scholarly journals Climate Change Scenarios, Their Impacts And Implications On Indian Cardamom-Coffee Hot Spots, One of The Two In The World

2021 ◽  
Author(s):  
Murugan Muthusamy ◽  
M Alagupalamuthirsolai ◽  
K Ashokkumar ◽  
A Anandhi ◽  
R Ravi ◽  
...  
Keyword(s):  
Scenario Analysis ◽  
Hot Spots ◽  
Black Pepper ◽  
Southern India ◽  
Climate Change Scenarios ◽  
Study Region ◽  
Entire Study ◽  
Mixed Response ◽  
Coffee Yield ◽  
Temperature Levels

Abstract In this study, we investigated climatic parameters as well as predicted future change in precipitation and atmospheric temperature levels based on RCP4.5/8.5 scenarios in all cardamom-coffee hot spots of southern India. Our results showed that larger precipitation levels and pattern occurred in Cardamom hills (Kerala) followed by lower Puleny hills in Tamil Nadu. The least variation in precipitation levels has noticed for temperate upper Puleny hills and Kodagu hills in Karnataka. RCP4.5/8.5 scenario analysis showed greater variability in precipitation up to 180% increase and 90% decrease for all hot sports. The scenario analysis also predicted extreme variation in temperature levels ranging from 0.5–8.5ºC increase for the entire study region. A significant change in the coffee yield and quality has been recorded over the last 30 years. Increased yield trends in coffee were noticed for Cardamom hills (CH) and Kodagu hills, but significantly lower coffee production was observed for lower Pulney hills. The mixed response of yield variability in coffee has been primarily attributed to the ongoing changing climatic factors. Ecophysiological studies of coffee, cardamom and black pepper have proved that coffee would adapt well to a future challenging climatic condition, closely followed by cardamom and black pepper. Since all the coffee-cardamom hot spots in southern India undergoes considerable change in precipitation levels and pattern, necessary precautions, including water and irrigation management strategies, must be given utmost priority to increase the crop yield sustainability of these delicate cardamom-coffee hot spots in India.

scholarly journals Projections of CMIP5 evaporation data sets under future climate change scenarios and comparison with estimates from the observations over peninsular India

2021 ◽  
Vol 22 (2) ◽  
pp. 186-190
Author(s):  
G. PURNA DURGA ◽  
A. NAGA RAJESH ◽  
T.V. LAKSHMI KUMAR
Keyword(s):  
Climate Change ◽  
India Meteorological Department ◽  
Future Climate ◽  
Future Climate Change ◽  
Change Scenario ◽  
Data Sets ◽  
Climate Change Scenarios ◽  
Northeast Monsoon ◽  
Study Region ◽  
Mixed Response

Present study commences from the time series analysis of evaporation data sets obtained from the Coupled Modeled Inter comparison Project of Phase 5 (CMIP5) for the study period 1979 to 2100 under the RCP 4.5 and 8.5 emission scenarios over Interior Peninsular region during the Northeast monsoon (October to December) period. Further, a comparative analysis has been carried out with the evapotranspiration (ET) estimated from the Hargreaves and Samani (1982) using the temperature data of India Meteorological Department for the period 1979 to 2005. Our results show that evaporation trends are increasing with more prominence in RCP 8.5 scenario. This increase in evaporation has been attributed to increase in air temperature which is an undisputed fact under future climate change scenario. Different climate models of CMIP5 show mixed response by displaying the positive and negative correlations with the Hargreaves ET over the study region. The results of the study will be useful in understanding the bias between the modeled data sets and the estimates of ET from the observations.

scholarly journals Impact of climate change on hydro-meteorological drought over the Be River Basin, Viet Nam

2021 ◽  
Author(s):  
Dao Nguyen Khoi ◽  
Truong Thao Sam ◽  
Pham Thi Loi ◽  
Bui Viet Hung ◽  
Van Thinh Nguyen
Keyword(s):  
Climate Change ◽  
River Basin ◽  
General Circulation ◽  
Southern Oscillation ◽  
Meteorological Drought ◽  
Climate Projections ◽  
Research Station ◽  
Climate Change Scenarios ◽  
Study Region ◽  
Meteorological Droughts

Abstract In this paper, the responses of hydro-meteorological drought to changing climate in the Be River Basin located in Southern Vietnam are investigated. Climate change scenarios for the study area were statistically downscaled using the Long Ashton Research Station Weather Generator tool, which incorporates climate projections from Coupled Model Intercomparison Project 5 (CMIP5) based on an ensemble of five general circulation models (Can-ESM2, CNRM-CM5, HadGEM2-AO, IPSL-CM5A-LR, and MPI-ESM-MR) under two Representative Concentration Pathway (RCP) scenarios (RCP4.5 and RCP8.5). The Soil and Water Assessment Tool model was employed to simulate streamflow for the baseline time period and three consecutive future 20 year periods of 2030s (2021–2040), 2050s (2041–2060), and 2070s (2061–2080). Based on the simulation results, the Standardized Precipitation Index and Standardized Discharge Index were estimated to evaluate the features of hydro-meteorological droughts. The hydrological drought has 1-month lag time from the meteorological drought and the hydro-meteorological droughts have negative correlations with the El Niño Southern Oscillation and Pacific Decadal Oscillation. Under the climate changing impacts, the trends of drought severity will decrease in the future; while the trends of drought frequency will increase in the near future period (2030s), but decrease in the following future periods (2050 and 2070s). The findings of this study can provide useful information to the policy and decisionmakers for a better future planning and management of water resources in the study region.

Short visits reveal consistent patterns of interyear and intercolony variation in seabird nestling diet and performance

2002 ◽  
Vol 80 (12) ◽  
pp. 2190-2199 ◽  
Author(s):  
D F Bertram ◽  
T Golumbia ◽  
G K Davoren ◽  
A Harfenist ◽  
J Brown
Keyword(s):  
Growth Performance ◽  
Large Scale ◽  
Southern Oscillation ◽  
Large Contribution ◽  
Fish Prey ◽  
Study Region ◽  
Entire Study ◽  
Nestling Growth ◽  
Nestling Development ◽  
Nestling Diet

To investigate the utility of short visits to seabird colonies to gauge nestling growth performance and diet, in 4 consecutive years (1995–1998) we measured nestling development and diet of Rhinoceros Auklets (Cerorhinca monocerata) at three colonies in British Columbia: Seabird Rocks, Triangle Island, and SGaang Gwaii (Anthony Island). In all years, nestlings of a given wing length on Triangle Island were significantly smaller than those on Seabird Rocks or SGaang Gwaii. Meals were also significantly lighter on Triangle Island than on Seabird Rocks or SGaang Gwaii; meals on the latter two islands were indistinguishable in mass. Retarded nestling development and small meal size on Triangle Island likely reflect the large contribution of rockfish (Sebastes spp.) to nestling diet on that colony alone. The intercolony differences in nestling performance appear to reflect the strong influence of local fish prey populations. Nonetheless, a united decline in performance in 1996 and subsequent increase on all colonies suggest the influence of large-scale ocean climate phenomena on our entire study region and beyond. We did not, however, observe noticeable effects of the 1997–1998 El Niño Southern Oscillation event on nestling growth performance or diet. We discuss the utility of our short-visit techniques for seabird-monitoring programs.

scholarly journals Spatial Paradigms in Road Networks and Their Delimitation of Urban Boundaries Based on KDE

2020 ◽  
Vol 9 (4) ◽  
pp. 204 ◽  
Author(s):  
Yuying Lin ◽  
Xisheng Hu ◽  
Mingshui Lin ◽  
Rongzu Qiu ◽  
Jinguo Lin ◽  
...  
Keyword(s):  
Spatial Data ◽  
Rural Areas ◽  
Urban Areas ◽  
Critical Role ◽  
Road Networks ◽  
Spatial Data Analysis ◽  
Easy Method ◽  
Study Region ◽  
Entire Study ◽  
Depth Analysis

An in-depth analysis of urban road network distribution plays a critical role in understanding the urbanization process. However, effective ways to quantitatively analyze the spatial paradigms of road networks are still lacking, and few studies have utilized road networks to rapidly identify urban areas of a region. Thus, using a fast-developing region in the south-eastern costal region of China, Fuzhou City, as a case, we introduced kernel density estimation (KDE) to characterize road networks and quantified the area’s spatial heterogeneity using exploratory spatial data analysis (ESDA) and semivariance analysis (SA). The results show that there is an uneven spatial distribution of the networks both at the regional and downtown levels. At the regional level, there is a conspicuous polarization in the road distribution, with the KDE being much higher in the urban areas than in the rural areas; at the downtown level, the KDE gradually decreases from the center to the periphery. Quantitatively, the ranges of the spatial dependence of the networks are approximately 25 km for the entire study region and 12 km for the downtown area. Additionally, the spatial variations vary among different directions, with greater variations in the northeast–southwest and the southeast–northwest directions compared with the other directions, which is in line with the urban sprawl policy of the study area. Both the qualitative and quantitative results show that the distribution of road networks has a clear urban–rural dual structure, which indicates that road networks can be an active tool in identifying the urban areas of a region. To this end, we propose a quick and easy method to delimit urban areas using KDE. The extraction results of KDE are better than those of the index-based built-up index (IBI), indicating the effectivity and feasibility of our proposed method to identify the urban areas in the region. This research sheds new light on urbanization development research.

scholarly journals Analysis of the spatial variation in the parameters of the SWAT model with application in Flanders, Northern Belgium

2004 ◽  
Vol 8 (5) ◽  
pp. 931-939 ◽  
Author(s):  
G. Heuvelmans ◽  
B. Muys ◽  
J. Feyen
Keyword(s):  
Stream Flow ◽  
Hydrological Model ◽  
Swat Model ◽  
Single Parameter ◽  
Model Parameters ◽  
Study Region ◽  
Entire Study ◽  
Time Periods ◽  
Parameter Values ◽  
Parameter Approach

Abstract. Operational applications of a hydrological model often require the prediction of stream flow in (future) time periods without stream flow observations or in ungauged catchments. Data for a case-specific optimisation of model parameters are not available for such applications, so parameters have to be derived from other catchments or time periods. It has been demonstrated that for applications of the SWAT in Northern Belgium, temporal transfers of the parameters have less influence than spatial transfers on the performance of the model. This study examines the spatial variation in parameter optima in more detail. The aim was to delineate zones wherein model parameters can be transferred without a significant loss of model performance. SWAT was calibrated for 25 catchments that are part of eight larger sub-basins of the Scheldt river basin. Two approaches are discussed for grouping these units in zones with a uniform set of parameters: a single parameter approach considering each parameter separately and a parameter set approach evaluating the parameterisation as a whole. For every catchment, the SWAT model was run with the local parameter optima, with the average parameter values for the entire study region (Flanders), with the zones delineated with the single parameter approach and with the zones obtained by the parameter set approach. Comparison of the model performances of these four parameterisation strategies indicates that both the single parameter and the parameter set zones lead to stream flow predictions that are more accurate than if the entire study region were treated as one single zone. On the other hand, the use of zonal average parameter values results in a considerably worse model fit compared to local parameter optima. Clustering of parameter sets gives a more accurate result than the single parameter approach and is, therefore, the preferred technique for use in the parameterisation of ungauged sub-catchments as part of the simulation of a large river basin. Keywords: hydrological model, regionalisation, parameterisation, spatial variability

scholarly journals Agroforestry Suitability Mapping for the Northwest Provinces of Vietnam

Proceedings ◽  
2020 ◽  
Vol 36 (1) ◽  
pp. 142
Author(s):  
Quyet Manh Vu ◽  
Tri Dan Nguyen
Keyword(s):  
Climate Change ◽  
Spatial Data ◽  
Soil Depth ◽  
Climate Change Scenarios ◽  
Land Use Land Cover ◽  
Study Region ◽  
Temperature And Precipitation ◽  
Potential Development ◽  
Land Cover Maps ◽  
The Impact

This study aims to assess the potential development of selected agroforestry options for three provinces in the Northwest of Vietnam. Available spatial data including Land use/land cover maps and forest inventory maps were used as the base maps in combination with supplementary data and field survey to determine the potential agroforestry areas. Soil types, soil depth, soil texture, elevation, slope, temperature and rainfall were used to evaluate the biophysical suitability of ten typical agroforestry options in the study region. For assessing the impact of climate change to agroforestry suitability in the future, temperature and precipitation data extracted from two climate changes scenarios (Representative Concentration Pathway 4.5 and 8.5 in 2046–2065) were used. The results showed that the suitable areas for agroforestry development in Dien Bien, Sơn La and Yen Bai provinces were 267.74.01 ha, 405,597.96 ha; and 297,995.55 ha, respectively. Changes in temperature and precipitation by 2 climate change scenarios affected significantly to the suitability of Docynia indica + livestock grass, Teak + plum + coffee + grass and Plum + maize + livestock grass options. The map of agroforestry suitability can be served as a useful source in developing and expanding the area of agroforestry in the target provinces, and can be applied for other provinces in the same region in Vietnam.

scholarly journals Genotype-Environment Interaction: Trade-Offs between the Agronomic Performance and Stability of Dual-Purpose Sorghum (Sorghum bicolor L. Moench) Genotypes in Senegal

Agronomy ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 867 ◽  
Author(s):  
Malick Ndiaye ◽  
Myriam Adam ◽  
Komla Kyky Ganyo ◽  
Aliou Guissé ◽  
Ndiaga Cissé ◽  
...  
Keyword(s):  
Sorghum Bicolor ◽  
Biomass Production ◽  
Environment Interaction ◽  
Agronomic Performance ◽  
Study Region ◽  
Entire Study ◽  
Grain Yields ◽  
Trade Offs ◽  
Biomass Yields ◽  
Sorghum Bicolor L

Introducing sorghum (Sorghum bicolor L. Moench) genotypes into new environments is necessary for expanding the production of food and fuel, but these efforts are complicated by significant genotype × environment interactions that can reduce their effectiveness. This study set out to thoroughly analyze genotype × environment interactions and assess trade-offs between the agronomic performance and the stability of grain and biomass yields of ten contrasting genotypes under Sudano-Sahelian conditions. Experiments were carried out in a randomized complete block design with four replicates. They were conducted from 2013 to 2016 in Bambey, Sinthiou Malem and Nioro du Rip in Senegal. The joint analysis of variance revealed a highly significant effect (p < 0.0001) of genotypes (G), environments (E) and G × E interaction. Most genotypes showed specific adaptations. The best grain yields were obtained by the Nieleni and Fadda hybrids, while the improved varieties IS15401 and SK5912 were best for biomass production. An Additive Main effect and Multiplicative Interaction (AMMI) analysis showed that good grain yields were associated with environments having good soil fertility and good rainfall, while biomass yields were more influenced by the sowing date and rainfall. Similarly, we were able to confirm for our 10 sorghum genotypes that yield stability was generally associated with low performance, except for the Nieleni and Fadda hybrids, which performed well for grain and biomass production regardless of the environment. The Senegalese control genotype, 621B, showed particular susceptibility to growing conditions (soil), but remained very productive (more than 3 tons per hectare) under good agro-pedological conditions. These results lead us to recommend the Fadda and Nieleni hybrids for the entire study region, while 621B can also be recommended, but only for highly specific environments with good soils.

scholarly journals Changes in Vegetation Greenness in the Upper and Middle Reaches of the Yellow River Basin over 2000–2015

2019 ◽  
Vol 11 (7) ◽  
pp. 2176 ◽  
Author(s):  
Wei Wang ◽  
Lin Sun ◽  
Yi Luo
Keyword(s):  
Land Use ◽  
Ecological Restoration ◽  
Yellow River ◽  
The Yellow River ◽  
Fluctuation Analysis ◽  
Vegetation Development ◽  
Vegetation Dynamic ◽  
Study Region ◽  
Entire Study ◽  
Land Use Types

The Grain to Green Project (GTGP), a large ecological restoration project aiming to control soil erosion and improve the ecological environment, has been implemented since 1999 and has led to great land use changes with decreased farmland and increased forest and grass, and significant vegetation variations. Understanding vegetation variations for different land use types is important for accessing the present vegetation development and providing scientific guidance for future ecological restoration design and regional sustainable development. With two land use maps and MODIS LAI data, trend analysis, fluctuation analysis, and R/S methods were applied to analyze the vegetation dynamic changes and sustainability for converted land use types from cropland and unconverted types over 2000–2015 in the upper and middle reaches of the Yellow River. The results obtained were as follows: (1) Vegetation greening was remarkable in the entire study region (0.036 yr−1). The increasing rate was higher in wetter conditions with AI < 3 (0.036–0.053 yr−1) than arid regions with AI > 3 (0.012–0.024 yr−1). (2) Vegetation improved faster for converted forestland, shrubland, and grassland than unconverted types under similar drying conditions. Converted shrubland and grassland had a larger relative change than converted forestland. (3) Converted land use types generally exhibited stronger fluctuation than unconverted types with small differences among types. (4) Vegetation exhibited a sustainable increasing trend in the future, which accounted for more than 73.1% of the region, mainly distributed in the middle reach of the Yellow River. Vegetation restoration exerted important influences on vegetation greening and the effect was stronger for converted types than unconverted types.

Historical analysis of changes in land use and carbon stock of vegetation in south and southeast Asia

1991 ◽  
Vol 21 (1) ◽  
pp. 91-110 ◽  
Author(s):  
Elizabeth P. Flint ◽  
John F. Richards
Keyword(s):  
Land Use ◽  
Carbon Content ◽  
Carbon Stock ◽  
Demographic Data ◽  
Standing Stock ◽  
Carbon Equivalent ◽  
Vegetation Types ◽  
Study Region ◽  
Entire Study ◽  
Ecological Zones

A time series (1880, 1920, 1950, 1980) of estimates of land use and carbon content of vegetation is presented for a contiguous area of 1.7 × 106 km2 in northern India, Bangladesh, and Burma. This was developed using sequential bookkeeping models, which systematically incorporate official agricultural and forest statistics with ecological, botanical, historical, geographical, and demographic data. For 149 administrative units, aggregated into 39 ecological zones, we estimated area and carbon content for each of the following land-use categories: net cultivated area, settled–built-up area, forest–woodland, interrupted woods, grass–shrub complexes, barren – sparsely vegetated areas, wetlands, and surface water. Dominant patterns of land-use change were deforestation, agricultural expansion, and wetland clearance, but significant regional and temporal disparities were observed. For the entire study region, the estimated standing stock of carbon in biomass declined by 2.62 Gt over the century. Release by periods was 911 Mt for 1880–1920, 750 Mt for 1920–1950, and 964 Mt for 1950–1980. Forest–woodland and interrupted woods vegetation released carbon equivalent to over 90% of the total release. Both conversion of forest to other vegetation types and reduction over time of biomass within vegetation types contributed significantly to decreases in total standing carbon stock during the period.

scholarly journals Predatory fishing monitoring with the use of geographic information system

2020 ◽  
Vol 9 (11) ◽  
pp. e70191110455
Author(s):  
Wanderson Gonçalves e Gonçalves ◽  
Fabiano Soares Andrade ◽  
Jamyle Atiziram Lima Ferreira ◽  
Mikaela Bergström ◽  
Hebe Morganne Campos Ribeiro
Keyword(s):  
River Basin ◽  
Critical Points ◽  
Hot Spots ◽  
Hot Spot ◽  
Vegetation Types ◽  
Fishing Activity ◽  
Entire Study ◽  
Critical Areas ◽  
Environmental Agencies ◽  
The City

The Brazilian Institute of Environment and Renewable Natural Resources (IBAMA) determines a regulatory set of instructions for fisheries agreements. These rules control fishing activity in Brazilian basins during closed fishing seasons. However, many fishermen violate the agreements, as seen in the river basin Uba, in the municipality of Moju-Pará. When fishermen breach IBAMA’s stated regulations, the municipality is urged to act on the case, but with little knowledge of critical areas which suffer from overfishing. This makes the logistics of solving these issues difficult and often problematic. This work strives to serve as an aid to environmental agencies in their endeavor to inspect and regulate the issue of overfishing in critical areas, such as the Úba river basin in the municipality of Moju-Para. Our methods include a literature review of research concerning the issue, identifying critical points, as well as preparing maps and proposals for the site of environmental monitoring activities in the city. From within the critical points, we identified the hot spots. We observed five distinct vegetation types located roughly 10 kilometers along the river, and the corresponding agricultural anthropic areas to 49% of the entire study area’s territory. It is noted that the areas of greatest concentrations of overfished territories are lined with countryside, forest and dense vegetation. Thus, environmental inspections should take place in areas near the communities and the Úba river and especially in the area beyond the Levi resort, where the hot spot was identified, while always considering the logistics for hard to reach areas.

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