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1 In conclusion, this study addressed the following recommendations for the scientific community and policymakers to orient future research strategies and efforts: a. The integration of all agrosystem services into sustainable management using an ecosystem + 1086 word(s) 1086 2020-04-21 10:57:46 |
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El Chami, D. Sustainable Agriculture. Encyclopedia. Available online: (accessed on 12 April 2024).
El Chami D. Sustainable Agriculture. Encyclopedia. Available at: Accessed April 12, 2024.
El Chami, Daniel. "Sustainable Agriculture" Encyclopedia, (accessed April 12, 2024).
El Chami, D. (2020, April 21). Sustainable Agriculture. In Encyclopedia.
El Chami, Daniel. "Sustainable Agriculture." Encyclopedia. Web. 21 April, 2020.
Sustainable Agriculture

In the last few decades, a great deal has been written on the use of sustainable agriculture to improve the resilience of ecosystem services to climate change. However, no tangible and systematic evidence exists on how this agriculture would participate in alleviating impacts on vulnerable rural communities. This entry provides a narrative systematic review (SR) integrated with a bibliometric analysis and a concept network analysis to determine how, in this changing climate, sustainable agriculture can increase the resilience of agrosystems. Our search ranged from the date of the first relevant article until the end of 2018.

systematic review sustainable agriculture climate change resilience agrosystems

1. Introduction

Sustainable agriculture is intended to increase the resilience of agrosystems to allow them to keep generating services even during extreme climate events[1][2]. To address this argument, this research has integrated multiple methods employing the ecosystem services framework adopted by the Millennium Ecosystem Assessment (MA), as described in the following sections.

Bibliometric Analysis

The Systematic Review (SR) protocol, which will be described in the next section, has been adopted for this analysis. The retrieved literature was exported into Mendeley (reference manager software). All the duplicate and spurious results were eliminated, and, before the relevance assessment, the bibliography was analyzed according to a list of indicators, including the source and type of documents, the year of publication, and the subject area. Bibliometric methods are now available in many scientific research methodologies[3] because of the value they add in data interpretation.

2. Concept Network Analysis

This research also integrated a network analysis[4][5][6], which has proven to be effective in text analysis. This method is based on a probabilistic assessment of word co-occurrence with relative word position, considering the structural properties of the text itself. This method graphically represents the network relationships between different keywords using qualitative and quantitative metrics[6].

The analysis was developed through different steps[6], beginning with the submission of the text to InfraNodus (, a Web-based analytical engine. First, the text was prepared by removing frequent words to bind it together. The Krovetz Stemmer algorithm then stems the remaining words to reduce their redundancy and complexity[7][8] and further normalizes the text before encoding. InfraNodus converts the submitted text into a network by performing a two-pass analysis. The graphical network can be used to represent the data visually using various software, such as Gephi for visualization and exploration[9].

3. Systematic Review Protocol

The Systematic Review (SR) methodology is described in the systematic review guidelines developed by the Collaboration for Environmental Evidence as a way to inform practice and policy in environmental management[10]. The formulation of the primary question is the most important aspect in an SR, which (according to Pullin et al.[11]) requires a compromise between different approaches: a holistic approach and a reductionist one. Therefore, the primary research question that covers all the aspects of sustainable agriculture and its role in building resilience to climate change is the following:

"How can Sustainable Agriculture Increase Resilience to Climate Change?”  

Following the systematic review conventions, this research question is broken down, as required by the Collaboration for Environmental Evidence (CEE) guidelines, into definable elements known as the PICO/PECO: a) the population (sustainable agriculture from the date of the first relevant publication onwards; however, this concept began to emerge in the 80s[12], so no location restrictions will be set because this concept could be applied to any agricultural system); b) interventions (interventions in the expansion of sustainable agriculture have been done since the 1980s, facilitating changes in natural and physical systems); c) comparators (sustainable agriculture versus conventional agriculture (Conventional agricultural systems are intensive mono-systems based on high input use.); and d) outcomes (resiliency parameters to climate change defined as the quantitative/qualitative changes in ecosystem services). The search terms used for this review were used to formulate different search keywords. A trial was undertaken on 18 September 2018 to refine the search terms using the Scopus database. One keyword was adopted for the systematic review after a discussion of the trial results with the co-authors and experts. This keyword was used to search the different scientific database sources, as well as the grey literature, which included only English publications.

All literature retrieved in the first step was screened for relevance according to the previously established inclusion criteria, which included a) relevant subjects (any country, any spatial scale); b) the type of intervention (sustainable management); c) comparators (which compare the benefits and/or impacts on natural and physical systems); d) methods (modeling, experiments, and surveys); e) outcomes (studies that consider the benefits/impacts on terrestrial and aquatic ecosystems, hydrology and water resource management, the natural environment, food and fiber production and security, immigration, poverty, human health, human infrastructure, and economic loss).

4. Results 

Several observations have emerged from the results of this systematic review. Next, we discuss the observations and make some recommendations for the scientific community and policymakers in sustainable agriculture-related areas.

Sustainability is a three-dimensional model that requires a change in practice to contravene disciplinary boundaries, thereby realizing transdisciplinarity[13], which represents a step forward for interdisciplinarity towards full integration. This goal is far from being achieved, according to Brandt[14], and this review has further demonstrated that, in agriculture, we have not yet reached a level of interdisciplinarity where the knowledge and methods from different disciplines are unified into a synthetic approach.

The results confirm that different management aspects are commonly studied separately, which means that the literature has not studied sustainable agriculture as a whole but merely some practices and technologies that participate in sustainable agriculture, mainly through the improvement of system biodiversity and ecosystem services. To cope with the challenges of sustainable agriculture, changes in management strategies must be based on the integration of all management categories to produce a unique management method for agrosystems that accounts for soils, water, crops, genetics, the landscape, biodiversity, and knowledge and uses unified quantitative methods for evaluation and assessment.

The ecosystem-based approach described earlier in the paper is the most effective tool to achieve integration for the sustainable management of agrosystems under climate change because it is based on the management of all ecosystem processes and services, thereby improving the ability of crops to maintain their yields[15]. This is to be done on a life cycle basis and has been successfully applied in the literature to agro-food systems (e.g., [16]) because it considers the interactions between resource use and potential impacts on biodiversity[17]. Finally, climate change impacts and resilience of agrosystems are highly dependent on local conditions (environmental, socio-economic, and management), which complicates the process of quantifying sustainable agriculture[18].

How Can Sustainable Agriculture Increase Climate Resilience? A Systematic Review


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