Importance of AVIRIS-NG data in assessing the assemblage of guilds of tropical trees over a contrasting climate

Parmar, Reshma M.; Chaurasia, Amrita N.; Dave, Maulik G.; Goroshi, Sheshakumar; Krishnayya, N. S. R.

doi:10.1016/j.asr.2022.09.032

Cited by 2 publications

(2 citation statements)

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“…Tree species sampling protocol followed at four PAs was the same. Both quantitative and qualitative parameters of forest tree covers were recorded as described in earlier publications 52 , 53 . Quadrats of 8 m × 8 m dimensions were placed randomly across the accessible trails of forest covers, and tree species found in each quadrat were identified at the species level with the help of local forest department personnel, flora, and published records.…”

Section: Methodsmentioning

confidence: 99%

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Integrating field- and remote sensing data to perceive species heterogeneity across a climate gradient

Chaurasia,

Parmar,

Dave

et al. 2024

Sci Rep

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Tropical forests exhibit significant diversity and heterogeneity in species distribution. Some tree species spread abundantly, impacting the functional aspects of communities. Understanding how these facets respond to climate change is crucial. Field data from four protected areas (PAs) were combined with high-resolution Airborne Visible/InfraRed Imaging Spectrometer-Next Generation (AVIRIS-NG) datasets to extract large-scale plot data of abundant species and their functional traits. A supervised component generalized linear regression (SCGLR) model was used to correlate climate components with the distribution of abundant species across PAs. The recorded rainfall gradient influenced the proportion of PA-specific species in the observed species assemblages. Community weighted means (CWMs) of biochemical traits showed better correlation values (0.85–0.87) between observed and predicted values compared to biophysical traits (0.52–0.79). The model-based projection revealed distinct distribution responses of each abundant species to the climate gradient. Functional diversity and functional traits maps highlighted the interplay between species heterogeneity and climate. The appearance dynamics of abundant species in dark diversity across PAs demonstrated their assortment strategy in response to the climate gradient. These observations can significantly aid in the ecological management of PAs exposed to climate dynamics.

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Section: Methodsmentioning

confidence: 99%

“…Normalized Difference Vegetation Index (NDVI) was used to mask non-forest areas with threshold values of 0.4 (SWS and VNP), and 0.6 (MTR and SRF), (Reasoning for different NDVI values, other information can be seen in ref. 52 , 53 ).…”

Section: Methodsmentioning

confidence: 99%

Integrating field- and remote sensing data to perceive species heterogeneity across a climate gradient

Chaurasia,

Parmar,

Dave

et al. 2024

Sci Rep

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Variability in Forest Plant Traits Along the Western Ghats of India and Their Environmental Drivers at Different Resolutions

Zheng,

Ye,

Singh

et al. 2024

JGR Biogeosciences

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Imaging spectroscopy offers great potential to characterize plant traits at fine resolution across broad regions and then assess controls on their variation across spatial resolutions. We applied permutational partial least‐squares regression to map seven key foliar chemical and morphological traits using NASA's Airborne Visible/Infrared Imaging Spectrometer‐Next Generation (AVIRIS‐NG) for six sites spanning a climatological gradient in the Western Ghats of India. We studied the variation of trait space at spatial resolutions from the plot level (4 m), community level (30 and 100 m) to the ecosystem level (1,000 m). We observed a consistent pattern of trait space across different resolutions, with one axis defined by foliar nitrogen and leaf mass per area (LMA) and another axis representing leaf structure and defense defined by fiber, lignin, and total phenolics. We also observed consistent directionality of environment‐trait correlations across resolutions with generally higher predictive capacity of our environment‐traits models at coarser resolutions. Among the seven traits, total phenolics, fiber, and lignin were strongly influenced by environmental factors (model R2 > 0.5 at 1,000 m). Calcium, sugars, and nitrogen were significantly affected by site conditions, incorporating site as a fixed effect largely improved model performance. LMA showed little dependence on environmental factors or site conditions, suggesting a stronger influence of species composition and site history on LMA variation. Our results show that reliable trait‐trait relationships can be identified in coarse resolution imagery, but that local scale trait‐trait relationships (resolutions finer than 30 m) are not sensitive to broad‐scale abiotic/biotic factors.

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Importance of AVIRIS-NG data in assessing the assemblage of guilds of tropical trees over a contrasting climate

Cited by 2 publications

References 60 publications

Integrating field- and remote sensing data to perceive species heterogeneity across a climate gradient

Integrating field- and remote sensing data to perceive species heterogeneity across a climate gradient

Variability in Forest Plant Traits Along the Western Ghats of India and Their Environmental Drivers at Different Resolutions

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