Ecosystem-atmosphere carbon and water exchanges of subtropical evergreen and deciduous forests in India

Burman, Pramit Kumar Deb; Launiainen, Samuli; Mukherjee, Sandipan; Chakraborty, Supriyo; Gogoi, Nirmali; Murkute, Charuta; Lohani, Priyanka; Sarma, Dipankar; Kumar, Kireet

doi:10.1016/j.foreco.2021.119371

Cited by 16 publications

(8 citation statements)

References 99 publications

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“…In this context, we select the following three major forested regions in India as our study areas for a focused analysis of their carbon uptake in future climate change. Eastern Himalaya [25.5, 26.5]°N & [93, 94]°E (Deb Burman et al., 2021) Western Himalaya [29.5, 30.5]°N & [78, 79]°E (Deb Burman et al., 2021) Central India [21.5, 22.5]°N & [77, 78]°E (Rodda et al., 2021) …”

Section: Methodsmentioning

confidence: 99%

Investigating Terrestrial Carbon Uptake Over India Using Multimodel Simulations of Gross Primary Productivity and Satellite‐Based Biophysical Product

Uchale,

Deb Burman,

Tiwari

et al. 2023

JGR Biogeosciences

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Terrestrial ecosystems play a central role in the global carbon cycle and climate mitigation due to their offering of a large carbon sink. More than one‐fifth of the geographical area of India, one of the largest nations on the Earth, is forested, which is highly diverse in vegetation and climate types, offers huge potential for carbon sequestration, but remains vulnerable to climate change. Hence, it is imperative to know the future changes in the terrestrial carbon budget over this region. Gross primary productivity (GPP) represents the carbon uptake by terrestrial ecosystems. The multimodel ensembles of GPP simulated by the sixth phase of the Coupled Model Intercomparison Project (CMIP6) provide a useful means in this regard. In this work, we study the strength and variability of GPP over India in the near‐past and future using these simulations. In future, all the models show an increasing trend in GPP, however, with widely varying trends. The preferred month of carbon uptake differs among the models. A comparison with a satellite biophysical record shows the models underestimated the GPP during the near‐past over India. The carbon uptake in the Eastern Himalaya dominates the Western Himalaya and central Indian regions. Specifically, till 2100, the growth rate of GPP varies from 4.9 to 16.69 gC m−2 y−2, from 2.47 to 18.91 gC m−2 y−2, and from 0.32 to 21.95 gC m−2 y−2 over these three regions, respectively.

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Section: Methodsmentioning

confidence: 99%

Investigating Terrestrial Carbon Uptake Over India Using Multimodel Simulations of Gross Primary Productivity and Satellite‐Based Biophysical Product

Uchale,

Deb Burman,

Tiwari

et al. 2023

JGR Biogeosciences

Self Cite

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“…Climate change has emerged as a major global threat, with forests playing a major role in regulating and alleviating its impacts by lowering the levels of atmospheric CO 2 [ [1] , [2] , [3] , [4] ]. Forests, the world's largest carbon sinks, aid in mitigating climate change via carbon sequestration.…”

Section: Introductionmentioning

confidence: 99%

Combo chloro-photosynthetic device and applications for greenhouse gas reduction campaign and smart agriculture

Khampa,

Boontanon,

Aroonsrimorakot

et al. 2024

Heliyon

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“…Many studies showed that the spatial distributions of evergreen and deciduous forests have been changing and will continue to change in the future, driven by multiple stressors involving climate change, forest disturbance, land-use change, and invasive species (Knott et al 2019;Mekonnen et al 2019;Soh et al 95 2019). Accurate distribution information of evergreen and deciduous forests types is also needed to reduce the uncertainty in the carbon budgets (Deb Burman et al 2021). With the development of Earth observation technology, some efforts have been carried out to produce forest type datasets based on multiple spaceborne or/and airborne images (Kushwaha 1990;Laurin et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Annual forest maps in the contiguous United States during 2015–2017 from analyses of PALSAR-2 and Landsat images

Wang

Xiao²,

Qin³

et al. 2023

Preprint

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Abstract. Annual forest maps at a high spatial resolution are necessary for forest management and conservation. Large uncertainties remain among the existing forest maps, because of different forest definitions, satellite datasets, in-situ training datasets, and mapping algorithms. In this study, we generated annual forest maps and evergreen forest maps at a 30-m resolution in the Contiguous United States (CONUS) during 2015–2017 by integrating microwave data (Phased Array type L-band Synthetic Aperture Radar (PALSAR-2)) and optical data (Landsat) using Knowledge-based algorithms. The resultant PALSAR-2/Landsat-based forest maps (PL-Forest) were compared with five major forest datasets in the CONUS: (1) the Landsat tree canopy cover from Global Forest Watch datasets (GFW-Forest), (2) the Landsat Vegetation Continuous Field datasets (Landsat VCF-Forest), (3) the National Land Cover Database 2016 (NLCD-Forest), (4) the Japan Aerospace Exploration Agency (JAXA) forest maps (JAXA-Forest), and (5) the Forest Inventory and Analysis (FIA) data from the USDA Forest Service (FIA-Forest). The forest structure data (tree canopy height and canopy coverage) derived from the lidar observations of the Geoscience Laser Altimetry System (GLAS) onboard of NASA's Ice, Cloud, and land Elevation Satellite (ICESat-1) were used to assess the five forest datasets derived from satellite images. Using the forest definition by the Food and Agricultural Organization (FAO) of the United Nations, more forest pixels from the PL-Forest maps meet the FAO’s forest definitions than the GFW-, Landsat VCF-, and JAXA-Forest datasets. Forest area estimates from the PL-Forest were close to those from the FIA-Forest statistics but higher than the GFW-Forest, NLCD-Forest and lower than the Landsat VCF-Forest, which highlights the potential of using both PL-Forest and FIA-Forest datasets to support the FAO's Global Forest Resources Assessment. Furthermore, the PL-based annual evergreen forest maps (PL-Evergreen Forest) showed reasonable consistency with the NLCD product. Together with our previous work in South America and monsoon Asia, this study further demonstrates the potential of integrating PALSAR and Landsat images for developing annual forest maps and forest-type maps at high spatial resolution across the scales from region to the globe, which could be used to support FAO Global Forest Resources Assessments. The PL-Forest and PL-Evergreen Forest datasets are publicly available at https://doi.org/10.6084/m9.figshare.21270261 (Wang et al., 2022).

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Ecosystem-atmosphere carbon and water exchanges of subtropical evergreen and deciduous forests in India

Cited by 16 publications

References 99 publications

Investigating Terrestrial Carbon Uptake Over India Using Multimodel Simulations of Gross Primary Productivity and Satellite‐Based Biophysical Product

Investigating Terrestrial Carbon Uptake Over India Using Multimodel Simulations of Gross Primary Productivity and Satellite‐Based Biophysical Product

Combo chloro-photosynthetic device and applications for greenhouse gas reduction campaign and smart agriculture

Annual forest maps in the contiguous United States during 2015–2017 from analyses of PALSAR-2 and Landsat images

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