Global trends in population, energy use and climate: implications for policy development, rangeland management and rangeland users
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Increasing world human population, declining reserves of cheaply extracted fossil fuels, scarcity of supplies of fresh water and climatic instability will put tremendous pressure on world rangelands as the 21st century progresses. It is expected that the human population of the world will increase by 40% by 2050 but fossil fuel and reserves of fresh water will be drastically reduced. Avoiding food shortages and famine could be a major world challenge within the next 10 years. Under these conditions, major changes in policies relating to economic growth and use of natural resources seem essential. Stabilisation of the human population, development of clean and renewable energy, enhanced supplies of water and its quality, increased livestock production, and changed land-use policies, that minimise agricultural land losses to development and fragmentation, will all be needed to avoid declining living conditions at the global level. The health and productivity of rangelands will need to receive much more emphasis as they are a primary source of vital ecosystem services and products essential to human life. Changes in tax policies by developed, affluent countries, such as the United States, Australia and Canada, are needed that emphasise saving and conservation as opposed to excessive material consumption and land development. Extreme levels of debt and chronic deficits in trade by the United States and European Union countries need to be moderated to avoid a devastating collision of debt, depletion of natural resources, and environmental degradation. Over the next 10 years, livestock producers of the rangelands will benefit from a major increase in demand and prices for meat. Rapidly increasing demand for meat in China and other Asian countries is driving this trend. Rangeland managers, however, will also likely encounter greater climatic, financial, biological and political risks. Higher interest rates, higher production costs and higher annual variability in forage resources are major challenges that will confront rangeland managers in the years ahead. Under these conditions, a low risk approach to livestock production from rangelands is recommended that involves conservative stocking, use of highly adapted livestock, and application of behavioural knowledge of livestock to efficiently use forage resources.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it