Soil Microbiological Activity and Carbon Dynamics in the Current Climate Change Scenarios: A Review

Pedosphere ◽  
2016 ◽  
Vol 26 (5) ◽  
pp. 577-591 ◽  
Author(s):  
Javid A. SOFI ◽  
Aabid H. LONE ◽  
Mumtaz A. GANIE ◽  
Naseer A. DAR ◽  
Sajad A. BHAT ◽  
...  
Keyword(s):  
Climate Change ◽  
Carbon Dynamics ◽  
Climate Change Scenarios ◽  
Microbiological Activity ◽  
Current Climate ◽  
Soil Microbiological Activity

scholarly journals Regional effects of alternative climate change and management scenarios on timber production, economic profitability, and carbon stocks in Norway spruce forests in Finland

2016 ◽  
Vol 46 (2) ◽  
pp. 274-283 ◽  
Author(s):  
A. Zubizarreta-Gerendiain ◽  
J. Garcia-Gonzalo ◽  
H. Strandman ◽  
K. Jylhä ◽  
H. Peltola
Keyword(s):  
Climate Change ◽  
Norway Spruce ◽  
Carbon Stocks ◽  
Timber Production ◽  
Climate Change Scenarios ◽  
Management Scenarios ◽  
Regional Effects ◽  
Current Climate ◽  
Management Plans ◽  
Management Recommendations

We studied regional effects of alternative climate change and management scenarios on timber production, its economic profitability (net present value (NPV), with 2% interest rate), and carbon stocks over a 90 year simulation period in Norway spruce (Picea abies (L.) Karst.) forests located in southern, central, and northern Finland. We also compared the results of optimised management plans (maximizing incomes) and fixed management scenarios. Business as usual (BAU) management recommendations were used as the basis for alternative management scenarios. The forest ecosystem model SIMA together with a forest optimisation tool was employed. To consider the uncertainties related to climate change, we applied two climate change scenarios (SRES B1 and SRES A2) in addition to the current climate. Results showed that timber production, NPV, and carbon stocks of forests would reduce in southern Finland, opposite to northern Finland, especially under the strong climate change scenario (SRES A2) compared with the current climate. In central Finland, climate change would have little effect. The use of optimised management plans also resulted in higher timber yield, NPV, and carbon stock of forests compared with the use of a single management scenario, regardless of forest region and climate scenario applied. In the future, we may need to modify the current BAU management recommendations to properly adapt to the changing climatic conditions.

scholarly journals A weather dependent approach to estimate the annual course of vegetation parameters for water balance simulations on the meso- and macroscale

2012 ◽  
Vol 32 ◽  
pp. 15-21 ◽  
Author(s):  
K. Förster ◽  
M. Gelleszun ◽  
G. Meon
Keyword(s):  
Climate Change ◽  
Water Balance ◽  
Hydrologic Model ◽  
Climate Change Scenarios ◽  
Time Step ◽  
Area Index ◽  
Vegetation Height ◽  
Current Climate ◽  
Vegetation Parameters

Abstract. In order to simulate long-term water balances hydrologic models have to be parameterized for several types of vegetation. Furthermore, a seasonal dependence of vegetation parameters has to be accomplished for a successful application. Many approaches neglect inter-annual variability and shifts due to climate change. In this paper a more comprehensive approach from literature was evaluated and applied to long-term water balance simulations, which incorporates temperature, humidity and maximum bright sunshine hours per day to calculate a growing season index (GSI). A validation of this threshold-related approach is carried out by comparisons with normalized difference vegetation index (NDVI) data and observations from the phenological network in the state of Lower Saxony. The annual courses of GSI and NDVI show a good agreement for numerous sites. A comparison with long-term observations of leaf onset and offset taken from the phenological network also revealed a good model performance. The observed trends indicating a shift toward an earlier leaf onset of 3 days per decade in the lowlands were reproduced very well. The GSI approach was implemented in the hydrologic model Panta Rhei. For the common vegetation parameters like leaf area index, vegetated fraction, albedo and the vegetation height a minimum value and a maximum value were defined for each land surface class. These parameters were scaled with the computed GSI for every time step to obtain a seasonal course for each parameter. Two simulations were carried out each for the current climate and for future climate scenarios. The first run was parameterized with a static annual course of vegetation parameters. The second run incorporates the new GSI approach. For the current climate both models produced comparable results regarding the water balance. Although there are no significant changes in modeled mean annual evapotranspiration and runoff depth in climate change scenarios, mean monthly values of these water balance components are shifted toward a lower runoff in spring and higher values during the winter months.

scholarly journals Thermal Time and Cardinal Temperatures for Germination of Cedrela odorata L.

Forests ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 841
Author(s):  
Salvador Sampayo-Maldonado ◽  
Cesar A. Ordoñez-Salanueva ◽  
Efisio Mattana ◽  
Tiziana Ulian ◽  
Michael Way ◽  
...  
Keyword(s):  
Climate Change ◽  
Threshold Model ◽  
Germination Rate ◽  
Climate Scenario ◽  
Thermal Time ◽  
Climate Change Scenarios ◽  
Cedrela Odorata ◽  
Current Climate ◽  
Wide Range ◽  
Cardinal Temperatures

Thermal time models are useful to determine the thermal and temporal requirements for seed germination. This information may be used as a criterion for species distribution in projected scenarios of climate change, especially in threatened species like red cedar. The objectives of this work were to determine the cardinal temperatures and thermal time for seeds of Cedrela odorata and to predict the effect of increasing temperature in two scenarios of climate change. Seeds were placed in germination chambers at constant temperatures ranging from 5 ± 2 to 45 ± 2 °C. Germination rate was analyzed in order to calculate cardinal temperatures and thermal time. The time required for germination of 50% of population was estimated for the current climate, as well as under the A2 and B2 scenarios for the year 2050. The results showed that base, optimal and maximal temperatures were −0.5 ± 0.09, 38 ± 1.6 and 53.3 ± 2.1 °C, respectively. Thermal time (θ1(50)) was 132.74 ± 2.60 °Cd, which in the current climate scenario accumulates after 5.5 days. Under the A2 scenario using the English model, this time is shortened to 4.5 days, while under scenario B2, the time is only 10 hours shorter than the current scenario. Under the German model, the accumulation of thermal time occurs 10 and 6.5 hours sooner than in the current climate under the A2 and B2 models, respectively. The seeds showed a wide range of temperatures for germination, and according to the climate change scenarios, the thermal time accumulates over a shorter period, accelerating the germination of seeds in the understory. This is the first report of a threshold model for C. odorata, one of the most important forest species in tropical environments.

scholarly journals Predicting the Water Requirement for Rice Production as Affected by Projected Climate Change in Bihar, India

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3312
Author(s):  
Ranjeet K. Jha ◽  
Prasanta K. Kalita ◽  
Richard A. Cooke ◽  
Praveen Kumar ◽  
Paul C. Davidson ◽  
...  
Keyword(s):  
Climate Change ◽  
Irrigation Water ◽  
Water Demand ◽  
Climate Scenario ◽  
Baseline Period ◽  
Water Requirement ◽  
Rice Production ◽  
Climate Change Scenarios ◽  
Current Climate ◽  
Rcp 8.5

Climate change is a well-known phenomenon all over the globe. The influence of projected climate change on agricultural production, either positive or negative, can be assessed for various locations. The present study was conducted to investigate the impact of projected climate change on rice’s production, water demand and phenology for the state of Bihar, India. Furthermore, this study assessed the irrigation water requirement to increase the rice production by 60%, for the existing current climate scenario and all the four IPCC climate change scenarios (RCP 2.6, RCP 4.5, RCP 6.0 and RCP 8.5) by the 2050s (2050–2059). Various management practices were used as adaptation methods to analyze the requirement of irrigation water for a 60% increase in rice production. The climate data obtained from the four General Circulation Models (GCMs) (bcc_csm1.1, csiro_mk3_6_0, ipsl_cm5a_mr and miroc_miroc5) were used in the crop growth model, with the Decision Support System for Agrotechnology Transfer (DSSAT) used to simulate the rice yield, phenological days and water demand under all four climate change scenarios. The results obtained from the CERES-Rice model in the DSSAT, corresponding to all four GCMs, were ensembled together to obtain the overall change in yield, phenology and water demand for 10 years of interval from 2020 to 2059. We investigated several strategies: increasing the rice’s yield by 60% with current agronomic practice; increasing the yield by 60% with conservation agricultural practice; and increasing the rice yield by 30% with current agronomic practice as well as with conservation agricultural practices (assuming that the other 30% increase in yield would be achieved by reducing post-harvest losses by 30%). The average increase in precipitation between 2020 and 2059 was observed to be 5.23%, 13.96%, 9.30% and 9.29%, respectively, for RCP 2.6, RCP 4.5, RCP 6.0 and RCP 8.5. The decrease in yield during the 2050s, from the baseline period (1980–2004), was observed to be 2.94%, 3.87%, 4.02% and 5.84% for RCP 2.6, RCP 4.5, RCP 6.0 and RCP 8.5, respectively. The irrigation requirement was predicted to increase by a range of 39% to 45% for a 60% increase in yield using the current agronomic practice in current climate scenario and by 2050s with all the four climate change scenarios from the baseline period (1980–2004). We found that if we combine both conservation agriculture and removal of 30% of the post-harvest losses, the irrigation requirement would be reduced by 26% (45 to 19%), 20% (44 to 24%), 21% (43 to 22%), 22% (39 to 17%) and 20% (41 to 21%) with current climate scenario, RCP 2.6, RCP 4.5, RCP 6.0 and RCP 8.5 conditions, respectively. This combination of conservation practices suggests that the irrigation water requirement can be reduced by a large percentage, even if we produce 60% more food under the projected climate change conditions.

Modelling impacts of different climate change scenarios on soil water regime of a Mollisol

2005 ◽  
Vol 33 (1) ◽  
pp. 185-188 ◽  
Author(s):  
Csilla Farkas ◽  
Roger Randriamampianina ◽  
Juraj Majerčak
Keyword(s):  
Climate Change ◽  
Soil Water ◽  
Water Regime ◽  
Climate Change Scenarios ◽  
Soil Water Regime

scholarly journals Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity

2021 ◽  
Author(s):  
Mark Cooper ◽  
Kai P. Voss-Fels ◽  
Carlos D. Messina ◽  
Tom Tang ◽  
Graeme L. Hammer
Keyword(s):  
Climate Change ◽  
Crop Improvement ◽  
Target Population ◽  
Crop Productivity ◽  
Climate Change Scenarios ◽  
Global Food Security ◽  
Genotype By Environment ◽  
Improvement Strategies ◽  
Yield Gaps ◽  
On Farm

Abstract Key message Climate change and Genotype-by-Environment-by-Management interactions together challenge our strategies for crop improvement. Research to advance prediction methods for breeding and agronomy is opening new opportunities to tackle these challenges and overcome on-farm crop productivity yield-gaps through design of responsive crop improvement strategies. Abstract Genotype-by-Environment-by-Management (G × E × M) interactions underpin many aspects of crop productivity. An important question for crop improvement is “How can breeders and agronomists effectively explore the diverse opportunities within the high dimensionality of the complex G × E × M factorial to achieve sustainable improvements in crop productivity?” Whenever G × E × M interactions make important contributions to attainment of crop productivity, we should consider how to design crop improvement strategies that can explore the potential space of G × E × M possibilities, reveal the interesting Genotype–Management (G–M) technology opportunities for the Target Population of Environments (TPE), and enable the practical exploitation of the associated improved levels of crop productivity under on-farm conditions. Climate change adds additional layers of complexity and uncertainty to this challenge, by introducing directional changes in the environmental dimension of the G × E × M factorial. These directional changes have the potential to create further conditional changes in the contributions of the genetic and management dimensions to future crop productivity. Therefore, in the presence of G × E × M interactions and climate change, the challenge for both breeders and agronomists is to co-design new G–M technologies for a non-stationary TPE. Understanding these conditional changes in crop productivity through the relevant sciences for each dimension, Genotype, Environment, and Management, creates opportunities to predict novel G–M technology combinations suitable to achieve sustainable crop productivity and global food security targets for the likely climate change scenarios. Here we consider critical foundations required for any prediction framework that aims to move us from the current unprepared state of describing G × E × M outcomes to a future responsive state equipped to predict the crop productivity consequences of G–M technology combinations for the range of environmental conditions expected for a complex, non-stationary TPE under the influences of climate change.

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