Aim
Determining the spatial‐temporal spread of an invasive plant is vital for understanding long‐term impacts. However, invasions have rarely been directly documented given the resources required and the need for substantial foresight. One method widely used is historical photography interpretation, but this can be hard to verify. We attempt to improve this method by linking historical aerial photos to a paleobotanical analysis of pollen cores.
Location
Laurentian Great Lakes coastal wetlands, United States of America.
Methods
We chose invasive cattail (
Typha) as our model species because it is identifiable from aerial imagery and has persistent, identifiable pollen, and its ecological impacts appear to be time‐dependent. We used Geographic Information Systems, aerial photo‐interpretation and field verification to post‐dict the invasion history of
Typha in several wetland ecosystems. Using 210
Pb and 137
Cs sediment dating and pollen classification, we correlated the temporal dominance of
Typha to our estimates of per cent coverage at one site. The pollen record was then used to estimate the
Typha invasion dynamics for dates earlier than those for which aerial photos were available.
Results
Typha spread through time in all study wetlands. Typha pollen dominance increased through time corresponding with increased spatial dominance. Hybrid cattail,
T. × glauca increased in pollen abundance relative to
T. angustifolia pollen through time.
Main conclusions
This study illustrates the value of generating historical invasion maps with publically available aerial imagery and linking these maps with paleobotanical data to study recent (< 100 years) invasions. We determined rates of
Typha expansion in two coastal wetland types, validated our mapping methods and modelled the relationship between pollen abundance and wetland coverage, enhancing the temporal precision and breadth of analyses. Our methodology should be replicable with similar invasive plant species. The combination of pollen records and historical photography promises to be a valuable additional tool for determining invasion dynamics.