TY - JOUR
KW - point process
KW - integrated distribution model
KW - state-space model
KW - Citizen Science
KW - occupancy model
KW - species distribution model
AU - Isaac Nick J.B.
AU - Jarzyna Marta A.
AU - Keil Petr
AU - Dambly Lea I.
AU - Boersch-Supan Philipp H.
AU - Browning Ella
AU - Freeman Stephen N.
AU - Golding Nick
AU - Guillera-Arroita Gurutzeta
AU - Henrys Peter A.
AU - Jarvis Susan
AU - Lahoz-Monfort José
AU - Pagel Jörn
AU - Pescott Oliver L.
AU - Schmucki Reto
AU - Simmonds Emily G.
AU - O’Hara Robert B.
AB - 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.
BT - Trends in Ecology and Evolution
DA - 01/2020
DO - https://doi.org/10.1016/j.tree.2019.08.006
IS - 1
N2 - 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.
PY - 2020
SN - 0169-5347
SP - 56
EP - 67
EP - 
T2 - Trends in Ecology and Evolution
TI - Data Integration for Large-Scale Models of Species Distributions
UR - https://www.sciencedirect.com/science/article/pii/S0169534719302551
VL - 35
ER -