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Commentary

Re-Framing the Latent Nexus between Land-Use Change, Urbanization and Demographic Transitions in Advanced Economies

1
Department of Agricultural and Forestry Sciences (DAFNE), Tuscia University, I-01100 Viterbo, Italy
2
Department of Economics and Law, University of Macerata, I-62100 Macerata, Italy
3
National Research Council of Italy (CNR), I-85050 Tito Scalo, Italy
4
Mathematics, Computer Science and Economics Department, University of Basilicata, I-85100 Potenza, Italy
5
Global Change Research Institute CAS, 37005 Ceske Budejovice, Czech Republic
6
Departamento de Economia y Ciencias Sociales, Universitat Politècnica de València, ES-46022 València, Spain
*
Author to whom correspondence should be addressed.
Sustainability 2021, 13(2), 533; https://doi.org/10.3390/su13020533
Submission received: 16 December 2020 / Revised: 28 December 2020 / Accepted: 4 January 2021 / Published: 8 January 2021
(This article belongs to the Section Sustainable Urban and Rural Development)

Abstract

:
The linkage between land-use change and demographic transitions in advanced countries has becoming increasingly complex because of the mutual interplay of environmental and socioeconomic spheres influencing the degree of sustainability of both regional and local developmental processes. The relationship between urbanization and economic development has been relatively well investigated by clarifying the consequent impacts on population dynamics. In the early phases of urbanization and economic development, population grew at a particularly high rate, declining (more or less rapidly) in the subsequent time interval. Improving income and education opportunities in urban settings resulted in further urbanization, leading to progressively lower fertility. At the same time, a more general view on the relationship between land-use change and demographic transition focusing on a broader spectrum of landscape processes (including farmland abandonment and forest expansion) at larger spatial scales (from regional to country and continental scale) is increasingly required. The present study provides an integrated view of the relationship between land-use change, urbanization, and demographic transitions with specific focus on Europe. Considering divergent processes of landscape transformations in a unified socioeconomic view may evidence the intimate linkage with recent population trends in both urban and rural areas.

1. Introduction

Demographic transitions and land-use change are intrinsically bonded since human activity is considered a key force of landscape transformation [1,2,3]. While climate regimes have a continuous influence on the development of vegetation, human activities with the consequent effects on soils have left even more evident traces that date back to the Neolithic era, at least as regards densely populated areas of the world [4]. In recent years, the interest of demographers in the relationship between population dynamics and the environment has grown significantly [5,6,7]. One of the most important areas of research in this sense concerns the effects of human activities on natural environments and rural landscapes, especially as far as land-use change is concerned [8]. Landscape modifications usually occur thanks to several interacting processes, which may differ according to particular local and regional conditions, being intrinsically molded by external forces [9].
To understand spatial distribution and extent of land-use change, landscape transformations in the second half of the 20th century were examined in the United States by county, considering dominant trends of population, agriculture, and urbanized soil through a variety of data from different sources and using an ecological classification of the region as a reference [10]. This study documented landscape dynamics characteristic of advanced economies all over the world [4]. Since the early 1970s, a convergence towards non-metropolitan areas was observed determining, together with a decrease in the average size of families and a reduction in local population density, important transformations in traditional settlement models, basically compact and radio-centric [8]. In 2000, the low-density urban development area beyond the periphery exceeded the higher-density urbanized development area by almost 15 times. At the same time, innovations in terms of efficiency and automation, together with the formation of commercial agricultural conglomerates, have favored a stable positioning of the cultivated areas through the corn belt and part of the western districts between 1950 and 2000. Conversely, activities related to the production of timber in forests and urbanization were recognized among the most influential pressures on land cover [9]. In this context, expanding rural areas together with the abandonment and subsequent conversion of cultivated land, mainly on the east coast of the United States, were very important, because they affect large areas of the country as well as the functioning of ecological systems and the potential for recovery [10].
The interest of demographers in environmental issues has clearly been influenced by population dynamics and economic development. Demographic research on environmental issues other than the intrinsic role of physical and natural constraints has been occasionally carried out [11]. Hogan focused on studies concerning the link between demography and the environment with a particular focus on migratory phenomena through a holistic approach. In fact, subsequent studies, based on the same approach, have tried to investigate this linkage by studying migration of small farmers’ families in Brazil. Empirical findings show that areas characterized by grazing activities or perennial cover have contributed to the emigration of the new generations, by now grown up, but this phenomenon is not directly linked to any change in land use, in contrast to more classic models of family life. In essence, it would be appropriate to incentivize rural funding that slows down the exodus and develops the potential of these areas [12]
Just as land-use transformations may generate migratory flows and vice versa, changes in environmental conditions seem to be intrinsic drivers of migratory flows. In this sense, the relationship between climate change and migration can have different characteristics depending on the environmental disturbance; this situation has generated a category of migrants who are defined as “environmental migrants” [13]. Using data from the Chitwan Valley Family Study (CVFS) as input of risk models, Massey et al. [14] investigated the relationship between changing environmental conditions and migratory flows in Nepal. The study found that environmental migrations are primarily related to climate change but also to intrinsic processes of deterioration in the quality of life. Factors such as the distance of migration, gender, and ethnicity distinctions affect to a greater or lesser extent, the nature of the repercussions generated by these changes. Parry et al. [15] focused on the role of the provision of public services and the availability of natural resources in rural settlement models, based on data obtained from historical surveys, aimed at reconstructing migration. It was demonstrated that behind clustering around urban centers, there would be a lack of goods and services typical of urbanized areas, above all the lack of infrastructure for access to education [16].
Basically, the influence of the environment is not yet properly integrated into standard demographic theories. For instance, studies should increasingly aim at identifying the main economic, political, and social factors through which the environment influences migration and other demographic processes. In fact, by varying the environmental conditions, the quality and quantity of services both in the territory and in the urban centers consequently change. The outlined framework confirms that in advanced economies, either in North America or in Europe, the dizzying increase of the population, especially in the early 2000s (Figure 1), put pressure on every type of ecosystem, generating all sorts of changes with respect to natural conditions, in turn triggering migratory flows, both internal and international, with a strong impact on the environment. Consequently, more attention needs to be paid to the role of decision-making policies regarding (internal and international) migration which can be used to guide new research aimed at predicting and studying the spatial distribution of population and human footprints [17].

1.1. Forest Transition and Demographic Transition: The Intrinsic Linkage between Theories

1.1.1. Landscape Transitions Led by Forest Change in Affluent Countries

The forest transition theory derives from stylized facts observed in some countries as far as long-term expansion of wooded areas is concerned. This theory suggests a comparison between what was deforestation in formerly developing countries, and deforestation in countries that are still developing today [18]. The transition can depend on many factors and those factors considered anthropic are dominant: economic development, industrialization, and urbanization. These three phenomena translate into a conurbation of population near the urban centers, attracted by the benefits and comforts that the city is able to offer compared to rural areas where life is clearly harder. Based on this assumption, the reduction of tree-covered areas is supposed to be the greatest in the initial stages of a country′s economic development, decreasing in the growth phase and finally stabilizing, or even reversing, in truly advanced countries (Figure 2). As the rate of forest use decreases, forested areas end up increasing, advancing mainly at the expense of agricultural areas left uncultivated due to the depopulation of the countryside linked to urbanization processes [19]. Even in Italy, according to the most recent document on the state of Italian forests [20] and other scientific papers [21,22,23], since the first half of the twentieth century, forest areas are growing. In particular, in the last 25 years they have gone from 31% to 38% coverage of the total national surface. Forest and demographic transition could be intimately connected because they depend on common factors and they can trigger a series of socio-economic events with considerable effects on the environment.

1.1.2. Demographic Transitions in Advanced Economies

Demographic transition (DT) symbolizes the development from high to low birth, fertility, and death rates by means of a country maturing from a preindustrial to an industrialized reality with subsequent socio-environmental differences [24,25,26]. It occurred in western countries from the 18th and 19th centuries onward and during the second half of the 20th century around the world [27,28,29]. In demography studies, two kinds of demographic transitions can be distinguished, transforming high fertility and mortality rates characterized by young populations toward decreasing demographic rates and population ageing [30,31,32,33,34,35,36]. The first demographic transition showed birth and death rates decreasing from traditionally high levels [37]. It occurred in the 1950s and 1960s, reaching a peak of urban concentration at the end of the first demographic transition in the 1970s [38,39].
However, following [40], the early signs of the second demographic transition emerged in the 1950s when divorce rates were rising, especially in the United States and northern/central Europe. From the second half of the 1960s onward, fertility started falling from its “baby boom” high. Moreover, the trend in ages at first marriage was reversed again and the number of singles started rising. It became apparent that premarital cohabitation was on the rise and that divorce and widowhood were followed less commonly by remarriage and more often by post-marital cohabitation. Since the 1960s, there was a drastic revolution in the pattern of household formation and reproduction in north-western Europe [27]. The age at first marriage rose again after falling to an unprecedented low during the 1960s. Premarital and post-marital cohabitation improved and procreation in such informal unions soon followed. Divorce rates continued to increase together with high separation rates between cohabitants. In the 1970s, total fertility rates in western countries of Europe essentially reflected differential postponement; while in the 1990s, they mainly capture differential degrees of catching up after age 30 [27]. With the 1980s, the second demographic transition was therefore related to demographic changes, e.g., decreasing birth rates, rising life expectancy, and structural changes in households (decreasing size, increasing number, and diversity) as well as the destabilization of traditional patterns of marriage, family, and divorce linked to societal changes in life scripts, lifestyles, and professional careers [36,40,41,42]. Urban areas were the first to be affected by these changes [41,43,44]. The second demographic transition has happened together with social changes and demographic redistribution developments visible at regional scale [45]. It informs the revolution in, e.g., individual and household characteristics, fertility, sexual and childbearing behaviors [33,34,36,37].
Demographic transitions can be assumed to be an actual sign of “a pathway to change” which has happened in the contemporary societies and economies [28]. They triggered a greater heterogeneity in population dynamics, time of childbearing, household size, individual choices concerning marriage or cohabiting, and a widespread population ageing [46,47,48,49]. Demographic dynamics are sensitive to economic episodes [29,30,50,51,52,53], exposing a real bond among socio-demographic and economic variations [29,54,55]. Demographic factors, e.g., the changing rates of marriage, cohabitation, and separation [55], have been evident during the second demographic transition [56]. Moreover, attitudes to gender roles emerged as women’s socioeconomic characteristics [27,42,56,57], e.g., their labor market engagement [58,59] and their educational achievement [60,61] defined new fertility purposes and behaviors [56]. With demographic transitions, life expectancy turns out to be longer with joint decreases in mortality and fertility, which can be detected following the spatial variation of population growth rates [30,32,62,63,64]. In fact, the demographic transitions reflect each socioeconomic change along the urban–rural gradients [65,66], changing the distribution of economic roles at the territorial scale, e.g., regional or metropolitan [31,67,68].
Demographic and family behaviors in southern Mediterranean Europe, in terms of couple formation, fertility, and living in the parental household, are currently quite different from those of central and northern Europe; the explanation of these individual behaviors may also lie in the socio-cultural specificity of Mediterranean Europe [69]. Family ties may represent the keystone of socio-demographic evolution in Europe, and especially in specific parts of Europe such as southern and eastern countries [70,71,72]. The patterns of family relationships (between spouses, between parents and children, between older and younger generations) that largely characterized, at least until a few years ago, southern European families may be considered quite close to the intra-household relationships in North Africa [69]. Population growth has been a major driver for the rapid expansion of both large- and medium-size city regions [73]. Rapid population growth was one of the most relevant characteristics of the post-war development of European cities, especially along the Mediterranean arc [74,75,76,77]. In southern Europe, demographic data indicate two patterns due to different stages of demographic transition. Population in the five southern European EU-member countries doubled between 1950 and 2000, while that of the remaining Mediterranean countries increased more than nine-fold [38,78,79,80].

2. Landscape, Urbanization Processes, and Demographic Transitions

Based on the intrinsic integration of theories of forest transition and demographic transition, the present section focuses on the relationship between land-use changes and demographic evolution of metropolitan regions. This section discusses whether discontinuous and dispersed urban growth can be associated with a specific demographic transition, with a specific focus on Europe [81]. A specific analysis of the relationship between urbanization processes and demographic transition was relatively scarce and oriented toward local exercises and applications [82]. However, urbanization and economic development start (more or less) simultaneously: specifically, in the early phases of urbanization and economic development, the population growth rate increased, but it declined in succeeding years [83]. Moreover, advancing urbanization reduces fertility since urban growth and demographic transition share a local connection that is worthy of investigation [1]. Improving income and education opportunities in urban settings results in urbanization, leading to lower fertility [84]. Demographic transitions reflect socioeconomic processes influencing urban configurations, shaping socio-spatial gradients, and altering the distribution of economic functions over large metropolitan regions [85]. Socio-demographic evolution may reflect both apparent or hidden changes in urban structure and functions, re-densifying and spreading metropolitan landscapes [80,86,87,88].
Following economic and social transformations, the demographic regime has changed in developed countries and is now substantially different from the one observed in the immediate aftermath of World War II [40]. Heterogeneous population dynamics associated with the ’second demographic transition’ have involved new family relations, fewer and later marriages, declining fertility rates, ageing populations, postponement of childbearing, and smaller households [41,45,49,89]. Such dynamics are having a powerful transformative effect on both inner cities and suburbs, re-densifying these areas and creating more diverse and complex social landscapes [86,87,88]. Recession shocks often lead to added spatial complexity within the structural changes of urban populations and this may be reflected in the local-scale outcomes of the second demographic transition [90,91,92].
Trends over time in socioeconomic indicators (e.g., fertility rates)—reflecting (directly or indirectly) the demographic dynamics associated with the second transition—have rarely been associated with heterogeneous settlement dynamics depending on suburbanization [93]. The short-term impact of the economic crisis on settlement dynamics was also occasionally investigated. Generally speaking, recent urbanization dynamics coincide with an increase in low-density urbanization together with an abandonment of rural land, an effective agricultural transition, and a new population structure influenced by recent demographic dynamics [94]. For instance, several influences may contribute to the high fertility in suburbs, correlated with family-friendly areas, populated by larger and lower density houses where families are more prone to childbearing [95,96,97]. Since the demographic transitions have been accompanied by a period of urbanization, e.g., urban dispersion, today’s young population, eager to live in low-density contexts in larger houses and with expectations of having children, finds itself restrained in dispersed contexts where it is essential to use a car to reach a service or another activity [98]. This outcome emerged as a basic characteristic of suburbs, first in the United States and then in Europe: as a matter of fact, suburban life has been considered as a part of the ‘American dream’, picturing younger and larger families. Nevertheless, today, suburbs are aging both in North America, and in Europe [99].
The theory of demographic transition intimately links the emergence of a ‘small family ideal’ with the rise in urban and industrial living, but the role of urbanization in fertility decline remains a matter of debate [100]. Rural–urban fertility differences are merely considered as a spatial manifestation of the differential steps of structural changes of society [101]. When compared to rural areas, urban living increases the costs of childrearing since cities also offer more avenues for socioeconomic mobility because of the rise of nonagricultural employment and the increased educational level of the population, thereby increasing the opportunity costs of fertility [100]. City structures were also more exposed to the negative fertility effects of financial crises. These structural forces of fertility decline are brought about and accelerated by population concentration and may thus be considered as an integral part of the urban effect [73,102,103]. Starting from similar fertility levels by place of residence, the rural–urban difference increased sharply in the opening phase of the demographic transition due to an earlier and faster fertility decline in cities [104]. Later, rural fertility levels tended to converge to the lower urban standard as the lagged decline in rural areas was also very marked [100].
Cultural factors may also explain urban–rural fertility variation [105]. The literature has revealed that individuals living in rural areas and small towns retain traditional attitudes and lifestyles, with a value orientation towards large families and a preference for extended families [106,107]. A rural and small-town population can consequently be considered a ‘family-oriented’ sub-culture within a country [108,109]. The ‘family-oriented’ sub-culture forms a normative context for couples to draw upon when they make various decisions. Cities, in turn, remain a stronghold of ‘post-modern’ values and are the places where the ‘second’ demographic transition began and spread [108]. Cities promote individual autonomy and individual choices, which usually means fewer children. There is also more heterogeneity in cities: while a ‘family-oriented’ subculture may exist there, particularly in the suburbs, cities are also places that support (or at least tolerate) the ‘culture of singlehood and childlessness’ [105].

2.1. Urbanization Processes and Demographic Transitions in Europe

Demographic transitions have coincided in Europe with a new trend of urbanization processes, where populations choose to live in suburban areas in respect to the urban city [25]. A recent territorial structure has progressively established in European countries, defining a new spatial configuration among cities and suburban centers [35,37,87,110,111,112,113,114,115] that have gradually begun to exert increasing pressure on semi-natural areas (Figure 3). Suburbanization is the most common type of development in Europe responsible for the increase of suburban areas physically separated from compact urban agglomerations [116,117,118], through the construction of related industrial infrastructures and public transport (Figure 3). The development, and the related more intense use, of road and railway networks has led to an increase in artificial barriers intersected in the European territory and in the habitats of the species that populate it, decreasing connectivity not only [119,120,121] between the habitats themselves but also their surface, with a negative effect also on the species [122]. Besides the ecological consequences of this phenomenon, observed in most European countries, there is also an evident conflict between urban and rural areas [123]. The time period between the 1950s and the early 2000s was characterized by the decline of agricultural land with the transformation of many landscapes, mainly agricultural, into predominantly urban landscapes, creating transition zones between city and countryside (e.g., [119,124,125] where crops located in plains close to large cities and well-connected areas have had the greatest impact [126,127,128].
The substantial decrease in available surfaces has led to an intensification of activities in the remaining land, making the mosaic of land use monotonous with consequent loss of vegetative species and related ecosystems [31,129,130]. Indeed, an advanced phase of fragmentation increasingly isolates the remaining habitats and ecosystems, interfering with physiological and migratory processes and producing negative effects on the information structures of flora and fauna [131,132]. Numerous studies have already demonstrated the importance of the presence, outside the forests, of single trees or small plant formations able to keep otherwise isolated habitats connected [133]. A disturbance of this equilibrium would over time also compromise the ecosystem functions of the landscape of extreme importance also for human activities.
According to the processes of the ’second demographic transition’ [42], the urban population in the whole of Europe is undergoing a further differentiation in terms of a rising diversity of household structures. The new phase of urban growth would not mostly be explicated by second demographic transition variations in some European countries, but the arrival of labor-related foreign immigrants has been of great importance. For instance, these international flows, mostly from central and eastern Europe and other developing countries, have been particularly strong, with highly segregated labor markets in Spain and other southern European countries [134,135]. They incline to settle in core cities, predominantly in low-quality neighborhoods [136] since central areas offer them more work opportunities, better public transport, cheaper housing, and easier networking among different immigrants [136,137,138,139].
The theory of demographic transition is founded on the understanding of population history, dealing with transitions in birth and death rates in developed countries over time [24,26,40]. The transition usually contains four stages: (i) death rates and birth rates are high and unevenly balanced corresponding to the late 18th century, when this balance ended in western Europe; (ii) the death rates drop rapidly due to improvements in food supply and sanitation; (iii) birth rates fall owing to access to contraception, rises in wages, urbanization, a decrease in subsistence agriculture, growth in the status and education of women, and additional social changes; and (iv) low birth rates and low death rates [140,141]. The decline in the birth rate started in the late 19th century in northern Europe. By the late 20th century, birth rates and death rates leveled off at lower rates in rich countries [141]. Though this model foresees ever-declining fertility rates, beyond a certain level of development fertility rates rise again [142]. As with all models, this is a multi-dimensional (although still partial) interpretation of population change in advanced economies. Germany, Slovenia, Italy, and Spain are some countries which have experienced an advanced stage of the ‘second demographic transition’ [29,143], as evidenced by recent rapid declines in fertility and marriage rates, the postponement of child-bearing and rising divorce rates and household numbers [138].
Simultaneously, they are undergoing interrelated processes of economic and welfare restructuring, albeit for different reasons, as (the former East) Germany and Slovenia are well into the post-socialist transformation, while Italy and Spain are moving towards post-industrial service economies [143,144,145] and ‘workfare’ states [146]. In all four countries, the ageing of urban populations has been exacerbated by the emergence of counter-urbanization and suburbanization trends during the past few decades [147]. Many of these processes are still under way, despite numerous policy efforts to ‘bring back’ capital and population to the inner urban fabric [138] (Figure 4).

2.2. Urban Development and Mediterranean Landscapes

As a paradigmatic case in Europe for rapidity of landscape changes in a truly ecologically fragile context, the determinants of urban growth observed in Mediterranean Europe include intense demographic processes driven by rural transformations and powered by land development policies causing a disproportionate expansion of urban areas [67]. Population growth has placed the Mediterranean regions at the forefront of new crucial issues, since peri-urban areas, coasts, and uplands were the areas of the highest demographic expansion. Combined with the demographic transition and the undeniable cultural change, the shift of production from industrial economy to the tertiary sector is another feature of Mediterranean urban evolution [68,145]. This transformation per se is not the dominant characteristic of the region [148].
Recently, Mediterranean cities in Europe have been relevant cases to evaluate the implications and consequences of the 2007 crisis on urban populations by considering both the short-term changes in demographic dynamics and the population redistribution at a metropolitan scale [51,136,141]. However, the combined effect of multiple drivers on urban change, such as demographic transition, suburbanization and recession (inter)acting at different spatiotemporal scales, has been rarely investigated in southern Europe and, more generally, in the whole continent [73]. Identifying similarities and differences in basic demographic indicators before and during recession may shed light on recent urban transformations in metropolitan regions under volatile business cycles [86,137,149]. City-scale changes in demographic indicators reflect recent trends in urban expansion [52,150,151] and can be easily compared with empirical evidence stemming from narrative and quantitative analysis of urban design, city planning, and land-use policy.

3. Discussion

With demographic transitions, new types of household formation through more protracted single living, premarital cohabitation, and progression to parenthood within cohabiting unions have progressively gained ground in Europe [40,152,153]. Initially, these demographic transitions appeared in northern Europe in the 1960s, spread to western Europe in the 1970s, reached southern populations in the mid-1980s and apparently expanded to central Europe as well during the 1990s. Current household types, age of childbearing and at marriage, education, and occupation are correlated to urban features, outlining similar household types in different European regions [27]. This commentary seeks to match basic knowledge in regional demography with a broader perspective typical of environmental studies. This may stimulate further research that contributes to integrating existing macro-level approaches with a micro-level analysis of individual decisions relevant to demography and social dynamics. Such frameworks can also highlight distinct urban phases, evidencing, e.g., divergent rates of fertility and mortality, marriage, and migration. Together with the role of socioeconomic background, neighborhood context, and institutional local/regional assets, empirical models should clarify how demographic processes indicative of urban–rural life cycles exert significant effects on the prominence of land uses with distinct environmental implications (e.g., urbanization, crop intensification, land abandonment, and forest recovery).
For instance, clear signs of land-use changes in Spain derived from dominant factors can represent an excellent source of data capable of informing legislators about the real effects of management choices and policies [154] (Figure 5). Political actions should offset the negative effects of these changes by incentivizing finance and development in these areas. To do this, there are simulation models that work at different scales that can provide indications and translate the conditions into scenarios characterized by demographic, economic, and political changes related to land use changes in Europe [9]. The advancement of agricultural borders is often correlated with environmental, social, and economic changes. However, it is not possible to systematically verify the hypothesis and make a generalization of the phenomenon. According to Rindfuss et al. [155], Mill′s method was used based on the agreement approach aimed at obtaining results from seven long-term case studies concerning the change of land cover in border areas. Variations were also observed in the aforementioned areas in the distribution and organization of activities in cultivated land. Recently there has been a spread of national policies that recognize and promote the protection and importance of ecosystems and open spaces. This is more difficult in countries characterized by internal and external conflicts or unstable political situations. Political-demographic control and environmental protection are distinctive targets that can influence the philosophy underlying urban and regional planning in different ways.
In the study by Orenstein and Hamburg [156], the case of Israel was investigated with the aim of verifying if these two different paradigms can coexist and influence the decision-making policies of land management. The aforementioned was chosen as a case study because, despite being a country characterized by a long history of land use and management practices based on political-demographic control, in recent years it has begun to adopt decisions that are more influenced by the environmental paradigm. This topic is clearly of broader interest, since demographic change has become a major issue regarding land-use and ‘landscape persistence’, especially in metropolitan regions. Thanks to the recent decrease in birth rates, aging, and shifting household structures, demographic change were demonstrated to significantly affect urban land use, fabric, housing markets, and infrastructures [153,154,157]. Current socioeconomic drivers of land-use change associated with globalization are producing contrasting land-use trends on a global scale. Increasing global food (and biofuel) demand, on the one hand, accelerates deforestation in areas suitable for modern agriculture, threatening natural ecosystems and biodiversity (Figure 6). On the other hand, high yields in modern agricultural systems and rural–urban migration promote the abandonment of marginal agricultural lands, encouraging the recovery of the ecosystem in mountain and desert areas and areas with low-quality soils, increasing human well-being. The transition from extensive to intensive cropping systems could increase production, while helping to save areas for the restoration and conservation of natural habitats. This new scenario stimulates a rethinking of soil and landscape conservation policies, especially in ecologically fragile areas [157,158].

4. Concluding Remarks

Humans have significantly influenced all types of ecosystems worldwide as a consequence of anthropogenic impacts. In an attempt to obtain an even greater well-being, modern societies have induced profound environmental changes at local scales. Consequently, ecological approaches have been increasingly interested in a comprehensive understanding of the overall impact of human activities on ecosystems, e.g., integrating notions and knowledge typical of human demography. A land management strategy oriented toward human-natural interactions is increasingly required to be no longer grounded exclusively on a solely political-economic approach, being in turn able to integrate environmental paradigms into management processes. A similar strategy should have a final objective of sustaining an economically viable agricultural production while keeping the environment (more or less) intact. This vision may encourage a sort of ‘holistic planning’ adapting to different spatial scales. Being flexible to new operational paradigms that are not only local, such visions take an appropriate account of flows of people or goods involving entire regions (and even continents). The theory of forest transition can specifically contribute to this new planning paradigm, demonstrating how industrialization and urbanization can lead to the abandonment of agricultural land and marginal areas, favoring the return of natural crop systems such as forests. However, such a process would not only bring positive effects, and in any case, there are still many political, social, and economic factors that prevent its advent. For such reasons, a new, interactive, and pro-active decision-making policy is necessary, given that future human activities will likely lead to ever more marked and evident changes in land use. Considering the tight linkage between land use, environmental quality, and demographic dynamics, human activities leading to profound variations in the spatial structure of landscapes should be better governed and regulated from a holistic perspective, reconnecting economic and environment targets into a ‘sustainable development’ vision.

Author Contributions

L.S. and G.Q. conceived and designed the commentary; G.E. and R.V. performed data analysis and bibliographic review; R.V. and A.G.-M. contributed materials and analysis tools and revised the paper; A.F. and R.S. wrote the paper. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Gavalas, V.S.; Rontos, K.; Salvati, L. Who Becomes an Unwed Mother in Greece? Sociodemographic and Geographical Aspects of an Emerging Phenomenon. Popul. Space Place 2014, 20, 250–263. [Google Scholar] [CrossRef]
  2. Chelli, F.M.; Ciommi, M.; Emili, A.; Gigliarano, C.; Taralli, S. Assessing the Equitable and Sustainable Well-Being of the Italian Provinces. Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 2016, 24, 39–62. [Google Scholar] [CrossRef]
  3. Smiraglia, D.; Ceccarelli, T.; Bajocco, S.; Salvati, L.; Perini, L. Linking trajectories of land change, land degradation processes and ecosystem services. Environ. Res. 2016, 147, 590–600. [Google Scholar] [CrossRef] [PubMed]
  4. Lechterbeck, J.; Edinborough, K.; Kerig, T.; Fyfe, R.; Roberts, N.; Shennan, S. Is Neolithic land use correlated with demography? An evaluation of pollen-derived land cover and radiocarbon-inferred demographic change from Central Europe. Holocene 2014, 24, 1297–1307. [Google Scholar] [CrossRef] [Green Version]
  5. Incerti, G.; Feoli, E.; Salvati, L.; Brunetti, A.; Giovacchini, A. Analysis of bioclimatic time series and their neural network-based classification to characterise drought risk patterns in South Italy. Int. J. Biometeorol. 2007, 51, 253–263. [Google Scholar] [CrossRef]
  6. Bajocco, S.; Salvati, L.; Ricotta, C. Land degradation versus fire: A spiral process? Prog. Phys. Geogr. Earth Environ. 2010, 35, 3–18. [Google Scholar] [CrossRef]
  7. LaMonica, G.R.; Recchioni, M.C.; Chelli, F.M.; Salvati, L. The efficiency of the cross-entropy method when estimating the technical coefficients of input–output tables. Spat. Econ. Anal. 2020, 15, 62–91. [Google Scholar] [CrossRef]
  8. VanWey, L.K.; D’Antona, Á.O.; Brondízio, E.S. Household demographic change and land use/land cover change in the Brazilian Amazon. Popul. Environ. 2007, 28, 163–185. [Google Scholar] [CrossRef]
  9. Verburg, P.H.; van Berkel, D.B.; van Doorn, A.M.; van Eupen, M.; van den Heiligenberg, H.A. Trajectories of land use change in Europe: A model-based exploration of rural futures. Landsc. Ecol. 2010, 25, 217–232. [Google Scholar] [CrossRef]
  10. Brown, D.G.; Johnson, K.M.; Loveland, T.R.; Theobald, D.M. Rural land-use trends in the conterminous united states, 1950–2000. Ecol. Appl. 2005, 15, 1851–1863. [Google Scholar] [CrossRef] [Green Version]
  11. Pebley, A.R. Demography and the Environment. Demography 1998, 35, 377–389. [Google Scholar] [CrossRef] [PubMed]
  12. VanWey, L.K.; Guedes, G.R.; D’Antona Álvaro, D.O. Out-migration and land-use change in agricultural frontiers: Insights from Altamira settlement project. Popul. Environ. 2011, 34, 44–68. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Bates, D.C. Environmental Refugees? Classifying Human Migrations Caused by Environmental Change. Popul. Environ. 2002, 23, 465–477. [Google Scholar] [CrossRef]
  14. Massey, D.S.; Axinn, W.G.; Ghimire, D.J. Environmental change and out-migration: Evidence from Nepal Associated Data. Popul. Environ. 2010, 32, 109–136. [Google Scholar] [CrossRef] [Green Version]
  15. Parry, L.; Day, B.; Amaral, S.; Peres, C.A. Drivers of rural exodus from Amazonian headwaters. Popul. Environ. 2010, 32, 137–176. [Google Scholar] [CrossRef]
  16. Adamo, S.B.; Izazola, H. Human migration and the environment. Popul. Environ. 2010, 32, 105–108. [Google Scholar] [CrossRef] [Green Version]
  17. Black, R.; Adger, W.N.; Arnell, N.W.; Dercon, S.; Geddes, A.; Thomas, D. The effect of environmental change on human migration. Glob. Environ. Chang. 2011, 21, S3–S11. [Google Scholar] [CrossRef]
  18. Mather, A.S. The forest transition. Area 1992, 24, 367–379. [Google Scholar]
  19. Lambin, E.F.; Meyfroidt, P. Global forest transition: Balance of evidence for a coming end to deforestation. Annu. Rev. Environ. Resour. 2010, 36. [Google Scholar]
  20. RAF—Report on the State of Forests and the Forest Sector in Italy 2017–2018. Available online: https://www.reterurale.it/RAFITALIA (accessed on 4 January 2021).
  21. Simoniello, T.; Coluzzi, R.; Imbrenda, V.; Lanfredi, M. Land cover changes and forest landscape evolution (1985–2009) in a typical Mediterranean agroforestry system (high Agri Valley). Nat. Hazards Earth Syst. Sci. Discuss. 2015, 3, 1201–1214. [Google Scholar] [CrossRef] [Green Version]
  22. Malandra, F.; Vitali, A.; Urbinati, C.; Garbarino, M. 70 Years of Land Use/Land Cover Changes in the Apennines (Italy): A Meta-Analysis. Forests 2018, 9, 551. [Google Scholar] [CrossRef] [Green Version]
  23. Garbarino, M.; Morresi, D.; Urbinati, C.; Malandra, F.; Motta, R.; Sibona, E.M.; Vitali, A.; Weisberg, P.J. Contrasting land use legacy effects on forest landscape dynamics in the Italian Alps and the Apennines. Landsc. Ecol. 2020, 35, 2679–2694. [Google Scholar] [CrossRef]
  24. Angeles, L. Demographic transitions: Analyzing the effects of mortality on fertility. J. Popul. Econ. 2009, 23, 99–120. [Google Scholar] [CrossRef]
  25. Di Feliciantonio, C.; Salvati, L. ‘Southern’ Alternatives of Urban Diffusion: Investigating Settlement Characteristics and Socio-Economic Patterns in Three Mediterranean Regions. Tijdschr. Voor Econ. Soc. Geogr. 2015, 106, 453–470. [Google Scholar] [CrossRef]
  26. Stolnitz, G.J. The Demographic Transition: From High to Low Birth Rates and Death Rates. In Population Growth; Informa UK Limited: London, UK, 2017; pp. 30–46. [Google Scholar]
  27. Surkyn, J.; Lesthaeghe, R. Value Orientations and the Second Demographic Transition (SDT) in Northern, Western and Southern Europe: An Update. Demogr. Res. 2004, S3, 45–86. [Google Scholar] [CrossRef]
  28. Lee, R.D.; Reher, D.S. Introduction: The Landscape of Demographic Transition and Its Aftermath. Popul. Dev. Rev. 2011, 37, 1–7. [Google Scholar] [CrossRef]
  29. Reher, D.S. Economic and social implications of the Demographic transition. Popul. Dev. Rev. 2011, 37, 11–33. [Google Scholar] [CrossRef]
  30. Lee, R. The Demographic Transition: Three Centuries of Fundamental Change. J. Econ. Perspect. 2003, 17, 167–190. [Google Scholar] [CrossRef] [Green Version]
  31. Salvati, L.; Ferrara, A.; Chelli, F. Long-term growth and metropolitan spatial structures: An analysis of factors influencing urban patch size under different economic cycles. Geogr. Tidsskr. J. Geogr. 2018, 118, 56–71. [Google Scholar] [CrossRef]
  32. Blue, L.; Espenshade, T.J. Population Momentum Across the Demographic Transition. Popul. Dev. Rev. 2011, 37, 721–747. [Google Scholar] [CrossRef] [Green Version]
  33. Coleman, D. Why we don’t have to believe without doubting in the “Second Demographic Transition”-some agnostic comments. Vienna Yearb. Popul. Res. 2004, 1, 11–24. [Google Scholar] [CrossRef]
  34. Harbison, S.F.; Robinson, W.C. Policy Implications of the Next World Demographic Transition. Stud. Fam. Plan. 2002, 33, 37–48. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Lesthaeghe, R.J.; Neidert, L. The Second demographic transition in the United States: Exception or textbook example? Popul. Dev. Rev. 2006, 32, 669–698. [Google Scholar] [CrossRef]
  36. Lesthaeghe, R.; Surkyn, J. When History Moves on: The Foundations and Diffusion of a Second Demographic Transition; Brussels, Interface Demography, Free University of Brussels: Brussels, Belgium, 2004. [Google Scholar]
  37. Coleman, D. Europe’s demographic future: Determinants, dimensions and challenges. Popul. Dev. Rev. 2006, 32, 52–95. [Google Scholar] [CrossRef]
  38. Ciommi, M.; Chelli, F.M.; Carlucci, M.; Salvati, L. Urban Growth and Demographic Dynamics in Southern Europe: Toward a New Statistical Approach to Regional Science. Sustainability 2018, 10, 2765. [Google Scholar] [CrossRef] [Green Version]
  39. Zambon, I.; Benedetti, A.; Ferrara, C.; Salvati, L. Soil Matters? A Multivariate Analysis of Socioeconomic Constraints to Urban Expansion in Mediterranean Europe. Ecol. Econ. 2018, 146, 173–183. [Google Scholar] [CrossRef]
  40. Lesthaeghe, R. The Unfolding Story of the Second Demographic Transition. Popul. Dev. Rev. 2010, 36, 211–251. [Google Scholar] [CrossRef] [Green Version]
  41. Haase, A.; Kabisch, S.; Steinführer, A.; Bouzarovski, S.; Hall, R.; Ogden, P. Emergent spaces of reurbanisation: Exploring the demographic dimension of inner-city residential change in a European setting. Popul. Space Place 2010, 16, 443–463. [Google Scholar] [CrossRef]
  42. Van de Kaa, D.J. Postmodern fertility preferences: From changing value orientation to new behaviour. In Global Fertility Transition: Supplement to Population and Development Review; Bulatao, R.A., Casterline, J.B., Eds.; Elsevier: North Holland, The Netherlands, 2001; Volume 27, pp. 290–331. [Google Scholar]
  43. De Rosa, S.; Salvati, L. Beyond a ‘side street story’? Naples from spontaneous centrality to entropic polycentricism, towards a ‘crisis city’. Cities 2016, 51, 74–83. [Google Scholar] [CrossRef]
  44. Carlucci, M.; Chelli, F.M.; Salvati, L. Toward a New Cycle: Short-Term Population Dynamics, Gentrification, and Re-Urbanization of Milan (Italy). Sustainability 2018, 10, 3014. [Google Scholar] [CrossRef] [Green Version]
  45. Billari, F.; Kohler, H.-P. Patterns of low and lowest-low fertility in Europe. Popul. Stud. 2004, 58, 161–176. [Google Scholar] [CrossRef] [PubMed]
  46. Castagnetti, C.; Chelli, F.; Rosti, L. Educational performance as signalling device: Evidence from Italy. Econ. Bull. 2005, 9, 1–7. [Google Scholar]
  47. Rosti, L.; Chelli, F. Self-employment among Italian female graduates. Educ. Train. 2009, 51, 526–540. [Google Scholar] [CrossRef] [Green Version]
  48. Rosti, L.; Chelli, F. Higher education in non-standard wage contracts. Educ. Train. 2012, 54, 142–151. [Google Scholar] [CrossRef] [Green Version]
  49. Kreyenfeld, M.; Andersson, G.; Pailhé, A. Economic Uncertainty and Family Dynamics in Europe: Introduction. Demogr. Res. 2012, 27, 835–852. [Google Scholar] [CrossRef] [Green Version]
  50. Kertzer, D.I.; White, M.J.; Bernardi, L.; Gabrielli, G. Italy’s Path to Very Low Fertility: The Adequacy of Economic and Second Demographic Transition Theories. Eur. J. Popul. 2008, 25, 89–115. [Google Scholar] [CrossRef] [Green Version]
  51. Rontos, K. Demographic trends, young people’s attitudes towards marriage and socio-economic changes related to family formation in Greece and in selected European Countries: A comparative analysis based on official and survey research data. Int. J. Criminol. Sociol. Theory 2010, 3, 543–562. [Google Scholar]
  52. Goldstein, J.; Kreyenfeld, M.; Jasilioniene, A.; Örsal, D.D.K. Fertility reactions to the “Great Recession” in Europe: Recent evidence from order-specific data. Demogr. Res. 2013, 29, 85–104. [Google Scholar] [CrossRef] [Green Version]
  53. Gigliarano, C.; Chelli, F.M. Measuring inter-temporal intragenerational mobility: An application to the Italian labour market. Qual. Quant. 2016, 50, 89–102. [Google Scholar] [CrossRef]
  54. Chelli, F.; Rosti, L. Age and gender differences in Italian workers’ mobility. Int. J. Manpow. 2002, 23, 313–325. [Google Scholar] [CrossRef]
  55. Kohler, H.-P.; Billari, F.C.; Ortega, J.A. The Emergence of Lowest-Low Fertility in Europe during the 1990s. Popul. Dev. Rev. 2002, 28, 641–680. [Google Scholar] [CrossRef]
  56. Kulu, H.; Boyle, P.J. High Fertility in City Suburbs: Compositional or Contextual Effects? Eur. J. Popul. 2008, 25, 157–174. [Google Scholar] [CrossRef] [Green Version]
  57. Vikat, A.; Thomson, E.; Prskawetz, A. Childrearing Responsibility and Stepfamily Fertility in Finland and Austria. Eur. J. Popul. 2004, 20, 1–21. [Google Scholar] [CrossRef]
  58. Andersson, G. The impact of labor-force participation on childbearing behavior: Pro-cyclical fertility in Sweden during the 1980s and the 1990s. Eur. J. Popul. 2000, 16, 293–333. [Google Scholar] [CrossRef]
  59. Engelhardt, H.; Kögel, T.; Prskawetz, A. Fertility and women’s employment reconsidered: A macro-level time series analysis for developed countries, 1960–2000. Popul. Stud. 2004, 58, 109–120. [Google Scholar] [CrossRef] [PubMed]
  60. Hoem, J.M.; Neyer, G.R.; Andersson, G. Education and childlessness: The relationship between educational field, educational level and childlessness among Swedish women born in 1955–1959. Demogr. Res. 2006, 14, 331–380. [Google Scholar] [CrossRef] [Green Version]
  61. Hoem, J.M.; Neyer, G.; Andersson, G. Educational attainment and ultimate fertility among Swedish women born in 1955–1959. Demogr. Res. 2006, 14, 381–404. [Google Scholar] [CrossRef]
  62. Howell, F.M.; Porter, J.R.; Matthews, S.A. Recapturing Space: New Middle-Range Theory in Spatial Demography; Springer: Berlin/Heidelberg, Germany, 2016. [Google Scholar]
  63. Ciommi, M.; Gentili, A.; Ermini, B.; Gigliarano, C.; Chelli, F.M.; Gallegati, M. Have Your Cake and Eat it Too: The Well-Being of the Italians (1861–2011). Soc. Indic. Res. 2016, 134, 473–509. [Google Scholar] [CrossRef]
  64. Ciommi, M.; Gigliarano, C.; Emili, A.; Taralli, S.; Chelli, F.M. A new class of composite indicators for measuring well-being at the local level: An application to the Equitable and Sustainable Well-being (BES) of the Italian Provinces. Ecol. Indic. 2017, 76, 281–296. [Google Scholar] [CrossRef]
  65. Boyle, P. Population geography: Does geography matter in fertility research? Prog. Hum. Geogr. 2003, 27, 615–626. [Google Scholar] [CrossRef]
  66. Moretti, V.; Salvati, L.; Cecchini, M.; Zambon, I. A Long-Term Analysis of Demographic Processes, Socioeconomic ‘Modernization’ and Forest Expansion in a European Country. Sustainability 2019, 11, 388. [Google Scholar] [CrossRef] [Green Version]
  67. Chorianopoulos, I.; Pagonis, T.; Koukoulas, S.; Drymoniti, S. Planning, competitiveness and sprawl in the Mediterranean city: The case of Athens. Cities 2010, 27, 249–259. [Google Scholar] [CrossRef]
  68. Chorianopoulos, I.; Tsilimigkas, G.; Koukoulas, S.; Balatsos, T. The shift to competitiveness and a new phase of sprawl in the Mediterranean city: Enterprises guiding growth in Messoghia—Athens. Cities 2014, 39, 133–143. [Google Scholar] [CrossRef]
  69. Mencarini, L.; Salvini, S. Mediterranean fertility: Towards a South-North convergence? Popolazione e Storia 2003, 4, 69–94. [Google Scholar]
  70. Zambon, I.; Colantoni, A.; Carlucci, M.; Morrow, N.; Sateriano, A.; Salvati, L. Land quality, sustainable development and environmental degradation in agricultural districts: A computational approach based on entropy indexes. Environ. Impact Assess. Rev. 2017, 64, 37–46. [Google Scholar] [CrossRef]
  71. Di Feliciantonio, C.; Salvati, L.; Sarantakou, E.; Rontos, K. Class diversification, economic growth and urban sprawl: Evidences from a pre-crisis European city. Qual. Quant. 2018, 52, 1501–1522. [Google Scholar] [CrossRef]
  72. Lamonica, G.R.; Chelli, F.M. The performance of non-survey techniques for constructing sub-territorial input-output tables. Pap. Reg. Sci. 2018, 97, 1169–1202. [Google Scholar] [CrossRef]
  73. Salvati, L. The Dark Side of the Crisis: Disparities in per Capita income (2000–2012) and the Urban-Rural Gradient in Greece. Tijdschr. Voor Econ. Soc. Geogr. 2016, 107, 628–641. [Google Scholar] [CrossRef]
  74. Morelli, V.G.; Rontos, K.; Salvati, L. Between suburbanisation and re-urbanisation: Revisiting the urban life cycle in a Mediterranean compact city. Urban Res. Pr. 2014, 7, 74–88. [Google Scholar] [CrossRef]
  75. Karamesouti, M.; Detsis, V.; Kounalaki, A.; Vasiliou, P.; Salvati, L.; Kosmas, C. Land-use and land degradation processes affecting soil resources: Evidence from a traditional Mediterranean cropland (Greece). Catena 2015, 132, 45–55. [Google Scholar] [CrossRef]
  76. Cecchini, M.; Zambon, I.; Pontrandolfi, A.; Turco, R.; Colantoni, A.; Mavrakis, A.; Salvati, L. Urban sprawl and the ‘olive’ landscape: Sustainable land management for ‘crisis’ cities. GeoJournal 2019, 84, 237–255. [Google Scholar] [CrossRef]
  77. Ciommi, M.; Chelli, F.M.; Salvati, L. Integrating parametric and non-parametric multivariate analysis of urban growth and commuting patterns in a European metropolitan area. Qual. Quant. 2019, 53, 957–979. [Google Scholar] [CrossRef]
  78. Scarascia, M.E.V.; Di Battista, F.; Salvati, L. Water resources in Italy: Availability and agricultural uses. Irrig. Drain. 2006, 55, 115–127. [Google Scholar] [CrossRef]
  79. Salvati, L.; Gemmiti, R.; Perini, L. Land degradation in Mediterranean urban areas: An unexplored link with planning? Area 2012, 44, 317–325. [Google Scholar] [CrossRef]
  80. Kazemzadeh-Zow, A.; Shahraki, S.Z.; Salvati, L.; Samani, N.N. A spatial zoning approach to calibrate and validate urban growth models. Int. J. Geogr. Inf. Sci. 2017, 31, 763–782. [Google Scholar] [CrossRef]
  81. Salvati, L.; Zitti, M. Land degradation in the Mediterranean Basin: Linking bio-physical and economic factors into an ecological perspective. Biota 2005, 6, 67–77. [Google Scholar]
  82. Sato, Y.; Yamamoto, K. Population concentration, urbanization, and demographic transition. J. Urban Econ. 2005, 58, 45–61. [Google Scholar] [CrossRef]
  83. Galor, O. From stagnation to growth: Unified growth theory. In Handbook of Economic Growth; Aghion, P., Durlauf, S., Eds.; Elsevier: North Holland, The Netherlands, 2004. [Google Scholar]
  84. Zhang, J. Urbanization, population transition, and growth. Oxf. Econ. Pap. 2002, 54, 91–117. [Google Scholar] [CrossRef]
  85. Walford, N.; Kurek, S. Outworking of the Second Demographic Transition: National Trends and Regional Patterns of Fertility Change in Poland, and England and Wales, 2002–2012. Popul. Space Place 2015, 22, 508–525. [Google Scholar] [CrossRef] [Green Version]
  86. Ogden, P.E.; Hall, R. Households, Reurbanisation and the Rise of Living Alone in the Principal French Cities, 1975–1990. Urban Stud. 2000, 37, 367–390. [Google Scholar] [CrossRef]
  87. Liu, L. Fertility trends in China’s more developed urban districts: The case of four cities. Popul. Space Place 2005, 11, 411–424. [Google Scholar] [CrossRef]
  88. Lee, K.O.; Painter, G. What happens to household formation in a recession? J. Urban Econ. 2013, 76, 93–109. [Google Scholar] [CrossRef]
  89. Pinnelli, A.; Di Cesare, M. Human fertility: Sociodemographic aspects. Contracept 2005, 72, 303–307. [Google Scholar] [CrossRef] [PubMed]
  90. Valkonen, T.; Martikainen, P.; Jalovaara, M.; Koskinen, S.; Martelin, T.; Mäkelä, P. Changes in socioeconomic inequalities in mortality during an economic boom and recession among middle-aged men and women in Finland. Eur. J. Public Health 2000, 10, 274–280. [Google Scholar] [CrossRef] [Green Version]
  91. Saurina, C.; Bragulat, B.; Saez, M.; López-Casasnovas, G. A conditional model for estimating the increase in suicides associated with the 2008–2010 economic recession in England. J. Epidemiol. Commun. Health 2013, 67, 779–787. [Google Scholar] [CrossRef] [PubMed]
  92. Sobotka, T.; Skirbekk, V.; Philipov, D. Economic Recession and Fertility in the Developed World. Popul. Dev. Rev. 2011, 37, 267–306. [Google Scholar] [CrossRef] [PubMed]
  93. Kabisch, N.; Haase, D. Diversifying European agglomerations: Evidence of urban population trends for the 21st century. Popul. Space Place 2011, 17, 236–253. [Google Scholar] [CrossRef]
  94. Salvati, L.; Zitti, M. The Environmental “Risky” Region: Identifying Land Degradation Processes Through Integration of Socio-Economic and Ecological Indicators in a Multivariate Regionalization Model. Environ. Manag. 2009, 44, 888–898. [Google Scholar] [CrossRef]
  95. Kohler, H.-P. Fertility decline as a coordination problem. J. Dev. Econ. 2000, 63, 231–263. [Google Scholar] [CrossRef]
  96. Lutz, W.; Qiang, R. Determinants of human population growth. Philos. Trans. R. Soc. B Biol. Sci. 2002, 357, 1197–1210. [Google Scholar] [CrossRef]
  97. Kulu, H.; Vikat, A. Fertility differences by housing type: The effect of housing conditions or of selective moves? Demogr. Res. 2007, 17, 775–802. [Google Scholar] [CrossRef]
  98. Zeitler, E.; Buys, L. Mobility and out-of-home activities of older people living in suburban environments: ‘Because I’m a driver, I don’t have a problem’. Ageing Soc. 2014, 35, 785–808. [Google Scholar] [CrossRef] [Green Version]
  99. Lee, J.; Hong, S.; Park, Y. Predictable Surprise: The Spatial and Social Morphology of Aging Suburbs in the U.S. Metropolitan Areas. Sustainability 2017, 9, 458. [Google Scholar] [CrossRef] [Green Version]
  100. Lerch, M. Urban and rural fertility transitions in the developing world: A cohort perspective. In Urban and Rural Fertility Transitions in the Developing World: A Cohort Perspective; Max Planck Institute for Demographic Research: Rostock, Germany, 2017. [Google Scholar]
  101. Findley, S.E.; Orr, A.C. Patterns of Urban-Rural Fertility Differentials in Developing Countries: A Suggested Framework. Popul. Dev. Rev. 1980, 6, 498. [Google Scholar] [CrossRef]
  102. Findlay, S.E. A Suggested Framework for Analysis of Urban-Rural Fertility Differentials with an Illustration of the Tanzanian Case. Popul. Environ. 1980, 3, 237–261. [Google Scholar] [CrossRef]
  103. Martine, G.; Alves, J.E.; Cavenaghi, S. Urbanization and fertility decline: Cashing in on structural change. In Fertility Changes in Sub-Saharan Africa. DHS Comparative Reports 18:111; Michel, M.G., Ed.; IED Working Paper; International Institute for Environment and Development: London, UK, 2008; p. 44. [Google Scholar]
  104. Garenne, M.; Joseph, V. The Timing of the Fertility Transition in Sub-Saharan Africa. World Dev. 2002, 30, 1835–1843. [Google Scholar] [CrossRef]
  105. Kulu, H. Why do fertility levels vary between urban and rural areas? Reg. Stud. 2013, 47, 895–912. [Google Scholar] [CrossRef]
  106. Snyder, A.R.; Brown, S.L.; Condo, E.P. Residential differences in family formation: The significance of cohabitation. Rural Sociol. 2004, 69, 235–260. [Google Scholar] [CrossRef]
  107. Snyder, A.R. The role of contemporary family behaviors in nonmarital conception outcomes of nonmetro women: Comments on Albrecht and Albrecht (2004). Rural Sociol. 2006, 71, 155–163. [Google Scholar] [CrossRef]
  108. Lesthaeghe, R.; Neels, K. From the First to the Second Demographic Transition: An Interpretation of the Spatial Continuity of Demographic Innovation in France, Belgium and Switzerland. Eur. J. Popul. 2002, 18, 325–360. [Google Scholar] [CrossRef]
  109. Sobotka, T.; Adiguzel, F. Religiosity and Spatial Demographic Differences in The Netherlands. Available online: https://www.rug.nl/research/portal/publications/religiosity-and-spatial-demographic-differences-in-the-netherlands(463dee8a-8bfc-4b76-bd24-050762335f69).html (accessed on 5 January 2021).
  110. Kulu, H.; Boyle, P.J.; Andersson, G. High Suburban Fertility: Evidence from Four Northern European Countries. Demogr. Res. 2009, 21, 915–944. [Google Scholar] [CrossRef]
  111. Caldwell, J.C.; Schindlmayr, T. Explanations of the fertility crisis in modern societies: A search for commonalities. Popul. Stud. 2003, 57, 241–263. [Google Scholar] [CrossRef] [PubMed]
  112. Coleman, D.A. New Europe, new diversity. Popul. Stud. 2008, 62, 113–120. [Google Scholar] [CrossRef]
  113. Kalmijn, M.; Van Tubergen, F. Ethnic intermarriage in the Netherlands, confirmations and refutations of accepted insights. Eur. J. Popul. 2006, 22, 371–397. [Google Scholar] [CrossRef]
  114. Sobotka, T.; Toulemon, L. Changing family and partnership behavior: Common trends and persistent diversity across Europe. Demogr. Res. 2008, 19, 85–138. [Google Scholar] [CrossRef]
  115. Goldstein, J.R.; Sobotka, T.; Jasilioniene, A. The end of “lowest-low” fertility? Popul. Dev. Rev. 2009, 35, 663–699. [Google Scholar] [CrossRef]
  116. Kladivo, P.; Roubínek, P.; Opravil, Z.; Nesvadbová, M. Suburbanization and Local Governance-Positive and Negative Forms: Olomouc Case Study. Bull. Geogr. Socio-Econ. Ser. 2015, 27, 95–107. [Google Scholar] [CrossRef] [Green Version]
  117. Kosmas, C.; Karamesouti, M.; Kounalaki, K.; Detsis, V.; Vassiliou, P.; Salvati, L. Land degradation and long-term changes in agro-pastoral systems: An empirical analysis of ecological resilience in Asteroussia-Crete (Greece). Catena 2016, 147, 196–204. [Google Scholar] [CrossRef]
  118. Matlovič, R.; Sedláková, A. The Impact of Suburbanisation in the Hinterland of Prešov. Morav. Geogr. Rep. 2007, 15, 22–31. [Google Scholar]
  119. Parcerisas, L.; Marull, J.; Pino, J.; Tello, E.; Coll, F.; Basnou, C. Land use changes, landscape ecology and their socioeconomic driving forces in the Spanish Mediterranean coast (El Maresme County, 1850–2005). Environ. Sci. Policy 2012, 23, 120–132. [Google Scholar] [CrossRef]
  120. Coffin, A.W. From roadkill to road ecology: A review of the ecological effects of roads. J. Transp. Geogr. 2007, 15, 396–406. [Google Scholar] [CrossRef]
  121. Forman, R.T.; Sperling, D.; Bissonette, J.A.; Clevenger, A.P.; Cutshall, C.D.; Dale, V.H.; Fahrig, L.; France, R.; Goldman, C.R.; Heanue, K.; et al. Road Ecology: Science and Solutions; Island Press: Washington, DC, USA, 2003. [Google Scholar]
  122. Jongman, R. Homogenisation and fragmentation of the European landscape: Ecological consequences and solutions. Landsc. Urban Plan. 2002, 58, 211–221. [Google Scholar] [CrossRef]
  123. Šťastná, M.; Vaishar, A. The relationship between public transport and the progressive development of rural areas. Land Use Policy 2017, 67, 107–114. [Google Scholar] [CrossRef]
  124. Salvati, L.; Petitta, M.; Ceccarelli, T.; Perini, L.; Di Battista, F.; Scarascia, M.E.V. Italy’s renewable water resources as estimated on the basis of the monthly water balance. Irr. Drain. J. Int. Comm. Irr. Drain. 2008, 57, 507–515. [Google Scholar] [CrossRef]
  125. Kairis, O.; Karavitis, C.; Salvati, L.; Kounalaki, A.; Kosmas, K. Exploring the Impact of Overgrazing on Soil Erosion and Land Degradation in a Dry Mediterranean Agro-Forest Landscape (Crete, Greece). Arid. Land Res. Manag. 2015, 29, 360–374. [Google Scholar] [CrossRef]
  126. Bičík, L.; Jeleček, L.; Štěpánek, V. Land-use changes and their social driving forces in Czechia in the 19th and 20th centuries. Land Use Policy 2001, 18, 65–73. [Google Scholar] [CrossRef]
  127. Delfanti, L.; Colantoni, A.; Recanatesi, F.; Bencardino, M.; Sateriano, A.; Zambon, I.; Salvati, L. Solar plants, environmental degradation and local socioeconomic contexts: A case study in a Mediterranean country. Environ. Impact Assess. Rev. 2016, 61, 88–93. [Google Scholar] [CrossRef]
  128. Recanatesi, F.; Clemente, M.; Grigoriadis, E.; Ranalli, F.; Zitti, M.; Salvati, L. A Fifty-Year Sustainability Assessment of Italian Agro-Forest Districts. Sustainability 2016, 8, 32. [Google Scholar] [CrossRef] [Green Version]
  129. Bajocco, S.; De Angelis, A.; Salvati, L. A satellite-based green index as a proxy for vegetation cover quality in a Mediterranean region. Ecol. Indic. 2012, 23, 578–587. [Google Scholar] [CrossRef]
  130. Plieninger, T. Monitoring directions and rates of change in trees outside forests through multitemporal analysis of map sequences. Appl. Geogr. 2012, 32, 566–576. [Google Scholar] [CrossRef] [Green Version]
  131. Launer, A.E.; Murphy, D.D. Umbrella species and the conservation of habitat fragments: A case of a threatened butterfly and a vanishing grassland ecosystem. Biol. Conserv. 1994, 69, 145–153. [Google Scholar] [CrossRef]
  132. Brooks, T.M.; Mittermeier, R.A.; Da Fonseca, G.A.B.; Gerlach, J.; Hoffmann, M.; Lamoreux, J.F.; Mittermeier, C.G.; Pilgrim, J.D.; Rodrigues, A.S.L. Global Biodiversity Conservation Priorities. Science 2006, 313, 58–61. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  133. Robertson, O.J.; Radford, J.Q. Gap-crossing decisions of forest birds in a fragmented landscape. Austral Ecol. 2009, 34, 435–446. [Google Scholar] [CrossRef]
  134. Domingo, A.; Gil-Alonso, F. Immigration and Changing Labour Force Structure in the Southern European Union. Popul. 2007, 62, 709–727. [Google Scholar] [CrossRef]
  135. Kohler, H.-P.; Ortega, J.A. Tempo-adjusted period parity progression measures: Assessing the implications of delayed childbearing for fertility in Sweden, the Netherlands and Spain. Demogr. Res. 2002, 6, 30–38. [Google Scholar] [CrossRef]
  136. Bayona, J.; Gil-Alonso, F. Suburbanisation and international immigration: The case of the Barcelona Metropolitan Region (1998–2009). Tijdschr. Econ. Soc. Geogr. 2012, 103, 312–329. [Google Scholar] [CrossRef] [Green Version]
  137. Champion, A. A Changing Demographic Regime and Evolving Polycentric Urban Regions: Consequences for the Size, Composition and Distribution of City Populations. Urban Stud. 2001, 38, 657–677. [Google Scholar] [CrossRef]
  138. Buzar, S.; Ogden, P.; Hall, R.; Haase, A.; Kabisch, S.; Steinfiihrer, A. Splintering Urban Populations: Emergent Landscapes of Reurbanisation in Four European Cities. Urban Stud. 2007, 44, 651–677. [Google Scholar] [CrossRef]
  139. Gil-Alonso, F.; Bayona-I.-Carrasco, J.; Pujadas-I-Rúbies, I. From boom to crash: Spanish urban areas in a decade of change (2001–2011). Eur. Urban Reg. Stud. 2016, 23, 198–216. [Google Scholar] [CrossRef]
  140. Baudelle, G.; Olivier, D. Changement Global, Mondialisation et Modèle De Transition Démographique: Réflexion sur une exception française parmi les pays développés. Hist. Géogr. 2006, 98, 177–204. (In French) [Google Scholar]
  141. Salvati, L.; Sateriano, A.; Grigoriadis, E. Crisis and the city: Profiling urban growth under economic expansion and stagnation. Lett. Spat. Resour. Sci. 2016, 9, 329–342. [Google Scholar] [CrossRef]
  142. Myrskylä, M.; Kohler, H.-P.; Billari, F.C. Advances in development reverse fertility declines. Nat. Cell Biol. 2009, 460, 741–743. [Google Scholar] [CrossRef] [PubMed]
  143. Birg, H. Die demographische Zeitenwende. In Der Bevölkerungsrückgang in Deutschland und Europa; C.H. Beck: München, Germany, 2001; p. 226. ISBN 3-406-47552-3. [Google Scholar]
  144. Gans, F.; Kemper, F.J. Urbanisation in Germany before and after unification. In International Handbook of Urban Systems; Geyer, H.S., Ed.; Elgar: Cheltenham, UK, 2002; pp. 147–184. [Google Scholar]
  145. Salvati, L.; Guandalini, A.; Carlucci, M.; Chelli, F.M. An empirical assessment of human development through remote sensing: Evidences from Italy. Ecol. Indic. 2017, 78, 167–172. [Google Scholar] [CrossRef]
  146. Jessop, B.; Peck, J. Workfare States. Contemp. Sociol. A J. Rev. 2003, 32, 714. [Google Scholar] [CrossRef]
  147. Nuissl, H.; Rink, D. The ‘production’ of urban sprawl in eastern Germany as a phenomenon of post-socialist transformation. Cities 2005, 22, 123–134. [Google Scholar] [CrossRef]
  148. Tumpel-Gugerell, G.; Mooslechner, P. Economic convergence and divergence in Europe. In Growth and Regional Development in an Enlarged European Union; Edward Elgar: Chichester, UK, 2003. [Google Scholar]
  149. Kroll, F.; Kabisch, N. The Relation of Diverging Urban Growth Processes and Demographic Change along an Urban-Rural Gradient. Popul. Space Place 2012, 18, 260–276. [Google Scholar] [CrossRef]
  150. Gkartzios, M.; Scott, K. A Cultural Panic in the Province? Counterurban Mobilities, Creativity, and Crisis in Greece. Popul. Space Place 2015, 21, 843–855. [Google Scholar] [CrossRef] [Green Version]
  151. Remoundou, K.; Gkartzios, M.; Garrod, G. Conceptualizing Mobility in Times of Crisis: Towards Crisis-Led Counterurbanization? Reg. Stud. 2015, 50, 1663–1674. [Google Scholar] [CrossRef] [Green Version]
  152. Sobotka, T. Post-transitional fertility: The role of childbearing postponement in fuelling the shift to low and unstable fertility levels. J. Biosoc. Sci. 2017, 49, S20–S45. [Google Scholar] [CrossRef]
  153. Kok, J. Family systems as frameworks for understanding variation in extra-marital births, Europe 1900–2000. Roman. J. Popul. Stud. 2009, 5, 13–38. [Google Scholar]
  154. Stellmes, M.; Roder, A.; Udelhoven, T.; Hill, J. Mapping syndromes of land change in Spain with remote sensing time series, demographic and climatic data. Land Use Policy 2013, 30, 685–702. [Google Scholar] [CrossRef]
  155. Rindfuss, R.R.; Entwisle, B.; Walsh, S.J.; Mena, C.F.; Erlien, C.M.; Gray, C. Frontier Land Use Change: Synthesis, Challenges, and Next Steps. Ann. Assoc. Am. Geogr. 2007, 97, 739–754. [Google Scholar] [CrossRef]
  156. Orenstein, D.E.; Hamburg, S.P. To populate or preserve? Evolving political-demographic and environmental paradigms in Israeli land-use policy. Land Use Policy 2009, 26, 984–1000. [Google Scholar] [CrossRef]
  157. Perz, S.G. Household demographic factors as life cycle determinants of land use in the Amazon. Popul. Res. Policy Rev. 2001, 20, 159–186. [Google Scholar] [CrossRef]
  158. Izquierdo, A.E.; De Angelo, C.; Aide, T.M. Thirty Years of Human Demography and Land-Use Change in the Atlantic Forest of Misiones, Argentina: An Evaluation of the Forest Transition Model. Ecol. Soc. 2008, 13, 3. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Population development and urban hierarchy in Europe, early 2000s (source: EEA).
Figure 1. Population development and urban hierarchy in Europe, early 2000s (source: EEA).
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Figure 2. Dynamic evolution of land-use changes for advanced economies according to the forest transition theory.
Figure 2. Dynamic evolution of land-use changes for advanced economies according to the forest transition theory.
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Figure 3. Pressures of urbanization and transport on semi-natural areas in Europe until 2009 (source: EEA). Transport and urban areas are red colored, wooded areas are green colored, others land covers are white colored.
Figure 3. Pressures of urbanization and transport on semi-natural areas in Europe until 2009 (source: EEA). Transport and urban areas are red colored, wooded areas are green colored, others land covers are white colored.
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Figure 4. Total Fertility Rate (TFR) in Selected European Countries from 1950–1955 until 2010–2015 (Source: UN World Population Prospects; 2012 Revision).
Figure 4. Total Fertility Rate (TFR) in Selected European Countries from 1950–1955 until 2010–2015 (Source: UN World Population Prospects; 2012 Revision).
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Figure 5. Agricultural land conversions in Europe until 2017 (source: EEA).
Figure 5. Agricultural land conversions in Europe until 2017 (source: EEA).
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Figure 6. Agricultural land use intensity in Europe (2015); green, yellow, and brown respectively depict extensively used, moderately intensively used, and intensively used arable land; light grey represents non-agricultural land; dark grey indicates countries not covered (source: EEA).
Figure 6. Agricultural land use intensity in Europe (2015); green, yellow, and brown respectively depict extensively used, moderately intensively used, and intensively used arable land; light grey represents non-agricultural land; dark grey indicates countries not covered (source: EEA).
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Egidi, G.; Salvati, L.; Falcone, A.; Quaranta, G.; Salvia, R.; Vcelakova, R.; Giménez-Morera, A. Re-Framing the Latent Nexus between Land-Use Change, Urbanization and Demographic Transitions in Advanced Economies. Sustainability 2021, 13, 533. https://doi.org/10.3390/su13020533

AMA Style

Egidi G, Salvati L, Falcone A, Quaranta G, Salvia R, Vcelakova R, Giménez-Morera A. Re-Framing the Latent Nexus between Land-Use Change, Urbanization and Demographic Transitions in Advanced Economies. Sustainability. 2021; 13(2):533. https://doi.org/10.3390/su13020533

Chicago/Turabian Style

Egidi, Gianluca, Luca Salvati, Andrea Falcone, Giovanni Quaranta, Rosanna Salvia, Renata Vcelakova, and Antonio Giménez-Morera. 2021. "Re-Framing the Latent Nexus between Land-Use Change, Urbanization and Demographic Transitions in Advanced Economies" Sustainability 13, no. 2: 533. https://doi.org/10.3390/su13020533

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