A comparison of landscape fragmentation analysis programs for identifying possible invasive plant species locations in forest edge
- 602 Downloads
When predicting locations of invasive plant species, mapping habitat fragmentation can be an important part of the prediction process. There are many different fragmentation mapping programs, each computing a unique set of fragmentation metrics that can be used in modeling probabilities of invasive species presence.
In this study, we compare the results from five freely available fragmentation programs: FRAGSTATS; the Landscape Fragmentation Tool; Shape Metrics; Patch Analyst; and PolyFrag. We compare these programs quantitatively on their ability to predict invasive plant presence and qualitatively for ease of use.
The programs were compared using invasive plant inventories completed by The Nature Conservancy on parcels within the Coastal Watershed in New Hampshire, USA. Known locations of invasive plants, pseudo-absence locations, and metrics derived from each of the fragmentation programs were used to create maps of predicted presence for the parcels. The maps were compared and assessed for accuracy.
FRAGSTATS and PolyFrag created prediction maps with the highest accuracies and were relatively easy to use. The other programs had lower accuracies or were more difficult to implement. Both FRAGSTATS and PolyFrag compute similar fragmentation metrics and the models found similar metrics significant in predicting presence. Both programs predicted that invasive plants were less likely to be found in deciduous forests than in either mixed or coniferous forests.
At the parcel level, some fragmentation programs result in metrics with more predictive power. Based on this analysis, we recommend FRAGSTATS for use with raster datasets and PolyFrag for vector datasets.
KeywordsAccuracy assessment Edge Fragmentation FRAGSTATS Invasive plants Landscape metrics New England PolyFrag Raster Vector
- Allen JM, Leininger TJ, Hurd JD Jr, Civco DL, Gelfand AE, Silander JA Jr (2013) Socioeconomics drive invasive plant richness in New England, USA through forest fragmentation. Landscape Ecol 28(9):1671–1686Google Scholar
- CLEAR (Center for Land Use Education and Research) (2009) Connecticut’s changing landscape, University of Connecticut. http://clear.uconn.edu/. Accessed June 2014
- Congalton RG (1997) Exploring and evaluating the consequences of vector-to-raster and raster-to-vector conversion. Photogramm Eng Rem S 60(4):434–435Google Scholar
- Congalton RG, Green K (2009) Assessing the accuracy of remotely sensed data: principles and practices, 2nd edn. CRC Press, Boca Raton, p 208Google Scholar
- Congalton RG, Oderwald RG, Mead RA (1983) Assessing Landsat classification accuracy using discrete multivariate statistical techniques. Photogramm Eng Rem S 49(12):1671–1678Google Scholar
- Elith J, Graham CH, Anderson RP, Dudik M, Ferrier S, Guisan A, Hijmans RJ, Huettmann F, Leathwick JR, Lehmann A, Li J, Lohmann LG, Loiselle BA, Manion G, Moritz C, Nakamura M, Nakazawa Y, Overton JMcC, Peterson AT, Phillips SJ, Richardson KS, Scachetti-Pereira R, Schapire RE, Soberon J, Williams S, Wisz MS, Zimmermann NE (2006) Novel methods improve prediction of species’ distributions from occurrence data. Ecography 29:129–151Google Scholar
- Glode JS (2012) The Nature Conservancy, New Hampshire Chapter, Great Bay invasive species data. Unpublished raw dataGoogle Scholar
- Glode JS, Brickner-Wook J, Robinson E, Weisiger W, Wellenberger P, Stevens R (2012) Crommet Creek Conservation Area Management Plan. Report from The Great Bay Resource Protection Partnership. http://greatbaypartnership.org/Crommet%20Creek%20Conservation%20Area%20Management%20Plan%202012.pdf. Accessed Nov 2014
- Harper KA, MacDonald SE, Burton PJ, Chen J, Brosofske KD, Saunders SC, Euskirchen ES, Robers D, Jaiteh MS, Esseen PA (2005) Edge influence on forest structure and composition in fragmented landscapes. Conserv Biol 19(3):768–782Google Scholar
- Ibáñez I, Silander JA Jr, Wilson AM, LaFleur N, Tanaka N, Tsuyama I (2009) Multivariate forecasts of potential distributions of invasive plant species. Ecol Appl 19(2):359–375Google Scholar
- MacLean MG, Congalton RG (2013a) PolyFrag: a vector-based program or computing landscape metrics. GISci Remote Sens 50(6):591–603Google Scholar
- McGarigal K, Marks BJ (1995) FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. USDA For Serv Gen Tech Rep PNW-351.http://www.umass.edu/landeco/research/fragstats/fragstats.html. Accessed June 2014
- McGarigal K, Cushman SA, Ene E (2012) FRAGSTATS v4: Spatial Pattern Analysis Program for Categorical and Continuous Maps. Computer software program produced by the authors at the University of Massachusetts, Amherst.http://www.umass.edu/landeco/research/fragstats/fragstats.html. Accessed June 2014
- Parent J, Civco D, Hurd J (2007) Simulating future forest fragmentation in a Connecticut region undergoing suburbanization. Presented at ASPRS 2007 annual conference, p 11. Tampa, FLGoogle Scholar
- Rempel RS, Kaukinen D, Carr AP (2012) Patch analyst and patch grid. Ontario Ministry of Natural Resources, Centre for Northern Forest Ecosystem Research, Thunder BayGoogle Scholar
- Riitters KH, Wickham JD, O’Neill RV, Jones KB, Smith ER, Coulston JW, Wade TG, Smith JH (2002) Fragmentation of Continental United States Forests. Ecosystems 5:815–822Google Scholar
- Vogt P, Riitters KH, Estreguil C, Kozak J, Wade TG, Wickham JD (2007) Mapping spatial patterns with morphological image processing. Landscape Ecol 22:171–177Google Scholar