Data Integration for Large-Scale Models of Species Distributions.

By Nick J B Isaac, M. Jarzyna, P. Keil, Lea I. Dambly, Philipp H. Boersch-Supan, Ella Browning, S. Freeman, N. Golding, G. Guillera‐Arroita, P. Henrys and 7 more. Trends in Ecology & Evolution, 2020

354 citations recorded by the source corpus.

With the expansion in the quantity and types of biodiversity data being collected, there is a need to find ways to combine these different sources to provide cohesive summaries of species' potential and realized distributions in space and time. Recently, model-based data integration has emerged as a means to achieve this by combining datasets in ways that retain the strengths of each. We describe a flexible approach to data integration using point process models, which provide a convenient way to translate across ecological currencies. We highlight recent examples of large-scale ecological models based on data integration and outline the conceptual and technical challenges and opportunities that arise.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/5c18f8c6dcaa46e91210f91e5d1ea77fb60122f6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. Petr Pyšek
2. D. Richardson
3. Jan Pergl
4. P. Hulme
5. S. Bacher
6. John R. U. Wilson
7. Jane A. Catford
8. I. Kühn

In Ecology

1. Petr Pyšek
2. D. Richardson
3. John R. U. Wilson
4. Jan Pergl
5. P. Hulme
6. S. Bacher
7. I. Kühn
8. T. Blackburn

In Nature and Landscape Conservation

1. Petr Pyšek
2. D. Richardson
3. Jan Pergl
4. John R. U. Wilson
5. P. Hulme
6. I. Kühn
7. Jane A. Catford
8. S. Bacher

Citations in the corpus

• MAcroecological Framework for Invasive Aliens (MAFIA): disentangling large-scale context dependence in biological invasions (2020, methodology): “incorporating a model component accounting for imperfect detection or knowledge of introduction processes, but the field of model-based data integration is quite new and evolving (Isaac et al. 2020).”