scholarly journals Crop resilience to climate change: A study of spatio-temporal variability of sugarcane yield in a subtropical region, China

2021 ◽  
Vol 1 ◽  
pp. 100014
Author(s):  
Hao Guo ◽  
Zhigang Huang ◽  
Mengchao Tan ◽  
Hongyan Ruan ◽  
Gabriel Oladele Awe ◽  
...  
Keyword(s):  
Climate Change ◽  
Temporal Variability ◽  
Subtropical Region ◽  
Sugarcane Yield ◽  
Spatio Temporal

Climate change impact on rainfall spatio-temporal variability (Macta watershed case, Algeria)

2017 ◽  
Vol 10 (22) ◽  
Author(s):  
Abdelkader Elouissi ◽  
Mohammed Habi ◽  
Boumedienne Benaricha ◽  
Sid Ahmed Boualem
Keyword(s):  
Climate Change ◽  
Temporal Variability ◽  
Climate Change Impact ◽  
Change Impact ◽  
Spatio Temporal

Simulating the spatio-temporal variability of streamflow response to climate change scenarios in a mesoscale basin

2004 ◽  
Vol 293 (1-4) ◽  
pp. 255-269 ◽  
Author(s):  
G Drogue ◽  
L Pfister ◽  
T Leviandier ◽  
A El Idrissi ◽  
J.-F Iffly ◽  
...  
Keyword(s):  
Climate Change ◽  
Temporal Variability ◽  
Climate Change Scenarios ◽  
Streamflow Response ◽  
Spatio Temporal

scholarly journals Multi-Site and Multi-Year Remote Records of Operative Temperatures with Biomimetic Loggers Reveal Spatio-Temporal Variability in Mountain Lizard Activity and Persistence Proxy Estimates

2020 ◽  
Vol 12 (18) ◽  
pp. 2908
Author(s):  
Florèn Hugon ◽  
Benoit Liquet ◽  
Frank D’Amico
Keyword(s):  
Climate Change ◽  
Temporal Variability ◽  
Mean Value ◽  
Response Strategies ◽  
Sensing Technology ◽  
Spatio Temporal ◽  
Environmental Temperatures ◽  
Biological Organisms ◽  
Operative Temperatures ◽  
Activity Times

Commonly, when studies deal with the effects of climate change on biodiversity, mean value is used more than other parameters. However, climate change also leads to greater temperature variability, and many papers have demonstrated its importance in the implementation of biodiversity response strategies. We studied the spatio-temporal variability of activity time and persistence index, calculated from operative temperatures measured at three sites over three years, for a mountain endemic species. Temperatures were recorded with biomimetic loggers, an original remote sensing technology, which has the same advantages as these tools but is suitable for recording biological organisms data. Among the 42 tests conducted, 71% were significant for spatial variability and 28% for temporal variability. The differences in daily activity times and in persistence indices demonstrated the effects of the micro-habitat, habitat, slope, altitude, hydrography, and year. These observations have highlighted the great variability existence in the environmental temperatures experienced by lizard populations. Thus, our study underlines the importance to implement multi-year and multi-site studies to quantify the variability and produce more representative results. These studies can be facilitated by the use of biomimetic loggers, for which a user guide is provided in the last part of this paper.

Spatio-temporal variability of global crop water requirement, during 1950-2020

2021 ◽  
Author(s):  
Matteo Rolle ◽  
Stefania Tamea ◽  
Pierluigi Claps
Keyword(s):  
Climate Change ◽  
Temporal Variability ◽  
Large Scale ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Green Water ◽  
Crop Water ◽  
Main Challenge ◽  
Spatio Temporal ◽  
Climate Forcings

<p>Intensification of studies of the agricultural water requirement is a main challenge in a globalized world, where food production is pushed to meet the needs of a growing population and the international trade network requires large-scale planning policies. Agriculture is the human activity that consumes most of the withdrawn freshwater and climate change can greatly influence the amount of irrigation required by crops. In recent years, the widespread availability of satellite images is providing an important contribution to water resources management, offering data at high spatio-temporal resolution over an interestingly long period of time.</p><p>This study deals with the temporal variability of global water requirement of the main crops, which is assessed through a comprehensive model, driven by climate forcings, that estimates the daily crop water requirement on a spatial resolution of 5 arc-min (or 0.0833°) from 1950 to 2020. The model computes a soil water balance using daily input data of precipitation and evapotranspiration, based on the high-resolution ERA5 reanalysis dataset from the Climate Change Service of the Copernicus Program, which combines satellite information and ground measurements. The distribution of harvested areas and the length of crop development phases are kept constant, to analyze the variability of crop water requirement strictly related to climate forcings, both in terms of precipitation (green water) and irrigation (blue water). The model considers the separation between irrigated and rainfed areas, in order to provide a consistent spatial distribution of irrigation requirements. Examining the spatio-temporal variability of the crop water requirement can support considerations on the effects of global warming in different areas in the world.</p>

Sign in / Sign up

Export Citation Format

Share Document