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The study was undertaken to examinethe production function and technical efficiency using stochastic frontier model for carp
production in Manipur. Primary data were collected from 150 carp producersfrom three districts of Manipur during 2016-17.
Production function analysis revealed that investment in fish fingerling and feed could increase the re...
Citations
... The model by West et al. (2018) is based on similar principles and focuses on the effects of direct REDD+ payments to agricultural households. Other models use heuristic approaches to land-use decisions, focusing for example on colonist households (Deadman et al., 2004) and on deforestation outcomes under different institutional settings (Costa, 2012) in frontier regions of the Brazilian Amazon. Some models also take local interactions between individual agents into account. ...
Deforestation in the Amazon with its vast consequences for the ecosystem and climate is largely related to subsequent land use for cattle ranching.In addition to conservation policies, proposals to reduce deforestation include measures to intensify cattle ranching. However, the effects of land-use intensification on deforestation are debated in the literature. This paper introduces the abacra model, a stylized agent-based model to study the interplay of deforestation and the intensification of cattle ranching in the Brazilian Amazon. The model combines social learning and ecological processes with market dynamics. In the model, agents adopt either an extensive or semi-intensive strategy of cattle ranching based on the success of their neighbors. They earn their income by selling cattle on a stylized market. We present a comprehensive analysis of the model with statistical methods and find that it produces highly non-linear transient outcomes in dependence on key parameters like the rate of social interaction and elasticity of the cattle price. We show that under many environmental and economic conditions, intensification does not reduce deforestation rates and sometimes even has a detrimental effect on deforestation. Anti-deforestation policies incentivizing fast intensification can only lower deforestation rates under conditions in which the local cattle market saturates.
... The other notable example is an ABM of the Brazilian frontier region São Félix do Xingu designed to explore the role of institutional and political settings in frontier development in the recent decades (Costa, 2012). The model captures the influence of different political settings on deforestation dynamics but does not explore the specific role of agents' decision making. ...
Die Doktorarbeit untersucht, wie sich Mensch-Umwelt-Interaktionen am Beispiel von Abholzung und Landnutzungsänderungen im Amazonas analysieren und modellieren lassen. Die Abholzung tropischer Wälder bedroht die Stabilität artenreicher Ökosysteme, lokaler Wettergeschehen und des globalen Klimas. Drei Hauptteile erforschen das Thema mit Konzepten der theoretischen Physik und Netzwerktheorie. Der erste Teil gibt einen kritischen Überblick über Modellansätze, die Entscheidungen und menschliches Verhalten beschreiben. Agentenbasierte Netzwerkmodelle ergeben sich als vielversprechender Ansatz um sozial-ökologische Systeme zu modellieren. Der zweite Teil identifiziert Muster in satellitengestützten Landbedeckungsdaten im brasilianischen Amazonas. Basierend auf der Theorie der Markov-Ketten werden Übergangsraten zwischen verschiedenen Typen von Landbedeckung berechnet und Übergangsmatrizen für Teilgebiete mit Clusteralgorithmen verglichen. Angrenzende Teilgebiete weisen ähnliche Übergänge auf. Die identifizierten Cluster decken sich mit Erkenntnissen aus Feldstudien. Auf Grundlage der geschätzten Übergangsrate ergeben sich Projektionen für die Entwicklung der Landbedeckungsanteile. Der dritte Teil entwickelt ein agentenbasiertes Modell um zu untersuchen, unter welchen Bedingungen die Intensivierung der Viehhaltung im Amazonas die Abholzung reduzieren kann. Das Modell kombiniert ökologische, ökonomische und soziale Prozesse und modelliert Landnutzungsstrategien mit Heuristiken. Die Modellanalyse zeigt, dass eine Intensivierung die Abholzung nur dann verringert, wenn der lokale Viehmarkt saturiert. Unter anderen ökonomischen Bedingungen kann Intensivierung die Abholzung erhöhen. Die Arbeit demonstriert, dass eine Kombination von Methoden aus der Theorie komplexer Systeme mit sozialwissenschaftlichen Theorien zu einem besseren Verständnis der emergenten Dynamik sozial-ökologischer Systeme führen kann – eine Grundvoraussetzung, um solche Systeme nachhaltig zu bewirtschaften.
... According to the results it is needed to set up different arrangements to take over for changing agent' behavior when they react to external conditions. In the end of the thesis, it is mentioned that, combining the institutional arrangements and the ideas of states is the descriptive power of agent models for regional scales (Costa, 2012). ...
Rapid rises in population and urbanization can cause crucial and expeditious changes on land cover and land use.
For this reason, monitoring in frequent periods of changes in the environment and heterogeneous areas is needed for
strategic planning of sustainable applications and optimized management issues. As known, various regional and
global initiations co-operates on Earth Observation services for environmental monitoring. Some main topics for
these services are land management projects, cadastre, forestry, agriculture, rural and urban planning, environmental
monitoring and so on. The improving technology and studies enable to use and analyze many different data sources
efficiently and develop new methods for image interpretation, geo-information extraction, and processing. Today,
geospatial intelligence influences all spatial and geographical sciences, as well image analysis. Widespread usage of
remote sensing images for concerning both Earth’s physical features and increase of man-made environmental
changes bring semi-automatic and automatic analysis classification methods by side. Especially, VHS resolution
imagery is started to be used as object-based image analyses methods, rule-based classification methods. Developing
countries are started to standardize the land use and land cover (LULC) classification systems and nomenclature
managing information more effectively and rapidly at national or regional levels years ago. In this study, it is
searched of advantages and requirements of ABM and agent based image analysis as an additional method to other
image analysis methods for regional monitoring programs. In additionally, ABM stages of the classification
algorithm and several ABM approaches (based on probability, Bayesian, Neural Network, and Genetic Algorithms)
are investigated and described with examples on remotely sensed data. In the result of the models; the different land
cover and land use map products are compared and interpreted in a scientific explication
