In the Southwestern U.S., land managers face equally critical and difficult decisions when it comes to their ranges. The region is known for its climate variability which has strong influences and impacts on range conditions. Access to the latest climate and range science information is vital for managers to make effective short and long-term decisions. An experiential learning exercise was held at a meeting in January, 2006 to open communication between land managers and scientists about climate and range science concepts.
The main objective of the exercise was to challenge range managers to explore how long-term temperature changes and precipitation distribution may impact their management strategies. Adjustment of planning time was also stressed for adaptation to climatic conditions. Participants explored potential plans for rangelands under changing climates. Description and outcomes of this event were published in the 2007 volume 36 of Journal of Natural Resources and Life Sciences Education.
The exercise consisted of several rounds where management decisions had to be made in certain climate conditions. Groups of five to 10 individuals were given situational and financial restraints with a 1,000 acre parcel of land. Its condition was determined by chance for six decision periods that represented 60 years. Each round, groups discussed potential changes to and transitions of their land based on interactions between its initial state, any disturbances and the data of climate changes by each decade. The groups used management strategies to either keep their land in its original state or improve its condition. The purpose of this exercise was to give an opportunity to investigate the complexities in range management decisions based on climate change at the small group level.
According to the study’s authors, the exercise was valuable to its participants who took an active role in making management decisions. They became more comfortable with the concepts of climate change, working with state and transition models and working together with scientists and/or land managers. It was also effective in increasing awareness of the impacts of long-term temperature and precipitation changes on their management strategies.
Evaluation results indicated that the exercise was useful in creating small group discussions between scientists and managers on the complex interactions between short and long-term climate changes and management decisions. It also identified strengths and weaknesses of the state and transition approach and highlighting information gaps for everyday decision making.
Though designed for use in semi-desert grasslands, the exercise could be adapted for use in any part of the country. Required adaptations would include selecting a local major land resource area (MLRA); modifying the initial state of the parcel, the management objectives, and the potential environmental disturbances appropriate for the area. Relevant temperature and precipitation datasets would need to be developed based on climate change projections for the region also.
Sara Uttech | EurekAlert!
Global farming trends threaten food security
11.07.2019 | Martin-Luther-Universität Halle-Wittenberg
Scientists decode DNA secrets of world's toughest bean
09.07.2019 | University of California - Riverside
Scientists at the University Würzburg and University Hospital of Würzburg found that megakaryocytes act as “bouncers” and thus modulate bone marrow niche properties and cell migration dynamics. The study was published in July in the Journal “Haematologica”.
Hematopoiesis is the process of forming blood cells, which occurs predominantly in the bone marrow. The bone marrow produces all types of blood cells: red...
For some phenomena in quantum many-body physics several competing theories exist. But which of them describes a quantum phenomenon best? A team of researchers from the Technical University of Munich (TUM) and Harvard University in the United States has now successfully deployed artificial neural networks for image analysis of quantum systems.
Is that a dog or a cat? Such a classification is a prime example of machine learning: artificial neural networks can be trained to analyze images by looking...
An international research group led by scientists from the University of Bayreuth has produced a previously unknown material: Rhenium nitride pernitride. Thanks to combining properties that were previously considered incompatible, it looks set to become highly attractive for technological applications. Indeed, it is a super-hard metallic conductor that can withstand extremely high pressures like a diamond. A process now developed in Bayreuth opens up the possibility of producing rhenium nitride pernitride and other technologically interesting materials in sufficiently large quantity for their properties characterisation. The new findings are presented in "Nature Communications".
The possibility of finding a compound that was metallically conductive, super-hard, and ultra-incompressible was long considered unlikely in science. It was...
An interdisciplinary research team at the Technical University of Munich (TUM) has built platinum nanoparticles for catalysis in fuel cells: The new size-optimized catalysts are twice as good as the best process commercially available today.
Fuel cells may well replace batteries as the power source for electric cars. They consume hydrogen, a gas which could be produced for example using surplus...
The fly agaric with its red hat is perhaps the most evocative of the diverse and variously colored mushroom species. Hitherto, the purpose of these colors was...
24.06.2019 | Event News
29.04.2019 | Event News
17.04.2019 | Event News
17.07.2019 | Life Sciences
17.07.2019 | Physics and Astronomy
17.07.2019 | Physics and Astronomy