scholarly journals Spatial heterogeneity in climate change effects decouples the long‐term dynamics of wild reindeer populations in the high Arctic

2019 ◽  
Vol 25 (11) ◽  
pp. 3656-3668 ◽  
Author(s):  
Brage Bremset Hansen ◽  
Åshild Ønvik Pedersen ◽  
Bart Peeters ◽  
Mathilde Le Moullec ◽  
Steve D. Albon ◽  
...  
Keyword(s):  
Climate Change ◽  
Spatial Heterogeneity ◽  
High Arctic ◽  
Climate Change Effects ◽  
Wild Reindeer

scholarly journals Application of a 1 km2 resolution model for climate change effects upon Benin and Nigeria vegetable agriculture

GEOMATICA ◽  
2019 ◽  
Vol 73 (4) ◽  
pp. 93-106
Author(s):  
Colin Minielly ◽  
O. Clement Adebooye ◽  
P.B. Irenikatche Akponikpe ◽  
Durodoluwa J. Oyedele ◽  
Dirk de Boer ◽  
...  
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Field Trials ◽  
Development Planning ◽  
Climate Modelling ◽  
Intergovernmental Panel ◽  
Amaranthus Cruentus ◽  
Global Issues ◽  
Climate Change Effects

Climate change and food security are complex global issues that require multidisciplinary approaches to resolve. A nexus exists between both issues, especially in developing countries, but little prior research has successfully bridged the divide. Existing resolutions to climate change and food security are expensive and resource demanding. Climate modelling is at the forefront of climate change literature and development planning, whereas agronomy research is leading food security plans. The Benin Republic and Nigeria have grown and developed in recent years but may not have all the tools required to implement and sustain long-term food security in the face of climate change. The objective of this paper is to describe the development and outputs of a new model that bridges climate change and food security. Data from the Intergovernmental Panel on Climate Change’s 5th Regional Assessment (IPCC AR5) were combined with a biodiversity database to develop the model to derive these outputs. The model was used to demonstrate what potential impacts climate change will have on the regional food security by incorporating agronomic data from four local underutilized indigenous vegetables (Amaranthus cruentus L., Solanum macrocarpon L., Telfairia occidentalis Hook f., and Ocimum gratissimum L.). The model shows that, by 2099, there is significant uncertainty within the optimal recommendations that originated from the MicroVeg project. This suggests that MicroVeg will not have long-term success for food security unless additional options (e.g., new field trials, shifts in vegetable grown) are considered, creating the need for need for more dissemination tools.

Seasonal and long-term trends in the spatial heterogeneity of lake phytoplankton communities over two decades of restoration and climate change

2020 ◽  
Vol 748 ◽  
pp. 141106
Author(s):  
Hui Fu ◽  
Guixiang Yuan ◽  
Korhan Özkan ◽  
Liselotte Sander Johansson ◽  
Martin Søndergaard ◽  
...  
Keyword(s):  
Climate Change ◽  
Spatial Heterogeneity ◽  
Phytoplankton Communities ◽  
Long Term Trends

Exploration of Climate Change Effects on Shifting Potato Seasons, Yields and Water Use Employing NASA and National Long-Term Weather Data

2020 ◽  
Vol 63 (4) ◽  
pp. 565-577 ◽  
Author(s):  
Ayten Kubra Yagiz ◽  
Mustafa Cakici ◽  
Nazlican Aydogan ◽  
Seher Omezli ◽  
Bayram Ali Yerlikaya ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Use ◽  
Weather Data ◽  
Climate Change Effects

scholarly journals Climate Change Implications for Tidal Marshes and Food Web Linkages to Estuarine and Coastal Nekton

2021 ◽  
Author(s):  
Denise D. Colombano ◽  
Steven Y. Litvin ◽  
Shelby L. Ziegler ◽  
Scott B. Alford ◽  
Ronald Baker ◽  
...  
Keyword(s):  
Climate Change ◽  
Food Web ◽  
Tidal Marsh ◽  
Tidal Marshes ◽  
Future Climate Change ◽  
Ecological Processes ◽  
Sea Levels ◽  
Climate Change Effects ◽  
Multiple Stressor

AbstractClimate change is altering naturally fluctuating environmental conditions in coastal and estuarine ecosystems across the globe. Departures from long-term averages and ranges of environmental variables are increasingly being observed as directional changes [e.g., rising sea levels, sea surface temperatures (SST)] and less predictable periodic cycles (e.g., Atlantic or Pacific decadal oscillations) and extremes (e.g., coastal flooding, marine heatwaves). Quantifying the short- and long-term impacts of climate change on tidal marsh seascape structure and function for nekton is a critical step toward fisheries conservation and management. The multiple stressor framework provides a promising approach for advancing integrative, cross-disciplinary research on tidal marshes and food web dynamics. It can be used to quantify climate change effects on and interactions between coastal oceans (e.g., SST, ocean currents, waves) and watersheds (e.g., precipitation, river flows), tidal marsh geomorphology (e.g., vegetation structure, elevation capital, sedimentation), and estuarine and coastal nekton (e.g., species distributions, life history adaptations, predator-prey dynamics). However, disentangling the cumulative impacts of multiple interacting stressors on tidal marshes, whether the effects are additive, synergistic, or antagonistic, and the time scales at which they occur, poses a significant research challenge. This perspective highlights the key physical and ecological processes affecting tidal marshes, with an emphasis on the trophic linkages between marsh production and estuarine and coastal nekton, recommended for consideration in future climate change studies. Such studies are urgently needed to understand climate change effects on tidal marshes now and into the future.

scholarly journals Early effects of climate change: do they include changes in vector-borne disease?

2001 ◽  
Vol 356 (1411) ◽  
pp. 1057-1068 ◽  
Author(s):  
R. S. Kovats ◽  
D. H. Campbell-Lendrum ◽  
A. J. McMichel ◽  
A. Woodward ◽  
J. St H. Cox
Keyword(s):  
Climate Change ◽  
Direct Evidence ◽  
Bird Species ◽  
Temporal Distribution ◽  
Vector Borne Diseases ◽  
Climate Change Effects ◽  
Vector Borne ◽  
Early Effects ◽  
The Impact

The world's climate appears now to be changing at an unprecedented rate. Shifts in the distribution and behaviour of insect and bird species indicate that biological systems are already responding to this change. It is well established that climate is an important determinant of the spatial and temporal distribution of vectors and pathogens. In theory, a change in climate would be expected to cause changes in the geographical range, seasonality (intra–annual variability), and in the incidence rate (with or without changes in geographical or seasonal patterns). The detection and then attribution of such changes to climate change is an emerging task for scientists. We discuss the evidence required to attribute changes in disease and vectors to the early effects of anthropogenic climate change. The literature to date indicates that there is a lack of strong evidence of the impact of climate change on vector–borne diseases (i.e. malaria, dengue, leishmaniasis, tick–borne diseases). New approaches to monitoring, such as frequent and long–term sampling along transects to monitor the full latitudinal and altitudinal range of specific vector species, are necessary in order to provide convincing direct evidence of climate change effects. There is a need to reassess the appropriate levels of evidence, including dealing with the uncertainties attached to detecting the health impacts of global change.

scholarly journals Ecosystem responses to climate change at a Low Arctic and a High Arctic long-term research site

AMBIO ◽  
2017 ◽  
Vol 46 (S1) ◽  
pp. 160-173 ◽  
Author(s):  
John E. Hobbie ◽  
Gaius R. Shaver ◽  
Edward B. Rastetter ◽  
Jessica E. Cherry ◽  
Scott J. Goetz ◽  
...  
Keyword(s):  
Climate Change ◽  
High Arctic ◽  
Ecosystem Responses ◽  
Research Site ◽  
Low Arctic

scholarly journals The South Inylchek Glacier Activity Analysis over a Ten-year Interval in Surface Velocity with Multi-source Spaceborne Imagery

2021 ◽  
Author(s):  
Qimin zhang ◽  
Lu Zhang ◽  
Mingyang Lv ◽  
Yidan Sun ◽  
Shiyong Yan
Keyword(s):  
Climate Change ◽  
Surface Velocity ◽  
High Mountain ◽  
The South ◽  
Mountain Glacier ◽  
Climate Change Effects ◽  
Glacier Velocity ◽  
Sar Imagery ◽  
Single Data

Abstract Ice movement is one of the most important characteristics in describing mountain glacier activity, which is a sensitive natural indicator of climate change. However, the short-term ice movement with a single data source could not precisely and sufficiently demonstrate the response of glaciers to climate change. In order to extract the reliable signal corresponding to climate change, the long-term monitoring of glacier movement should be widely exploited. This paper presents the ice motion distribution of the South Inylchek Glacier by improving pixel tracking algorithm with both synthetic aperture radar and optical imagery in 2007-2008 and 2017-2018. The analysis in spatiotemporal characteristics of the glacier velocity indicates that the South Inylchek Glacier remained almost stable in a ten-year interval with the average velocity of 32cm/d, which are computed with quasi-synchronization multi-source imagery. And the consistency of the velocity results was also verified with both optical and SAR imagery during the same period. Therefore, it would be valuable in expanding the research temporal cycle of glacier movement by uniting multi-source data. We also suggest that long-term ice motion should be collected for further analysis in mass balance prediction and assessing the climate change effects in the High Mountain Asia.

scholarly journals Climate Change Effects on Long-term World-crop Production: Incorporating a Crop Model into Long-term Yield Estimates

2015 ◽  
Vol 49 (2) ◽  
pp. 187-202 ◽  
Author(s):  
Jun FURUYA ◽  
Shintaro KOBAYASHI ◽  
Yukiyo YAMAMOTO ◽  
Motoki NISHIMORI
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Crop Model ◽  
Climate Change Effects
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