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Environmental zoning of swamps in the Ecological Station of Taim, RS, Brazil

机译:巴西塔伊姆市生态站内沼泽的环境分区

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The "Environmental Zoning of swamps in the Ecological Station of Taim (RS)" allowed to evaluate an environmental deterioration of the existent ecosystems in the Ecological Station of Taim (ESEC/TAIM); municipal districts of Rio Grande and Santa Vitória do Palmar (RS). Two types of different ecosystems were considered: swamps zone (ECO1 = Ecossistema Límnico) and Marine Plain (ECO2 = Ecossistema Planície Marítima). The total ecosystem (ECO1 + ECO2) presented 64% of the class APP (Permanent Preservation Area), 27,6% of ACP (Permanent Conservation Area), 5,6% of AUO (Use and Occupation Area); in smaller percentage it was observed the class AR (Restoration Area) with 2,8%. The deterioration environmental average for the ECO1 was 10.32%, smaller that ECO2 (23.94%). The environmental deterioration of ESEC/TAIM (ECOTOTAL) was 13,65%. Regarding the regression analysis for ECO1, it was obtained a precision of 95%, with 06 environmental parameters whereas ECO2 with 04 environmental parameters obtained the same precision. With the factorial analysis it was possible to know the structure of the data, showing the correlations between each variable (exuberance classes) and its respective factor. However, it was not possible to separate groups or quantify the influence of one or more variables over another (answer variable), as for example: how many parameters are necessary to elaborate an environmental zoning; this question was answered by the regression analysis. It is recommended that the environmental zoning be elaborated by the public organizations in other ecological stations and conservation units.
机译:通过“ Taim生态站沼泽环境分区”评估了Taim生态站现有生态系统的环境恶化情况(ESEC / TAIM);里奥格兰德州和圣维托里亚·杜帕尔玛(RS)的市政区。考虑了两种类型的不同生态系统:沼泽地带(ECO1 = EcossistemaLímnico)和海洋平原(ECO2 = EcossistemaPlanícieMarítima)。整个生态系统(ECO1 + ECO2)占APP类(永久保护区)的64%,ACP(永久保护区)的27.6%,AUO(使用和占用区)的5.6%;在较小的百分比中,观察到的AR类(恢复区域)为2.8%。 ECO1的恶化环境平均值为10.32%,比ECO2(23.94%)小。 ESEC / TAIM(ECOTOTAL)的环境恶化率为13.65%。关于ECO1的回归分析,环境参数为06时,其精度为95%,而环境参数为04时,ECO2的精度相同。通过阶乘分析,有可能知道数据的结构,从而显示每个变量(繁荣类别)与其各自因子之间的相关性。但是,不可能将组分开或量化一个或多个变量对另一个变量的影响(答案变量),例如:制定环境分区需要多少个参数;回归分析回答了这个问题。建议由其他生态站和保护单位中的公共组织来制定环境分区。

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