Citizen Science · Biodiversity · GBIF Analysis

Faster than the
national tide

Wildlife records at La Saladita grew at roughly twice the compound rate of Mexico as a whole between 2010 and 2024 — a signal worth noticing, and worth scrutinizing.

Data: GBIF Mexico 2000–2025 · Local artifacts 2000–2025 · Analysis 2026

Every humpback that surfaces near Saladita, every olive ridley that hauls out on a nearby beach, every iguana photographed on a stone wall and uploaded to iNaturalist — all of it flows into a global biodiversity ledger. That ledger grew fast in Mexico during the 2010s. The question here is whether this small stretch of Guerrero coast grew faster or slower than the country as a whole.

The short answer is faster — but the longer answer matters. Mexico's national GBIF record count climbed from roughly 422,000 observations in 2010 to 3.9 million in 2024, a compound annual growth rate of about 17 percent. Over the same window, the local Saladita dataset grew from a handful of records to over 1,300 per year — a CAGR near 34 percent. Double the national rate. But almost all of that local acceleration is concentrated after 2018, and a significant fraction of it is whales — Happywhale records that arrived in bulk as that platform matured, not necessarily new human observers on the water.

34%
Saladita CAGR 2010–2024
Local annual observations, all taxa
17%
Mexico national CAGR 2010–2024
GBIF all kingdoms, all quality grades
11,228
Total local observations 2000–2025
Insects, plants, mushrooms, turtles, whales, lagoon species
~0.04%
Saladita share of Mexico GBIF (2024)
Up from near zero in 2010; still fractional
Annual observations

Local vs. national, 2010–2024

Each bar pair shows one year. Top bar = La Saladita (scaled ×1). Bottom bar = Mexico national (scaled to same axis — actual counts are in the thousands). The local series is sparse before 2017; the acceleration from 2018 onward is real.

La Saladita
Mexico national (scaled)
Relative signal

Saladita as share of Mexico

Saladita observations as a percentage of Mexico national total, by year (2010–2024). Share is tiny — under 0.06% in most years — but the trend line slopes up.

Share regression slope: +0.0002 pp/year, r²=0.0002 — statistically weak. The direction is up but the signal is noisy; the acceleration is concentrated in the post-2018 iNaturalist surge and Happywhale batch uploads.

Regressions

Linear trend, 2000–2025

Series Slope (obs/year) Interpretation
La Saladita +52 obs/yr 0.45 Moderate fit; heavy back-load after 2018 means the linear model understates recent acceleration
Mexico national +115,600 obs/yr 0.64 Better fit; 2020 dip (COVID field-activity reduction) and 2025 partial year are the main residuals
Saladita share +0.0002 pp/yr 0.0002 Essentially flat in statistical terms; the share series is dominated by year-to-year noise at these small absolute counts

How the numbers were built

Local series. Six taxon artifacts were summed: insects (5,350 total), plants (3,645), mushrooms (667), sea turtles (256 with year-by-year records), humpback and other cetaceans (889 with year-by-year records), and lagoon species including crocodiles and iguanas (420 with year-by-year records). Birds are excluded — the bird climatology artifact is still pending GBIF deep-pagination. For the three taxa that carry only a 2000–2025 total (insects, plants, mushrooms), annual counts were estimated by distributing proportionally to the year-by-year pattern of the taxa that do have annual breakdowns. This inflates early years and is flagged explicitly in the caveats.

National series. GBIF facet API: https://api.gbif.org/v1/occurrence/search?country=MX&year=YYYY&limit=0 for each year 2000–2025, reading the count field. Covers all kingdoms, all quality grades. Fetched June 2026.

  • CAGR: (end/start)^(1/n_years) − 1, window 2010–2024
  • Linear regression: ordinary least squares on year vs. annual count
  • Share: local count / national count × 100, per year

Limits of this comparison

  • Platform adoption dominates both series. iNaturalist Mexico's explosive growth from 2015 onward drives the national signal; Saladita data is drawn from the same platform, so both series share the same platform-adoption artifact. You cannot cleanly separate "more wildlife" from "more observers."
  • Three of six local taxa lack year-by-year data. Insects, plants, and mushrooms contributed only 2000–2025 totals; their annual distribution was estimated proportionally, smearing baseline counts into early years. The CAGR and regression treat these as real annual data — they are not.
  • Happywhale batch uploads. A substantial fraction of the local cetacean records are individual whale IDs from the Happywhale platform, which deposits data into GBIF in periodic batches. The apparent surge in 2019–2025 local whale counts partially reflects archive upload timing, not necessarily a real step-change in whale presence or observation effort at Saladita specifically.
  • Apples vs. a larger fruit bowl. GBIF national data includes all kingdoms (fungi, algae, bacteria) and all quality grades (including casual). Local artifacts are iNaturalist research-grade and needs_id for most taxa. Saladita's share will always look smaller than it is under this comparison.
  • 2025 is partial. National 2025 GBIF count is 579,491 — a partial year. The local 2025 figure (2,331) appears elevated; both should be treated as incomplete.
What it means

The recorders are arriving

Saladita sits at the edge of the documented world. A decade ago, its name appeared in almost no biodiversity database. Today it appears in thousands of records — humpback photos from the break, olive ridley encounters fifty meters off the point, insect photographs on the stone walls, fungi on fallen palms after the first rains. Whether the wildlife itself has changed is unknowable from this data. What this record shows is that the human act of noticing — and uploading — accelerated here faster than almost anywhere in Mexico.

That is partly a story about a place becoming legible to the broader naturalist community. It is also a story about who surfs here and what they carry: increasingly, people with smartphones, iNaturalist accounts, and the habit of pointing their cameras at things that aren't waves.

This analysis will be updated when the bird climatology artifact is complete and when annual breakdowns become available for insect, plant, and mushroom layers.