Conservation Archive

Conservation Archive compiles historical ecological data, including fossil records and archival sources, to support inference of historical species ranges and abundance for conservation baseline analysis.


Key Features:

  • Historical Ecological Data Repository: Aggregates fossil records and archival data from palaeoecology and historical ecology studies.
  • Baseline Condition Inference: Provides datasets used to estimate historical species distributions and population abundance.
  • IUCN Green List Integration: Supports assessments associated with the International Union for Conservation of Nature (IUCN) Green List of Species.
  • Collaborative Data Contribution: Enables researchers to contribute and access datasets relevant to historical ecological reconstruction.

Scientific Applications:

  • Historical Baseline Reconstruction: Estimates past species ranges and population conditions using palaeoecological and archival evidence.
  • Conservation Status Assessment: Compares current species conditions with historical baselines to evaluate conservation progress.
  • Recovery Target Development: Supports formulation of species recovery targets informed by long-term ecological data.

Methodology:

Conservation Archive curates fossil records and archival ecological datasets from palaeoecology and historical ecology studies to reconstruct historical species ranges and abundance for baseline comparison with current conservation data.

Topics

Details

Tool Type:
web application
Added:
1/14/2020
Last Updated:
1/11/2021

Operations

Publications

Grace M, Akçakaya HR, Bennett E, Hilton-Taylor C, Long B, Milner-Gulland EJ, Young R, Hoffmann M. Using historical and palaeoecological data to inform ambitious species recovery targets. Philosophical Transactions of the Royal Society B: Biological Sciences. 2019;374(1788):20190297. doi:10.1098/rstb.2019.0297. PMID:31679497. PMCID:PMC6863500.

PMID: 31679497
PMCID: PMC6863500
Funding: - Stony Brook University: OVPR Seed Grant Program - Natural Environment Research Council: NE/R002614/1, NE/S006125/1