Raul R. Vera-Infanzón , Carlos A. Ramírez-Restrepo , Idupulapati M. Rao
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引用次数: 0
Abstract
CONTEXT
Cow-calf and fattening grazing systems in the tropical, well-drained savanna ecosystem of the Eastern Plains in the Colombian Orinoco River Basin are being intensified to enhance technical efficiency. These systems, often starting from degraded pastures, present significant challenges for both researchers and producers in analyzing and predicting their transformation.
OBJECTIVE
This study aimed to develop a model capable of simulating the multifaceted interaction between land use, beef herd management, animal productivity, enteric methane (CH4) emissions, and carbon footprint (CF) at the system level. The model should assist in making informed decisions towards sustainable beef farming systems that improve resource management.
METHODS
The model compared three alternative regional scenarios (SCEs) using conceptual medium-sized 400-ha farms. Scenario (SCE) 0 starts with degraded Urochloa humidicola pastures, followed by low-intensity rejuvenation to support a cow-calf system. SCE 1 follows a similar path but introduces, in later stages, 100 ha of moderately well-managed, better-quality U. brizantha pastures to further develop the cow-calf system. SCE 2 begins as SCE 1 but later transitions into a full-cycle beef production system. In all cases, the systems are conservatively managed to ensure sustainable production.
RESULTS AND CONCLUSIONS
The outputs of the modelled SCEs reveal and quantify the complex interplay of numerous system feedbacks, determining system outputs and identifying quantitative variables that significantly influence system behaviors. Culling rates of cows and the fattening of feeder cattle are decisive events that modify the dynamics of the beef herds over time, impacting production and greenhouse gas emission outputs. Under conservative management, all three SCEs resulted in significant increases in production ha −1 and animal units −1 (AU; 450 kg), although the magnitude and temporal development of these increases varied among SCEs. These increases were accompanied by higher enteric CH4 emissions ha −1. However, emissions substantially decreased AU −1 and kg −1 liveweight sold, reducing CFs. This highlights the potential of well-managed Neotropical beef cattle grazing systems (NBCGS) to balance productive gains with environmental sustainability, offering actionable strategies to enhance NBCGS management.
SIGNIFICANCE
This study underscores the importance of evaluating Neotropical beef cattle grazing systems (NBCGS) across various temporal and spatial dimensions and considering technical decisions. Simulation modelling constitutes a powerful tool for assessing system dynamics that are otherwise difficult to design and subject to long-term field research. This approach enables a deeper understanding of the trade-offs and interactions within NBCGS, facilitating more informed and sustainable decision-making.
期刊介绍:
Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments.
The scope includes the development and application of systems analysis methodologies in the following areas:
Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making;
The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment;
Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems;
Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.