Effects of landscape pattern change on ecosystem services and its interactions in karst cities: A case study of Guiyang City in China

Liu, Shujun; Wang, Zhijie; Wu, Wu; Yu, Lifei

doi:10.1016/j.ecolind.2022.109646

Cited by 29 publications

(14 citation statements)

References 65 publications

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“…3D & 3E ). This is consistent with the research results in karst mountain ecosystems ( Liu et al, 2022a ; Liu et al, 2022b ) and other ecosystems ( Guo et al, 2022 ; Hou et al, 2019 ). Previous studies have shown that there is an obvious covariant relationship between soil carbon and nitrogen ( Tashi et al, 2016 ; Yin, Wang & Zhou, 2022 ).…”

Section: Discussionsupporting

confidence: 93%

“…The karst mountains in Southwest China have large topographical differences, habitat fragmentation, high spatial heterogeneity, and a fragile eco-environmental system ( He et al, 2022 ; Yuan, 2006 ; Liu et al, 2022a ; Liu et al, 2022b ; Zhang et al, 2012 ), and in addition, the soil in karst areas are low in quantity with, low rate of parent rock soil formation, high content of calcium and magnesium, high exposure rate of bedrock, and high risk of underground leakage ( Smith et al, 2013 ; Bai et al, 2020 ). Improvement and rational utilization of karst soils are important for soil sustainability and productivity, and hance, vegetation restoration has become an important measure to prevent stone desertification and promote ecological sustainability in karst mountains ( Zhong et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

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Changes in soil carbon, nitrogen, and phosphorus in Pinus massoniana forest along altitudinal gradients of subtropical karst mountains

Nie

Zhang

2023

PeerJ

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Changes in altitude have a long-term and profound impact on mountain forest ecosystems. However, there have been few reports on changes in soil carbon, nitrogen, and phosphorus contents (SCNPC) along altitudinal gradients in subtropical karst mountain forests, as well as on the factors influencing such changes. We selected five Pinus massoniana forests with an altitudinal gradient in the karst mountain area of Southwest China as research objects and analyzed the changes in SCNPC along the altitudinal gradient, as well as the influencing factors behind these changes. Soil organic carbon, total nitrogen, and available nitrogen contents first increased and then decreased with increasing altitude, whereas the contents of total phosphorus and available phosphorus showed no obvious trend. In the karst mountain P. massoniana forest, SCNPC in the topsoil is most significantly affected by total glomalin-related soil protein (TG) and soil moisture content (SMC) (cumulative explanatory rate was 45.28–77.33%), indicating that TG and SMC are important factors that affect SCNPC in the karst mountain P. massoniana forest. In addition, the main environmental factors that affect SCNPC in the subsoil showed significant differences. These results may provide a better scientific reference for the sustainable management of the subtropical mountain P. massoniana forest.

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Changes in soil carbon, nitrogen, and phosphorus in Pinus massoniana forest along altitudinal gradients of subtropical karst mountains

Nie

Zhang

2023

PeerJ

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“…According to previous studies, changes in landscape patterns affect various ecological processes and functions, ultimately leading to changes in ecosystem services [58]. Based on existing studies and combined with the actual situation of the study area [8,9,58,59], seven landscape pattern metrics were selected for analysis, i.e., the proportion of cropland (cropland%), proportion of forest (forest%), proportion of construction land (construction land%), patch density (PD), cohesion (COHE), landscape shape index (LSI), and Shannon's diversity index (SHDI), respectively. Among them, cropland%, forest%, and construction land% were landscape composition indicators, which represented the dominant type of regional land use.…”

Section: Selection and Calculation Of Landscape Pattern Metricsmentioning

confidence: 99%

“…Moreover, landscape patterns have been greatly transformed and fragmented by LULC changes and human activities [8]. Previous studies have shown that landscape pattern can affect ESs and TOSs, and a higher fragmentation or lower connectivity could lead to fragile ecosystems and could impair the formation of ESs [9,10]. It is urgent and critical for decision-makers to have a deep understanding of how landscape patterns affect the TOSs of ESs in order to achieve a win-win outcome through management strategies.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Zhang et al (2022) evaluated the TOSs of forest ecosystem services by using spatial overlay analysis, which helps to weigh management decisions corresponding to specific spatial locations, so as to implement forest resource management more effectively [29]. Wang et al (2022) demonstrated that TOSs showed obvious spatial differentiation, which depended on the impact of urban development and terrain conditions [40]. Therefore, the spatial overlay method could analyze the relationship of multiple ESs and more effectively demonstrate the spatial differentiation of TOSs, which could provide the basis for decisionmakers to weigh the pros and cons of ES management.…”

Section: Introductionmentioning

confidence: 99%

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Multiscale Analysis of the Effects of Landscape Pattern on the Trade-Offs and Synergies of Ecosystem Services in Southern Zhejiang Province, China

Ding

Yan

Zhu

et al. 2023

Land

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Identifying the trade-offs and synergies (TOSs) of ecosystem services (ESs) and their responses to landscape patterns at various scales, especially in mountainous areas, could benefit the strategies of ES management and landscape optimization. In this study, the southern Zhejiang Province, a hilly region in eastern China, was chosen as the study area. Five ESs, including food production (FP), carbon sequestration (CS), flood mitigation (FM), water conservation (WC), and soil retention (SR) in 2020 were quantified. The TOSs of these ESs were identified at four spatial scales (i.e., grid, watershed, town, and county scales) through Pearson correlation analysis and the spatial overlay method. The effects of landscape patterns on the TOSs of ESs were analyzed by applying a logistic regression model. Results showed that FP and other ESs were trade-offs, while the other ES pairs were synergies. Spatial overlay results showed that weak synergies increased significantly, while strong synergies decreased significantly with the increase of the scale. The direction of the influence of landscape pattern on TOSs did not change, but the magnitudes of the impacts were scale-dependent. Landscape composition (i.e., cropland%, forest%, construction land%) had more significant effects on the trade-offs of ESs than spatial configuration (i.e., LSI, PD, COHE, and SHDI). The magnitudes of impact of landscape composition were strengthened at larger scales, while the effects of landscape configuration on the TOSs of ESs became complex as the scale changed. The results of this study could contribute to understanding how landscape patterns affect TOSs across scales, which will promote the hierarchical governance of ESs in mountainous areas.

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Developing a composite index for urban ecosystem services (Hyrcanian forests—Gorgan)

Zoghi,

Amiri

2023

Integr Envir Assess & Manag

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The current era has been termed the “Anthropocene,” because of the irreversible impact of human activities. Land use change and urban growth are examples of these disturbances leading to the reduction in many ecosystem services (ESs). The subject of this study, Gorgan, has undergone significant changes that significantly affected the area. Studying these changes and understanding their effects on the ecosystem is essential. An integrated method was used to investigate the process of changing the urban ESs over 35 years, considering the physical and ecological characteristics of the area. This marks the first time such a study has been conducted using the hexagonal unit. Then, the composite total ecosystem services (TESs) index was calculated from the modeled and quantified combination of six ESs, including water yield, flood volume, net primary production, soil retention, carbon sequestration, and air pollution removal. Thereafter, the ESs were mapped and evaluated across time and space. The TES is proposed as an appropriate measure for quantifying ES supply and can indicate the overall function of ESs. According to the findings, the TES value declined from 0.427 in 1985 to 0.247 in 2005 and declined to 0.192 in 2020. Moreover, the Hyrcanian forests were the main source of the highest TES in Gorgan city, whereas urban areas had the lowest levels. The shortage of ESs in the study area has resulted in various crises. These include reduced air quality, heightened flood risk, soil erosion, and ecological imbalances in urban regions. Integr Environ Assess Manag 2023;00:1–16. © 2023 Society of Environmental Toxicology & Chemistry (SETAC).

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Effects of landscape pattern change on ecosystem services and its interactions in karst cities: A case study of Guiyang City in China

Cited by 29 publications

References 65 publications

Changes in soil carbon, nitrogen, and phosphorus in Pinus massoniana forest along altitudinal gradients of subtropical karst mountains

Changes in soil carbon, nitrogen, and phosphorus in Pinus massoniana forest along altitudinal gradients of subtropical karst mountains

Multiscale Analysis of the Effects of Landscape Pattern on the Trade-Offs and Synergies of Ecosystem Services in Southern Zhejiang Province, China

Developing a composite index for urban ecosystem services (Hyrcanian forests—Gorgan)

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