Yield-SAFE: A parameter-sparse, process-based dynamic model for predicting resource capture, growth, and production in agroforestry systems

Werf, Wopke Van der; Keesman, Karel J.; Burgess, Paul J.; Graves, Anil; Pilbeam, David J.; Incoll, L. D.; Metselaar, Klaas; Mayus, M.; Stappers, Roel J. J.; Keulen, H. van; Palma, J.H.N.; Dupraz, Christian

doi:10.1016/j.ecoleng.2006.09.017

Cited by 116 publications

(84 citation statements)

References 15 publications

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“…Most models ignore the spatial heterogeneity of plant mixtures, and simplify the system to a one-dimensional representation. They include CROPSYS (Caldwell and Hansen, 1993), APSIM (Carberry et al, 1996), Yield-sAFe (van der Werf et al, 2007), and GEMINI (Soussana and Lafarge, 1998). Those models mimic sole crop modelling, considering the system to be composed of two species instead of one, and assume that both aboveground and belowground stand components are horizontally homogeneous.…”

Section: Tropical Agroforestsmentioning

confidence: 99%

Mixing Plant Species in Cropping Systems: Concepts, Tools and Models: A Review

Malézieux

Crozat²,

Dupraz³

et al. 2009

Sustainable Agriculture

138

137

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-The evolution of natural ecosystems is controled by a high level of biodiversity, In sharp contrast, intensive agricultural systems involve monocultures associated with high input of chemical fertilisers and pesticides. Intensive agricultural systems have clearly negative impacts on soil and water quality and on biodiversity conservation. Alternatively, cropping systems based on carefully designed species mixtures reveal many potential advantages under various conditions, both in temperate and tropical agriculture. This article reviews those potential advantages by addressing the reasons for mixing plant species; the concepts and tools required for understanding and designing cropping systems with mixed species; and the ways of simulating multispecies cropping systems with models. Multispecies systems are diverse and may include annual and perennial crops on a gradient of complexity from 2 to n species. A literature survey shows potential advantages such as (1) higher overall productivity, (2) better control of pests and diseases, (3) enhanced ecological services and (4) greater economic profitability. Agronomic and ecological conceptual frameworks are examined for a clearer understanding of cropping systems, including the concepts of competition and facilitation, above-and belowground interactions and the types of biological interactions between species that enable better pest management in the system. After a review of existing models, future directions in modelling plant mixtures are proposed. We conclude on the need to enhance agricultural research on these multispecies systems, combining both agronomic and ecological concepts and tools. species mixture / plant mixture / cropping system / agroforestry system / agrobiodiversity / resource sharing / crop model / competition / facilitation

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Section: Tropical Agroforestsmentioning

confidence: 99%

Mixing Plant Species in Cropping Systems: Concepts, Tools and Models: A Review

Malézieux

Crozat²,

Dupraz³

et al. 2009

Sustainable Agriculture

138

137

View full text Add to dashboard Cite

show abstract

“…Most of the seemingly reliable crop models are limited to single-species systems where the interaction between plants are restricted to resource utilization among same species (Steduto et al, 2009). This is not to ignore or belittle the modeling work on intercropping systems, and on tree-crop interactions including WaNuLCAS (VanNoordwijk and Lusiana, 1998) and the SAFE family of models (Vander Werf et al, 2007;Graves et al, 2011). As Luedeling et al (2014) and Bayala et al (2015) have pointed out, the complex nature of arrangement of species within agroforestry systems hinders the progress in their modeling.…”

Section: Future Scenarios and Directionsmentioning

confidence: 99%

Managed Multi-strata Tree + Crop Systems: An Agroecological Marvel

Nair

2017

Front. Environ. Sci.

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Today, when the emphasis on single-species production systems that is cardinal to agricultural and forestry programs the world over has resulted in serious ecosystem imbalances, the virtues of the time-tested practice of growing different species together as in managed Multi-strata Tree + Crop (MTC) systems deserve serious attention. The coconut-palm-based multispecies systems in tropical homegardens and shaded perennial systems are just two such systems. A fundamental ecological principle of these systems is niche complementarity, which implies that systems that are structurally and functionally more complex than crop-or tree monocultures result in greater efficiency of resource (nutrients, light, and water) capture and utilization. Others include spatial and temporal heterogeneity, perennialism, and structural and functional diversity. Unexplored or under-exploited areas of benefits of MTC systems include their ecosystem services such as carbon storage, climate regulation, and biodiversity conservation. These multispecies integrated systems indeed represent an agroecological marvel, the principles of which could be utilized in the design of sustainable as well as productive agroecosystems. Environmental and ecological specificity of MTC systems, however, is a unique feature that restricts their comparison with other land-use systems and extrapolation of the management features used in one location to another.

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“…A digital terrain map was also used to determine aspect and thereby the amount of solar radiation that a site would receive relative to a horizontal area. Using the soils data and a climate series of daily solar radiation, temperature and rainfall data from the area, estimates of the yield (dry matter basis) was made for each crop type using the daily time-step Yield-SAFE model [35].…”

Section: Crop and Tree Yieldsmentioning

confidence: 99%

A framework for reviewing the trade-offs between, renewable energy, food, feed and wood production at a local level

Burgess

Casado

Gavu

et al. 2012

Renewable and Sustainable Energy Reviews

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High fuel prices and concerns about energy security and anthropogenic climate change are encouraging a transition towards a low carbon economy. Although energy policy is typically set at a national level, tools are needed for people to engage with energy policy at regional and local levels, and to guide decisions regarding land use, distributed generation and energy supply and demand. The aim of this paper is to develop a percapita approach to renewable energy demand and supply within a landscape and to illustrate the key trade-offs between renewable energy, food, feed and wood production.The chosen case study area (16000 ha) of Marston Vale, England is anticipated to have a population density midway between that for England and the UK. The daily per capita demand for energy for heat (31 kWh), transport (34 kWh) and electricity (15 kWh) when combined (80 kWh) was seven-fold higher than the combined demand for food (2 kWh), animal feed (6 kWh), and wood (4 kWh). Using described algorithms, the combined potential energy supply from domestic wind and photovoltaic panels, solar heating, ground-source heat, and municipal waste was limited (<10 kWh p -1 d -1 ).Additional electricity could be generated from landfill gas and commercial wind turbines, but these have temporal implications. Using a geographical information system and the Yield-SAFE tree and crop yield model, the capacity to supply bioethanol, biodiesel, and biomass, food, feed and wood was calculated and illustrated for three land-use scenarios. These scenarios highlight the limits on meeting energy demands for transport (33%) and heat (53%), even if all of the arable and grassland area was planted to a high yielding crop like wheat. The described framework therefore highlights the major constraints faced in meeting current UK energy demands from land-based renewable energy and the stark choices faced by decision makers.

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Yield-SAFE: A parameter-sparse, process-based dynamic model for predicting resource capture, growth, and production in agroforestry systems

Abstract: Yield-SAFE: a parameter-sparse process-based dynamic model for predicting resource capture, growth and production in agroforestry systems. Ecological Engineering 29: 419-433.

Cited by 116 publications

References 15 publications

Mixing Plant Species in Cropping Systems: Concepts, Tools and Models: A Review

Mixing Plant Species in Cropping Systems: Concepts, Tools and Models: A Review

Managed Multi-strata Tree + Crop Systems: An Agroecological Marvel

A framework for reviewing the trade-offs between, renewable energy, food, feed and wood production at a local level

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