Data Collection Survey on Forest Conservation in Mahavir Swami Wildlife Sanctuary for Addressing Climate Change

Avtorji

  • Pankaj Lavania Department of Silviculture & Agroforestry
  • Garima Gupta Department of Silviculture & Agroforestry
  • Pavan Kumar Department of Forest Biology & Tree Improvement, College of Horticulture and Forestry, Rani Lakshmi Bai Central Agricultural University, Jhansi, India https://orcid.org/0000-0003-3653-8163
  • K.K. Singh Addl PPCF, Forest Department, Uttar Pradesh, India
  • Prabhat Tiwari Department of Silviculture & Agroforestry, College of Horticulture and Forestry, Rani Lakshmi Bai Central Agricultural University, Jhansi, India
  • Manmohan Dobriyal Department of Silviculture & Agroforestry, College of Horticulture and Forestry, Rani Lakshmi Bai Central Agricultural University, Jhansi, India
  • A.K. Pandey College of Horticulture, Central Agricultural University, Bermiok, Sikkim, India
  • Manish Srivastav College of Horticulture and Forestry, Rani Lakshmi Bai Central Agricultural University, Jhansi, India

Ključne besede:

biodiversity, data collection, Mahavir Swami Wildlife Sanctuary, dbh, height

Povzetek

Tropical forest serves as an important pivotal role in terrestrial biological diversity. The tropical forest acts as munificence for the life forms living in the tropics, by providing habitat conditions and natural resources. Tree parameter measurement is an important part of forest resource monitoring. The Data Collection Survey on Forest Conservation aims to provide a comprehensive analysis of the current state of forests and evaluate the effectiveness of conservation efforts. This survey integrates advanced data collection methods, including remote sensing and Geographic Information Systems (GIS), to monitor forest health, biodiversity, and threats. Key findings highlight critical areas of biodiversity that require targeted conservation, the pervasive threats from illegal logging and climate change, and the significance of community involvement in conservation initiatives. This study makes an attempt to data collection surveying methods to assess forest management in Mahavir Swami Wildlife Sanctuary (MSWS), Lalitpur, UP, India, using Sentinel-2A sensor data. We selected tree samples from thirty transects in MSWS through random sampling. A method of collecting tree measurement factors based on height and DBH with a variety of high-precision methods is proposed. The data collection survey used in this study can help forest managers, environmentalist, and conservationist for formulating policies for management of forest ecosystem at various scales.

Prenosi

Podatki o prenosih še niso na voljo.

Literatura

Achard, F., Eva, H.D., Stibig, H.J., Mayaux, P., Gallego, J., Richards, T., & Malingreau, J.P. (2002). Determination of deforestation rates of the world's humid tropical forests. Science, 297(5583), 999-1002.

Baatz, M., Benz, U., Dehghani, S., Heynen, M., Höltje, A., Hofmann, P., Lingenfelder, I., Mimler, M., Sohlbach, M., Weber, M. and Willhauck, G. (2004). eCognition user guide. Definiens Imaging GmbH, Munich, Germany.

Barrett, T. (2014). Storage and flux of carbon in live trees, snags, and logs in the Chugach and Tongass National Forests. Gen. Tech. Rep. PNW-GTR-889. Portland, OR: US Department of Agriculture, Forest Service, Pacific Northwest Research Station. 44 p., 889.

Barrett, T. M., & Christensen, G. A. (2011). Forests of Southeast and South-Central Alaska, 2004–2008: Five-year forest inventory and analysis report. Gen. Tech. Rep. PNW-GTR-835. Portland, OR: US Department of Agriculture, Forest Service, Pacific Northwest Research Station. 156 p., 835.

Beets, P.N., Kimberley, M.O., Oliver, G.R., & Pearce, S.H. (2014). The application of stem analysis methods to estimate carbon sequestration in arboreal shrubs from a single measurement of field plots. Forests, 5(5), 919-935.

Berg, S., & Lindholm, E.L. (2005). Energy use and environmental impacts of forest operations in Sweden. Journal of Cleaner Production, 13(1), 33-42.

Blaschke, T. (2010). Object based image analysis for remote sensing. ISPRS journal of photogrammetry and remote sensing, 65(1), 2-16.

Blaschke, T. (2010). Object based image analysis for remote sensing. ISPRS journal of photogrammetry and remote sensing, 65(1), 2-16.

Boudreau, J., Nelson, R. F., Margolis, H. A., Beaudoin, A., Guindon, L., &Kimes, D. S. (2008). Regional aboveground forest biomass using airborne and spaceborne LiDAR in Québec. Remote Sensing of Environment, 112(10), 3876-3890.

Brown, S., Gillespie, A.J., & Lugo, A.E. (1989). Biomass estimation methods for tropical forests with applications to forest inventory data. Forest science, 35(4), 881-902.

Chako, V.K. (1965). A Manual of Sampling Technology for Forest Survey, Manager.

Chave, J., Andalo, C., Brown, S., Cairns, M.A., Chambers, J.Q., Eamus, D., Fölster, H., Fromard, F., Higuchi, N., Kira, T., & Lescure, J.P. (2005). Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia, 145(1), 87-99.

Clerici, N., Rubiano, K., Abd-Elrahman, A., Posada Hoestettler, J.M., & Escobedo, F.J. (2016). Estimating aboveground biomass and carbon stocks in periurban Andean secondary forests using very high resolution imagery. Forests, 7(7), 138.

Glenn, E., Huete, A., Nagler, P., & Nelson, S. (2008). Relationship between remotely-sensed vegetation indices, canopy attributes and plant physiological processes: What vegetation indices can and cannot tell us about the landscape. Sensors, 8(4), 2136-2160.

Hossain, M., Saha, C., Abdullah, S.R., Saha, S., & Siddique, M.R.H. (2016). Allometric biomass, nutrient and carbon stock models for Kandelia candel of the Sundarbans, Bangladesh. Trees, 30(3), 709-717.

Kebede, B., & Soromessa, T. (2018). Allometric equations for aboveground biomass estimation of Olea europaea L. subsp. cuspidata in Mana Angetu Forest. Ecosystem Health and Sustainability, 4(1), 1-12.

Kumar, P., Dobriyal, M., Kale, A., & Pandey, A. K. (2021). Temporal dynamics change of land use/land cover in Jhansi district of Uttar Pradesh over past 20 years using LANDSAT TM, ETM+ and OLI sensors. Remote Sensing Applications: Society and Environment, 23, 100579.

Kumar, P., Dobriyal, M., Kale, A., Pandey, A. K., Tomar, R. S., & Thounaojam, E. (2022). Calculating forest species diversity with information-theory based indices using sentinel-2A sensor’s of Mahavir Swami Wildlife Sanctuary. PLoS One, 17(5), e0268018.

Kumar, P., Pandey, P. C., Kumar, V., Singh, B. K., Tomar, V., & Rani, M. (2014). Efficient recognition of forest species biodiversity by inventory-based geospatial approach using LISS IV sensor. IEEE Sensors Journal, 15(3), 1884-1891.

Kumar, P., Pandey, P. C., Singh, B. K., Katiyar, S., Mandal, V. P., Rani, M., ... & Patairiya, S. (2016). Estimation of accumulated soil organic carbon stock in tropical forest using geospatial strategy. The Egyptian Journal of Remote Sensing and Space Science, 19(1), 109-123.

Kumar, P., Sajjad, H., Mahanta, K. K., Ahmed, R., & Mandal, V. P. (2018). Assessing suitability of allometric models for predicting stem volume of Anogeissus pendula Edgew in sariska Tiger Reserve, India. Remote Sensing Applications: Society and Environment, 10, 47-55.

Kumar, P., Sajjad, H., Mahanta, K.K., Ahmed, R., & Mandal, V.P. (2018). Assessing suitability of allometric models for predicting stem volume of Anogeissus pendula Edgew in sariska Tiger Reserve, India. Remote Sensing Applications: Society and Environment, 10, 47-55.

Kumar, P., Sajjad, H., Tripathy, B. R., Ahmed, R., & Mandal, V. P. (2018). Prediction of spatial soil organic carbon distribution using Sentinel-2A and field inventory data in Sariska Tiger Reserve. Natural Hazards, 90, 693-704.

Kumar, P., Sharma, L. K., Pandey, P. C., Sinha, S., & Nathawat, M. S. (2012). Geospatial strategy for tropical forest-wildlife reserve biomass estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(2), 917-923.

Kumar, P., Sharma, L.K., Pandey, P.C., Sinha, S., & Nathawat, M.S. (2013). Geospatial strategy for tropical forest-wildlife reserve biomass estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(2), 917-923.

Mitchard, E.T.A., Saatchi, S.S., White, L.J.T., Abernethy, K.A., Jeffery, K.J., Lewis, S.L., Collins, M., Lefsky, M.A., Leal, M.E., Woodhouse, I.H., & Meir, P. (2011). Mapping tropical forest biomass with radar and spaceborne LiDAR: overcoming problems of high biomass and persistent cloud. Biogeosciences Discussions, 8(4).

Oberthür, S., & Ott, H.E. (1999). The Kyoto Protocol: international climate policy for the 21st century. Springer Science & Business Media.

Otukei, J.R., & Emanuel, M. (2015). Estimation and mapping of above ground biomass and carbon of Bwindi impenetrable National Park using ALOS PALSAR data. South African Journal of Geomatics, 4(1), 1-13.

Popescu, S.C., Wynne, R.H., & Nelson, R.F. (2003). Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass. Canadian journal of remote sensing, 29(5), 564-577.

Segura, M., & Kanninen, M. (2005). Allometric Models for Tree Volume and Total Aboveground Biomass in a Tropical Humid Forest in Costa Rica 1. Biotropica: The Journal of Biology and Conservation, 37(1), 2-8.

Singh, R. K., Singh, P., Drews, M., *Kumar, P., Singh, H., Gupta, A. K., ... & Kumar, M. (2021). A machine learning-based classification of LANDSAT images to map land use and land cover of India. Remote Sensing Applications: Society and Environment, 24, 100624.

Vargas-Larreta, B., López-Sánchez, C.A., Corral-Rivas, J.J., López-Martínez, J.O., Aguirre-Calderón, C.G., & Álvarez-González, J.G. (2017). Allometric equations for estimating biomass and carbon stocks in the temperate forests of North-Western Mexico. Forests, 8(8), 269.

Vashum, K.T., & Jayakumar, S. (2012). Methods to estimate above-ground biomass and carbon stock in natural forests-A review. J. Ecosyst. Ecogr, 2(4), 1-7.

Objavljeno

2024-06-17 — posodobljeno 2024-06-19

Verzije

Kako citirati

Lavania, P., Gupta, G., Kumar, P., Singh, K., Tiwari, P., Dobriyal, M., Pandey, A., & Srivastav, M. (2024). Data Collection Survey on Forest Conservation in Mahavir Swami Wildlife Sanctuary for Addressing Climate Change. Hacquetia. Pridobljeno od https://ojs.zrc-sazu.si/hacquetia/article/view/11658 (Original work published 17. junij 2024)

Številka

Rubrike

Articles