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Land
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Land System Science
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Land System Science

A special issue of Land (ISSN 2073-445X).

Deadline for manuscript submissions: closed (31 August 2017) | Viewed by 24796

Special Issue Editor

Prof. Dr. Richard Aspinall

E-Mail Website
Guest Editor
Honorary Research Fellow, James Hutton Institute, Aberdeen AB15 8QH, Scotland, UK
Interests: land systems science; land use; GIS; sustainability; environmental change; landscape ecology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Understanding of land as a coupled human-environment system is rapidly growing in importance in research and policy at local, regional, national, and international scales. Land systems research also informs wider land management, and connects land use with social, economic, and environmental dimensions of sustainability. Recent advances in land systems science include understanding of human-environment relationships that underpin and drive land system dynamics, developments in measurement and monitoring of land system changes, use of advanced GIS/remote sensing and modelling technologies, increased availability of datasets, notably time series data, and increasing capability for modeling and analysis of land systems. Together, these developments give opportunities to offer new insights into land systems, the nature of change, and the consequences of policy and other interventions.

For this Special Issue, we are seeking papers that examine the full scope of land systems science, notably the structure, function, behaviour, and dynamics of land systems, including examples of the use of mixed methodologies to address interdependence between coupled human and environmental dimensions of land systems.

Prof. Richard Aspinall
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

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Research

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1964 KiB  
Article
A Conceptual Model for Land System Dynamics as a Coupled Human–Environment System
by Richard Aspinall and Michele Staiano
Land 2017, 6(4), 81; https://doi.org/10.3390/land6040081 - 16 Nov 2017
Cited by 30 | Viewed by 7210
Abstract
This paper presents a conceptual model of land as a coupled human–environment system. Land use and land cover are incorporated as elements of the human and environment system respectively. Drivers and associated processes that influence land use, land cover, and land system dynamics [...] Read more.
This paper presents a conceptual model of land as a coupled human–environment system. Land use and land cover are incorporated as elements of the human and environment system respectively. Drivers and associated processes that influence land use, land cover, and land system dynamics are incorporated within a set of sub-systems. The model includes consideration of driving sub-systems as a set of capital funds and flows, and how these are influenced by linkages between processes in the human (socio-economic) and environment systems and sub-systems. The model is consistent with existing models of the biophysical earth system used by the land change, earth system sciences, and socio-ecological systems communities. The purposes of the model are to provide (i) a holistic framework within which descriptions, models and analyses that focus on various components of land can be placed to describe and explain land systems and land system changes; and (ii) a guide for the development of more fully integrated and interdisciplinary understanding, analysis and study of land use and land cover dynamics, with explicit focus on relationships between human and natural systems. Full article
(This article belongs to the Special Issue Land System Science)
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3443 KiB  
Article
Typologies and Spatialization of Agricultural Production Systems in Rondônia, Brazil: Linking Land Use, Socioeconomics and Territorial Configuration
by Cláudio Almeida, Moisés Mourão, Nadine Dessay, Anne-Elisabeth Lacques, Antônio Monteiro, Laurent Durieux, Adriano Venturieri and Frédérique Seyler
Land 2016, 5(2), 18; https://doi.org/10.3390/land5020018 - 22 Jun 2016
Cited by 9 | Viewed by 7603
Abstract
The current Amazon landscape consists of heterogeneous mosaics formed by interactions between the original forest and productive activities. Recognizing and quantifying the characteristics of these landscapes is essential for understanding agricultural production chains, assessing the impact of policies, and in planning future actions. [...] Read more.
The current Amazon landscape consists of heterogeneous mosaics formed by interactions between the original forest and productive activities. Recognizing and quantifying the characteristics of these landscapes is essential for understanding agricultural production chains, assessing the impact of policies, and in planning future actions. Our main objective was to construct the regionalization of agricultural production for Rondônia State (Brazilian Amazon) at the municipal level. We adopted a decision tree approach, using land use maps derived from remote sensing data (PRODES and TerraClass) combined with socioeconomic data. The decision trees allowed us to allocate municipalities to one of five agricultural production systems: (i) coexistence of livestock production and intensive agriculture; (ii) semi-intensive beef and milk production; (iii) semi-intensive beef production; (iv) intensive beef and milk production, and; (v) intensive beef production. These production systems are, respectively, linked to mechanized agriculture (i), traditional cattle farming with low management, with (ii) or without (iii) a significant presence of dairy farming, and to more intensive livestock farming with (iv) or without (v) a significant presence of dairy farming. The municipalities and associated production systems were then characterized using a wide variety of quantitative metrics grouped into four dimensions: (i) agricultural production; (ii) economics; (iii) territorial configuration, and; (iv) social characteristics. We found that production systems linked to mechanized agriculture predominate in the south of the state, while intensive farming is mainly found in the center of the state. Semi-intensive livestock farming is mainly located close to the southwest frontier and in the north of the state, where human occupation of the territory is not fully consolidated. This distributional pattern reflects the origins of the agricultural production system of Rondônia. Moreover, the characterization of the production systems provides insights into the pattern of occupation of the Amazon and the socioeconomic consequences of continuing agricultural expansion. Full article
(This article belongs to the Special Issue Land System Science)
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Review

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1213 KiB  
Review
How Are Feedbacks Represented in Land Models?
by Yang Chen, Martha M. Bakker, Arend Ligtenberg and Arnold K. Bregt
Land 2016, 5(3), 29; https://doi.org/10.3390/land5030029 - 11 Sep 2016
Cited by 9 | Viewed by 7830
Abstract
Land systems are characterised by many feedbacks that can result in complex system behaviour. We defined feedbacks as the two-way influences between the land use system and a related system (e.g., climate, soils and markets), both of which are encompassed by the land [...] Read more.
Land systems are characterised by many feedbacks that can result in complex system behaviour. We defined feedbacks as the two-way influences between the land use system and a related system (e.g., climate, soils and markets), both of which are encompassed by the land system. Land models that include feedbacks thus probably more accurately mimic how land systems respond to, e.g., policy or climate change. However, representing feedbacks in land models is a challenge. We reviewed articles incorporating feedbacks into land models and analysed each with predefined indicators. We found that (1) most modelled feedbacks couple land use systems with transport, soil and market systems, while only a few include feedbacks between land use and social systems or climate systems; (2) equation-based land use models that follow a top-down approach prevail; and (3) feedbacks’ effects on system behaviour remain relatively unexplored. We recommend that land system modellers (1) consider feedbacks between land use systems and social systems; (2) adopt (bottom-up) approaches suited to incorporating spatial heterogeneity and better representing land use decision-making; and (3) pay more attention to nonlinear system behaviour and its implications for land system management and policy. Full article
(This article belongs to the Special Issue Land System Science)
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