State-and-transitions models (STMs) are becoming a preferred method for monitoring rangeland ecosystems and a key input in adaptive management strategies. Yet, land managers do not readily adopt these tools. In this article, we suggest a creative means for increasing awareness of STMs through active participation in a ranch management game accompanying an STM workshop. Recent evaluations indicate successful transmission of key concepts, but adoption of STMs will take time to measure. We review the impetus for developing the STM game, describe the workshop/simulation game structure, and conclude with notable limitations and next steps. The Rangelands archives are made available by the Society for Range Management and the University of Arizon...
Rangeland managers are charged with managing complex social-ecological systems. While they must be c...
On the Ground•Engaging multiple stakeholders in building state-and-transition models (STMs) can incr...
New technologies may enhance management by enabling quantitative testing of assumptions of vegetatio...
Arid and semiarid rangelands often behave unpredictably in response to management actions and enviro...
State-and-transition models (STMs) are being developed for many areas in the United States and repre...
On the Ground • Engaging multiple stakeholders in building state-and-transition models (STMs) can in...
US government agencies are adopting state and transition models (STMs) for rangeland evaluation, mon...
We discuss what concepts or models should be used to organize research and management on rangelands....
State-and-transition models (STMs) depict current understanding of vegetation dynamics and are being...
The Rangelands archives are made available by the Society for Range Management and the University of...
Session 3: Combining and reconciling services on farming system and landscape scalesTo support the d...
State-and-transition models have received a great deal of attention since the introduction of the co...
Rangelands are a major type of land found on all continents. Though they comprise around 70% of the ...
A large number of empirical and mechanistic simulation models and decision support tools have been p...
AbstractA large number of empirical and mechanistic simulation models and decision support tools hav...
Rangeland managers are charged with managing complex social-ecological systems. While they must be c...
On the Ground•Engaging multiple stakeholders in building state-and-transition models (STMs) can incr...
New technologies may enhance management by enabling quantitative testing of assumptions of vegetatio...
Arid and semiarid rangelands often behave unpredictably in response to management actions and enviro...
State-and-transition models (STMs) are being developed for many areas in the United States and repre...
On the Ground • Engaging multiple stakeholders in building state-and-transition models (STMs) can in...
US government agencies are adopting state and transition models (STMs) for rangeland evaluation, mon...
We discuss what concepts or models should be used to organize research and management on rangelands....
State-and-transition models (STMs) depict current understanding of vegetation dynamics and are being...
The Rangelands archives are made available by the Society for Range Management and the University of...
Session 3: Combining and reconciling services on farming system and landscape scalesTo support the d...
State-and-transition models have received a great deal of attention since the introduction of the co...
Rangelands are a major type of land found on all continents. Though they comprise around 70% of the ...
A large number of empirical and mechanistic simulation models and decision support tools have been p...
AbstractA large number of empirical and mechanistic simulation models and decision support tools hav...
Rangeland managers are charged with managing complex social-ecological systems. While they must be c...
On the Ground•Engaging multiple stakeholders in building state-and-transition models (STMs) can incr...
New technologies may enhance management by enabling quantitative testing of assumptions of vegetatio...