Ecological Risk Assessment of Guangxi Xijiang River Basin based on Landscape Pattern
Y. Yan, S. N. Shi, B. Q. Hu, K.S. Yang
Ekoloji, 2018, Issue 105, Pages: 5-16, Article No: e105002
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Abstract
As the emerging national strategy, the Xijiang river basin is facing stress from the accelerated and intensified exploitation, and resulted in environment deterioration and ecological risks. So, it is urgent to conduct the risk assessment of the river basin to balance the economic development and environmental protection. The ecological risk assessment was carried out at landscape level by applying the ecological risk model developed from landscape indices and land use data (1990s, 2000s, and 2010s). The ecological risk model was proposed based on landscape hemeroby index and landscape vulnerability index. Then, the exponential model was used to perform the kriging interpolation. The results indicated that: 1) The ecological risk of the study area presented deteriorative trend since the LERI value was stable from 1990s to 2000s, yet increased markedly in 2010s. 2) The dominate factor for the spatial variation of the ecological risk in the study area was non-structural stochastic factors in small scale rather than the structural factors in large scale. The high and very high risk level was mainly distributed in the northern, northwestern and eastern part of the basin and the very low and low risk level spread in the center of the study area. 3) The ecological risk presented deteriorated tendency from 1990s to 2010s, with the very high risk level reached up to 32.55% and the high risk level 25.37% in 2010s. The very high ecological risk for the six land use types all increased in the course of the study period and the area proportion for very low and low level ecological risk all declined without exception.
Keywords
spatial analysis, landscape metrics, risk transformation, spatial and temporal change
References
- Beer T (2006) Ecological risk assessment and quantitative consequence analysis. Human and Ecological Risk Assessment, 12(1): 51-65.
- Dang LJ, Xu Y, Tang Q (2015) The pattern of available construction land along the Xijiang River in Guangxi, China. Land Use Policy, 42: 102-112.
- De Lange HJ, Sala S, Vighi M, Faber JH (2010) Ecological vulnerability in risk assessment - A review and perspectives. Science of the Total Environment, 408(18): 3871-3879.
- De Rosa M, Odgaard MV, Staunstrup JK (2017) Identifying Land Use and Land-Use Changes (LULUC): A Global LULUC Matrix. Environmental Science & Technology, 51(14): 7954-7962.
- Fan JH, Wang Y, Zhou Z, You NS, Meng JJ (2016) Dynamic Ecological Risk Assessment and Management of Land Use in the Middle Reaches of the Heihe River Based on Landscape Patterns and Spatial Statistics. Sustainability, 8(6): 536.
- Forbes VE, Galic N (2016) Next-generation ecological risk assessment: Predicting risk from molecular initiation to ecosystem service delivery. Environment International, 91: 215-219.
- Fu WJ, Jiang PK, Zhou GM, Zhao KL (2017) Using Moran’s I and GIS to study the spatial pattern of forest litter carbon density in a subtropical region of southeastern China. Biogeosciences, 11(8): 2401-2409.
- Hou DY, O’Connor D, Nathanail P, Tian L, Ma Y (2017) Integrated GIS and multivariate statistical analysis for regional scale assessment of heavy metal soil contamination: A critical review. Environmental Pollution, 231: 1188-1200.
- Hua LZ, Shao GF, Zhao JZ (2017) A concise review of ecological risk assessment for urban ecosystem application associated with rapid urbanization processes. International Journal of Sustainable Development and World Ecology, 24(3): 248-261.
- Hunsaker CT, Graham R, Suter G, O’Neill BL, Jackson BL, Barnthouse L (1989) Regional ecological risk assessment: Theory and demonstration. Oak Ridge National Lab: Oak Ridge, TN, USA.
- Jones RN (2001) An Environmental Risk Assessment / Management Framework for Climate Change Impact Assessments. – Natural Hazards, 23(2): 197-230.
- Kapustka LA (2005) Assessing ecological risks at the landscape scale: Opportunities and technical limitations. Ecology and Society, 10(2): 11.
- La Rosa D, Martinico F (2013) Assessment of hazards and risks for landscape protection planning in Sicily. Journal of Environmental Management, 127: 155-167.
- Landis WG (2003) Twenty years before and hence: Ecological risk assessment at multiple scales with multiple stressors and multiple endpoints. Human and Ecological Risk Assessment, 9(5): 1317-1326.
- Landis WG, Wiegers JK (2007) Ten years of the relative risk model and regional scale ecological risk assessment. Human and Ecological Risk Assessment, 13(1): 25-38.
- Lin QX, Wu ZY, Singh VP, et al. (2017) Correlation between hydrological drought, climatic factors, reservoir operation, and vegetation cover in the Xijiang Basin, South China. – Journal of Hydrology, 549: 512-524.
- Liu J, Kuang W, Zhang Z, Xu X, et al. (2014) Spatiaotemporal characteristics, patterns and causes of land-use changes in China since the late 1980s. Journal of Geographical Sciences, 24(2):195-210.
- Liu JY, Liu ML, Zhuang DF, et al. (2003a) Study on spatial pattern of land-use change in China during 1995–2000. Science in China Series D: Earth Sciences, 46(4): 373-384.
- Liu JY, Zhang ZX, Xu XL, et al. (2010) Spatial patterns and driving forces of land use change in China during the early 21st century. Journal of Geographical Sciences, 20(4): 483-494.
- Liu JY, Zhang ZX, Zhuang DF, et al. (2003b) A study on the spatial-temporal dynamic changes of land-use and driving forces analyses of China in the 1990s. Geographical Research, 22(1): 1-12. (in Chinese)
- Liu SL, Cui BS, Dong SK, Yang ZF, Yang M, Holt K (2008) Evaluating the influence of road networks on landscape and regional ecological risk-A case study in Lancang River Valley of Southwest China. Ecological Engineering, 34(2): 91-99.
- Llausas A, Nogue J (2012) Indicators of landscape fragmentation: The case for combining ecological indices and the perceptive approach. Ecological Indicators, 15(1): 85-91.
- Lohbeck M, Bongers F, Martinez-Ramos M, Poorter L (2016) The importance of biodiversity and dominance for multiple ecosystem functions in a human-modified tropical landscape. Ecology, 97(10): 2772-2779.
- Mayer AL, Buma B, Davis A (2016) How Landscape Ecology Informs Global Land-Change Science and Policy. Bioscience, 66(6): 458-469.
- Miao YF, Jin HL, Cui JX (2016) Human activity accelerating the rapid desertification of the Mu Us Sandy Lands, North China. Scientific Reports, 6: 23003.
- Mo WB, Wang Y, Zhang YX, Zhuang DF (2017) Impacts of road network expansion on landscape ecological risk in a megacity, China: A case study of Beijing. Science of the Total Environment, 574: 1000-1011.
- Molinos JG, Takao S, Kumagai NH (2017) Improving the interpretability of climate landscape metrics: An ecological risk analysis of Japan’s Marine Protected Areas. Global Change Biology, 23(10): 4440-4450.
- Reza SK, Nayak DC, Chattopadhyay T, Mukhopadhyay S, Singh SK, Srinivasan R (2016) Spatial distribution of soil physical properties of alluvial soils: a geostatistical approach. Archives of Agronomy and Soil Science, 62(7): 972-981.
- Salvati L, Tombolini I, Perini L, Ferrara A (2013) Landscape changes and environmental quality: the evolution of land vulnerability and potential resilience to degradation in Italy. Regional Environmental Change, 13(6): 1223-1233.
- Shi H, Yang ZP, Han F, Shi TG, Li D (2015) Assessing Landscape Ecological Risk for a World Natural Heritage Site: a Case Study of Bayanbulak in China. Polish Journal of Environmental Studies, 24(1): 269-283.
- Shinneman DJ, Palik BJ, Cornett MW (2012) Can landscape-level ecological restoration influence fire risk? A spatially-explicit assessment of a northern temperate-southern boreal forest landscape. Forest Ecology and Management, 274: 126-135.
- Song GB, Li Z, Yang YG, Semakula HM, Zhang SS (2015) Assessment of ecological vulnerability and decision-making application for prioritizing roadside ecological restoration: A method combining geographic information system, Delphi survey and Monte Carlo simulation. Ecological Indicators, 52: 57-65.
- Tong XW, Wang KL, Brandt M, Yue YM, Liao CJ, Fensholt R (2016) Assessing Future Vegetation Trends and Restoration Prospects in the Karst Regions of Southwest China. Remote Sensing, 8(5): 357.
- Venkatachalam AJ, Kaler J, Price ARG (2012) Modelling ecological and other risk factors influencing the outcome of the 2004 tsunami in Sri Lanka. Ecosphere, 3(2): 1-14.
- Voss KA, King RS, Bernhardt ES (2015) From a line in the sand to a landscape of decisions: a hierarchical diversity decision framework for estimating and communicating biodiversity loss along anthropogenic gradients. Methods in Ecology and Evolution, 6(7): 795-805.
- Walz U, Stein C (2014) Indicators of hemeroby for the monitoring of landscapes in Germany. Journal for Nature Conservation, 22(3): 279-289.
- Wu ZY, Lin QX, Lu GH, He H, Qu JJ (2015) Analysis of hydrological drought frequency for the Xijiang River Basin in South China using observed streamflow data. Natural Hazards, 77(3): 1655-1677.
- Xie HL, Wang P, Huang HS (2013) Ecological Risk Assessment of Land Use Change in the Poyang Lake Eco-economic Zone, China. International Journal of Environmental Research and Public Health, 10(1): 328-346.
- Yan Y, Yan L, Baoqing H (2017) Spatial and Temporal Distribution of Precipitation in Guangxi Xijiang River Basin Based on TRMM Data. Agro Food Ind. Hi-Tech, 28(3): 37-40.
- Yang QQ, Wang KL, Zhang CH, Yue YM, Tian RC, Fan FD (2011) Spatio-temporal evolution of rocky desertification and its driving forces in karst areas of Northwestern Guangxi, China. Environmental Earth Sciences, 64(2): 383-393.
- Zhang CH, Qi XK, Wang KL, Zhang MY, Yue YM (2017) The application of geospatial techniques in monitoring karst vegetation recovery in southwest China: A review. Progress in Physical Geography, 41(4): 450-477.
- Zhang MY, Wang KL, Liu HY, Wang J, Zhang CH, Yue YM, Qi XK (2016) Spatio-Temporal Variation and Impact Factors for Vegetation Carbon Sequestration and Oxygen Production Based on Rocky Desertification Control in the Karst Region of Southwest China. Remote Sensing, 8(2):102.
- Zhang N, Zhang HY (2011) Scale variance analysis coupled with Moran’s I scalogram to identify hierarchy and characteristic scale. International Journal of Geographical Information Science, 25(9): 1525-1543.