Study on the Construction Modes of Rural Landscape and Ecological Tea Plantation——With Tea Plantations in Helong Township,Ya'an City as a Study Case

By analyzing the present situation and advantages of tea plantations in Helong Township,Ya'an City,the construction modes of rural landscape and ecological tea plantation were studied from the perspective of landscape ecology.

Spatial Variability of Soil Cation Exchange Capacity in Hilly Tea Plantation Soils Under Different Sampling Scales

Studies on the spatial variability of the soil cation exchange capacity （CEC） were made to provide a theoretical basis for an ecological tea plantation and management of soil fertilizer in the tea plantation. Geostatistics were used to analyze the spatial variability of soil CEC in the tea plantation site on Mengding Mountain in Sichuan Province of China on two sampling scales. It was found that, （1） on the small scale, the soil CEC was intensively spatially correlative, the rate of nugget to sill was 18.84% and the spatially dependent range was 1 818 m, and structural factors were the main factors that affected the spatial variability of the soil CEC; （2） on the microscale, the soil CEC was also consumingly spatially dependent, and the rate of nugget to sill was 16.52%, the spatially dependent range was 311 m, and the main factors affecting the spatial variability were just the same as mentioned earlier. On the small scale, soil CEC had a stronger anisotropic structure on the slope aspect, and a weaker one on the lateral side. According to the ordinary Kriging method, the equivalence of soil CEC distributed along the lateral aspect of the slope from northeast to southwest, and the soil CEC reduced as the elevation went down. On the microscale, the anisotropic structure was different from that measured on the small scale. It had a stronger anisotropic structure on the aspect that was near the aspect of the slope, and a weaker one near the lateral aspect of the slope. The soil CEC distributed along the lateral aspect of the slope and some distributed in the form of plots. From the top to the bottom of the slope, the soil CEC increased initially, and then reduced, and finally increased.

Hydrological eco-service of rubber plantations in Hainan Island and its effect on local economic development

The impacts of economic forest on global environmental change(GEC) are one of the hot issues in environmental study. Based on the 3 year observation data and 40 year climate data, GEC and analysis of the hydrological dynamic characteristics of rubber plantations and estimate of the water balance in the rubber plantations in Hainan Island were made. The results showed that the rainfall intercepted by the canopy of the plantations accounted for 11 45% of the annual rainfall, the total runoff for 23 71%, the total evaporation and transpiration for 63 24%, the soil moisture storage for 1 6%. Analysis of the 40 year rainfall data in the 19 counties of Hainan Island during 1951—1990 showed that the large scale substitution of the natural vegetation with the rubber plantations had no significant effect on the local rainfall in Hainan Island. The main reasons are (1) 80% of the rainfall in Hainan is brought by typhoons; (2) the proportion of 11 6% rubber plantations in total forest coverage in Hainan is not enough to influence the local rainfall in Hainan Island; and (3) although the rubber plantation is artificial vegetation, it has the similar function to the tropical rain forest. Analysis of the total water resource and total GDP of Hainan in 1997 showed that the economic benefit resulted from the water resource was 1 0 RMB Yuan/m 3 The value of hydrological of the rubber plantation in Hainan was 113 9 million RMB Yuan/a when compared with the tropical rain forest. The paper reaches conclusion that the hydrological eco service function of rubber plantation has been enhanced after transformed from natural vegetation, which includes the natural service and powerful social service.

Tea Plantation Frost Damage Early Warning Using a Two-Fold Method for Temperature Prediction

As the source and main producing area of tea in the world, China has formed unique tea culture, and achievedremarkable economic benefits. However, frequent meteorological disasters, particularly low temperature frostdamage in late spring has seriously threatened the growth status of tea trees and caused quality and yield reduction of tea industry. Thus, timely and accurate early warning of frost damage occurrence in specific tea garden isvery important for tea plantation management and economic values. Aiming at the problems existing in currentmeteorological disaster forecasting methods, such as difficulty in obtaining massive meteorological data, largeamount of calculation for predicted models and incomplete information on frost damage occurrence, this paperproposed a two-fold algorithm for short-term and real-time prediction of temperature using field environmentaldata, and temperature trend results from a nearest local weather station for accurate frost damage occurrence leveldetermination, so as to achieve a specific tea garden frost damage occurrence prediction in a microclimate. Timeseries meteorological data collected from a small weather station was used for testing and parameterization of atwo-fold method, and another dataset acquired from Tea Experimental Base of Zhejiang University was furtherused to validate the capability of a two-fold model for frost damage forecasting. Results showed that comparedwith the results of autoregressive integrated moving average (ARIMA) and multiple linear regression (MLR),the proposed two-fold method using a second order Furrier fitting model and a K-Nearest Neighbor model(K = 3) with three days historical temperature data exhibited excellent accuracy for frost damage occurrence prediction on consideration of both model accuracy and computation (98.46% forecasted duration of frost damage,and 95.38% for forecasted temperature at the onset time). For field test in a tea garden, the proposed methodaccurately predicted three times frost damage occurrences, including onset time, duration and occurrence level.These results suggested the newly-proposed two-fold method was suitable for tea plantation frost damage occurrence forecasting.

Investigation on Species of Spiders in Tea Plantations in Enshi Region of China

The spider resources in tea plantations in Enshi region have been investigated and 51 species of spiders belonging to 22 families have been identified in the paper. The dominant species are clarified and their directory and distribution status are also listed in the paper.

Spatial Analysis of Pollution-free Land for Tea Plantation and Comprehensive Evaluation of Soil Suitability

To survey the tea resource advantages in Guizhou's mountainous areas and complete rational layout of pollution-free tea planting areas, we take the case of Guiding County in Guizhou Province to establish the comprehensive evaluation indicator system of pollution-free land for tea plantation and comprehensive evaluation model of soil suitability of land for tea plantation according to the Environmental Conditions Standard for Pollution-free Food-Tea Producing Areas by the Ministry of Agriculture (NY 5020-2001), using land use data, remote sensing data, soil data, temperature, precipitation, light, DEM and other critical basic data, combined with the spatial analysis statistical method. The results show that the area of land suitable for planting tea is 1265 km2, accounting for 77.57% of the entire study area; the area of land with soil quality, climatic conditions and terrain conditions to meet the planting standard of pollution-free tea is 1232.51 km2, accounting for 75.57% of the total land area; the area of land most suitable for the planting of pollution-free tea is 128.71 km2, accounting for 7.89% of the total land area. The above studies can provide scientific basis and decision support for the implementation of tea planting industry standards in the specific areas, and provide reference for the comprehensive assessment of tea planting in other areas.

An Edge-assisted, Object-oriented Random Forest Approach for Refined Extraction of Tea Plantations Using Multi-temporal Sentinel-2 and High-resolution Gaofen-2 Imagery

As a consumed and influential natural plant beverage,tea is widely planted in subtropical and tropical areas all over the world.Affected by(sub)tropical climate characteristics,the underlying surface of the tea distribution area is extremely complex,with a variety of vegetation types.In addition,tea distribution is scattered and fragmentized in most of China.Therefore,it is difficult to obtain accurate tea information based on coarse resolution remote sensing data and existing feature extraction methods.This study proposed a boundary-enhanced,object-oriented random forest method on the basis of high-resolution GF-2 and multi-temporal Sentinel-2 data.This method uses multispectral indexes,textures,vegetable indices,and variation characteristics of time-series NDVI from the multi-temporal Sentinel-2 imageries to obtain abundant features related to the growth of tea plantations.To reduce feature redundancy and computation time,the feature elimination algorithm based on Mean Decrease Accuracy(MDA)was used to generate the optimal feature set.Considering the serious boundary inconsistency problem caused by the complex and fragmented land cover types,high resolution GF-2 image was segmented based on the MultiResolution Segmentation(MRS)algorithm to assist the segmentation of Sentinel-2,which contributes to delineating meaningful objects and enhancing the reliability of the boundary for tea plantations.Finally,the object-oriented random forest method was utilized to extract the tea information based on the optimal feature combination in the Jingmai Mountain,Yunnan Province.The resulting tea plantation map had high accuracy,with a 95.38%overall accuracy and 0.91 kappa coefficient.We conclude that the proposed method is effective for mapping tea plantations in high heterogeneity mountainous areas and has the potential for mapping tea plantations in large areas.

Canopy Cultivation Technology and Benefit Analysis of Tea Tree Canopy in Preserved Tea Plantations

The present study introduced the concept and characteristics of preserved tea plantation,and analyzed application and benefit of stereoscopic trimming and pruning technology in the cultivation of tea tree canopy in preserved tea plantations.The results show that the stereoscopic trimming and pruning technology of tea trees has more advantages in production efficiency than other trimming and pruning techniques in terms of yield and output value,and can better exert the regeneration ability of tea branches.The grade of branching is increased from grade 3-4 before unpruning to grade 9-13(3-4 times higher),the length of internode is increased from 1-2 cm to 3-7 cm(increased 3-4 times),the picking area is increased from 0.9 m×1.1 m to 2.8 m×4.2 m(an increase of nearly 10 times),accordingly achieving the best production and economic benefits required in tea production.

Influence of Tea Plantations, Forest and Mixed Farming on Stream Flow and Sediment Loads, Case of Sondu Miriu River Basin, Kenya

The changing patterns of land cover and land use in the tropical river basin over time are critical. The hydrological phenomena at basin and sub basin scale are affected positively or negatively by dynamics of the land cover and land use patterns. Hence identifying causes and driving factors aid in taking appropriate measures to avert the impacts. This study determined the influences of sub basins dominated by tea plantations, forests and agricultural land uses in terms of streamflow and sediment flux variability in Sondu Miriu River Basin in Kenya, East Africa. Field-based investigations were conducted through sampling of flow velocities, turbidity and TSSC obtained from existing River Gauging Stations established within the three sub basins. The sub basin dominated by mixed farming land cover exhibits high turbidity approximately 620 NTU and high levels of total suspended sediment concentration (TSSC) of the order of 630 mg/l in wet seasons. The turbidity levels and TSSC were low in sub basins dominated by forest and tea plantations with approximately mean value of 17 - 29 NTU and 0.019 g/l. The sediment loads in sub basin dominated by mixed farming in the pre planting season in January to February were about 900 tonnes/day higher than that in crop growing season. In sub basins dominated by forest cover and tea plantations, sediment loads were low ranging between 2 - 7 tonnes/day. The relationship between stream flows and area under tea plantations, forests and mixed farming ranged between R2 of 0.025 and 0.16. Tea plantations and forests influence the stream flows and sediment yields in long term duration while in mixed farming variations were observed seasonally. The strong relationships between rainfall and stream flows at the sub basins ranging between R2 of 0.84 and 0.97 revealed the significance of rainfall in hydrologic response of the Sondu Miriu River Basin.

基于生态(Eco-exergy)的鹤山红木荷人工林群落结构发展动态

能量是生态系统过程的趋动力,系统内的一切生命活动都伴随着能量转化与传递;因此,生态系统发展过程中的热力学普遍规律是生态学与生物物理学长期以来共同的研究焦点。源于热力学的生态(Eco-exergy)理论是当前生态系统自组织研究过程中较流行的目标函数,已被广泛用于湿地和水生生态系统等的研究中,森林生态系统研究中案例匮乏。本研究运用生态(Eco-exergy)理论方法,量化分析了鹤山红木荷Schima wallichii人工群落12～27龄间的结构发展动态,探讨了生态理论在森林研究中的应用。同时,为更好地表征物种的群落热力学地位,构建并使用了群落生态贡献率(PC)和冠层生态贡献率(PL)两个新指标,丰富了森林系统生态的计算方法。结果显示,15年间,红木荷群落生态和结构(SpecificEco-exergy)均波动上升,群落结构趋于有序;群落乔-灌-草层热力学结构发展不同步,但互有影响。拥有巨大生物量的乔木层和遗传信息较丰富的草本层分别在生态和结构中占据较大比重,两者在群落结构的稳定和复杂性的发展与维系中发挥着重要作用。先锋种红木荷的生长增加了林内荫庇度,促使林下结构向"耐阴种占优"的方向转变,但其自我更新受阻,而区域森林演替后期优势树种亦未能自然进驻,阻滞了群落的演替发展和结构健康水平的进一步提升;建议人为引入锥栗Castanopsis chinensis、荷木Schima superba、厚壳桂Cryptocarya chinensis、云南银柴Aporusa yunanensis等进行林份改造,加速系统演替与结构有序化进程。

基于ARM920T的嵌入式系统eCos移植分析及应用

为了将嵌入式实时操作系统eCos,在以ARM920T处理器S3C2410为核心的开发板上运行,对eCos的一般性移植方法进行了研究,提出了将eCos向目标板移植的具体方法。在将硬件抽象层HAL针对目标板做了修改和移植后,生成最小配置的redboot镜像,用以在目标板上引导eCos。在此基础上针对目标板增加eCos的配置选项和包,结合C代码和eCos库文件编写了eCos应用程序,结果表明eCos以及应用程序在目标板可以正常运行。

Exploiting push-pull strategy to combat the tea green leafhopper based on volatiles of Lavandula angustifolia and Flemingia macrophylla

Thirteen volatile compounds were identified from Flemingia macrophylla plants. Eight major components significantly attracted the tea green leafhoppers, Empoasca flavescens F. Based on their relative abundances, following synthetic blends were made for field experiments: 1) eight-component-attractant blend included Z-3-hexen-1-ol, Z-3-hexenyl acetate, Z-ocimene, Me SA, Z-3-hexenyl butyrate, dodecane, hexadecane and nonanal at 10, 10, 1, 11, 2, 6, 2 and 4 mg mL^-1 in n-hexane, respectively;2) four-component-attractant blend #1 contained hexadecane, Z-3-hexenyl acetate, Z-3-hexen-1-ol and nonanal at 2, 10, 10 and 4 mg mL^-1 in n-hexane, respectively;3) four-component-attractant blend #2 contained hexadecane, Z-3-hexenyl acetate, Z-3-hexen-1-ol and Me SA at 2, 10, 10 and 11 mg mL^-1 in n-hexane, respectively. Thymol and 1-methoxy-4-methyl-2-(1-methylethyl)-benzene, identified from Lavandula angustifolia aeration samples, significantly repelled the leafhopper as strong repellents when tested alone or in combination at 10 mg mL^-1. For field bioassays, each attractant lure was attached to a bud green sticky board hung from a bamboo stick at above tea plant level for catching the leafhoppers, whereas the repellent dispenser was tied to a tea branch inside tea clump for pushing the leafhoppers away from tea clumps. The results showed that the eight-component-attractant blend caught similar numbers of the leafhopper as did the four-component-attractant blend #1 at about 53–79 leafhoppers/trap/day, which were significantly higher than those on the hexane-control bud green sticky boards. Average leafhopper catches from un-baited sticky boards were about 51–73 leafhoppers/trap/day when pushed by the repellents placed inside tea plants, with the two-component-repellent blend being more effective than their single components. When the two-component-repellent blend was further tested with the three attractant blends in a push-pull fashion, average trap catches ranged from 62 to 92 leafhoppers/trap/day. Control efficacy on the leafhoppers within the push-pull zones increased progressively from day 1(43%) to day 5(73%). This push-pull approach might have a great potential as a green control strategy for combating the tea green leafhoppers.

Assessment of soil degradation and chemical compositions in Rwandan tea-growing areas

This study has focused on the processes of soil degradation and chemical element concentration in tea-growing regions of Rwanda,Africa.Soil degradation accelerated by erosion is caused not only by topography but also by human activities.This soil degradation involves both the physical loss and reduction in the amount of topsoil associated with nutrient decline.Soil samples were collected from eleven tropical zones in Rwanda and from variable depth within each collecting site.Of these,Samples from three locations in each zone were analyzed in the laboratory,with the result that the pH of all soil samples is shown to be less than 5（pH〈5） with a general average of 4.4.The elements such as iron（Fe）, copper（Cu）,manganese（Mn）,and zinc（Zn） are present in high concentration levels.In contrast calcium （Ca） and sodium（Na） are present at low-level concentrations and carbon（C） was found in minimal concentrations.In addition,elements derived from fertilizers,such as nitrogen（N）,phosphorous（P）,and potassium（K） which is also from minerals such as feldspar,are also present in low-level concentrations. The results indicate that the soil in certain Rwandan tea plantations is acidic and that this level of pH may help explain,in addition to natural factors,the deficiency of some elements such as Ca,Mg,P and N.The use of chemical fertilizers,land use system and the location of fields relative to household plots are also considered to help explain why tea plantation soils are typically degraded.

Some Biogeochemical Characteristics of Tea Soils

Characteristics of the element abundance, material cycling, element budget in tea soils were discussed based on investigations of six tea plantations and the adjacent waste lands in the Three Gorges region.The plantations have different soil-forming parent materials, but similar landforms, and the same tea variety and close ages. The results showed that tea growing could increased the contents of organic matter,total and available N, P, Al and Mn; the elements enriched by tea trees were in the following descending Sequence: P > Ca> K > Mn > Mg > Zn > Al > Fe; elements returned through litter of tea were in the sequence of Ca> Mn > P > Zn > Mg > K > Al > Fe; in the nutrient budget of the soil-tea system, P and K were in deficit,whereas Al, Ca, Fe and Mn in surplus.

Hyperparasitism of Homona coffearia Nietn. (Lepidoptera: Tortricidae), the Tea Tortrix of Sri Lanka: Implications for Biological Control

Tea tortrix, Homona coffearia Nietner (Lepidoptera: Tortricidae), is a seasonal pest of tea in Sri Lanka. Though it is active in dry weather, it is observed that populations do occur in wet weather causing serious damage to tea. The parasite, Macrocentrus homonae Nixon (Hymenoptera: Braconidae), controls the tortrix populations, but the efficiency of Macrocentrus has been reduced on account of hyperparasites in recent times. Level of hyperparasitism was studied in some tea tortrix prone areas in the up country region to study how this affected the tortrix populations during wet weather. The hyperparasitism varied during the study period of which average values observed ranged from 35% to 52% in the plantations studied. A negative linear relationship was observed between the average number of parasite cocoons in a cocoon mass and the percentage hyperparasitism. Three generations of tortrix were evident during the study period of May to November 2005. It is observed that tortrix populations do occur in dry and wet weather, and that hyperparasitism has been identified as the major cause affecting the efficient control of tortrix by the parasite. Possibilities of tea tortrix control in wet weather are discussed.

Assessing heavy metal pollution and potential ecological risk of tea plantation soils

Accumulation of heavy metals in agricultural soils tends to increase crop uptake of heavy metals,and can adversely impact human health through food chains.This study assessed the heavy metal pollution status and the potential ecological risk of tea plantation soils in southern Shaanxi Province,China.A total of 330 topsoil samples were collected to analyze the concentrations of seven heavy metals(Pb,Zn,Cu,Cr,Hg,As and Cd)and the pH level.The Hakanson potential ecological risk index was used based on the background levels of soil heavy metals in Shaanxi.Results showed that the averaged concentrations of soil Pb,Zn,Cu,Cr,Hg,As,and Cd were 10.0,87.6,16.4,12.4,0.2,6.9 and 0.1 mg/kg,respectively.Cd and Hg concentrations exceeded level II of China’s Soil Environment Quality Standard(GB 15618-2009)in 9.3%and 7.0%of the total samples,respectively.The coefficient of variation ranged from 29.2%to 52.2%for different elements,and was 49.3%for Cd and 48.6%for Hg.The averaged comprehensive potential ecological risk index was 95.4,and the overall potential ecological risk was low,with 82.4%of the total samples at a low level of potential ecological risk.Cd and Hg contributed most to the potential ecological risk(35.5%and 46.5%,respectively),and the risks associated with other elements were relatively minor.This study suggested that soil Cd and Hg pollution should be controlled to ensure the safe production of tea in the study area.

施肥类型对茶园土壤酸度的影响研究

【目的】茶园土壤酸化是当前茶叶生产中面临的重要问题。研究施肥类型对茶园土壤酸度的影响,为茶园土壤酸化阻控和改良提供理论依据。【方法】对比福建省周宁县17个定位监测茶园2013年和2021年土壤酸度变化,并根据相应茶企施肥档案资料,将茶园施肥类型划分为无机型(纯化肥施用)、有机无机型(有机肥和化肥配合施用)、有机型(纯有机肥施用)等3种类型,分析不同施肥类型对茶园土壤酸度的影响。【结果】2013—2021年,无机型肥料管理模式茶园0~20 cm、20~40 cm土层土壤pH平均值分别降低0.26和0.24个单位,年均降低0.033和0.030个pH单位,土壤酸化程度加剧。有机无机型茶园土壤pH分别提高0.19和0.20个单位,年均提高0.024和0.025个pH单位;有机型茶园土壤pH分别提高0.39和0.23个单位,年均提高0.048和0.028个pH单位,土壤酸化得到缓解和改良。茶园土壤pH变化速率与化肥施用量呈极显著的正相关关系,而与有机肥施用量呈极显著的负相关关系,施氮量增加加速茶园土壤酸化,增施有机肥可以减缓和改良土壤酸化。茶园土壤pH变化速率与初始土壤基本理化性状相关关系不显著。【结论】施肥类型是影响茶园土壤酸度变化的主要因素。在茶叶生产中,可通过控制化肥施用量,增加有机肥施用量来阻控和改良茶园土壤酸化。

我国茶园土壤酸化现状、问题及调控途径

土壤酸化问题正在成为限制茶园土壤健康和茶叶优质高产的重要因素,然而,当前对茶园土壤酸化的现状、机制及调控途径尚缺乏系统性总结,制约了茶产业高质量发展。对我国茶园土壤酸化现状进行重点分析,系统阐述茶园土壤酸化的内部机制和外部因素,解析了土壤酸化对茶树生长、土壤元素转化和生态系统过程的影响。针对茶园酸化土壤改良目标,提出酸化土壤的有效调控途径,旨在为茶园土壤健康管理和茶产业绿色可持续发展提供依据。

田间老化生物质炭对茶园土壤氮素形态和细菌群落的影响

【目的】研究田间老化生物质炭对酸性茶园土壤氮素形态和细菌群落结构的影响,探讨土壤氮素形态与微生物群落结构及多样性之间的关系,从而为评估生物质炭在茶园生态系统的长期效应提供科学数据。【方法】2010年在福建省农业科学院茶叶研究所试验基地,试验设置5个生物质炭施用量:0、8、16、32和64 t·hm^(-2),依次记为CK、B1、B2、B3和B4处理。2022年(第12 a)春茶采收后,采集0~20 cm土层土壤,探究不同生物质炭用量对土壤氮素形态及细菌群落结构的影响,并分析其影响因素。【结果】与CK相比,施用生物质炭处理12a后土壤有机碳、全氮、硝态氮、铵态氮、有效钾、pH、砂粒含量分别增加了7.95%~21.40%、11.69%~25.54%、53.45%~115.84%、1.13%~38.86%、28.49%~114.13%、5.51%~12.46%和21.11%~67.88%;碱解氮、有效磷、黏粒和粉粒含量分别下降了11.97%~17.25%(B1处理除外)、15.18%~50.36%、15.64%~38.21%和8.57%~30.63%。生物质炭处理可提高土壤细菌Alpha多样性,增加了变形菌门(Proteobacteria)、放线菌门(Actinobacteria)、芽单胞菌门(Gemmatimonadota)和粘球菌门(Myxococcota)的丰度,减少绿弯菌门(Chloroflexi)、酸杆菌门(Acidobacteria)和浮霉菌门(Planctomycetes)的丰度。非度量多维尺度和线性判别分析结果显示,B0和B4之间有比较明显的分离,B4处理下产生了19种显著差异的微生物类群。相关分析和冗余分析结果表明,土壤有效磷、速效钾、硝态氮、黏粒是驱动土壤细菌群落结构变化的关键环境因子。【结论】生物质炭施用12a后,仍然能够增加土壤碳氮和速效养分养分含量,改善土壤质地结构,从而提高了土壤细菌群落多样性,64 t·hm~(-2)生物质炭用量可长期提高土壤供氮能力。

40个福建茶树品种叶片元素生态化学计量特征

【目的】探索同一生境条件下不同茶树品种对大量元素的同化利用特征。【方法】对40个福建茶树品种的叶片C、N、P与K元素含量及其化学计量比进行分析,并采用主成分与聚类分析对元素计量等10种特征指标进行综合评价。【结果】茶树叶片有机C、全N、全P和全K含量及其化学计量比等10种指标,除P、C/K、N/K与P/K为非正态分布外,其余C、N、K、C/N、C/P及N/P均呈正态分布。有10个品种N/P值<14,为N限制;有25个品种N/P值>16,呈P限制。以欧氏距离17为临界值,通过聚类分析可将40个品种分为3大类群,其中第Ⅲ类群N/P值<14,呈N限制;而占总数的75%的品种归在第Ⅰ、Ⅱ类群,其N/P值均>16,呈P限制。通过主成分分析,可将10种元素特征参数提取成3个主成分,占解释总方差91.88%。主成分综合评价排名前6位的茶树品种依次为:金牡丹、大叶乌龙、朝阳、金观音、铁观音、大红袍;与叶片高N、P含量的品种高度一致。【结论】N、P元素及其比值可作为元素生态化学计量主成分评价的重要影响因素。本研究可为高N、P同化潜力的种质资源评价、茶树新品种选育及亲本选择提供参考。