Pasture Management Research Articles

Production strategies for controlling greenhouse gas emissions in grass-fed beef production systems

Looking at pasture-based beef cattle production systems, there needs to be more pasture management and low zootechnical indexes, which culminate in low productivity and environmental impact. In this sense, cattle farming has been labeled as harmful to the environment due to the emission of gases that can contribute to the excessive increase in the greenhouse effect. These gases are methane, nitrous oxide, and carbon dioxide, which come from ruminal fermentation, manure fermentation, and biomass management. The objective was to simulate eight scenarios: the first occurred in areas of degradation and desertification of pastures induced by livestock farming, the second occurred with the recovery of degraded pasture areas, the third occurred with the improvement of pasture management, the fourth occurred with the implementation of integrated production systems, the fifth occurred with the improvement in diet quality, the sixth occurred with the association of supplementation strategies for grazing cattle with fattening in confinement, the seventh occurred with the reduction in the feeding cycle production of beef cattle and the eighth occurred with the intensification of land use. It is concluded that the adoption of more intensive production systems proves to be more efficient, both productively and environmentally, by reducing the emission of greenhouse gases and improving zootechnical indices, guaranteeing the supply of animal protein in the face of growing demand globally.

Variability in Nutrient Content and Biochemical Parameters of Soil Under Rotational Pasture Management of Farmed Fallow Deer

Fallow deer are animals kept on large-scale pastures, which influence soil properties, including the content of nutrients in the soil and the flow of these nutrients in the soil–plant–animal system. Therefore, the aim of this case study was to analyze the variability in the macronutrient content and biochemical properties of soil under rotational grazing conditions of farmed fallow deer. Fallow deer grazed in two summer pens from April to November, and in the winter pen from December to March. The analyses included the determination of several soil parameters to capture sensitive soil changes and assess potential degradation of the soil environment in response to grazing: pHKCl, TOC, TN, N-NO3, N-NH4+, total (P, K, Mg, Ca, and Na) and available (Pav, Kav, Mgav) forms of macronutrients, and selected soil enzymes (dehydrogenase, acid phosphatase and alkaline phosphatase, and urease). The results showed that the pHKCl in the plots used by farm fallow deer was lower than in the soil of the control object. Moreover, the TN and TOC content in the soils of all pastures was statistically significantly lower than in the soil without grazing, while for TOC, the same effect was observed in the winter pasture soil. The content of N-NO3− was several times higher than that of N-NH4+ in the soils of the studied breeding plots. The relationships noted indicate that grazing is important in the transformation of soil organic matter, which is influenced by the relationship between carbon and nitrogen. In addition, the grazing of farmed fallow deer had a negative effect on the content of P in the soils of all pastures and a positive impact on the accumulation of K. Winter grazing had a positive effect on the amount of Pav and Kav in the soil, but a negative effect on the content of Mgav, compared to grazing in the summer quarters. In the plots used for pastures, the activity of soil enzymes was higher than in the control soil. It has been shown that the influence of fallow deer farming on the soil environment of pastures is not unequivocal. Therefore, long-term monitoring of changes in the properties of these soils is necessary.

Pasture performance tools: Current and future state

Measuring pasture biomass is critical to inform pasture management for optimised utilisation. Traditional techniques for measuring pasture performance are time-consuming and costly. Emerging pasture performance tools were assessed for accuracy, availability (of the tool and of data collected), calibrations used in development, and limitations. Considerable efforts have been made with new tools to reduce the time and effort required to measure pasture performance, although limitations of accuracy remain, associated with calibration methods used in development. Promising future technologies will involve greater ground truthing for validation and fusion of multiple data sources.

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.

Inside and Outside a Monopoly: Transhumant Pastoralists and the Public Management of Pastures in Southern Tuscany (14th–15th c.)

This article focuses on the interaction between transhumant pastoralists and Sienese officials within the public management of pastures in the late medieval city-state of Siena. Between 1353 and 1419, a monopolistic system of accessing common and private pastures in Southern Tuscany, called Dogana dei Paschi, was developed and established by Siena by means of law enforcement, commons expropriation and military conquest. The aim was to provide winter grazing to transhumant herds from the Apennines, the Latium and the Sienese territory in exchange of fiscal revenues. The Dogana, however, suffered from external competition and lack of control, while highly depending on foreign herds from beyond the Sienese borders. Outside the Sienese monopoly of pasturages, transhumant pastoralists were entrepreneurs, livestock owners, and shepherds with freedom of movement because of their citizenship, while under the rule of the Dogana they formed an heterogeneous pastoral community, called vergaria, provided with a special legal status, rights and duties. In both cases, pastoralists and the vergaria were in constant bargaining with Sienese officials in order to be able to graze as much and to pay as less as possible. In this regard, they contributed to shaping the legal framework of the Dogana. Examining archival records from Siena, such as laws, deliberations and trials recorded in the 14th and 15th centuries, this paper explores the legal definition, regulation and perception of transhumant pastoralists in Tuscany. It moreover analyses their bargaining power and interactions with Sienese officials concerning frauds, collusion and trespassing inside and outside Sienese borders, in order to shed light on the social structure and provenance of herders and livestock owners in late medieval Tuscany.

Outcomes of an agri-environmental scheme in the management of common pastures in northern Portugal: Social benefits and effects on local capacity for collective action

Baldios are wide areas, integrated in extensive farming systems, historically held and managed by local communities for animal grazing and other extractive activities in support of their livelihoods. This land tenure regime persisted despite successive political and socioeconomic changes that threatened its communitarian nature, profoundly influencing the socioeconomic structure of rural areas. Today, use and possession of the baldios by the local communities is safeguarded by formal legal rights. In 2007 an agri-environmental scheme (AES) designed for managing the pastures in the baldios was proposed to the commoners of two protected areas. While one was successfully implemented and is still active, the other was discontinued. This study focuses on the Peneda-Gerês National Park experience, where the AES was widely adopted, aiming to understand the effects of its implementation on local dynamics for management of baldios, looking at its social and cultural benefits, particularly regarding local capacity for collective action. Semi-structured interviews were conducted in all the baldios in the park, and a period of stay in one of the villages allowed an opportunity for deeper analysis. Other stakeholders were also interviewed (e.g., state institutions). We argue that the benefits of this scheme went beyond the direct monetary payouts, playing an important role in the revitalization of local institutions. Moreover, we conclude that in depopulated and aging rural areas, top-down site-specific agri-environmental schemes that rely on existing social and institutional structures to operate are critical to recover and/or recreate institutions and practices for local collective landscape management.

Estimation of Dry Matter Yield in Mediterranean Pastures: Comparative Study between Rising Plate Meter and Grassmaster II Probe

This study evaluates two expedient electronic sensors, a rising plate meter (RPM) and a “Grassmaster II” capacitance probe (GMII), to estimate pasture dry matter (DM, in kg ha−1). The sampling process consisted of sensor measurements, followed by pasture collection and a laboratory reference analysis. In this comparative study, carried out throughout the 2023/2024 pasture growing season, a total of 288 pasture samples were collected in two phases (calibration and validation). The calibration phase (n = 144) consisted of measurements on three dates (6 December 2023, 29 February and 10 May 2024) in 48 georeferenced sampling areas of the experimental field “Eco-SPAA” (“MG” field), located at Mitra farm (Évora, Portugal). This pasture is a permanent mixture of various botanical species (grasses, legumes, and others) grazed by sheep, and is representative of biodiverse dryland pastures. The validation phase (n = 144) was carried out between December 2023 and April 2024 in 18 field tests (each with eight pasture samples), in three types of representative pastures: the same mixture for grazing (“MG” field), a commercial and annual mixture for cutting (mowing) and conservation (“MM” field), and legumes for grazing (“LG” field). The best estimation model for DM was obtained based on measurements carried out in February in the case of the GMII probe (R2 = 0.61) and December 2023 and February 2024 in the case of RPM (R2 = 0.76). The estimation decreased very significantly for both sensors based on measurements carried out in May (spring). The validation phase showed greater accuracy (less RMSE) in “MG” field tests (RMSE of 735.4 kg ha−1 with GMII and 512.3 kg ha−1 with the RPM). The results open perspectives for other works that would allow the testing, calibration, and validation of these electronic sensors in a wider range of pasture production conditions, in order to improve their accuracy as decision-making support tools in pasture management.

Оптимизация пастбищной нагрузки на степные экосистемы аридной территории Ставропольского края

Abstract. The article considers the issues of rational use of grass of steppe phytocenoses in their pasture use; the correspondence of pasture capacity and the number of grazed livestock. The purpose of the study is to assess the current state of steppe communities used as pasture lands for grazing existing livestock of large and small cattle and to propose ways to optimize pasture livestock breeding in the arid territory of the Stavropol Territory. Methods. A statistical analysis of the number of cattle and small cattle in the study area was carried out. The expeditionary study of natural herbages was carried out in 2021–2023 on accounting sites (100 m2) according to the requirements of methods generally accepted in phytocenology. The results of the study. Statistical analysis showed that by the beginning of 2000, the number of sheep in the territory under consideration had decreased by 2.6 times, and cattle by 1.6 times. In subsequent years, with the gradual recovery of the livestock industry from the crisis, a steady increase in the number of small and large cattle was noted in this zone to 1306.1 and 74.8 thousand heads, respectively. It was revealed that the vegetation of natural lands used in pasture farming in the arid zone of the Stavropol Territory is secondary, stunted and monotonous in terms of flora composition and plant associations. The capacity of the pasture lands does not correspond to the feed needs of the grazed livestock. At the moment, the shortage of pasture feed is 323.7 thousand tons of feed units. On such pasture lands, animals do not receive food in sufficient quantities. It is recommended to optimize pasture management by limiting the pasture load and bringing the number of grazed livestock in line with the feed capacity of pasture lands. This will help to provide the existing livestock with food that meets their regulatory needs. Scientific novelty. New data have been obtained on the current state of steppe communities in the arid territory of the Stavropol Territory and the correspondence of the number of grazed livestock to the pasture capacity.

Herbage biomass predictions from UAV data using a derived digital terrain model and machine learning

AbstractMore than 70% of Switzerland's agricultural area is covered by grasslands that often exhibit highly diverse species compositions and heterogeneous growth patterns. An essential requirement for efficient and effective pasture management is the regular estimation of herbage biomass. While various methods exist for estimating herbage biomass, they are often time‐consuming and may not accurately capture the variability within pastures. This highlights the need for more efficient, accurate estimation techniques. To help improve herbage biomass estimation, we present estiGrass3D+, a Random Forest model. This model predicts pasture biomass using a digital terrain model (DTM) derived from a digital surface model (DSM) for sward height modelling, along with vegetation indices and agronomic variables from UAV images only. The model was successfully evaluated with independent test data from different sites on the Swiss central plateau, including both grazed and mown areas. Model performance on an independent validation dataset achieved a NRMSE of 20.3%, while the training dataset had an NRMSE of 21.5%. These consistent results confirm that estiGrass3D+ is both transferable and applicable to unseen data while maintaining accuracy and reliability across different datasets. The wide applicability of our method demonstrates its practicality for predicting herbage biomass under different pasture management scenarios. Additionally, our method of deriving a DTM directly from a DSM simplifies the measurement of grass sward height by UAVs, eliminating the need for prior ground control point (GCP) marking and subsequent aligning, enhancing the efficiency of herbage biomass estimation.

A picit jeu: Agent-based modelling with serious gaming for a fire-resilient landscape

Wildfire governance requires addressing driving physical, biological and socio-economic processes, by promoting the development of fire-resistant and resilient landscapes. These landscapes can best be achieved by strategies that integrate fuel management for direct prevention with allied socio-economic activities, through the collaboration of stakeholders with different and sometimes conflicting interests. This work aims to address the need for new approaches supporting the participatory process of collective decision-making, helping stakeholders explore land management strategies for landscape fire resilience. We present and discuss a methodology combining agent-based modelling with a role-playing game. It was tested in a valley of the Italian Alps, involving 23 local stakeholders in forest and pasture management in three game sessions. Evaluation was based on observation of game sessions, collection of feedback via immediate post-session debriefing and questionnaires, and long-term (multi-year) assessment carried out through semi-structured interviews. We found the methodology valuable for facilitating discussion among different stakeholders, who were able to identify context-related challenges (land fragmentation and land abandonment, stakeholders' limited collaboration, controversial drives of European funding) and possible strategies for producing a fire-resilient landscape (community management forms of pastoralists activities for maintaining land cover diversity). The approach also triggered a positive process for longer-term change. By analysing the outcomes, we are able to identify four key recommendations for future work using serious gaming for sustainable landscapes: 1) aim for an even composition of session groups, 2) consider the multiple levels of organisation in the area, 3) use the allocation of game roles to disrupt power dynamics, and 4) seek to involve the broadest stakeholder spectrum in developing the game itself.

PSII-6 Tick infestation and its implications on health and welfare of cattle under pastoral system in Nigeria

Abstract The pastoral system is a predominant form of cattle production in Nigeria, characterized by extensive grazing on communal lands. However, this system is challenged by various factors, including tick infestation, which significantly affects cattle health and welfare hence this investigation which aims to provide an in-depth understanding of tick infestation in the context of Nigerian pastoral systems, emphasizing its impact on cattle health and welfare. The country harbors a diverse array of tick species that affect cattle. These ticks belong to different genera, including Rhipicephalus, Amblyomma, and Hyalomma, among others. Each species has unique characteristics, life cycles, and host preferences, contributing to the complexity of tick infestation dynamics in pastoral settings. Tick infestation has numerous detrimental effects on cattle health. The direct effects include blood loss, anemia, skin damage due to feeding, and the transmission of pathogens that cause diseases such as anaplasmosis, babesiosis, and theileriosis. Indirectly, tick infestation can lead to reduced productivity, weight loss, and increased susceptibility to other diseases. The welfare of cattle in Nigerian pastoral systems is significantly impacted by tick infestation. Infested cattle often exhibit signs of distress, including restlessness, reduced grazing activity, and altered behavior. Furthermore, the discomfort caused by tick bites can lead to chronic stress, compromising the overall welfare of the animals. Effective tick control is crucial for mitigating the impact of infestation on cattle health and welfare. Strategies such as acaricide application, pasture management, genetic selection for tick resistance cattle, and vaccination against tick-borne diseases are commonly used. Tick infestation presents a significant challenge to cattle production under the pastoral system in Nigeria. It not only impacts cattle health but also compromises their welfare. Addressing the issue of tick infestation requires a multifaceted approach that integrates effective control strategies with sustainable management practices. Further research is needed to develop tailored interventions that account for the unique characteristics of Nigerian pastoral systems, ultimately ensuring the well-being and productivity of cattle in these settings.

456 Allocating distribution of pasture utilization across the grazing landscape in grazing steers equipped with virtual fencing collars

Abstract Spatial utilization of pasture landscapes by grazing animals is often heterogeneous and driven by complex environmental and physiological interactions between plants and animals. Synergistic energy pathways can be modeled using mechanistic relationships describing resource distribution, animal behavior, metabolic energy rate, and pasture utilization using biometric sensors. The objective of this study was to demonstrate the ability to measure the energy landscape by mapping fine-scale contributions to animal energy expenditure, nutrient acquisition, growth, and overall economic profitability. We utilized animal trajectories and location fixes recorded by virtual fencing collars (Vence) daily body weight (BW) using precision livestock scales (Smartscale, C-Lock Inc.) and oxygen consumption (GreenFeeds, C-Lock Inc.) on steers (n = 127), managed as part of a broader project to evaluate environmental synergies in extensive grazing systems. Steers were allocated to one of six native grass pastures assigned to either rotational or continuous grazing strategies, and one of three stocking rates (low, moderate, high) in a 2 x 3 factorial arrangement. Space utilization was quantified as the frequency of fixes located within each cell of a 5 x 5-meter Grid and the distance between grid cells and water was calculated using the Pythagorean theorem. Movement behavior was quantified using Program R to calculate step length, the distance between two temporally continuous fix points utilizing the Pythagorean Theorem, and turn angles calculated as the cosine of the pre- and pro-ceeding step lengths where larger values indicated greater deviation from a straight trajectory. A mixed linear regression model was fitted using the lmer function in the lme4 package. Space utilization decreased with increased distance from water (P < 0.05), with rotational grazing strategies increasing concentration around water sources (P < 0.05). This indicates an opportunity to utilize precision livestock technology to facilitate pasture management and increase space utilization in grazing cattle.

218 Comparison between vegetation indices to estimate biomass in cereal rye

Abstract Accurate forage mass estimation can lead to improved pasture management, but it requires a significant investment of time on the ground sampling. The use of satellite images has potential to reduce the time needed and thus, expediting decision-making processes. Satellite measure various spectral wavelengths of light reflected by plants (i.e., reflectance), and using satellite images, various vegetation indices (VI) can be calculated, such as the Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), the Green Normalized Difference Vegetation Index (GNDVI), and the Spectral Feature Depth Vegetation Index (SFDVI). Each of these indices shows different vegetation properties via mathematical combinations of reflectance in two or more spectral wavelengths. For example, NDVI is calculated by reflectance in red and near infrared wavelengths, which is an effective VI to quantify vegetation greenness and vigor. This study aimed to compare the mentioned VI to evaluate their ability in estimating cereal rye (Secala cereale) mass and to compare them with a traditional method of biomass measurement, which relies on the standing height of the forage. From May 2 to 23, 2023, forage mass was measured in 18 paddocks (1.6 ha/paddock). Mass in the paddock was estimated by clipping four randomly located frames (0.49 m2) to ground level. The standing height of the forage was collected from 20 random points, measured in 0.625 cm increments, within each paddock. The forage mass of the paddocks measured from the clipped forage ranged from 212 to 3,382 kg/ha. PlanetScope satellite images from the day of forage mass sampling were obtained using the Planet Explorer platform. This satellite data was chosen due to its high spatial resolution (3 x 3 m2/pixel) and highly available data (theoretically daily). The four VI were calculated from images in QGIS software. A linear regression of each index against the forage mass estimated from the average of the clipped forage, was conducted in SAS using PROC REG. There was a significant (P < 0.01) correlation between each VI with the forage mass. The adjusted R2 was 0.60, 0.58, 0.41, 0.78 and 0.76 for NDVI, EVI, GNDVI, SFDVI and standing height, respectively. The root mean square error (RMSE) was 518, 528, 629, 379, and 396 for NDVI, EVI, GNDVI, SFDVI, and standing height, respectively. All VI exhibited moderately promising results in cereal rye mass estimation. In particular, SFDVI proved to be superior with the greatest adjusted R² and least RMSE, followed by the traditional method of estimating forage mass by standing height. This comparable result between the use of SFDVI from satellite images and traditional ground measurement indicates that the use of VI, SFDVI, specifically in our study, from satellite images can be an effective means for a fast cereal rye mass estimation.

Interpreting the spatial distribution of soil properties with a physically-based distributed hydrological model

Digital soil maps are commonly data-driven as the development of physically-based models for soil mapping is difficult due to the complexity of soils. However, physically-based hydrologic models have been successful in simulating water dynamics. Since water movement is a major driver of pedogenesis, the physical rules that govern water movement might help explain and predict the spatial variation of soil properties. Here, we demonstrate the novel use of a physically-based, distributed hydrologic model to inform the spatial distribution of soil properties. The Distributed Hydrology Soil Vegetation Model (DHSVM) was utilized to simulate soil moisture content (SM) and water table depth (WTD) in two hillslope catchments under pasture and forest management wherein hydrologic model outputs were then compared with soil properties measured in situ. SM sensors and wells were installed in both catchments to validate simulations of soil water movement via Nash-Sutcliffe Efficiency (E). In-situ observations were made at 87 sites within both catchments to study the connection between simulated water movement (SM and WTD) and observed soil properties, namely the depth and thickness of the argillic (Bt), fragic (Btx), and C horizons, and the depth of redoximorphic features. The simulated time series of SM and WTD were also clustered per season using Dynamic Time Warping (DTW), which identified similarity among time series at varying timescales. Model validation suggested that simulations of surficial SM (0–20 cm) were reasonable (E = 0.45), however, simulated subsurface SM (45–60 cm) and WTD were not sufficiently accurate. The thickness of Btx horizons were spatially grouped into different populations by SM clusters from every season except spring. For the other properties, only SM dynamics of specific seasons grouped into significantly different populations, suggesting that the explanatory power of simulated water movement varies seasonally and was greater during winter. Here, we show clusters of simulated SM separated soil properties into statistically different populations, showing that hydrologic models could inform areas that followed different water dynamics related to pedogenic trajectories and related biogeochemical processes not necessarily simulated by the model. As such, physically-based modeling of water dynamics can, therefore, inform and advance digital soil mapping by linking water movement patterns stemming from hydrologic model outputs to spatial patterns of soil properties and pedogenesis.

Forest Melioration and Pasture Management in the Caspian Region

Forest Melioration and Pasture Management in the Caspian Region

Quantifying the Potential of the Tropical Dry Region of the Gulf of Mexico to Provide Tree Species with Traditional Uses for Forest-Reliant Communities

The tropical dry regions in the Neotropics are under intense anthropogenic pressures, resulting in changes for local communities related with their life patterns, wellbeing, and their relationship with ecosystems. The region has a history of human occupation that has shaped the traditional use of resources. We evaluated the richness, redundancy, and divergence of traditional uses of tree species present in vegetation patches of the tropical dry region of the Gulf of Mexico using functional diversity indices. The most used species are Acacia cochliacantha, Cedrela odorata, Enterolobium cyclocarpum, Gliricidia sepium, and Guazuma ulmifolia, and the uses with the broadest distributions across the region are firewood and pasture management, while reforestation is the least common use. While distance to the nearest patch of the closest human settlement is the most predictive variable associated with inhabitants’ different uses or recognitions of the value of different plant species, the most recognized and valued species are widely distributed in Mexico. Even when the forest cover is greatly reduced, the inhabitants recognize numerous uses that can be obtained from the vegetation patches. The approach used in this work provides important baseline information, as well as a methodology that facilitates the identification of priority areas for conservation.

Mixed grazing of cattle with sheep and goats as a solution for livestock farmers in Greece and other countries around the Mediterranean Sea: a review

The management of common pastures is often a matter of conflict between cattle farmers and small ruminants (goats and sheep), especially in areas with small pastures and low capacity. This conflict is reflected in a relevant opinion survey in Evrytania (Central Greece) where cattle farmers consider that cattle can graze together with goats and/or sheep while goat and sheep farmers consider that cattle should be restricted to separate pastures. However, international experience as reflected in publications, mainly from the USA, shows that the co-grazing of cattle with goats and/or sheep, under certain conditions, can yield multiple benefits which have not been particularly highlighted in Greece. The aim of this paper is to investigate the potential of co-grazing of cattle with small ruminants and to list the benefits of this practice.

From Traditionally Extensive to Sustainably Intensive: A Review on the Path to a Sustainable and Inclusive Beef Farming in Brazil.

Brazil is the second largest beef producer and a leading exporter, contributing to some 3000 t CWE in global markets (27.7% of market share). The sector has experienced substantial development, but yields remain far below potential, and there are growing concerns regarding land use change and greenhouse gas emissions. The need for sustainable technologies, such as sound pasture management and integrated farming systems, is evident, but adoption may be low amongst farmers unable to keep up with technological advances. This article describes the historical developments of Brazilian beef farming towards sustainability and discusses possible socioenvironmental outcomes. We combined an extensive literature review, public data, and our own insights as senior researchers to achieve that. The trajectory shown here evidenced the technological intensification of Brazilian beef farming, with strong support of public policies for decarbonizing agriculture. Nonetheless, the pace of this transition may affect small to medium farmers with limited access to information, technologies, and credit. Our recommendations involve a broad program of technical assistance and training on sustainable technologies, including financial and digital literacy. A novel approach to financing farmers is suggested to support a sustainable and inclusive transition in beef farming in Brazil.

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.

Remote Sensing Applied to Pasture Monitoring: A Review

Objective: The goal of this study was to review the results obtained by various authors for large-scale pasture monitoring via remote sensing; to monitor the development and degradation conditions of pastures according to case studies; and to analyze data, images, and Geographic Information System (GIS) procedures in relevant works. Theoretical Framework: In this topic, the principles that guided the literature review are presented, including a discussion of the search for remote sensing results related to pastures in large geographical areas, and case studies in works that denote the technological potential from field sampling and results worldwide are also presented. Method: Research methods associated with different themes, keywords, and regions were adopted to identify results from research in the area of remote sensing applied to surveying the conditions of pastures in the different typologies in the studied regions. Results and Discussion: The literature review in this study highlights the advances and methodologies developed for the evaluation of pasture conditions and mapping, from which it was possible to observe the stage of degradation of this vegetation, which is essential for agricultural production. Research Implications: The potential of using remote sensing materials and mechanisms for pasture assessment, mapping areas in stages of degradation and identifying vegetation vigor is highly valuable in large-scale pasture management. The presented literature indicates that pasture vegetation varies greatly according to geographic region, indicating great complexity in deriving its phenological conditions and showing that field campaigns are essential for the description and establishment of a relationship between the foliar canopy and sensor response. Originality/Value: This literature review addresses large-scale remote sensing surveys of pastures, contributing to research on the conditions of this vegetation. The bibliography presented in this review can support studies on mapping the pasture degradation process through remote sensing images and data.