Integrated Assessment of Sustainability of Agricultural Systems and Land Use Change from the Past to the Future

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".

Deadline for manuscript submissions: closed (20 November 2021) | Viewed by 17448

Special Issue Editors


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Guest Editor
Department of Agricultural Sciences, University of Naples, Federico II, 80055 Naples, Italy
Interests: agriculture; environment; soil analysis; fertilizer sustainability; sustainable agriculture; manure management; geographic information system; land-use change; historical GIS
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E-Mail Website
Guest Editor
Department of Agricultural Sciences, University of Naples Federico II, 80055 Naples, Italy
Interests: decision support system; spatial analysis; environment; land-use and landscape planning; land-use change; sustainability; environmental impact assessment; geographic information systems; GIS software
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The landscape has undergone accelerated and strong changes due to anthropic pressures. Urbanization and urban sprawl as well as the spread of industrial and tertiary activities, in conjunction with intensification of agricultural activities, have generated new types of landscape. This growing phenomenon, which is throwing the traditional management of agricultural systems into crisis, must be accompanied by a recognition and classification of the new types of landscapes to avoid abandonment, under-utilization, and pollution that can cause a progressive depletion of ecosystems.

Rural areas are generally underestimated by governments, which consider them only in terms of exploitation of natural resources and of economic profits. Nevertheless, they are essential for climate change mitigation, local identity implementation, balancing of population territorial distribution (avoiding overpopulation of cities), ecosystem service provisions, and support of circular economy development. Furthermore, the contingency of the COVID-19 crisis is also highlighting a new role for rural areas, thanks to the increase of teleworking and of our appreciation for green spaces as a consequence to the significant changes to society. The need to establish a new vision of “the future of rural areas and the place they should have in our society” represents the new challenge, both in the scientific and governmental field.

Many studies are devoted to rural contexts and their characteristics, focusing on rural buildings, land use change analysis or construction of scenarios/alternatives, or in terms of ecosystem service assessment, etc., as support to planning activities. Specific reflections should be made about the need to develop “integrated” methods and approaches (involving different skills and with a multiscale and multitemporal base), considering that rural areas, in these terms, have been less studied than other contexts (urban areas, industrial or tertiary districts).

This Special Issue intends to spark a scientific debate on new integrated methodologies for land use/cover analysis and prediction, new declination of rural area types or features, as well as the use of environmental indicators.

Papers on, but not limited to, the following topics are welcome:

  • Hybrid geographies (marginal lands and territories in between);
  • The role of rural areas towards mitigation of climate change;
  • Land use change prediction models;
  • Land use change studies based on historical cartography;
  • Evaluation of ecosystem services to support land use changes;
  • Decision support in the localization of blue and green infrastructures;
  • Circular economy processes applied to rural production;
  • COVID-19 implications for agricultural activities.

Prof. Dr. Stefania Pindozzi
Dr. Elena Cervelli
Guest Editors

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Keywords

  • Land use/Cover change
  • Land cover classification
  • Ecosystem services
  • Vernacular architecture
  • Environmental impact assessment
  • Local identity
  • Hybrid geographies

Published Papers (6 papers)

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Research

25 pages, 1347 KiB  
Article
An Analysis of Agricultural Systems Modelling Approaches and Examples to Support Future Policy Development under Disruptive Changes in New Zealand
by Clémence Vannier, Thomas A. Cochrane, Peyman Zawar Reza and Larry Bellamy
Appl. Sci. 2022, 12(5), 2746; https://0-doi-org.brum.beds.ac.uk/10.3390/app12052746 - 07 Mar 2022
Cited by 4 | Viewed by 3819
Abstract
Agricultural systems have entered a period of significant disruption due to impacts from change drivers, increasingly stringent environmental regulations and the need to reduce unwanted discharges, and emerging technologies and biotechnologies. Governments and industries are developing strategies to respond to the risks and [...] Read more.
Agricultural systems have entered a period of significant disruption due to impacts from change drivers, increasingly stringent environmental regulations and the need to reduce unwanted discharges, and emerging technologies and biotechnologies. Governments and industries are developing strategies to respond to the risks and opportunities associated with these disruptors. Modelling is a useful tool for system conceptualisation, understanding, and scenario testing. Today, New Zealand and other nations need integrated modelling tools at the national scale to help industries and stakeholders plan for future disruptive changes. In this paper, following a scoping review process, we analyse modelling approaches and available agricultural systems’ model examples per thematic applications at the regional to national scale to define the best options for the national policy development. Each modelling approach has specificities, such as stakeholder engagement capacity, complex systems reproduction, predictive or prospective scenario testing, and users should consider coupling approaches for greater added value. The efficiency of spatial decision support tools working with a system dynamics approach can help holistically in stakeholders’ participation and understanding, and for improving land planning and policy. This model combination appears to be the most appropriate for the New Zealand national context. Full article
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23 pages, 1317 KiB  
Article
GI Guidelines for the Metropolitan City of Cagliari (Italy): A Method for Implementing Green Areas
by Giovanna Calia, Antonio Ledda, Vittorio Serra, Giulio Senes and Andrea De Montis
Appl. Sci. 2021, 11(22), 10863; https://0-doi-org.brum.beds.ac.uk/10.3390/app112210863 - 17 Nov 2021
Viewed by 1555
Abstract
The decline of natural capital resulting from urbanization has triggered phenomena such as landscape fragmentation and loss of biodiversity. European institutions have published documents and strategies with the purpose of counteracting such phenomena. In this regard, in 2020 the European Commission released the [...] Read more.
The decline of natural capital resulting from urbanization has triggered phenomena such as landscape fragmentation and loss of biodiversity. European institutions have published documents and strategies with the purpose of counteracting such phenomena. In this regard, in 2020 the European Commission released the European Biodiversity Strategy 2030, which defines biodiversity conservation objectives and promotes the implementation of green infrastructures (GIs) designed to supply ecosystem services, which can increase people’s well-being. The scientific literature has scarcely dealt with methods for drafting guidance documents (guidelines) to support public administrations in the implementation of GIs. In this study, we aim at designing and applying a method for drafting GI guidelines. We apply the method to the Metropolitan City of Cagliari, the main urbanized area—which partially includes the former Province of Cagliari—of Sardinia (Italy). According to the findings, a proposal of GI guidelines should be rooted in context analysis and consistency checks and should be tailored to specific geographical and institutional contexts. The preliminary guidelines described in this study are designed to provide public administrations with GI guidelines based on scientific, technical, and cultural considerations, and are aimed at supporting an effective implementation of GIs and a GI network. Full article
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18 pages, 3812 KiB  
Article
Comparative Analysis of Different Spatial Interpolation Methods Applied to Monthly Rainfall as Support for Landscape Management
by Tommaso Caloiero, Gaetano Pellicone, Giuseppe Modica and Ilaria Guagliardi
Appl. Sci. 2021, 11(20), 9566; https://0-doi-org.brum.beds.ac.uk/10.3390/app11209566 - 14 Oct 2021
Cited by 7 | Viewed by 2418
Abstract
Landscape management requires spatially interpolated data, whose outcomes are strictly related to models and geostatistical parameters adopted. This paper aimed to implement and compare different spatial interpolation algorithms, both geostatistical and deterministic, of rainfall data in New Zealand. The spatial interpolation techniques used [...] Read more.
Landscape management requires spatially interpolated data, whose outcomes are strictly related to models and geostatistical parameters adopted. This paper aimed to implement and compare different spatial interpolation algorithms, both geostatistical and deterministic, of rainfall data in New Zealand. The spatial interpolation techniques used to produce finer-scale monthly rainfall maps were inverse distance weighting (IDW), ordinary kriging (OK), kriging with external drift (KED), and ordinary cokriging (COK). Their performance was assessed by the cross-validation and visual examination of the produced maps. The results of the cross-validation clearly evidenced the usefulness of kriging in the spatial interpolation of rainfall data, with geostatistical methods outperforming IDW. Results from the application of different algorithms provided some insights in terms of strengths and weaknesses and the applicability of the deterministic and geostatistical methods to monthly rainfall. Based on the RMSE values, the KED showed the highest values only in April, whereas COK was the most accurate interpolator for the other 11 months. By contrast, considering the MAE, the KED showed the highest values in April, May, June and July, while the highest values have been detected for the COK in the other months. According to these results, COK has been identified as the best method for interpolating rainfall distribution in New Zealand for almost all months. Moreover, the cross-validation highlights how the COK was the interpolator with the best least bias and scatter in the cross-validation test, with the smallest errors. Full article
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24 pages, 5434 KiB  
Article
Assessing Ecosystem and Urban Services for Landscape Suitability Mapping
by Sara Antognelli and Marco Vizzari
Appl. Sci. 2021, 11(17), 8232; https://0-doi-org.brum.beds.ac.uk/10.3390/app11178232 - 05 Sep 2021
Cited by 3 | Viewed by 1678
Abstract
Ecosystem services (ES) and urban services (US) can comparably improve human well-being. Models for integrating ES and US with unexpressed and objective needs of defined groups of stakeholders may prove helpful for supporting decisions in landscape planning and management. In fact, they could [...] Read more.
Ecosystem services (ES) and urban services (US) can comparably improve human well-being. Models for integrating ES and US with unexpressed and objective needs of defined groups of stakeholders may prove helpful for supporting decisions in landscape planning and management. In fact, they could be applied for highlighting landscape areas with different characteristics in terms of services provided. From this base, a suitability spatial assessment model (SUSAM) was developed and applied in a study area considering different verisimilar scenarios that policy makers could analyse. Each scenario is based on the prioritization of a set of services considering a defined group of stakeholders. Consistent and comparable ES and US indices of spatial benefiting areas (SBA) of services were calculated using GIS spatialization techniques. These indices were aggregated hierarchically with the relevance of services according to a spatial multicriteria decision analysis (S-MCDA). Results include maps for each scenario showing detailed spatial indices of suitability that integrate the local availability of SBA of ES and US, along with their relevance. The results were compared with known landscape classes identified in previous studies, which made it possible to interpret the spatial variation of suitability in the light of known landscape features. A complete sensitivity analysis was performed to test the sensitiveness of the model’s outputs to variations of judgements and their resistance to the indicators’ variation. The application of the model demonstrated its effectiveness in a landscape suitability assessment. At the same time, the sensitivity analysis and helping to understand the model behaviour in the different landscape classes also suggested possible solutions for simplifying the whole methodology. Full article
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16 pages, 661 KiB  
Article
Turning Agricultural Wastes into Biomaterials: Assessing the Sustainability of Scenarios of Circular Valorization of Corn Cob in a Life-Cycle Perspective
by Enrica Santolini, Marco Bovo, Alberto Barbaresi, Daniele Torreggiani and Patrizia Tassinari
Appl. Sci. 2021, 11(14), 6281; https://0-doi-org.brum.beds.ac.uk/10.3390/app11146281 - 07 Jul 2021
Cited by 19 | Viewed by 4753
Abstract
Circular economy plays a key role in increasing the sustainability of the agricultural sector, given the countless possibilities of transforming crop residues and recycling precious resources. The maize cultivation process produces a significant amount of residual organic materials, commonly left on the field, [...] Read more.
Circular economy plays a key role in increasing the sustainability of the agricultural sector, given the countless possibilities of transforming crop residues and recycling precious resources. The maize cultivation process produces a significant amount of residual organic materials, commonly left on the field, as a soil conditioner and source of nutrients even if some parts, such as the cob, play a minor role in these actions. The solutions for the valorization of this remnant depend on economic and environmental factors and the evaluation of the environmental performances of the processes in a life-cycle perspective is important to compare the overall sustainability of the valorization alternatives, maximizing their environmental added value. This work reports the results of Life Cycle Analysis, from cradle-to-gate of corn cob valorized as a raw material in two scenarios: corn cob pellet and corn cob abrasive grits to use as blasting or finishing media. A comparative study has been performed with two products available on the market and with the same functions. The results show that cob-based products have lower impact than those currently used. The work provides indication for evaluating the benefits of turning agricultural wastes in natural-based materials and intends to promote circular economy processes in agriculture production. Full article
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27 pages, 1663 KiB  
Article
To Weight or Not to Weight, That Is the Question: The Design of a Composite Indicator of Landscape Fragmentation
by Andrea De Montis, Vittorio Serra, Giovanna Calia, Daniele Trogu and Antonio Ledda
Appl. Sci. 2021, 11(7), 3208; https://0-doi-org.brum.beds.ac.uk/10.3390/app11073208 - 02 Apr 2021
Cited by 6 | Viewed by 1791
Abstract
Composite indicators (CIs), i.e., combinations of many indicators in a unique synthetizing measure, are useful for disentangling multisector phenomena. Prominent questions concern indicators’ weighting, which implies time-consuming activities and should be properly justified. Landscape fragmentation (LF), the subdivision of habitats in smaller and [...] Read more.
Composite indicators (CIs), i.e., combinations of many indicators in a unique synthetizing measure, are useful for disentangling multisector phenomena. Prominent questions concern indicators’ weighting, which implies time-consuming activities and should be properly justified. Landscape fragmentation (LF), the subdivision of habitats in smaller and more isolated patches, has been studied through the composite index of landscape fragmentation (CILF). It was originally proposed by us as an unweighted combination of three LF indicators for the study of the phenomenon in Sardinia, Italy. In this paper, we aim at presenting a weighted release of the CILF and at developing the Hamletian question of whether weighting is worthwhile or not. We focus on the sensitivity of the composite to different algorithms combining three weighting patterns (equalization, extraction by principal component analysis, and expert judgment) and three indicators aggregation rules (weighted average mean, weighted geometric mean, and weighted generalized geometric mean). The exercise provides the reader with meaningful results. Higher sensitivity values signal that the effort of weighting leads to more informative composites. Otherwise, high robustness does not mean that weighting was not worthwhile. Weighting per se can be beneficial for more acceptable and viable decisional processes. Full article
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