Dipartimento di Agraria, Università degli Studi Mediterranea di Reggio Calabria, Località Feo di Vito, I-89122, Reggio Calabria, Italy.
Dipartimento di Agraria, Università degli Studi Mediterranea di Reggio Calabria, Località Feo di Vito, I-89122, Reggio Calabria, Italy.
J Environ Manage. 2021 Jul 1;289:112494. doi: 10.1016/j.jenvman.2021.112494. Epub 2021 Apr 3.
Today, major landscape changes affect ecological connectivity exerting adverse effects on ecosystems. Connectivity is a critical element of landscape structure and supports ecosystem functionality. Landscape connectivity can be efficiently increased in landscape ecology by building ecological networks (EN) through models mimicking the interaction between animal and vegetal species and their environment. ENs are important in sustainable landscape planning, where they need to be studied both by applying landscape metrics and by performing multi-temporal analyses. This paper presents theoretical and practical evidence of an analysis of a multispecies ecological network in Calabria (Italy) and its changes over three decades. Landscape connectivity was modeled basing on 66 focal faunal species' requirements. Human disturbance (HD) was defined and assessed according to distance from different disturbance sources. This allowed for the definition of overall habitat quality (oHQ). Landscape permeability to the animal movement was focused as the main concept to measure landscape fragmentation. Landscape graph theory was applied to perform a spatial comparison of the ENs robustness. Many binary and probabilistic indices and landscape morphological spatial pattern analysis (MSPA) were used in this perspective. We obtained a set of ecological networks, including nodes, patches (i.e., habitat patches), linkages, and corridors, all intertwined in one giant component. The multi-temporal analysis showed many indices' stationary values, while MSPA yielded an increase of habitat quality and habitat patches in core areas. This methodological approach allowed for assessing the regional EN's robustness in the time-span considered, thus providing a reliable tool for landscape planners and communities.
如今,大规模的景观变化影响了生态连通性,对生态系统造成了不利影响。连通性是景观结构的关键要素,支持着生态系统的功能。通过模拟动植物物种及其环境之间的相互作用来建立生态网络 (EN),可以在景观生态学中有效地提高连通性。EN 在可持续景观规划中非常重要,需要通过应用景观指标和进行多时相分析来研究它们。本文提出了对意大利卡拉布里亚(Calabria)多物种生态网络及其三十年来变化的理论和实际分析证据。景观连通性是基于 66 种焦点动物物种的需求来建模的。根据与不同干扰源的距离来定义和评估人为干扰(HD),从而定义整体栖息地质量(oHQ)。动物运动的景观渗透性被视为衡量景观破碎化的主要概念。景观图论被应用于生态网络稳健性的空间比较。在这种情况下,使用了许多二进制和概率指数以及景观形态空间格局分析(MSPA)。我们得到了一组生态网络,包括节点、斑块(即栖息地斑块)、连接和廊道,它们都交织在一起形成一个巨大的整体。多时相分析显示了许多指数的稳定值,而 MSPA 则导致核心区域的栖息地质量和栖息地斑块增加。这种方法允许评估所考虑时间段内区域生态网络的稳健性,从而为景观规划者和社区提供了一个可靠的工具。