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Mehta, Nirav
- Tree Cover and Diversity Modulate the Response of Carbon Storage to Precipitation Variability in an Indian Semi-Arid Forest
Abstract Views :162 |
PDF Views:85
Authors
Affiliations
1 Ecology Laboratory, Department of Botany, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara 390 002, IN
2 Institute Center for Water and Environment (iWATER), Masdar Institute of Science and Technology, PO Box 54224, Abu Dhabi, AE
3 University of Wisconsin-Madison, Department of Atmospheric and Oceanic Sciences, 1225 W Dayton St, AOSS 1549, Madison, WI 53706, US
1 Ecology Laboratory, Department of Botany, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara 390 002, IN
2 Institute Center for Water and Environment (iWATER), Masdar Institute of Science and Technology, PO Box 54224, Abu Dhabi, AE
3 University of Wisconsin-Madison, Department of Atmospheric and Oceanic Sciences, 1225 W Dayton St, AOSS 1549, Madison, WI 53706, US
Source
Current Science, Vol 119, No 9 (2020), Pagination: 1517-1525Abstract
Water availability is the central limiting factor for vegetation carbon allocation in semi-arid forests. However, the sensitivity of this relationship likely varies as a function of total tree cover and tree diversity. In the present study, a set of re-measured semiarid forest plots in India were analysed to test how sensitive biomass, productivity and soil organic carbon (SOC) accumulation were to variability in precipitation from plot-level and remote sensing solarinduced fluorescence (SIF) measurements. Variability in mean precipitation at zones I and II impacted tree density, recorded as 150 and 400 trees ha–1 respectively. Results show that low tree cover plots had lower woody biomass NPP (NPPwood) and lower SIF sensitivity to inter-annual variation of precipitation. Increment in NPPwood over a five-year period was significantly smaller (P < 0.05) in zone I (0.21 Mg ha–1 year–1, CI95, 0.14–0.28) than at zone II (2.44 Mg ha–1 year–1, CI95, 1.43–3.45). Mean annual SOC increment at 0–5 cm depth varied between 0.13 and 0.75 Mg ha–1 year–1 across the study area. Results highlight the importance of tree cover diversity in modulating the response of semi-arid forests to carbon storage across a precipitation gradient.Keywords
Annual Rainfall, Carbon Storage, Precipitation Variability, Semi-arid Forest, Tree Cover And Diversity.Full Text
- Syncing Phenology Phase and Canopy Spectral Reflectance of Common Tree Species of Four Forest Covers in India
Abstract Views :202 |
PDF Views:91
Authors
Amrita N. Chaurasia
1,
Reshma M. Parmar
1,
Maulik G. Dave
1,
Nirav Mehta
1,
Rajesh Kallaje
2,
Aradhana Sahu
3,
Indu K. Murthy
4,
C. P. Singh
5,
N. S. R. Krishnayya
1
Affiliations
1 Ecology Laboratory, Department of Botany, The Maharaja Sayajirao University of Baroda, Vadodara 390 002, IN
2 Aranya Bhavan, Naya Raipur 492 001, IN
3 Kothi Building, Vadodara 390 001, IN
4 Centre for Sustainable Technologies, Indian Institute of Science, Bengaluru 560 012, IN
5 EPSA Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
1 Ecology Laboratory, Department of Botany, The Maharaja Sayajirao University of Baroda, Vadodara 390 002, IN
2 Aranya Bhavan, Naya Raipur 492 001, IN
3 Kothi Building, Vadodara 390 001, IN
4 Centre for Sustainable Technologies, Indian Institute of Science, Bengaluru 560 012, IN
5 EPSA Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
Source
Current Science, Vol 120, No 3 (2021), Pagination: 567-570Abstract
Variability in the leaf phenology of tropical trees impacts their growth. How phenology of tree species responds over rainfall gradient is relevant to study in the light of current climatic changes. Airborne visible and infrared imaging spectrometer-next generation (AVIRIS-NG) spectral datasets have been considered for this study as they not only provide wider area of coverage, but also high spatial and spectrally resolved output. Canopy-level spectra of 16 common species of four different forest covers in India were synced with observed phenology phase and the annual rainfall in each forest cover was recorded. Reflectance spectra of the same species in the four forest covers distinctively differed over rainfall gradient, indicating intra-species pliability. Consistent lower reflectance/higher absorp-tion at chlorophyll bands of all the common deciduous species in the higher annual rainfall region over that with relatively lower rainfall indicated that deciduous species acclimate green foliage phase of the phenology cycle. Boxplots of reflectance values of chlorophyll absorption band of 16 species showed a decrease in the variability of the datasets over the four forest co-vers, revealing that increasing rainfall provides better synchrony in the phenology phase of the observed tree species. The study highlights the importance of AVIRIS-NG spectral datasets in monitoring different phases of forest phenology associated with growth potential dynamics effectively under changing rainfall pattern.Keywords
Absorption Band, Canopy-level Spectra, Forest Cover, Phenology Phase, Rainfall Gradient, Tree Species.Full Text
References
- Wolkovich, E. M., Cook, B. I. and Davies, T. J., Progress towards an interdisciplinary science of plant phenology: building predictions across space, time and species diversity. New Phytol., 2014, 201, 1156–1162.
- Garonna, I., de Jong, R. and Schaepman, M. E., Variability and evo-lution of global land surface phenology over the past three decades (1982–2012). Global Change Biol., 2016, 22(4), 1456–1468.
- Dahlin, K. M., Spectral diversity area relationships for assessing bi-odiversity in a wildland–agriculture matrix. Ecol. Appl., 2016, 26, 2758–2768.
- Jha, C. S. et al., Characterization of species diversity and forest health using AVIRIS-NG hyperspectral remote sensing data. Hyper-spectral Imaging, 2019, 116, 12.
- Ollinger, S. V., Sources of variability in canopy reflectance and the convergent properties of plants. New Phytol., 2011, 189, 375–394.
- Hall, F. G., Shimabukuro, Y. E. and Huemmrich, K. F., Remote sensing of forest biophysical structure using mixture decomposition and geometric reflectance models. Ecol. Appl., 1995, 5, 993–1013.
- Rautiainen, M., Stenberg, P., Nilson, T. and Kuusk, A., The effect of crown shape on the reflectance of coniferous stands. Remote Sensing Environ., 2004, 89, 41–52.
- Funk, C. et al., The climate hazards infrared precipitation with sta-tions – a new environmental record for monitoring extremes. Sci. Data, 2015, 2, 1–21.
- Ustuner, M., Sanli, F. B. and Dixon, B., Application of support vec-tor machines for landuse classification using high-resolution rapid eye images: a sensitivity analysis. Eur. J. Remote Sensing, 2015, 48, 403–422.