不同气候类型和子类型的有机和传统农业系统之间的产量差距:一项荟萃分析

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Vera Ysabel V. de la Cruz , Tantriani , Weiguo Cheng , Keitaro Tawaraya
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引用次数: 0

摘要

上下文有机农业是一个快速发展的系统,被认为是一种有利于环境的整体方法。然而,之前的研究报告称,与传统农业系统相比,其生产力的结果各不相同。此外,气候条件对有机方法和传统方法之间产量差距的影响尚未得到广泛研究。考虑到温度和降水对土壤微生物活性的影响,土壤微生物活性驱动有机质的分解并支持植物有机质的矿化,我们假设有机农业系统和传统农业系统之间的产量差距受气候条件的影响;也就是说,气候变暖的地方应该比气候较冷的地方高。方法从105项比较有机农业和传统农业的研究中收集产量数据;786个成对观察结果主要来自先前的荟萃分析和个体研究。使用R软件中的荟萃分析,我们检查了两种农业系统在不同气候类型(北方、暖温带、干旱和赤道)和亚类型下的产量比,并进一步调查了其他影响因素,如作物类型、按地区研究的地点以及土壤pH和质地。结果和结论无论气候条件、作物类型和其他分类变量如何,有机农业的产量都比传统农业低18.4%(RR=0.83;95%置信区间为0.77至0.89;p=<;0.0001)。结果表明,只有暖温带气候对有机农业和传统农业系统之间的产量差距有显著影响,有机产量比传统农业低21.18%(RR=0.79;95%CI 0.71至0.87;p=<;0.0001;k=446)。然而,使用目前的数据很难估计与温度和降水量相关的可变性。在评估的分类变量中,发现特定的作物类型、地区和土壤显著影响产量差距。其他分析揭示了作物类型对产量差距的混杂影响,需要进一步调查。然而,这项研究表明,在确定有机农业和传统农业系统的产量和生产力变化时,考虑变量之间的相互作用至关重要。重要意义这项研究的结果初步了解了气候类型如何影响特定地理位置的两个农业系统的产量,为未来的研究提供了支持,这将为可持续农业的土地利用开发提供定量背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Yield gap between organic and conventional farming systems across climate types and sub-types: A meta-analysis

Yield gap between organic and conventional farming systems across climate types and sub-types: A meta-analysis

Context

Organic farming is a fast-growing system considered a holistic approach that benefits the environment. However, previous studies have reported varying results on its productivity when compared to conventional farming systems. Moreover, the effect of climatic conditions on the yield gap between organic and conventional methods has not been extensively studied.

Objectives

Considering the influence of temperature and precipitation on soil microbial activity that drives the decomposition of organic matter and supports the mineralization of organic matter for plants, we hypothesized that the yield gap between organic and conventional farming systems is affected by climatic conditions; that is, it should be higher in locations with warmer climates that those in colder climates.

Methods

Yield data were collected from 105 studies that compared organic and conventional farming; 786 pairwise observations were extracted mainly from previous meta-analyses and individual studies. Using meta-analysis in R software, we examined the yield ratio between the two farming systems in different climate types (boreal, warm temperate, arid, and equatorial) and sub-types, and further investigated other influencing factors such as crop type, study location by region, and soil pH and texture.

Results and conclusions

The yield of organic farming was 18.4% (RR = 0.83; 95% confidence interval of 0.77 to 0.89; p = < 0.0001) lower than that of conventional farming, regardless of climate condition, crop type, and other categorical variables. Results showed that only the warm temperate climate had a significant effect on the yield gap between organic and conventional farming systems, where organic yields were 21.18% lower than those of conventional farming (RR = 0.79; 95% CI 0.71 to 0.87; p = < 0.0001; k = 446). However, the variability associated with temperature and precipitation was difficult to estimate using the current data. Among the categorical variables evaluated, it was found that specific crop types, regions, and soils significantly influenced the yield gap. Additional analyses revealed a confounding crop-type effect on the yield gap that requires further investigation. Nevertheless, this study suggests that when determining variations in the yields and productivity of organic and conventional farming systems, it is critical to account for interactions between variables.

Significance

The results of this study offer a preliminary understanding of how the climate type affects the yield of the two farming systems in a particular geographic location, supporting future research that will provide a quantitative context to land use development for sustainable agriculture.

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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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