eScholarship
metadata only
Evaluation of species distribution models by resampling of sites surveyed a century ago by Joseph Grinnell
Species distribution models (SDMs) are commonly applied to predict species’ responses to anticipated global change, but lack of data from future time periods precludes assessment of their reliability. Instead, performance against test data in the same era is assumed to correlate with accuracy in the
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- SAGE: A sampling-aware global evaluation benchmark for species distribution modeling#1105640
- Novel methods to correct for observer and sampling bias in presence‐only species distribution models#1053487
- Using public surveys to rapidly profile biological invasions in hard‐to‐monitor areas#1120351
- The devil’s in the details when using correlative and mechanistic species distribution models to inform multispecies and ecosystem models#350772
- The Impact of Climate Change on the Spatial Distribution of Seven <i>Meconopsis</i> Species in China: A MaxEnt Model-Based Predictive Analysis#311569
Record · ID 1440855
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive