东北林业大学学报
東北林業大學學報
동북임업대학학보
JOURNAL OF NORTHEAST FORESTRY UNIVERSITY
2014年
10期
54-59
,共6页
杉木%模糊综合评价%数量化理论%相关矩阵
杉木%模糊綜閤評價%數量化理論%相關矩陣
삼목%모호종합평개%수양화이론%상관구진
Chinese fir%Fuzzy comprehensive evaluation%Quantification theory%Correlation matrix
为了科学地评价福建省宜林地立地质量等级和生产潜力,选取福建省顺昌县81块杉木标准地,基于模糊综合评价法与数量化理论法确定立地质量等级并构建数量化理论预测方程,从分级与数量化两方面分别进行评价与模拟。结果表明:研究区立地综合得分值为1.701,立地等级为中级;影响杉木宜林地立地质量的因子重要性依次为土层厚度、坡向、腐殖质厚度、地貌、海拔、土壤类型、坡度、坡位,并定量地给出各立地因子对林木生长的贡献。两种方法经检验均达到理想效果,可作为评价宜林地立地质量和预测造林后林木生长趋势的有效方法。
為瞭科學地評價福建省宜林地立地質量等級和生產潛力,選取福建省順昌縣81塊杉木標準地,基于模糊綜閤評價法與數量化理論法確定立地質量等級併構建數量化理論預測方程,從分級與數量化兩方麵分彆進行評價與模擬。結果錶明:研究區立地綜閤得分值為1.701,立地等級為中級;影響杉木宜林地立地質量的因子重要性依次為土層厚度、坡嚮、腐殖質厚度、地貌、海拔、土壤類型、坡度、坡位,併定量地給齣各立地因子對林木生長的貢獻。兩種方法經檢驗均達到理想效果,可作為評價宜林地立地質量和預測造林後林木生長趨勢的有效方法。
위료과학지평개복건성의임지입지질량등급화생산잠력,선취복건성순창현81괴삼목표준지,기우모호종합평개법여수양화이론법학정입지질량등급병구건수양화이론예측방정,종분급여수양화량방면분별진행평개여모의。결과표명:연구구입지종합득분치위1.701,입지등급위중급;영향삼목의임지입지질량적인자중요성의차위토층후도、파향、부식질후도、지모、해발、토양류형、파도、파위,병정량지급출각입지인자대림목생장적공헌。량충방법경검험균체도이상효과,가작위평개의임지입지질량화예측조림후림목생장추세적유효방법。
To scientifically evaluate the site quality grade and potential productivity for the suitable land for forest of Fujian Prov -ince, we determined the site quality grade and establish prediction equation of the quantification theory based on the fuzzy comprehensive evaluation and quantification theory in 81 sample plots in the Chinese fir on Shunchang County of Fujian Province.The evaluation and simulation were conducted for the site quality from two aspects of grading and quantification . The comprehensive evaluation score was 1.701 and the site quality grade was middle rank .The order of importance affecting the site quality for the suitable land for Chinese fir forest as follow:soil thickness, exposure, humus depth, landform, ele-vation, soil type, slope and slope position.Then, we quantificationally calculated the contributions to the trees growth for all the site factors.Two methods reached the ideal effect by the test , which can be used as the site quality evaluation and prediction in forest growth tendency after the afforestation for the suitable land for forest .