Habitat quality assessment based on local expert knowledge and landscape patterns for bird of prey species in Hamadan, Iran

Abdollahi, Sedighe; Zeilabi, Elahe; Xu, Charles C. Y.

doi:10.1007/s40808-023-01896-y

Cited by 1 publication

(3 citation statements)

References 32 publications

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“…Based on the literature review and expert knowledge, HQ of land type j and threat parameters were initially determined 15 , 44 . The values of model parameters have been proposed by 15 experts with a wide range of environmental experience, including expertise in experimental ecology, ecological modeling, environmental impact assessment, and knowledge of the study area 10 , 18 – 20 . The structure and meaning of the table that they should fill in and the parameters were described in detail before an expert score was performed, along with an explanation of how the InVEST HQ model functions.…”

Section: Methodsmentioning

confidence: 99%

“…However, Limited studies in Iran have explored the relationship between landscape metrics and HQ 20 – 22 . These studies showed that HQ is closely associated with fragmentation resulting from landscape alterations and land use categories, thereby aiding in the comprehension of ecological attributes and habitat degradation 18 , 21 , 22 . Nevertheless, the lack of research in the central regions of Iran is apparent.…”

Section: Introductionmentioning

confidence: 96%

“…In Iran, agricultural and industrial expansion and LU/LC change have led to a reduction in HQ 17 . Several studies in Iran have investigated the impact of LULC on HQ 18 – 20 . However, Limited studies in Iran have explored the relationship between landscape metrics and HQ 20 – 22 .…”

Section: Introductionmentioning

confidence: 99%

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Impacts of spatio-temporal change of landscape patterns on habitat quality across Zayanderud Dam watershed in central Iran

Abolmaali,

Tarkesh,

Mousavi

et al. 2024

Sci Rep

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The biodiversity of an ecosystem is greatly influenced by the spatio-temporal pattern of the landscape. Understanding how landscape type affects habitat quality (HQ) is important for maintaining environmental and ecological sustainability, preserving biodiversity, and guaranteeing ecological health. This research examined the relationship between the HQ and landscape pattern. The study presented an interpretation of the biodiversity variation associated with the landscape pattern in the Zayanderud Dam watershed area by integrating the Land Change Modeler and the InVEST model. Landsat images and maximum likelihood classification were used to analyze the spatio-temporal characteristics of the landscape pattern in 1991 and 2021. The future landscape pattern in 2051 was simulated using a Land Change Modeler. Subsequently, the InVEST model and the landscape maps were used to identify the spatial distribution of HQ and its changes over three periods. The mean values of the HQ in the study area were 0.601, 0.489, and 0.391, respectively, demonstrating a decreasing trend. The effect of landscape pattern change on HQ was also assessed based on landscape metrics, including PD, NP, SHDI, and CONTAG. HQ had a significant positive correlation with the CONTAG parameter (R = 0.78). Additionally, it had a significant inverse correlation with NP (R = − 0.83), PD (R = − 0.61), and SHDI (R = − 0.42). The results showed that the habitats in the northern region had lower quality compared to those in the southern parts of the Zayanderud Dam watershed. The density, diversity, and connectivity of landscape patches significantly influence the HQ in the study area. This research has the potential to enhance understanding of the impacts of land change patterns on biodiversity and establish a scientific basis for the conservation of natural habitats. Additionally, it can facilitate efficient decision-making and planning related to biodiversity conservation and landscape management.

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