scholarly journals Assessing the Role of Invasive Species in Successional Plant Communities Using Hyperspectral Remote Sensing

2016 ◽  
Author(s):  
Itiya Aneece
Keyword(s):  
Remote Sensing ◽  
Invasive Species ◽  
Plant Communities ◽  
Hyperspectral Remote Sensing ◽  
Successional Plant

Biological invasions in the context of green roofs

2016 ◽  
Vol 62 (1-2) ◽  
pp. 32-43 ◽  
Author(s):  
Nicole L. Kinlocka ◽  
Bracha Y. Schindler ◽  
Jessica Gurevitch
Keyword(s):  
Invasive Species ◽  
Biological Invasions ◽  
Plant Communities ◽  
Species Interactions ◽  
Green Roof ◽  
Green Roofs ◽  
Plant Invasions ◽  
Ecological Aspects ◽  
Urban Environmental Problems

Green roofs can mitigate a number of urban environmental problems when green roof plant communities provide ecosystem services. However, this perspective may fail to address ecological aspects of the plant community. In particular, it does not account for the potential for green roofs to facilitate biological invasions. We consider current research in green roof ecology in light of the literature on biological invasions, focusing on plant invasion. We evaluate the role of species composition and novel communities, species interactions, succession, and dispersal on the trajectory of green roof plant communities. Green roofs have the potential to introduce invasive species through initial plantings, to become dominated by invasive species, and to spread invasive species, and we provide recommendations for plant selection and maintenance to reduce the risks of facilitating plant invasions to surrounding communities.

Tropical savannas: Biomass, plant ecology, and the role of fire and soil on vegetation

2010 ◽  
Vol 34 (4) ◽  
pp. 563-585 ◽  
Author(s):  
Peter Furley
Keyword(s):  
Remote Sensing ◽  
Plant Communities ◽  
Dynamic Change ◽  
Plant Ecology ◽  
Individual Species ◽  
Change Processes ◽  
Tropical Savannas ◽  
Remote Sensing Techniques ◽  
Biomass Plant

Four major themes can be identified over the period 2008—2009: (1) the increasing use, sophistication and resolution of remote sensing techniques and the application of these methods to assessment of biomass, C-balance and biosphere-atmosphere interactions; (2) continued interest in dynamic change processes affecting individual species and plant communities, and the changing proportions of tree, shrub and herbaceous components; (3) the nature, impact and management of fire; and (4) increasing awareness of the importance of soils and soil moisture in shaping the nature and distribution of vegetation, particularly at local scales.

scholarly journals Evaluation of desertified delta plant communities using spectral indexes and landscape transformation models

2021 ◽  
Vol 227 ◽  
pp. 02006
Author(s):  
Mamanbek Reimov ◽  
Viktor Statov ◽  
Polat Reymov ◽  
Nizamatdin Mamutov ◽  
Salavat Abdireymov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Plant Communities ◽  
Spatial Model ◽  
Monitoring And Evaluation ◽  
Aral Sea ◽  
Landscape Transformation ◽  
Geostatistical Techniques ◽  
General Data ◽  
Remote Sensing Methods

The work concerns the application of spectral indexes (NDVI, SAVI and other types of spectral indexes) for monitoring and evaluation of the plant communities of desertified Amudarya river delta plant communities. The described approach includes the multi-level spatial model of the landscape transformation with desertification, soil erosion, soil salinity increasing, climatic changes to improve the adequacy of the remote sensing methods for complicated and non-stable post-deltaic ecosystems of the Aral Sea region. The key role of the geomorphological and pedological analysis for the spatial model implementation had been shown. Some geostatistical techniques had been used to link general data on vegetation cover calculated from remote sensing information with the type of the plant community, with consequent clarification of the vegetation map using both succession-based model approaches and field data.

Hyperspectral remote sensing estimation models for foliar photosynthetic pigment contents at canopy level in an invasive species,Spartina alterniflora

2015 ◽  
Vol 35 (4) ◽  
Author(s):  
艾金泉 AI Jinquan ◽  
陈文惠 CHEN Wenhui ◽  
陈丽娟 CHEN Lijuan ◽  
张永贺 ZHANG Yonghe ◽  
周毅军 ZHOU Yijun ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Invasive Species ◽  
Spartina Alterniflora ◽  
Photosynthetic Pigment ◽  
Hyperspectral Remote Sensing ◽  
Pigment Contents ◽  
Estimation Models

scholarly journals Characterizing the effect of small-scale topographic variability on co-existing native and invasive species in a heterogeneous grassland using airborne hyperspectral remote sensing

2021 ◽  
Author(s):  
Phuong D. Dao ◽  
Alexander Axiotis ◽  
Yuhong He
Keyword(s):  
Remote Sensing ◽  
Invasive Species ◽  
Native Plants ◽  
Grassland Management ◽  
Hyperspectral Remote Sensing ◽  
Dominant Factor ◽  
Small Scale ◽  
Species Classification ◽  
Spatial And Temporal Scales ◽  
Landscape Level

1. Characterizing the distribution, mechanism, and behaviour of invasive species is crucial to implementing an effective plan for the protection and management of native grassland ecosystems. Hyperspectral remote sensing has been used for mapping and monitoring invasive species at various spatial and temporal scales. However, most studies focus either on invasive tree species mapping or on the landscape-level using low-spatial resolution remote sensing imagery. These low-resolution images are not fine enough to distinguish individual invasive grasses, especially in a heterogeneous environment where invasive species are small, fragmented, and co-existing with native plants with similar color and texture. 2. To capture the small yet highly dynamic invasive plants at different stages of the growing season and under various topography and hydrological conditions, we use airborne high-resolution narrow-band hyperspectral imagery (HrHSI) to map invasive species in a heterogeneous grassland ecosystem in southern Ontario, Canada. 3. The results show that there is high spectral and textural separability between invasive species and between invasive and native plants, leading to an overall species classification accuracy of up to 89.6%. The combination of resultant species-level maps and the digital elevation model (DEM) showed that seasonality is the dominant factor that drives the distribution of invasive species at the landscape level, while small-scale topographic variations partially explain local patches of invasive species. 4. This study provides insights into the feasibility of using HrHSI in mapping invasive species in a heterogeneous ecosystem and offers the means to understand the mechanism and behaviour of invasive species for a more effective grassland management strategy.

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