scholarly journals The implication of spatial interpolated climate data on biophysical modelling in agricultural systems

2020 ◽  
Vol 40 (5) ◽  
pp. 2870-2890 ◽  
Author(s):  
De Li Liu ◽  
Fei Ji ◽  
Bin Wang ◽  
Cathy Waters ◽  
Puyu Feng ◽  
...  
Keyword(s):  
Agricultural Systems ◽  
Climate Data ◽  
Biophysical Modelling

scholarly journals AgMIP Regional Integrated Assessment of Agricultural Systems in Nioro, Senegal

2022 ◽  
Vol 7 ◽  
Author(s):  
Ibrahima Hathie ◽  
Dilys MacCarthy ◽  
Bright Freduah ◽  
Mouhamed Ly ◽  
Ahmadou Ly ◽  
...  
Keyword(s):  
Climate Change ◽  
Impact Assessment ◽  
Integrated Assessment ◽  
Future Climate ◽  
Sub Saharan Africa ◽  
Agricultural System ◽  
Data Sets ◽  
Agricultural Systems ◽  
Climate Data ◽  
Improvement Project

The Agricultural Model Intercomparison and Improvement Project (AgMIP) developed protocol-based methods for Regional Integrated Assessment (RIA) of agricultural systems. These methods have been applied by teams of scientists working with regional and national stakeholders across Sub-Saharan Africa and South Asia. This paper describes the data sets that were used to implement the AgMIP RIA methods for the Nioro region of Senegal. The goal of the RIA is to assess the potential impacts of climate change on the principal agricultural system in the Senegal peanut basin comprised of peanut, millet, maize and other minor crops and livestock, and to assess adaptations of that system to climate change, under current as well as future climate and socio-economic conditions. The data sets include: the Representative Agricultural Pathways (RAPs) developed for Nioro from 2000-2050; climate data used to implement crop yield simulations; the data used to parameterize the Agricultural Production Systems sIMulator (APSIM) and the Decision Support System for Agrotechnology Transfer (DSSAT) crop models, which include historical climate data and future climate scenarios; and the data used to parameterize the Tradeoff Analysis Model for Multi-dimensional Impact Assessment (TOA-MD) economic simulation model. The analysis is structured around four AgMIP “core questions'' of climate impact assessment.

Climate-resilient water-for-agriculture infrastructure: boundaries, complexities and standards in irrigated working lands

2020 ◽  
Author(s):  
Francisco Munoz-Arriola
Keyword(s):  
Extreme Events ◽  
Spatial Scales ◽  
High Plains ◽  
Agricultural Systems ◽  
Climate Data ◽  
The Past ◽  
Changing Climate ◽  
The Us ◽  
Working Lands

<p>The continuous intensification of agriculture along the High Plains in the US has been sustained by improvements in genetics, understanding of soil complexity, hydroclimate controls, and irrigation. The present work aims to identify the socioecological and sociotechnical processes involved in sustaining the intensification of yields in the past 50 years. We hypothesize that in the occurrence of extreme events, the boundaries of the agricultural systems –for example, water tradeoffs, governance, and natural availability—can be compromised, leading to a reduction in yields. Furthermore, the complexity of the Ag system –characterized by the interdependencies among complex hydroclimate, soil, and management – can change across spatial scales. The objectives are (1) to collect digital yield and climate data, as well as information about standards of water-for-agriculture; and (2) use the collected data to characterize the limits and limitations of the standards. In the proposed approach, the standards will represent our ability to manage resources, and ultimately create resilient water-for-food infrastructure in a changing climate.</p>

Scientists struggle to access Africa's historical climate data

Nature ◽  
2019 ◽  
Vol 574 (7780) ◽  
pp. 605-606 ◽  
Author(s):  
Linda Nordling
Keyword(s):  
Climate Data ◽  
Historical Climate

Use of soil and climate data to assess the risk of agricultural drought for policy support in Europe

Agronomie ◽  
2001 ◽  
Vol 21 (1) ◽  
pp. 45-56 ◽  
Author(s):  
Pandi Zdruli ◽  
Robert J.A. Jones ◽  
Luca Montanarella
Keyword(s):  
Policy Support ◽  
Agricultural Drought ◽  
Climate Data
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