304
in Moreton Bay (Australia). Remote Sens Environ 112:3413–3425. https://doi.org/10.1016/j.
rse.2007.09.017
Pimentel D, Zuniga R, Morrison D (2005) Update on the environmental and economic costs associated with alien-invasive species in the United States. Ecol Econ 52:273–288. https://doi.
org/10.1016/j.ecolecon.2004.10.002
Primack RB, Laube J, Gallinat AS, Menzel A (2015) From observations to experiments in phenology research: investigating climate change impacts on trees and shrubs using dormant twigs.
Ann Bot 116:889–897. https://doi.org/10.1093/aob/mcv032
Pu R, Gong P, Tian Y et al (2008) Using classification and NDVI differencing methods for monitoring sparse vegetation coverage: a case study of saltcedar in Nevada, USA. Int J Remote Sens
29:3987–4011. https://doi.org/10.1080/01431160801908095
Pyšek P, Jarošík V, Pergl J et al (2009) The global invasion success of Central European plants
is related to distribution characteristics in their native range and species traits. Divers Distrib
15:891–903. https://doi.org/10.1111/j.1472-4642.2009.00602.x
Radomski P, Holbrook BV (2015) A comparison of two hydroacoustic methods for estimating
submerged macrophyte distribution and abundance: a cautionary note. J Aquat Plant Manag
53:151–159
Ramsey III EW, Nelson GA, Sapkota SK et al (2002) Mapping Chinese tallow with color-infrared
photography. Photogramm Eng Remote Sens 68:251–255
Ramsey III E, Rangoonwala A, Nelson G, Ehrlich R (2005) Mapping the invasive species, Chinese
tallow, with EO1 satellite Hyperion hyperspectral image data and relating tallow occurrences
to a classified Landsat Thematic Mapper land cover map. Int J Remote Sens 26:1637–1657.
https://doi.org/10.1080/01431160512331326701
Resasco J, Hale AN, Henry MC, Gorchov DL (2007) Detecting an invasive shrub in a deciduous
forest understory using late-fall Landsat sensor imagery. Int J Remote Sens 28:3739–3745.
https://doi.org/10.1080/01431160701373721
Ricciardi A (2007). Are modern biological invasions an unprecedented form of global change?.
Conserv Biol 21(2):329–336. https://doi.org/10.1111/j.1523-1739.2006.00615.x
Ricciardi A, Palmer ME, Yan ND (2011) Should biological invasions be managed as natural disasters? Bioscience 61:312–317. https://doi.org/10.1525/bio.2011.61.4.11
Rocchini D, Andreo V, Förster M et al (2015) Potential of remote sensing to predict species invasions: a modelling perspective. Prog Phys Geogr 39:283–309. https://doi.
org/10.1177/0309133315574659
Rouse JW, Benton AR, Toler RW, Haas RH (1975) Three examples of applied remote sensing of vegetation. In: NASA earth resources survey symposium, vol 1-C. NASA, Houston,
pp 1797–1810
Rupprecht CDD, Byrne JA, Garden JG, Hero J-M (2015) Informal urban green space: a trilingual
systematic review of its role for biodiversity and trends in the literature. Urban For Urban
Green 14:883–908. https://doi.org/10.1016/j.ufug.2015.08.009
Samiappan S, Turnage G, Hathcock L et al (2017) Using unmanned aerial vehicles for highresolution remote sensing to map invasive Phragmites australis in coastal wetlands. Int J
Remote Sens 38:2199–2217. https://doi.org/10.1080/01431161.2016.1239288
Santos MJ, Whitham TG (2010) Predictors of Ips confusus outbreaks during a record drought in
Southwestern USA: implications for monitoring and management. Environ Manag 45:239–
249. https://doi.org/10.1007/s00267-009-9413-6
Santos MJ, Khanna S, Hestir EL et al (2009) Use of hyperspectral remote sensing to evaluate efficacy of aquatic plant management. Invasive Plant Sci Manag 2:216–229. https://doi.
org/10.1614/IPSM-08-115.1
Santos MJ, Hestir EL, Khanna S, Ustin SL (2012) Image spectroscopy and stable isotopes elucidate functional dissimilarity between native and nonnative plant species in the aquatic environment. New Phytol 193:683–695. https://doi.org/10.1111/j.1469-8137.2011.03955.x
Santos MJ, Khanna S, Hestir EL et al (2016) Measuring landscape-scale spread and persistence
of an invaded submerged plant community from airborne remote sensing. Ecol Appl 26:1733–
1744. https://doi.org/10.1890/15-0615
E. A. Bolch et al.
in Moreton Bay (Australia). Remote Sens Environ 112:3413–3425. https://doi.org/10.1016/j.
rse.2007.09.017
Pimentel D, Zuniga R, Morrison D (2005) Update on the environmental and economic costs associated with alien-invasive species in the United States. Ecol Econ 52:273–288. https://doi.
org/10.1016/j.ecolecon.2004.10.002
Primack RB, Laube J, Gallinat AS, Menzel A (2015) From observations to experiments in phenology research: investigating climate change impacts on trees and shrubs using dormant twigs.
Ann Bot 116:889–897. https://doi.org/10.1093/aob/mcv032
Pu R, Gong P, Tian Y et al (2008) Using classification and NDVI differencing methods for monitoring sparse vegetation coverage: a case study of saltcedar in Nevada, USA. Int J Remote Sens
29:3987–4011. https://doi.org/10.1080/01431160801908095
Pyšek P, Jarošík V, Pergl J et al (2009) The global invasion success of Central European plants
is related to distribution characteristics in their native range and species traits. Divers Distrib
15:891–903. https://doi.org/10.1111/j.1472-4642.2009.00602.x
Radomski P, Holbrook BV (2015) A comparison of two hydroacoustic methods for estimating
submerged macrophyte distribution and abundance: a cautionary note. J Aquat Plant Manag
53:151–159
Ramsey III EW, Nelson GA, Sapkota SK et al (2002) Mapping Chinese tallow with color-infrared
photography. Photogramm Eng Remote Sens 68:251–255
Ramsey III E, Rangoonwala A, Nelson G, Ehrlich R (2005) Mapping the invasive species, Chinese
tallow, with EO1 satellite Hyperion hyperspectral image data and relating tallow occurrences
to a classified Landsat Thematic Mapper land cover map. Int J Remote Sens 26:1637–1657.
https://doi.org/10.1080/01431160512331326701
Resasco J, Hale AN, Henry MC, Gorchov DL (2007) Detecting an invasive shrub in a deciduous
forest understory using late-fall Landsat sensor imagery. Int J Remote Sens 28:3739–3745.
https://doi.org/10.1080/01431160701373721
Ricciardi A (2007). Are modern biological invasions an unprecedented form of global change?.
Conserv Biol 21(2):329–336. https://doi.org/10.1111/j.1523-1739.2006.00615.x
Ricciardi A, Palmer ME, Yan ND (2011) Should biological invasions be managed as natural disasters? Bioscience 61:312–317. https://doi.org/10.1525/bio.2011.61.4.11
Rocchini D, Andreo V, Förster M et al (2015) Potential of remote sensing to predict species invasions: a modelling perspective. Prog Phys Geogr 39:283–309. https://doi.
org/10.1177/0309133315574659
Rouse JW, Benton AR, Toler RW, Haas RH (1975) Three examples of applied remote sensing of vegetation. In: NASA earth resources survey symposium, vol 1-C. NASA, Houston,
pp 1797–1810
Rupprecht CDD, Byrne JA, Garden JG, Hero J-M (2015) Informal urban green space: a trilingual
systematic review of its role for biodiversity and trends in the literature. Urban For Urban
Green 14:883–908. https://doi.org/10.1016/j.ufug.2015.08.009
Samiappan S, Turnage G, Hathcock L et al (2017) Using unmanned aerial vehicles for highresolution remote sensing to map invasive Phragmites australis in coastal wetlands. Int J
Remote Sens 38:2199–2217. https://doi.org/10.1080/01431161.2016.1239288
Santos MJ, Whitham TG (2010) Predictors of Ips confusus outbreaks during a record drought in
Southwestern USA: implications for monitoring and management. Environ Manag 45:239–
249. https://doi.org/10.1007/s00267-009-9413-6
Santos MJ, Khanna S, Hestir EL et al (2009) Use of hyperspectral remote sensing to evaluate efficacy of aquatic plant management. Invasive Plant Sci Manag 2:216–229. https://doi.
org/10.1614/IPSM-08-115.1
Santos MJ, Hestir EL, Khanna S, Ustin SL (2012) Image spectroscopy and stable isotopes elucidate functional dissimilarity between native and nonnative plant species in the aquatic environment. New Phytol 193:683–695. https://doi.org/10.1111/j.1469-8137.2011.03955.x
Santos MJ, Khanna S, Hestir EL et al (2016) Measuring landscape-scale spread and persistence
of an invaded submerged plant community from airborne remote sensing. Ecol Appl 26:1733–
1744. https://doi.org/10.1890/15-0615
E. A. Bolch et al.