Monitoring land use land cover changes in the Eastern Himalayan landscape of Nagaland, Northeast India

Ritse, Vimha; Basumatary, Himolin; Kulnu, Amenuo Susan; Dutta, Gitamani; Phukan, Mayur Mausoom; Hazarika, Nabajit

doi:10.1007/s10661-020-08674-8

Cited by 33 publications

(7 citation statements)

References 62 publications

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“…In Assam, Sikkim, and Manipur, low‐to‐moderate desertification has taken place. Arunachal Pradesh, Tripura, Meghalaya, Mizoram, and Nagaland are also to some extent under the degradation process due to increase in population pressure, land‐use change, shifting cultivation, petroleum extraction, and natural phenomenon such as floods (Ravindranath et al, 2011; Prokop & Poręba, 2012; Ritse, Basumatary, & Susan, 2020). However, the general trend of environmental qualities in this region has improved especially in Meghalaya, Mizoram, Sikkim, and Nagaland with practice of conservation agriculture, conservation of forests, and restoration of degraded lands (Ghosh et al, 2010; Kumar et al, 2019; Sengupta, 2020).…”

Section: Discussionmentioning

confidence: 99%

Monitoring land sensitivity to desertification using the ESAI approach and evaluation of the key indicators: A spatio‐temporal study in India

Rajbanshi

Das

2021

Land Degrad Dev

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Desertification is one of the primary environmental problems that negatively affect agricultural production leading to poverty, hunger, and economic instability in a country like India. A holistic study is therefore extremely valuable rather than localized ones for addressing this issue and its' further consequences. In this study, the environmentally sensitive area index (ESAI) has been used to identify the areas vulnerable to desertification from 1992 to 2015 in India. In addition to this, the random forest (RF) model was used to identify the drivers with major influence over the phenomenon. The result revealed that the desertification process has extended from the west and spread over the southern region in the Country. Among the states of India, Rajasthan and Ladakh possess the highest mean ESAI values (1.5–1.7), where 87.61% and 83.83% of land, respectively, are critically degraded due to desertification. According to the Mann‐Kendall mutation point detection test, the years of 1996, 2009, and 2014 were identified as the abrupt change of desertification processes over the Country. The most severe form of degradation is observed in the period between 1997 and 2009, where the highly sensitive (Critical‐3) area increased up to 37.44%. Based on variable importance for the RF‐model, drought resistance has the highest importance among all the other inputs that is, 46% followed by erosion protection with 20%. Our study also points out that 33.76% of the land of the Country is still classed under a very high critical zone and without any immediate action; it may result in irreversible loss.

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Section: Discussionmentioning

confidence: 99%

Monitoring land sensitivity to desertification using the ESAI approach and evaluation of the key indicators: A spatio‐temporal study in India

Rajbanshi

Das

2021

Land Degrad Dev

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“…Rainwater pH, Ca 2+ , Mg 2+ , and NH4 + at Jorhat was the highest among the northeastern hill stations reported in this study. Poor land management due to deforestation, jhum farming, soil erosion, low-quality soil-and-water conservation measures, and unplanned infrastructural development are among the key Land Use Land Cover (LULC) changes that possibly contributed to higher ionic concentrations of the above-mentioned species (Ritse et al, 2020). The highest average pH was reported from Kolkata in, 2019 (average = 6.80 ± 0.74, range 5.4-8.0) which was similar to those reported in 2013-2014 (average = 6.10 ± 1.40, range 4.4-6.9).…”

Section: Northeast Regionmentioning

confidence: 99%

Chemical Characteristics and Trends of Indian Summer Monsoon Rainfall: A Review

Majumdar

Samanta²,

Das³

2022

Aerosol Air Qual. Res.

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The Indian summer monsoon (ISM) regulates the pace of life for billions of people in the Indian subcontinent by driving the agriculture and Gross Domestic Product of the region. The chemical composition of ISM is influenced by pollutant type, meteorology, and topography. As a result, the chemical makeup of rainwater varies greatly across places. The current review article highlights the variations and trends of the principal chemical constituents of rainwater (Na + , K + , Ca 2+ , Mg 2+ , NH4 + , NO3 -, SO4 2-, and Cl -) across six homogeneous Indian monsoon regions: Central Northeast, Hilly, Northwest, Northeast, Peninsular and West Central region. Average rainwater pH ranged from 5.31 to 6.70 in these six regions. The incidence of acidic rain events at three separate locations in the Peninsular region suggests a significant impact of anthropogenic emissions. The chemical composition of rainwater in all these regions varied considerably and seemed to form a regional pattern. The majority of the ions in rainwater were highest in the Northwest while lowest in the Peninsular region. Clhad a significant correlation with Na + and NH4 + in the Hilly region, and with Na + and Mg 2+ in the West Central region suggesting it is sourced from both marine and anthropogenic sources. The soil Enrichment Factor relative to Ca 2+ demonstrated that soil has a significant effect on rainwater composition. Ca 2+ was determined to be the most abundant neutralizing ion in all the regions. Furthermore, the synthesis of rainwater chemistry reveals a strong relationship with dominant interannual climate variability El Niño Southern Oscillation with significantly higher concentrations of Na + , K + , Ca 2+ , Cl -, and SO4in rainwater during El Niño year compared to La Niña year.

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“…Changes in land use of Kashmir watersheds from unirrigated system (forests, barren land) to irrigated system, which consists of a variety of agricultural and horticultural activities, are extremely prevalent due to improved crop production and economic gain. Many studies of LULC in the Indian Himalayas have been conducted (Ritse et al 2020;Singh & Pandey 2021;Chakraborty & Saha 2022), but hardly any attempts have been made to study the changes in the available land resources of the study watersheds.…”

Section: Graphical Abstract Introductionmentioning

confidence: 99%

Assessing land use/land cover change detection of north-eastern watersheds of Kashmir valley using GIS and remote sensing techniques

Gull

Shah

Dar

2022

Water Practice and Technology

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Land use changes in the Kashmir Himalayas must be mapped and monitored for long-term development and efficient planning. This work uses geospatial technologies like Remote Sensing and Geographic Information System to track changes in Land cover trends in four main watersheds in the Kashmir Valley's north-eastern Himalayas from 2003 to 2013. Land cover maps were created using images from the Landsat-5 Thematic Mapper. The watershed's Land use/Land cover maps were created using supervised classification utilizing the Maximum Likelihood Classifier (MLC). Over the previous decade, the land use/land cover in the study watersheds has undergone a series of intricate changes as a result of deforestation, climate change, and agroforestry growth. A total of eleven major LULC classifications were discovered, indicating that forests are the most common land use in all four watersheds. Forest cover, river beds, water bodies, non-perennial snow, and glaciers have all decreased significantly, whereas Scrubland, horticulture, rock mass, built-up, barren land, and agriculture have all increased significantly, except for Sindh watershed, where Scrubland class has decreased by 5.97% from 2003 to 2013. The study's methodology and conclusions point to crucial policy implications for long-term LULC management in the Kashmir Himalayas' Madhumati, Arin, Sindh, and Lidder watersheds.

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Monitoring land use land cover changes in the Eastern Himalayan landscape of Nagaland, Northeast India

Cited by 33 publications

References 62 publications

Monitoring land sensitivity to desertification using the ESAI approach and evaluation of the key indicators: A spatio‐temporal study in India

Monitoring land sensitivity to desertification using the ESAI approach and evaluation of the key indicators: A spatio‐temporal study in India

Chemical Characteristics and Trends of Indian Summer Monsoon Rainfall: A Review

Assessing land use/land cover change detection of north-eastern watersheds of Kashmir valley using GIS and remote sensing techniques

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