2015
DOI: 10.1016/j.agrformet.2015.02.005
|View full text |Cite
|
Sign up to set email alerts
|

Broadening the scope for ecoclimatic indicators to assess crop climate suitability according to ecophysiological, technical and quality criteria

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
28
0
2

Year Published

2017
2017
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 44 publications
(30 citation statements)
references
References 40 publications
0
28
0
2
Order By: Relevance
“…Even more importantly, this study could serve as a good starting point for a model developed for much larger regions affected by climate change as part of their adaptation strategy towards a smarter and more sustainable agriculture [80][81][82]. As expert-knowledge analysis was identified as the major limitation of the models [83], we consider that our results could greatly contribute to adapting an existing agro-climatic suitability model or to developing a new one at a better spatial resolution, especially for other regions with complex topography, by including a large variety of climatic (precipitation, evapotranspiration) and non-climatic (soil type, slope gradient and aspect) parameters (overlapping more layers), in order to avoid growing season constraints and to determine phenophase-specific climate sensitivities [28,[84][85][86][87], as well as to achieve realistic site-specific results and a higher efficiency of resource use in agricultural ecosystems [88,89].…”
Section: Discussionmentioning
confidence: 99%
“…Even more importantly, this study could serve as a good starting point for a model developed for much larger regions affected by climate change as part of their adaptation strategy towards a smarter and more sustainable agriculture [80][81][82]. As expert-knowledge analysis was identified as the major limitation of the models [83], we consider that our results could greatly contribute to adapting an existing agro-climatic suitability model or to developing a new one at a better spatial resolution, especially for other regions with complex topography, by including a large variety of climatic (precipitation, evapotranspiration) and non-climatic (soil type, slope gradient and aspect) parameters (overlapping more layers), in order to avoid growing season constraints and to determine phenophase-specific climate sensitivities [28,[84][85][86][87], as well as to achieve realistic site-specific results and a higher efficiency of resource use in agricultural ecosystems [88,89].…”
Section: Discussionmentioning
confidence: 99%
“…More generally, this fact is indicating a general limitation of calendar-based climatic indices used in viticulture such as the Winkler index (Amerine and Winkler 1944), the heliothermic index of Huglin (1978) or the average growing season temperature according to Jones (2007) since they do not take into account the plant response to climate (Caubel et al, 2015) and, hence, might not perfectly reflect the real vegetation period of specific cultivars (Holzkämper et al, 2010).…”
Section: Discussionmentioning
confidence: 99%
“…These changes are expected to continue and may even accelerate in the future, resulting in potentially severe but highly uncertain impacts on agricultural land systems [ 6 ]. The increased adverse impacts of climate change on agriculture have caused inter-national communities, experts, policy-makers, and farmers to assess the suitability of the climate for agriculture in a given area, then propose and apply adaptation strategies to improve or perhaps maintain agriculture in some regions [ 7 , 8 , 9 , 10 ].…”
Section: Introductionmentioning
confidence: 99%
“…Evaluation models that describe crop growth and development over time as a function of environmental factors can be used to estimate the effects of climate change on crop suitability [ 8 , 12 , 16 , 17 ]. For example, Caubel et al [ 8 ] developed an assessment method based on agro-climatic indicators calculated over phenological periods (eco-climatic indicators) for crop climate suitability. He et al [ 12 ] used a temperature thermal response coefficient model to calculate a temperature suitability value for potato phenology, conducting precise temporal and spatial evaluations on temperature suitability for potato growth in China.…”
Section: Introductionmentioning
confidence: 99%