@article{517,
  keywords = {point process, integrated distribution model, state-space model, Citizen Science, occupancy model, species distribution model},
  author = {Isaac Nick J.B. and Jarzyna Marta A. and Keil Petr and Dambly Lea I. and Boersch-Supan Philipp H. and Browning Ella and Freeman Stephen N. and Golding Nick and Guillera-Arroita Gurutzeta and Henrys Peter A. and Jarvis Susan and Lahoz-Monfort José and Pagel Jörn and Pescott Oliver L. and Schmucki Reto and Simmonds Emily G. and O’Hara Robert B.},
  title = {Data Integration for Large-Scale Models of Species Distributions},
  abstract = {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.},
  year = {2020},
  journal = {Trends in Ecology and Evolution},
  volume = {35},
  pages = {56-67, },
  month = {01/2020},
  isbn = {0169-5347},
  url = {https://www.sciencedirect.com/science/article/pii/S0169534719302551},
  doi = {https://doi.org/10.1016/j.tree.2019.08.006},
}