ABSTRACT
Ceracris kiangsu (Orthoptera: Arcypteridae), is greatly affected by climatic factors and exhibits strong adaptability, posing a serious threat to the ecological environment. Therefore, predicting its potential suitable habitat distribution provides a proactive theoretical basis for pest control. This study using the Biomod2 package of R simulated and predicted the current and future potential distribution, area changes, changes in the center points of suitable habitats, and niche shifts of C. kiangsu under two different greenhouse gas emission scenarios, SSP1-26 and SSP5-85. The results show that: (1) Currently, the high suitability areas for C. kiangsu are mainly distributed in Yunnan, Jiangxi, Hunan provinces in southern China and phongsaly province in northern Laos. In the future, the center of the suitable habitat distribution pattern of C. kiangsu will remain unchanged, primarily expanding outward from medium and high suitability areas. Additionally, significant suitable habitats for C. kiangsu were discovered in Southeast Asian countries without previous pest records. (2) Compared to the present, the overall suitable habitat area for C. kiangsu is expected to expand, particularly under the SSP5-85 climate change scenario. (3) In the SSP1-26 and SSP5-85 climate scenarios, the geometric center of the suitable habitat generally shows a trend of gradually shifting northeast. (4) Under different climate scenarios, the suitable habitat of C. kiangsu has highly overlapping, indicating that the suitable habitat of C. kiangsu in the invaded areas is broader than in its native regions. In conclusion, the research findings represent a breakthrough in identifying the potential distribution areas of C. kiangsu, which is of great practical significance for the monitoring and control of C. kiangsu pest infestation in China and Southeast Asian countries.
Subject(s)
Climate Change , Ecosystem , Animals , China , Asia, Southeastern , Orthoptera/physiology , Animal Distribution , Grasshoppers/physiologyABSTRACT
The pollution of heavy metals and their harm to human health and the ecological environment have caused widespread concern. In this research, we collected Qinglong antimony mine tailings (8-meter deep) and then analyzed the content changes, geochemical behavior, and ecological risk assessment of 7 heavy metals (Sb, As, Cr, Cd, Cu, Zn, Pb) in the tailing profile, providing a theoretical basis for strengthening the source control and risk control of heavy metals. In addition, the chemical forms of Sb and As were analyzed, and the relationship between their forms and their physical and chemical properties was analyzed by redundancy analysis (RDA). The results showed that the concentrations of Sb (671.97-13896.62 mg/kg), As (287.38-657.36 mg/kg), Cu (27.61-74.48 mg/kg), and Cd (0.49-1.76 mg/kg) in the tailings greatly exceeded their background values, those of Pb (15.67-125.74 mg/kg) and Cr (22.69-185.88 mg/kg) moderately exceed their background values, while that of Zn (41.66-94.48 mg/kg) was slightly below its background value. Among the chemical forms of Sb and As, the residual fraction (F4) had the highest concentration. RDA showed that the pH and tailing particle size were significantly correlated with the chemical species content of Sb and As (p < 0.05). The improved Igeo analysis showed that the tailings were extremely polluted with Sb; highly polluted with As; uncontaminated to moderately polluted with Cd, Cu, and Pb; and uncontaminated with Zn and Cr, and the average Igeo values were in the following order: Sb >As > Pb > Cd > Cu > Zn > Cr. The potential environmental risk index showed that Sb and As imposed a serious risk and Cr, Cd, Cu, Pb, and Zn imposed a low risk, which was basically consistent with the results of the improved Igeo values. This research provides comprehensive theoretical approaches to better understand the source control and risk control of heavy metals in tailing ponds.