Linking physiological responses, chlorophyll fluorescence and hyperspectral imagery to detect salinity stress using the physiological reflectance index in the coastal shrub, Myrica cerifera

Naumann, Julie C; Anderson, John E.; Young, Donald R.

doi:10.1016/j.rse.2008.06.004

Cited by 42 publications

(20 citation statements)

References 52 publications

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“…These findings are similar to studies focused on water stress, which have shown positive relationships between PRI and fluorescence (Peñuelas et al 1998;Winkel et al 2002). During the same 2007 field season, Naumann et al (2008b) showed that M. cerifera experienced a drought response, as seen in decreases in stomatal conductance, photosynthesis, and RWC relative to earlier in the season. Chlorophyll fluorescence did not respond to drought, but rather to differences in salinity.…”

Section: Discussionsupporting

confidence: 86%

“…Salinity affects plant water status and produces a suite of effects similar to those caused by drought in newly developed transpiring leaves (Munns 2002). Previous research has shown declines in chlorophyll fluorescence and PRI to be indicators of salinity stress in Myrica cerifera prior to visible signs of stress in both laboratory (Naumann et al 2007) and field experiments (Naumann et al 2008b). PRI has been correlated to plant water status under drought conditions (Suárez et al 2008).…”

Section: Discussionmentioning

confidence: 96%

“…Recently, researchers have demonstrated the success of using airborne imagery for calculating PRI in various systems (Asner et al 2004;Fuentes et al 2006;Suárez et al 2008;Naumann et al 2008b). The objective of our study was to identify spatial variations in plant stress in the dominant woody vegetation on a Virginia barrier island, using a combination of field measurements and hyperspectral airborne reflectance.…”

Section: Introductionmentioning

confidence: 99%

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Spatial variations in salinity stress across a coastal landscape using vegetation indices derived from hyperspectral imagery

Naumann

Young

Anderson³

2008

Plant Ecol

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Chlorophyll fluorescence and landscapelevel reflectance imagery were used to evaluate spatial variations in stress in Myrica cerifera and Iva frutescens during a severe drought and compared to an extremely wet year. Measurements of relative water content and the water band index (WBI 970 ) indicated that the water stress did not vary across the island. In contrast, there were significant differences in tissue chlorides across sites for both species. Using the physiological reflectance index (PRI), we were able to detect salinity stress across the landscape. For M. cerifera, PRI did not differ between wet and dry years, while for I. frutescens, there were differences in PRI during the 2 years, possibly related to flooding during the wet year. There was a positive relationship between PRI and DF=F 0 m for M. cerifera (r 2 = 0.79) and I. frutescens (r 2 = 0.72). The normalized difference vegetation index (NDVI), the chlorophyll index (CI), and WBI 970 were higher during the wet summer for M. cerifera, but varied little across the island. CI and WBI 970 were higher during 2004 for I. frutescens, while there were no differences in NDVI during the 2 years. PRI was not significantly related to NDVI, suggesting that the indices are spatially independent. These results suggest that PRI may be used for early identification of salt stress that may lead to changes in plant distributions at the landscape level, as a result of rising sea level. Comparsions between the two species indicate that variations in PRI and other indices may be species specific.

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Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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Spatial variations in salinity stress across a coastal landscape using vegetation indices derived from hyperspectral imagery

Naumann

Young

Anderson³

2008

Plant Ecol

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“…In particular, several studies reported the intercomparison of the Normalized Difference Vegetation Index (NDVI) data (Thenkabail, 2004;Abuzar et al, 2014). Many researchers used the NDVI as a biophysical indicator to analyze indirect effects of environmental changes (Aguilar et al 2012;Barton, 2012), including those due to processes of salinization (Naumann et al 2008;Zhang et al 2011). The delineation of type and status of vegetation could provide a spatial overview of salinity distribution (Dehaan and Taylor, 2002;Tilley et al 2007) and support land planners to reduce the risk resulting from salinization (Wiegand et al 1994).…”

Section: Introductionmentioning

confidence: 99%

ASTER and Worldview-2 satellite data comparison for identification of groundwater salinization effects on the Classe pine forest vegetation (Ravenna, Italy)

Barbarella

Giglio

Greggio

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The availability of a large number of data acquired by satellite sensors with different spatial and spectral resolutions has always required an evaluation of their synergistic use. The integration of dataset of images coming from different sources can be an optimal solution for the study of various environmental problems which need a continuous monitoring (coastal development, forest evolution, land use changes etc.). The Classe pinewood, an important safeguarded biodiversity hot spot near Ravenna city (Italy), is historically affected by the groundwater salinization. Since changes in the water concentration are able to induce variations of the leaf properties and vegetation cover, recognizable by surveys carried out with different spectral bands, the comparison between ASTER and Worldview-2 data was performed using the (Normalized Difference Vegetation Index) NDVI. For each satellite data, the same Areas of Interest (AOIs) were selected within the most widespread cover, Thermophilic Deciduous Forest (TDF). The NDVI was calculated, statistically evaluated and the AOI rankings were built. In order to evaluate the difference between the results provided by the two images, statistical tests were applied on the average NDVI values. Finally the calculated NDVI were compared with groundwater salinity data collected during a contemporary field monitoring campaign. Based on groundwater salinity the same AOIs ranking was reached for both satellite sensors. This study suggests the opportunity to employ the medium resolution Aster images in continuity with high resolution WarldView-2 dataset.

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“…Advances in fluorescence spectroscopy and reflectance-derived fluorescence have made possible earlier detection of stress in plants (Zarco-Tejada et al 2003Evain et al 2004), especially before changes in chlorophyll content are visible. This research approach has been applied to many areas of environmental stress, most notably drought, salinity, nitrogen concentrations and other nutrient deficiencies (Morales et al 2000;Dobrowski et al 2005;Campbell et al 2008;Naumann et al 2008aNaumann et al , 2009. Despite these advances in remote sensing technology, understanding and application to anthropogenic stressors, particularly explosives, remains limited.…”

Section: Introductionmentioning

confidence: 99%

Remote detection of plant physiological responses to TNT soil contamination

Naumann¹,

Anderson²,

Young

2009

Plant Soil

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Our study was aimed at understanding physiological responses to trinitrotoluene (TNT) soil contamination, and using optical methods to detect TNT-induced stress in a woody plant prior to visible changes. Myrica cerifera plants were potted in soil concentrations of TNT ranging from 30-500 mg kg −1 . Physiological measurements were significantly affected by TNT exposure at all treatment levels, and photosynthetic decline likely resulted from metabolic impairment rather than stomatal closure as the experiment progressed. Several reflectance indices were able to detect TNT-induced stress before any changes in chlorophyll concentrations occurred. The most sensitive index was the simple ratio R 761 /R 757 which is linked to fluorescence in-filling of the 0 2 atmospheric absorption. Changes at R 740 /R 850 and R 735 /R 850 may be attributed to both fluorescence and structural characteristics of leaf anatomy in the near infrared region. This could have been influenced by transformation and conjugation of TNT metabolites with other compounds. chlorophyll index (CHL) or in the water band index (WBI 970 ), which are indices typically associated with drought stress, and may provide a means of separating stress due to explosives. Further studies need to be conducted with a combination of stressors (TNT and natural) to determine if responses are in fact generalized or if any of these changes are separable from natural stress. AbbreviationsTNT Trinitrotoluene PPFD photosynthetic photon flux density g wv stomatal conductance A Net net photosynthetic rate F o minimal fluorescence in dark-adapted leaves F m maximal fluorescence in dark-adapted leaves F v /F m maximum quantum use efficiency of PSII in the dark-adapted state F′ o minimal fluorescence in light-adapted leaves F′ m maximal fluorescence in light-adapted leaves F s steady-state fluorescence ΔF/F′ m, fraction of absorbed photons that are used for photochemistry in a light-adapted leaf F′ v /F′ m effective quantum use efficiency of PSII in the light-adapted state PSII photosystem II WBI water band index Plant Soil (

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Linking physiological responses, chlorophyll fluorescence and hyperspectral imagery to detect salinity stress using the physiological reflectance index in the coastal shrub, Myrica cerifera

Cited by 42 publications

References 52 publications

Spatial variations in salinity stress across a coastal landscape using vegetation indices derived from hyperspectral imagery

Spatial variations in salinity stress across a coastal landscape using vegetation indices derived from hyperspectral imagery

ASTER and Worldview-2 satellite data comparison for identification of groundwater salinization effects on the Classe pine forest vegetation (Ravenna, Italy)

Remote detection of plant physiological responses to TNT soil contamination

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