305
Sathyendranath S, Aiken J, Alvain S (2014) Phytoplankton functional types from space. In:
Reports and monographs of the international ocean-colour coordinating group. International
Ocean-Colour Coordinating Group, p 163
Saul WC, Roy HE, Booy O et al (2017) Assessing patterns in introduction pathways of
alien species by linking major invasion data bases. J Appl Ecol 54:657–669. https://doi.
org/10.1111/1365-2664.12819
Scheffer M, Szabo S, Gragnani A et al (2003) Floating plant dominance as a stable state. Proc Natl
Acad Sci U S A 100:4040–4045. https://doi.org/10.1073/pnas.0737918100
Seebens H, Blackburn TM, Dyer EE et al (2017) No saturation in the accumulation of alien species
worldwide. Nat Commun 8:14435. https://doi.org/10.1038/ncomms14435
Serrano L, Peñuelas J, Ustin SL (2002) Remote sensing of nitrogen and lignin in Mediterranean
vegetation from AVIRIS data: decomposing biochemical from structural signals. Remote Sens
Environ 81:355–364. https://doi.org/10.1016/S0034-4257(02)00011-1
Shafii B, Price WJ, Prather TS et al (2004) Using landscape characteristics as prior information
for Bayesian classification of yellow starthistle. Weed Sci 52:948–953. https://doi.org/10.1614/
WS-04-042R1
Shouse M, Liang L, Fei S (2012) Identification of understory invasive exotic plants with remote
sensing: in urban forests. Int J Appl Earth Obs Geoinf 21:525–534. https://doi.org/10.1016/j.
jag.2012.07.010
Simberloff D (2000) Global climate change and introduced species in United States forests. Sci
Total Environ 262:253–261. https://doi.org/10.1016/S0048-9697(00)00527-1
Sims DA, Gamon JA (2002) Relationships between leaf pigment content and spectral reflectance
across a wide range of species, leaf structures and developmental stages. Remote Sens Environ
81:337–354. https://doi.org/10.1016/S0034-4257(02)00010-X
Singh N, Glenn NF (2009) Multitemporal spectral analysis for cheatgrass (Bromus tectorum) classification. Int J Remote Sens 30:3441–3462. https://doi.org/10.1080/01431160802562222
Singh KK, Davis AJ, Meentemeyer RK (2015) Detecting understory plant invasion in urban
forests using LiDAR. Int J Appl Earth Obs Geoinf 38:267–279. https://doi.org/10.1016/j.
jag.2015.01.012
Soltani N, Dille JA, Burke IC et al (2016) Potential corn yield losses from weeds in North America.
Weed Technol 30:979–984. https://doi.org/10.1614/WT-D-16-00046.1
Soltani N, Dille JA, Burke IC et al (2017) Perspectives on potential soybean yield losses from
weeds in North America. Weed Technol 31:148–154. https://doi.org/10.1017/wet.2016.2
Subba Rao DV, Sprules WG, Locke A, Carlton JT (1994) Exotic phytoplankton species from ships’
ballast waters: risk of potential spread to mariculture sites on Canada’s east coast. Can data Rep
Fish Aquat Sci 937:1–51
Tabacchi E, Correll DL, Hauer R et al (1998) Development, maintenance and role of
riparian vegetation in the river landscape. Freshw Biol 40:497–516. https://doi.
org/10.1046/j.1365-2427.1998.00381.x
Theoharides KA, Dukes JS (2007) Plant invasion across space and time: factors affecting nonindigenous species success during four stages of invasion. New Phytol 176:256–273. https://doi.
org/10.1111/j.1469-8137.2007.02207.x
Thornton PE, Thornton MM, Mayer BW et al (2018) Daymet: daily surface weather data on a
1-km grid for North America, Version 3. ORNL DAAC, Oak Ridge. https://doi.org/10.3334/
ORNLDAAC/1328
Tockner K, Malard F, Ward JV (2000) An extension of the food pulse concept. Hydrol Process
2883:2861–2883
Turbelin AJ, Malamud BD, Francis RA (2017). Mapping the global state of invasive alien species: patterns of invasion and policy responses. Global Ecol Biogeogr 26(1):78–92. https://doi.
org/10.1111/geb.12517
UNESCO (2018). UNESCO’S commitment to biodiversity. In M. Bouamrane (ed.). Paris: United
Nations educational, scientific and cultural organization, https://www.unesdoc.unesco.org/
images/0026/002652/265200e.pdf
12 Remote Detection of Invasive Alien Species
Sathyendranath S, Aiken J, Alvain S (2014) Phytoplankton functional types from space. In:
Reports and monographs of the international ocean-colour coordinating group. International
Ocean-Colour Coordinating Group, p 163
Saul WC, Roy HE, Booy O et al (2017) Assessing patterns in introduction pathways of
alien species by linking major invasion data bases. J Appl Ecol 54:657–669. https://doi.
org/10.1111/1365-2664.12819
Scheffer M, Szabo S, Gragnani A et al (2003) Floating plant dominance as a stable state. Proc Natl
Acad Sci U S A 100:4040–4045. https://doi.org/10.1073/pnas.0737918100
Seebens H, Blackburn TM, Dyer EE et al (2017) No saturation in the accumulation of alien species
worldwide. Nat Commun 8:14435. https://doi.org/10.1038/ncomms14435
Serrano L, Peñuelas J, Ustin SL (2002) Remote sensing of nitrogen and lignin in Mediterranean
vegetation from AVIRIS data: decomposing biochemical from structural signals. Remote Sens
Environ 81:355–364. https://doi.org/10.1016/S0034-4257(02)00011-1
Shafii B, Price WJ, Prather TS et al (2004) Using landscape characteristics as prior information
for Bayesian classification of yellow starthistle. Weed Sci 52:948–953. https://doi.org/10.1614/
WS-04-042R1
Shouse M, Liang L, Fei S (2012) Identification of understory invasive exotic plants with remote
sensing: in urban forests. Int J Appl Earth Obs Geoinf 21:525–534. https://doi.org/10.1016/j.
jag.2012.07.010
Simberloff D (2000) Global climate change and introduced species in United States forests. Sci
Total Environ 262:253–261. https://doi.org/10.1016/S0048-9697(00)00527-1
Sims DA, Gamon JA (2002) Relationships between leaf pigment content and spectral reflectance
across a wide range of species, leaf structures and developmental stages. Remote Sens Environ
81:337–354. https://doi.org/10.1016/S0034-4257(02)00010-X
Singh N, Glenn NF (2009) Multitemporal spectral analysis for cheatgrass (Bromus tectorum) classification. Int J Remote Sens 30:3441–3462. https://doi.org/10.1080/01431160802562222
Singh KK, Davis AJ, Meentemeyer RK (2015) Detecting understory plant invasion in urban
forests using LiDAR. Int J Appl Earth Obs Geoinf 38:267–279. https://doi.org/10.1016/j.
jag.2015.01.012
Soltani N, Dille JA, Burke IC et al (2016) Potential corn yield losses from weeds in North America.
Weed Technol 30:979–984. https://doi.org/10.1614/WT-D-16-00046.1
Soltani N, Dille JA, Burke IC et al (2017) Perspectives on potential soybean yield losses from
weeds in North America. Weed Technol 31:148–154. https://doi.org/10.1017/wet.2016.2
Subba Rao DV, Sprules WG, Locke A, Carlton JT (1994) Exotic phytoplankton species from ships’
ballast waters: risk of potential spread to mariculture sites on Canada’s east coast. Can data Rep
Fish Aquat Sci 937:1–51
Tabacchi E, Correll DL, Hauer R et al (1998) Development, maintenance and role of
riparian vegetation in the river landscape. Freshw Biol 40:497–516. https://doi.
org/10.1046/j.1365-2427.1998.00381.x
Theoharides KA, Dukes JS (2007) Plant invasion across space and time: factors affecting nonindigenous species success during four stages of invasion. New Phytol 176:256–273. https://doi.
org/10.1111/j.1469-8137.2007.02207.x
Thornton PE, Thornton MM, Mayer BW et al (2018) Daymet: daily surface weather data on a
1-km grid for North America, Version 3. ORNL DAAC, Oak Ridge. https://doi.org/10.3334/
ORNLDAAC/1328
Tockner K, Malard F, Ward JV (2000) An extension of the food pulse concept. Hydrol Process
2883:2861–2883
Turbelin AJ, Malamud BD, Francis RA (2017). Mapping the global state of invasive alien species: patterns of invasion and policy responses. Global Ecol Biogeogr 26(1):78–92. https://doi.
org/10.1111/geb.12517
UNESCO (2018). UNESCO’S commitment to biodiversity. In M. Bouamrane (ed.). Paris: United
Nations educational, scientific and cultural organization, https://www.unesdoc.unesco.org/
images/0026/002652/265200e.pdf
12 Remote Detection of Invasive Alien Species