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Despite the increasing awareness regarding the importance of ecologically fragile areas in maintaining human well-being, there is a lack of understanding of the comprehensive quantification of the basin-scale ecosystem services. In this study, based on risk zoning, the regional difference coefficient (RDC) was introduced into an existing method proposed by Costanza to value the ecosystem services. The modified method was then applied to value the ecosystem services of a debris flow alluvial fan in Awang basin, Yunnan, China from 2012 to 2018. The results indicated that in the debris flow area, the ecosystem service of water area is of great value; however, because of the limited area, the transformation between the adjacent land types can be easily triggered owing to human or natural influence. During this period, the ecosystem service demonstrated a downward trend, which could attribute to a decrease in the water area with a larger ecosystem service and an increase in the area of the construction land that led to the considerable depletion of the ecosystem service. The proposed modified method to value ecosystem services can be a valuable means to reflect the present situation of a basin-scale ecosystem and the effect of ecological restoration.
Songtang He; Daojie Wang; Peng Zhao; Yong Li; Huijuan Lan; Wenle Chen; Xiaoqing Chen. Quantification of basin-scale multiple ecosystem services in ecologically fragile areas. CATENA 2021, 202, 105247 .
AMA StyleSongtang He, Daojie Wang, Peng Zhao, Yong Li, Huijuan Lan, Wenle Chen, Xiaoqing Chen. Quantification of basin-scale multiple ecosystem services in ecologically fragile areas. CATENA. 2021; 202 ():105247.
Chicago/Turabian StyleSongtang He; Daojie Wang; Peng Zhao; Yong Li; Huijuan Lan; Wenle Chen; Xiaoqing Chen. 2021. "Quantification of basin-scale multiple ecosystem services in ecologically fragile areas." CATENA 202, no. : 105247.
Net primary productivity (NPP) is one of the essential indicators of regional eco-environment security. In ecologically fragile areas, debris flow prone areas are extremely sensitive to human and natural impacts. In this study, our goal was to explore the main driving forces and their characteristics that caused changes in NPP. This was achieved by collecting and analyzing multi-source data of a typical region in SW China. A pixel-based spatial analysis method was conducted in this study to quantify the co-evolution characteristics between NPP and the main driving forces. Our results showed that the overall NPP in the region exhibits an increasing trend. The main driving forces are NDVI and population density, which can explain >70% of the environmental states. In addition, co-evolution characteristics were obvious; generally, NDVI had a positive effect and population density had a negative effect. However, extremely significant negative correlations between NPP and NDVI were found in 12.01% of the study area. Therefore, carrying out reasonable ecological restoration and applicable human activities in debris flow prone areas could ensure eco-environment security and sustainable development. This study contributes to improving our understanding of eco-environment evolution of critical zones and provides a scientific basis for regional eco-environment security construction and eco-treatment of debris flow.
Peng Zhao; Daojie Wang; Songtang He; Huijuan Lan; Wenle Chen; Yuchao Qi. Driving forces of NPP change in debris flow prone area: A case study of a typical region in SW China. Ecological Indicators 2020, 119, 106811 .
AMA StylePeng Zhao, Daojie Wang, Songtang He, Huijuan Lan, Wenle Chen, Yuchao Qi. Driving forces of NPP change in debris flow prone area: A case study of a typical region in SW China. Ecological Indicators. 2020; 119 ():106811.
Chicago/Turabian StylePeng Zhao; Daojie Wang; Songtang He; Huijuan Lan; Wenle Chen; Yuchao Qi. 2020. "Driving forces of NPP change in debris flow prone area: A case study of a typical region in SW China." Ecological Indicators 119, no. : 106811.
Ecological engineering is an effective method to control mountain disasters, in which tree roots play an important role in stabilizing the slope and consolidating the soil in face of the landslide. The use of artificial roots to simulate real root is an important means of experimental research. To explore which tree planting patterns could achieve better stability on slopes of 20°, 35°, 50°, and 60° under extreme climatic conditions (rainfall intensity of 118 mm/h), this paper used an artificial root model to construct four types of slopes, i.e., slope with dense trees planted on wide bands, slope with dense trees planted on narrow bands, slope with equally and sparsely planted trees, and barren slope (control group). Sixteen groups of indoor slope rainfall experiments were carried out. To determine the stability effects of different slopes, the failure process and model of slopes during rainfall were analyzed, and the safety factor values Fs were calculated. The following conclusions are drawn: (1) Trees have different effects on the stability of slopes with different slope gradients. Planting trees on 20° and 35° slopes has good reinforcement effect, but planting trees on 50° or 60° slopes will lead to less stability. (2) The optimal planting patterns are different for different slopes. For example, the optimal planting pattern on the 20° and 35° slopes is wide-band dense planting, while it is not suitable to plant tall trees on the 50° and 60° slopes. (3) The change of slope gradient will not affect the failure mode of barren slopes but will change the failure process for vegetated slopes. (4) Wide-band dense planting pattern on all slopes can effectively intercept sediment, inhibit sediment slide, and prevent collapse. All in all, the research results provide a good theoretical guidance and practice to control landslides with ecological engineering.
Huijuan Lan; Daojie Wang; Songtang He; Yingchao Fang; Wenle Chen; Peng Zhao; Yuchao Qi. Experimental study on the effects of tree planting on slope stability. Landslides 2020, 17, 1021 -1035.
AMA StyleHuijuan Lan, Daojie Wang, Songtang He, Yingchao Fang, Wenle Chen, Peng Zhao, Yuchao Qi. Experimental study on the effects of tree planting on slope stability. Landslides. 2020; 17 (4):1021-1035.
Chicago/Turabian StyleHuijuan Lan; Daojie Wang; Songtang He; Yingchao Fang; Wenle Chen; Peng Zhao; Yuchao Qi. 2020. "Experimental study on the effects of tree planting on slope stability." Landslides 17, no. 4: 1021-1035.
Land use change is extremely sensitive to natural factors and human influence in active debris flow. It is therefore necessary to determine the factors that influence land use change. This paper took Wudu District, Gansu Province, China as a study area, and a systemic analysis of the transformational extent and rate of debris flow waste-shoal land (DFWSL) was carried out from 2005 to 2015. The results show that from 2005 to 2015, cultivated land resources transformed to other types of land; cultivated lands mainly transformed to grassland from 2005 to 2010 and construction land from 2010 to 2015. Moreover, the growth rate of construction land from 2005 to 2010 was only 0.11%, but increased to 6.87% between 2010 and 2015. The latter is more than 60 times the former. This increase was brought about by natural disasters (debris flow, earthquakes, and landslides) and anthropogenic factors (national policies or strategies), which acted as driving forces in debris flow area. The former determines the initial use type of the DFWSL while the latter only affects the direction of land use and transformation.
Songtang He; Daojie Wang; Yong Li; Peng Zhao. Land Use Changes and Their Driving Forces in a Debris Flow Active Area of Gansu Province, China. Sustainability 2018, 10, 2759 .
AMA StyleSongtang He, Daojie Wang, Yong Li, Peng Zhao. Land Use Changes and Their Driving Forces in a Debris Flow Active Area of Gansu Province, China. Sustainability. 2018; 10 (8):2759.
Chicago/Turabian StyleSongtang He; Daojie Wang; Yong Li; Peng Zhao. 2018. "Land Use Changes and Their Driving Forces in a Debris Flow Active Area of Gansu Province, China." Sustainability 10, no. 8: 2759.