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Selection of the Most Suitable Tree Species for Truffle Cultivation Using Fuzzy VIKOR and Fuzzy AHP: New Paths in Forest Policy Planning

机译:模糊VIKOR和模糊层次分析法选择最合适的松露树种:森林政策规划的新途径

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Truffle cultivation is considered to be a very profitable agricultural activity; it is however strongly demanding, with a highly uncertain yield. The selection of an appropriate site and host tree species is challenging, because truffles have very specific edaphoclimatic and topographic requirements. The aim of this article is to select the optimum tree species for truffle cultivation in Greece, by examining the most common host tree species under criteria that affect truffle productivity, thus pointing to new paths for forest policy planning. A combination of fuzzy AHP and fuzzy VIKOR was applied in two different scenarios, using equal and different criteria weights. Oak, hornbeam and pine trees were identified as the most suitable tree species for truffle cultivation in Greece. The findings could help mitigate uncertainty and improve productivity. They are also useful in Forest Policy planning, offering incentives for the reforestation of less favoured areas and the conversion of marginal or abandoned agricultural land.
机译:松露种植被认为是一项非常有利可图的农业活动。然而,它的需求量很大,产量不确定性很高。选择合适的地点和寄主树种具有挑战性,因为松露具有非常特殊的生态气候和地形要求。本文的目的是通过在影响松露生产率的标准下检查最常见的寄主树种,从而选择希腊最适合松露种植的树种,从而为森林政策规划指明新的道路。模糊AHP和模糊VIKOR的组合被应用在两个不同的场景中,使用相等和不同的标准权重。橡树,角树和松树被认为是希腊最适合松露种植的树种。这些发现可以帮助减轻不确定性并提高生产率。它们在森林政策规划中也很有用,为不那么偏爱的地区重新造林以及边际或废弃农业用地的转化提供激励。

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