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Monitoring land use/land cover change and high-altitude vegetation trends along with their climatic controls across the Central and Eastern Himalayas

Monitoring land use/land cover change and high-altitude vegetation trends along with their climatic controls across the Central and Eastern Himalayas
Monitoring land use/land cover change and high-altitude vegetation trends along with their climatic controls across the Central and Eastern Himalayas
Monitoring the spatial pattern of vegetation growth trends is important in the Central and Eastern Himalayas as many ecosystems in the Himalayas are sensitive to climatic change. The human-induced land use/land cover (LULC) changes are the potential driving forces for changes in ecosystems. This study employed MODIS (MCD12Q1) product to quantify the spatial pattern of LULC from 2001 to 2019. The long-term vegetation datasets (NDVI3g) (1982-2015) were utilized to estimate vegetation trends and climatic variables (e.g., precipitation, soil moisture, temperature, solar radiation) trends. The Mann-Kendall (τ) test and Theil-Sen’s slope were deployed for computing trends over vegetation (e.g., forests, shrublands, savannas, croplands, and grassland). The results showed a prominent large-scale greening trend of croplands (77% of area) and forests including shrublands, savannas, and grassland (42% of area), mostly across the Central (Nepal) Himalayas. The browning trends of forests were also evident, especially over the Eastern Himalaya (Bhutan). The greening trends of vegetation were mainly associated with climatic factors like precipitation and soil moisture, and the corresponding correlation coefficients (r) were 0.69 and 0.28, respectively at p-value ̼ 0.001. Additionally, temperature control on vegetation was found at higher elevation zones of the Central and Eastern Himalayas (r = 0.93, p-value ̼ 0.001), whereas browning trends of vegetation occurred due to temperature-induced moisture stress along with the decreasing trends of solar radiation, and a profound impact was seen over Bhutan. Human-induced land-use change (e.g., shifting cultivation, deforestation) was also attributed to declining vegetation growth since an increase in built-up area was noticed that mainly replaced the croplands and barren land over the study regions. Therefore, the quantification of vegetation trends is important for understanding and managing agriculture and forests ecosystems located in the high-altitude zone, and attention from ecologists and policymakers is required to monitor and manage vegetation in the Himalayas.
225-243
CRC Press
Parida, Bikash Ranjan
21c6f8e7-5d6c-4d46-86e3-4e7160b4d1b5
Sparsha, Shaily
8490f028-0f74-48bf-a04f-9742e6ddfa6a
Bar, Somnath
1e199d14-4020-46ef-9dfa-733fe5fa6082
Pandey, Arvind Chandra
ab1750bd-2338-41d4-bb66-b4e083f221eb
Kumar, Navneet
39575d58-54de-4759-9005-00fe1b0ad598
Parida, Bikash Ranjan
21c6f8e7-5d6c-4d46-86e3-4e7160b4d1b5
Sparsha, Shaily
8490f028-0f74-48bf-a04f-9742e6ddfa6a
Bar, Somnath
1e199d14-4020-46ef-9dfa-733fe5fa6082
Pandey, Arvind Chandra
ab1750bd-2338-41d4-bb66-b4e083f221eb
Kumar, Navneet
39575d58-54de-4759-9005-00fe1b0ad598

Parida, Bikash Ranjan, Sparsha, Shaily, Bar, Somnath, Pandey, Arvind Chandra and Kumar, Navneet (2022) Monitoring land use/land cover change and high-altitude vegetation trends along with their climatic controls across the Central and Eastern Himalayas. In, Handbook of Himalayan Ecosystems and Sustainability, Volume 1: Spatio-Temporal Monitoring of Forests and Climate. CRC Press, pp. 225-243. (doi:10.1201/9781003268383-15).

Record type: Book Section

Abstract

Monitoring the spatial pattern of vegetation growth trends is important in the Central and Eastern Himalayas as many ecosystems in the Himalayas are sensitive to climatic change. The human-induced land use/land cover (LULC) changes are the potential driving forces for changes in ecosystems. This study employed MODIS (MCD12Q1) product to quantify the spatial pattern of LULC from 2001 to 2019. The long-term vegetation datasets (NDVI3g) (1982-2015) were utilized to estimate vegetation trends and climatic variables (e.g., precipitation, soil moisture, temperature, solar radiation) trends. The Mann-Kendall (τ) test and Theil-Sen’s slope were deployed for computing trends over vegetation (e.g., forests, shrublands, savannas, croplands, and grassland). The results showed a prominent large-scale greening trend of croplands (77% of area) and forests including shrublands, savannas, and grassland (42% of area), mostly across the Central (Nepal) Himalayas. The browning trends of forests were also evident, especially over the Eastern Himalaya (Bhutan). The greening trends of vegetation were mainly associated with climatic factors like precipitation and soil moisture, and the corresponding correlation coefficients (r) were 0.69 and 0.28, respectively at p-value ̼ 0.001. Additionally, temperature control on vegetation was found at higher elevation zones of the Central and Eastern Himalayas (r = 0.93, p-value ̼ 0.001), whereas browning trends of vegetation occurred due to temperature-induced moisture stress along with the decreasing trends of solar radiation, and a profound impact was seen over Bhutan. Human-induced land-use change (e.g., shifting cultivation, deforestation) was also attributed to declining vegetation growth since an increase in built-up area was noticed that mainly replaced the croplands and barren land over the study regions. Therefore, the quantification of vegetation trends is important for understanding and managing agriculture and forests ecosystems located in the high-altitude zone, and attention from ecologists and policymakers is required to monitor and manage vegetation in the Himalayas.

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Published date: 22 November 2022

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Local EPrints ID: 480427
URI: http://eprints.soton.ac.uk/id/eprint/480427
PURE UUID: 8802a3b4-4de4-48ca-8470-596421dac592
ORCID for Somnath Bar: ORCID iD orcid.org/0000-0003-1679-6130

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Date deposited: 02 Aug 2023 16:36
Last modified: 17 Mar 2024 04:21

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Contributors

Author: Bikash Ranjan Parida
Author: Shaily Sparsha
Author: Somnath Bar ORCID iD
Author: Arvind Chandra Pandey
Author: Navneet Kumar

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