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Clear out junk files and repair common Windows errorsFree Scan →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Repair Windows errors before they cause bigger problemsFix Now →Map every direct operating site and every known upstream production or sourcing location, then screen those coordinates or boundaries against biodiversity-sensitive areas and broader nature criteria. Use site-level geographic data for places you can locate, sector and commodity tools where supplier detail is incomplete, and supplier engagement to replace assumptions with evidence.
The result is a prioritized investigation list, not proof that a company caused ecological harm. A defensible map records what each location represents, how precise it is, which datasets and dates were used, and what remains unknown.
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What a business-and-supplier biodiversity map should contain
A useful map is a georeferenced inventory joined to evidence about nature sensitivity and the business activity at each location. It should distinguish four kinds of places that are often mistakenly blended together:
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware match- Direct operating sites: factories, offices with material environmental interfaces, warehouses, farms, mines, mills, data centers, ports and other facilities the company owns or controls.
- Supplier facilities: the production, processing or extraction locations operated by a supplier. A supplier headquarters is not a substitute for its factory, farm, mine or mill.
- Raw-material origins: farms, forests, fisheries, mines or other source areas where commodities enter the chain. These may be polygons or regions rather than a single address.
- Sector or sourcing-region proxies: places inferred from a commodity, industry or country when a precise supplier location is unavailable. These are leads for investigation, not facility-level observations.
Keep those categories separate in the database and in published reporting. Otherwise, a country-level estimate can be misread as a confirmed supplier site, or a corporate office can be mistaken for the location where environmental pressure occurs.
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“Biodiversity hotspot” is a shorthand, not one universal test
Protected areas and Key Biodiversity Areas (KBAs) are important signals, but their absence does not demonstrate low biodiversity importance or low nature risk. The criteria you use should match the decision you are making: procurement due diligence may need commodity-specific habitat and water information, while a TNFD assessment requires a broader sensitive-location lens.
The TNFD Locate tools page defines sensitive locations as: “Areas important for biodiversity, including species and/or Areas of high ecosystem integrity and/or Areas of rapid decline in ecosystem integrity and/or Areas of high physical water risks and/or Areas of importance for ecosystem service provision, including benefits to Indigenous Peoples, Local Communities and stakeholders.” This means a screen limited to protected-area boundaries is narrower than a TNFD sensitive-location assessment. Add layers or methods for ecosystem integrity, rapid decline, physical water risk and ecosystem-service importance when those criteria are relevant.
Step 1: Set the boundary and the decision before collecting coordinates
Write a short scope statement that a second analyst could apply consistently. Specify:
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- The countries and operating regions covered.
- Which commodities, products and services are material.
- How many supplier tiers are in scope and whether raw-material origins are included.
- Whether downstream distributors, customers or end-of-life activities are assessed separately.
- The decision the map must support: risk triage, site selection, procurement review, target setting, financing, insurance or disclosure.
Start with direct operations and material upstream activities. Explain any downstream boundary separately rather than implying that an upstream screen covers the entire value chain. A map built for a site-acquisition decision may require parcel-level precision; a first procurement screen may begin with country and commodity information, provided the uncertainty is labeled.
Step 2: Build a georeferenced inventory of direct operations
Assign a stable site ID that will not change when a name, owner or address changes. For every site, capture the fields below. Record the source and date of each location rather than silently overwriting older values.
| Field | What to record | Why it matters |
|---|---|---|
| Site identity | Stable ID, site name, legal entity and operational status | Prevents duplicate sites and keeps closed or planned facilities distinguishable. |
| Geometry | Latitude/longitude and, where available, a boundary polygon or footprint | A point may fall outside a protected area even when the facility boundary overlaps it. |
| Precision | Exact facility, parcel, approximate locality, administrative region or country | Shows how far a screening result can be trusted. |
| Activity | Manufacturing, extraction, farming, storage, office, transport or another activity | Links a location to likely pressures and dependencies. |
| Source and date | Internal register, supplier submission, permit, public record or geocoder, with retrieval date | Supports auditability and later updates. |
| Screening status | Datasets checked, buffer or overlap rule, result and reviewer | Prevents a map symbol from being mistaken for a completed assessment. |
Normalize coordinate reference systems and check for swapped latitude and longitude, geocoding errors, duplicate points and sites plotted in the wrong country. Retain the original address and geometry alongside the standardized version so corrections are traceable. If a site is represented by a centroid, say so; a centroid is not the same as the operational boundary.
Step 3: Add suppliers, source areas and confidence levels
For each supplier relationship, link the supplier to a product or service and to the best available place where that activity occurs. Capture supplier tier, commodity, source country or region, production or extraction site, processing mill, and whether the location is reported directly or inferred.
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Keep headquarters, production facilities and raw-material origins in separate records. A tier-one supplier may disclose its plant but not the farm, forest or mine feeding it. Conversely, a commodity may be traceable to a country without identifying a particular processor. Store multiple locations when a supplier uses several plants or sourcing areas rather than forcing one representative point.
Use an explicit confidence scale, for example:
- High: a supplier or authoritative record provides a verified facility coordinate or boundary.
- Medium: the location is narrowed to a named production area or administrative region, but the facility or polygon is not confirmed.
- Low: only a country, broad sourcing region, sector or spend category is known.
The scale is an internal data-quality aid, not a biodiversity-risk score. A high-confidence point can still be environmentally sensitive, and a low-confidence record can conceal a serious exposure.
Step 4: Screen locations with complementary tools
No single tool answers every question. Use geographic biodiversity data for site screening, sector and activity data for dependency and impact clues, and portfolio-oriented tools to prioritize where evidence is thin.
| Tool or resource | Useful role | Important limitation |
|---|---|---|
| IBAT | Site and multi-site screening using protected-area, KBA and IUCN Red List-derived information; biodiversity reports and GIS access. | A rapid map is not a complete biodiversity risk assessment. Its disclosure explanation says the current sensitive-site assessment focuses on biodiversity-importance criteria, so other TNFD criteria require separate work. |
| ENCORE | Screening dependencies and impacts associated with sectors and activities, including upstream value-chain contexts. | Sector screening is not a supplier-coordinate database and does not measure impact at a particular facility. |
| WWF Biodiversity Risk Filter | Corporate and portfolio-level prioritization across value-chain stages and regions. | Confirm the current scope and outputs in WWF documentation before describing particular features or thresholds. |
| Supplier disclosures and engagement | Improves facility, sourcing-area and tier-level information and validates inferred locations. | Completeness depends on supplier coverage, traceability and willingness to share data. |
Compare tools on geographic resolution, value-chain coverage, biodiversity and broader nature criteria, dataset vintage, buffer options, supplier-location capability, portfolio or GIS handling, method transparency and whether an output is a screen or an assessment. The available evidence does not establish a current like-for-like price or accuracy ranking, so do not present one tool as universally superior.
Step 5: Run the geographic screen correctly
- Prepare the location layer. Load verified points and polygons into a consistent coordinate system. Keep low-confidence records in a separate layer or mark them visibly.
- Choose the relevant datasets. At minimum, consider protected areas, KBAs and threatened-species information. For a broader sensitive-location assessment, add ecosystem-integrity, rapid-decline, physical-water-risk and ecosystem-service layers where suitable data exists.
- Define the spatial rule. State whether a flag means direct overlap, a fixed distance from a boundary, an activity-specific buffer or another threshold. The same site can receive different results under different rules.
- Run the join or overlay. Record every dataset version or publication date, the screen date, the geometry used and the resulting feature IDs. Do not discard a “no match” result; it is evidence of what was checked, not proof that nature risk is absent.
- Review edge cases. Inspect points near borders, coastal facilities, large polygons, migratory species ranges and sites whose coordinate precision is coarser than the chosen buffer.
IBAT’s integrated map is described as a rapid visual screen using major global datasets and IUCN-derived STAR and rarity-weighted layers. Treat those outputs as a starting point for investigation. A screen can reveal that a site is near a KBA; it cannot by itself establish the company’s pressure, the condition of the ecosystem or a legal breach.
Step 6: Add sector and commodity evidence when supplier locations are missing
Location gaps are normal beyond tier one. Use ENCORE to identify sectors whose activities may depend on or affect nature, and use commodity and sourcing-region information to focus requests on the suppliers most likely to matter. A portfolio-level filter can help rank countries, sectors or value-chain stages for follow-up.
Do not convert a spend-based or sector-based screen into a precise facility map. Label the result as an interim lead, retain the assumptions, and connect it to a supplier request. For example, “cotton sourcing in region X” can justify asking for farm or gin locations; it cannot justify plotting every tier-two supplier at a single regional centroid.
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Step 7: Prioritize flags for deeper assessment
Rank locations using both sensitivity and business relevance. Keep the reasons for each ranking in a reviewable record.
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|---|---|
| Nature sensitivity | Does the location overlap or approach a protected area, KBA, threatened-species range, high-integrity ecosystem, rapidly declining ecosystem, high physical water-risk area or ecosystem-service area? |
| Activity pressure | What does the business or supplier do there: clear land, extract water, discharge, alter habitat, introduce pollution, harvest biological resources or build infrastructure? |
| Dependency | Does the activity rely on water regulation, soil quality, pollination, flood control, biomass, coastal protection or another ecosystem service? |
| Scale and duration | What is the facility’s footprint, production volume, seasonality and expected operating life? |
| Evidence quality | Is the coordinate verified, approximate or inferred? Are the dataset and activity current? |
| Rights and stakeholders | Could Indigenous Peoples, Local Communities or other affected stakeholders experience changes in ecosystem services or access? |
A proximity, overlap or screening score is a reason to investigate, not an established adverse impact. TNFD treats sensitive locations as one dimension of locating interfaces with nature; evaluating dependencies and impacts and assessing risks and opportunities are separate steps.
Step 8: Validate with suppliers and local knowledge
Send focused requests tied to a supplier, commodity and location rather than a generic biodiversity questionnaire. Ask for:
- Coordinates or boundary files for production, processing and extraction facilities.
- The sourcing area for each relevant raw material, including whether it is a farm, forest, fishery, mine or regional aggregation.
- Supplier tier and the upstream entities that control the source.
- Traceability documents, permits, certifications and dates of the location evidence.
- Existing biodiversity, water, land-use and restoration controls.
- Known protected-area, KBA, habitat, water-risk or ecosystem-service constraints.
- Contact details for a person able to correct the map and explain local conditions.
For high-priority records, verify the coordinates against permits, satellite imagery, facility records or qualified local experts. Engage affected Indigenous Peoples, Local Communities and other stakeholders where appropriate, using processes suited to local rights and context. Record what was confirmed, what was inferred and what the supplier could not provide. A refusal or inability to disclose is a data gap to manage, not evidence that no risk exists.
How the TNFD LEAP workflow fits the map
Current TNFD guidance identifies LEAP v2.0, published in October 2026, as four connected phases:
- Locate: identify where the organisation and its value chain interface with nature, including sensitive locations.
- Evaluate: examine dependencies and impacts associated with activities in those places.
- Assess: determine nature-related risks and opportunities, considering severity, likelihood and affected stakeholders.
- Prepare: develop responses, governance, targets, metrics and reporting.
Use the location inventory and screening log as inputs to Locate. Do not claim that exporting a map completes LEAP or automatically meets a disclosure obligation. The methodology, evidence, judgments and responses still need to be documented.
Worked example: turning a broad supply-chain signal into an investigation
A TNFD, FairSupply and IBAT case study followed operational and supply-chain interfaces into supporting industry supply chains. It identified a plant-based fibre sector signal across nine biodiversity-rich countries, including Brazil, Indonesia and Tanzania. That figure describes the case study’s scope; it is not a general estimate of exposure for every fibre buyer.
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The example illustrates a staged approach. The initial sector and country signal directed attention to the fibre chain. The action plan then called for supplier engagement to understand timber-sourcing practices and biodiversity-risk management, followed by requests for upstream supplier locations and mitigation information for high-risk sectors such as textiles. The transferable lesson is to move from a broad proxy to named facilities and source areas, then test the activity and controls at each priority location.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Interpreting results without overstating certainty
Publish a methods note with every internal or external map. State the inventory cutoff date, geographic coverage, coordinate precision, supplier tiers, datasets and versions, overlap or buffer rules, treatment of missing data and validation status.
Use language that matches the evidence:
- “The facility overlaps a mapped KBA” describes a spatial result.
- “The supplier reports sourcing from region Y; the farm locations are unverified” describes an uncertainty.
- “The activity may create a material water dependency” is a hypothesis requiring evaluation.
- “The company caused biodiversity loss” requires evidence beyond a screening flag and should not be inferred from proximity.
Explain that biodiversity layers have different dates, resolutions and geographic coverage. A site outside the mapped layers may still be important, and a site inside a sensitive area may have low, moderate or high actual pressure depending on its activity and management.
Common failure modes and fixes
Plotting headquarters instead of operating locations
Fix: require a facility, farm, mine, mill or source-area record for each material activity and retain headquarters only as an administrative contact.
Treating protected-area proximity as proof of impact
Fix: investigate the activity, pressure pathway, ecological condition, water context and stakeholder implications before assigning an impact conclusion.
Using one biodiversity layer for every decision
Fix: combine biodiversity-importance data with ecosystem integrity, decline, water-risk and ecosystem-service criteria when the decision calls for the broader TNFD framing.
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Hiding missing tier-two and tier-three data
Fix: publish confidence levels, use sector and commodity proxies only as interim leads, and track supplier requests and response dates.
Mixing screening and assessment outputs
Fix: label each field and report as inventory, screen, evaluation, risk assessment or response. Keep the underlying evidence and reviewer separate from the final priority rating.
Letting old guidance remain silently current
Fix: identify the TNFD LEAP version used. The current guidance page shows v2.0 published in October 2026; archived versions should be described as historical.
Keeping the map useful after the first exercise
Assign an owner for each data class: operations, procurement, sustainability, geographic information and supplier engagement. Set update triggers rather than relying only on an annual refresh. A new facility, supplier, commodity, land-use change, permit, merger, sourcing region or material dataset update should reopen the relevant record.
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Version the inventory and screening outputs so a change in a flag can be traced to a changed location, dataset, buffer or activity—not merely to a changed color on a dashboard. Preserve rejected coordinates and closed facilities with status dates. For each high-priority location, maintain an action record covering owner, supplier response, local consultation, mitigation, monitoring indicator and next review date.
Use the findings in procurement decisions, supplier improvement plans, site planning, mitigation, restoration, monitoring and disclosures. A map is most valuable when it changes what the organisation asks, buys, builds or monitors.
Which tool stack should a company use?
Choose the smallest combination that matches the decision:
- Known facility locations and biodiversity screening: begin with a georeferenced inventory and IBAT-style site screening, then investigate flagged sites.
- Many unknown upstream locations: add ENCORE sector and activity screening, commodity and sourcing-region analysis, and structured supplier requests.
- Portfolio or enterprise prioritization: use a portfolio-oriented biodiversity risk filter to rank regions and value-chain stages, then validate priority locations with facility evidence.
- TNFD-oriented work: extend biodiversity-only screening with the other sensitive-location criteria and carry the results through Evaluate, Assess and Prepare.
Confirm current access terms, report functionality, data licensing and API conditions with each provider. Tool availability and commercial arrangements can change; they do not alter the need for transparent assumptions and supplier validation.
What a defensible final output looks like
Deliver a versioned location register, a map or GIS layer, a screening-results table, a confidence and gap log, supplier engagement records, a prioritized investigation queue and a methods note. Each flagged record should let a reviewer answer five questions: What place is this? What activity occurs there? Which nature criteria triggered attention? How strong is the evidence? What happens next?
That combination turns “suppliers near biodiversity hotspots” from a vague map request into a repeatable management process. It identifies where the business interfaces with nature, makes uncertainty visible, and creates a clear path from geographic screening to evaluation, action and reporting.
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