The pairwise interaction of environmental factors for ecosystem services relationships in karst ecological priority protection and key restoration areas

Zuo, Liyuan; Gao, Jiangbo; Du, Fujun

doi:10.1016/j.ecolind.2021.108125

Cited by 33 publications

(9 citation statements)

References 58 publications

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“…where A is the average rate of soil loss (t·hm −2 ·a −1 ); R is the rainfall erosivity factor (MJ·mm·hm −2 ·h −1 ·yr −1 ), reflecting the erosive capacity of rainfall. During the calculation of the R factor, a rainfall erosivity standard of 30 mm is set for karst regions, while non-karst regions adopt a standard of 12 mm (Zuo et al, 2021); K signifies the soil erodibility factor (t·hm 2 ·h·hm −2 ·MJ −1 ·mm −1 ) (Zuo and Gao, 2021); LS denotes the slope length and steepness factor, also known as the topographic factor (Liu et al, 1994); C is the vegetation cover using the NDVI data from the UAV (Cai et al, 2000); and P represents the conservation support practice influenced by land use. In this study, we assigned values to the P based on the research conducted by Gao and Wang (2019).…”

Section: Methodsmentioning

confidence: 99%

Soil erosion effects and mechanisms in the karst peak-cluster depression area from a multi-scale landscape perspective

Du,

Zhang,

Gao

et al. 2023

Transactions in Earth, Environment, and Sustainability

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The karst regions in southwest China are integral to maintaining regional ecological security. However, escalating human activities in these areas have intensified soil erosion and landscape fragmentation. Clarifying the role of landscape patterns in karst regions as drivers of soil erosion processes is essential for providing crucial support in mitigating regional soil erosion. By utilizing unmanned aerial vehicle detection, this study examined the soil erosion characteristics, driving factors, and interaction effects in peak-cluster depression landscapes. The investigation was conducted at multiple scales, including peak-cluster depression, grid, and patch levels, under the combined ecology–agriculture, ecology–economy and near–nature landscape utilization types. Furthermore, an optimal landscape pattern for alleviating soil erosion was identified. The research findings indicate that the proportions of mild and moderate erosion were higher in the ecology-agriculture landscape utilization type compared to the other two landscapes. In the ecology-economy type, slight soil erosion predominated. Increasing vegetation cover led to a decrease in soil erosion risk in the near-nature landscape utilization type. The interaction effects among factors contributed to an enhanced explanatory power for soil erosion. Particularly, the synergistic effect between vegetation coverage and land use exhibited the most significant influence on soil erosion. The mosaic distribution pattern of soil erosion sources and sinks, as well as the distribution pattern of fragmented source and aggregated sink distribution pattern, effectively mitigated soil loss, leading to reduced soil erosion rates.

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Section: Methodsmentioning

confidence: 99%

Soil erosion effects and mechanisms in the karst peak-cluster depression area from a multi-scale landscape perspective

Du,

Zhang,

Gao

et al. 2023

Transactions in Earth, Environment, and Sustainability

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“…However, land cover changes that have resulted in enhanced soil conservation and carbon sequestration in the Loess Plateau led to reduced regional water yield (Lu et al, 2012), and a similar outcome was reported by Feng et al (2020) in the Ansai watershed. Zuo et al (2021) also highlighted trade-offs between water yield and net primary productivity and water yield and habitat quality in the Wujiang Basin. Wen and Theau (2020a) estimated that ecological restoration aimed at soil conservation, together with predicted climate changes, will likely place substantial additional pressure on water resources by 2050 in northern Shaanxi Province.…”

Section: China’s Research Progressmentioning

confidence: 97%

The response of geographical processes to landscape restoration: China’s research progress

Liu

Han

et al. 2023

Progress in Physical Geography: Earth and Environment

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The UN Decade of Ecosystem Restoration (2021–2030) provides a new momentum for scaling up ecosystem restoration efforts to landscape restoration. China’s recent experience with transformative investment in landscape restoration provides invaluable guidance for the world. We retrospectively reviewed the scientific evidence on the responses of physical, ecological, and social processes to China’s landscape restoration under geographic heterogeneity and obtained four experiences and lessons. First, China’s forest landscape restoration has successfully promoted vegetation growth and enlarged the carbon sink. Second, landscape restoration has reduced the local water yield, while the regional responses of rainfall are still not clear. Third, the local conditions of soil erosion and habitat quality were largely improved by landscape restoration, while the decreases in soil moisture and streamflow demonstrated significant trade-offs among ecosystem services. Last, geographical differentiation existed in the local responses of livelihoods to landscape restoration strategies, and the win‒win solutions between human development and nature improvement under different landscape contexts were still uncertain. We summarize three additional questions as future prospects: what is the scale of the thresholds to prevent overshoot and cascading negative ecological effects? what are people’s prior needs from nature? considering that there may be no universal win‒win pathways, how to promote co-benefits based on regional human–nature relationships?

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“…It evaluates each attribute relative to its neighbors. For example, a hot zone needs to be of high value and surrounded by other high-value things for it to be statistically significant [24].…”

Section: ∑ ∑ ∑mentioning

confidence: 99%

Analysis of Hotspots and Inverse Distance Weighting (IDW) of Polluted Habitats using ArcGIS Pro.: A Case Study in the Sea of Najaf and Surrounding Terrestrial Area

Jasim,

Walli

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The Sea of Najaf, which is a natural groundwater. 60 samples were studied to locate the amount of 4 heavy metals (Cr, Mn, Co, and Cd) in each sample. With the analysis of three different types of pollution indicators (pollution factor, geographic accumulation index, and enrichment factor), the first heavy metal for which a significant difference can be seen is chromium. The high level of chromium was (101) μg/g, and the low was (50. 9) μg/g. This indicates that the soil was contaminated. Manganese is the second heavy metal with low to moderate contamination. It can be found in soil samples with a maximum concentration of (1022) μg/g and a minimum concentration of (254) μg/g. For cobalt and cadmium levels, the measured amounts do not differ much from the normal limit. This means that the water is not contaminated with them. Contamination indicators are placed in different areas to see what minerals could be in the sediments and where they came from. The results of the study showed that mineral levels were often higher near the edge of the lake than they were further afield. You can find the source of the mineral contamination in the sediments, some of the pollution markers were above the maximum on the beaches but were just below the maximum on the lake. The inverse distance weighted (IDW) in ArcGIS Pro approach is one of the most frequently employed interpolation techniques. It is used to estimate the value of a site that has not yet been assessed by comparing it to the values of nearby sites, the hot spot in ArcGIS Pro This program uses data queries to figure out which parameters for hot spot analysis give the best performance statistics may generate a map with event points or weighted features that show statistically significant hot and cold areas, the results show the distribution of minerals as a map Chromium and manganese are found in nearby farms in high concentrations, A pH test revealed between (7.9) to (10.5), The EC measurement showed between (2.3-4.3) ds/m for water, while the soil ranged between (6.3 – 10.1) ds/m, This indicates that the water and soil are salty. The turbidity ranged between( 13.1 - 8.5) NTU.

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The pairwise interaction of environmental factors for ecosystem services relationships in karst ecological priority protection and key restoration areas

Cited by 33 publications

References 58 publications

Soil erosion effects and mechanisms in the karst peak-cluster depression area from a multi-scale landscape perspective

Soil erosion effects and mechanisms in the karst peak-cluster depression area from a multi-scale landscape perspective

The response of geographical processes to landscape restoration: China’s research progress

Analysis of Hotspots and Inverse Distance Weighting (IDW) of Polluted Habitats using ArcGIS Pro.: A Case Study in the Sea of Najaf and Surrounding Terrestrial Area

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