IDEAS home Printed from https://ideas.repec.org/a/spr/masfgc/v26y2021i1d10.1007_s11027-021-09937-6.html
   My bibliography  Save this article

Assessing relationship of forest biophysical factors with NDVI for carbon management in key coniferous strata of temperate Himalayas

Author

Listed:
  • Akhlaq Amin Wani

    (Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir)

  • Amir Farooq Bhat

    (Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir)

  • Aaasif Ali Gatoo

    (Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir)

  • Shiba Zahoor

    (Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir)

  • Basira Mehraj

    (Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir)

  • Naveed Najam

    (Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir)

  • Qaisar Shafi Wani

    (Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir)

  • M A Islam

    (Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir)

  • Shah Murtaza

    (Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir)

  • Moonisa Aslam Dervash

    (Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir)

  • P K Joshi

    (Jawaharlal Nehru University)

Abstract

Assessing biophysical variables are essential for evaluation of carbon dynamics due to anthropogenic activities. Biomass carbon is an important biophysical parameter of forest ecosystems that indicates carbon mitigation and human–forest interactions. Spectral modeling approach was used to assess the relation of Normalized Difference Vegetation Index (NDVI) with biomass carbon, crown density, tree density, slope, altitude, aspect, species, and forest division in temperate conifer region of Himalaya. Field inventory was recorded from 188 biomass plots of 0.1 ha each across the study area. NDVI was observed to have a positive relation with aboveground biomass carbon, crown density, tree density, and altitude. The NDVI and ABC values ranged from (0.11 to 0.43) and (1.54 to 276.82 t ha−1), respectively. Among the aspects, highest and lowest average NDVI was observed for south east (0.289) and north (0.258), respectively. Similarly highest and lowest average aboveground biomass carbon was observed for north east (72.63 t ha−1) and east (44.30 t ha−1), respectively. NDVI expressed a fairly good relation with biophysical parameters including altitude, aspect, crown density, tree density, species, and location (forest division). NDVI using principal tree species composition (forest type) revealed a relation with aboveground biomass carbon for Cedrus deodara (R2 = 0.63), Mixed I (R2 = 0.61), Pinus wallichiana (R2 = 0.57), and Mixed-II (R2 = 0.48). NDVI demonstrates potential to understand biomass carbon variability through establishment of relations with forest biophysical parameters using spectral modeling approach. Varying NDVI can be ascribed to vegetation canopy density, number of stems, species, and altitude. The database and established relations would help indicate biomass carbon dynamics and enable to adopt site-specific management. The study further helps draw inferences on mitigation and adaptation perspectives in view of varying biophysical conditions that occur in a forest.

Suggested Citation

  • Akhlaq Amin Wani & Amir Farooq Bhat & Aaasif Ali Gatoo & Shiba Zahoor & Basira Mehraj & Naveed Najam & Qaisar Shafi Wani & M A Islam & Shah Murtaza & Moonisa Aslam Dervash & P K Joshi, 2021. "Assessing relationship of forest biophysical factors with NDVI for carbon management in key coniferous strata of temperate Himalayas," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(1), pages 1-22, January.
    • Handle: RePEc:spr:masfgc:v:26:y:2021:i:1:d:10.1007_s11027-021-09937-6
    DOI: 10.1007/s11027-021-09937-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11027-021-09937-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11027-021-09937-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Schoene, Dieter H.F. & Bernier, Pierre Y., 2012. "Adapting forestry and forests to climate change: A challenge to change the paradigm," Forest Policy and Economics, Elsevier, vol. 24(C), pages 12-19.
    2. Ahmad, Adnan & Liu, QI-Jing & Nizami, S.M. & Mannan, Abdul & Saeed, Sajjad, 2018. "Carbon emission from deforestation, forest degradation and wood harvest in the temperate region of Hindukush Himalaya, Pakistan between 1994 and 2016," Land Use Policy, Elsevier, vol. 78(C), pages 781-790.
    3. Meenakshi Kaul & G. Mohren & V. Dadhwal, 2010. "Carbon storage and sequestration potential of selected tree species in India," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 15(5), pages 489-510, June.
    4. R. B. Myneni & C. D. Keeling & C. J. Tucker & G. Asrar & R. R. Nemani, 1997. "Increased plant growth in the northern high latitudes from 1981 to 1991," Nature, Nature, vol. 386(6626), pages 698-702, April.
    5. Valentin Bellassen & Sebastiaan Luyssaert, 2014. "Carbon sequestration: Managing forests in uncertain times," Nature, Nature, vol. 506(7487), pages 153-155, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lizardo Reyna & Jarosław Lasota & Lizardo Reyna-Bowen & Lenin Vera-Montenegro & Emil Cristhian Vega-Ponce & Maria Luisa Izaguirre-Mayoral & Ewa Błońska, 2023. "A New Approach to Monitor Soil Microbial Driven C/N Ratio in Temperate Evergreen Coniferous Forests Managed via Sentinel-2 Spectral Imagery," Land, MDPI, vol. 12(2), pages 1-8, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ding, Yimin & Wang, Weiguang & Song, Ruiming & Shao, Quanxi & Jiao, Xiyun & Xing, Wanqiu, 2017. "Modeling spatial and temporal variability of the impact of climate change on rice irrigation water requirements in the middle and lower reaches of the Yangtze River, China," Agricultural Water Management, Elsevier, vol. 193(C), pages 89-101.
    2. Diyamandoglu, Vasil & Fortuna, Lorena M., 2015. "Deconstruction of wood-framed houses: Material recovery and environmental impact," Resources, Conservation & Recycling, Elsevier, vol. 100(C), pages 21-30.
    3. F. Nelson & O. Anisimov & N. Shiklomanov, 2002. "Climate Change and Hazard Zonation in the Circum-Arctic Permafrost Regions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 26(3), pages 203-225, July.
    4. Craig D. Idso, 2001. "Earth's Rising Atmospheric Co2 Concentration: Impacts on the Biosphere," Energy & Environment, , vol. 12(4), pages 287-310, July.
    5. Jörg Kaduk & Sietse Los, 2011. "Predicting the time of green up in temperate and boreal biomes," Climatic Change, Springer, vol. 107(3), pages 277-304, August.
    6. Patricia Arrogante-Funes & Carlos J. Novillo & Raúl Romero-Calcerrada, 2018. "Monitoring NDVI Inter-Annual Behavior in Mountain Areas of Mainland Spain (2001–2016)," Sustainability, MDPI, vol. 10(12), pages 1-24, November.
    7. Lausch, Angela & Salbach, Christoph & Schmidt, Andreas & Doktor, Daniel & Merbach, Ines & Pause, Marion, 2015. "Deriving phenology of barley with imaging hyperspectral remote sensing," Ecological Modelling, Elsevier, vol. 295(C), pages 123-135.
    8. Thomas, J. & Brunette, M. & Leblois, A., 2022. "The determinants of adapting forest management practices to climate change: Lessons from a survey of French private forest owners," Forest Policy and Economics, Elsevier, vol. 135(C).
    9. Christopher Galik & Brian Murray & Stephen Mitchell & Phil Cottle, 2016. "Alternative approaches for addressing non-permanence in carbon projects: an application to afforestation and reforestation under the Clean Development Mechanism," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 21(1), pages 101-118, January.
    10. Mette, Tobias & Albrecht, Axel & Ammer, Christian & Biber, Peter & Kohnle, Ulrich & Pretzsch, Hans, 2009. "Evaluation of the forest growth simulator SILVA on dominant trees in mature mixed Silver fir–Norway spruce stands in South-West Germany," Ecological Modelling, Elsevier, vol. 220(13), pages 1670-1680.
    11. Baranzini, Andrea & Borzykowski, Nicolas & Carattini, Stefano, 2018. "Carbon offsets out of the woods? Acceptability of domestic vs. international reforestation programmes in the lab," Journal of Forest Economics, Elsevier, vol. 32(C), pages 1-12.
    12. Gouhari, Saeeda & Forrest, Alan & Roberts, Michaela, 2021. "Cost-effectiveness analysis of forest ecosystem services in mountain areas in Afghanistan," Land Use Policy, Elsevier, vol. 108(C).
    13. Lund, Peter D., 2017. "Implications of Finland's plan to ban coal and cutting oil use," Energy Policy, Elsevier, vol. 108(C), pages 78-80.
    14. Shi, Yusheng & Sasai, Takahiro & Yamaguchi, Yasushi, 2014. "Spatio-temporal evaluation of carbon emissions from biomass burning in Southeast Asia during the period 2001–2010," Ecological Modelling, Elsevier, vol. 272(C), pages 98-115.
    15. Petros Ganatsas & Marianthi Tsakaldimi & Theodoros Karydopoulos & Lydia-Maria Petaloudi & Alexandros Papaemmanouil & Sotirios Papadopoulos & Sofia Gerochristou, 2022. "Carbon Pools in a 77 Year-Old Oak Forest under Conversion from Coppice to High Forest," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    16. Zongxing, Li & Qi, Feng & Zongjie, Li & Xufeng, Wang & Juan, Gui & Baijuan, Zhang & Yuchen, Li & Xiaohong, Deng & Jian, Xue & Wende, Gao & Anle, Yang & Fusen, Nan & Pengfei, Liang, 2021. "Reversing conflict between humans and the environment － The experience in the Qilian Mountains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    17. Kathuroju, Naven & White, Michael A. & Symanzik, Jürgen & Schwartz, Mark D. & Powell, James A. & Nemani, Ramakrishna R., 2007. "On the use of the advanced very high resolution radiometer for development of prognostic land surface phenology models," Ecological Modelling, Elsevier, vol. 201(2), pages 144-156.
    18. Andrea Baranzini & Nicolas Borzykowski & Stefano Carattini, 2016. "Carbon offsets out of the woods? The acceptability of domestic vs. international reforestation programmes," GRI Working Papers 257, Grantham Research Institute on Climate Change and the Environment.
    19. Mo, Yu & Momen, Bahram & Kearney, Michael S., 2015. "Quantifying moderate resolution remote sensing phenology of Louisiana coastal marshes," Ecological Modelling, Elsevier, vol. 312(C), pages 191-199.
    20. Richard Tol, 2013. "The economic impact of climate change in the 20th and 21st centuries," Climatic Change, Springer, vol. 117(4), pages 795-808, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:masfgc:v:26:y:2021:i:1:d:10.1007_s11027-021-09937-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.