Offstream watering points for cattle as a method for riparian restoration
Bibliographic record
Abstract
The cattle grazing industry contributes to land and water degradation both in Australia and internationally, particularly in countries such as the United States of America and Canada. Currently, 50% of the world’s cattle production is set to occur in tropical and subtropical climates by 2050, but research of sustainable management practices for cattle grazing in these areas is limited. Historically, environmental research conducted in agricultural areas have focused on the negative impacts on land and water resources, while the identification, implementation and evaluation of best management practices (BMP) to counter environmental impacts while sustaining agricultural production is an evolving field of research, particularly in the Australian context. River and floodplain habitats are vital ecosystems that bridge terrestrial and aquatic ecosystems, and cattle grazing land is often collocated with these environments. By implementing BMPs, riverine ecosystem services can be maintained or improved to provide benefits to both graziers and the environment. An example of a best management practice designed to protect riverine environments is the provision of an offstream watering point (OSWP, more commonly known as a water trough) to cattle as an alternative water source to instream water, thereby reducing the time cattle spend in streams. However, previous research investigating the effectiveness of OSWPs at reducing the time cattle spend in nearby river, stream or riparian habitats has delivered mixed results. This study investigated OSWP utilisation by cattle in the Fitzroy Basin, Queensland, Australia to better understand why the effectiveness of OSWPs is not uniform. This research investigated how utilisation of OSWPs by cattle may vary with environmental factors (e.g. temperature, water quality, etc.) by initially conducting a systematic literature review and then exploring relationships among key factors identified particularly relevant ii to the beef grazing industry. Subsequently, I formally examined relationships among variables of water quality, temperature humidity index, rainfall, OSWP distance to the stream or river, vegetation, and stocking density on the results utilisation of OSWPs by cattle. Cattle’s utilisation of OSWPs was measured as a function of water consumption (WC) and visitation to OSWPs using real-time field data collected between the months of September 2017 to February 2018 from 33 paddocks in the major beef grazing region of the Fitzroy Basin. A controlled experiment was then conducted to assess cattle’s drinking preference of OSWP water quality where they were given a choice between good and lower quality water, compared to the volume of water consumed when there was no choice, and the subsequent effects this may have on cattle production. The results of the systematic literature review indicated that the time cattle spent on riverbanks (in the presence of an OSWP) was associated with paddock slope and distance between the OSWP and the river. Significant relationships were identified among factors including water quality in OSWPs, rainfall events, vegetation greenness, riparian condition, and water consumption volume (which included Temperature Humidity Index as a co-variable). Field observations on commercial beef grazing properties revealed that cattle consume approximately half of their daily water requirement from OSWPs when they have a choice to drink from either a river or an OSWP, with most OSWP visitations occurring from 8 am to 10 am. The controlled experiment indicated that cattle do not necessarily prefer water of good quality (filtered municipal water) over lower quality water when given a choice, as they consumed them equally. Instead cattle drank greater volumes when they were offered only lower quality water compared to when they were offered only good quality water. Consumption of good quality water additionally resulted in improved feed conversion rates by cattle. Findings of this study will contribute to improved water resource management for graziers and is likely to improve animal production.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.014 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".