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Analysis and risk prediction of pinewood nematodes based on landscape patterns: A case study from Yichang, China.

HONG Cheng-hao1,2, ZHANG Zi-yi2, CAI San-shan2, CHEN Jing-yuan2, SONG De-wen3, LI Yong-xia4, ZHANG Xing-yao4*   

  1. (1Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China; 2Hubei Academy of Forestry, Wuhan 430075, China; 3Huanghua Forestry Station, Yichang 443106, Hubei, China; 4Research Institute of Forestry New Technology, Chinese Academy of Forestry, Beijing 100091, China).
  • Online:2018-11-10 Published:2018-11-10

Abstract: The incidence of pine wilt disease (pinewood nematode) is severe around the Three Gorges area, which puts huge pressure on local environment. The conventional tactics of management for this pest costs too much resource but is not effective. Under the framework of patchcorridormatrix model, the relationships between annual incidence area of pinewood nematodes and landscape patch and landscape pattern were analyzed, and then outbreak risk was assessed. The interpolation risk analysis was carried out based on the Pearson correlation coefficients between the disease situation and pattern indices (CA, PD, LSI, PRD, and SHDI) on both levels of landscape (Yichang City) and patch (Yiling District, Yidu City, and Central District of Yichang City). The results showed that the incidence of pinewood nematodes was quite serious in Yiling District and Yidu City. The disease incidence area was positively correlated to the area of the host patches and their shape indices, with correlation coefficients of 0.826 and 0.818 respectively. There was no significant correlation between disease incidence area and human activity affected patches. The results of interpolation risk analysis showed that the fragmental large host patches and those with high shape index should be the key points of management to reduce expenditure on material and financial resources.

Key words: canopy apparent photosynthetic rate, yield, canopy structure characteristic, drip irrigation quota, cotton