Hyperspectral Signal Processing Applications in Environmental Monitoring Identification and Mapping of the Invasive Plant Species Purple Loosestrife

2006 ◽  
Author(s):  
Guoxiang Liu ◽  
Jeffery Allen ◽  
Kang Lu ◽  
Gary Kleppel ◽  
Jeff Parkey
Keyword(s):  
Signal Processing ◽  
Environmental Monitoring ◽  
Plant Species ◽  
Invasive Plant ◽  
Purple Loosestrife ◽  
Invasive Plant Species

scholarly journals Invasion landscapes as social‐ecological systems: Role of social factors in invasive plant species control

2021 ◽  
Author(s):  
Johanna Yletyinen ◽  
George L. W. Perry ◽  
Olivia R. Burge ◽  
Norman W. H. Mason ◽  
Philip Stahlmann‐Brown
Keyword(s):  
Plant Species ◽  
Social Factors ◽  
Invasive Plant ◽  
Ecological Systems ◽  
Invasive Plant Species ◽  
Social Ecological Systems ◽  
Social Ecological

Valorisation of invasive plant species in the production of polyelectrolytes

2021 ◽  
Vol 167 ◽  
pp. 113476
Author(s):  
Ricardo Almeida ◽  
Fernando Cisneros ◽  
Cátia V.T. Mendes ◽  
Maria Graça V.S. Carvalho ◽  
Maria G. Rasteiro ◽  
...  
Keyword(s):  
Plant Species ◽  
Invasive Plant ◽  
Invasive Plant Species

scholarly journals Is Physiological Performance a Good Predictor for Fitness? Insights from an Invasive Plant Species

PLoS ONE ◽  
2013 ◽  
Vol 8 (10) ◽  
pp. e76432 ◽  
Author(s):  
Marco A. Molina-Montenegro ◽  
Cristian Salgado-Luarte ◽  
Rómulo Oses ◽  
Cristian Torres-Díaz
Keyword(s):  
Plant Species ◽  
Good Predictor ◽  
Invasive Plant ◽  
Invasive Plant Species ◽  
Physiological Performance

scholarly journals Strong response of an invasive plant species (Centaurea solstitialisL.) to global environmental changes

2011 ◽  
Vol 21 (6) ◽  
pp. 1887-1894 ◽  
Author(s):  
Jeffrey S. Dukes ◽  
Nona R. Chiariello ◽  
Scott R. Loarie ◽  
Christopher B. Field
Keyword(s):  
Plant Species ◽  
Invasive Plant ◽  
Environmental Changes ◽  
Invasive Plant Species ◽  
Strong Response ◽  
Global Environmental ◽  
Global Environmental Changes

Responses of insect pests, pathogens, and invasive plant species to climate change in the forests of northeastern North America: What can we predict?This article is one of a selection of papers from NE Forests 2100: A Synthesis of Climate Change Impacts on Forests of the Northeastern US and Eastern Canada.

2009 ◽  
Vol 39 (2) ◽  
pp. 231-248 ◽  
Author(s):  
Jeffrey S. Dukes ◽  
Jennifer Pontius ◽  
David Orwig ◽  
Jeffrey R. Garnas ◽  
Vikki L. Rodgers ◽  
...  
Keyword(s):  
Climate Change ◽  
Plant Species ◽  
Invasive Plant ◽  
Insect Pests ◽  
Adelges Tsugae ◽  
Pest Species ◽  
Invasive Plant Species ◽  
Eastern Canada ◽  
Wide Range ◽  
Nuisance Species

Climate models project that by 2100, the northeastern US and eastern Canada will warm by approximately 3–5 °C, with increased winter precipitation. These changes will affect trees directly and also indirectly through effects on “nuisance” species, such as insect pests, pathogens, and invasive plants. We review how basic ecological principles can be used to predict nuisance species’ responses to climate change and how this is likely to impact northeastern forests. We then examine in detail the potential responses of two pest species (hemlock woolly adelgid ( Adelges tsugae Annand) and forest tent caterpillar ( Malacosoma disstria Hubner)), two pathogens (armillaria root rot ( Armillaria spp.) and beech bark disease ( Cryptococcus fagisuga Lind. + Neonectria spp.)), and two invasive plant species (glossy buckthorn ( Frangula alnus Mill.) and oriental bittersweet ( Celastrus orbiculatus Thunb.)). Several of these species are likely to have stronger or more widespread effects on forest composition and structure under the projected climate. However, uncertainty pervades our predictions because we lack adequate data on the species and because some species depend on complex, incompletely understood, unstable relationships. While targeted research will increase our confidence in making predictions, some uncertainty will always persist. Therefore, we encourage policies that allow for this uncertainty by considering a wide range of possible scenarios.

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