Urban agriculture as a biodiversity conservation environment for edaphic fauna in the West Zone of the municipality of Rio de Janeiro, Brazil

IF 3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Maria João Ferreira Carneiro dos Santos Pires, Stéfanny Aparecida Ribeiro, Liliane de Sousa Ferreira, Luiz Fernando de Sousa Antunes, Mariella Camardelli Uzeda, Maria Elizabeth Fernandes Correia
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引用次数: 0

Abstract

Agroecological urban agriculture areas are remnants of biodiversity and provide ecosystem services for urbanized areas, as well as being important alternatives for food security and income generation. The aim of this work was to assess the capacity of these areas to shelter soil fauna, contributing to their conservation in the urban environment. It also aimed to assess which soil attributes and landscape features most interfere with the occurrence and abundance of these soil invertebrates. Fifteen areas were selected in the neighborhoods of Campo Grande and Vargem Grande, in the West Zone of the municipality of Rio de Janeiro, making up a gradient of different plantations and forest areas. In each area, a transect was established with three sampling points 5 m apart, where the soil mesofauna was sampled with a specific auger, collecting litter and soil up to 10 cm. Earthworms were sampled using the TSBF method at a depth of 0–10 cm. Soil samples were collected at each fauna sampling point, at the same depth, for routine analysis of soil fertility and texture. The data was analyzed using multivariate techniques, first using principal component analysis (PCA) to select soil attributes representing the local scale of influence and percentages of landscape features. The percentages of landscape features were measured using two buffers around the sampling area, 500 m and 250 m. A multidimensional scaling (NMDS) analysis was carried out to select the fauna groups with the greatest representativeness and degree of response to environmental factors. Environmental factors at the local scale and at the 500 m and 250 m scales were determined using generalized linear model (GLM) analysis, through which it was possible to select models composed of variables that determine the occurrence and density of the different groups of fauna selected. The most abundant groups were Acari, Collembola Entomobryomorpha, and Formicidae. In the crop areas, Acari was dominant, while in the forest area used as a reference Entomobryomorpha was more abundant. On a local scale, pH was the most common factor in the models, often with a negative sign, showing an inverse relationship between the pH value and the density of the fauna group. This result suggests that pH is a good indicator for correlations with soil mesofauna and earthworms. The 250 m models were able to select groups with a greater affinity for crops and highly anthropized areas. In conclusion, it was observed that these areas are capable of maintaining an abundant and diverse community of soil fauna.

城市农业作为巴西巴西里约热内卢市西部地区土壤动物的生物多样性保护环境
农业生态城市农业区是生物多样性的残余,为城市化地区提供生态系统服务,也是粮食安全和创收的重要替代方案。这项工作的目的是评估这些地区庇护土壤动物的能力,促进它们在城市环境中的保护。它还旨在评估哪些土壤属性和景观特征对这些土壤无脊椎动物的发生和丰富程度影响最大。在巴西里约热内卢市西区的Campo Grande和Vargem Grande社区选择了15个区域,构成了不同种植园和森林区域的梯度。在每个区域,建立了一个样带,每个样带有三个相距5米的采样点,在那里用特定的螺旋钻取样土壤中系动物,收集10厘米深的凋落物和土壤。采用TSBF法在0 ~ 10 cm深度取样蚯蚓。在同一深度的每个动物采样点采集土壤样品,用于常规土壤肥力和质地分析。对数据进行多变量分析,首先使用主成分分析(PCA)来选择代表当地影响尺度和景观特征百分比的土壤属性。在采样区周围500 m和250 m的两个缓冲区测量景观特征的百分比。采用多维标度(NMDS)分析方法筛选最具代表性和对环境因子响应程度最大的动物群。利用广义线性模型(GLM)分析确定了局地尺度、500 m和250 m尺度上的环境因子,从而可以选择由变量组成的模型来决定所选动物群的发生和密度。最丰富的类群是蜱螨、弹虫目和蚁科。在作物区以蜱螨为主,而作为参考的林区昆虫苔藓类较为丰富。在局部尺度上,pH值是模型中最常见的因素,通常带有负号,表明pH值与动物群密度之间呈反比关系。这一结果表明pH值是土壤中系动物和蚯蚓相关性的一个很好的指标。250 m模型能够选择与作物和高度人类化地区有更大亲和力的群体。综上所述,这些地区能够保持丰富多样的土壤动物群落。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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