支持有效物种管理的室内动植物园内环境参数精确确定模型

León Latif Corral-Pesquera, J. García-Manchón, Pablo Morón-Elorza
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引用次数: 0

摘要

不仅在蔬菜生产设施和温室中,而且在动物园和植物园中,环境参数的详细评估可以成为蔬菜物种优化选择和定位的重要工具,这些植物园经常在条件变化显著的沉浸式展览中维护对环境要求严格的精致和外来植物物种。本研究在一个室内动物园(西班牙格拉纳达科学公园)开展,评估了一种采样方案,用于确定7个环境参数:使用便携式光量子SQ-500传感器在设施的9个不同位置确定每日光积分(DLI);使用固定ATMOS14传感器测量空气温度、大气压力和空气相对湿度;采用固定式TEROS12传感器测定土壤温度、土壤含水量和土壤电导率。记录的DLI值在9个不同采样点之间以及所有采样点的不同月份之间显示出统计学上显著的差异。在12个月的研究中,其他环境参数也存在显著变化,并且研究参数之间存在相关性,其中土壤温度与空气温度之间的相关性最强(rs = 0.758),土壤温度明显优于空气温度。本研究所描述的方法可以很容易地在类似的室内动物和植物设施中复制,增加了对环境条件的了解,并允许进行修正,以改善物种选择,定位和管理。
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A Model for Accurate Determination of Environmental Parameters in Indoor Zoological and Botanical Gardens Supporting Efficient Species Management
The detailed evaluation of environmental parameters can be a great tool for the optimal selection and location of vegetable species, not only in vegetable production facilities and greenhouses but also in zoological and botanical gardens, which frequently maintain delicate and exotic plant species with strict environmental requirements in immersive exhibits where conditions can vary remarkably. This study, developed at an indoor zoological garden (Biodomo—Parque de las Ciencias de Granada, Spain), evaluates a sampling protocol for the determination of seven environmental parameters: daily light integral (DLI) was determined at nine different locations of the facility using a portable Light Quantum SQ-500 sensor; air temperature, atmospheric pressure, and air relative humidity were measured using a fixed ATMOS14 sensor; and soil temperature, soil water content, and soil conductivity were determined using a fixed TEROS12 sensor. Values recorded for DLI showed statistically significant variations across the nine different sampling locations, as well as between the different months in all sampling spots. Significant variations were also detected across the 12 months of study for the rest of environmental parameters evaluated, and correlations were found between the studied parameters, with the correlation between soil and air temperature the strongest (rs = 0.758) and soil temperature significantly superior to air temperature. The methodology described in this study can be easily reproduced in similar indoor zoological and botanical facilities, increasing the knowledge of the environmental conditions, and allowing corrections that could improve species selection, location, and management.
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