Agent-Based Simulations of Household Decision Making and Land Use Change near Altamira, Brazil

Author(s):  
Kevin Lim ◽  
Peter J. Deadman

Individuals who influence decisions regarding the use of land, operate within a complex environment comprised of interacting elements that include both natural systems and human institutions. Individually, the elements of the natural and human systems that influence land-use decisions may be very complex. Within natural systems, dynamic processes, such as the hydrological cycle, and the distribution of biophysical resources, such as soil fertility, influence land-use decision making. Elements of an individual’s institutional environment can also influence the options and incentives that are available to an individual, and thus the land-use decisions that thhey make. Understanding the nature of these complex processes and interactions is a nontrivial task. However, agent-based simulation offers researchers a tool to better understand the nature of these complex systems. The recent development of computer simulation technologies by social scientists has provided a tool for not only predicting social phenomena, but also for better understanding the nature of these human systems. Replicative validity is not the goal of many social simulation efforts. Instead, researchers have focused on developing relatively simple simulations as tools for understanding the properties of social systems and the way in which interactions between actors at the local level results in the emergence of behaviors or phenomena at the global level. In this role, simulation becomes a tool for evaluating assumptions and exercising theories of action. Many of the techniques applied to social simulation can be traced back to earlier developments in the physical or natural sciences. For example, computer simulation has a relatively long history in the natural sciences in applications related to fisheries, forest environments, and watersheds. But recent advances in computer hardware and software technologies have made these technologies accessible to social scientists. Recently, we have seen simulation efforts that have included models of not only the natural system in question, but also the human system with which it interacts. In fields such as anthropology and resource management , human systems simulations are being developed which directly address the actions of human individuals or groups as they interact with a natural system. This approach to simulation is pursued in this chapter.

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2814 ◽  
Author(s):  
Thomas J. Habib ◽  
Scott Heckbert ◽  
Jeffrey J. Wilson ◽  
Andrew J. K. Vandenbroeck ◽  
Jerome Cranston ◽  
...  

The science of ecosystem service (ES) mapping has become increasingly sophisticated over the past 20 years, and examples of successfully integrating ES into management decisions at national and sub-national scales have begun to emerge. However, increasing model sophistication and accuracy—and therefore complexity—may trade-off with ease of use and applicability to real-world decision-making contexts, so it is vital to incorporate the lessons learned from implementation efforts into new model development. Using successful implementation efforts for guidance, we developed an integrated ES modelling system to quantify several ecosystem services: forest timber production and carbon storage, water purification, pollination, and biodiversity. The system is designed to facilitate uptake of ES information into land-use decisions through three principal considerations: (1) using relatively straightforward models that can be readily deployed and interpreted without specialized expertise; (2) using an agent-based modelling framework to enable the incorporation of human decision-making directly within the model; and (3) integration among all ES models to simultaneously demonstrate the effects of a single land-use decision on multiple ES. We present an implementation of the model for a major watershed in Alberta, Canada, and highlight the system’s capabilities to assess a suite of ES under future management decisions, including forestry activities under two alternative timber harvest strategies, and through a scenario modelling analysis exploring different intensities of hypothetical agricultural expansion. By using a modular approach, the modelling system can be readily expanded to evaluate additional ecosystem services or management questions of interest in order to guide land-use decisions to achieve socioeconomic and environmental objectives.


2020 ◽  
Vol 12 (13) ◽  
pp. 5380 ◽  
Author(s):  
Ida Nadia S. Djenontin ◽  
Leo C. Zulu ◽  
Arika Ligmann-Zielinska

Restoring interlocking forest-agricultural landscapes—forest-agricscapes—to sustainably supply ecosystem services for socio-ecological well-being is one of Malawi’s priorities. Engaging local farmers is crucial in implementing restoration schemes. While farmers’ land-use decisions shape land-use/cover and changes (LUCC) and ecological conditions, why and how they decide to embrace restoration activities is poorly understood and neglected in forest-agricscape restoration. We analyze the nature of farmers’ restoration decisions, both individually and collectively, in Central Malawi using a mixed-method analysis. We characterize, qualitatively and quantitatively, the underlying contextual rationales, motives, benefits, and incentives. Identified decision-making rules reflect diverse and nuanced goal frames of relative importance that are featured in various combinations. We categorize the decision-making rules as: problem-solving oriented, resource/material-constrained, benefits-oriented, incentive-based, peers/leaders-influenced, knowledge/skill-dependent, altruistic-oriented, rules/norms-constrained, economic capacity-dependent, awareness-dependent, and risk averse-oriented. We link them with the corresponding vegetation- and non-vegetation-based restoration practices to depict the overall decision-making processes. Findings advance the representation of farmers’ decision rules and behavioral responses in computational agent-based modeling (ABM), through the decomposition of empirical data. The approach used can inform other modeling works attempting to better capture social actors’ decision rules. Such LUCC-ABMs are valuable for exploring spatially explicit outcomes of restoration investments by modeling such decision-making processes and policy scenarios.


2017 ◽  
Vol 87 ◽  
pp. 39-48 ◽  
Author(s):  
J. Groeneveld ◽  
B. Müller ◽  
C.M. Buchmann ◽  
G. Dressler ◽  
C. Guo ◽  
...  

2014 ◽  
Vol 25 (4) ◽  
pp. 407-420 ◽  
Author(s):  
Stefano Salata

Purpose – Land use change in the Alpine Regions is dominated by two main factors: a process of re-naturalization and a process of expansion for settlements with the relevant occupation of low-valley areas. The purpose of this paper is to present an overview of land take measures in the Lombardy Alpine context and the recent proposals of spatial planning instruments for land resource management. New solutions to limit soil sealing have to be confronted with qualitative proposals at local scale. Design/methodology/approach – The paper collects different research outputs regarding land take in the Italian Alpine context and carried out by GIS software and tries to show the new methodologies available for limiting and mitigating soil sealing, in accordance with DIAMONT aims. Findings – The paper argues that the data are now available to analyze the problem and new operative methods have to be settled in the recent context of European Union (Soil Sealing Guidelines) to support decision making in planning, suggesting land use allocation and possible ecological compensation. Research limitations/implications – The new qualitative decision models have to be assessed for a better ecological integration in supporting land use decisions. Practical implications – An evaluation of land take at local scale caused by land use changes is a good support in the decision-making process of planning. Originality/value – In this paper a method based on a local scale is reported, which can be used for the specific assessment of land take in order to support land-use decisions.


2021 ◽  
Author(s):  
◽  
Nicola Scott

<p>Increasing global populations are placing increasing pressure on our natural systems, reducing their capacity to produce the ecosystem services that we rely upon for human wellbeing (World Bank, 2004).   Clarifying the implications of land-use decisions across the range of ecosystem services is fundamental to understanding the trade-offs inherent in land-use options. LUCI (the Land Utilization and Capability Indicator) is an emergent Geographic Information Systems (GIS) based framework developed to enable the mapping of several ecosystem services in a spatially explicit manner. This process enables a clearer understanding of the inter-dependencies between ecosystems and potential implications and trade-offs of management interventions across a range of services.   There is however, limited understanding of the impact, utility and credibility of such tools for land-use decision-makers, or of how they perceive the information conveyed. This Thesis considered the impact that presenting information on land-use trade-offs through LUCI had on land-owners at the farm scale.   This research supports previous findings that information alone does not drive behaviour (or decision-making) (Kollmuss, 2002, Fisk, 2011; Kennedy, 2010; Mackenzie-Mohr, 2000; Stern, 2000). Similarly, perceived credibility was not the main driver of decision-making nor is it necessarily rationally based. However without it, voluntary adoption of a new technology or tool is unlikely. Therefore, in seeking to diffuse tools, such as LUCI within a community, process design should take into account the social structures and the characteristics of targeted individuals within that community. The influence of temporal and context specific factors on decision-making provides both barriers and opportunities for technology diffusion.  The research findings propose that when integrating new tools and technologies within communities, consideration is given to using a suite of tools, mechanisms and theories in concert such as Community-Based Social Marketing (Mackenzie-Mohr, 2011) and Diffusion Theory (Rogers, 2003) to facilitate improved diffusion and uptake by communities.</p>


Entropy ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. 1105 ◽  
Author(s):  
Krzysztof Małecki ◽  
Tomasz M. Gwizdałła ◽  
Paweł Bieńko

Mess (disorder)—there are many different meanings related to this problem. The explicit majority comes from the area of philosophical, social and medical sciences. In our paper, we try to present the engineering aspect of the concept of disorder. We propose a mathematical model which describes the effects and consequences concerning the process of making the mess. We use Multi-Agent Modeling, where there are several independent agents with decision-making ability. Each agent has the ability to communicate and perceive for achieving its own aim. We use square grid n × n with objects which can be moved by agents to another places. The degree of disorder of the system is examined by the value of entropy. Using computer simulation, we investigate the time needed to find the desired thing in an environment in which agents (in real life, people) co-exist and they have different tendencies to tidiness. The cost of mess is counted as the number of attempts to access the object in the analyzed system and the time needed to locate the object.


Author(s):  
Shima Nabinejad ◽  
Holger Schüttrumpf

Reducing the probability of flooding by flood defence structures might not be successful without appropriate actions taken in order to mitigate flood damages. Moreover, success depends on actions at both governmental and individual levels. Therefore, farmers as the inhabitant of flooding areas may contribute to flood management in terms of land use policies which lead to communication, human interaction, and adaptation. However, these social behaviors have not taken into account in flood management studies due to their complex nature and human has been only considered as the receptor of flooding without paying attention to multiple feedbacks over time horizons with a dynamic approach. In our study, we overcome this deficiency by employing Agent Based Model (ABM) of land use policy in flood risk management and address challenges regarding social interactions in this research area. Our Agent Based Model includes perspectives from engineering, decision making, and socio-economics allowing to model human-flood interactions. In this model, farmers are considered as individuals whose decisions depend on climatic conditions, crop yields, costs and prices, flood damage, personal risk perception, and their social interactions. This is achieved by integrating three main modules including hydrological module, flood analysis module, and decision making module in the frame of Agent Based Model. This paper has shed some light on main concepts of our Agent Based Model including the developed methodology, main modules, required information, and initial results. It also summarizes the components of the modules and the governed interactions.


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