基于分布式模型模擬的茶樹(shù)種植適宜性區(qū)劃

doi:10.3969/2017jms.0038

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基于分布式模型模擬的茶樹(shù)種植適宜性區(qū)劃
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                        10.3969/2017jms.0038
                    
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基金項(xiàng)目:國(guó)家自然科學(xué)基金資助項(xiàng)目（41330529）；江蘇省第四期"333高層次人才培養(yǎng)工程"科研項(xiàng)目（BRA2014373）；中國(guó)氣象局氣候變化專項(xiàng)（CCSF201411）資助

Suitability regionalization of tea trees cultivation based on distributed model simulation

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摘要:

茶樹(shù)種植適宜性區(qū)劃研究可為浙江茶產(chǎn)業(yè)良好發(fā)展和優(yōu)化布局提供理論依據(jù)。從氣候、土壤、地形3類影響因子中選出10個(gè)因子對(duì)浙江省的茶樹(shù)種植適宜性進(jìn)行區(qū)劃研究。其中，氣候因子5個(gè)，分別為年平均氣溫、≥10℃活動(dòng)積溫、年降雨量、生長(zhǎng)季平均相對(duì)濕度和年日照時(shí)數(shù)，這5個(gè)因子通過(guò)主成分分析篩選確定；土壤因子2個(gè)，即：土壤質(zhì)地和土壤pH值；地形因子3個(gè)，即：海拔高度、坡度和坡向?？紤]到浙江省地形復(fù)雜多樣的實(shí)際情況，對(duì)所有氣候因子采用分布式模型實(shí)現(xiàn)其空間分布精細(xì)化模擬。利用層次分析法確定各因子權(quán)重系數(shù)，采用加權(quán)求和法建立茶樹(shù)種植綜合區(qū)劃評(píng)估模型。結(jié)合各種因子適宜性等級(jí)量化指標(biāo)，最終獲得茶樹(shù)種植適宜性綜合評(píng)價(jià)得分的空間分布?；谕恋乩矛F(xiàn)狀，屏蔽水域、城鎮(zhèn)居民用地等不適宜種植區(qū)，將浙江分為適宜、較適宜和不適宜3個(gè)種植區(qū)。結(jié)果表明，浙江茶樹(shù)種植各指標(biāo)適宜性以氣候適宜性最佳，地形適宜性次之，土壤適宜性最差。浙江茶樹(shù)適宜區(qū)占參評(píng)面積（除去屏蔽區(qū)域）的45.51%，該區(qū)海拔、熱量等自然資源充分滿足茶樹(shù)生長(zhǎng)；較適宜區(qū)占47.05%，該區(qū)主要分布在平原地帶或中高海拔地區(qū)；不適宜區(qū)占7.44%，主要分布在高山區(qū)，熱量資源不足。

Abstract:

The suitability regionalization of tea trees cultivation can provide theoretical basis for better development and the optimal distribution of tea industry in Zhejiang Province. Ten factors selected in three kinds of influencing factors such as climate, soil and terrain are used to research the suitability regionalization of tea trees cultivation in Zhejiang Province. Among the ten factors, five climate factors determined by principal components analysis are the annual mean temperature, the annual accumulated temperature above 10℃, the annual precipitation, the mean relative humidity in 4-10 months and the annual sunshine duration, respectively, two soil factors are soil texture and the soil pH value, and three terrain factors are altitude, slope and aspect. Considering the actual situation of the complex terrain in Zhejiang Province, the distributed models are adopted to realize the fine simulation of the spatial distribution for all climate factors. Analytic hierarchy process is used to determine the weight coefficient of each factor and the weighted summation method is adopted to establish the regionalization assessment model of tea trees planting. Combining with the quantitative indicators of suitability grades of all factors, and eventually the spatial distribution of suitability evaluation score is achieved. Based on the present situation of land use, shielding water areas and urban residents, where are not suitable for tea trees, Zhejiang Province into three classes including suitable, sub-suitable and unsuitable regions. Results show that the climate suitability of tea trees cultivation in Zhejiang Province is divided is best, following by terrain suitability, and soil suitability is worst. In addition, the suitable regions account for 45.51% of the eligible area. The natural resources like altitude and heat fully meet the growth of tea trees in this region. The sub-suitable regions account for 47.05% and were mainly distributed in the plains or middle or high elevation areas. The unsuitable regions account for 7.44% and were mainly distributed in the high mountains areas where the resource of heat is insufficient.

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王丹丹,邱新法,曾燕,施國(guó)萍.基于分布式模型模擬的茶樹(shù)種植適宜性區(qū)劃.氣象科學(xué),2018,38(1):121-129 WANG Dandan, QIU Xinfa, ZENG Yan, SHI Guoping. Suitability regionalization of tea trees cultivation based on distributed model simulation. Journal of the Meteorological Sciences,2018,38(1):121-129

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收稿日期:2016-07-14
最后修改日期:2017-03-01
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在線發(fā)布日期: 2018-03-13
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