Extensive Livestock Research Articles

Land of wolves, school of shepherds: the importance of pastoral knowledge on co-existence with large carnivores

ABSTRACT The wolf (Canis lupus) is recovering and recolonizing its historic range in Europe. In places where wolves have long been absent, their recent recolonization could potentially provoke extensive livestock farmers’ opposition. To understand the conditions for extensive grazing-wolf co-existence, we conducted interviews with livestock farmers and shepherds to compare three Spanish regions in different wolf presence states: uninterrupted wolf presence, recent wolf recolonization and sporadic wolf presence. Our results show the importance of Traditional Ecological Knowledge (TEK) for reducing conflict and enabling co-existence. In areas where wolves were extinct and have been recently recolonized, loss of TEK has led to less of both tolerance to wolves and awareness of the benefits they provide. Conversely, in areas where wolf presence has been uninterrupted, maintaining the TEK associated with livestock management, such as use of mastiff dogs and shepherd's role, has favored the co-existence of extensive grazing systems with wolves. Our findings have important implications for the EU Common Agricultural Policy by highlighting the urgent need to integrate the close link between TEK and the co-existence of extensive grazing systems with large carnivores. Furthermore, the EU Nature Restoration Law could reinforce these same approaches.

ADD-YOLO: An algorithm for detecting animals in outdoor environments based on unmanned aerial imagery

The breeding management of extensive livestock and scientific research surveys of animals in outdoor environments often require the utilization of UAVs due to their ability to efficiently cover large areas at a cost-effective rate. However, identifying small animal targets in aerial imagery from high-altitudes remains a significant challenge. This paper introduces an enhanced algorithm based on YOLOv8n, specifically designed for aerial animal detection. Firstly, we add a P2 small target detection layer on top of the original baseline model, while removing the P5 large target detection layer and 32x downsampling to enhance the detection of small animal targets and reduce the number of model parameters. Secondly, The improved N-SPPCSPC module replaces the spatial pyramid pooling structure in the baseline model to enhance the extraction capability for small targets. Thirdly, an improved DWRC2f module is adopted to enhance the extraction of multi-scale contextual information. Fourthly, the SEAM module is incorporated before the detection head to enhance the detection of occluded and overlapping animals. Finally, a combined NWD Loss function is implemented to address the scale sensitivity of IoU Loss, thereby improving the accuracy of small target detection. Compared to the baseline model, the improved model achieved an increase of 7.1% and 4.9% in mAP50 values and an increase of 4.0% and 1.3% in mAP50-95 values, respectively, across two datasets, while significantly reducing the number of parameters. Further comparisons with other single-stage object detection models demonstrate a better robustness of our model. Additionally, after quantization, when testing the inference speed of ADD-YOLO on performance-constrained edge devices, it was 1.72 times and 1.81 times faster than the baseline model. Therefore, this model provides a new and efficient monitoring tool for extensive pastoral management and wildlife surveys.

Teleconnection between the Reproductive Parameters of the Bearded Vulture and Macroclimatic Oscillations: Implications for Conservation

ABSTRACT The Bearded Vulture (Gypaetus barbatus) is a scavenging bird of prey that was once widespread on the Iberian Peninsula. Its current distribution in Spain is limited to specific mountain ranges, including the Aragonese Pyrenees. The decline of the Iberian population has been linked to factors acting at a microscale level, such as the use of poisons, illegal hunting, and a decrease in extensive livestock farming. There are, however, other factors acting on a biogeographical scale that are not currently being considered and may also be affecting the viability of populations. The aim of this case study was to investigate the influences of large-scale environmental conditions on temporal variation in the reproductive parameters of the Bearded Vulture breeding population in the Aragonese Pyrenees. We tested the degree to which each of 26 macroclimatic oscillation indices with an effect on regional weather conditions were teleconnected with three reproductive parameters (hatching rate, fledging rate, and productivity). Two indices—the Tropical Northern Atlantic and East Atlantic/West Russia Pattern—were temporally correlated with Bearded Vulture reproductive parameters. The study results provide novel information to facilitate Bearded Vulture conservation because no previous studies have addressed this issue from a biogeographical and macroecological perspective. The results could have important implications for the management and conservation of the species and its successful reintroduction in other territories.

Livestock production systems in wetlands of Argentina: assessing transition toward sustainable agroecological systems-

ABSTRACT The magnitude of the current environmental degradation requires an urgent restructuring of food production systems. In this sense, agroecology is considered a sustainable approach, because it provides tools to guide transition toward sustainable production systems and to meet the Sustainable Development Goals (SDG). Nevertheless, it is imperative to possess evidence regarding the implementation of agroecology and current extent. The goals of this study are to compare two instruments for assessing agroecological transitions, to measure the agroecological performance of extensive livestock systems in slightly disturbed wetlands, identify agroecological elements that differentiate farm categories, and identify relationships among these elements. We evaluated 19 representative extensive livestock production ranches from central-western Argentina. We used the Characterization of Agroecological Transition (CAET) from the Tool for Agroecology Performance Evaluation (TAPE). Moreover, CAET was modified through interaction with ranchers and technicians (Adapted CAET). The results obtained with both tools revealed that the agroecological performance of extensive livestock systems is currently in transition, with an overall average of 56.9%. This suggests that there is a group of farmers implementing agroecological strategies which have the potential to drive the transition to achieve the SDGs. This research provides valuable knowledge for applying agroecology principles in minimally impacted wetlands.

Assessing Fire Regimes in the Paraguayan Chaco: Implications for Ecological and Fire Management

This study analyzed the fire regime in the highly diverse Paraguayan Chaco, focusing on different aspects of fire patterns, including spatial (area burned) and temporal (frequency) aspects and magnitude (severity). We focused on fire as it is a natural phenomenon that drives ecosystem change and has significant economic, ecological and social impacts of particular concern in vulnerable ecosystems. Using the K-means clustering technique, we identified four distinct fire regimes in the study region: High (H), Moderately High (MH), Moderately Low (ML) and Low (L). On the one hand, the Dry Chaco predominantly featured Low and Moderately High regimes, characterized by a low fire frequency due to arid conditions. On the other hand, the Humid Chaco was particularly affected by agricultural burning, driven by extensive livestock activity and higher biomass productivity. Finally, in the Pantanal, the variations in fire intensity were influenced by flood pulses and rainfall patterns. Our findings highlight the distinct fire regimes across the Paraguayan Chaco and detail the differences in the regimes. The study’s findings are valuable for developing efficient management strategies that account for fire behaviour during agricultural burning in this poorly studied region.

Modelling Water Availability in Livestock Ponds by Remote Sensing: Enhancing Management in Iberian Agrosilvopastoral Systems

Extensive livestock farming plays a crucial role in the economy of agrosilvopastoral systems of the southwestern Iberian Peninsula (known as dehesas and montados in Spanish and Portuguese, respectively) as well as providing essential ecosystem services. The existence of livestock in these areas heavily relies on the effective management of natural resources (annual pastures and water stored in ponds built ad hoc). The present work aims to assess the water availability in these ponds by developing equations to estimate the water volume based on the surface area, which can be quantified by means of remote sensing techniques. For this purpose, field surveys were carried out in September 2021, 2022 and 2023 at ponds located in representative farms, using unmanned aerial vehicles (UAVs) equipped with RGB sensors and survey-grade global navigation satellite systems and inertial measurement units (GNSS-IMU). These datasets were used to produce high-resolution 3D models by means of Structure-from-Motion and Multi-View Stereo photogrammetry, facilitating the estimation of the stored water volume within a Geographic Information System (GIS). The Volume–Area–Height relationships were calibrated to allow conversions between these parameters. Regression analyses were performed using the maximum volume and area data to derive mathematical models (power and quadratic functions) that resulted in significant statistical relationships (r2 > 0.90, p < 0.0001). The root mean square error (RMSE) varied from 1.59 to 17.06 m3 and 0.16 to 3.93 m3 for the power and quadratic function, respectively. Both obtained equations (i.e., power and quadratic general functions) were applied to the estimated water storage in similar water bodies using available aerial or satellite imagery for the period from 1984 to 2021.

Balancing livestock production and environmental outcomes in northern Australia’s tropical savanna under global change

Abstract Livestock production is an integral part of the global food system and the livelihoods of local people, but it also raises questions of environmental sustainability due to issues such as greenhouse gas (GHG) emissions, biodiversity decline, land degradation, and water use. Further challenges to extensive livestock systems may arise from changes in climate and the global economy (particularly variation in prices for livestock and carbon). However, significant potential exists for both mitigating these impacts and adapting to change via altering stocking rates, managing fire, and supplementing cattle diets to reduce methane emissions. We developed an integrated, spatio-temporal modelling approach to assess the effectiveness of these options for land management in northern Australia’s tropical savanna under different global change scenarios. Performance was measured against a range of sustainability indicators, including environmental (GHG emissions, biodiversity, water intake, and land condition) and agricultural (profit, beef production) outcomes. Our model shows that maintaining historical stocking rates is not environmentally sustainable due to the accelerated land degradation exacerbated by a changing climate. However, planned early dry season burning substantially reduced emissions, and in our simulations was profitable under all global change scenarios that included a carbon price. Overall, the balance between production and environmental outcomes could be improved by stocking below modelled carrying capacity and implementing fire management. This management scenario was the most profitable (more than double the profit from maintaining historical stocking rates), prevented land degradation, and reduced GHG emissions by 23%. By integrating the cumulative impacts of climate change, external economic drivers, and management actions across a range of sustainability indicators, we show that the future of rangelands in Australia’s savannas has the potential to balance livestock production and environmental outcomes.

Effects of inorganic and organic pollution on development of Steindachneridion melanodermatum from the Iguaçu river, Brazil

The Iguaçu River basin, known for its rich endemic ichthyofauna, faces a significant threat from chemical pollution. The Jordão River, a major tributary, drains extensive agricultural and livestock areas and receives poorly treated domestic and industrial effluents before joining the Iguaçu River. This study investigated the pollution and toxic effects of water samples from the Iguaçu upstream (UI), Jordão (JR), and their confluence (DI) on Steindachneridion melanodermatum embryos and larvae. Chemical analyses of the water samples revealed that most contaminants were present at levels below detection limits or within the limits established by Brazilian legislation. However, cadmium in UI, aluminum in JR, and lead in DI exceeded the legal limits. Exposure up to 96 h post-fertilization revealed higher mortality and deformity rates in individuals exposed to water samples from UI and JR, despite JR having fewer detected pollutants. JR and DI samples induced increased superoxide dismutase activity, indicating activation of the antioxidant defense system due to xenobiotic exposure. Overall, the integrated biomarker response indexes showed that individuals exposed to JR water displayed the most significant variations in their responses compared to the control treatment, suggesting a higher level of contamination and toxicity. Although a direct link between water quality and toxicity in the Jordão and Iguaçu Rivers was inconclusive, the results confirmed pollution and risks to local wildlife. The study highlighted the harmful effects of pollutants, even at low concentrations. These findings underscore the need for conservation measures to safeguard endemic and endangered species in the Iguaçu River basin. Understanding pollutant effects on native species is crucial for effective mitigation strategies and ecological health preservation.

Pasture Quality Assessment through NDVI Obtained by Remote Sensing: A Validation Study in the Mediterranean Silvo-Pastoral Ecosystem

Monitoring the evolution of pasture availability and quality throughout the growing season is the basis of grazing management in extensive Mediterranean livestock systems. Remote sensing (RS) is an innovative tool that, among many other applications, is being developed for detailed spatial and temporal pasture quality assessment. The aim of the present study is to evaluate the potential of satellite images (Sentinel-2) to assess indicators of pasture quality (pasture moisture content, PMC, crude protein, CP and neutral detergent fiber, NDF) using the normalized difference vegetation index (NDVI). Field measurements were conducted over three years at eight representative fields of the biodiversity and variability of dryland pastures in Portugal. A total of 656 georeferenced pasture samples were collected and processed in the laboratory. The results show a significant correlation between pasture quality parameters (PMC, CP and NDF) obtained in standard laboratory methods and NDVI satellite-derived data (R2 of 0.72, 0.75, and 0.50, respectively). The promising findings obtained in this large-scale validation study (three years and eight fields) encourage further research (i) to test and develop other vegetation indexes for monitoring pasture nutritive value; (ii) to extend this research to pastures of the other Mediterranean countries, building large and representative datasets and developing more robust and accurate monitoring models based on freely available Sentinel-2 images; (iii) to implement an extension program for agricultural managers to popularize the use of these technological tools as the basis of grazing and pasture management.

Carbon Footprint of an Extensively Raised, Low-Productivity Sheep Population

Extensive traditional livestock systems currently face various threats, leading to their disappearance. An example of these extensive livestock farming systems is the production of the Lojeña sheep breed in the Sierra de Loja (Granada, Spain), with a census of 24,511 ewes in 2021. The aim of this work is to calculate the carbon footprint (CF) of this local breed in this region. This study is based on data collected from 27 Lojeña sheep farms producing weaned lambs (≤14 kg, 25 farms), fattened lambs (≈25 kg, 7 farms), culled animals (24 farms) and greasy wool (27 farms). Most of these farms (78%) were organically (ORG) certified and seven were conventionally (CONV) managed. The analysed farms represent 93% of the total number of farms producing Lojeña sheep in the Sierra de Loja. The CF was calculated with a “cradle to farm gate” approach. The average C footprints were 27.5 ± 6.8 kg CO2eq kgLW−1 for weaned lambs, 21.8 ± 8.5 kg CO2eq kgLW−1 for fattened lambs, 4.1 ± 2.6 kg CO2eq kgLW−1 for culled animals and 2.2 ± 0.6 kg CO2eq kg−1 for greasy wool, with a not statistically different average CF in ORG than in CONV farms. Enteric fermentation represents the main source of emissions (>60%) in all the products, and external feeding (including transport, and emissions from producing the feed) represents the second one (>10%). There was an inverse relationship between CF and productivity (lambs sold ewe−1 year−1), leading to lower footprints on those farms with the higher productivity. A direct relationship between CF and stocking rate (livestock units ha−1) has been identified.

A methodological framework to characterize the wildlife-livestock interface: The case of wild boar in mainland Spain

BackgroundThe representation of wildlife-livestock interface (WLI) at an accurate spatial resolution poses several challenges. Furthermore, there is a lack of published material providing detailed descriptions of geospatial techniques for the purpose of producing visual results that are interpretable and contrastable for epidemiological analysis. ObjectivesOur aim is to develop a standardized, applicable, and scalable methodological framework for describing and characterizing the WLI across a large spatial extent. Subsequently, we aim to employ this framework to depict specific WLI based on different epidemiological scenarios determined by the abundance of wild boar (Sus scrofa) and domestic ungulates as an illustrative case, specifically focusing on mainland Spain. MethodsTo establish a methodological framework, we merged data from both wild and domestic sources into a hexagonal grid. We utilized data on wild boar hunting and the locations of pig, cattle, sheep, and goat farms in mainland Spain. New variables were derived from this combined dataset to illustrate the overlapping abundance between wild boar and domestic species. Finally, a cluster analysis of the generated variables was carried out, with the aim of distinguishing and characterizing various scenarios of the wild boar-domestic ungulate interface in mainland Spain. ResultsThe hexagonal grid proved appropriate to represent and evaluate the WLI at fine spatial resolution over such broad extent. Despite the inability to ascribe a dominant livestock type and production system to a specific region, we were able to identify fifteen main areas of interest in terms of overlap. As for extensive livestock, normally at the highest risk of interaction with wild boar, the primary regions in Spain were those with dehesa agroecosystem and the Atlantic areas. Certain scenarios were particularly relevant in terms of risk for interaction and subsequent transmission of disease, namely, the case of extensive pig production in south western Spain (dehesa agroecosystem), which is especially concerned about the potential introduction of African Swine fever (ASF) in the Country. Discussion and conclusionsWe provide a basis for visualizing and understanding of different WLI scenarios, which is extensible to other regions and interfaces, and automatable where precise source of data from wildlife and livestock are available. This spatial statistics framework enables the utilization of high-resolution data, ensuring consistency on uniform grids. This aligns with the needs of high-resolution disease dissemination models based on wildlife behaviour. Such aspects are crucial for developing risk assessment and improving strategies for the prevention, control, and eradication of shared priority emerging diseases at national and international levels, such as ASF.

GIS-based methodology for tracking the grazing cattle site use

Interest in tracking and monitoring animals in livestock farming using wearable sensors has been steadily increasing. The use of these devices is particularly crucial in extensive livestock systems where direct interaction between animals and farmers is infrequent, necessitating strenuous efforts in long-distance herd monitoring. Internet of Things (IoT) technologies offer a promising solution to address the challenges posed by vast distances, enabling real-time and remote animal monitoring. In this study, an experimental trial was conducted using a custom-designed device, located in a Polyvinyl Chloride (PVC) case, specifically tailored to fit onto a collar. This case incorporates an integrated SigFox communication system, i.e., a Low Power Global Positioning System (LP-GPS) omnidirectional system, and a power supply. The trial took place in two grazing areas located in different territorial zones, designated as Case Study I and II. A LP-GPS collar was provided for each selected animal, and the data were recorded at 20-min intervals for Case Study I and 10-min intervals for Case Study II. The acquired data were then imported and analysed using Geographical Information Systems (GIS) software. Information was collected through a purpose-built web application (AppWeb). The objective was to analyze those territorial areas mostly occupied by animals within the two considered grazing areas by developing a GIS-based methodology. Specifically, customized algorithms such as Heatmap and Kernel Density Estimation (KDE) plugins were employed to conduct spatial analyses. The maps obtained through Heatmap plugin, showed the temporal-spatial distribution of animals within their grazing areas. Additionally, the KDE tool was used to classify preferred territorial areas, generating tailored charts for each animal in the sample. The individual Core Areas, determined through KDE evaluation for each animal, were overlaid to provide a comprehensive analysis of the monitored animals.The results achieved applying the GIS-based methodology facilitated the identification of animal positions and could be adopted to provide insights into feeding behavior and soil erosion, thereby aiding in the prevention of environmental issues.

Activity of bats (Chiroptera) in extensive livestock systems in the Colombian Caribbean

Introduction: Extensive cattle ranching in tropical dry forest areas (TDF) has caused the transformation of natural ecosystems and altered the behavior of associated organisms, generating variation in activity patterns. In bats, the activity pattern is affected by the composition and vegetation structure of the ecosystem, and by the climatic season (dry and rainy). Objetive: In this study, the effect of conventional management systems (CS) and silvopastoral (SPS) of extensive livestock management on the bat activity patterns in the Colombian Caribbean was determined. Methods: The activity pattern of bats in TDF fragments associated with CS and SPS was compared within an annual cycle. The daily activity patterns of 11 species with records of more than 10 days in within management systems were determined. Results: Greater bat activity was recorded during the rainy season. We found that although bats show behavioral adaptation to the different management systems, in TDF fragments associated with SPS there is greater bat activity throughout the year, compared to the activity recorded in CS. Species with higher energetic requirements and degree of specialization (Phyllostomus hastatus, P. discolor and Glossophaga soricina) modified their activity patterns between CS and SPS management types. Conclusion: The TDF fragments associated in SSP, due to the vegetation composition and structure, probably favor the constant supply of resources suitable for the bats assemblage stability.

Article Socio Economic Impacts of Insufficient Cow Milk Production in Mauritius

Aims: Due to the increase in purchasing power, milk and dairy products have increased steadily in recent years. However, milk production remains insufficient to satisfy the high local demand for milk and dairy products in Mauritius. Adding to the problem of the sector's extinction is the lack of information on the socio-economic impact of dairy production. This study aimed to assess the socio-economic impact of milk production on dairy cattle farms in Mauritius. Methodology: A survey was carried out among 11 respondents in Mauritius, using a validated two-part questionnaire to collect data from dairy farmers and processors. Results: The survey showed that the majority of dairy farmers were ethnic Hindus with secondary (77.8%) or university (22.2%) education. The breeds of cattle raised are generally Creole (56%) and Friesian (44%) with extensive livestock farming being practised. For the majority (77.8%) of respondents, family members are the primary source of labour. The main purpose of raising cattle is to produce milk (55.5%). The price of a litre of milk varies between dairy farmers, ranging from Rs 45 to Rs 70 per litre, with an average of Rs 58 per litre, and the revenue per cow per day averages Rs 1.036. About cheese production, the source of acquisition of cheese production technology is apprenticeship. From an economic point of view, with regard to yield, cost of production and profit margin for cheese production, we were faced with a total refusal of response from the producers. However, the quantity of milk used per day, the quantity of cheese obtained and the unit price per kg of cheese vary from one producer to another. Conclusion: This study has led to the realization that milk is the source of livelihood for the farmer and his family but also for other consumers. The income from the sale of milk contributes to the purchase of food for the farmer’s household and livestock supplements. However, the size of the herd and the low production of milk are an obstacle to the development of this sector.

Landscape connectivity in extensive livestock farming: an adaptive approach to the land sharing and land sparing dilemma

This study investigates the “land sharing” versus “land sparing” dilemma in the context of extensive cattle ranching in Chiapas, Mexico. Employing a comprehensive methodology that synthesizes various systems and uses a normalized matrix for relative priority assessment, we identified several geographic variables as zoning criteria. These criteria encompass the hemerobic index, proximity to structurally intact forests, fire frequency, and terrain slope, aiming to identify areas optimal for conservation. Our results highlight properties with high conservation potential and propose two distinct connectivity scenarios, both excluding currently preserved areas. The analysis focuses on the interplay between connectivity and hemeroby, identifying human-influenced regions within the landscape and emphasizing the importance of tree conservation in agricultural contexts for biodiversity preservation. By tackling the “land sharing” vs. “land sparing” debate, the study underscores the necessity of sustainable livestock practices and the critical role of connectivity in ranching landscapes for ecosystem preservation.

Navigating social-ecological changes: A mixed-method analysis of extensive livestock systems in southern Patagonian forests, Argentina.

Sustainable livestock management plays a crucial role in food production, climate change mitigation, and cultural preservation. Our study aimed to identify and analyse the diversity of social-ecological conditions that characterize extensive livestock systems in southern Patagonia. We integrated data collected from interviews and secondary sources and analysed data using hierarchical cluster analysis and non-metric multidimensional scaling to identify distinct ranching types. A qualitative analysis of key informant interviews identified key social-ecological changes for each type. The results emphasize the impact of administration, production, and biophysical factors on shaping different livestock ranching schemes. Further, we identified three significant social-ecological changes driving the dynamics of these systems, including shifts from (1) sheep to cattle ranching, (2) domestic to feral cattle ranching, and (3) landowners to tenant land managers. These findings have implications for policymakers seeking to develop strategies tailored to diverse realities, ensuring the sustainability of livestock systems in Tierra del Fuego.

The effectiveness of a virtual fencing technology to allocate pasture and herd cows to the milking shed

Virtual fencing technology provides an opportunity to rethink the management of intensive grazing systems in general, yet most studies have used products developed and applied to more extensive livestock systems. This research aimed to assess the application of a virtual fencing technology developed for the intensive pastoral dairy industry. The Halter system uses 2 primary cues, sound and vibration, and one aversive secondary cue, a low energy electrical pulse, to confine cows to a pasture allocation and remotely herd cows. Two groups of 40 mid-lactation multiparous dairy cows were studied (Bos taurus, predominantly Friesian and Friesian × Jersey, parity 1-8). Cows were milked twice per day and provided 9 kg pasture DM/day in a 24-h allocation, supplemented with 7 kg silage and 6 kg grain DM/day. Training to the Halter system occurred over 10 d after which cows were managed with the technology for a further 28 d. The type and time of cues delivered was recorded by each collar and communicated via a base-station to cloud data storage. Cows took less than a day to start responding to the sound cues delivered while held on a pasture allocation and were moving to the milking parlor without human intervention by d 4 of training. On training d 1, at least 60% of sound cues resulted in an electrical pulse. Across training d 2-10, 6.4% of sound cues resulted in a pulse. After the 10-d training period, 2.6% of sound cues resulted in a pulse. During the management period, 90% of cows spent ≤1.7 min/d beyond the virtual fence, received ≤ 0.71 pulse/d in the paddock and received ≤ 1 pulse/d during virtual herding to the parlor. By the final week of the management period, 50% of cows received zero pulses/week in the paddock and 35% received zero pulses/week during virtual herding. The number of pulses delivered per day and the pulse:sound cue ratio was lower in this study than that previously reported using other virtual fencing technologies. We conclude that the Halter technology is successful at containing lactating dairy cows in an intensive grazing system as well as at remotely herding animals to the milking parlor.

Analysis of farmers' imaginary around the transition and adoption of the new livestock reconversion model in the municipality of Cartagena del Chairá.

Traditional livestock systems have generated unfavorable changes in the ecosystem and, in turn, its management does not present sustainability in the property that runs it as the main economic activity. Therefore, the imaginary of the producer regarding the approach of livestock reconversion from traditional livestock systems to sustainable systems is unknown. The work was carried out on the Los Laureles farm, belonging to the municipality of Cartagena del Chairá, which presented extensive livestock farming as the only activity that generates economic resources. Data collection was carried out through an interview. In results and discussion, three perceptions focused on technical-productive, socio-humanistic and economic areas were obtained. The perception of the producer was positive, although the implementation of the reconversion presents external factors that directly influence the economy and availability of time of the farmer.

Soil physical properties as indicators of histosol degradation in Colombia

Changes in soil utilization exert detrimental effects on its properties, emphasizing the critical need for a thorough evaluation to mitigate their repercussions on the ecosystem. This investigation was conducted aiming to assess the physical degradation in histosol soils in the Putumayo department, Colombia, caused by alterations in land use. For this, we assessed two types of areas: those without intervention (T0) and those affected by deformation in mound structures caused by the combined actions of livestock and high moisture, commonly known as “tatucos”. The assessment categorized these areas based on the percentage deformation incidence: low degradation (T1), moderate degradation (T2), and high degradation (T3). Sampling was conducted at a depth of 15 cm, both in the tatuco-affected zone and its surrounding area. Measurements were taken for mound height and diameter, as well as physical properties such as bulk and real density, porosity, volumetric moisture, penetration resistance, and the degree of organic material decomposition. The primary land use identified in the study area was extensive livestock farming. It was established that in areas with high levels of degradation (T3), there was an average mound diameter of 151.9 ± 4.46 cm and a height of 22.7 ± 2.59 cm. Regarding physical properties in the area adjacent to the mound, there was a bulk density of 0.24 g.cm-3, a real density of 1.62 g.cm-3, and a penetration resistance of 0.71 MPa. These values were significantly higher than those observed in areas without intervention. Hence, it can be inferred that the alteration in land use is causing a substantial change in the physical properties of these soils, which are vital for the agroecosystems in the southern regions of Colombia.

Cocoa agroforestry in Brazil through a public-private partnership

Historically, Brazil was a significant cocoa producer, primarily in the Amazon region, but since the 1970s, cocoa production became increasingly replaced by extensive livestock farming. What production remained, was halted by a fungal epidemic, resulting in Brazil becoming a net importer of cocoa beans. Thanks to recent sustainable development programmes and the emergence of the bioeconomy, Brazil has since experienced renewed interest in cocoa cultivation, especially in cocoa agroforestry. Initiatives such as Mondelez's Sustainable Cocoa Production project aim to promote sustainable cocoa production, with a focus on environmental regulations and good agricultural practices. The project focuses on two regions, Bahia and Pará. In Bahia, efforts are directed towards rejuvenating cocoa crops in cabruca systems, a traditional agroforestry system where cocoa is cultivated beneath native tree canopies. Small-scale farmers received training and experimental plots demonstrated that proper management practices could control fungal disease and increase cocoa production significantly, generating increased income. In Pará, cocoa agroforestry systems are promoted as an alternative to cattle ranching, which destroyed forests to create, now degraded, pasturelands. While restoration efforts are challenging, agroforestry systems showed promising financial returns compared to cattle ranching. Local farmer organisations also benefitted from workshops and ongoing mentoring regarding their management and business capacities. A failure of the project was that in some instances, agroforestry systems were promoted more as a way to produce cocoa than as an opportunity to diversify, which must be the priority. New due diligence initiatives in Europe have also highlighted the importance of traceability and sustainability in cocoa production, posing new challenges for Brazil’s small-scale farmers. The cocoa agroforestry systems in Bahia and Pará have, nonetheless, shown potential for sustainable local development in Brazil. To ensure their success and sustainability in the long term, there must be continued support systems for farmers and value must be ascribed to the immense product diversity of cocoa agroforestry.