<\/a><\/p><\/div><\/div><\/section><section id=\"nx-s-9-sec\" class=\"nx-section\" data-hue=\"water\" aria-labelledby=\"nx-s-9\"><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\">Connected<\/span><\/div><h2 id=\"nx-s-9\" 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\/economic-development\/stem\/causal-inference\/\"><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\">Impact evaluation<\/span><span class=\"nx-dest-why\">Economic Development stewards this method.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-10-sec\" class=\"nx-section\" data-hue=\"biodiversity\" data-tone=\"alt\" aria-labelledby=\"nx-s-10\"><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-10\" 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 causal inference and impact evaluation in this field?<\/summary><div class=\"nx-answer\">Unobserved confounding and spillovers can bias estimates. Effects found in one context may not transfer to another.<\/div><\/details><details><summary>How are results checked?<\/summary><div class=\"nx-answer\">Identification assumptions are probed through placebo tests, falsification checks and sensitivity analysis. Replication across settings tests external validity.<\/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&#8217;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\/mathematics\/causal-inference\/\">canonical method page<\/a> lists every platform that applies it.<\/div><\/details><\/div><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-nr-gateway-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">Reports<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Contribute<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute evidence from this page.<\/h2><p class=\"nx-lede\">Reports is the Consortium&#8217;s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.<\/p><div class=\"nx-chips\"><span class=\"nx-chip\">GCRI<\/span><span class=\"nx-chip\">Biodiversity Nexus<\/span><span class=\"nx-chip\">Global Sector Risk and Resilience<\/span><span class=\"nx-chip\">Observatory Signal<\/span><\/div><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/biodiversity-nexus\/write-to-us\/contact\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Email<\/span><span class=\"nx-dest-host\">Gateway GW-GCRI<\/span><\/span><span class=\"nx-dest-title\">Send it from this page<\/span><span class=\"nx-dest-why\">Evidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/nexus-reports\/open-science\/#nx-sec-zenodo\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Zenodo<\/span><span class=\"nx-dest-host\">Open deposit<\/span><\/span><span class=\"nx-dest-title\">Deposit it and submit to the community<\/span><span class=\"nx-dest-why\">Publish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/nexus-reports\/contribute\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Reports<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">See every way to contribute<\/span><span class=\"nx-dest-why\">The contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><div class=\"nx-live-slot\" data-nxf-slot=\"contribute\" data-nxf-kind=\"workflow\" data-nxf-resource=\"nexus:\/\/gcri\/biodiversity-nexus\/stem\/causal-inference#contribute\" data-nxf-title=\"Contribute evidence\" data-nxf-height=\"480\" hidden><\/div><p class=\"nx-note nx-mt-3\">Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.<\/p><\/div><\/div><\/section><section class=\"nx-section nx-deeper-band\" aria-labelledby=\"nx-deeper--global-biodiversity-nexus-stem-causal-inference-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper--global-biodiversity-nexus-stem-causal-inference-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper--global-biodiversity-nexus-stem-causal-inference-h\">Go deeper<\/h2><ul><li><a href=\"https:\/\/docs.therisk.global\/organization\/model\/scenarios\/storm-surge\" data-ext><span class=\"nx-deeper-k\">Documentation:<\/span> Coastal storm surge<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/earth-environment\/climate-science\/\" data-ext><span class=\"nx-deeper-k\">Academy:<\/span> Climate science, variability and change<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/nexustandards.com\/climate\/climate-risk-standards\/\" data-ext><span class=\"nx-deeper-k\">Standards:<\/span> Climate risk standards<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><\/ul><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-11\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Biodiversity Nexus<\/span><h2 id=\"nx-close-11\" class=\"nx-section-title\">Bring a method, a dataset or a question.<\/h2><p class=\"nx-lede\">Information and enquiries are open today. 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