Multiscale spatiotemporal characteristics of landscape patterns, hotspots, and influencing factors for soil erosion

Guo, Lihui; Liu, Ruimin; Men, Cong; Wang, Qingrui; Miao, Yuexi; Shoaib, Muhammad; Wang, Yifan; Jiao, Lijun; Zhang, Yan

doi:10.1016/j.scitotenv.2021.146474

Cited by 79 publications

(29 citation statements)

References 55 publications

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“…Future research could investigate a more local scale of analysis using smaller pixel sizes and finer-scale aggregation patterns, such as those gained from using satellite-based wildfire detections (for example, MODIS/VIIRS) that can increase the number of observations per cell (Levin and Heimowitz 2012;Olivia and Schroeder 2015). The drastic changes in hot spot location under the various neighborhood distances also reflects the need identified in the scientific literature for multiscale hot spot analyses to support decision making at multiple scales across a wide range of societal issues (Liu et al 2017;Guo et al 2021;Lv et al 2021). In such cases, local clusters could be useful for local planners and decision makers, while coarser scale clusters can be used for state-scale decision making.…”

Section: Discussionmentioning

confidence: 99%

Optimized Hot Spot and Directional Distribution Analyses Characterize the Spatiotemporal Variation of Large Wildfires in Washington, USA, 1970−2020

Zerbe¹,

Polit²,

McClain³

et al. 2022

Int J Disaster Risk Sci

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Spatiotemporal analysis of fire activity is vital for determining why wildfires occur where they do, assessing wildfire risks, and developing locally relevant wildfire risk reduction strategies. Using various spatial statistical methods, we determined hot spots of large wildfires (> 100 acres) in Washington, the United States, and mapped spatiotemporal variations in large wildfire activity from 1970 to 2020. Our results found that all hot spots are located east of the crest of the Cascade Range. Our spatiotemporal analysis found that the geographic area wherein most of the state’s acres burned has shrunk considerably since 1970 and has become concentrated over the north-central portion of the state over time. This concentration of large wildfire activity in north-central Washington was previously unquantified and may provide important information for hazard mitigation efforts in that area. Our results highlight the advantages of using spatial statistical methods that could aid the development of natural hazard mitigation plans and risk reduction strategies by characterizing previous hazard occurrences spatially and spatiotemporally.

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Section: Discussionmentioning

confidence: 99%

Optimized Hot Spot and Directional Distribution Analyses Characterize the Spatiotemporal Variation of Large Wildfires in Washington, USA, 1970−2020

Zerbe¹,

Polit²,

McClain³

et al. 2022

Int J Disaster Risk Sci

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“…If Z(G i ) is positive and significant, more cultivated land is distributed in the geomorphic area around the surface geomorphic area i, then the geomorphic area i belongs to the hot spot area. If Z(G i ) is negative and significant, the increase of cultivated land around the geomorphic area i is low, belonging to the cold spot area [25].…”

Section: Getis-ord Gi*mentioning

confidence: 99%

Temporal and Spatial Differentiation of Cultivated Land and Its Response to Climatic Factors in Complex Geomorphic Areas—A Case Study of Sichuan Province of China

Xiang

Xiao-yu

et al. 2022

Land

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Analyzing the distribution characteristics and influencing factors of cultivated land in complex geomorphic areas is significant in evaluating the agricultural farming environment and formulating cultivated land protection measures. This study extracted cultivated land information based on multi-source remote sensing data, and analyzed the geomorphic differentiation of cultivated land distribution and climate response from 2000 to 2020 using the Gini coefficient, spatial autocorrelation analysis and geographic detector. The results show that cultivated land is mainly distributed in low-altitude hills and low-altitude small undulating mountains, and secondarily in low-altitude alluvial and proluvial plains and platforms. Moreover, from 2000 to 2020, the cultivated land in the high-altitude and high-altitude undulating mountains and medium and high-altitude undulating mountains in the Northwest Plateau of Sichuan showed an upward trend, while the cultivated land in the Sichuan Basin mainly increased from the north and south to the middle of the basin. In addition, the highest temperature has the strongest ability to explain the spatial heterogeneity of cultivated land. From the calculation results of the influence coefficient of a single climatic factor and the combined effect of multiple climatic factors, the main factors that affect the distribution of cultivated land are different in different geomorphological regions. Finally, it is proposed to formulate a long-term strategy for agricultural production to adapt to climate change in complex geomorphic areas in order to reduce the negative impact of environmental change on agricultural production.

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“…In addition, the correlation between landscape patterns and soil erosion at different scales was not examined; for example, the relationship between landscape patterns and soil erosion at the municipal or village level was not investigated. The soil erosion process is a multiscale nonlinear and complex process [75]. In the future, researchers could focus on not only improving evaluation accuracy by modifying the evaluation method of landscape indices and by enhancing the resolution of data but also exploring the scale effects of landscapes on soil erosion.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Exploring the Effects of Land Use Changes on the Landscape Pattern and Soil Erosion of Western Hubei Province from 2000 to 2020

Jiyun

Yong

et al. 2022

IJERPH

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Accelerated land use and land cover changes affect regional landscape patterns and change the ecological environment, including soil conservation capabilities. This is not conducive to the sustainable development of human society. In this research, we explored the land use change pattern and landscape change pattern in western Hubei from 2000 to 2020. Using the Chinese soil loss equation and stepwise regression, we measure how landscape patterns affect soil erosion under land use and cover changes in western Hubei Province. The results show that average soil erosion in the mountainous areas of western Hubei tended to increase from 2000 to 2010 and decrease from 2010 to 2020; soil erosion was higher in the western than in the eastern part of the study area. The land in areas with high-intensity and low-intensity soil erosion was mainly waterfront/grassland and cropland/forestland, respectively, and the area of moderate to severe soil erosion was greatest when the slope was 10–20°. When the slope exceeded 20°, the soil erosion area of each grade tended to decrease; thus, 20° is the critical slope for soil erosion in the study area. The landscape pattern in mountainous areas changed dramatically from 2000 to 2020. At the landscape level, landscape fragmentation increased and connectivity decreased, but the area of landscape diversity was stable. Soil erosion in western Hubei was positively correlated with the contiguity index, aggregation index and largest patch index but negatively correlated with the Shannon evenness index. The higher the landscape fragmentation and the greater the accumulation of single land-use types, the more severe the soil erosion is, while the higher the landscape connectivity and the richer the landscape diversity, the less severe the soil erosion is. The results can inform regional landscape management and soil conservation research.

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Multiscale spatiotemporal characteristics of landscape patterns, hotspots, and influencing factors for soil erosion

Cited by 79 publications

References 55 publications

Optimized Hot Spot and Directional Distribution Analyses Characterize the Spatiotemporal Variation of Large Wildfires in Washington, USA, 1970−2020

Optimized Hot Spot and Directional Distribution Analyses Characterize the Spatiotemporal Variation of Large Wildfires in Washington, USA, 1970−2020

Temporal and Spatial Differentiation of Cultivated Land and Its Response to Climatic Factors in Complex Geomorphic Areas—A Case Study of Sichuan Province of China

Exploring the Effects of Land Use Changes on the Landscape Pattern and Soil Erosion of Western Hubei Province from 2000 to 2020

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