Landscape Metrics Explain the Ecological Susceptibility of Terrestrial Ecosystems

Abstract: This study examines the effects of the change in the shape of landscape patches, known as landscape structure, on ecological susceptibility, which is defined using the object-oriented method. The aim is to determine whether ecological susceptibility is influenced by the shape of the landscape patches in the southern basin of the Caspian Sea. The multivariate linear regression approach is applied to discover the extent to which the mean, median, and weighted average of the landscape structure metrics can explain the total variations of the ecological susceptibility. To determine the optimal models, an intermodel comparison is conducted using the Akaike information criterion. Sensitivity and uncertainty analyses were performed to determine how sensitive ecological susceptibility is to changes in the variables of the models and how they behave under varying conditions. The models (0.64≥r2≥0.27, p ≤ 0.05) indicate that the landscape structure metrics can be applied to predict ecologica.... https://www.landscape-online.org/index.php/lo/article/view/205

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Landscape Metrics Explain the Ecological Susceptibility of Terrestrial Ecosystems ; year:2022 ; Landscape online ; (2022)

Contributors, Places and Time

• Creator: Istanbuly, Mustafa Nur ; Kaboli, Mohammad ; Ahmadi, Sara ; Tian, Gouhang ; Michalak, Magdalena ; Amiri, Bahman Jabbarian

Further information

• DOI: 10.3097/LO.2022.1101
• URN: urn:nbn:de:101:1-2023091313200962048652
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 11:04 AM CEST