scholarly journals Vegetative Response to Climate Change in the Big Pine Creek Watershed along a 2,500 Meter Elevation Gradient Using Landsat Data

2014 ◽  
Vol 3 (6) ◽  
pp. 137 ◽  
Author(s):  
Patrick Shawn Sawyer
2018 ◽  
Vol 50 ◽  
pp. 02006
Author(s):  
Lukas Egarter Vigl ◽  
Arno Schmid ◽  
Franz Moser ◽  
Andrea Balotti ◽  
Erwin Gartner ◽  
...  

The advent of global climate change has major impacts upon viticultural production. Changes in the spatial limits of wine production are already being observed around the globe; vineyards are now viable at higher elevations and more polar latitudes. Climatic conditions are also threatening production in existing appellations. Therefore, sound management strategies are vital to maintain high-quality wines and varietal typicity, and to respond to changing market conditions. In mountainous regions such as the European Alps, new production areas at higher elevations are increasingly considered to be a promising solution. However, the suitability of viticulture in general, and even specific varieties of wine grapes, can change drastically across short distances in complex mountain terrain. Variations in temperature and radiation accumulation directly influence plant suitability, yield quantity, and quality. This paper shares initial findings from the REBECKA Project, a transnational research initiative designed to assess the impacts of climate change on mountain viticulture and wine quality in South Tyrol (Italy) and Carinthia (Austria). A three-part approach is utilized to better assess these dynamics: (1) historical crop yield data from local vineyards are assessed, (2) plant phenology stages and polyphenolic compounds of the Pinot Noir variety are analyzed along an elevation gradient and related to bioclimatic indices, and (3) a suitability map is developed that considers small-scale topographic and agro-environmental conditions. Taken together, these components contribute in clarifying many of the opportunities and threats facing high altitude viticulture in a changing world and provide new insights for sound decision-making in alpine vineyards.


2021 ◽  
Vol 64 (4) ◽  
pp. 1303-1318
Author(s):  
Kpoti M. Gunn ◽  
Anthony R. Buda ◽  
Heather E. Preisendanz ◽  
Raj Cibin ◽  
Casey D. Kennedy ◽  
...  

HighlightsWe used SWAT-VSA to assess the effects of climate change with rising CO2 on the water balance of a karst basin.For future climate, SWAT-VSA with rising CO2 yielded 7.1% less ET and 6.3% more runoff than standard SWAT-VSA.Rising CO2 also affected variable source areas, with greater ET declines and runoff increases in the wettest soils.Findings suggest CO2 effects on water balance should be included in future climate change studies with SWAT-VSA.Abstract. Characterizing the effects of climate change on hydrology is important to watershed management. In this study, we used SWAT-VSA to examine the effects of climate change and increasing atmospheric CO2 (CO2) on the water balance of Spring Creek watershed, a mixed land-use karst basin in the Upper Chesapeake Bay watershed. First, we modified the stomatal conductance and leaf area index (LAI) routines of SWAT-VSA’s Penman-Monteith evapotranspiration (ET) procedure and enabled the model to accept daily CO2 data. Using downscaled climate projections from nine global climate models (GCMs), we then compared water balance estimations from baseline SWAT-VSA against two modified versions of SWAT-VSA. One SWAT-VSA version integrated daily CO2 levels (SWAT-VSA_CO2), while another version added flexible stomatal conductance and LAI routines (SWAT-VSA_CO2+Plant) to the dynamic CO2 capacity. Under current climate (1985-2015), the three SWAT-VSA models produced generally similar water balance estimations, with 51% of precipitation lost to ET and the remainder converted to runoff (10%), lateral flow (9%), and percolate (30%). For future climate (2020-2065), water balance simulations diverged between baseline SWAT-VSA and the two modified SWAT-VSA models with CO2. Notably, variable stomatal conductance and LAI routines produced no detectable effects beyond that of CO2. For the 2020-2065 period, baseline SWAT-VSA projected ET increases of 0.7 mm year-1, while SWAT-VSA models with CO2 suggested that annual ET could decline by approximately -0.4 mm year-1 over the same period. As a result, the two CO2-based SWAT-VSA models predicted streamflow increases of almost 1.6 mm year-1 over the 2020-2065 period, which were roughly double the streamflow increases projected by baseline SWAT-VSA. In general, SWAT-VSA models with CO2 effects produced 22.4% more streamflow in 2045-2065 than the SWAT-VSA model without CO2. Results also showed that adding daily CO2 to SWAT-VSA reduced ET in wetter parts of Spring Creek watershed, leading to greater runoff losses from variable source areas compared to baseline SWAT-VSA. Findings from the study highlight the importance of considering increasing atmospheric CO2 concentrations in water balance simulations with SWAT-VSA in order to gain a fuller appreciation of the hydrologic uncertainties with climate change. Keywords: Carbon dioxide, Climate change, Hydrologic model, Water balance, Watershed.


2019 ◽  
Vol 11 (23) ◽  
pp. 2833 ◽  
Author(s):  
Katie Awty-Carroll ◽  
Pete Bunting ◽  
Andy Hardy ◽  
Gemma Bell

Mangrove forests play a global role in providing ecosystem goods and services in addition to acting as carbon sinks, and are particularly vulnerable to climate change effects such as rising sea levels and increased salinity. For this reason, accurate long-term monitoring of mangrove ecosystems is vital. However, these ecosystems are extremely dynamic and data frequency is often reduced by cloud cover. The Continuous Change Detection and Classification (CCDC) method has the potential to overcome this by utilising every available observation on a per-pixel basis to build stable season-trend models of the underlying phenology. These models can then be used for land cover classification and to determine greening and browning trends. To demonstrate the utility of this approach, CCDC was applied to a 30-year time series of Landsat data covering an area of mangrove forest known as the Sundarbans. Spanning the delta formed by the confluence of the Ganges, Brahmaputra and Meghna river systems, the Sundarbans is the largest contiguous mangrove forest in the world. CCDC achieved an overall classification accuracy of 94.5% with a 99% confidence of being between 94.2% and 94.8%. Results showed that while mangrove extent in the Sundarbans has remained stable, around 25% of the area experienced an overall negative trend, probably due to the effect of die-back on Heritiera fomes. In addition, dates and magnitudes of change derived from CCDC were used to investigate damage and recovery from a major cyclone; 11% of the Sundarbans was found to have been affected by Cyclone Sidr in 2007, 47.6% of which had not recovered by mid-2018. The results indicate that while the Sundarbans forest is resilient to cyclone events, the long-term degrading effects of climate change could reduce this resilience to critical levels. The proposed methodology, while computationally expensive, also offers means by which the full Landsat archive can be analyzed and interpreted and should be considered for global application to mangrove monitoring.


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