CUET UG Geography Booster Test 2-Economic Drivers and Land Changes
π Answers are locked once submitted β results and explanations appear at the end.
QUESTION 1 OF 20
Assess the long-term implications of economic size growth on land resources as described by the NCERT text:
I. As the economy grows due to factors like increasing population and rising incomes, the total geographical area expands to meet the demand.
II. The pressure on existing land intensifies, leading to the utilization of marginal lands.
III. Economic growth inherently reduces the dependency on land by shifting all activities to the digital space.
QUESTION 2 OF 20
How do rising income levels act as an associated factor driving structural changes in land-use?
QUESTION 3 OF 20
Analyze the relationship between sector growth and land utilization:
Statement 1: Developing economies experience a faster expansion of secondary and tertiary sectors relative to the primary sector.
Statement 2: This uneven growth rate necessitates the conversion of agricultural land into non-agricultural categories like industries and infrastructure.
QUESTION 4 OF 20
Match the economic shift with its corresponding land-use category alteration:
| List I β Economic Shift | List II β Land-use Category Alteration |
|---|---|
| 1. Rapid expansion of services and tertiary activities | a. Increase in current fallow |
| 2. Adoption of fallow resting to recoup lost fertility | b. Increase in non-agricultural land |
| 3. Reclamation of cultivable wasteland | c. Increase in net sown area |
| 4. Rapid urbanisation and industrial development | d. Reduction in forest and agricultural land for built-up uses |
QUESTION 5 OF 20
The structural composition shift of land is most acute near large urban areas, where agricultural land is subjected to extreme encroachment and is increasingly being consumed for __________ purposes, thereby swelling the __________ category.
QUESTION 6 OF 20
Trace the sequence of land transition driven by urbanization as described in the text:
1. Sharp transition zones emerge around large urban areas.
2. The secondary and tertiary sectors grow much faster than the primary sector.
3. Gradual shift of land from agricultural uses to non-agricultural uses begins.
4. Agricultural land is utilized for building purposes.
QUESTION 7 OF 20
Which paradox creates continued pressure on agricultural land despite India's transition towards a service and industry-led economy?
QUESTION 8 OF 20
Evaluate the discrepancy between agriculture's share in GDP and population dependency:
I. In developed countries, agriculture's share in GDP usually declines slower than population dependency.
II. In developing countries, agriculture's share in GDP declines much faster than the decline in population dependent on it.
QUESTION 9 OF 20
Match the demographic pressure with its outcome on land use:
| List I β Demographic Pressure | List II β Outcome on Land Use/Economy |
|---|---|
| 1. Number of people to be fed increases daily | a. Pressure on agricultural land does not decline |
| 2. Slow decline in agricultural population dependency | b. Discrepancy with agriculture's share in GDP |
| 3. Rapid population growth | c. Expansion of cultivation into marginal lands |
| 4. Increasing urban population | d. Increase in non-agricultural land use |
QUESTION 10 OF 20
Even if the relative economic value of goods produced by agriculture shrinks compared to manufacturing, agricultural land preservation is essential because:
QUESTION 11 OF 20
Why does an increase in the percentage of one land-use category inherently necessitate a decline in another when analyzing the data from 1950 to 2020?
QUESTION 12 OF 20
If the area under non-agricultural uses shows a high rate of expansion while the total reporting area is fixed, what must mathematically occur within the rural landscape?
QUESTION 13 OF 20
Which of the following lists land categories that have registered an increase between 1950-51 and 2019-20?
1. Area under non-agricultural uses
2. Barren and wasteland
3. Current fallow lands
4. Culturable wasteland
QUESTION 14 OF 20
The phenomenal growth in area under non-agricultural usesβdriven by the expansion of industries and servicesβcomes primarily at the expense of __________ and __________ land.
QUESTION 15 OF 20
QUESTION 16 OF 20
QUESTION 17 OF 20
Which combinations of factors are responsible for the historical decline of culturable wastelands in India?
I. Increased pressure from the agricultural sector attempting to expand net sown area.
II. Increased pressure from the non-agricultural sector building industries and infrastructure.
III. Natural conversion of all wastelands into dense forests without human intervention.
QUESTION 18 OF 20
Match the declining land-use category to the primary reason for its decline as stated in the text:
| List I β Declining Land-use Category | List II β Primary Reason for Decline |
|---|---|
| 1. Decline in land under tree crops and groves | a. Pressure from non-agricultural land |
| 2. Decline in wastelands | b. Pressure from agricultural land |
| 3. Decline in permanent pastures and grazing land | c. Pressure from both agricultural and non-agricultural sectors |
| 4. Decline in Common Property Resources (CPRs) | d. Encroachment for agriculture and developmental activities |
QUESTION 19 OF 20
Why is the degradation of Common Property Resources (CPRs) considered disproportionately detrimental to women and marginalized farmers in rural India?
QUESTION 20 OF 20
Analyze the legal framework of CPRs as described in the text:
I. CPRs allow every member of the community the right of access and usage.
II. CPR usage comes with specified obligations for the community members.
III. Certain affluent families hold exclusive property rights over these community forests and pastures.
Test Complete!
Answer Review
1 Assess the long-term implications of economic size growth on land resources as described by the NCERT text:
I. As the economy grows due to factors like increasing population and rising incomes, the total geographical area expands to meet the demand.
II. The pressure on existing land intensifies, leading to the utilization of marginal lands.
III. Economic growth inherently reduces the dependency on land by shifting all activities to the digital space.
The physical geographical boundaries of a nation are fixed and cannot expand. Growing population and wealth increase food, residential, and industrial demands on land. This pressure forces communities to cultivate low-yield, fragile marginal soils.
The scale of economic output is driven by demographic expansion, rising wealth, and technological innovation. Because the physical geographical boundaries of a nation are absolute, the total area cannot expand to accommodate this growth, making Statement I false. Instead, this growth intensifies competitive pressure on finite land assets, forcing farmers and developers to bring lower-quality, low-yield marginal plots into use to satisfy resource needs, making Statement II correct. Furthermore, while digitalization creates new economic efficiencies, physical resources like food production, infrastructure, and housing require physical space, making Statement III false. Therefore, only Statement II is correct, confirming option B.
- Option A: Validates Statement I, which incorrectly claims that a nation's total physical geographical area can expand to handle economic growth.
- Option C: Includes Statement I alongside the correct assessment of marginal land reclamation detailed in Statement II.
- Option D: Falsely includes Statement III, which wrongly suggests that digital platforms eliminate physical human dependence on land resources.
Used: Boundary Invariance Rule
Application: Identify that a nation's total geographical area is physically fixed. Any statement claiming that total land area expands to handle growth can be instantly eliminated.
Final Logic: Eliminating Statement I removes options A and C, and recognizing that digital transformation does not eliminate the need for physical space eliminates option D, leaving option B as the correct choice.
The country cannot physically grow bigger, so a growing economy is forced to squeeze use out of poorer, marginal fields.
2 How do rising income levels act as an associated factor driving structural changes in land-use?
Rising income levels alter consumption habits and increase the demand for diverse products and services. This wealth expansion accelerates the growth of the manufacturing and service sectors. These high-growth sectors require built infrastructure, which shifts land away from agriculture.
Rising consumer income levels expand individual purchasing power and change consumption habits, increasing the aggregate demand for industrial goods, housing, retail spaces, and advanced services. This structural demand expands the overall size of the economy, accelerating the growth of the secondary and tertiary sectors. Because these sectors rely on built environments, their expansion drives the systematic conversion of agricultural fields into roads, factories, and corporate offices, validating option B.
- Option A: Falsely claims that rising income levels decrease industrial demand, when higher wealth increases the demand for manufactured goods.
- Option C: Suggests that rising income levels lead to urban abandonment, which contradicts the rapid urban sprawl that occurs as economies grow.
- Option D: Incorrectly asserts that consumer wealth can physically expand the fixed baseline geographical data measured by the Survey of India.
Used: Wealth-to-Infrastructure Linkage
Application: Trace how rising income levels alter land use. Higher incomes increase consumer demand, which drives the expansion of industrial and service sectors, increasing the need for non-agricultural built land.
Final Logic: This cause-and-effect relationship points directly to option B.
Higher incomes mean more consumer spending, which drives the need for factories, offices, and shopping malls, expanding non-agricultural land use.
3 Analyze the relationship between sector growth and land utilization:
Statement 1: Developing economies experience a faster expansion of secondary and tertiary sectors relative to the primary sector.
Statement 2: This uneven growth rate necessitates the conversion of agricultural land into non-agricultural categories like industries and infrastructure.
Structural development causes industrial and service activities to grow faster than agriculture. Manufacturing and services rely on built infrastructure like factories, offices, and roads. This infrastructural growth requires converting surrounding farmland into non-agricultural land.
Statement 1 is true because a key feature of structural transformation in developing countries like India is that the secondary (industrial) and tertiary (service) sectors grow much faster than the primary (agricultural) sector. Statement 2 is also true because these fast-growing sectors require physical infrastructure like corporate offices, factories, housing complexes, and transportation networks. Because the total reporting area is fixed, building this infrastructure requires converting rural farmland into built environments. This makes Statement 2 a direct consequence of Statement 1, validating option C.
- Option A: Validates Statement 1 but incorrectly labels Statement 2 as false, ignoring the direct connection between industrial growth and farmland conversion.
- Option B: Rejects Statement 1, failing to recognize that industrial and service sectors outpace agriculture during economic development.
- Option D: Labels both statements as false, which contradicts basic economic development models and land-use data.
Used: Sectoral Coregulation Analysis
Application: Verify the validity of both statements and evaluate the relationship between them. Check if sector shifts occur (Statement 1), if they convert farmland (Statement 2), and if the second process is driven by the first.
Final Logic: Both statements are true, and Statement 2 is a direct result of Statement 1, making option C the correct choice.
Industries and services grow faster than farming (Statement 1), which directly drives the conversion of agricultural land into built environments (Statement 2).
4 Match the economic shift with its corresponding land-use category alteration:
| List I β Economic Shift | List II β Land-use Category Alteration |
|---|---|
| 1. Rapid expansion of services and tertiary activities | a. Increase in current fallow |
| 2. Adoption of fallow resting to recoup lost fertility | b. Increase in non-agricultural land |
| 3. Reclamation of cultivable wasteland | c. Increase in net sown area |
| 4. Rapid urbanisation and industrial development | d. Reduction in forest and agricultural land for built-up uses |
Expansion of the service sector requires more commercial buildings, transport facilities, and infrastructure, increasing non-agricultural land. Leaving fields uncultivated for a season helps restore soil fertility and increases current fallow land. Reclaiming cultivable wasteland expands the land available for cultivation. Urbanisation and industrialisation convert agricultural and forest land into built-up areas.
The growth of the tertiary sector increases the demand for offices, markets, roads, and other infrastructure, leading to an increase in non-agricultural land (1-b). The practice of leaving land fallow for a season to restore soil fertility causes an increase or fluctuation in current fallow land (2-a). Reclamation of cultivable wasteland makes previously unused land suitable for farming, resulting in an increase in net sown area (3-c). Rapid urbanisation and industrial development require land for housing, industries, and infrastructure, often reducing agricultural and forest land and increasing built-up land (4-d). Therefore, the correct sequence is 1-b, 2-a, 3-c, 4-d, validating Option B.
- Option A: Incorrectly reverses the relationship between service sector expansion and fallow land.
- Option C: Incorrectly links service sector growth with net sown area and mismatches the remaining land-use changes.
- Option D: Incorrectly associates service sector expansion with a reduction in non-agricultural land, which contradicts the effects of urban development.
Used: Economic ActivityβLand Use Matching
Application: Match each economic or agricultural change with its direct impact on land-use categories.
- Service sector expansion β Non-agricultural land (b)
- Fallow practice β Current fallow (a)
- Wasteland reclamation β Net sown area (c)
- Urbanisation β Reduction in agricultural/forest land due to built-up expansion (d)
Final Logic: Economic development changes land use by expanding built-up areas, while agricultural practices influence fallow and cultivated land, confirming Option B.
"Services build cities, fallow heals soil, reclamation adds farms, urbanisation spreads concrete."
5 The structural composition shift of land is most acute near large urban areas, where agricultural land is subjected to extreme encroachment and is increasingly being consumed for __________ purposes, thereby swelling the __________ category.
Urban sprawl extends outward from growing metropolitan centers. This expansion creates high demand for real estate along the urban fringe. This demand converts surrounding agricultural fields into built environments like housing and offices.
The conversion of agricultural land is most intense at the urban fringe surrounding major cities. As urban populations grow and cities expand, surrounding farmland is built over for residential neighborhoods, industrial parks, highways, and shopping centers. This construction converts agricultural land into built environments, expanding the "land put to non-agricultural uses" category, validating option B.
- Option A: Suggests that lands near cities are converted into shared grazing pastures, which contradicts the real estate development that defines urban expansion.
- Option C: Asserts that urban sprawl turns farmland into protected forests, which runs counter to the clearing of land that occurs during construction.
- Option D: Claims that urban encroachment increases seasonal fallows, ignoring the permanent conversion of fields into built infrastructure.
Used: Double-Blank Alignment
Application: Identify what agricultural land near expanding cities is used for (building purposes) and the official land-use category it falls under (non-agricultural uses).
Final Logic: This pair fits both blanks logically, confirming option B.
Growing cities build over nearby fields, converting agricultural land into non-agricultural use.
6 Trace the sequence of land transition driven by urbanization as described in the text:
1. Sharp transition zones emerge around large urban areas.
2. The secondary and tertiary sectors grow much faster than the primary sector.
3. Gradual shift of land from agricultural uses to non-agricultural uses begins.
4. Agricultural land is utilized for building purposes.
Rapid growth in the manufacturing and service sectors acts as the initial driver. This structural shift initiates a gradual conversion of land away from agricultural uses. This shift is most visible at the urban fringe, where farmland is built over for infrastructure.
The sequence follows a clear cause-and-effect chain. First, structural economic transformation occurs as the secondary and tertiary sectors outpace primary agriculture (2). This uneven growth triggers a gradual shift of land resources away from agricultural uses to support new economic activities (3). This shift is most acute around large cities, creating distinct urban-rural transition zones along the city edges (1). Within these transition zones, surrounding farmland is built over for housing, factories, and roads (4). This sets the logical progression as 2 to 3 to 1 to 4, validating option A.
- Option B: Places the formation of transition zones before the structural economic changes and sector shifts that cause them.
- Option C: Starts with land conversion before identifying the industrial and service sector growth that drives the need for that conversion.
- Option D: Places the final step of physical construction before the macro-level economic changes and transition zones develop.
Used: Cause-and-Effect Sequencing
Application: Order the statements logically from the root economic drivers to the physical changes on the ground. Industrial and service sector growth drives land conversion, which is most visible at the urban fringe where farmland is built over.
Final Logic: This logical chain supports the 2 to 3 to 1 to 4 sequence, pointing to option A.
Sectors shift (2) > Land begins to convert (3) > City edges change (1) > Farmland is built over (4).
7 Which paradox creates continued pressure on agricultural land despite India's transition towards a service and industry-led economy?
Agriculture's contribution to national income drops quickly as other sectors grow. Shifting millions of rural workers into industrial and service jobs takes much longer. This labor lag leaves a large share of the population dependent on a fixed amount of farmland.
The paradox centers on a structural gap in developing economies like India: agriculture's contribution to total GDP drops quickly as the manufacturing and service sectors grow, but the share of the population that relies on farming for employment declines at a much slower rate. Because millions of rural households remain dependent on a fixed amount of farmland for their livelihoods, the demographic pressure on agricultural land remains intense even though its share of national income has shrunk, validating option B.
- Option A: Falsely claims that agricultural GDP grows faster than services, which contradicts structural development trends.
- Option C: Suggests a massive migration of urban residents back to rural farms, which runs counter to rural-to-urban migration patterns.
- Option D: Explains the situation through a hiring refusal rather than addressing the structural reasons why labor shifts slowly out of agriculture.
Used: Paradox Analysis
Application: Identify the structural mismatch that keeps pressure high on farmland. This pressure persists because the agricultural workforce declines much more slowly than the sector's share of national income.
Final Logic: This mismatch leaves too many workers on a fixed amount of land, confirming option B.
Farming's share of national income drops quickly, but shifting the workforce takes time, keeping pressure high on available land.
8 Evaluate the discrepancy between agriculture's share in GDP and population dependency:
I. In developed countries, agriculture's share in GDP usually declines slower than population dependency.
II. In developing countries, agriculture's share in GDP declines much faster than the decline in population dependent on it.
Structural development causes agriculture's share of total output to drop quickly. Shifting the rural workforce into industrial and service jobs is a slower process. This difference means output shares decline quickly while employment shares decline slowly in developing nations.
Statement I is incorrect because developed nations have already completed their structural transitions, leaving a small, stable percentage of both GDP and labor allocated to highly mechanized farming. Statement II is correct because a defining feature of developing countries like India is that agriculture's share of national GDP declines rapidly as industrial and service sectors grow, while the percentage of the population dependent on farming decreases much more slowly. Therefore, only Statement II is correct, validating option B.
- Option A: Validates Statement I, which mischaracterizes the stable, integrated agricultural economies of developed nations.
- Option C: Incorrect because Statement I is false; it misapplies a developing economy dynamic to developed countries.
- Option D: Rejects Statement II, failing to recognize the structural gap between GDP share and labor dependency in developing nations.
Used: Structural Stage Verification
Application: Evaluate both statements against economic development models. Recognize that the gap between rapid GDP decline and slow workforce shifts is a key feature of developing nations.
Final Logic: This structural gap validates Statement II and invalidates Statement I, confirming option B.
In developing nations, agricultural income drops fast, but shifting the workforce out of farming is a much slower process.
9 Match the demographic pressure with its outcome on land use:
| List I β Demographic Pressure | List II β Outcome on Land Use/Economy |
|---|---|
| 1. Number of people to be fed increases daily | a. Pressure on agricultural land does not decline |
| 2. Slow decline in agricultural population dependency | b. Discrepancy with agriculture's share in GDP |
| 3. Rapid population growth | c. Expansion of cultivation into marginal lands |
| 4. Increasing urban population | d. Increase in non-agricultural land use |
A growing population increases the demand for food, keeping pressure on agricultural land high. The agricultural workforce declines slowly compared to agriculture's rapidly falling share in GDP. Population growth often leads to cultivation of marginal lands to meet rising food demand. Urban population growth increases the demand for land for housing, transport, and infrastructure.
As the number of people to be fed increases, the demand for food also rises, so pressure on agricultural land remains high (1-a). Although agriculture's contribution to GDP declines rapidly, a large proportion of the population continues to depend on it for employment, creating a discrepancy between agriculture's GDP share and employment share (2-b). Rapid population growth increases the need for agricultural production, often resulting in the expansion of cultivation into marginal lands (3-c). The growth of the urban population increases demand for residential areas, industries, roads, and other infrastructure, leading to an increase in non-agricultural land use (4-d). Therefore, the correct sequence is 1-a, 2-b, 3-c, 4-d, validating Option A.
- Option B: Reverses the relationship between food demand and agricultural dependency and incorrectly links urbanisation with cultivation.
- Option C: Incorrectly matches population growth with reduced land pressure and GDP-related changes.
- Option D: Mismatches all major demographic changes with their actual land-use outcomes.
Used: Demographic Impact Mapping
Application: Match each demographic change with its most direct impact on land use and the economy.
- More population β Greater pressure on agricultural land (a)
- Slow decline in agricultural dependency β GDP-employment gap (b)
- Population growth β Expansion into marginal lands (c)
- Urbanisation β Increase in non-agricultural land (d)
Final Logic: Population growth increases land demand, while structural economic changes create differences between employment and GDP shares, confirming Option A.
"More people need more food, slow job shifts widen the GDP gap, population spreads farms, and cities spread concrete."
10 Even if the relative economic value of goods produced by agriculture shrinks compared to manufacturing, agricultural land preservation is essential because:
Agriculture's contribution to national output drops as industries and services grow. The total population needing food continues to rise steadily. This population growth requires preserving available farmland to ensure national food security.
Even though agriculture contributes less to national GDP over time, population growth means the total number of consumers who rely on it for food continues to rise. This growing demand means that the absolute volume of food required increases steadily over time. Preserving and protecting available farmland is essential to meet these food production needs and ensure national food security, validating option B.
- Option A: Falsely claims that international law dictates domestic land-use boundaries, which are managed by local zoning laws and land records.
- Option C: Contradicts the impact of modern agricultural technology, which increases crop yields per unit area, reducing the land needed for the same harvest.
- Option D: Suggests that barren lands naturally turn into forests on a scale that forces agricultural preservation, which is not supported by land-use data.
Used: Food Security Absolute Priority
Application: Recognize that food security is an absolute requirement driven by population size. Even if agriculture's share of GDP drops, a growing population requires a continuous supply of food, making farmland preservation essential.
Final Logic: This food security requirement points directly to option B.
Agriculture's share of GDP may drop, but a growing population means more mouths to feed, making farmland preservation essential.
11 Why does an increase in the percentage of one land-use category inherently necessitate a decline in another when analyzing the data from 1950 to 2020?
National land utilization datasets rely on a fixed baseline area. These land-use shares are calculated using the total administrative reporting area. Because this total area is fixed, individual categories must trade off against each other.
Official land utilization statistics are expressed as percentages of the total reporting area managed by state revenue departments. Because this total reporting area has remained relatively constant over the years, the individual percentages must always add up to 100 percent. In this closed statistical framework, any expansion in a specific category (such as land put to non-agricultural uses) must be balanced by a corresponding decline in another category (such as wastelands or pastures), validating option B.
- Option A: Attributes the inverse mathematical relationship to flawed record-keeping rather than the properties of a closed statistical framework.
- Option C: Falsely claims that India's total physical geographical area has shrunk, when physical boundaries remain fixed.
- Option D: Incorrectly asserts that wastelands are excluded from land records, when they are tracked as an official land-use category.
Used: Closed-System Mathematical Rule
Application: Identify that within a fixed total sum (100% of a constant reporting area), individual components operate as a zero-sum game. Any increase in one category requires a decrease in another.
Final Logic: This zero-sum relationship points directly to option B.
Within a fixed total area, land categories operate like a balance scale: when one goes up, another must go down.
12 If the area under non-agricultural uses shows a high rate of expansion while the total reporting area is fixed, what must mathematically occur within the rural landscape?
The administrative reporting area forms a closed statistical system. Because the total area is fixed, categories must trade off against each other. Urban-industrial expansion must convert and reduce available wastelands and agricultural land.
Because the total reporting area is fixed, land use operates within a closed statistical framework. When the area under non-agricultural uses expands rapidly to support cities and factories, it cannot expand the total land area of the country. Instead, it must expand by encroaching upon and converting other open land categories, leading to a corresponding decline in available wastelands and rural farmland, validating option B.
- Option A: Falsely claims that industrial construction can physically expand the fixed geographical boundaries of a nation.
- Option C: Suggests that non-agricultural growth increases wastelands, when urban sprawl actually builds over and reduces them.
- Option D: It is mathematically impossible for all other land categories to increase when a single category is expanding within a fixed total area.
Used: Zero-Sum Allocation Tracking
Application: Apply the principles of a closed system where the total sum is fixed. If one category expands significantly, other categories must decline to balance the total.
Final Logic: This trade-off means that non-agricultural growth comes at the expense of wastelands and farmland, confirming option B.
Within a fixed total area, expanding cities must grow by building over surrounding wastelands and farm fields.
13 Which of the following lists land categories that have registered an increase between 1950-51 and 2019-20?
1. Area under non-agricultural uses
2. Barren and wasteland
3. Current fallow lands
4. Culturable wasteland
Long-term land-use data tracks how categories have changed over several decades. Urban sprawl and industrial growth have driven a steady increase in non-agricultural land use. Current fallow lands have also registered a net increase in long-term datasets, making categories 1 and 3 correct.
Long-term land-use data in India (from 1950β51 to 2019β20) shows that the "area under non-agricultural uses" increased significantly due to rapid industrial and urban expansion (1 is correct). "Current fallow lands" also registered a net statistical increase over this multi-decade period (3 is correct). Conversely, "barren and unculturable wasteland" (2) and "culturable wasteland" (4) both registered a steady decline as they were reclaimed for farming and urban construction. Therefore, categories 1 and 3 registered an increase, validating option A.
- Option B: Pairs barren wastelands and culturable wastelands, both of which registered a steady decline due to reclamation efforts.
- Option C: Includes barren wastelands, which declined as land pressure forced open spaces into active use.
- Option D: Includes culturable wastelands, which decreased over time as they were converted into active fields.
Used: Historical Trend Classification
Application: Classify each category based on long-term data trends. Label non-agricultural land and current fallow as increasing, and label barren and culturable wastelands as declining.
Final Logic: This classification identifies 1 and 3 as the increasing categories, pointing to option A.
Built environments (non-agricultural) and current fallows have increased, while both categories of wastelands have declined due to reclamation.
14 The phenomenal growth in area under non-agricultural usesβdriven by the expansion of industries and servicesβcomes primarily at the expense of __________ and __________ land.
Industrial growth and urban expansion require physical space for built infrastructure. Within a fixed total reporting area, this expansion requires converting open land. Expanding cities grow by building over surrounding wastelands and agricultural fields.
Because the total reporting area is fixed, any expansion in non-agricultural land use must convert other categories. As cities, factories, and roads expand outward, they buy up and build over surrounding agricultural fields and open wastelands, leading to a corresponding decline in both categories. This makes option B the correct answer.
- Option A: While some pastures face conversion pressure, forests are protected by strict conservation laws, which prevents them from being the primary source of urban land.
- Option C: Focuses on physical topographic features like hills and water bodies rather than the official land-use categories tracked in the data.
- Option D: Current fallow lands fluctuate based on weather patterns, and demarcated forests are legally protected from large-scale urban development.
Used: Target Source Identification
Application: Identify the primary land categories that are converted to support urban sprawl and industrial growth. These categories are surrounding farm fields and open wastelands.
Final Logic: This pair matches long-term land-use conversion trends, confirming option B.
Expanding cities grow by building over surrounding open spaces: wastelands and agricultural land.
15
The provided text addresses the limitations of using a two-point comparison for fallow trends. Current fallow levels vary significantly from year to year based on short-term factors. Seasonal variations in rainfall and crop rotation decisions drive these annual fluctuations.
The second sentence of the provided passage states: "The trend of current fallow fluctuates a great deal over years, depending on the variability of rainfall and cropping cycles." This text confirms that current fallow levels vary significantly from year to year based on seasonal weather patterns. Because of these annual fluctuations, comparing just two distant points in time cannot capture the underlying trend, validating option B.
- Option A: Mentions boundary shifts by the Survey of India, which is not stated or supported by the provided text.
- Option C: Falsely claims that fallow lands were not recorded before 2019, which contradicts the passage's discussion of long-term data points.
- Option D: Suggests that culturable wastelands replaced fallow fields, which misinterprets the text's separate point about expands in the net area sown.
Used: Direct Textual Extraction
Application: Locate the keywords "current fallow fluctuates" in the text and identify the cause provided immediately after them.
Final Logic: The text directly attributes the fluctuations to rainfall variability and cropping cycles, confirming option B.
The text directly states that current fallow levels fluctuate over the years based on rainfall variability.
16
The final sentence of the passage addresses recent trends in the net area sown. Bringing idle, reclaimable plots into active production expands total cultivated land. The text explicitly links this expansion to the reclamation of culturable wasteland.
The final sentence of the provided passage states: "The increase in net area sown is a recent phenomenon due to use of culturable waste land for agricultural purpose." This text confirms that bringing idle, reclaimable plots into active production has expanded the net area sown, validating option C.
- Option A: Describes a conversion into forests that is not mentioned or supported by the provided text.
- Option B: Links the trend to rainfall variability, which the passage explicitly associates with fluctuations in current fallow land rather than growth in net area sown.
- Option D: Mentions a decline in cropping cycles, which does not match the explanation provided in the text.
Used: Direct Textual Matching
Application: Locate the phrase "increase in net area sown" in the text and identify the explanation that follows it.
Final Logic: The text directly matches the phrasing in option C.
The final sentence explicitly states that the increase in net area sown is due to using culturable wasteland for farming.
17 Which combinations of factors are responsible for the historical decline of culturable wastelands in India?
I. Increased pressure from the agricultural sector attempting to expand net sown area.
II. Increased pressure from the non-agricultural sector building industries and infrastructure.
III. Natural conversion of all wastelands into dense forests without human intervention.
Growing demands from both farming and urban development create pressure on open land. Farmers reclaim culturable wastelands to expand active fields (Statement I). Developers build over these open plots for factories and infrastructure (Statement II), while Statement III is false.
The decline in culturable wastelands is driven by dual pressures from both economic sectors. First, the agricultural sector reclaims these idle plots and brings them under the plow to expand the net area sown and meet food demands (Statement I is correct). Second, the non-agricultural sector targets these open areas for industrial construction, housing, and infrastructure projects (Statement II is correct). Statement III is false because this decline is driven by human economic land conversion rather than natural reforestation. This confirms option A.
- Option B: Includes Statement III, which incorrectly claims that natural reforestation explains the decline in this category.
- Option C: Omit the key role that urban-industrial expansion (Statement II) plays in converting available wastelands.
- Option D: Incorrect because it validates Statement III, misrepresenting human land conversion as natural forest growth.
Used: Factor Validation
Application: Evaluate each factor independently. Identify that the decline in wastelands is driven by human reclamation for both agriculture (Statement I) and urban-industrial infrastructure (Statement II).
Final Logic: This dual driver validates Statements I and II while eliminating Statement III, pointing to option A.
Wastelands declined because they were taken over by both sides: farming expansion (Statement I) and urban building (Statement II).
18 Match the declining land-use category to the primary reason for its decline as stated in the text:
| List I β Declining Land-use Category | List II β Primary Reason for Decline |
|---|---|
| 1. Decline in land under tree crops and groves | a. Pressure from non-agricultural land |
| 2. Decline in wastelands | b. Pressure from agricultural land |
| 3. Decline in permanent pastures and grazing land | c. Pressure from both agricultural and non-agricultural sectors |
| 4. Decline in Common Property Resources (CPRs) | d. Encroachment for agriculture and developmental activities |
The NCERT explains that several land-use categories have declined because of increasing pressure on land resources. Land under tree crops and groves has declined as more land is brought under cultivation. Wastelands have declined because they are reclaimed for agriculture as well as non-agricultural purposes. Permanent pastures and Common Property Resources (CPRs) have also shrunk due to increasing demand for land.
According to the NCERT text, land under tree crops and groves has declined because of pressure from agricultural expansion, as such land is converted into cultivated fields (1-b). The decline in wastelands is due to pressure from both agricultural and non-agricultural sectors, as wastelands are reclaimed for cultivation and developmental activities (2-c). Permanent pastures and grazing lands have also declined because agricultural expansion has reduced the area available for grazing (3-b). Common Property Resources (CPRs) have declined because of encroachment for agriculture, infrastructure, and other developmental activities (4-d). Therefore, the correct sequence is 1-b, 2-c, 3-b, 4-d, validating Option B.
- Option A: Incorrectly attributes the decline of tree crops mainly to non-agricultural pressure.
- Option C: Reverses the reasons for the decline of tree crops and wastelands.
- Option D: Incorrectly associates wastelands only with developmental activities and mismatches the remaining categories.
Used: Cause-and-Effect Matching
Application: Match each declining land-use category with the factor responsible for its reduction as described in NCERT.
- Tree crops and groves β Agricultural expansion (b)
- Wastelands β Agricultural + non-agricultural pressure (c)
- Permanent pastures β Agricultural expansion (b)
- CPRs β Encroachment for agriculture and development (d)
Final Logic: Agricultural expansion is the major cause for the decline of productive land categories, while wastelands face pressure from both agriculture and development, confirming Option B.
"Fields replace trees, wastelands serve both farms and cities, pastures shrink for crops, and common lands disappear under development."
19 Why is the degradation of Common Property Resources (CPRs) considered disproportionately detrimental to women and marginalized farmers in rural India?
Resource-poor rural households rely on shared common lands for their daily livelihoods. Landless farmers depend on common pastures to graze their livestock. Rural women carry the primary responsibility for collecting firewood and fodder from these shared spaces.
Common Property Resources (CPRs) provide essential livelihood support for the weaker sections of rural communities. Landless and marginal farmers depend heavily on shared pastures and community forests to graze their livestock because they lack private landholdings. Furthermore, because rural women carry the primary domestic responsibility for collecting firewood for cooking fuel and fodder for animals, the degradation of these resources forces them to walk much longer distances and spend more hours gathering these essentials, validating option B.
- Option A: Falsely claims that marginalized groups use common pastures to cultivate commercial cash crops for export markets.
- Option C: Connects the issue to land revenue tax payments, which is unrelated to the daily resource collection challenges faced by rural households.
- Option D: Contradicts the definition of CPRs by claiming that individual marginalized farmers hold exclusive private property rights over these community assets.
Used: Socio-Demographic Impact Analysis
Application: Identify how the degradation of common land affects specific rural groups. It increases the workload for women collecting fuel and restricts resource access for landless livestock owners.
Final Logic: This livelihood impact points directly to option B.
Degraded common lands mean rural women must walk farther for firewood, and landless farmers lose essential grazing pasture for their livestock.
20 Analyze the legal framework of CPRs as described in the text:
I. CPRs allow every member of the community the right of access and usage.
II. CPR usage comes with specified obligations for the community members.
III. Certain affluent families hold exclusive property rights over these community forests and pastures.
Common Property Resources are managed collectively for the entire village. Every community member has shared access and usage rights (Statement I). This access is paired with shared management responsibilities, making Statement III false.
Statement I is correct because Common Property Resources are defined by shared community access, allowing every resident the right to use them for grazing or gathering firewood. Statement II is correct because this access is paired with specified obligations and shared management responsibilities to prevent the overexploitation of resources. Statement III is false because the defining feature of a CPR is that it is a collective asset, meaning no single individual or affluent family can claim exclusive private property rights over the land. This confirms option A.
- Option B: Includes Statement III, which incorrectly claims that affluent families can hold exclusive private ownership over common property.
- Option C: Falsely includes Statement III while omitting the shared community obligations detailed in Statement II.
- Option D: Incorrect because it validates all three statements, failing to recognize that Statement III contradicts the core concept of common property.
Used: Legal Exclusion Rule
Application: Evaluate each statement against the definition of common property. Eliminate any statement that claims individuals or single families can hold exclusive private property rights over a community asset.
Final Logic: Eliminating Statement III removes choices B, C, and D, leaving option A as the correct answer.
Common property belongs to the whole community, granting shared access (Statement I) and requiring shared responsibilities (Statement II) while excluding private ownership.
