Gou Xiaowei, Tsunekawa Atsushi, Tsubo Mitsuru, Peng Fei, Cheng Yunxiang
Department of Grassland Resource and Ecology, College of Grassland Science and Technology, China Agricultural University, Beijing, China.
International Platform for Dryland Research and Education, Tottori University, Tottori, Japan.
Front Plant Sci. 2024 Jul 26;15:1421998. doi: 10.3389/fpls.2024.1421998. eCollection 2024.
Strategically managing livestock grazing in arid regions optimizes land use and reduces the damage caused by overgrazing. Controlled grazing preserves the grassland ecosystem and fosters sustainability despite resource limitations. However, uneven resource distribution can lead to diverse grazing patterns and land degradation, particularly in undulating terrains.
In this study, we developed a herbivore foraging algorithm based on a resource selection function model to analyze foraging distribution patterns, predict the probability of foraging, and identify the determinants of foraging probability in cattle. The study area was a complex desert landscape encompassing dunes and interdunes. Data on cattle movements and resource distribution were collected and analyzed to model and predict foraging behavior.
Our findings revealed that cattle prefer areas with abundant vegetation in proximity to water sources and avoid higher elevations. However, abundant resource availability mitigated these impacts and enhanced the role of water points, particularly during late grazing periods. The analysis showed that available resources primarily determine foraging distribution patterns and lessen the effects of landforms and water distance on patch foraging.
The results suggest that thoughtful water source placement and the subdivision of pastures into areas with varied terrain are crucial for sustainable grazing management. By strategically managing these factors, land degradation can be minimized, and the ecological balance of grassland ecosystems can be maintained. Further research is needed to refine the model and explore its applicability in other arid regions.
在干旱地区对牲畜放牧进行战略管理可优化土地利用,并减少过度放牧造成的损害。尽管资源有限,但控制放牧可保护草原生态系统并促进可持续性。然而,资源分布不均会导致不同的放牧模式和土地退化,特别是在起伏地形中。
在本研究中,我们基于资源选择函数模型开发了一种食草动物觅食算法,以分析觅食分布模式、预测觅食概率,并确定牛的觅食概率的决定因素。研究区域是一个包含沙丘和丘间地的复杂沙漠景观。收集并分析了牛的活动和资源分布数据,以建模和预测觅食行为。
我们的研究结果表明,牛更喜欢靠近水源且植被丰富的区域,而避开较高海拔地区。然而,丰富的资源可用性减轻了这些影响,并增强了饮水点的作用,特别是在放牧后期。分析表明,可用资源主要决定觅食分布模式,并减轻地形和水源距离对斑块觅食的影响。
结果表明,精心规划水源位置以及将牧场细分为地形各异的区域对于可持续放牧管理至关重要。通过对这些因素进行战略管理,可将土地退化降至最低,并维持草原生态系统的生态平衡。需要进一步研究以完善该模型,并探索其在其他干旱地区的适用性。