Agriculture intensification and moisture-induced Thar desert greening: implications for energy balance, socio-economy, and biodiversity
Despite being the largest biome, landscape dynamics in drylands is largely under-explored. We investigate the changing landscape in the most inhabited desert – the Thar, for last two decades (2001–2020), its drivers, quantification of natural and anthropogenic control, future evolution and potential...
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Taylor & Francis Group
2025-12-01
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| Series: | GIScience & Remote Sensing |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/15481603.2025.2483458 |
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| author | Rahul Kashyap Jayanarayanan Kuttippurath Vikas Kumar Patel |
| author_facet | Rahul Kashyap Jayanarayanan Kuttippurath Vikas Kumar Patel |
| author_sort | Rahul Kashyap |
| collection | DOAJ |
| description | Despite being the largest biome, landscape dynamics in drylands is largely under-explored. We investigate the changing landscape in the most inhabited desert – the Thar, for last two decades (2001–2020), its drivers, quantification of natural and anthropogenic control, future evolution and potential implications. We employ a suite of advanced statistical and machine learning (ML) techniques on remote sensing and reanalyses data. We find that the Thar desert is greening in recent decades as evident in the increased surface greenness (28.4%), leaf area (21.7%), photosynthesis (33.5%) and productivity (22.9%). Enhanced moisture availability by precipitation (P, 29.7%) and soil moisture (SM, 4.5%) triggers this greening, predominantly in post-monsoon (September–November). This moisture-induced greening of Thar is driven by the westward shift of Indian Summer Monsoon (ISM) rainfall. Partial correlation reveals that SM has a stronger control on vegetation than P and the Granger Causality confirms that SM has a direct causal effect on vegetation in all seasons. The change detection analysis shows an increase in croplands (23.5%) at the expense of shrublands (−5.3%), as there are conversions of barren lands to shrublands and then shrublands to croplands aided by the enhanced water availability from irrigation (12.4% in 2000–2015) through canals and inland water bodies. Random Forest (RF) model reveals that climate change (60.7%) has a greater control on Thar greening than human influence (39.3%). Henceforth, the Thar desert is greening due to enhanced moisture availability and agriculture intensification, which is likely to get amplified in future and might substantially change the landscape of this “great desert” by the end of the 21st century. Greening of Thar can improve the socio-economic scenario and help to attain food security, but can be a great threat for the traditional agropastrolism, indigenous biodiversity and change the regional energy balance. |
| format | Article |
| id | doaj-art-4ae4791b2bec4919b4c3a0b1d7efb070 |
| institution | DOAJ |
| issn | 1548-1603 1943-7226 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | GIScience & Remote Sensing |
| spelling | doaj-art-4ae4791b2bec4919b4c3a0b1d7efb0702025-08-20T02:41:43ZengTaylor & Francis GroupGIScience & Remote Sensing1548-16031943-72262025-12-0162110.1080/15481603.2025.2483458Agriculture intensification and moisture-induced Thar desert greening: implications for energy balance, socio-economy, and biodiversityRahul Kashyap0Jayanarayanan Kuttippurath1Vikas Kumar Patel2CORAL, Indian Institute of Technology Kharagpur, IndiaCORAL, Indian Institute of Technology Kharagpur, IndiaCORAL, Indian Institute of Technology Kharagpur, IndiaDespite being the largest biome, landscape dynamics in drylands is largely under-explored. We investigate the changing landscape in the most inhabited desert – the Thar, for last two decades (2001–2020), its drivers, quantification of natural and anthropogenic control, future evolution and potential implications. We employ a suite of advanced statistical and machine learning (ML) techniques on remote sensing and reanalyses data. We find that the Thar desert is greening in recent decades as evident in the increased surface greenness (28.4%), leaf area (21.7%), photosynthesis (33.5%) and productivity (22.9%). Enhanced moisture availability by precipitation (P, 29.7%) and soil moisture (SM, 4.5%) triggers this greening, predominantly in post-monsoon (September–November). This moisture-induced greening of Thar is driven by the westward shift of Indian Summer Monsoon (ISM) rainfall. Partial correlation reveals that SM has a stronger control on vegetation than P and the Granger Causality confirms that SM has a direct causal effect on vegetation in all seasons. The change detection analysis shows an increase in croplands (23.5%) at the expense of shrublands (−5.3%), as there are conversions of barren lands to shrublands and then shrublands to croplands aided by the enhanced water availability from irrigation (12.4% in 2000–2015) through canals and inland water bodies. Random Forest (RF) model reveals that climate change (60.7%) has a greater control on Thar greening than human influence (39.3%). Henceforth, the Thar desert is greening due to enhanced moisture availability and agriculture intensification, which is likely to get amplified in future and might substantially change the landscape of this “great desert” by the end of the 21st century. Greening of Thar can improve the socio-economic scenario and help to attain food security, but can be a great threat for the traditional agropastrolism, indigenous biodiversity and change the regional energy balance.https://www.tandfonline.com/doi/10.1080/15481603.2025.2483458Thar desertdryland greeningmoisture availabilitydesert agriculturemachine learning |
| spellingShingle | Rahul Kashyap Jayanarayanan Kuttippurath Vikas Kumar Patel Agriculture intensification and moisture-induced Thar desert greening: implications for energy balance, socio-economy, and biodiversity GIScience & Remote Sensing Thar desert dryland greening moisture availability desert agriculture machine learning |
| title | Agriculture intensification and moisture-induced Thar desert greening: implications for energy balance, socio-economy, and biodiversity |
| title_full | Agriculture intensification and moisture-induced Thar desert greening: implications for energy balance, socio-economy, and biodiversity |
| title_fullStr | Agriculture intensification and moisture-induced Thar desert greening: implications for energy balance, socio-economy, and biodiversity |
| title_full_unstemmed | Agriculture intensification and moisture-induced Thar desert greening: implications for energy balance, socio-economy, and biodiversity |
| title_short | Agriculture intensification and moisture-induced Thar desert greening: implications for energy balance, socio-economy, and biodiversity |
| title_sort | agriculture intensification and moisture induced thar desert greening implications for energy balance socio economy and biodiversity |
| topic | Thar desert dryland greening moisture availability desert agriculture machine learning |
| url | https://www.tandfonline.com/doi/10.1080/15481603.2025.2483458 |
| work_keys_str_mv | AT rahulkashyap agricultureintensificationandmoistureinducedthardesertgreeningimplicationsforenergybalancesocioeconomyandbiodiversity AT jayanarayanankuttippurath agricultureintensificationandmoistureinducedthardesertgreeningimplicationsforenergybalancesocioeconomyandbiodiversity AT vikaskumarpatel agricultureintensificationandmoistureinducedthardesertgreeningimplicationsforenergybalancesocioeconomyandbiodiversity |