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Methods of Predicting Risks of Wheat Damage by White-Fronted Geese

机译:预测白额鹅对小麦的危害风险的方法

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摘要

Accurately predicting occurrence of wildlife damage is crucial for effective management of problematic wildlife species, because accurate predication allows deterrence efforts to be focused at sites or times where damage is most likely. We explored methods to predict occurrence of white-fronted geese (Anser albifrons) grazing in wheat fields around Lake Miyajimanuma, Japan. Depletion of waste rice grains caused geese to forage on wheat leaves in spring, reducing wheat harvest in grazed fields. The cumulative number of goose-days per hectare of rice-planted area from the beginning of the staging period explained the variation in the proportion of geese foraging in wheat fields. A logistic regression model on the location of vulnerable fields showed that goose grazing was likely to occur in wheat fields far from roads and windbreaks and those close to (within 1,000-2,000 m of) previously grazed fields. Although probability of occurrence of goose grazing was initially low in wheat fields with scaring devices, effectiveness of such devices was lost over the 4 survey years. We recommend farmers in the study area prepare counter-damage measures when the cumulative number of goose-days per rice-planted area approaches a threshold above which some geese are predicted to start foraging on wheat (e. g., 199.46 goose-days/ ha rice +/- 28.95 for 10% of geese foraging on wheat). Further, farmers should be aware that grazing on wheat is more likely to occur if wheat fields within 1,000-2,000 m have already been exploited during that particular season and should concentrate deterrence efforts to wheat fields that are far from roads and windbreaks. Systematic deployment of scaring devices over the entire habitat has a risk of accelerating the decline in effectiveness. Thus, we need methods to retard goose habituation to scaring devices, such as scaring with guns, providing alternative feeding sites, and preventing diet change by geese. (JOURNAL OF WILDLIFE MANAGEMENT 72(8): 1845-1852; 2008)
机译:准确预测野生动植物破坏的发生对于有效管理有问题的野生动植物物种至关重要,因为准确的预测可以将威慑力量集中在最可能造成破坏的地点或时间。我们探索了预测在日本宫岛湖附近的麦田中放牧的白额雁(Anser albifrons)发生的方法。春季稻米谷物的枯竭导致鹅在小麦叶片上觅食,减少了放牧田地的小麦收成。从分期开始以来,每公顷水稻种植区的鹅日累积数解释了小麦田中鹅觅食比例的变化。关于易受害地区位置的逻辑回归模型表明,在远离道路和防风林的麦田和接近(在1,000-2,000 m内)先前放牧田地的麦田中,很可能发生鹅牧。尽管最初在带有吓devices装置的麦田中放牧鹅的可能性很低,但在过去的四个调查年中,这种装置的有效性丧失了。我们建议研究区域内的农民在每个水稻种植区的鹅日累积天数接近某个阈值时,应采取防害措施,预计一些鹅会超过该阈值开始在小麦上觅食(例如199.46鹅日/公顷大米+ /-在小麦中觅食的10%的鹅为28.95。此外,农民应意识到,如果在那个特定季节已经开采了1,000-2,000 m的麦田,则更有可能放牧小麦,并应将威慑力集中到远离道路和防风林的麦田。在整个生境中系统地部署惊吓设备有加速有效性下降的风险。因此,我们需要一些方法来阻止鹅对惊吓装置的习惯化,例如用枪惊吓,提供替代的觅食地点以及防止鹅改变饮食。 (野生动物管理杂志72(8):1845-1852; 2008)

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