IP Library Granted Patent US 7,308,392
Granted Patent B2
US 7,308,392 · App. 10/167,884 · Granted Dec 11, 2007

Processes and systems for predicting biological species invasions

Assignee: The University of Kansas
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 7,308,392
App. No.
10/167,884
Granted
Dec 11, 2007
Kind
B2
Abstract

Methods and systems are disclosed for predicting species invasions. Native species occurrence information and native environmental information are received. At least one ecological niche model is formulated based on the native species occurrence information and the native environmental information. Target environmental information corresponding to an alternative geography is received. The ecological niche model is projected onto the alternative geography to predict characteristics of an invasion of the species.

Claims (38)

1. A computer-implemented method of predicting species invasions, the method comprising:

receiving native species occurrence information; receiving native environmental information;

formulating at least one ecological niche model based on the native species occurrence information and the native environmental information;

receiving target environmental information corresponding to an alternative geography; and

projecting the ecological niche model onto the alternative geography to predict characteristics of an invasion of the species.

2. The method as set forth in claim 1 , wherein the native species occurrence information includes primary point occurrence information.

3. The method as set forth in claim 2 , wherein the primary point occurrence information includes direct evidence of species' presence at a particular location.

4. The method as set forth in claim 1 further includes georeferencing the native species occurrence information.

5. The method as set forth in claim 4 , wherein the georeferencing includes automated georeferencing.

6. The method as set forth in claim 1 further including organizing the native species occurrence information.

7. The method as set forth in claim 6 , wherein the organizing includes formatting the native species occurrence information into columns characterized by an identification of the species, longitude, and latitude.

8. The method as set forth in claim 1 , wherein the native environmental information includes data sets from the Hydro1K elevational data set.

9. The method as set forth in claim 1 , wherein the native environmental information includes data sets from the global land cover database.

10. The method as set forth in claim 1 wherein the target environmental information includes data sets from the Hydro1K elevational data set.

11. The method as set forth in claim 1 , wherein the target environmental information includes data sets from the global land cover database.

12. The method as set forth in claim 1 , wherein the native environmental information includes at least 4-8 sets of geospatial information and the native species occurrence information includes at least 10-30 species occurrence points.

13. The method as set forth in claim 1 further comprising executing a jackknife algorithm in connection with rules associated with the ecological niche model.

14. The method as set forth in claim 13 , wherein the ecological niche model is formulated by selecting best subsets of the rules associated with the ecological niche model.

15. The method as set forth in claim 14 , wherein the ecological niche model is aggregated by summing the best subsets of the rules associated with the ecological niche model.

16. A method of predicting species invasions, the method comprising:

receiving native species occurrence information;

receiving geospatial information associated with native species occurrence information and with a target geographical region;

developing environmental criteria associated with an ecological niche model based on the native species occurrence information and the geospatial information; and

projecting the environmental criteria onto the target geographical region to model an invasion of the target geographical region by the species.

17. A distributed computer network for predicting effects of species invasions, the computer network comprising:

a species occurrence database server;

a geospatial environment database server; and

a modeling server having a memory containing computer readable instructions capable of: receiving native species occurrence information;

receiving native environmental information;

formulating at least one ecological niche model based on the native species occurrence information and the native environmental information;

receiving target environmental information corresponding to an alternative geography; and

projecting the ecological niche model onto the alternative geography to predict characteristics of an invasion of the species.

18. An apparatus operable to predict species invasions, the apparatus comprising:

means for receiving native species occurrence information;

means for receiving native environmental information;

means for formulating at least one ecological niche model based on the native species occurrence information and the native environmental information;

means for receiving target environmental information corresponding to an alternative geography; and

means for projecting the ecological niche model onto the alternative geography to predict characteristics of an invasion of the species.

Assignments (3)
CONFIRMATORY LICENSE Recorded Dec 29, 2010
From: UNIVERSITY OF KANSAS LAWRENCE
To: NATIONAL SCIENCE FOUNDATION
Reel/Frame 025570/0694 →
CONFIRMATORY LICENSE Recorded May 17, 2010
From: UNIVERSITY OF KANSAS LAWRENCE
To: NATIONAL SCIENCE FOUNDATION
Reel/Frame 024393/0384 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 3, 2002
From: PETERSON, ANDREW TOWNSEND; VIEGLAIS, DAVID A.
To: KANSAS, UNIVERSITY OF, THE
Reel/Frame 013249/0673 →
Continuity (2)
Provisional Application 6029752000 · Jun 12, 2001
Related Publication 20030023416A1 · Jan 30, 2003