The ecological management of ecologically sensitive areas is highly sensitive and complex. The three-dimensional ecological footprint assessment for ecologically sensitive areas plays a decisive role in the overall development of a region's ecological environment and can be helpful for promoting the coordinated and sustainable development of economic and natural capital utilization. Taking a typical ecologically sensitive area in the southern Qin Ling piedmont of Shaanxi (southern Shaanxi) as an example, this paper describes the per capita ecological footprint $\left(EF\right)$ and per capita biological capacity $\left(BC\right)$ from 2005 to 2015. In addition, based on an analysis of the utilization of capital stocks and flows and the ecological footprint depth $\left(E{F}_{depth}\right)$ and size $\left(E{F}_{size}\right)$, the factors driving changes in the region's ecological footprint size are revealed by a partial least squares model (PLS model). The results indicate that the per capita biological capacity in the southern Qin Ling piedmont of Shaanxi remained stable at 2.100 ha/cap and that the per capita ecological footprint increased, with fluctuations between 1.359 ha/cap and 2.239 ha/cap. After the first appearance of a per capita ecological deficit in 2013, the ecological footprint depth peaked in 2014 at 1.049 ha/cap. The capital stocks consumption rate was well controlled, which meant that capital flows remained the main source of natural capital. The main factors driving the ecological footprint size are commonly used arable land, the per capita disposable income of urban residents and the primary industry output value. Therefore, some suggestions are offered as follows: control the land use for urbanization, accelerate industrial restructuring and upgrading, and establish a mechanism for environmental monitoring and warning.

生态敏感区的生态管理是高度敏感和复杂的。对生态敏感区的三维生态足迹评估在区域生态环境的总体发展中起着决定性的作用，有助于促进经济和自然资本利用的协调和可持续发展。以陕西南部秦岭前山典型生态敏感区为例，描述人均生态足迹$（EF）$ 和人均生物能力 $（乙C）$ 从2005年到2015年。此外，基于对资本存量和流量的利用以及生态足迹深度的分析 $（E{F}_{dËpŤH}）$ 和大小 $（E{F}_{s\mathrm{一世}žË}）$，通过偏最小二乘模型（PLS模型）揭示了驱动该地区生态足迹规模变化的因素。结果表明，陕西秦岭南部人均生物承载力稳定在2.100公顷/人均，人均生态足迹增加，在1.359公顷/人与2.239公顷/人之间波动。在2013年首次出现人均生态赤字之后，生态足迹深度在2014年达到1.049公顷/人均的峰值。资本存量的消费率得到了很好的控制，这意味着资本流动仍然是自然资本的主要来源。影响生态足迹规模的主要因素是常用耕地，城镇居民人均可支配收入和第一产业产值。所以，