Historical citizen science to understand and predict climate-driven trout decline

Miguel Clavero, Miquel Ninyerola, Virgilio Hermoso, Ana Filipa Filipe, Magda Pla, Daniel Villero, Lluís Brotons, Miguel Delibes

Research output: Contribution to journalArticleResearchpeer-review

12 Citations (Scopus)

Abstract

© 2017 The Author(s) Published by the Royal Society. All rights reserved. Historical species records offer an excellent opportunity to test the predictive ability of range forecasts under climate change, but researchers often consider that historical records are scarce and unreliable, besides the datasets collected by renowned naturalists. Here, we demonstrate the relevance of biodiversity records developed through citizen-science initiatives generated outside the natural sciences academia. We used a Spanish geographical dictionary from the mid-nineteenth century to compile over 10 000 freshwater fish records, including almost 4 000 brown trout (Salmo trutta) citations, and constructed a historical presence-absence dataset covering over 2 000 10 × 10 km cells, which is comparable to present-day data. There has been a clear reduction in trout range in the past 150 years, coinciding with a generalized warming. We show that current trout distribution can be accurately predicted based on historical records and past and present values of three air temperature variables. The models indicate a consistent decline of average suitability of around 25% between 1850s and 2000s, which is expected to surpass 40% by the 2050s. We stress the largely unexplored potential of historical species records from non-academic sources to open new pathways for long-term global change science
Original languageEnglish
Article number20161979
JournalProceedings of the Royal Society B: Biological Sciences
Volume284
Issue number1846
DOIs
Publication statusPublished - 11 Jan 2017

Keywords

  • Citizen science
  • Climate change
  • Distribution forecast
  • Historical ecology
  • Salmo trutta
  • Species distribution models

Fingerprint

Dive into the research topics of 'Historical citizen science to understand and predict climate-driven trout decline'. Together they form a unique fingerprint.

Cite this