scholarly journals High Sowing Densities in Rainfed Common Beans (Phaseolus vulgaris L.) in Mexican Semi-Arid Highlands under Future Climate Change

Agronomy ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 442
Author(s):  
Alma Delia Baez-Gonzalez ◽  
Ricardo Fajardo-Díaz ◽  
Giovanni Garcia-Romero ◽  
Esteban Osuna-Ceja ◽  
James R. Kiniry ◽  
...  
Keyword(s):  
Climate Change ◽  
Phaseolus Vulgaris ◽  
Common Bean ◽  
Growth Habit ◽  
Future Climate ◽  
Future Climate Change ◽  
Climate Scenarios ◽  
Phaseolus Vulgaris L ◽  
Rainfed Conditions ◽  
Semi Arid

Mexico holds the largest single bean production area in the world that is vulnerable to drought. Using field data and two future climate scenarios (RCP4.5 and RCP8.5) for the period 2020–2039, this study evaluated three common bean (Phaseolus vulgaris L.) cultivars planted under rainfed conditions at different densities in two locations in the north-central Mexican semi-arid temperate highlands. The sowing densities were 90,000, 145,000, and 260,000 plants ha−1 established in single rows (SR), three rows (3R), and six rows (6R), respectively. The climate change scenarios were derived from an assembly model integrating 11 general circulation models (GCM) selected for Mexico with a 30” arc resolution. The baseline climate was for the period 1961–2010. The ALMANACMEX model (USDA-ARS-INIFAP, Temple, USA) was parameterized and evaluated and then re-run using the climate scenarios. Beans planted at 6R showed the highest increase in seed yield in both climate scenarios, although the response varied by cultivar and time periods. For the growth habit III cultivars, Flor de Mayo Bajio showed no difference in yield, while Pinto Saltillo, a drought-resistant cultivar, showed increases of 13% to 16% at 6R only until 2033. Growth habit I cultivar Azufrado 2 showed more than 60% increases at 6R in both climate scenarios for the full period 2020–2039. These results suggest that considering the projected climate conditions, high sowing densities may be a viable agronomic option for common bean production under rainfed conditions in semi-arid temperate regions, such as the highlands of Mexico, in the near future; however, the selection of the cultivar is a key element to consider in this regard.

scholarly journals Dynamics of soil organic carbon in the steppes of Russia and Kazakhstan under past and future climate and land use

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Susanne Rolinski ◽  
Alexander V. Prishchepov ◽  
Georg Guggenberger ◽  
Norbert Bischoff ◽  
Irina Kurganova ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Organic Carbon ◽  
Land Use Change ◽  
Soil Organic Carbon ◽  
Arable Land ◽  
Future Climate ◽  
Future Climate Change ◽  
Climate Scenarios ◽  
The Impact

AbstractChanges in land use and climate are the main drivers of change in soil organic matter contents. We investigated the impact of the largest policy-induced land conversion to arable land, the Virgin Lands Campaign (VLC), from 1954 to 1963, of the massive cropland abandonment after 1990 and of climate change on soil organic carbon (SOC) stocks in steppes of Russia and Kazakhstan. We simulated carbon budgets from the pre-VLC period (1900) until 2100 using a dynamic vegetation model to assess the impacts of observed land-use change as well as future climate and land-use change scenarios. The simulations suggest for the entire VLC region (266 million hectares) that the historic cropland expansion resulted in emissions of 1.6⋅ 1015 g (= 1.6 Pg) carbon between 1950 and 1965 compared to 0.6 Pg in a scenario without the expansion. From 1990 to 2100, climate change alone is projected to cause emissions of about 1.8 (± 1.1) Pg carbon. Hypothetical recultivation of the cropland that has been abandoned after the fall of the Soviet Union until 2050 may cause emissions of 3.5 (± 0.9) Pg carbon until 2100, whereas the abandonment of all cropland until 2050 would lead to sequestration of 1.8 (± 1.2) Pg carbon. For the climate scenarios based on SRES (Special Report on Emission Scenarios) emission pathways, SOC declined only moderately for constant land use but substantially with further cropland expansion. The variation of SOC in response to the climate scenarios was smaller than that in response to the land-use scenarios. This suggests that the effects of land-use change on SOC dynamics may become as relevant as those of future climate change in the Eurasian steppes.

scholarly journals Including Variability across Climate Change Projections in Assessing Impacts on Water Resources in an Intensively Managed Landscape

Water ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 286
Author(s):  
Bangshuai Han ◽  
Shawn G. Benner ◽  
Alejandro N. Flores
Keyword(s):  
Climate Change ◽  
Future Climate ◽  
Coupled Processes ◽  
Future Climate Change ◽  
Irrigated Agriculture ◽  
Climate Projections ◽  
Climate Scenarios ◽  
Irrigation Amount ◽  
Stochastic Weather Generator ◽  
Intensively Managed

：In intensively managed watersheds, water scarcity is a product of interactions between complex biophysical processes and human activities. Understanding how intensively managed watersheds respond to climate change requires modeling these coupled processes. One challenge in assessing the response of these watersheds to climate change lies in adequately capturing the trends and variability of future climates. Here we combine a stochastic weather generator together with future projections of climate change to efficiently create a large ensemble of daily weather for three climate scenarios, reflecting recent past and two future climate scenarios. With a previously developed model that captures rainfall-runoff processes and the redistribution of water according to declared water rights, we use these large ensembles to evaluate how future climate change may impact satisfied and unsatisfied irrigation throughout the study area, the Treasure Valley in Southwest Idaho, USA. The numerical experiments quantify the changing rate of allocated and unsatisfied irrigation amount and reveal that the projected temperature increase more significantly influences allocated and unsatisfied irrigation amounts than precipitation changes. The scenarios identify spatially distinct regions in the study area that are at greater risk of the occurrence of unsatisfied irrigation. This study demonstrates how combining stochastic weather generators and future climate projections can support efforts to assess future risks of negative water resource outcomes. It also allows identification of regions in the study area that may be less suitable for irrigated agriculture in future decades, potentially benefiting planners and managers.

scholarly journals Nitrogen fixation by common bean (Phaseolus vulgaris L.) in pure and mixed stands in semi-arid south-east Kenya

2001 ◽  
Vol 14 (1) ◽  
pp. 1-12 ◽  
Author(s):  
John M Maingi ◽  
Chris A Shisanya ◽  
Nkanata M Gitonga ◽  
Berthold Hornetz
Keyword(s):  
Nitrogen Fixation ◽  
Phaseolus Vulgaris ◽  
Common Bean ◽  
Phaseolus Vulgaris L ◽  
Mixed Stands ◽  
Semi Arid

scholarly journals A framework for modelling fish and shellfish responses to future climate change

2009 ◽  
Vol 66 (7) ◽  
pp. 1584-1594 ◽  
Author(s):  
Anne Babcock Hollowed ◽  
Nicholas A. Bond ◽  
Thomas K. Wilderbuer ◽  
William T. Stockhausen ◽  
Z. Teresa A'mar ◽  
...  
Keyword(s):  
Climate Change ◽  
Surface Temperature ◽  
Bering Sea ◽  
Environmental Variables ◽  
Future Climate ◽  
Future Climate Change ◽  
Climate Scenarios ◽  
The Mean ◽  
Fish And Shellfish ◽  
The Bering Sea

AbstractHollowed, A. B., Bond, N. A., Wilderbuer, T. K., Stockhausen, W. T., A'mar, Z. T., Beamish, R. J., Overland, J. E., and Schirripa, M. J. 2009. A framework for modelling fish and shellfish responses to future climate change. – ICES Journal of Marine Science, 66: 1584–1594. A framework is outlined for a unified approach to forecasting the implications of climate change on production of marine fish. The framework involves five steps: (i) identification of mechanisms underlying the reproductive success, growth, and distribution of major fish and shellfish populations, (ii) assessment of the feasibility of downscaling implications of climate scenarios derived from Intergovernmental Panel on Climate Change (IPCC) models for regional ecosystems to select and estimate relevant environmental variables, (iii) evaluation of climate model scenarios and select IPCC models that appear to provide valid representations of forcing for the region of study, (iv) extraction of environmental variables from climate scenarios and incorporation into projection models for fish and shellfish, and (v) evaluation of the mean, variance, and trend in fish and shellfish production under a changing ecosystem. This framework was applied to forecast summer sea surface temperature in the Bering Sea from 2001 to 2050. The mean summer surface temperature was predicted to increase by 2°C by 2050. The forecasting framework was also used to estimate the effects of climate change on production of northern rock sole (Lepidopsetta polyxystra) through projected changes in cross-shelf transport of larvae in the Bering Sea. Results suggest that climate change will lead to a modest increase in the production of strong year classes of northern rock sole.

OAC Inferno common bean

2012 ◽  
Vol 92 (3) ◽  
pp. 589-592 ◽  
Author(s):  
T. H. Smith ◽  
T. E. Michaels ◽  
A. Navabi ◽  
K. P. Pauls
Keyword(s):  
Phaseolus Vulgaris ◽  
Common Bean ◽  
Good Yield ◽  
Growth Habit ◽  
Kidney Bean ◽  
Yield Potential ◽  
Phaseolus Vulgaris L ◽  
Red Kidney Bean ◽  
Canning Quality

Smith, T. H., Michaels, T. E., Navabi, A. and Pauls, K. P. 2012. OAC Inferno common bean. Can. J. Plant Sci. 92: 589–592. OAC Inferno (CFIA registration no. 7020) is dark red kidney bean (Phaseolus vulgaris L.) cultivar with a determinate bushy growth habit, mid to full season maturity and good yield potential. Seed has acceptable cooking and canning quality.

scholarly journals Ecosystem Services under Climate Change Impact Water Infrastructure in a Highly Forested Basin

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2825
Author(s):  
Xupu Li ◽  
Liwei Zhang ◽  
Patrick J. O’Connor ◽  
Junping Yan ◽  
Bin Wang ◽  
...  
Keyword(s):  
Climate Change ◽  
Ecosystem Services ◽  
River Basin ◽  
Soil Conservation ◽  
Future Climate ◽  
Future Climate Change ◽  
Climate Scenarios ◽  
Stochastic Weather Generator ◽  
Related Services ◽  
Hanjiang River

Climate change can have critical impacts on ecosystem services (ESs) and their inter-relationships, especially for water-related services. However, there has been little work done on characterizing the current and future changes in these services and their inter-relationships under a changing climate. Based on the revised universal soil loss equation (RUSLE), the soil conservation service curve number model (SCS-CN), and the improved stochastic weather-generator-based statistical downscaled global climate models (GCMs), we examined two important water-related services, namely, the soil conservation (SC) service and the flood mitigation (FM) service, and their inter-relationship under baseline and future climate scenarios (Representative Concentration Pathways (RCPs) 4.5 and 8.5). We took the Upper Hanjiang River Basin (UHRB), which is the core water source area of the China’s South-to-North Water Diversion Project (S–NWDP), as an illustration. The findings revealed that (1) the SC and FM services will both decrease under the two climate scenarios examined; (2) the SC and FM services showed a significant synergistic inter-relationship and the synergy will be improved by 16.48% and 2.95% under RCP 4.5 and RCP 8.5, respectively, which provides an opportunity for management optimization; (3) the ecological degradation in the UHRB will likely have serious consequences for the middle and lower reaches of the Hanjiang river basin, and therefore impact the actual economic benefits of the S–NWDP. This study points to the necessity for understanding the dynamic changes and inter-relationships of ecosystem services under future climate change and provides information regarding the consequences of climate change, which is useful for policy and infrastructure investment.

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