Viewpoint: The State and Transition Model Applied to the Herbaceous Layer of Argentina's Calden Forest

1995 ◽  
Vol 48 (5) ◽  
pp. 442 ◽  
Author(s):  
Enrique M. Llorens
Keyword(s):  
The State ◽  
Transition Model ◽  
Herbaceous Layer ◽  
State And Transition Model

Ecosystemic structural-functional approach of the state and transition model

2011 ◽  
Vol 14 (1) ◽  
pp. 6-16 ◽  
Author(s):  
Dardo R. López ◽  
L. Cavallero ◽  
M.A. Brizuela ◽  
M.R. Aguiar
Keyword(s):  
Functional Approach ◽  
The State ◽  
Transition Model ◽  
State And Transition Model

Sustainable livelihoods approach through the lens of the State-and-Transition Model in semi-arid pastoral systems

2016 ◽  
Vol 38 (6) ◽  
pp. 541 ◽  
Author(s):  
Marcos H. Easdale ◽  
Dardo R. López
Keyword(s):  
Sustainable Livelihoods ◽  
Ecological Systems ◽  
The State ◽  
Transition Model ◽  
Pastoral Systems ◽  
Social Ecological Systems ◽  
Social Ecological ◽  
State And Transition Model ◽  
The Impact ◽  
Semi Arid

Dealing with complex challenges worldwide regarding sustainable development and environmental management requires applied frameworks to understand and manage change in complex social-ecological systems. In this regard, frameworks that have originated from different research arenas such as the State-and-Transition Model and the sustainable livelihoods approach provide a conceptual basis for theory and operative integration. The aim of this paper was to provide a conceptual model for social-ecological research and sustainable management in semi-arid pastoral systems. We suggest integrating the state-and-transition model by including structural and functional features of social-ecological systems into the sustainable livelihoods approach. Both attributes are analysed at a household level in five types of capital that typically comprise social-ecological systems: natural, human, manufactured, social and financial. We propose to perform the structural-functional analysis for each capital as separate sub-systems in order to assess the impact of different disturbance factors. Some implications of this framework are explained by providing an example of the impact of drought in smallholder pastoral systems from semi-arid rangelands of North-West Patagonia, Argentina. This approach is encouraging as a step towards two main challenges: (i) the provision of applied frameworks for social-ecological assessment and management, and (ii) an attempt to bring closer science and decision making.

Evaluating a State-and-Transition Model Using a Long-Term Dataset

2014 ◽  
Vol 67 (2) ◽  
pp. 173-182 ◽  
Author(s):  
Anthony T. Perlinski ◽  
Ginger B. Paige ◽  
Mitchel P. McClaran
Keyword(s):  
Transition Model ◽  
State And Transition Model

scholarly journals Revision of a state-and-transition model to include descriptions of state functional attributes

Ecosphere ◽  
2018 ◽  
Vol 9 (5) ◽  
pp. e02201 ◽  
Author(s):  
C. Y. Tipton ◽  
T. W. Ocheltree ◽  
K. E. Mueller ◽  
P. Turk ◽  
M. E. Fernández-Giménez
Keyword(s):  
Transition Model ◽  
Functional Attributes ◽  
State And Transition Model

scholarly journals Demonstration of a multi‐species, multi‐response state‐and‐transition model approach for wildlife management

Ecosphere ◽  
2021 ◽  
Vol 12 (12) ◽  
Author(s):  
Ashley M. Long ◽  
Melanie R. Colón ◽  
Michael L. Morrison ◽  
Heather A. Mathewson
Keyword(s):  
Wildlife Management ◽  
Transition Model ◽  
Response State ◽  
State And Transition Model ◽  
Model Approach

scholarly journals A New State Estimation Method with Radar Measurement Missing

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Hongjian Wang ◽  
Cun Li ◽  
Ying Wang ◽  
Qing Li ◽  
Xicheng Ban
Keyword(s):  
State Estimation ◽  
State Transition ◽  
Estimation Method ◽  
The State ◽  
Kolmogorov Equation ◽  
Transition Model ◽  
Observation Data ◽  
Adjustment Strategy ◽  
Adaptive Adjustment ◽  
State Transition Model

This paper describes a method that addresses the transient loss of observations in sea surface target state estimations. A six degrees of freedom swing platform fixed with a MiniRadaScan is used to simulate the loss of observations. The state transition model based on the historical observation data fit prediction is designed because the existing state estimation method can only use the system model prediction while the observation is missing. An observation data sliding window width adaptive adjustment strategy is proposed that can improve the fitting accuracy of the state transition model. To solve the problem where the weight value of the Gaussian components of the Gaussian mixture filter is not changed in the time update stage while the observation is missing, an adaptive adjustment strategy for the weight is proposed based on the Chapman-Kolmogorov equation, which can improve the estimation precision under the conditions of the missing observation. The simulation test demonstrates the proposed accuracy and real-time performance of the proposed algorithm.

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