Fact-checked by Grok 2 weeks ago

Physiological density

Physiological density is a demographic in that quantifies the number of people supported per unit area of , typically expressed as persons per square kilometer of cultivable territory. This measure, distinct from arithmetic —which divides total by overall area regardless of —highlights the strain on agricultural resources essential for production. By focusing solely on land capable of sustaining crops, physiological reveals potential vulnerabilities in a region's capacity to feed its inhabitants through domestic , informing assessments of and the need for imports or technological innovations in farming. High values, such as those in densely populated river valleys with limited fertile soil, underscore risks of insecurity and overcrowding on productive , while lower figures suggest greater agricultural buffers.

Definition and Measurement

Definition

Physiological density, also known as real population density, measures the number of people supported per unit area of , which is land suitable for crop production excluding temporary pastures, permanent meadows, and other non-cultivable areas. This metric assesses the pressure exerted by a on its agricultural resources, revealing potential strains on production capacity independent of total land area. Unlike broader density measures, it focuses exclusively on cultivable terrain, emphasizing sustainability challenges in regions with limited fertile . The concept underscores how densely a population relies on finite arable resources for sustenance, with higher values indicating greater dependence on intensive farming techniques or imports to avoid food insecurity. Arable land is defined by international standards, such as those from the Food and Agriculture Organization, as land under temporary crops, temporary meadows for mowing or pasture, land under market or kitchen gardens, and land temporarily fallow, excluding long-term fallow exceeding five years. This definition ensures the metric reflects viable agricultural potential rather than theoretical land availability.

Calculation and Units

Physiological density is calculated by dividing the total human population of a given region or country by the total area of arable land available within that region. The formula is expressed as: \text{Physiological density} = \frac{\text{Total population}}{\text{Arable land area}} Arable land refers to land under temporary crops, temporary meadows for mowing or , land under or gardens, and land temporarily (less than five years); it excludes permanent pastures and other non-arable uses. This measure highlights the pressure on productive land for food production, distinct from total land area. Data for population typically derive from national censuses or estimates, while arable land figures often come from the (FAO) of the , updated periodically based on and ground surveys. The resulting value is expressed in units of people per unit of area, most commonly persons per square kilometer (persons/km²), though sometimes per for finer-scale agricultural analyses. For example, a physiological density of 1,000 persons/km² indicates that 1,000 people rely on each square kilometer of , underscoring potential strains on agricultural output. Variations in calculation arise from definitions of "arable," with some sources incorporating irrigable land or excluding periods, but the FAO standard predominates for international comparisons.

Comparison to Other Density Measures

Arithmetic Density

Arithmetic density, also referred to as crude population density, quantifies the total number of divided by the total land area of a given , providing a basic indicator of spatial . This measure, typically expressed in persons per square kilometer or per , treats all land equally regardless of , , or usability for habitation or . The is straightforward: arithmetic density equals total divided by total land area in consistent units. For example, the in 2023 had an arithmetic density of approximately 38 persons per square kilometer, reflecting its vast land area of about 9.1 million square kilometers supporting over 340 million people. In contrast, densely urbanized nations like exhibit much higher values, exceeding 8,000 persons per square kilometer, due to concentrated populations on limited territory. Globally, the arithmetic density averaged around 62 persons per square kilometer in 2023, calculated across approximately 148 million square kilometers of land supporting over 8 billion people. These figures derive from national censuses and satellite-derived land measurements, though they exclude inland water bodies. Unlike physiological density, which divides by to assess agricultural , arithmetic density incorporates unproductive terrains such as deserts, mountains, and tundras, often masking resource pressures in regions where most people depend on a fraction of the total area for sustenance. For instance, countries like (9 persons per square kilometer) or (4 persons per square kilometer) appear sparsely populated under arithmetic metrics due to expansive non-arable northern expanses, yet their effective human is constrained by habitable zones. This limitation renders arithmetic density useful for broad comparative overviews but less insightful for evaluating or land productivity compared to physiological measures. Data inconsistencies can arise from varying definitions of land area, such as inclusion of or disputed borders, necessitating verification against standardized sources like the .

Agricultural Density

Agricultural density measures the number of farmers or agricultural workers per unit area of , typically expressed as farmers per square kilometer of cultivable land. This metric highlights the intensity of labor in food production relative to available farmland, serving as an indicator of agricultural efficiency and technological adoption. In contrast to physiological density, which divides total by to assess overall pressure on food-producing resources, agricultural density focuses solely on the farming as the numerator. This distinction allows for evaluation of labor productivity: low agricultural often correlates with mechanized, commercial farming systems that require fewer workers per due to machinery and inputs like fertilizers, as seen in industrialized nations. High agricultural , conversely, signals subsistence-oriented with manual labor dominance, implying lower yields per farmer and greater vulnerability to labor shortages. For instance, the exhibits a low agricultural density of approximately 0.9 farmers per square kilometer of , reflecting advanced and large-scale operations that support its with minimal farming labor. , by comparison, has a much higher agricultural density—around 1,200 farmers per square kilometer of —due to reliance on intensive manual farming along the , even as physiological densities may align closely with more developed regions through efficiencies. These variations underscore how agricultural density reveals economic and technological factors in that physiological density alone overlooks, such as the capacity to sustain high loads via fewer but more productive farmers.

Historical Development

Origins in Human Geography

The concept of physiological density arose in as a quantitative refinement of the broader man-land , which evaluates the relationship between human s and available land resources for sustenance. The man-land itself traces its intellectual roots to early 20th-century geographic inquiries into and utilization, where scholars emphasized the need for metrics beyond simple areal coverage to capture economic and productive capacities of land. By focusing on —the portion suitable for crop production—physiological density addressed limitations in arithmetic density, which overstates pressure in regions with vast non-cultivable areas like deserts or mountains, offering instead a for agricultural and risks. This measure gained prominence in the mid-20th century amid the formalization of as a subdiscipline, influenced by post-World War II concerns over global demographic growth and resource scarcity in developing nations. Geographers adopted physiological density to model dependency on cultivable land, integrating it into analyses of and ; for instance, high values in countries like (over 3,000 people per square kilometer of arable land as of early 21st-century data) highlighted vulnerabilities not evident in total land-based densities. The term and its application underscored causal links between , land productivity, and societal stability, diverging from purely descriptive approaches toward predictive, resource-oriented frameworks in geographic .

Evolution and Refinements

The concept of physiological density was refined in the mid-20th century by geographer Glenn T. Trewartha, who formalized it in 1953 as a measure of total per unit of to better assess pressure on food-producing resources, distinguishing it from broader arithmetic . This built on earlier precursors like "man-soil density" introduced by Kuperus in 1938, which similarly focused on relative to cultivable soil but lacked the standardized emphasis on 's biological productivity potential. Trewartha's formulation addressed limitations in traditional metrics by incorporating the land's capacity to sustain life through , aligning with post-World War II concerns over global and Malthusian pressures. Subsequent refinements distinguished physiological density from agricultural density, which measures only the farming population per arable unit to evaluate labor efficiency and mechanization levels. This separation, elaborated in Trewartha's later works such as his 1969 book A Geography of Population: World Patterns, allowed analysts to isolate total demographic strain from , proving useful in studies of developing regions where subsistence farming predominates. By the 1970s, integration with data from the (FAO) enhanced precision, as FAO's standardized definitions—encompassing temporarily fallow areas and temporary pastures—reduced inconsistencies in cross-national comparisons. Further evolutions incorporated qualifiers like potential physiological density, which adjusts for untapped through or technology, as explored in demographic studies of Asia's monsoon regions where double-cropping inflates effective capacity beyond static measures. For example, in , refinements accounting for yield an adjusted density far lower than the unadjusted figure of over 3,000 people per square kilometer of , highlighting how technological interventions mitigate raw pressures. These adaptations, while maintaining the core ratio, underscore causal links between land and , though critics note that ignoring variations can still overestimate strain in high-input agricultural systems.

Implications for Population and Resources

Food Security and Carrying Capacity

High physiological density exerts significant pressure on arable land's capacity to support population needs, serving as a key indicator of potential food insecurity. When the ratio of people to cultivable area intensifies, agricultural systems face demands that can exceed local production limits, leading to higher vulnerability to yield fluctuations from weather events, pests, or resource depletion. For example, regions with densities above 1,000 individuals per square kilometer of arable land often require substantial food imports to bridge caloric deficits, as domestic output struggles to match consumption rates without continuous intensification. This dynamic underscores causal links between land scarcity and access to nutrition, where failure to maintain high productivity per hectare can precipitate shortages affecting millions. Carrying capacity, the maximum population sustainably supported by a territory's resources—chiefly from —is inversely related to physiological density; elevated levels signal proximity to or breach of these limits absent external factors like or . Empirical analyses tie availability directly to human , with acting as the primary bottleneck, as s cannot indefinitely expand beyond what yields can provide without . In , for instance, where physiological density reaches over 2,500 people per square kilometer of concentrated along the , the country's hinges on efficiency and imports covering up to 60% of staple grains like , highlighting how geographic constraints amplify risks of systemic overload. Similarly, Bangladesh's high density strains its delta-based farming, contributing to persistent undernutrition despite yield gains, as population pressures outpace land expansion. Mitigating these implications demands balancing density with productivity enhancements, yet unchecked growth in high-density areas can erode and , eroding long-term capacity. Data from global assessments show that without adaptive measures, such as improved crop varieties or , food security deteriorates as densities rise, reinforcing the metric's role in forecasting thresholds.

Agricultural Pressure and Sustainability

High physiological density, defined as total divided by area, quantifies the dependency of large populations on limited cultivable resources, often resulting in intensified agricultural practices that strain and water availability. In regions exceeding 1,000 people per square kilometer of , such as parts of and , farmers resort to continuous cropping, monocultures, and synthetic fertilizers to maximize yields, accelerating nutrient mining from soils and increasing erosion rates by up to 10-20 times compared to natural baselines. These practices, while boosting short-term output, diminish long-term fertility; for instance, in , where physiological density surpasses 1,200 per km² of , overuse of urea-based fertilizers has led to widespread and organic matter decline, reducing rice productivity potential by 15-20% over decades without remediation. Water resources face parallel pressures, as high densities demand extensive to sustain output on shrinking land shares—often below 0.1 hectares per person in densely populated agrarian economies. In , with comprising just 3% of its territory yet supporting over 100 million people (yielding a physiological density above 3,000 per km²), reliance on River withdrawals for 95% of has intensified salinization and depletion, with levels dropping 1-2 meters annually in the region. Such dynamics heighten vulnerability to climate variability, where reduced flows—projected to decrease 10-20% by 2050 due to upstream damming—could slash irrigated yields by 20-30%, underscoring the unsustainability of unchecked intensification. Sustainability efforts in high-density contexts emphasize conservation tillage, integrated pest management, and crop diversification to restore soil organic carbon levels, which have declined 20-50% in intensively farmed areas globally. Rwanda exemplifies this, with a physiological density over 430 per km² of arable land driving farmland fragmentation and deforestation, yet policy shifts toward agroforestry have stabilized yields on terraced slopes by enhancing water retention and reducing erosion by 40%. However, without technological offsets like precision agriculture or expanded arable frontiers—limited by topography and climate—persistent high densities risk crossing ecological thresholds, where marginal returns on inputs render systems prone to collapse, as seen in historical cases of Mesopotamian salinization. Effective governance, prioritizing empirical monitoring of land degradation indices, remains essential to avert food insecurity amid population growth.

Examples and Global Variations

High Physiological Density Regions

Singapore possesses one of the world's highest physiological densities, estimated at over 440,000 people per square kilometer of , due to its urbanized landscape where accounts for just 1.47% of total territory. This metric underscores the city-state's dependence on imported food and innovative techniques like to support a exceeding 5.9 million as of 2023. Bangladesh exemplifies high physiological density in South Asia's fertile but flood-vulnerable Ganges-Brahmaputra Delta, sustaining approximately 173 million people on covering about 59% of its territory, yet constrained by soil degradation and frequent inundation. The region's density amplifies food production challenges, with yields intensified through cycles, though per capita remains critically low at under 0.05 hectares. In , physiological density concentrates along the Valley and , where over 95% of the 110 million resides on comprising roughly 2.4% of the country's total area, yielding densities exceeding 2,500 people per square kilometer of cultivable . from the enables high-output , but salinization and urban encroachment threaten . Other notable areas include the , with densities around 1,000-1,500 per square kilometer of bolstered by and systems covering 55% of its surface as agricultural. Japan faces similar pressures, its 12% supporting 125 million via terraced rice paddies and precision methods, though imports fulfill over 60% of caloric needs. These regions highlight causal links between limited cultivable area, , and adaptive strategies to avert shortages.

Low Physiological Density Regions

Regions with low physiological density feature a sparse relative to available , enabling extensive agricultural operations, higher food production potential, and often surplus exports that bolster global food supply chains. These areas typically encompass vast, fertile plains or steppes in temperate or continental climates, where and large-scale farming predominate due to minimal human pressure on resources. In 2019, countries like , , and exemplified this pattern, with exceeding 1 per person, contrasting sharply with global averages around 0.2 hectares per person. Kazakhstan leads with 1.63 hectares of per capita, yielding a physiological of approximately 61 persons per square kilometer of , primarily across its northern steppes dedicated to and cultivation. This low supports 's role as a top global exporter, with production reaching 14.6 million metric tons in the 2022/2023 season, facilitated by extensive and favorable black soil (). Australia's 1.24 hectares per capita translates to about 81 persons per square kilometer of , concentrated in southeastern belts and pastoral zones, where and dominate despite constraints in non-arable interiors. Canada's prairies offer 1.04 hectares per capita, or roughly 96 persons per square kilometer, underpinning exports of canola, , and pulses totaling over 50 million metric tons annually as of 2023.
CountryArable Land (ha/person, 2019)Physiological Density (persons/km² arable)
1.63~61
1.24~81
1.04~96
0.88~114
Such regions mitigate risks of , allowing sustainable yields through and technology adoption, though challenges like from or climate variability persist; for instance, Australian farmland degradation affects up to 50% of agricultural land due to and erosion. Low density also correlates with economic advantages, including lower food import dependency—Canada's self-sufficiency rate exceeds 200% for grains—and opportunities for or on underutilized parcels. However, sparse settlement can hinder development, elevating transport costs for remote farms. In broader terms, these areas counterbalance high-density pressures elsewhere, contributing to net positive global amid rising demand projected to increase 50% by 2050.

Limitations and Critiques

Methodological Shortcomings

The calculation of physiological density hinges on the accurate measurement of arable land, defined by the Food and Agriculture Organization (FAO) as land under temporary crops, temporary meadows for mowing or pasture, land under market or kitchen gardens, and land temporarily fallow (less than five years). However, these statistics rely heavily on self-reported data from national governments, leading to inconsistencies arising from disparate classification criteria, incomplete surveys, and varying interpretations of "arable" across countries with different climatic and topographic conditions. For instance, permanent pastures may be included or excluded inconsistently, rendering cross-country comparisons unreliable. Analysis of FAOSTAT land use data has revealed discrepancies between aggregated FAO figures and underlying national reports, often exceeding 10-20% in certain categories due to harmonization failures and estimation errors. A core methodological flaw lies in treating all arable land as equivalently productive, without adjusting for variations in soil quality, fertility, irrigation potential, or suitability for specific crops. This uniform assumption overlooks how marginal lands—technically arable but yielding low outputs due to erosion, salinity, or poor drainage—distort the metric's representation of food production capacity. Economic geographers have critiqued this by developing quality-adjusted density measures that incorporate biome types, proximity to water sources, and historical productivity data, demonstrating that standard physiological density can misrepresent sustainable population support by up to 30-50% in heterogeneous regions. Additionally, the metric's reliance on land area alone ignores cropping intensity, such as multiple harvests per year or innovations, which materially alter output per but are not reflected in static inventories. Data collection lags—often based on censuses every 5-10 years—further compound issues, as rapid or reclamation efforts go unaccounted for until subsequent updates. These shortcomings limit physiological density's utility for precise forecasting of agricultural strain, particularly in dynamic economies where yield-enhancing technologies have historically decoupled from land expansion needs.

Ignored Factors in Modern Contexts

Traditional calculations of physiological density fail to incorporate the substantial enhancements in agricultural productivity driven by technological innovations, which have decoupled population support from arable land constraints. The Green Revolution, beginning in the 1960s, introduced high-yielding crop varieties, synthetic fertilizers, and improved irrigation, tripling global cereal production between 1961 and 2000 despite only a 30% expansion in cultivated land area. Cereal yields rose from 1.4 tonnes per hectare in the early 1960s to 2.7 tonnes per hectare by 1989–1991, with further gains to approximately 4 tonnes per hectare by the 2020s through precision farming, genetic modifications, and mechanization. These advancements allow high-density regions to sustain larger populations without proportional increases in arable land, rendering static density metrics misleading for assessing modern carrying capacity. Global trade networks further undermine the metric's relevance by enabling food imports that offset domestic arable land limitations, particularly in urbanized or arid nations. , with one of the world's highest physiological densities exceeding 100,000 people per square kilometer of , imports over 90% of its supply, relying on efficient markets rather than local production. Similarly, wealthy like and , characterized by minimal , maintain through substantial imports funded by non-agricultural revenues such as oil exports. This import dependence highlights how physiological density overlooks economic capacity and advantages in , where countries specialize in high-value sectors while sourcing staples externally, thus avoiding the food insecurity implied by high ratios alone. Additional overlooked elements include spatial and qualitative variations in productivity, such as soil degradation, , and input dependencies, which static measures treat uniformly. Differences in yields due to local practices or can vary yields by factors of two or more across comparable land types, yet physiological density aggregates without adjustment. Moreover, reliance on fossil fuel-derived fertilizers and introduces vulnerabilities to price shocks and environmental limits, potentially eroding gains in high-density areas over time, though these dynamic risks are absent from the metric's framework.

Debates and Contemporary Relevance

Malthusian Concerns vs. Innovation Narratives

Malthusian perspectives interpret rising physiological density as a harbinger of resource strain, positing that outpaces agricultural output, leading to inevitable checks such as or conflict when per diminishes. Thomas Malthus's 1798 essay argued that population expands geometrically while food production grows arithmetically, a dynamic exacerbated in regions of high physiological density where limited cultivable land amplifies pressure on yields. Empirical studies of pre-industrial eras support this linkage, showing that a 1% increase in land productivity correlated with only a 0.59% rise in around 1500 CE, constraining and maintaining stagnation. Contemporary adherents, including some environmental analysts, warn that global physiological density—now exceeding 1,500 people per square kilometer of in aggregate terms—signals vulnerability to disruptions like or climate variability, potentially reverting to Malthusian traps absent preventive measures. Counterarguments rooted in innovation narratives emphasize technological advancements that have decoupled population density from food scarcity, falsifying Malthusian forecasts through exponential yield gains. Since the 1960s , which introduced high-yielding dwarf and varieties alongside synthetic fertilizers and , global cereal yields have more than tripled, with production per rising from approximately 1.3 metric tons in to over 3.5 metric tons by 2020. Overall agricultural output expanded at an average annual rate of 2.3% from to 2020, outstripping and enabling sufficiency for a that quadrupled to over 8 billion. Innovations such as the Haber-Bosch process for ammonia synthesis, which boosted nitrogen fertilizer availability, and have intensified land use without proportional arable expansion, maintaining caloric availability despite a halving of per person since 1960. This tension persists in policy debates, where Malthusians highlight externalities like aquifer depletion and from intensified farming—evident in regions like , where physiological densities surpass 2,000 per arable km²—arguing that finite planetary boundaries cap indefinite innovation. Proponents of technological optimism, however, cite historical precedents where predicted collapses, such as Paul Ehrlich's 1968 famine warnings for the 1970s and 1980s, failed due to unforeseen breakthroughs like , which have further elevated yields by 20-30% in adopting areas since the . Data indicate no systemic global food shortages attributable to density alone; undernourishment rates have declined from 23% in 1990 to about 9% in 2023, primarily due to distribution inefficiencies rather than production limits. Thus, while physiological density underscores risks, sustained yield escalations via research and investment have empirically overridden Malthusian constraints, fostering abundance over apocalypse.

Applications in Policy and Forecasting

Physiological density serves as a key metric in national policies to quantify the pressure exerted by on limited , guiding investments in agricultural intensification and sustainable practices. For instance, Papua New Guinea's National Food Security Policy (2018-2027) calculates the country's physiological density at 164 persons per square kilometer of , noting an increase from 86 persons per square kilometer in prior assessments, which underscores the need for expanded crop diversification, improved , and enhanced rural to avert future shortages. Similarly, Rwanda's highlights a physiological density exceeding 430 inhabitants per square kilometer of , attributing rapid farmland fragmentation to this pressure and advocating for , terracing, and measures to maintain productivity. In broader policy applications, international bodies like the (FAO) incorporate physiological density into assessments of demographic impacts on land resources, informing aid allocation and development strategies that prioritize regions facing ecological strain from high densities. This metric aids in evaluating the feasibility of self-sufficiency, prompting policies such as subsidies for high-yield varieties or expansion in nations like , where densities surpass 2,500 persons per square kilometer of , necessitating reliance on imports alongside domestic yield enhancements. For forecasting, physiological density projections integrate population estimates with availability to anticipate limits and food supply gaps. Analysts apply it to model scenarios where unchecked elevates densities, potentially exceeding sustainable thresholds without technological offsets, as seen in FAO evaluations linking rising densities to and forest encroachment. Such projections, often combined with yield forecasts, underpin long-term planning; for example, a projected density increase signals the urgency of policies promoting or , helping governments preempt vulnerabilities in global supply chains amid climate variability. This approach emphasizes causal links between land constraints and output, rather than assuming indefinite innovation will negate pressures.

References

  1. [1]
    Population Density - National Geographic Education
    Jul 25, 2024 · Physiological density is a calculation of how many people in the country are supported by a unit of arable land. This can reveal how much ...<|separator|>
  2. [2]
    Physiological Density: AP® Human Geography Crash Course Review
    Mar 1, 2022 · It measures the total number of people and divides them between the total amount of farmable land. So the amount of land to be used is much ...
  3. [3]
    Population Density | Definition, Measurements & Examples - Lesson
    Physiological population density is a measurement of the total number of people living on an area of arable or farmland capable of producing food.What is Population Density? · Physiological Population Density
  4. [4]
    Physiological Density - (AP Human Geography) - Fiveable
    Physiological density is a measurement that represents the number of people per unit area of arable land. This metric provides insights into how well a region ...
  5. [5]
    [PDF] using different types of density to understand land use - Census.gov
    The activity involves calculating arithmetic (population), agricultural, and physiological densities, and creating bar graphs to visualize density levels.
  6. [6]
    How do you calculate physiological density? | CK-12 Foundation
    To calculate physiological density, you can use the following formula: Physiological Density = Total Population / Arable Land Area.
  7. [7]
    2.10 KEY TERMS DEFINED – Introduction to Human Geography
    Arithmetic density: The population of a country divided by its total land ... Physiological density: The number of people per unit area of arable land.
  8. [8]
    Arithmetic Density - (AP Human Geography) - Fiveable
    Arithmetic Density is a measure that calculates the number of people living per unit area of land, usually expressed as individuals per square mile or square ...
  9. [9]
    Population Density: AP® Human Geography Crash Course | Albert.io
    Mar 1, 2022 · Physiological density is the number of persons per unit of agricultural land. ... Arithmetic density is more useful when you study ...
  10. [10]
    Countries by Population Density 2025
    For example, Russia has a population density of just 9/km², while Canada is even lower at 4/km². The United States of America has a population density of 38 ...
  11. [11]
    Which countries are most densely populated? - Our World in Data
    Sep 6, 2019 · The five most densely populated are Macao, Monaco, Singapore, Hong Kong, and Gibraltar. Singapore has 8177 people per km², around 200 times as ...
  12. [12]
    Population Density by Country in 2023 (World Map) | database.earth
    In the year 2023, the world had a population density of 62.1 (people/km²). The country with the highest population density was Monaco with a density of ...<|control11|><|separator|>
  13. [13]
    Population density (people per sq. km of land area) | Data
    Sts. 2023. 161. Moldova. 2023. 85. Monaco. 2023. 18,693. Mongolia. 2023. 2. Montenegro. 2023. 46. Morocco. 2023. 85. Mozambique. 2023. 43. Myanmar. 2023. 83.
  14. [14]
    Types of Population Density? - Pan Geography
    Jun 2, 2022 · Further, arithmetic density indicates the number of persons residing per unit area on the earth's surface. It is a crude indicator of population ...<|separator|>
  15. [15]
    Agricultural Density - (AP Human Geography) - Fiveable
    Definition. Agricultural density is the ratio of the number of agricultural workers to the amount of arable land in a given area.
  16. [16]
    17. 2.6 measuring the impact of population - Open Text WSU
    Agricultural density has the same denominator as physiological density, but has a different numerator. Instead of using the entire population, it only uses ...
  17. [17]
    Lesson 2 Using Population Density Flashcards | Quizlet
    Arithmetic density is used to describe where people live in the world. Physiological density compares population to resources.
  18. [18]
    Agricultural Population Density: Definition | Vaia
    Nov 26, 2022 · Physiological density measures number of people per unit are of arable land, whereas agricultural density measures numbers of farms (or farming ...Agricultural Density and... · Agricultural Density of USA · References<|control11|><|separator|>
  19. [19]
    APHUG 2 Vocab Flashcards - Quizlet
    Example: Egypt has a higher agricultural density than the United States. Two countries can have similar physiological densities, but they many produce ...
  20. [20]
    [PDF] MEASUREMENT OF GEOGRAPHIC AREA - Census.gov
    A fruitful geo-historical study might he undertaken to trace the origins and development of the man-land ratio concept of population density, for which study ...
  21. [21]
    A Case for Population Geography - jstor
    the man-land ratio in its fullest meaning, or what is called the general economic density of population. The numerator of such a ratio should involve not ...<|separator|>
  22. [22]
    The Man-Land Ratio and its Effects on Agriculture | SpringerLink
    The Man-Land Ratio and its Effects on Agriculture. Chapter. pp 19–38; Cite this chapter. Download book PDF · The Rural Economy of Guangdong, 1870-1937. The Man ...
  23. [23]
    Population and resources on the minor Danish islands 1860,1900 ...
    e.g. Trewartha 1953). The physiological density describes a population-resource relationship and equals what in animal ecology has been termed "economic ...
  24. [24]
    Population Density and Distribution.
    May 16, 2020 · Which is simply the man-land ratio. Arithmetic Density = The number of individuals per unit geographic area/Total area of that geographic area.
  25. [25]
    (PDF) Human Carrying Capacity Is Determined by Food Availability
    Aug 10, 2025 · In this study, food supply is proposed as the variable which best accounts for the human carrying capacity.<|separator|>
  26. [26]
    Managing Land Carrying Capacity: Key to Achieving Sustainable ...
    We review the major natural resources that limit food production and discuss possible options, measures, and strategies to sustainably feed a human population ...
  27. [27]
    [PDF] Food Security and Nutrition in Bangladesh
    ... Security and Nutrition in ... agricultural extension services, and food imports. Bangladesh's rising population is straining its agricultural resources.
  28. [28]
    [PDF] High Physiological Density high physiological density
    High physiological density refers to the number of people living per unit of arable land in a given area. This concept is crucial in understanding the ...
  29. [29]
    Food crisis looms in Bangladesh due to degraded soil - Eco-Business
    Jan 10, 2023 · Excessive use of chemical fertilisers is causing soil health degradation in Bangladesh, putting the country's food security at risk.<|separator|>
  30. [30]
    [PDF] IMPACTS OF DEMOGRAPHIC CHANGES ON FORESTS AND ...
    population density such as physiological density (population divided by the amount of arable land) or ecological optimum (density of population which can be ...
  31. [31]
    Improving environmental sustainability of agriculture in Egypt ...
    Sep 10, 2023 · Egypt has developed the Sustainable Agricultural Development Strategy to encourage environmentally friendly practices among farmers, such as crop rotation and ...Missing: physiological | Show results with:physiological
  32. [32]
    Impact of the sustainable agricultural practices for governing soil ...
    It is well known that global warming and incorrect agricultural practices can determine soil degradation and depletion of the SOM stock by inducing progressive ...
  33. [33]
    [PDF] “ RWANDA ENVIRONMENTAL POLICY “
    physiological density is more than 430 inhabitants/km. 2 . As a result of the high population pressure, there is a rapid reduction of the size of farmland ...
  34. [34]
    Soil Degradation, Land Scarcity and Food Security - MDPI
    In this paper, I first briefly introduce the present situation concerning agricultural production, natural resources, soil degradation, land use and the ...Missing: physiological | Show results with:physiological
  35. [35]
    Arable land (% of land area) - Singapore - World Bank Open Data
    Arable land (hectares) · Arable land (hectares per person) · Agricultural land (% of land area) · Forest area (% of land area) · Agricultural land (sq. km).
  36. [36]
    Bangladesh - UNdata
    General Information, Region: Southern Asia, Population (000, 2024): 173 562 a, Pop. density (per km2, 2024): 1 333.4 a, Capital city: Dhaka.
  37. [37]
  38. [38]
    The Nile Delta's Disappearing Farmland - NASA Earth Observatory
    Dec 14, 2021 · Now there are 30 times that number of people living in Egypt, with 95 percent of them clustered in towns and cities in the Nile's floodplain.Missing: physiological | Show results with:physiological<|separator|>
  39. [39]
    Countries ranked by Arable land (hectares per person) - IndexMundi
    Dec 28, 2019 · Arable land (hectares per person) - Country Ranking ; 1, Kazakhstan, 1.63 ; 2, Australia, 1.24 ; 3, Canada, 1.04 ; 4, Argentina, 0.88 ...
  40. [40]
    Arable land (hectares per person) - World Bank Open Data
    Arable land (hectares per person) · Arable land (hectares) · Arable land (% of land area) · Agricultural land (% of land area) · Forest area (% of land area).Missing: physiological | Show results with:physiological
  41. [41]
    Arable land (% of land area) - Glossary | DataBank
    Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, ...Missing: criticisms | Show results with:criticisms
  42. [42]
    Origin of dislocations in FAO data between 1991 and 1992 (via ...
    Oct 18, 2023 · Thus, data on agricultural land in different climates may not be comparable. For example, permanent pastures are quite different in nature and ...
  43. [43]
    Identifying Inconsistencies in Data Quality Between FAOSTAT ...
    Sep 18, 2024 · The objective of this paper is to investigate discrepancies between the sources and individual source inconsistencies using three different approaches.
  44. [44]
    Adjusting population density to account for land quality - CEPR
    Dec 19, 2020 · This column develops a new measure of land quality which takes into account agricultural productivity, biomes, proximity to the sea, navigable rivers, large ...
  45. [45]
  46. [46]
    Green Revolution: Impacts, limits, and the path ahead - PNAS
    Although populations had more than doubled, the production of cereal crops tripled during this period, with only a 30% increase in land area cultivated (1).
  47. [47]
    Towards a New Green Revolution
    The gains in production were dramatic: world cereal yields jumped from 1.4 tonnes per hectare in the early 1 960s to 2.7 tonnes per hectare in 1989-91. Over the ...
  48. [48]
    Physiological Population Density: Definition | StudySmarter
    Nov 28, 2022 · Physiological Population Density: The ratio of people to farmland (arable land), usually applied to countries or country subdivisions.
  49. [49]
    [PDF] Malthusian Population Dynamics: Theory and Evidence
    The Malthusian theory inspired by Malthus (1798)14, suggests that the worldwide stagnation in income per capita over this epoch reflected the counterbalancing ...
  50. [50]
    DYNAMICS AND STAGNATION IN THE MALTHUSIAN EPOCH - PMC
    In line with theoretical predictions, a 1 percent increase in land productivity raises population density in 1500 CE by 0.59 percent, an effect that is also ...
  51. [51]
    Crop Yields - Our World in Data
    Improvements in crop yields have been essential to feed a growing population while reducing the environmental impact of food production at the same time.Missing: 1960 | Show results with:1960
  52. [52]
  53. [53]
    Are Malthus's Predicted 1798 Food Shortages Coming True ...
    Sep 1, 2008 · We were, he argued, condemned by the tendency of population to grow geometrically while food production would increase only arithmetically. For ...
  54. [54]
    The Malthusian Contradiction | The Daily Economy
    Dec 5, 2022 · Not only did food production grow geometrically, it grew even faster than the population, so that the world can feed today's eight-billion far ...
  55. [55]
    [PDF] Papua New Guinea National Food Security Policy 2018-2027
    The estimated arable land area in PNG is 44,438 km2 giving a. 'physiological' density of 164 persons per square kilometer, an increase of 78 persons from 86 ...