scholarly journals Forecasting future crop suitability with microclimate data

2021 ◽  
Vol 190 ◽  
pp. 103084
Author(s):  
A.S. Gardner ◽  
I.M.D. Maclean ◽  
K.J. Gaston ◽  
L. Bütikofer
Keyword(s):  
2014 ◽  
Vol 2 (4) ◽  
pp. 493-500 ◽  
Author(s):  
B. Neupane ◽  
C.P. Shriwastav ◽  
S.C. Shah ◽  
K. Sah

A research was conducted to evaluate the suitability of soils of different land unit for cereal crops productions at Parbatipur VDC, Chitwan, Nepal with the integrated use of Geographical Information system (GIS) and Multi-criteria evaluation (MCE).Existing geodatabase information from National Land Use Project (NLUP) was used as data for this research. The database was used to derive crop suitability using vector based index model in GIS along with multi-criteria analysis. The research revealed that for rice cultivation, 1.06 %( 10.70ha) was highly suitable, 51.54 %( 515.89ha) was moderately suitable, 3.39% (33.987 ha) was marginally suitable but 28.28 %( 283.11 ha) was not suitable whereas for wheat cultivation, 7.6 %( 76.73ha) was highly suitable, 44.91% (449.53 ha) was moderately suitable and 4.6% (46.26ha) was marginally suitable, but 27.15% (27.14ha) was not suitable. Similarly, for maize cultivation, 12.07% (120.83ha) was highly suitable, 40.19% (402.25ha) was moderately suitable and 0.53% (5.37ha) was marginally suitable, but 31.54% (315.72ha) was not suitable for maize production. Suitability data of this VDC shows that maize and wheat was highly suitable than rice cultivation. But, the area not suitable for rice, wheat and maize must be allocated for alternative uses to achieve optimum productions and further there must be new research for alternative crops in VDC. Hence, this research is useful to farmers and VDC level planners for optimum crops production. DOI: http://dx.doi.org/10.3126/ijasbt.v2i4.11279Int J Appl Sci Biotechnol, Vol. 2(4): 493-500 


2021 ◽  
pp. 247-272
Author(s):  
Jason Elroy Martis ◽  
M. S. Sannidhan ◽  
K. B. Sudeepa

Chemosphere ◽  
2020 ◽  
Vol 246 ◽  
pp. 125706 ◽  
Author(s):  
Chiara Grassi ◽  
Stefano Cecchi ◽  
Ada Baldi ◽  
Camillo A. Zanchi ◽  
Simone Orlandini ◽  
...  

Climate ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 102 ◽  
Author(s):  
Temitope S. Egbebiyi ◽  
Chris Lennard ◽  
Olivier Crespo ◽  
Phillip Mukwenha ◽  
Shakirudeen Lawal ◽  
...  

The changing climate is posing significant threats to agriculture, the most vulnerable sector, and the main source of livelihood in West Africa. This study assesses the impact of the climate-departure on the crop suitability and planting month over West Africa. We used 10 CMIP5 Global climate models bias-corrected simulations downscaled by the CORDEX regional climate model, RCA4 to drive the crop suitability model, Ecocrop. We applied the concept of the crop-climate departure (CCD) to evaluate future changes in the crop suitability and planting month for five crop types, cereals, legumes, fruits, root and tuber and horticulture over the historical and future months. Our result shows a reduction (negative linear correlation) and an expansion (positive linear correlation) in the suitable area and crop suitability index value in the Guinea-Savanna and Sahel (southern Sahel) zone, respectively. The horticulture crop was the most negatively affected with a decrease in the suitable area while cereals and legumes benefited from the expansion in suitable areas into the Sahel zone. In general, CCD would likely lead to a delay in the planting season by 2–4 months except for the orange and early planting dates by about 2–3 months for cassava. No projected changes in the planting month are observed for the plantain and pineapple which are annual crops. The study is relevant for a short and long-term adaptation option and planning for future changes in the crop suitability and planting month to improve food security in the region.


2018 ◽  
Vol 10 (7) ◽  
pp. 2119 ◽  
Author(s):  
Liuyue He ◽  
Sufen Wang ◽  
Congcong Peng ◽  
Qian Tan

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