Thomas P. Baker , Jacqueline R. England , Shaun T. Brooks , Stephen B. Stewart , Daniel Mendham
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引用次数: 0
Abstract
CONTEXT
Agroforestry provides numerous benefits to agricultural landscapes, including timber production, carbon sequestration and enhanced biodiversity. Critically, agroforestry also influences the productivity of pasture, crops, and livestock. The magnitude and direction of the effect, however, is highly variable due to factors including the type of agroforestry (e.g., windbreak, alley, silvopasture), the condition of the trees (e.g., height, age, species), planting location and climatic conditions. However, currently there is limited information that quantifies how variation in these drivers affects the influence of agroforestry on agricultural yields.
OBJECTIVES
In this quantitative review we aimed to determine the magnitude of the effect that silvopasture, paddock trees and linear agroforestry systems have on agricultural productivity relative to a treeless comparison. In addition, we attempted to understand how the effect of agroforestry varied with factors such as tree condition, climate, and weather.
METHODS
A global literature review was conducted examining two key agroforestry types (non-intercropped linear systems such as windbreaks and hedges, and dispersed pasture systems such as paddock trees and silvopasture). Agricultural productivity responses of these systems compared to a treeless control were extracted and the size of the effect was compared to a range of conditions of the agroforestry systems e.g. tree density, age, distance to tree, as well as a range of climate and weather conditions.
RESULTS AND CONCLUSIONS
For the agroforestry types examined we found a strong evidence base for the effects on crop/pasture growth for linear agroforestry types (windbreaks, alleys) and on pasture growth in paddock tree/silvopasture systems (crop growth was not examined in these systems). There was limited information on the effects of linear agroforestry systems on livestock production. Linear agroforestry features were generally beneficial for crop and pasture growth. By comparison, silvopasture systems resulted in a reduction in both pasture and livestock productivity, although such systems are likely to provide other benefits for mitigating risk. Tree condition was a major factor driving effect size, the most prominent drivers being paddock size in linear configurations, and tree density in silvopasture systems. Climate variables also influenced the effect of agroforestry on productivity, indicating that both local and seasonal climate variation needs be considered when predicting effect sizes.
SIGNIFICANCE
This study provides important baseline information for valuing the effects linear and dispersed agroforestry types have on farm productivity and predicting under what conditions these effects will be optimised. Such information will aid in designing and implementing effective agroforestry systems.
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.