基于CVOR与3S技术融合的赣南脐橙园系统质量评估

Ecosystem Quality Evaluation of Gannan Navel Orange Orchard Based on CVOR Index and 3S Technology

【目的】本研究旨在构建针对脐橙园的园地CVOR指数模型,对赣南脐橙园系统进行质量评估。【方法】在生态系统健康评价CVOR理论框架下,以赣南典型脐橙产区寻乌县境内的脐橙园为研究对象,从人工生态系统的组分出发,结合自然要素和人为活动等多源数据,借助GIS软件和遥感平台,研究寻乌脐橙园的质量格局及驱动力。【结果】寻乌脐橙园的基况分指数(C)和VOR分指数(VOR)在空间分布上存在较明显的区别。相关性检验结果显示,两个分指数间的相关系数为0.13。CVOR指数与两个分指数的相关系数分别为0.60和0.84,表明CVOR指数可以作为表征脐橙园的系统状况和基况水平的综合指数。寻乌全县脐橙园的CVOR指数介于0~0.85之间。高质量的脐橙园主要连片分布于吉谭镇西部、文峰乡东部、澄江镇中部和南桥镇中部,最优质的地块在吉谭镇的圳下村、古丰村和兰贝村。低质量脐橙园在各乡镇呈散乱分布,质量最差的地块处于丹溪乡的双村村。交通条件、地块集聚程度和产量是决定寻乌县脐橙园质量及空间分布的主控因子。【结论】寻乌县脐橙园的系统质量总体良好,但部分脐橙园仍有质量提升的空间。所构建的CVOR指数模型可用于表征脐橙园的系统质量,可为其他园地系统的质量评估提供思路。

[Objective] The paper aims to build a CVOR index model for quality evaluation of navel orange orchards of the Gannan navel orange orchard system. [Method] A typical navel orange producing area was selected in Xunwu county of southern Jiangxi Province. With measured data(soil organic matter, available nutrients, yield, etc.) and remote sensing data(temperature, altitude, traffic, etc.), a CVOR index model for navel orange orchards was constructed depending on the structure and composition of the artificial ecosystem. Meanwhile, the CVOR index characteristics of navel orange orchards were further studied by ArcGIS software and remote sensing platforms.[Result] An obvious different spatial pattern of condition(C) and VOR(VOR) sub-indices was posed in Xunwu navel orange orchard. The correlation coefficient between the two sub-indices was 0.13 based on correlation test results. The correlation coefficients between the CVOR index and two sub-indices were 0.60 and 0.84, indicating that the CVOR index could be a comprehensive index to identify the system status and condition level of navel orange orchards.According to the research, the CVOR index of navel orange orchards in Xunwu ranged from 0 to 0.85. High-level navel orange orchards were mainly located in the western Jitan, eastern Wenfeng, the middle of both Chengjiang and Nanqiao. The plots with the highest quality were distributed in the Zhenxia, Gufeng, and Lanbei of Jitan Town. At the same time, low-level orchards were scattered in the townships. The plots with the lowest quality were in Shuangcun village of Danxi Township. Traffic conditions, the degree of land agglomeration and the yield were the main factors that determine the quality and spatial distribution of navel orange orchards in Xunwu County. [Conclusion] The system quality of navel orange orchards in Xunwu County was well overall, but the system quality of some orchards could be improved. The CVOR index we constructed could reflect the system quality of navel orange orchards and provide ideas for the quality evaluation of other orchard systems.