Relationships between habitat quality and ecological properties across Ziarat Basin in northern Iran

Mirghaed, Fazlolah Ahmadi; Souri, Bubak

doi:10.1007/s10668-021-01343-x

Cited by 13 publications

(12 citation statements)

References 45 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%

“…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%

“…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 . 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 .…”

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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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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“…Holding the largest stock of carbon (C) pools, soils play an important role in global C (Alidoust et al, 2018;Palosuo et al, 2016). On the one hand, C is among the most important factors of soil quality and ecosystem services that contribute to accounting for environmental conditions (Ghosh et al, 2019;Mirghaed & Souri, 2021). Soil organic carbon (SOC) and its changes depend on land cover characteristics, soil physical and biological conditions, previous C stocks in soil and management methods (Alidoust et al, 2018;Corbeels et al, 2020;Ferreira et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Effect of metal and polycyclic aromatic hydrocarbon contamination on soil organic carbon storage in semiarid areas

Jahantab

2023

Irrigation and Drainage

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Metal and polycyclic aromatic hydrocarbon (PAH) contamination severely influences the carbon storage potential of the biosphere. This study was conducted to investigate the changes in soil organic carbon (SOC) under metal and PAH contamination in the industrial area of Shiraz, Iran, over a period of 5 years. Canonical correspondence analysis and linear correlation analysis were performed to identify the relationship between metals, PAHs, vegetation and SOC. The results showed that both metals and PAHs significantly reduced SOC (p < 0.001). Metals played a more important role in SOC changes than PAHs by changing the vegetation characteristics. Increasing concentrations of ∑PAH (R2 = 0.33), phenanthrene (R2 = 0.36) and naphthalene (R2 = 0.42) were directly related to decreasing SOC. Additionally, the metals copper (Cu), lead (Pb), strontium (Sr), vanadium (V), chromium (Cr) and zinc (Zn) with the highest enrichment factor (EF; i.e. Pb = 5.42) had a negative correlation with SOC (R2 = 0.77). In general, metal contamination was more visible than PAH contamination and severely reduced the SOC. Overall, the management and filtration of polluting sources can prevent vegetation decline from reducing the SOC.

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“…However, the rapid growth of industrialization and urbanization has intensified changes in land use and ecological issues, such as landscape fragmentation, occupation of natural habitat, environmental pollution, and loss of biodiversity [2], leading to a drastic reduction in habitat quality [3]. Habitat quality refers to the ability of the environment to provide conditions for human sustainable development and is an important support for species diversity and reproduction [4,5]. Numerous studies have shown that landscape pattern changes have a strong effect on habitat quality [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Is There a Spatial Relationship between Urban Landscape Pattern and Habitat Quality? Implication for Landscape Planning of the Yellow River Basin

Zhang

Wang

et al. 2022

IJERPH

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The extent to which landscape spatial patterns can impact the dynamics and distribution of biodiversity is a key geography and ecology issue. However, few previous studies have quantitatively analyzed the spatial relationship between the landscape pattern and habitat quality from a simulation perspective. In this study, the landscape pattern in 2031 was simulated using a patch-generating simulation (PLUS) model for the Yellow River Basin. Then, the landscape pattern index and habitat quality from 2005 to 2031 were evaluated using the Fragstats 4.2 and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. Furthermore, we analyzed the spatial distribution characteristics and spatial spillover effects of habitat quality using spatial autocorrelation analysis. Finally, the spatial association between the landscape pattern index and habitat quality was quantitatively revealed based on a spatial lag model. The simulation results showed that: (1) from 2005 to 2031, the landscape of the Yellow River Basin would be dominated by grassland and unused land, and the areas of construction land and water body will increase significantly, while the area of grassland will decrease; (2) patch density (PD) and Shannon’s diversity index (SHDI) show significant increases, while edge density (ED), landscape shape index (LSI), mean patch area (AREA_MN), and contagion index (CONTAG) decrease; (3) from 2005 to 2031, habitat quality would decrease. The high-value areas of habitat quality are mainly distributed in the upper reaches of the Yellow River Basin, and the low-value areas are distributed in the lower reaches. Meanwhile, both habitat quality and its change rate present positive spatial autocorrelation; and (4) the spatial relationships of habitat quality with PD and COHESION are negative, while ED and LSI have positive impacts on habitat quality. Specifically, landscape fragmentation caused by high PD has a dominant negative influence on habitat quality. Therefore, this study can help decision makers manage future landscape patterns and develop ecological conservation policy in the Yellow River Basin.

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Relationships between habitat quality and ecological properties across Ziarat Basin in northern Iran

Cited by 13 publications

References 45 publications

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

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

Effect of metal and polycyclic aromatic hydrocarbon contamination on soil organic carbon storage in semiarid areas

Is There a Spatial Relationship between Urban Landscape Pattern and Habitat Quality? Implication for Landscape Planning of the Yellow River Basin

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