Q.(a) “Generally land-use in a region is influenced by the nature of economic activities.” Support the statement with suitable examples.
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🔒 Start your 14-day free trial to unlock the full solution →Part (a)Concept understanding — Land Use Classification
Land Use Classification – From Intuition to Precision
Imagine you are looking down at a city from a tall building, or better yet, from a satellite image. What do you see? Patches of green parks, grey roads, clusters of houses, a blue lake, a factory with a tall chimney, a school with a playground, and fields of yellow wheat on the outskirts.
If you had to sort every single piece of land into a few buckets based on what is happening there, you would be doing land use classification. It is simply the human system of labelling land according to its primary purpose or function.
The Core Intuition
Land is a finite resource. We cannot make more of it. So, every society must decide: should this patch of earth grow food, house families, host a factory, or remain a forest? The way we answer that question is what we call land use.
The key idea is purpose. A forest that is left untouched for wildlife has a different land use from a forest that is systematically cut down for timber, even though both look green from above. The first is "conservation" or "forest cover"; the second is "commercial forestry" or "resource extraction". The physical cover (trees) is the same, but the use is different.
Do not confuse land use with land cover. Land cover is what physically covers the surface (water, grass, concrete, snow). Land use is why that land is being used that way. A grassy field could be a cricket ground (recreational use) or a grazing pasture (agricultural use) — same cover, different use.
The Precise Statement
Land Use Classification is the systematic categorisation of land into different classes based on its dominant socio-economic purpose. It is a tool used by geographers, planners, and governments to understand how human beings are utilising the available land, to track changes over time, and to plan for the future.
In India, the most widely used classification (by the Ministry of Agriculture and the Land Revenue Records) divides land into the following major categories:
| Category | What it includes | Why it matters |
|---|---|---|
| Forests | Land under actual forest cover, not orchards or scattered trees. | Ecological balance, biodiversity, climate regulation. |
| Land Not Available for Cultivation | Barren & unculturable land (deserts, rocky mountains) + Land used for non-agricultural purposes (buildings, roads, railways, canals). | Shows the land permanently lost to farming. |
Part (b)Concept understanding — Land Reforms Impact Analysis
Land Reforms Impact Analysis – First Principles
Imagine a farmer who has worked on the same plot of land for generations, but does not own it. The landlord takes half the harvest as rent. The farmer has no incentive to invest in better seeds or irrigation — any improvement only means the landlord can demand more. This is the problem land reforms were meant to solve.
Land reforms are government-led changes to how land is owned, distributed, and used. The most common types are:
- Abolition of intermediaries (removing zamindars, jagirdars, etc.)
- Tenancy reforms (giving security to tenants, regulating rent)
- Land ceiling (capping how much land one person can own, redistributing the surplus)
- Consolidation of holdings (merging scattered fragments into one block)
The impact analysis of land reforms asks: Did these policies actually achieve what they set out to do? It is not enough to pass a law — we must check whether the intended economic and social outcomes followed.
The Core Question
Land Reforms Impact Analysis is the systematic evaluation of whether land reform policies led to measurable changes in agricultural productivity, income distribution, rural poverty, and social equity — and why they succeeded or failed in specific contexts.
This is not a single formula. It is a framework that combines:
- Economic indicators (yield per hectare, farm size distribution, tenancy rates)
- Social indicators (landlessness, caste-based land ownership, women's access)
- Institutional factors (quality of land records, legal enforcement, political will)
Why Intuition Matters First
A common mistake is to assume that passing a land reform law automatically improves outcomes. The reality is messier.
Consider a state that imposes a land ceiling of 10 acres. A large landlord with 50 acres "transfers" 40 acres to relatives, servants, or even fictitious names. The land records show compliance, but the actual distribution of land has not changed. An impact analysis that only looks at the number of ceiling-surplus acres declared would miss this entirely.
Or take tenancy reform that gives tenants ownership rights. If the landlord evicts tenants before the law takes effect, the reform backfires — more landlessness, not less.
So the analysis must look beyond the law itself to:
- Implementation gaps — was the law actually enforced?
- Evasion strategies — how did powerful groups bypass the reform?
- Complementary inputs — did redistributed land come with credit, seeds, extension services?
- Time lags — some effects take a decade or more to show up in productivity data.
The Analytical Framework
A proper impact analysis typically examines four dimensions:
| Dimension | What it measures | Typical indicators |
|---|---|---|
| Productivity | Did output per acre change? | Yield, cropping intensity, input use |
| Equity | Did land ownership become more equal? | Gini coefficient of landholdings, share of landless |
| Poverty | Did the poorest benefit? | Rural income, consumption, asset ownership |
| Empowerment | Did social relations shift? | Tenure security, bargaining power, access to institutions |
Each dimension interacts with the others. Higher equity can boost productivity if former tenants now invest in their own land. But poorly designed reforms can reduce productivity if large, efficient farms are broken into tiny, uneconomic plots.
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Part (a)
Land-use in a region mirrors the dominant economic activity of the people who live there.
- Agrarian regions: where farming dominates, most land is cropped. In the Indo-Gangetic plains over 80% of the land is under cultivation of wheat, rice and sugarcane, with little left for forest or pasture.
- Industrial/mining regions: the Chotanagpur plateau (Jharkhand), rich in coal and iron ore, shows land under mining leases, steel plants and railway lines, with sparse and often degraded farmland.
- Service/urban regions: in metropolises like Mumbai and Delhi, services and manufacturing dominate, so land-use is overwhelmingly built-up — residential, commercial and transport — with negligible agriculture. …
Part (a): Land-use in any region reflects its dominant economic activity — farming, mining/industry or services each leave a distinct imprint on the land.
Part (b): Indian agriculture is burdened by physical constraints (erratic monsoon, poor soils, diverse climate) and institutional hindrances (fragmented holdings, poor credit, weak marketing), and neither can be solved in isolation.
Part (a)
The way land is used is never random; it is a direct response to how people earn their living. Where the main activity is farming, we see fields, canals and granaries; where it is mining, quarries and processing plants; where it is trade and services, offices, shops and transport hubs.
Agrarian regions. In the fertile Indo-Gangetic plains agriculture is the backbone of the economy and over 80% of the land is under cultivation — wheat, rice and sugarcane — leaving little for forest or pasture. In hilly Himachal Pradesh and Uttarakhand, horticulture (apple orchards) and tourism dominate, so land shows orchards, forests and resorts rather than intensive cereals.
Industrial and mining regions. On the Chotanagpur plateau in Jharkhand the economy runs on coal, iron ore and steel, so land-use is dominated by mining leases, industrial estates and railway lines, with farmland sparse and degraded. Coastal Kerala, where tourism, fishing and cash crops (rubber, spices, coconut) matter, shows beaches, backwater resorts, rubber plantations and coconut groves.
Service and urban regions. In Mumbai and Delhi the dominant activities are services and manufacturing, so the land is almost entirely built-up. Even within one city, the central business district carries high-rise offices and banks while the outskirts hold factories and warehouses. …
- CBSE 2026Set 64/3/11 markMCQQ.Which one of the following has classified 'wastelands' in India ? (A) Indian Space Research Organisation (B) Indian Institute of Remote Sensing (C) Regional Remote Sensing Centres (D) National Remote Sensing Centre
›Reveal solutionSolution
The National Remote Sensing Centre (NRSC) is the organisation that has classified wastelands in India.
Land use classification is a vital exercise for a country like India, where agriculture, forestry, and urban expansion compete for every hectare. Among the many categories of land, "wastelands" hold special significance — these are degraded or underutilised lands that could potentially be brought under cultivation, afforestation, or other productive use. But who actually maps and classifies these wastelands?
The answer lies with the National Remote Sensing Centre (NRSC), headquartered in Hyderabad. NRSC is the primary government agency responsible for remote sensing data acquisition, processing, and dissemination in India. It operates under the Indian Space Research Organisation (ISRO), but its specific mandate includes large-scale land use and land cover mapping.
NoteWhile ISRO is the parent organisation, the actual classification of wastelands is a project-level task executed by NRSC, not by ISRO headquarters itself.
NRSC has carried out multiple cycles of wasteland mapping using satellite imagery, most notably through the Wastelands Atlas of India. This atlas, prepared in collaboration with the Department of Land Resources, classifies wastelands into categories such as gullied land, scrubland, waterlogged areas, salt-affected land, and shifting cultivation areas. The classification is done at a very fine scale — often at 1:50,000 or even 1:10,000 — using high-resolution data from satellites like Resourcesat and Cartosat. …
- CBSE 2025Set 64/1/11 markMCQQ."Some wastelands are rendered unfit for agriculture by human activities." Choose the correct option related to the statement : i. Shifting cultivation area ii. Coastal plains iii. Degraded pastures iv. Bhabar areas Options : (A) Only ii (B) Both ii and iv (C) Only iii (D) Both i and iii
›Reveal solutionSolution
Wastelands rendered unfit for agriculture by human activities include areas degraded by unsustainable shifting cultivation and overgrazed pastures.
Land use classification helps us understand how different parts of the land are utilised and categorised. Within this framework, "wastelands" refer to land that is currently unproductive or unsuitable for cultivation. These wastelands can arise from natural causes or, significantly, from human activities that degrade the land over time. The statement highlights the latter: wastelands that become unfit for agriculture specifically due to human actions.
Let's examine the given options in this context:
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i. Shifting cultivation area: Shifting cultivation, also known as 'jhum' cultivation in some parts of India, is an agricultural practice where a patch of forest land is cleared, cultivated for a few years until its fertility declines, and then abandoned for a new patch. While it can be sustainable if practiced with long fallow periods, intensive or rapid shifting cultivation without sufficient time for natural regeneration leads to severe deforestation, soil erosion, loss of topsoil, and nutrient depletion. These human-induced changes render the land degraded and unfit for sustained agriculture.
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ii. Coastal plains: Coastal plains are naturally formed geographical features, typically fertile and often extensively used for agriculture due to their flat terrain and proximity to water. While human activities like industrial pollution, excessive groundwater extraction leading to salinisation, or construction can degrade specific parts of coastal plains, the term "coastal plains" itself does not inherently imply land rendered unfit for agriculture by human activities. Many coastal plains remain highly productive agricultural zones.
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iii. Degraded pastures: Pastures are lands used for grazing livestock. When these pastures are subjected to overgrazing – a direct human activity involving the management of livestock – the vegetation cover is excessively removed. This leads to soil compaction, reduced water infiltration, increased soil erosion, and a decline in soil fertility. Such land becomes "degraded" and loses its capacity to support healthy vegetation, making it unfit for productive agriculture or even sustainable grazing. …
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- CBSE 2025Set 64/4/11 markMCQQ.Which one of the following is incorrectly matched ? List-I (Term) – List-II (Meaning) (A) Physiological density – Total population/Net cultivated area (B) Agricultural density – Total agricultural population/Net cultivable area (C) Population density – Total population/Total area (D) Marginal worker – Total population/Total working population
›Reveal solutionSolution
Option (D) is incorrectly matched: a marginal worker is not defined as a ratio of total population to working population, but rather as someone who works for less than six months (183 days) in a year.
Land use classification and demographic terminology form the backbone of understanding how populations interact with territory. When we study population geography, we rely on precise definitions to measure pressure on land, agricultural capacity, and workforce characteristics. Each term captures a different dimension of the human-land relationship.
Physiological density measures how many people depend on each unit of cultivated land. It divides total population by net cultivated area, giving us a realistic picture of agricultural pressure. A country might have low overall population density but high physiological density if only a small fraction of its land is arable—this tells us far more about food security and farming intensity than crude population density ever could.
Agricultural density narrows the focus further. It takes only the agricultural population—those actually engaged in farming—and divides by net cultivable area. This ratio reveals how many farmers are working each hectare, which speaks directly to farm size, mechanization levels, and rural livelihoods. High agricultural density often signals fragmented landholdings and labor-intensive farming.
Population density is the simplest and most familiar measure: total population divided by total area. It treats all land equally, whether desert, mountain, or fertile plain, and serves as a baseline comparison across regions and countries. …
- CBSE 2024Set 64/2/11 markMCQQ.Study the following diagram carefully and answer the question. [Diagram - 'Changes in Shares of Land-use Categories in India : 1950-51 and 2014-15', Per cent of reporting area (values shown as 1950-51 & 2014-15): Forests 17 & 23.3; Area under non-agricultural use 3.2 & 8.7; Barren and unculturable waste land 13.4 & 5.5; Permanent pasture and grazing land 2.3 & 3.3; Area under Misc. Tree crops and groves 6.9 & 1.0; Culturable Waste Land 8 & 4; Fallow other than Current fallow 6.1 & 3.6; Current fallow 3.7 & 4.9; Net Area sown 41.7 & 45.5] In comparison to 1950 - 51, which of the following categories has decreased the most in 2014 - 15 ? (A) Forests (B) Permanent pasture and grazing land (C) Barren and unculturable wasteland (D) Culturable wasteland
›Reveal solutionSolution
Among the given options, Barren and unculturable wasteland has decreased the most between 1950-51 and 2014-15, falling by 7.9 percentage points.
Understanding Land Use Classification in India
India's land use pattern reflects the evolving priorities of a developing nation—balancing agricultural expansion, urbanization, industrial growth, and environmental conservation. The government tracks these changes through a standardized classification system that divides the country's reporting area into nine distinct categories. Each category tells a story: forests speak to conservation efforts, net area sown reflects agricultural intensity, while categories like barren wasteland or culturable waste reveal land that is either unusable or awaiting development.
The period from 1950-51 to 2014-15 spans India's entire post-independence development journey. At independence, the country was overwhelmingly agrarian, with vast tracts of land lying unused or underutilized. Over the next six decades, population pressure, the Green Revolution, urbanization, and policy interventions reshaped how every hectare was used.
Analyzing the Changes
To identify which category decreased the most, we need to calculate the absolute change for each option:
Forests: Rose from 17% to 23.3%, an increase of 6.3 percentage points. This reflects afforestation programs and stricter forest protection laws, so this option is eliminated.
Permanent pasture and grazing land: Increased marginally from 2.3% to 3.3%, a gain of 1.0 percentage point. The slight rise suggests some recognition of the need for livestock support, though the overall share remains small. Not a decrease at all.
Barren and unculturable wasteland: Dropped sharply from 13.4% to 5.5%, a decrease of 7.9 percentage points. This is the most dramatic fall among all categories. It indicates that land once considered permanently unproductive has either been reclaimed for agriculture, converted to other uses, or reclassified as development spread into marginal areas.
Culturable wasteland: Fell from 8% to 4%, a decrease of 4.0 percentage points. While significant, this decline is smaller than that of barren wasteland. Culturable waste—land that could be farmed but isn't—naturally became a target for agricultural expansion as population and food demand grew. …
- CBSE 2024Set 64/2/11 markMCQQ.Study the following diagram carefully and answer the question. [Diagram - 'Changes in Shares of Land-use Categories in India : 1950-51 and 2014-15', Per cent of reporting area (values shown as 1950-51 & 2014-15): Forests 17 & 23.3; Area under non-agricultural use 3.2 & 8.7; Barren and unculturable waste land 13.4 & 5.5; Permanent pasture and grazing land 2.3 & 3.3; Area under Misc. Tree crops and groves 6.9 & 1.0; Culturable Waste Land 8 & 4; Fallow other than Current fallow 6.1 & 3.6; Current fallow 3.7 & 4.9; Net Area sown 41.7 & 45.5] In comparison to 1950 - 51, which one of the following categories has the highest difference of increase in 2014 - 15 ? (A) Barren and unculturable wasteland (B) Net area sown (C) Area under non-agricultural uses (D) Current fallow
›Reveal solutionSolution
The category with the highest absolute increase in its share of reporting area between 1950-51 and 2014-15 is Area under non-agricultural uses.
To answer this, you first need to understand what the diagram is showing. It gives the percentage of India’s total reporting area occupied by each land-use category at two points in time: 1950-51 and 2014-15. The question asks for the category with the highest difference of increase — meaning the largest positive change in percentage points from the earlier year to the later year.
Let’s look at each of the four options one by one.
Barren and unculturable wasteland actually decreased sharply, from 13.4% to 5.5%. That is a drop of about 7.9 percentage points — a decrease, not an increase. So this option is out.
Net area sown went from 41.7% to 45.5%. That is an increase of 3.8 percentage points. A solid rise, reflecting the expansion of cultivated land in the early decades after independence.
Area under non-agricultural uses jumped from 3.2% to 8.7%. That is an increase of 5.5 percentage points. This category includes land used for settlements, roads, factories, railways, and other infrastructure — all of which grew rapidly with urbanisation and industrialisation.
Current fallow rose from 3.7% to 4.9%, an increase of 1.2 percentage points. That is a modest change.
NoteThe question asks for the highest difference of increase, not the highest percentage change relative to the starting value. We are comparing absolute percentage-point differences, not relative growth rates. …
- CBSE 2024Set 64/2/11 markMCQQ.Study the following diagram carefully and answer the question. [Diagram - 'Changes in Shares of Land-use Categories in India : 1950-51 and 2014-15', Per cent of reporting area (values shown as 1950-51 & 2014-15): Forests 17 & 23.3; Area under non-agricultural use 3.2 & 8.7; Barren and unculturable waste land 13.4 & 5.5; Permanent pasture and grazing land 2.3 & 3.3; Area under Misc. Tree crops and groves 6.9 & 1.0; Culturable Waste Land 8 & 4; Fallow other than Current fallow 6.1 & 3.6; Current fallow 3.7 & 4.9; Net Area sown 41.7 & 45.5] Which one of the following is the correct difference in 'Net Area Sown' between 1950 - 51 and 2014 - 15 ? (A) 3·6% (of reporting area) (B) 3·7% (of reporting area) (C) 3·8% (of reporting area) (D) 3·9% (of reporting area)
›Reveal solutionSolution
The Net Area Sown in India increased by 3.8% of the reporting area between 1950-51 and 2014-15.
Understanding how land is used is crucial for a nation's planning and development. Land use classification categorises the total geographical area of a country based on its primary function, such as agriculture, forests, pastures, or non-agricultural uses. This classification helps in assessing resource availability, identifying trends in land utilisation, and formulating policies for sustainable development. The data provided illustrates significant shifts in these categories over several decades in India, reflecting changes in economic priorities, population growth, and environmental awareness.
One of the most important categories in land use classification, especially for an agrarian economy like India, is the 'Net Area Sown'. This refers to the total area of land on which crops are grown and harvested. It essentially represents the actual agricultural land available for cultivation in a given year. An increase in the Net Area Sown often indicates an expansion of agricultural activity, which can be driven by factors like increased food demand, technological advancements in farming, or conversion of other land types into agricultural fields. Conversely, a decrease might suggest urbanisation, industrialisation, or land degradation.
To determine the change in 'Net Area Sown' between the two periods, we simply need to find the difference between its percentage share in 2014-15 and 1950-51. …
- CBSE 2023Set 64/2/11 markMCQQ.Study the following source and answer the Question No. 15 to 17. A Case Study Jhabua district is located in the westernmost agro-climatic zone in Madhya Pradesh. It is, in fact, one of the five most backward districts of the country. It is characterized by high concentration of tribal population (mostly Bhils). The people suffer due to poverty which has been accentuated by the high rate of resource degradation, both forest and land. The watershed management programmes funded by both the ministries of “Rural Development” and “Agriculture”, Government of India, have been successfully implemented in Jhabua district which has gone a long way in preventing land degradation and improving soil quality. Watershed Management Programmes acknowledge the linkage between land, water and vegetation and attempts to improve livelihoods of people through natural resource management and community participation. In the past five years, the programmes funded by the Ministry of Rural Development alone (implemented by Rajiv Gandhi Mission for Watershed Management) has treated 20 percent of the total area under Jhabua district. Which statement is NOT correct regarding Jhabua ? (A) Jhabua is tribal concentrated district. (B) Poverty has increased in the people due to land degradation. (C) State government has provided money to implement watershed management programme. (D) Watershed management programme has outstanding contribution in land treatment.
›Reveal solutionSolution
This question requires identifying the statement that is not supported by the provided case study about Jhabua district. The case study indicates that watershed management programmes were funded by the Government of India, not the state government, making option (C) the incorrect statement.
The core idea behind this question is reading comprehension. You need to carefully read the provided text and then evaluate each given statement against the information presented in the text. The goal is to find the statement that either directly contradicts the text or cannot be inferred from it. This requires precise attention to detail and understanding the exact wording used in both the source and the options.
Here's a step-by-step analysis of each statement:
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Analyze Statement (A): "Jhabua is tribal concentrated district."
- The case study states: "It is characterized by high concentration of tribal population (mostly Bhils)."
- This directly supports statement (A). Therefore, statement (A) is correct.
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Analyze Statement (B): "Poverty has increased in the people due to land degradation."
- The case study states: "The people suffer due to poverty which has been accentuated by the high rate of resource degradation, both forest and land."
- The word "accentuated" means made more noticeable or intense. This implies that resource degradation (including land degradation) has worsened or increased the existing poverty. This directly supports statement (B). Therefore, statement (B) is correct.
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Analyze Statement (C): "State government has provided money to implement watershed management programme."
- The case study states: "The watershed management programmes funded by both the ministries of 'Rural Development' and 'Agriculture', Government of India..." …
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