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A systematic review on whether regenerative agriculture improves animal welfare: A qualitative analysis with a One Welfare perspective

Published online by Cambridge University Press:  25 April 2023

Matías Javier Hargreaves-Méndez
Affiliation:
Laboratório de Etologia Aplicada e Bem-Estar Animal (LETA), Departamento de Zootecnia e Desenvolvimento Rural, Universidade Federal de Santa Catarina. Rod. Admar Gonzaga, 1346, Itacorubi, 88034-001, Florianópolis, SC, Brazil
María José Hötzel*
Affiliation:
Laboratório de Etologia Aplicada e Bem-Estar Animal (LETA), Departamento de Zootecnia e Desenvolvimento Rural, Universidade Federal de Santa Catarina. Rod. Admar Gonzaga, 1346, Itacorubi, 88034-001, Florianópolis, SC, Brazil
*
Corresponding author: María José Hötzel; Email: [email protected]
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Abstract

The welfare of animals in food-production systems is a cause of concern to the public. Regenerative agriculture was first used by the Rodale Institute and proposes to regenerate degraded components of ecosystems, aiming to be more than just sustainable. However, despite animal welfare being pushed to be part of the SDG agenda for 2030, there is no clarity on how regenerative agriculture impacts animal welfare. It is challenging to determine regenerative agriculture impacts on animal welfare, since it is not entirely defined. One Welfare could help define entry points for future research by studying animal welfare in connection with human welfare and environmental conservation. We aimed to analyse the extent to which positive animal welfare outcomes characterise regenerative agriculture systems in peer-reviewed articles and whether the narratives of such articles support that regenerative agriculture promotes animal welfare directly or indirectly by improving human welfare and environmental conservation. We searched papers including ‘regenerative agriculture’ using PRISMA-P, selecting animal welfare, human welfare, environment conservation terms, developed themes, and carried out analysis using Atlas.Ti8 and Causal Loop Diagram. We found that papers mainly linked animal welfare to animal health, human welfare to financial farm status and farmer’s self-awareness, and environmental conservation to soil improvement. Causal Loop Diagram indicated that regenerative agriculture had the potential to improve the health and nutrition components of animal welfare by enhancing financial farmers’ status/self-awareness (human welfare), and the soil (environmental conservation), reflecting that the processes that affect human welfare and environmental conservation could also affect animal welfare. However, information in papers remains insufficient to determine how regenerative agriculture impacts on animal welfare and research into regenerative agriculture needs to extend its focus on animal welfare and elucidate the regenerative agriculture principles leading to animal welfare.

Type
Systematic Review
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© Universidade Federal de Santa Catarina, 2023. Published by Cambridge University Press on behalf of The Universities Federation for Animal Welfare

Introduction

By 2030 the global human population will have reached 8.6 billion people (United Nations 2019) and an estimated 815 million people are already prone to undernutrition in 2020 (Lal Reference Lal2020a), a scenario that has been aggravated by the COVID-19 pandemic and climate change. Predicted numbers of refugees due to economic and climate change reasons are uncertain, with values between 50 and 250 million by 2050 (Burrows & Kinney Reference Burrows and Kinney2016; Food and Agriculture Organisation of the United Nations 2021). There is a general need to revise our food production systems, seeking greater sustainability (Broom Reference Broom2019), given that agriculture has been proven to be a significant contributor to exceeding planetary boundaries (Foley et al. Reference Foley, DeFries, Asner, Barford, Bonan, Carpenter, Chapin, Coe, Daily, Gibbs, Helkowski, Holloway, Howard, Kucharik, Monfreda, Patz, Prentice, Ramankutty and Snyder2005; Steffen et al. Reference Steffen, Richardson, Rockström, Cornell, Fetzer, Bennett, Biggs, Carpenter, De Vries, De Wit, Folke, Gerten, Heinke, Mace, Persson, Ramanathan, Reyers and Sörlin2015; Campbell et al. Reference Campbell, Beare, Bennett, Hall-Spencer, Ingram, Jaramillo, Ortiz, Ramankutty, Sayer and Shindell2017). Rhodes (Reference Rhodes2017) has explained that new alternatives for producing food should aim to actively regenerate ecosystems, instead of merely sustaining an ecosystem that may already be in a state of degradation.

Regenerative agriculture was coined by the Rodale Institute in the 1980s and regained popularity in 2016 amongst practitioners and scientists (Giller et al. Reference Giller, Hijbeek, Andersson and Sumberg2021). Regenerative agriculture uses a systems thinking approach and proposes a set of principles that aim to restore the resource base of ecosystems and can help farmers to deal with complexity (Jones Reference Jones2003; Mann et al. Reference Mann, Parkins, Isaac and Sherren2019). However, regenerative agriculture is mainly measured by the outcomes it generates, such as fertile soil, improved biodiversity, carbon sequestration, and other ecosystem indicators (Xu et al. Reference Xu, Rowntree, Borrelli, Hodbod and Raven2019; Newton et al. Reference Newton, Civita, Frankel-Goldwater, Bartel and Johns2020). This focus on outcomes has been challenging the research on regenerative agriculture, generating a lack of scientific consensus about the set of principles or processes that would lead to such outcomes. Some of these outcomes are more well-documented scientifically, particularly the ones related to soil improvement (Xu et al. Reference Xu, Rowntree, Borrelli, Hodbod and Raven2019; Schreefel et al. Reference Schreefel, Schulte, de Boer, Schrijver and van Zanten2020), and other outcomes, such as the ones associated with the social sciences, are gaining momentum in the regenerative agriculture literature (Gosnell et al. Reference Gosnell, Gill and Voyer2019; Brown et al. Reference Brown, Schirmer and Upton2021; Gosnell Reference Gosnell2021). While the Rodale Institute includes in their Regenerative Organic certification the improvement of soil health, human welfare and animal welfare (Alliance 2021), the information in scientific sources seems scattered and unclear. In their literature reviews, Giller et al. (Reference Giller, Hijbeek, Andersson and Sumberg2021) define regenerative agriculture as an approach aiming to combine agroecology and sustainable intensification to face land degradation, whereas Schreefel et al. (Reference Schreefel, Schulte, de Boer, Schrijver and van Zanten2020) define it as an approach that uses soil conservation as the starting point to regenerate and contribute to ecosystem services. Additionally, other authors described principles for regenerative agriculture, such as: (i) abandoning tillage; (ii) reducing spatial-temporal events of bare soil; (iii) enhancing soil fertility; (iv) diversifying cropping systems with livestock integration; (v) increasing biodiversity; (vi) increasing carbon sequestration; and (vii) reducing or eliminating synthetic agrichemicals (Rhodes Reference Rhodes2017; Elevitch et al. Reference Elevitch, Mazaroli and Ragone2018; LaCanne & Lundgren Reference LaCanne and Lundgren2018; Newton et al. Reference Newton, Civita, Frankel-Goldwater, Bartel and Johns2020; Luján Soto et al. Reference Luján Soto, Martínez-Mena, Cuéllar Padilla and de Vente2021; Lundgren et al. Reference Lundgren, Fenster, LaCanne, Pecenka, Schmid, Bredeson, Busenitz, Michels and Welch2021).

In the scientific literature, regenerative agriculture seems to focus on environmental conservation outcomes related to soil enhancement, biodiversity improvement, and increasing carbon sequestration (Xu et al. Reference Xu, Rowntree, Borrelli, Hodbod and Raven2019; Newton et al. Reference Newton, Civita, Frankel-Goldwater, Bartel and Johns2020; Giller et al. Reference Giller, Hijbeek, Andersson and Sumberg2021), while there is a lack of mentions of animal welfare. A similar situation happens with sustainable agriculture, which has focused on its main components (environmental, economic, and social) leaving animal welfare components unattended (von Keyserlingk et al. Reference von Keyserlingk, Martin, Kebreab, Knowlton, Grant, Stephenson, Sniffen, Harner, Wright and Smith2013; Von Keyserlingk & Hötzel Reference von Keyserlingk and Hötzel2015). Moreover, a system could be considered sustainable when its present and future effects are acceptable to the general public (Broom Reference Broom2016, Reference Broom2017). Therefore, by neglecting animal welfare, both sustainable and ‘more than sustainable’ initiatives could compromise its social licence to operate since there is a growing public concern about farm animal welfare in food production systems (Clark et al. Reference Clark, Stewart, Panzone, Kyriazakis and Frewer2016; Cornish et al. Reference Cornish, Raubenheimer and McGreevy2016; Hötzel & Vandresen Reference Hötzel and Vandresen2022). Regenerative agriculture, as a more-than-just-sustainable and incipient initiative, should address this gap and make explicit its impacts to the welfare of animals, and show evidence of the potential positive animal welfare, human welfare, and environment outcomes. Without this evidence, a system should not be considered regenerative (Alliance 2021). Broom (Reference Broom2021) proposed a method for assessing sustainability, finding that semi-intensive silvopastoral beef production systems are the more sustainable. These systems could not achieve this sustainability status without society’s acceptance, particularly concerning animal welfare. There are two main reasons for considering the impacts on animal welfare. Firstly, animal welfare has multiple relevant relationships with the Sustainable Development Goals from the United Nations (Keeling et al. Reference Keeling, Tunón, Olmos Antillón, Berg, Jones, Stuardo, Swanson, Wallenbeck, Winckler and Blokhuis2019), and the scientific community is pushing governments to consider animal welfare as an integral part of these goals’ agenda for 2030 (e.g. Sebo et al. Reference Sebo, Verkuijl, Hötzel, Achakulwisut, Lima and Green2022). Secondly, regenerative agriculture can ensure public support. A recent study mentions animal welfare as a well-established on-farm benefit of regenerative agriculture (Spratt et al. Reference Spratt, Jordan, Winsten, Huff, van Schaik, Jewett, Filbert, Luhman, Meier and Paine2021). While Spratt et al. (Reference Spratt, Jordan, Winsten, Huff, van Schaik, Jewett, Filbert, Luhman, Meier and Paine2021) do not provide methodological details about how to improve animal welfare comprehensively in regenerative agriculture, the mere mention of animal welfare reflects that the authors are giving a potential relevance to include animal welfare in regenerative agriculture studies.

Human welfare elements also seem understudied in the scientific literature about regenerative agriculture. Newton et al. (Reference Newton, Civita, Frankel-Goldwater, Bartel and Johns2020) found in journal articles that improved human health and profitability are possible outcomes of regenerative agriculture, but such articles provided no methodological details. According to the Human Development Index’s (HDI) dimensions from the United Nations (2020), human welfare is the capacity of a human to have a long and healthy life, knowledge, and a decent economic standard of living. Moreover, Diener et al. (Reference Diener, Oishi and Tay2018) and Brown et al. (Reference Brown, Schirmer and Upton2021) describe that the assessment of human welfare should also consider measurements of subjectiveness, such as biological/temperament theories, satisfaction of goals theories, and mental-state theories for a more comprehensive understanding of human welfare.

One Welfare is a framework that can help determine how regenerative agriculture studies include the improvement of animal welfare in their narratives. Some studies might include elements of animal welfare explicitly (e.g. measurements or actions whose priority is to improve animal welfare), while others can include elements that could result in benefits for the animals, such as those related to human welfare and environment conservation. The One Welfare framework proposes that animal welfare should be studied from a systems-thinking approach in connection with human welfare and environmental conservation to achieve global-sustainable welfare (García Pinillos Reference García Pinillos2018). A systems-thinking approach could, firstly, uncover unseen relations between animal welfare, human welfare, and environmental conservation in regenerative agriculture narratives that could serve as entry points from where to start working on animal welfare goals. Secondly, it could identify how relevant papers documenting so-called regenerative agriculture are excluding fundamental elements for assessing animal welfare and human welfare.

The objective of this study was to analyse the extent to which positive animal welfare outcomes characterise so-called regenerative agriculture systems in peer-reviewed articles and whether the narratives of these articles support that regenerative agriculture promotes animal welfare directly or indirectly by improving human welfare and environment conservation.

Materials and methods

Inclusion of the One Welfare categories in peer-reviewed articles about regenerative agriculture

We searched peer-reviewed papers that included the words ‘regenerative agriculture’ from 1969 to 2021 to find inclusions of animal welfare, human welfare, and environmental conservation terms. We defined terms as any mention in the full text of the reviewed papers that combined empirical data, deductions from the authors, and potential outcomes (or benefits derived from processes) that the authors considered to be part of the impacts of regenerative agriculture. We did this to acknowledge that the literature is inconsistent in the usage of the word regenerative, and therefore whatever application of the concept needs to address a range of interpretations. In this study, we selected papers that explicitly mentioned regenerative agriculture in their full texts. To search and select the papers, we used the methodological framework PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-analysis Protocols) (Pahlevan Sharif et al. Reference Pahlevan Sharif, Mura and Wijesinghe2019; Page et al. Reference Page, Moher, Bossuyt, Boutron, Hoffmann, Mulrow, Shamseer, Tetzlaff, Akl, Brennan, Chou, Glanville, Grimshaw, Hróbjartsson, Lalu, Li, Loder, Mayo-Wilson, Mcdonald and Mckenzie2021). We used Scopus and Web of Science databases for regenerative agriculture in September 2021. The decision to use Scopus and Web of Science was based upon the higher number of results for ‘regenerative agriculture’ compared to other databases. To orient our search in the databases, we expanded the search words proposed by Schreefel et al. (Reference Schreefel, Schulte, de Boer, Schrijver and van Zanten2020): ‘([‘regenera* agri*’ OR ‘regenera* farm*’] OR [‘regenera* agro*’] OR [‘regenera* food system’] OR [‘regenera* and feed system’] OR [‘regenera* system’ AND agri*])’ (Schreefel et al. Reference Schreefel, Schulte, de Boer, Schrijver and van Zanten2020). We added Holistic Management search words (‘Holis* manage*’ AND graz*). We set the databases’ configuration to look for the inclusion of these search words in the title, abstract and/or keywords of peer-reviewed articles. We decided to exclude the animal welfare, human welfare and environmental conservation terms from the search words to avoid limiting the number of papers. This decision was based on a previous search in the Scopus database using regenerative agriculture, animal welfare, human welfare, and environmental conservation search words together (in the title, abstract, or keywords), and finding only one eligible paper after screening. Thus, we searched for animal welfare, human welfare, and environment conservation terms within the regenerative agriculture papers’ full text for the qualitative analysis.

Animal welfare

We divided the animal welfare information into categories to orient the search in the full-text screening, based on the Five Domains model adapted by Mellor et al. (Reference Mellor, Beausoleil, Littlewood, McLean, McGreevy, Jones and Wilkins2020). The animal welfare terms were divided depending on their relations to the domains Nutrition, Environment, Health, Behaviour, or Mental States. We decided to do this categorisation to determine if the animal welfare terms in the papers were focused on a specific domain. We used this model because it includes, in addition to the physical/functional domains (i.e. Nutrition, Environment, Health, Behaviour), elements to assess positive and negative affective experiences, which would expand the range of potential terms when searching in the full text. We associated the terms to the Five Domains, relating each term to the physical/functional and affective experience domains.

Human welfare

The One Welfare framework defines and assesses the welfare of human and non-human animals in the same way, so measurements could be beneficial for both. In this study we used the terminology welfare, instead of well-being, when referring to human welfare, mainly because welfare and well-being concepts mean essentially the same and refer to individuals (Tarazona et al. Reference Tarazona, Ceballos and Broom2020). We revised the human welfare information and classified it into terms. We used the Human Development Index’s (HDI) dimensions from the United Nations (2020), which describes three core dimensions for human welfare: long and healthy life, knowledge, and a decent standard of living. We complemented the HDI with the subjective well-being model by Diener et al. (Reference Diener, Oishi and Tay2018), which uses theoretical processes to understand subjective welfare: biological/temperament theories, the satisfaction of goals theories, and mental-state theories. The biological/temperament theories explain how genetics influence that some people are happier than others, and the satisfaction of goals theories explain that people will be satisfied with their lives if their goals are completed. The mental-state theories describe cognitive and attentional processes that determine happiness depending on the individual’s perception and comparison with reference points. For example, Diener et al. (Reference Diener, Oishi and Tay2018) showed an example of two people with the same income that could have different happiness levels depending on their previous economic standards and reference points. We associated the human welfare terms with the HDI dimensions and the subjective welfare model. Finally, we conducted our own interpretation of whether each term was ‘likely to improve human welfare.’ We did this by connecting the values from the HDI dimensions and the subjective welfare to a hedonic and eudaimonic subjective welfare. Hedonic subjective welfare relates to feeling pleasure, and it can be explained through emotional responses of people towards their own life, while eudaimonic subjective welfare focuses on how worthwhile people perceive their occupations to be (Brown et al. Reference Brown, Schirmer and Upton2021). Then we created three classifications: (i) likely to improve human welfare; (ii) likely to reduce human welfare; or (iii) unclear.

Environmental conservation

We oriented the full-text screening for environment conservation terms based on the One Welfare element ‘Livestock role in sustainable production’, and one of the principles of regenerative agriculture’s definitions: the integration of livestock (Rhodes Reference Rhodes2017; Elevitch et al. Reference Elevitch, Mazaroli and Ragone2018; LaCanne & Lundgren Reference LaCanne and Lundgren2018; Lundgren et al. Reference Lundgren, Fenster, LaCanne, Pecenka, Schmid, Bredeson, Busenitz, Michels and Welch2021; Luján Soto et al. Reference Luján Soto, Martínez-Mena, Cuéllar Padilla and de Vente2021). As a result, we selected studies that: (i) included livestock; and (ii) mentioned a specific role of livestock in environmental conservation. We expected to find terms related to the livestock production impacts that are common in the literature, such as water pollution/utilisation and land utilisation (Broom Reference Broom2019), carbon footprint and greenhouse gases emissions (Herrero et al. Reference Herrero, Gerber, Vellinga, Garnett, Leip, Opio, Westhoek, Thornton, Olesen, Hutchings, Montgomery, Soussana, Steinfeld and McAllister2011; Cheng et al. Reference Cheng, McCarl and Fei2022), carbon sequestration (Mosier et al. Reference Mosier, Apfelbaum, Byck, Calderon, Teague, Thompson and Cotrufo2021), improved biodiversity (Gravuer et al. Reference Gravuer, Gennet and Throop2019), increased animal welfare (Spratt et al. Reference Spratt, Jordan, Winsten, Huff, van Schaik, Jewett, Filbert, Luhman, Meier and Paine2021), improved soil health (Schreefel et al. Reference Schreefel, Schulte, de Boer, Schrijver and van Zanten2020).

Qualitative analysis

We expected that the papers could provide terms for more than one category when included in the qualitative analysis: (i) animal welfare; (ii) human welfare; and (iii) environment conservation.

The database search gave 427 results to our search terms combined. We screened these papers’ abstracts, titles, and keywords (no automation tools) and kept 93. The decision was made based on eligibility criteria, excluding duplicates, unavailable materials, non-peer-reviewed materials, articles in languages other than English, and papers unrelated to regenerative agriculture (Figure 1). We screened the full text of the 93 papers and excluded 20 that did not provide any animal welfare, human welfare or environmental conservation terms. We included 73 papers in the review for further qualitative analysis. The final 73 were classified into papers that provided terms for animal welfare, human welfare, and environmental conservation. Some papers provided terms for more than one category. We found animal welfare terms in 27 papers, human welfare terms in 40 papers, and environmental conservation terms in 66 papers. The 73 selected papers covered a range of species (cattle and dairy cows, sheep, and goats), mostly using the word livestock, without specifications. The 73 papers aimed to investigate the various impacts of regenerative agriculture. The majority of the papers were based in the USA (46.2% of the total materials), followed by Australia (12.9%), Canada (9.7%), and the UK (8.6%).

Figure 1. Flow chart for the identification of studies via databases and records. Adapted from PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analysis) (Pahlevan Sharif et al Reference Pahlevan Sharif, Mura and Wijesinghe2019, Page et al Reference Page, Moher, Bossuyt, Boutron, Hoffmann, Mulrow, Shamseer, Tetzlaff, Akl, Brennan, Chou, Glanville, Grimshaw, Hróbjartsson, Lalu, Li, Loder, Mayo-Wilson, Mcdonald and Mckenzie2021). The discrepancy between the number of materials included by One Welfare categories (animal welfare, human welfare, and environment conservation) and the total number of materials included for qualitative analysis is explained by some materials providing terms for more than one One Welfare category.

We clustered the terms, created themes according to their main topic, and conducted a qualitative analysis. We used the statistical tool Atlas.ti 8 to categorise and compare terms from the qualitative analysis.

Interconnections between One Welfare categories to depict a potential benefit for animal welfare

We conducted a comparative analysis of the primary themes about animal welfare, human welfare and environment conservation, using a systems-thinking approach and the Causal Loop Diagrams tool, following the guidelines proposed by Haraldsson (Reference Haraldsson2004). Causal Loop Diagrams are visual representations of critical variables, which help explore complex scenarios by uncovering variables that previous analyses might not have considered (Schlindwein & Ison Reference Schlindwein and Ison2020). We used Causal Loop Diagrams to expose interconnections and potential cause-effect relations between the three One Welfare categories within a regenerative agriculture system. These interconnections can depict underlying entry points that could ultimately benefit animal welfare. We gathered the most relevant results from each One Welfare category’s analysis and built a Causal Loop Diagram (Haraldsson Reference Haraldsson2004). We connected potential cause-effect relations of implementing a regenerative agriculture system, combining the relevant results per each One Welfare category and appropriate scientific literature to support the connections.

Results

Inclusion of the One Welfare categories in peer-reviewed papers about regenerative agriculture

The results of the research and the selection process, as well as the explanation for all excluded materials are presented in Figure 1.

Animal welfare terms in regenerative agriculture

We found animal welfare terms in 27 papers, with a predominance of terms such as animal welfare, low stress, veterinary expenses, food quantity and quality, healthy, nutritional status, and calf mortality (Figure 2). These terms represent the central animal welfare concepts addressed by the authors in the papers about regenerative agriculture.

Figure 2. Word cloud (ATLAS.ti 8) for animal welfare terms selected from regenerative agriculture peer-reviewed papers.

We found that all of the animal welfare terms that we selected in the papers can be related to the physical and functional domains (Mellor et al. Reference Mellor, Beausoleil, Littlewood, McLean, McGreevy, Jones and Wilkins2020), mainly to the Health domain, and less terms were connected to the Nutrition, Environment, and Behaviour domains. We found no information in the papers about the affective experience domain (Mellor et al. Reference Mellor, Beausoleil, Littlewood, McLean, McGreevy, Jones and Wilkins2020). Using the Five Domains model, we built a map to highlight the potential links between the selected terms (physical and functional domains) to the associated mental state (affective experience domain) (Figure 3). We found that the majority of the selected terms could be associated to positive mental states, and only a few could be associated to negative mental states. The most frequent positive mental state was comfort of good health and high functional capacity, which is associated to the Health domain, and Mellor et al. (Reference Mellor, Beausoleil, Littlewood, McLean, McGreevy, Jones and Wilkins2020) define as a positive mental state, as a consequence of experiencing few or complete absence of disease, injury, functional impairment, or poisoning, and the presence of good body condition and fitness level.

Figure 3. Map of the potential mental states from terms. 45 Animal welfare terms selected from 27 papers and connected to the potential mental states they could be generating. We classified these 45 terms according to the Physical/Functional Domains, 1. Nutrition, 2. Environment, 3. Health, and 4. Behaviour, and connected the animal welfare terms to their potentially generated mental state, provided by Mellor et al (Reference Mellor, Beausoleil, Littlewood, McLean, McGreevy, Jones and Wilkins2020).

Human welfare terms in regenerative agriculture

From 40 papers, we selected 116 terms relating regenerative agriculture and human welfare. After selecting the terms, we connected each term to the Human Development Index’s (HDI) dimensions from the United Nations (2020) and to a subjective welfare model (Diener et al. Reference Diener, Oishi and Tay2018). Then we connected the terms with the hedonic and eudaimonic subjective welfare (Brown et al. Reference Brown, Schirmer and Upton2021), and we classified 34 terms under the label ‘likely to improve human welfare’, which means that these terms could be potentially favourable to human well-being. We looked for potential connection between these 34 terms and the hedonic and eudaimonic subjective welfare together. In Figure 4, we indicate that, regarding the Human Development Index’s (HDI) dimensions, the majority of these 34 terms were connected to a decent standard of living or financial satisfaction for the farmers engaging with regenerative agriculture. Regarding the subjective welfare model, the majority of these 34 terms were related to the mental-state theories, which describes the farmer’s perception of self-welfare when compared to a previous situation, neighbours, peers, or relatives (Diener et al. Reference Diener, Oishi and Tay2018).

Figure 4. Frequency of terms that are likely to improve both hedonic and eudaimonic subjective welfare (Brown et al Reference Brown, Schirmer and Upton2021). For the HDI dimensions, in the blue columns, the terms are more related to a decent standard of living. For the subjective welfare theories, in the green columns, the terms are more related to the mental-state theories (Diener et al Reference Diener, Oishi and Tay2018).

Livestock role in environment conservation

In the 66 papers for this category, we selected 202 terms that included livestock and mentioned a specific role of livestock in environmental conservation. We clustered the terms into nine themes (see Table 1).

Table 1. Themes developed for the environment conservation category

The theme that held the majority of terms was soil improvement, implying that the primary interpretation the authors of the papers give to the role of livestock is related to improving the soil (i.e. soil health, soil fertility, and soil water holding capacity) (Figure 5). We did not find a significant number of terms related to other environmental measurements, such as water pollution/usage, land utilisation, carbon footprint, greenhouse gas emissions.

Figure 5. Percentage of terms related to the environment conservation themes (EPB: Environmental productive benefits).

Interconnections between One Welfare categories to depict a potential benefit for animal welfare

With the Causal Loop Diagram (Figure 6), built from the analysis’ results for the three One Welfare categories, we present a complex scenario where we identified three reinforcement loops that emphasise potential benefits to animal welfare: (i) soil improvement provides better quality and quantity of forage (Teague & Barnes Reference Teague and Barnes2017; Huruba et al. Reference Huruba, Mlambo, Mundy, Sebata and MacFadyen2018; Pecenka & Lundgren Reference Pecenka and Lundgren2019), leading to animal comfort of good health and high functional capacity, a positive mental state from the Health domain; to gastrointestinal health and to pleasures of different tastes and smell (positive mental states from the Nutrition domain) (Provenza et al. Reference Provenza, Kronberg and Gregorini2019; Mellor et al. Reference Mellor, Beausoleil, Littlewood, McLean, McGreevy, Jones and Wilkins2020). Healthier and well-nourished animals perform better to enhance ecosystem functioning (Savory & Butterfield Reference Savory and Butterfield2017; de Haas et al. Reference de Haas, Hoekstra, van der Schoot, EJW, de Kroon and van Eekeren2019; Kleppel Reference Kleppel2020; Mellor et al. Reference Mellor, Beausoleil, Littlewood, McLean, McGreevy, Jones and Wilkins2020), thus reinforcing the improvement of the soil (Savory & Butterfield Reference Savory and Butterfield2017; Lal Reference Lal2020b); (ii) when welfare improvements are delivered alongside health and productivity improvements, farms can be more profitable (Broom et al. Reference Broom, Galindo and Murgueitio2013, Tarazona et al. Reference Tarazona, Ceballos and Broom2020, Villettaz Robichaud et al. Reference Villettaz Robichaud, Rushen, de Passillé, Vasseur, Orsel and Pellerin2019), improving the financial standard of living (United Nations 2020) and, thus, farmers’ hedonic subjective welfare (Figure 4). An improvement in hedonic subjective welfare brings on better life satisfaction for farmers, which can build a positive human-animal relationship over time (Burton et al. Reference Burton, Peoples and Cooper2012), thus reinforcing positive animal welfare effects due to farmers treating animals better than before; (iii) More productive and profitable farms make farmers aware that they are in a better financial situation than before, improving the eudaimonic subjective welfare related to the worthwhileness, the perception of a life worth living (Diener et al. Reference Diener, Oishi and Tay2018; Figure 4). Farmers’ awareness that their agricultural actions are worthwhile is positively related to better motivations to continue implementing regenerative agriculture, which will also reinforce the previous feedbacks (Gosnell et al. Reference Gosnell, Gill and Voyer2019; Brown et al. Reference Brown, Schirmer and Upton2021; Gosnell Reference Gosnell2021). Additional causal relations indicate that regenerative agriculture can contribute to the behavioural domain of animal welfare. Firstly, regenerative agriculture ensures access to outdoor pastures that meet animals’ ethological needs (Pinheiro Machado Filho et al. Reference Pinheiro Machado Filho, Seó, Daros, Enriquez-Hidalgo, Wendling and Pinheiro Machado2021). Secondly, regenerative agriculture has been associated with training practitioners in low-stress livestock handling (Gosnell Reference Gosnell, Gill and Voyer2019), which can lead to less animal stress (Grandin Reference Grandin1999).

Figure 6. Causal Loop Diagram of the potential causes-effects of implementing a regenerative agriculture system, based on the review’s results. The word Delay represents an action from a causal relationship that takes longer than actions from other causal relationships. (1: Huruba et al Reference Huruba, Mlambo, Mundy, Sebata and MacFadyen2018, 2: Pecenka & Lundgren Reference Pecenka and Lundgren2019 3: Teague & Barnes Reference Teague and Barnes2017, 4: Mellor et al Reference Mellor, Beausoleil, Littlewood, McLean, McGreevy, Jones and Wilkins2020, 5: Savory & Butterfield Reference Savory and Butterfield2017, 6: Lal 2020, 7: Tarazona et al 2018, 8: Broom et al Reference Broom, Galindo and Murgueitio2013, 9: Villettaz Robichaud et al Reference Villettaz Robichaud, Rushen, de Passillé, Vasseur, Orsel and Pellerin2019, 10: United Nations 2020, 11: Burton et al Reference Burton, Peoples and Cooper2012, 12: Rault et al Reference Rault, Waiblinger, Boivin and Hemsworth2020, 13: Diener et al Reference Diener, Oishi and Tay2018, 14: Brown et al Reference Brown, Schirmer and Upton2021, 15: Gosnell Reference Gosnell2021, 16: Gosnell et al Reference Gosnell, Gill and Voyer2019, 17: Kleppel Reference Kleppel2020, 18: Provenza et al Reference Provenza, Kronberg and Gregorini2019, 19: de Haas et al Reference de Haas, Hoekstra, van der Schoot, EJW, de Kroon and van Eekeren2019, 20: Pinheiro Machado Filho et al Reference Pinheiro Machado Filho, Seó, Daros, Enriquez-Hidalgo, Wendling and Pinheiro Machado2021, 21: Grandin Reference Grandin1999) (a: resulting from the environmental conservation category’s qualitative analysis; b: resulting from the animal welfare category’s qualitative analysis; c: resulting from the human welfare category’s qualitative analysis).

Discussion

Animal welfare terms in regenerative agriculture

In this study, we selected information from the different authors’ interpretations of the impact of regenerative agriculture on animal welfare, human well-being, and environmental conservation; then, we interpreted and analysed this information in order to identify the potential benefits to animal welfare. Although insufficient for a comprehensive assessment of the real impact of regenerative agriculture on animal welfare, this information can illuminate the main areas that can potentially be improved by applying regenerative principles.

The selected animal welfare terms are related primarily to the Health domain and, to a lesser extent, to the Nutritional, Environmental, and Behavioural domains, indicating that the authors interpret that regenerative agriculture enhances animal health. None of the authors provided information about how they defined animal welfare or methodological details about how animal welfare was or should be assessed. Some authors concluded that regenerative practices that improve soil quality would indirectly improve the health of the animals (Sherwood & Uphoff Reference Sherwood and Uphoff2000) or that animal health will improve as a consequence of mimicking the ancestral large-herds’ grazing patterns (Pecenka & Lundgren Reference Pecenka and Lundgren2019). Others inferred that regenerative grazing improves animal health, thus leading to less veterinary expenses (Spratt et al. Reference Spratt, Jordan, Winsten, Huff, van Schaik, Jewett, Filbert, Luhman, Meier and Paine2021). However, in none of these papers the promotion of other domains, rather than physical health, or positive mental states were addressed (Mellor et al. Reference Mellor, Beausoleil, Littlewood, McLean, McGreevy, Jones and Wilkins2020), which would provide more information on how regenerative agriculture may improve animal welfare.

Other authors interpreted low heat stress for animals, a positive mental state associated to environment, as an outcome of regenerative agriculture (Colley et al. Reference Colley, Olsen, Birkved and Hauschild2020; Spratt et al. Reference Spratt, Jordan, Winsten, Huff, van Schaik, Jewett, Filbert, Luhman, Meier and Paine2021), as a consequence of providing sufficient shade to farming animals and thus protecting them against harsh weather conditions. However, providing shade is insufficient to claim that animals are in thermal comfort. Although the lack of shade could negatively influence animal welfare (Schütz et al. Reference Schütz, Cox and Matthews2008), other parameters such as water availability, weather conditions, type of shade provision and structure, and social hierarchy should also be added to the reasoning (Coimbra et al. Reference Coimbra, Pinheiro Machado Filho and Hötzel2012; Deniz et al. Reference Deniz, Sousa, Moro, do Vale, Dittrich, Pinheiro Machado Filho and Hötzel2021). Environmental assessment for better animal welfare should also consider other parameters, such as physical space, noises, odours, and light intensity, that affect a broader range of mental states (Mellor et al. Reference Mellor, Beausoleil, Littlewood, McLean, McGreevy, Jones and Wilkins2020).

Some authors assume that regenerative agriculture improves animal access to sufficient, nutritious, and naturally produced food. For example, Slaughter et al. (Reference Slaughter, Deb, Chakraborty, Li, Bakr, Edwards and Weindorf2021) explain that regenerative grazing management can suppress weeds, thus improving the animal diet quality. Indeed, the suppression of weeds is an expected outcome of applying short grazing periods with high stocking rate (Savory & Butterfield Reference Savory and Butterfield2017; Pinheiro Machado Filho et al. Reference Pinheiro Machado Filho, Seó, Daros, Enriquez-Hidalgo, Wendling and Pinheiro Machado2021). However, in the Voisin rational grazing, Pinheiro Machado Filho et al. (Reference Pinheiro Machado Filho, Seó, Daros, Enriquez-Hidalgo, Wendling and Pinheiro Machado2021) explain that a balanced or better diet for animals also has to do with other factors beyond weed suppression, such as ensuring an optimal grass recovery period in the paddocks, the use of permanent multispecies swards with perennial species, the provision of fresh water, amongst others. Additionally, none of the reviewed papers addressed a connection between better food quality for animals and better food quality for humans.

The primary selected term associated with the Behaviour domain was low stress due to management. The authors did not provide in-depth details to explain exactly which type of management would lead to low stress and how. Low stress due to management related to regenerative agriculture seems to be grounded in the assumption that the system provides an improved human-animal relation, better animal handling, and lower stress as a consequence of a better environment, such as better grass, trees, and water (Gosnell Reference Gosnell2021; Spratt et al. Reference Spratt, Jordan, Winsten, Huff, van Schaik, Jewett, Filbert, Luhman, Meier and Paine2021). Human-animal relationships should be included in the regenerative agriculture principles, since they impact both animal welfare and human welfare (Burton et al. Reference Burton, Peoples and Cooper2012; Rault et al. Reference Rault, Waiblinger, Boivin and Hemsworth2020). However, to conclude that regenerative management leads to a less stressful condition for animals would require a more comprehensive approach, for example, the inclusion of the principles of low-stress cattle handling (Grandin Reference Grandin1999), or assessments of human-animal relations, exploring the reasons that motivate the attitudes and behaviour of animal caretakers. Farmers’ welfare could be affected by life factors not related to the farm, such as family health, social support, peers’ opinion, employment conditions, the autonomy they have to express behaviours according to their attitudes (Burton et al. Reference Burton, Peoples and Cooper2012; Albernaz-Gonçalves et al. Reference Albernaz-Gonçalves, Olmos and Hötzel2021). The authors of holistic management propose, among other things, to increase the stocking rates of animals per unit of land to emulate natural large herbivore herds and thus enhance overall land performance, which could affect the relationship between caretakers and animals. In holistic management principles, it is usual to find the term ‘tool’ to refer to livestock, for example, saying that well-managed ruminants are a helpful tool to regenerate degraded land (Savory & Butterfield Reference Savory and Butterfield2017). This utilitarian denomination may be unintended, but it might raise concerns about whether these principles explicitly consider animals as sentient beings and the need for animal welfare scientists to participate in discussions about the principles of regenerative agriculture. The regenerative agriculture principle of livestock integration should consider animals as sentient beings to minimise the risk of anthropocentric instrumentalisation of animals. Instrumentalisation is a consequence of the intensification of animal production systems, and it could risk a social devaluing of farm animal welfare (Tuyttens et al. Reference Tuyttens, Molento and Benaissa2022). However, some studies show information about regenerative farmers, primarily practicing holistic management, who declare to have improved their feelings of connection with animals, plants, and microorganisms (Gosnell et al. Reference Gosnell, Gill and Voyer2019, Reference Gosnell, Grimm and Goldstein2020). These perceptions could reflect farmers’ potential willingness or openness to explore better ways of taking care of their animals and enhance human-animal relationships.

Human welfare terms in regenerative agriculture

The One Welfare framework indicates that the welfare of non-human animals and humans can be considered equal. The animal welfare and human welfare terms selected from the papers differ both in the authors’ interpretation and in the measurements or methods cited. This difference reflects the need for unifying the terminology across disciplines so that both animal and human welfare are treated equally in the narratives.

Most of the selected terms regarding human welfare were associated with a decent standard of living and the mental state theories. A decent standard of living, understood as an improvement in the farm’s gross income, indicates that the authors of the papers interpreted that the most relevant factor to connect human welfare and regenerative agriculture was financial. However, Sherren et al. (Reference Sherren, Hodbod, Mathison-Slee, Chappell and King2022) indicated that farmers adopting a type of regenerative grazing can develop more than just financial welfare, but relational, physical and psychological improvements such as life satisfaction, motivation to continue with grazing, and non-traditional values.

Measuring human welfare is complex and has diverse methods and theories. The Human Development Index (as defined by the United Nations in 2020) regards human welfare as encompassing both a long and healthy life and access to knowledge. Additionally, Diener et al. (Reference Diener, Oishi and Tay2018) suggest that measurements of subjectiveness are also needed to broaden the understanding of human welfare beyond physical health, knowledge, and finances. A few authors of the papers studied the relation between regenerative agriculture and subjective welfare. Brown et al. (Reference Brown, Schirmer and Upton2021) conducted interviews with Australian regenerative farmers, concluding that subjective welfare measures are needed in studies about regenerative agriculture, and that regenerative agriculture can be associated with high values of eudaimonic subjective welfare, which is related to personal feelings of a life worth living. Gosnell et al. (Reference Gosnell, Gill and Voyer2019) conducted interviews with Australian farmers of holistic management to assess the factors that would improve their commitment to regenerative agriculture, concluding that there are significant traction factors associated with personal experiences that would incentivise a long-term commitment with regenerative agriculture, such as new-found humility, enthusiasm, a renewed connection to nature and community. The information provided by Gosnell et al. (Reference Gosnell, Gill and Voyer2019) and Brown et al. (Reference Brown, Schirmer and Upton2021) shows that regenerative agriculture has the potential to improve other areas of human welfare besides the standard of living. Since the One Welfare framework stipulates that the welfare of human and non-human animals can be considered as equal, the efforts of scientists to develop more accurate methods to assess welfare can benefit both human and non-human animals, especially in more recently studied fields, such as mental states.

Livestock role in environment conservation

We associated most of the terms in the environment conservation category. These terms were mainly focused on soil health and improvement. We did not find a significant number of terms related to other environmental measurements, such as water pollution, carbon footprint, greenhouse gas emissions, land erosion, overgrazing, carbon sequestration, improved biodiversity. Other environmental measurements should be included in regenerative agriculture papers that address livestock production since livestock production that is called sustainable significantly differ from industrialised systems in some of these measurements (e.g. more water pollution in industrialised operations) (Broom Reference Broom2019). Regenerative agriculture should document its potential differences from industrialised systems. We found less information specifically about animal welfare and human welfare in these papers. This prioritisation of environmental terms is coherent with a global climate emergency context, where livestock production systems have been blamed for having adverse environmental effects and playing a significant role in global GHG emissions (Herrero et al. Reference Herrero, Gerber, Vellinga, Garnett, Leip, Opio, Westhoek, Thornton, Olesen, Hutchings, Montgomery, Soussana, Steinfeld and McAllister2011; Cheng et al. Reference Cheng, McCarl and Fei2022). The lower attention to animal welfare and human welfare may mean that these are considered less urgent than the environmental goals, or that the papers’ authors interpret that regenerative agriculture principles will naturally improve animal welfare and human welfare, without needing specific enhancing actions. In fact, several authors conclude that some environmental benefits caused by the integration of livestock, such as soil health or improvement, serve as entry points to deliver other regenerative agriculture benefits, including improved rainfall infiltration in the soil (Rhodes Reference Rhodes2017), restoration of lost habitat and re-establishment of natural vegetation (Strauch et al. Reference Strauch, Kapust and Jost2009), adaptive response to diseases (McLachlan & Yestrau Reference McLachlan and Yestrau2009), the breaking up of soil crusts by trampling (Huruba et al. Reference Huruba, Mlambo, Mundy, Sebata and MacFadyen2018), community well-being (Newton et al. Reference Newton, Civita, Frankel-Goldwater, Bartel and Johns2020), and animal welfare (Spratt et al. Reference Spratt, Jordan, Winsten, Huff, van Schaik, Jewett, Filbert, Luhman, Meier and Paine2021). Although some of these benefits are related to animal welfare and human welfare, they are not prioritised.

Animal welfare and human welfare are vital for any sustainable initiative (Broom Reference Broom2019), given that by integrating human values, a food animal production system, like regenerative agriculture, may be more justifiable for society (Von Keyserlingk & Hötzel Reference von Keyserlingk and Hötzel2015). If researchers address this integration, regenerative agriculture may achieve more public support. However, the general public have a poor understanding of the concept of animal welfare in production systems and tend to show more concern for the welfare of animals that are considered more intelligent (Cornish et al. Reference Cornish, Raubenheimer and McGreevy2016). The public also criticise the industrialised profit-driven animal food production systems, where animal suffering and abuse are evident (Clark et al. Reference Clark, Stewart, Panzone, Kyriazakis and Frewer2016; Hötzel & Vandresen Reference Hötzel and Vandresen2022). A food animal production system called regenerative, with grass-fed animals living outdoors, could then be subject to less public scrutiny about the living conditions of the animals. However, regenerative agriculture scientists and practitioners should not rely on this apparent lack of public attention and comprehensively measure society’s acceptance of regenerative systems, including, for example, more Delta Life Cycle Analyses of regenerative systems (Broom Reference Broom2021), like Colley et al. (Reference Colley, Olsen, Birkved and Hauschild2020) and animal welfare measurements or data integrating biological functioning, natural behaviour, and affective states. Several elements can affect these measurements in pasture-based systems (regenerative or other) and should be addressed, such as water availability and quality, provision of shade and shelter, animal handling, protection against predators, weaning, reproductive management, disease prevention and treatment, calving, social dynamics of the herd, milking management, pasture management, infrastructure characteristics, culling methods and protocols, and human-animal bonds (Mee & Boyle Reference Boyle2020). Additionally, given the current process of scientifically defining the concept, regenerative agriculture is often misused and prone to greenwashing, raising red flags on many topics, including animal welfare.

Interconnections between the One Welfare categories

The Causal Loop Diagram (Figure 6) was expected to fill the gap in the scientific literature about the potential impacts of regenerative agriculture on animal welfare, by finding positive causal relations between animal welfare, human welfare, and environment conservation. Soil improvement was the main entry point leading to potential benefits to animal welfare. The connection between regenerative agriculture and soil improvement confirms other authors’ findings that regenerative agriculture is a soil-based concept (Rhodes Reference Rhodes2017; Elevitch et al. 2018; LaCanne & Lundgren Reference LaCanne and Lundgren2018; Newton et al. Reference Newton, Civita, Frankel-Goldwater, Bartel and Johns2020; Schreefel et al. Reference Schreefel, Schulte, de Boer, Schrijver and van Zanten2020; Luján Soto et al. Reference Luján Soto, Martínez-Mena, Cuéllar Padilla and de Vente2021). Although this review was based on peer-reviewed publications, it is challenging to determine how regenerative agriculture impacts animal welfare, so the Causal Loop Diagram was proposed to depict potential positive causal relations between regenerative agriculture and animal welfare. The diagram indicated that regenerative agriculture indirectly improves the physical health, and to a lesser extent the nutrition and behaviour components of animal welfare from three paths. Firstly, by enhancing human welfare elements, especially financial farm status and farmer’s self-awareness elements from human welfare. Secondly, by improving the soil, understanding that the soil will be the base for the rest of the ecosystem. Thirdly, by improving animal handling. However, with the results for the three One Welfare categories, we did not find relevant causal relations between regenerative agriculture and the environment domain of animal welfare, since the primary connection was thermal comfort and we found that there was no sufficient evidence in the literature to conclude that regenerative agriculture has the potential to enhance thermal comfort. The missing connections between regenerative agriculture and the environment domain reflect the challenge for a more comprehensive inclusion of animal welfare in regenerative agriculture scientific narratives.

The Causal Loop Diagram results reflect two scenarios. On the one hand, the processes that improve some components of human welfare and environmental conservation could also lead to positive animal welfare outcomes. On the other hand, failing to attend to animal welfare could result in detrimental effects for the other two categories. These interconnections align with the One Welfare framework’s central claim that the welfare of non-human animals, humans, and the environment is interconnected and should be addressed systemically.

Animal welfare implications

This study contributes to ensuring that animal welfare elements are present in the ongoing scientific debate about regenerative agriculture definitions. Although regenerative agriculture is a soil-based concept, it is vital to address the connections between soil and animal welfare. The soil can affect some elements of animal welfare, which need to be expanded and further studied, and failing to consider animal welfare comprehensively could have, amongst other negative impacts, detrimental effects on the soil and, ultimately, on humans. Showing these interconnections can push more key actors engaged with regenerative agriculture to place equal value on the welfare of people, animals, and the environment. The One Welfare framework succeeds in showing these interconnections, but more studies are needed to give this framework more empirical background to help its operationalisation. The findings of this study also provide orientations for animal welfare and regenerative agriculture researchers on pursuing common goals and work for better animal welfare in regenerative agriculture systems.

Conclusion

Our main conclusions are that peer-reviewed publications exclude fundamental elements for a comprehensive understanding of animal and human welfare. While the terms for animal welfare are focused on physical health and, to some extent, nutrition and behaviour, there is a lack of terms related to needs, stress, suffering, and pleasure that could help uncover the extent of animal welfare representation in regenerative agriculture systems. Therefore, the findings provide insufficient information to determine how regenerative agriculture impacts animal welfare. We found that the selected animal welfare terms were only possible to be associated to the physical functional domains, specially to the health domain, which exposes the need to expand the study of animal welfare beyond a main focus on animal health and to include animal welfare as an integral part of regenerative agriculture. The selected human welfare terms were associated primarily to financial welfare, reflecting that the papers do not consider the welfare of non-human animals and humans as equal. A more comprehensive assessment of human welfare could benefit non-human animals and humans. In the Causal Loop Diagram, we depicted enough interconnections between the One Welfare categories to give light to further regenerative agriculture research. The latter should focus on elucidating the set of regenerative principles that could lead to better animal welfare, actively or passively, through improving human welfare and environment conservation.

Acknowledgements

MJH acknowledges the support given by CNPq (National Council for Scientific and Technological Development, Brazil), grant n. 304968/2019-6. MJH-M received a Doctoral scholarship from FAPESC (Foundation of Innovation of the State of Santa Catarina, Brazil). This research was conducted as part of his PhD thesis work. MJH-M received financial aid from UFAW (Universities Federation for Animal Welfare) to present the partial results at the Advancing Animal Welfare Science, UFAW International Conference - Edinburgh, UK, 28–29 June 2022.

Competing interest

None. No financial institution played any role in the study design, collection, analysis, and interpretation of data, writing the paper, or in the decision to submit to Animal Welfare.

Footnotes

Author contributions: Conceptualisation: MJH-M, MH; Data curation: MJH-M, MH; Formal analysis: MJH-M, MH; Funding acquisition: MJH-M, MH; Investigation: MJH-M, MH; Methodology: MJH-M, MH; Project administration: MJH-M, MH; Supervision: MH; Writing – original draft: MJHM, MH; Writing – review and editing: MJH-M, MH

References

Albernaz-Gonçalves, R, Olmos, G and Hötzel, MJ 2021 My pigs are ok, why change? – animal welfare accounts of pig farmers. Animal 15(3). https://doi.org/10.1016/j.animal.2020.100154CrossRefGoogle ScholarPubMed
Alliance RO 2021 Framework for Regenerative Organic Certified Table of Contents. Regenerative Organic Certified. https://regenorganic.org/pdf/ROC-Framework.pdfGoogle Scholar
Broom, DM 2017 Components of sustainable animal production and the use of silvopastoral systems. Revista Brasileira de Zootecnia 46(8): 683688. https://doi.org/10.1590/S1806-92902017000800009CrossRefGoogle Scholar
Broom, DM 2019 Animal welfare complementing or conflicting with other sustainability issues. Applied Animal Behaviour Science 219: 104829. https://doi.org/10.1016/j.applanim.2019.06.010CrossRefGoogle Scholar
Broom, DM, Galindo, FA and Murgueitio, E 2013 Sustainable, efficient livestock production with high biodiversity and good welfare for animals. Proceedings of the Royal Society B280: 20132025. https://doi.org/10.1098/rspb.2013.2025CrossRefGoogle Scholar
Broom, DM 2021 A method for assessing sustainability, with beef production as an example. Biological Reviews 96(5): 18361853. https://doi.org/10.1111/brv.12726CrossRefGoogle ScholarPubMed
Brown, K, Schirmer, J and Upton, P 2021 Regenerative farming and human wellbeing: Are subjective wellbeing measures useful indicators for sustainable farming systems? Environmental and Sustainability Indicators 11. https://doi.org/10.1016/j.indic.2021.100132Google Scholar
Burrows, K and Kinney, PL 2016 Exploring the climate change, migration and conflict nexus. International Journal of Environmental Research and Public Health 13(4): 117. https://doi.org/10.3390/ijerph13040443CrossRefGoogle ScholarPubMed
Burton, RJF, Peoples, S and Cooper, MH 2012 Building “cowshed cultures”: A cultural perspective on the promotion of stockmanship and animal welfare on dairy farms. Journal of Rural Studies 28(2): 174187. https://doi.org/10.1016/j.jrurstud.2011.12.003Google Scholar
Campbell, BM, Beare, DJ, Bennett, EM, Hall-Spencer, JM, Ingram, JSI, Jaramillo, F, Ortiz, R, Ramankutty, N, Sayer, JA and Shindell, D 2017 Agriculture production as a major driver of the earth system exceeding planetary boundaries. Ecology and Society 22(4). https://doi.org/10.5751/ES-09595-220408Google Scholar
Cheng, M, McCarl, B and Fei, C 2022 Climate change and livestock production: A literature review. Atmosphere 13(1). https://doi.org/10.3390/atmos13010140CrossRefGoogle Scholar
Clark, B, Stewart, GB, Panzone, LA, Kyriazakis, I and Frewer, LJ 2016 A systematic review of public attitudes, perceptions and behaviours towards production diseases associated with farm animal welfare. Journal of Agricultural and Environmental Ethics 29(3): 455478. https://doi.org/10.1007/s10806-016-9615-xCrossRefGoogle Scholar
Coimbra, P, Pinheiro Machado Filho, LC and Hötzel, MJ 2012 Effects of social dominance, water trough location and shade availability on drinking behaviour of cows on pasture. Applied Animal Behaviour Science 139(3–4): 175182. https://doi.org/10.1016/j.applanim.2012.04.009CrossRefGoogle Scholar
Colley, TA, Olsen, SI, Birkved, M and Hauschild, MZ 2020 Delta life cycle assessment of regenerative agriculture in a sheep farming system. Integrated Environmental Assessment and Management 16(2): 282290. https://doi.org/10.1002/ieam.4238CrossRefGoogle Scholar
Cornish, A, Raubenheimer, D and McGreevy, P 2016 What we know about the public’s level of concern for farm animal welfare in food production in developed countries. Animals 6(11): 115. https://doi.org/10.3390/ani6110074CrossRefGoogle ScholarPubMed
de Haas, BR, Hoekstra, NJ, van der Schoot, JR, EJW, Visser, de Kroon, H and van Eekeren, N 2019 Combining agro-ecological functions in grass-clover mixtures. AIMS Agriculture and Food 4(3): 547567. https://doi.org/10.3934/agrfood.2019.3.547CrossRefGoogle Scholar
Deniz, M, Sousa, K, Moro, M, do Vale, M, Dittrich, J, Pinheiro Machado Filho, LC and Hötzel, MJ 2021 Social hierarchy influences dairy cows’ use of shade in a silvopastoral system under intensive rotational grazing. Applied Animal Behaviour Science 244: 01. https://doi.org/10.1016/j.applanim.2021.105467CrossRefGoogle Scholar
Diener, E, Oishi, S and Tay, L 2018 Advances in subjective well-being research. Nature Human Behaviour 2: 253260. https://doi.org/10.1038/s41562-018-0307-6CrossRefGoogle ScholarPubMed
Elevitch, CR, Mazaroli, DN and Ragone, D 2018 Agroforestry standards for regenerative agriculture. Sustainability (Switzerland) 10(9). https://doi.org/10.3390/su10093337Google Scholar
Foley, JA, DeFries, R, Asner, GP, Barford, C, Bonan, G, Carpenter, SR, Chapin, FS, Coe, MT, Daily, GC, Gibbs, HK, Helkowski, JH, Holloway, T, Howard, EA, Kucharik, CJ, Monfreda, C, Patz, JA, Prentice, IC, Ramankutty, N and Snyder, PK 2005 Global consequences of land use. Science 309(5734): 570574. https://doi.org/10.1126/science.1111772CrossRefGoogle ScholarPubMed
Food and Agriculture Organisation of the United Nations 2021 Food security and nutrition in the world the state of transforming food systems for affordable healthy diets. The State of the World. FAO: Rome, Italy. https://doi.org/10.4060/ca9692enGoogle Scholar
García Pinillos, R 2018 One Welfare: A Framework to Improve Animal Welfare and Human Well-being. CAB International: Wallingford, UK.Google Scholar
Giller, KE, Hijbeek, R, Andersson, JA and Sumberg, J 2021 Regenerative Agriculture: An agronomic perspective. Outlook on Agriculture 50(1): 1325. https://doi.org/10.1177/0030727021998063CrossRefGoogle ScholarPubMed
Gosnell, H, Gill, N and Voyer, M 2019 Transformational adaptation on the farm: processes of change and persistence in transitions to ‘climate-smart’ regenerative agriculture. Global Environment Change 59: 101965. https://doi.org/10.1016/j.gloenvcha.2019.101965CrossRefGoogle Scholar
Gosnell, H, Grimm, K and Goldstein, BE 2020 A half century of Holistic Management: what does the evidence reveal? Agriculture and Human Values 37(3): 849867. https://doi.org/10.1007/s10460-020-10016-wCrossRefGoogle Scholar
Gosnell, H 2021 Regenerating soil, regenerating soul: an integral approach to understanding agricultural transformation. Sustainability Science. https://doi.org/10.1007/s11625-021-00993-0CrossRefGoogle Scholar
Grandin, T 1999 Principles for low stress cattle handling. Range Beef Cow Symposium 134. https://digitalcommons.unl.edu/rangebeefcowsymp/134Google Scholar
Gravuer, K, Gennet, S and Throop, HL 2019 Organic amendment additions to rangelands: A meta-analysis of multiple ecosystem outcomes. Global Change Biology 25(3): 11521170. https://doi.org/10.1111/gcb.14535CrossRefGoogle ScholarPubMed
Haraldsson, HV 2004 Causal Loop Diagrams - Archetypes. Idea. January 2004: 15.Google Scholar
Herrero, M, Gerber, P, Vellinga, T, Garnett, T, Leip, A, Opio, C, Westhoek, HJ, Thornton, PK, Olesen, J, Hutchings, N, Montgomery, H, Soussana, JF, Steinfeld, H and McAllister, TA 2011 Livestock and greenhouse gas emissions: The importance of getting the numbers right. Animal Feed Science and Technology 166–167: 779782. https://doi.org/10.1016/j.anifeedsci.2011.04.083CrossRefGoogle Scholar
Hötzel, MJ and Vandresen, B 2022 Brazilians’ attitudes to meat consumption and production: Present and future challenges to the sustainability of the meat industry. Meat Science 192: 108893. https://doi.org/10.1016/j.meatsci.2022.108893CrossRefGoogle Scholar
Huruba, R, Mlambo, T, Mundy, PJ, Sebata, A and MacFadyen, DN 2018 Short duration overnight cattle kraaling in natural rangelands: Implications for grass composition, quality, above ground biomass, species diversity and basal cover. Agriculture, Ecosystems and Environment 257: 144151. https://doi.org/10.1016/j.agee.2018.02.004Google Scholar
Keeling, L, Tunón, H, Olmos Antillón, G, Berg, C, Jones, M, Stuardo, L, Swanson, J, Wallenbeck, A, Winckler, C and Blokhuis, H 2019 Animal welfare and the United Nations sustainable development goals. Frontiers in Veterinary Science 6: 112. https://doi.org/10.3389/fvets.2019.00336CrossRefGoogle ScholarPubMed
Kleppel, GS 2020 Do differences in livestock management practices influence environmental impacts? Frontiers in Sustainable Food Systems 4. https://doi.org/10.3389/fsufs.2020.00141CrossRefGoogle Scholar
LaCanne, CE and Lundgren, JG 2018 Regenerative agriculture: Merging farming and natural resource conservation profitably. PeerJ 2018(2). https://doi.org/10.7717/peerj.4428Google Scholar
Lal, R 2020a Home gardening and urban agriculture for advancing food and nutritional security in response to the COVID-19 pandemic. Food Security 12(4): 871876. https://doi.org/10.1007/s12571-020-01058-3Google Scholar
Lal, R 2020b Regenerative agriculture for food and climate. Journal of Soil and Water Conservation 75(5): 123A–124A. https://doi.org/10.2489/jswc.2020.0620ACrossRefGoogle Scholar
Luján Soto, R, Martínez-Mena, M, Cuéllar Padilla, M and de Vente, J 2021 Restoring soil quality of woody agroecosystems in Mediterranean drylands through regenerative agriculture. Agriculture, Ecosystems and Environment 306. https://doi.org/10.1016/j.agee.2020.107191CrossRefGoogle Scholar
Lundgren, JG, Fenster, TLD, LaCanne, CE, Pecenka, JR, Schmid, RB, Bredeson, MM, Busenitz, KM, Michels, AM and Welch, KD 2021 Defining and validating regenerative farm systems using a composite of ranked agricultural practices. F1000Research 10. https://doi.org/10.12688/f1000research.28450.1Google Scholar
Mann, C, Parkins, JR, Isaac, ME and Sherren, K 2019 Do practitioners of holistic management exhibit systems thinking? Ecology and Society 24(3). https://doi.org/10.5751/ES-11092-240319CrossRefGoogle Scholar
McLachlan, SM and Yestrau, M 2009. From the ground up: Holistic management and grassroots rural adaptation to bovine spongiform encephalopathy across western Canada. Mitigation and Adaptation Strategies for Global Change 14(4): 299316. https://doi.org/10.1007/s11027-008-9165-2CrossRefGoogle Scholar
Mee JF and Boyle, LA 2020 Assessing whether dairy cow welfare is “better” in pasture-based than in confinement-based management systems. New Zealand Veterinary Journal 68(3): 168177. https://doi.org/10.1080/00480169.2020.1721034Google Scholar
Mellor, DJ, Beausoleil, NJ, Littlewood, KE, McLean, AN, McGreevy, PD, Jones, B and Wilkins, C 2020 The 2020 five domains model: Including human–animal interactions in assessments of animal welfare. Animals 10(10): 124. https://doi.org/10.3390/ani10101870CrossRefGoogle ScholarPubMed
Mosier, S, Apfelbaum, S, Byck, P, Calderon, F, Teague, R, Thompson, R and Cotrufo, MF 2021 Adaptive multi-paddock grazing enhances soil carbon and nitrogen stocks and stabilization through mineral association in southeastern U.S. grazing lands. Journal of Environmental Management 288. https://doi.org/10.1016/j.jenvman.2021.112409CrossRefGoogle ScholarPubMed
Newton, P, Civita, N, Frankel-Goldwater, L, Bartel, K and Johns, C 2020 What is regenerative agriculture? A review of scholar and practitioner definitions based on processes and outcomes. Frontiers in Sustainable Food Systems 4: 111. https://doi.org/10.3389/fsufs.2020.577723CrossRefGoogle Scholar
Pahlevan Sharif, S, Mura, P and Wijesinghe, SNR 2019 Systematic Reviews in Asia: Introducing the “PRISMA” Protocol to Tourism and Hospitality Scholars pp 1333. https://doi.org/10.1007/978-981-13-2463-5_2CrossRefGoogle Scholar
Page, MJ, Moher, D, Bossuyt, PM, Boutron, I, Hoffmann, TC, Mulrow, CD, Shamseer, L, Tetzlaff, JM, Akl, EA, Brennan, SE, Chou, R, Glanville, J, Grimshaw, JM, Hróbjartsson, A, Lalu, MM, Li, T, Loder, EW, Mayo-Wilson, E, Mcdonald, S and Mckenzie, JE 2021 PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. The BMJ 372. https://doi.org/10.1136/bmj.n160Google ScholarPubMed
Pecenka, JR and Lundgren, JG 2019 Effects of herd management and the use of ivermectin on dung arthropod communities in grasslands. Basic and Applied Ecology 40: 1929. https://doi.org/10.1016/j.baae.2019.07.006CrossRefGoogle Scholar
Pinheiro Machado Filho, LC, Seó, HLS, Daros, RR, Enriquez-Hidalgo, D, Wendling, AV and Pinheiro Machado, LC 2021 Voisin rational grazing as a sustainable alternative for livestock production. Animals 11(12). https://doi.org/10.3390/ani11123494CrossRefGoogle ScholarPubMed
Provenza, FD, Kronberg, SL and Gregorini, P 2019 Is grassfed meat and dairy better for human and environmental health? Frontiers in Nutrition 6. https://doi.org/10.3389/fnut.2019.00026CrossRefGoogle ScholarPubMed
Rault, JL, Waiblinger, S, Boivin, X and Hemsworth, P 2020 The power of a positive human–animal relationship for animal welfare. Frontiers in Veterinary Science 7: 113. https://doi.org/10.3389/fvets.2020.590867CrossRefGoogle ScholarPubMed
Rhodes, CJ 2017 The imperative for regenerative agriculture. Science Progress 100(1): 80129. https://doi.org/10.3184/003685017X14876775256165Google ScholarPubMed
Savory, A and Butterfield, J 2017 Holistic Management: A Common-Sense Revolution to Restore our Environment, Third Edition. Island Press: Washington DC, USA.Google Scholar
Schlindwein, SL and Ison, R 2020 Confronting total systemic failure? The May 2018 truckers’ strike in Brazil. Systems Research and Behavioral Science 37(1): 119127. https://doi.org/10.1002/sres.2603CrossRefGoogle Scholar
Schreefel, L, Schulte, RP, de Boer, IJM, Schrijver, AP and van Zanten, HH 2020 Regenerative agriculture – the soil is the base. Global Food Security 26. https://doi.org/10.1016/j.gfs.2020.100404CrossRefGoogle Scholar
Schütz, KE, Cox, NR and Matthews, LR 2008 How important is shade to dairy cattle? Choice between shade or lying following different levels of lying deprivation. Applied Animal Behaviour Science 114(3–4): 307318. https://doi.org/10.1016/j.applanim.2008.04.001CrossRefGoogle Scholar
Sebo, J, Verkuijl, C, Hötzel, MJ, Achakulwisut, P, Lima, MB and Green, J 2022 Sustainable development matters for animals too: Governments have a responsibility to recognize that. CABI One Health 1: 12. https://doi.org/10.1079/cabionehealth20220002Google Scholar
Sherren, K, Hodbod, J, Mathison-Slee, M, Chappell, E and King, M 2022 Adaptive multi-paddock grazing and wellbeing: uptake, management practices and mindset among Canadian beef producers. Agroecology and Sustainable Food Systems 46(9): 13041329. https://doi.org/10.1080/21683565.2022.2107597CrossRefGoogle Scholar
Sherwood, S and Uphoff, N 2000 Soil health: Research, practice and policy for a more regenerative agriculture. Applied Soil Ecology 15(1): 8597. https://doi.org/10.1016/S0929-1393(00)00074-3Google Scholar
Slaughter, L, Deb, S, Chakraborty, S, Li, B, Bakr, N, Edwards, B and Weindorf, D 2021 On-farm evaluation of regenerative land-use practices in a semi-arid pasture agroecosystem in west texas, usa. Revista Brasileira de Ciencia Do Solo 45. https://doi.org/10.36783/18069657rbcs20200163CrossRefGoogle Scholar
Spratt, E, Jordan, J, Winsten, J, Huff, P, van Schaik, C, Jewett, JG, Filbert, M, Luhman, J, Meier, E and Paine, L 2021 Accelerating regenerative grazing to tackle farm, environmental, and societal challenges in the upper Midwest. Journal of Soil and Water Conservation 76(1): 15A23A. https://doi.org/10.2489/jswc.2021.1209ACrossRefGoogle Scholar
Steffen, W, Richardson, K, Rockström, J, Cornell, SE, Fetzer, I, Bennett, EM, Biggs, R, Carpenter, SR, De Vries, W, De Wit, CA, Folke, C, Gerten, D, Heinke, J, Mace, GM, Persson, LM, Ramanathan, V, Reyers, B and Sörlin, S 2015 Planetary boundaries: Guiding human development on a changing planet. Science 347(6223). https://doi.org/10.1126/science.1259855CrossRefGoogle ScholarPubMed
Strauch, AM, Kapust, AR and Jost, CC 2009 Impact of livestock management on water quality and streambank structure in a semi-arid, African ecosystem. Journal of Arid Environments 73(9): 795803. https://doi.org/10.1016/j.jaridenv.2009.03.012Google Scholar
Tarazona, AM, Ceballos, MC and Broom, DM 2020 Human relationships with domestic and other animals: One Health, One Welfare, One Biology. Animals 10(43): 122. https://doi.org/10.3390/ani10010043Google Scholar
Teague, R and Barnes, M 2017 Grazing management that regenerates ecosystem function and grazingland livelihoods. African Journal of Range and Forage Science 34(2): 7786. https://doi.org/10.2989/10220119.2017.1334706Google Scholar
Tuyttens, FAM, Molento, CFM and Benaissa, S 2022 Twelve threats of precision livestock farming (PLF) for animal welfare. Frontiers in Veterinary Science 9: 112. https://doi.org/10.3389/fvets.2022.889623CrossRefGoogle ScholarPubMed
United Nations 2020 Human development reports: Human Development Index (HDI). United Nations Development Programme. https://hdr.undp.org/en/content/human-development-index-hdiGoogle Scholar
United Nations 2019 Department of Economic and Social Affairs, Population Division 2019 World Population Prospects 2019, Online Edition. Rev. 1. https://www.un.org/development/desa/pd/news/world-population-prospects-2019-0Google Scholar
Villettaz Robichaud, M, Rushen, J, de Passillé, AM, Vasseur, E, Orsel, K and Pellerin, D 2019 Associations between on-farm animal welfare indicators and productivity and profitability on Canadian dairies: I. On freestall farms. Journal of Dairy Science 102(5): 43414351. https://doi.org/10.3168/jds.2018-14817CrossRefGoogle ScholarPubMed
von Keyserlingk, MAG and Hötzel, MJ 2015 The ticking clock: Addressing farm animal welfare in emerging countries. Journal of Agricultural and Environmental Ethics 28(1): 179195. https://doi.org/10.1007/s10806-014-9518-7CrossRefGoogle Scholar
von Keyserlingk, MAG, Martin, NP, Kebreab, E, Knowlton, KF, Grant, RJ, Stephenson, M, Sniffen, CJ, Harner, JP, Wright, AD and Smith, SI 2013 Invited review: Sustainability of the US dairy industry. Journal of Dairy Science 96(9): 54055425. https://doi.org/10.3168/jds.2012-6354CrossRefGoogle ScholarPubMed
Xu, S, Rowntree, J, Borrelli, P, Hodbod, J and Raven, M 2019 Ecological Health Index: a short-term monitoring method for land managers to assess grazing lands ecological health. Environments 6(67): 118. https://doi.org/10.3390/environments6060067CrossRefGoogle Scholar
Figure 0

Figure 1. Flow chart for the identification of studies via databases and records. Adapted from PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analysis) (Pahlevan Sharif et al2019, Page et al2021). The discrepancy between the number of materials included by One Welfare categories (animal welfare, human welfare, and environment conservation) and the total number of materials included for qualitative analysis is explained by some materials providing terms for more than one One Welfare category.

Figure 1

Figure 2. Word cloud (ATLAS.ti 8) for animal welfare terms selected from regenerative agriculture peer-reviewed papers.

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Figure 3. Map of the potential mental states from terms. 45 Animal welfare terms selected from 27 papers and connected to the potential mental states they could be generating. We classified these 45 terms according to the Physical/Functional Domains, 1. Nutrition, 2. Environment, 3. Health, and 4. Behaviour, and connected the animal welfare terms to their potentially generated mental state, provided by Mellor et al (2020).

Figure 3

Figure 4. Frequency of terms that are likely to improve both hedonic and eudaimonic subjective welfare (Brown et al2021). For the HDI dimensions, in the blue columns, the terms are more related to a decent standard of living. For the subjective welfare theories, in the green columns, the terms are more related to the mental-state theories (Diener et al2018).

Figure 4

Table 1. Themes developed for the environment conservation category

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Figure 5. Percentage of terms related to the environment conservation themes (EPB: Environmental productive benefits).

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Figure 6. Causal Loop Diagram of the potential causes-effects of implementing a regenerative agriculture system, based on the review’s results. The word Delay represents an action from a causal relationship that takes longer than actions from other causal relationships. (1: Huruba et al2018, 2: Pecenka & Lundgren 2019 3: Teague & Barnes 2017, 4: Mellor et al2020, 5: Savory & Butterfield 2017, 6: Lal 2020, 7: Tarazona et al 2018, 8: Broom et al2013, 9: Villettaz Robichaud et al2019, 10: United Nations 2020, 11: Burton et al2012, 12: Rault et al2020, 13: Diener et al2018, 14: Brown et al2021, 15: Gosnell 2021, 16: Gosnell et al2019, 17: Kleppel 2020, 18: Provenza et al2019, 19: de Haas et al2019, 20: Pinheiro Machado Filho et al2021, 21: Grandin 1999) (a: resulting from the environmental conservation category’s qualitative analysis; b: resulting from the animal welfare category’s qualitative analysis; c: resulting from the human welfare category’s qualitative analysis).