最近的工作强调，“能量景观”应该影响动物的运动轨迹，尽管预期的模式很少被量化。我们开发了一个模型，合并速度，基材,覆盖层和地形坡度，为了确定一个精力充沛的模型动物的最小移动成本，智人,谈判城市环境，突出显示促进弯曲度增加和影响区域使用的特征。该模型表明，相邻地区之间的旅行动力成本差异很高，源于能源景观中大量的环境异质性，跨尺度产生了最曲折的最小成本路径。此外,领土动物的预计领土大小和形状可能会受到能源景观细节的影响。我们建议，对能量景观的认知对于理解动物运动模式很重要，并且成本最低和观察到的路径之间的能量差异可能会编码，并给出一个明确的值，其他重要的景观利用因素，比如恐惧的风景，食物供应或社会影响。
Recent work has highlighted that \'energy landscapes\' should affect animal movement trajectories although expected patterns are rarely quantified. We developed a model, incorporating speed, substrate, superstrate and terrain slope, to determine minimized movement costs for an energetically well-understood model animal, Homo sapiens, negotiating an urban environment, to highlight features that promote increased tortuosity and affect area use. The model showed that high differential travel power costs between adjacent areas, stemming from substantial environmental heterogeneity in the energy landscape, produced the most tortuous least-cost paths across scales. In addition, projected territory size and shape in territorial animals is likely to be affected by the details in the energy landscape. We suggest that cognisance of energy landscapes is important for understanding animal movement patterns and that energetic differences between least cost- and observed pathways might code for, and give an explicit value to, other important landscape-use factors, such as the landscape of fear, food availability or social effects.
