Sustainable Management of Natural Resources at Disaggregated Levels with Insights from Landscape Dynamics
The burgeoning population, coupled with the resource demand and alterations in the climatic regime, have been posing serious challenges for the sustenance of natural resources. Natural Resource Rich Regions (NRRRs) are areas endowed with abundant natural resources, which maintain ecological balance...
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Universitas Muhammadiyah Surakarta
2025-07-01
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| Series: | Forum Geografi |
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| Online Access: | https://journals2.ums.ac.id/index.php/fg/article/view/6857 |
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| author | T V Ramachandra Paras Negi Tulika Mondal Bharath Settur |
| author_facet | T V Ramachandra Paras Negi Tulika Mondal Bharath Settur |
| author_sort | T V Ramachandra |
| collection | DOAJ |
| description | The burgeoning population, coupled with the resource demand and alterations in the climatic regime, have been posing serious challenges for the sustenance of natural resources. Natural Resource Rich Regions (NRRRs) are areas endowed with abundant natural resources, which maintain ecological balance and economic activities. These regions are pivotal for supporting the livelihoods of local communities by providing essential ecosystem services and resources. However, land degradations leading to deforestation due to unplanned developmental activities have escalated carbon footprint, aggravated the vagaries of the climate, and posed significant challenges, especially for communities reliant on fragile, arid, and semi-arid ecosystems. The nexus of socio-economic disparity, persistent poverty, and unplanned developmental activities often poses severe challenges for realizing full economic potential with environmental sustainability. Land use (LU) changes with urbanization and agricultural expansion lead to fragmentation, habitat loss, decline of native species, and disruption of ecological processes with a potential decline of biodiversity. The arid region in the northern part of Karnataka, located in Southern India, has been experiencing a sharp decline in the groundwater table due to frequent droughts and excessive groundwater extraction. The current study unveils actionable solutions for sustainable management of natural resource-rich regions by meticulously analyzing the nexus between rap-id development, LU modifications, and their subsequent environmental ramifications. LU transitions are quantified using temporal-spatial data acquired through space-borne sensors through supervised machine learning classifiers based on the non-parametric algorithm Random Forest (RF). Land use dynamics assessment reveals that paved surfaces (area under buildings, roads) have increased from 186.22 sq. km (in 1973) to 1085.12 sq. km (in 2022). The study area has degraded forest patches, and the estimation through fragmentation metrics reveals that the intact forest has shown a decline from 3252.39 sq. km (1973) to 1508.12 sq. km (2022). The forests have continuously decreased from 2,154.20 sq. km (1973) to 1,096.34 sq. km (2022). Prioritization of NRRRs in Northern Karnataka comprises area under highly resource-rich regions NRRR1 (67 grids) and NRRR2 (127 grids), NRRR3 (304 grids) moderate & NRRR4 (522 grids) with fewer resources. The prioritization of natural resource-rich regions emphasizes the need for prudent land management strategies, with holistic and integrated approaches considering social, economic, and environmental issues with degrees of sensitivity across arid regions. |
| format | Article |
| id | doaj-art-4fdcb29a3185478e9dd1c22ae5ce901f |
| institution | DOAJ |
| issn | 0852-0682 2460-3945 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Universitas Muhammadiyah Surakarta |
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| series | Forum Geografi |
| spelling | doaj-art-4fdcb29a3185478e9dd1c22ae5ce901f2025-08-20T02:48:57ZengUniversitas Muhammadiyah SurakartaForum Geografi0852-06822460-39452025-07-0139213616210.23917/forgeo.v39i2.68576889Sustainable Management of Natural Resources at Disaggregated Levels with Insights from Landscape DynamicsT V Ramachandra0Paras Negi1Tulika Mondal2Bharath Settur3Energy & Wetlands Research Group, CES TE 15, Environmental Information System, Center for Ecological Sciences [CES], Indian Institute of Science, New Bioscience Building, Third Floor, E-Wing, [Near D-Gate], Bangalore 560012. Centre for Sustainable Technologies (Astra), Indian Institute of Science, Bangalore 560012, India. Centre for Infrastructure, Sustainable Transportation and Urban Planning [CiSTUP], Indian Institute of Science, Bangalore, Karnataka 560012Energy & Wetlands Research Group, CES TE 15, Environmental Information System, Center for Ecological Sciences [CES], Indian Institute of Science, New Bioscience Building, Third Floor, E-Wing, [Near D-Gate], Bangalore 560012Energy & Wetlands Research Group, CES TE 15, Environmental Information System, Center for Ecological Sciences [CES], Indian Institute of Science, New Bioscience Building, Third Floor, E-Wing, [Near D-Gate], Bangalore 560012Energy & Wetlands Research Group, CES TE 15, Environmental Information System, Center for Ecological Sciences [CES], Indian Institute of Science, New Bioscience Building, Third Floor, E-Wing, [Near D-Gate], Bangalore 560012. School of Mathematics and Natural Sciences, Chanakya University, Bengaluru, Karnataka, India.The burgeoning population, coupled with the resource demand and alterations in the climatic regime, have been posing serious challenges for the sustenance of natural resources. Natural Resource Rich Regions (NRRRs) are areas endowed with abundant natural resources, which maintain ecological balance and economic activities. These regions are pivotal for supporting the livelihoods of local communities by providing essential ecosystem services and resources. However, land degradations leading to deforestation due to unplanned developmental activities have escalated carbon footprint, aggravated the vagaries of the climate, and posed significant challenges, especially for communities reliant on fragile, arid, and semi-arid ecosystems. The nexus of socio-economic disparity, persistent poverty, and unplanned developmental activities often poses severe challenges for realizing full economic potential with environmental sustainability. Land use (LU) changes with urbanization and agricultural expansion lead to fragmentation, habitat loss, decline of native species, and disruption of ecological processes with a potential decline of biodiversity. The arid region in the northern part of Karnataka, located in Southern India, has been experiencing a sharp decline in the groundwater table due to frequent droughts and excessive groundwater extraction. The current study unveils actionable solutions for sustainable management of natural resource-rich regions by meticulously analyzing the nexus between rap-id development, LU modifications, and their subsequent environmental ramifications. LU transitions are quantified using temporal-spatial data acquired through space-borne sensors through supervised machine learning classifiers based on the non-parametric algorithm Random Forest (RF). Land use dynamics assessment reveals that paved surfaces (area under buildings, roads) have increased from 186.22 sq. km (in 1973) to 1085.12 sq. km (in 2022). The study area has degraded forest patches, and the estimation through fragmentation metrics reveals that the intact forest has shown a decline from 3252.39 sq. km (1973) to 1508.12 sq. km (2022). The forests have continuously decreased from 2,154.20 sq. km (1973) to 1,096.34 sq. km (2022). Prioritization of NRRRs in Northern Karnataka comprises area under highly resource-rich regions NRRR1 (67 grids) and NRRR2 (127 grids), NRRR3 (304 grids) moderate & NRRR4 (522 grids) with fewer resources. The prioritization of natural resource-rich regions emphasizes the need for prudent land management strategies, with holistic and integrated approaches considering social, economic, and environmental issues with degrees of sensitivity across arid regions.https://journals2.ums.ac.id/index.php/fg/article/view/6857natural resource rich regionsarid regionsland use land cover (lulc)machine learning (ml)random forest (rf)modelling |
| spellingShingle | T V Ramachandra Paras Negi Tulika Mondal Bharath Settur Sustainable Management of Natural Resources at Disaggregated Levels with Insights from Landscape Dynamics Forum Geografi natural resource rich regions arid regions land use land cover (lulc) machine learning (ml) random forest (rf) modelling |
| title | Sustainable Management of Natural Resources at Disaggregated Levels with Insights from Landscape Dynamics |
| title_full | Sustainable Management of Natural Resources at Disaggregated Levels with Insights from Landscape Dynamics |
| title_fullStr | Sustainable Management of Natural Resources at Disaggregated Levels with Insights from Landscape Dynamics |
| title_full_unstemmed | Sustainable Management of Natural Resources at Disaggregated Levels with Insights from Landscape Dynamics |
| title_short | Sustainable Management of Natural Resources at Disaggregated Levels with Insights from Landscape Dynamics |
| title_sort | sustainable management of natural resources at disaggregated levels with insights from landscape dynamics |
| topic | natural resource rich regions arid regions land use land cover (lulc) machine learning (ml) random forest (rf) modelling |
| url | https://journals2.ums.ac.id/index.php/fg/article/view/6857 |
| work_keys_str_mv | AT tvramachandra sustainablemanagementofnaturalresourcesatdisaggregatedlevelswithinsightsfromlandscapedynamics AT parasnegi sustainablemanagementofnaturalresourcesatdisaggregatedlevelswithinsightsfromlandscapedynamics AT tulikamondal sustainablemanagementofnaturalresourcesatdisaggregatedlevelswithinsightsfromlandscapedynamics AT bharathsettur sustainablemanagementofnaturalresourcesatdisaggregatedlevelswithinsightsfromlandscapedynamics |