Countries and Territories by Biodiversity Hotspot Overlap, 2026 Snapshot

How to interpret this overlap table

The highest tier is shaped by geography. Countries that bridge several mountains, forests, coastal plains, islands or drylands can intersect more than one official hotspot region. China and India combine Himalayan and Asian tropical transitions; Mexico and the United States sit across North American, Mesoamerican, Californian and island-linked hotspot systems.

The table becomes less rank-like after the multi-hotspot entries. Many countries and territories intersect exactly one hotspot region, so rows in the one-hotspot tier should not be read as a ranking of ecological value. They are listed to make the compiled reference set visible and searchable.

The best use of this metric is as a screening layer. It helps identify where conservation responsibility is spread across several hotspot systems, then points readers toward deeper evidence: species lists, Key Biodiversity Areas, protected areas, forest loss, habitat intactness and national biodiversity strategies.

Highest overlap tiers

The first ten rows show the leading overlap tiers. Ties are expected because the indicator is a whole-number count of hotspot regions. Countries with the same count should be read as a shared tier, not as a precise sequence of biodiversity quality.

The table compares overlap count only. It does not rank countries by total biodiversity, number of endemic species, habitat condition or conservation performance.

Methodology

The indicator counts unique official terrestrial biodiversity hotspot regions that intersect the land territory of a country or selected territory. It is a presence-and-overlap measure, not an area-weighted biodiversity index.

Country and territory treatment

Sovereign states and selected territories are listed separately when hotspot geography is commonly reported or interpreted at the territory level. Overseas and island territories are not automatically merged into the metropolitan state unless they are treated as integral territory in the table. This prevents mainland Mediterranean overlap, Pacific island overlap and Caribbean island overlap from being mixed without a visible classification rule.

Boundary logic

The reproducible GIS logic is a non-zero land intersection between the official hotspot polygons and a documented country or territory boundary layer. A small overlap and a large overlap both count as one hotspot-region presence, so the metric does not reward area size. Disputed areas and dependent territories should follow the boundary layer used in the overlay and should be documented when a formal GIS rerun is performed.

Processing and rounding

Official hotspot names were reviewed from Conservation International, CEPF and the 2016.1 hotspot boundary reference. Each listed entry was assigned a count based on unique hotspot-region names intersecting the country or territory. No decimal values are used, and no area weighting, species weighting or protected-area weighting is applied.

Limitations

The count does not measure hotspot area within each country, number of species, endemic species, threatened species, marine biodiversity, protected-area management, habitat intactness, restoration need or conservation finance. Formal conservation analysis should repeat the overlay with original GIS polygons, a documented boundary layer and complementary datasets such as Key Biodiversity Areas, IUCN Red List data, protected-area coverage and habitat-loss indicators.

100-entry reference table by hotspot-overlap count

The table groups 100 country and territory entries by hotspot-overlap count. Use the controls to narrow the table by region or search for a country, territory or hotspot name. The one-hotspot tier is not exhaustive, and countries with the same count should be interpreted as sharing the same count tier.

Source snapshot: Conservation International and CEPF biodiversity hotspot framework, supported by the 2016.1 public hotspot boundary reference. Compiled May 24, 2026. The table compares hotspot overlap only and should be read alongside species, habitat and protection indicators.

Patterns in the hotspot-overlap table

Upper tier: ecological crossroads

The highest counts occur where major ecological systems meet. China, India, Mexico and the United States combine mountain, coastal, island, subtropical or temperate systems that belong to separate official hotspot regions. Their position signals geographic complexity, not automatic superiority in species totals or conservation outcomes.

Middle tier: several conservation frontiers

Countries with two or three hotspot overlaps often face more complicated planning tasks. South Africa and Mozambique must address different southern and eastern African hotspot systems. Argentina links Andean, Valdivian and Atlantic Forest priorities. Turkey and the Caucasus states sit between Mediterranean, Caucasus and Irano-Anatolian systems.

One-hotspot tier: importance can be concentrated

Many one-hotspot countries and territories are globally important precisely because their biodiversity is concentrated. Madagascar, New Caledonia, New Zealand, Japan, Sri Lanka, the Philippines and many Caribbean or Pacific islands show why a single hotspot overlap can still represent exceptional endemism and conservation urgency.

What hotspot overlap means for readers

For readers, the indicator helps identify where globally important conservation responsibilities are spread across several ecological systems. A high count suggests that biodiversity policy cannot rely on one habitat type or one protected-area strategy; it must coordinate across mountains, forests, coastal plains, islands or drylands depending on the country.

For businesses and investors, hotspot overlap is a signal for nature-related due diligence. Infrastructure, mining, agriculture, tourism, real estate and energy projects in hotspot regions often face higher ecological sensitivity, stricter permitting expectations and greater reputational risk when habitat loss affects endemic species.

For analysts and policymakers, the count is only a first layer. It should be compared with Key Biodiversity Areas, protected-area coverage, threatened-species data, habitat-loss trends, national biodiversity strategies and local land-use plans before drawing operational conclusions.

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