Evaluation and Quantitative Attribution Analysis of Water Yield Services in the Peak-cluster Depression Basins in Southwest of Guangxi,China

Karst environmental issues have become one of the hot spots in contemporary international geological research. The same problem of water shortage is one of the hot spots of global concern. The peak-cluster depression basins in southwest of Guangxi is an important water connotation and ecological barrier areas in the Pearl River Basin of China. Thus, studying the spatial and temporal variations and the influencing factors of its water yield services is critical to achieve the sustainable development of water resources and ecological environmental protection in this region. As such, this paper uses the Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST) model to assess the spatial and temporal variabilities of water yield services and its trends in the peak-cluster depression basins in southwest of Guangxi from 2000 to 2020. This work also integrates precipitation(Pre), reference evapotranspiration(ET), temperature(Tem), digital elevation model(DEM), slope, normalized difference vegetation index(NDVI), land use/land cover(LULC) and soil type to reveal the main factors that influence water yield services with the help of Geodetector. Results show that: 1) in time scale,the total annual water yield in the study area show a fluctuating and increasing trend from 2000 to 2020, with a growth rate of 7.3753 × 10^(8)m^(3)/yr, and its multi-year average water yield was 538.07 mm;2) in spatial pattern, with high yield areas mainly distributed in the south of the study area(mainly including Shangsi County, Pingxiang City, Ningming County, Longzhou County and Jingxi County), and low yield areas mainly distributed in Baise City and Nanning City;3) the dominant factor of water yield within karst and non-karst landforms is not necessarily controlled by precipitation, and the explanation degree of DEM factors in karst areas is significantly higher than that in non-karst areas;4) amongst the climatic factors, Pre, ET and Tem are dominant in the spatial pattern of region water yield capacity. among which Pre has the highest explanatory power for the spatial heterogeneity of annual water production, with q values above0.8, and each driver showed a significant interaction on the spatial distribution of water yield, with Pre exhibiting the strongest interaction with LULC.

Study on Dryland Weed Species under Different Land Use Patterns in Southwest of Guangxi Province——A Case Study of Longzhou County

With Longzhou County as example, the weed species, distributions, domi- nant populations and diversity indexes in corn, sugarcane, pineapple, banana and mango fields under different land use patterns in southwest Guangxi were investi- gated. The results showed that there were 27 families 54 species of weeds in sampling area. Eleven species were Gramineae and ten species were Compositae. There were eight families 13 species in corn fields, ten families 20 species in sug- arcane fields, 12 families 18 species in pineapple fields, ten families 11 species in banana fields and nine families 14 species in mango fields. Bidens bipinnata, Eupa- torium odoratum and Emilia sonchifolia of Compositae were generally occurred with serious harm. Roegneria kamoji, Stellaria media and Bothriochloa intermedia of Gramineae were widely occurred. Weed community made up of Compositae ＋ Gramineae ＋ Oxalidaceae was the main form of dryland weed. The Pielou uniformi- ty of the five use patterns in the studying area were 0.967, 0.964, 0,947, 0.969 and 0.962, respectively, which were high.