scholarly journals Vulnerability analysis of capture fisheries to climate change based on the Province Scale (exposure and sensitivity analysis)

2021 ◽  
Vol 869 (1) ◽  
pp. 012016
Author(s):  
V Mandhalika ◽  
A B Sambah ◽  
D O Sutjipto ◽  
F Iranawati ◽  
M A Z Fuad ◽  
...  

Abstract Fisheries has a major contribution for the Indonesian economy both on a local and national scale. However, the phenomenon of climate change can threaten the sustainability of this sector. Therefore, a scientific approach is needed to determine the level of risk and adaptation strategies for fisheries, one of which is through vulnerability analysis. Vulnerability is the final analysis resulted from the analysis of sensitivity and exposure. Both of these analyses are important to determine the parameters that will affect the value of the fishery vulnerability to climate change. This research is focused on sensitivity and exposure analysis with the coverage limit is the province area to determine the sensitivity and exposure index that exists in the study area. The result will be important input in further research for the vulnerability of capture fisheries to climate change. Three provinces in Indonesia were selected through purposive sampling method. The source of data for indices variables were using recorded data in 2009-2020 from relevant sources. Result described that SST variability in the three provinces has the same pattern. In the exposure analysis, the SST is linked to the catch resulting in different exposure statuses in each province. It also illustrated those areas with a very high number of fishermen and catches will have very high sensitivity. The research will support in the sustainable management of capture fish at the province scale.

2017 ◽  
pp. 1393-1416
Author(s):  
Sibananda Senapati ◽  
Vijaya Gupta

This paper is based on a detail review of literature available in the area of climate change, vulnerability and impact assessment. Methodological issues pertaining to vulnerability like; development of vulnerability indicators, process of indicator selection etc are the main focus in this paper. As discussed indicators are more acceptable, easy to understand and help in comparing across regions. However, indicators also possess a number of limitations. There are issues in selecting indicators and how to aggregate their values. The current study tries to overcome those issues through a primary study. The study region is Mumbai, India and ‘Koli' fishing communities reside in the city. The socio-economic implications of climate change and vulnerability of communities depending on fishery are estimated by developing vulnerability indicators using Sustainable Livelihood Approach (SLA), and Analytic Hierarchy Process (AHP). Further experts opinions are considered while selecting indicators. Vulnerability indicators are derived from literature and validated through experts' opinion. Experts are chosen from higher learning institutes in the city. In the climate change literature vulnerability mainly divided into exposure, sensitivity and adaptive capacity. The indicators of sensitivity and exposure under vulnerability are combined here and categorized into two: livelihood and perceived changes. Similarly the indicators of adaptive capacity are of five categories comprising human, physical, financial, social and government policy related indicators. Thus a total 30 indicators are selected. Among five fishing villages surveyed, fishermen from Madh and Worli are found more vulnerable because of their high sensitivity and low adaptive capacity. The derived vulnerability scores are further compared and analyzed against the scores derived from experts. The overall result shows the experts value of indicators are similar with the indicator score derived in the study using simple aggregate method. This study further provides policy implications for reducing vulnerability of fishing villages.


2021 ◽  
Author(s):  
Carla S. S. Ferreira ◽  
Samaneh Seifollahi-Aghmiuni ◽  
Georgia Destouni ◽  
Marijana Solomun ◽  
Navid Ghajarnia ◽  
...  

<p>Soil supports life on Earth and provides several goods and services of essence for human wellbeing. Over the last century, however, intensified human activities and unsustainable management practices, along with ongoing climate change, have been degrading soils’ natural capital, pushing it towards possible critical limits for its ability to provide essential ecosystem services. Soil degradation is characterized by negative changes in soil health status that may lead to partial or total loss of productivity and overall capacity to support human societies, e.g., against increasing climate risks. Such degradation leads to environmental, social and economic losses, which may in turn trigger land abandonment and desertification. In particular, the Mediterranean region has been identified as one of the most vulnerable and severely affected European regions by soil degradation, where the actual extent and context of the problem is not yet well understood. This study provides an overview of current knowledge about the status of soil degradation and its main drivers and processes in the European Mediterranean region, based on comprehensive literature review. In the Mediterranean region, 34% of the land area is subject to ‘very high sensitivity’ or ‘high sensitivity’ to desertification, and risk of desertification applies to over more than 65% of the territory of some countries, such as Spain and Cyprus (IPCC, 2019). The major degradation processes are: (i) soil erosion, due to very high erosion rates (>2 t/ha); (ii) loss of soil organic matter, due to high mineralization rates while the region is already characterized by low or very low soil organic matter (<2%); and (iii) soil and water salinisation, due to groundwater abstraction and sea water intrusion. However, additional physical, chemical and biological degradation processes, such as soil sealing and compaction, contamination, and loss of biodiversity, are also of great concern. Some of the degradation processes, such as soil erosion, have been extensively investigated and their spatial extent is relatively well described. Other processes, however, such as soil biodiversity, are poorly investigated and have limited data availability. In general, a lack of systematic inventories of soil degradation status limits the overall knowledge base and impairs understanding of the spatial and temporal dimensions of the problem. In terms of drivers, Mediterranean soil degradation has mainly been driven by increasing population, particularly in coastal areas, and its concentration in urban areas (and consequent abandonment of rural areas), as well as by land-use changes and intensification of socio-economic activities (e.g. agriculture and tourism). Additionally, climate change, with increasing extent and severity of extreme events (droughts, floods, wildfires), may also be a key degradation driver in this region. Improved information on soil degradation status (including spatio-temporal extent and severity) and enhanced knowledge of degradation drivers, processes and socio-economic, ecological, and biodiversity impacts are needed to better support regional soil management, policy, and decision making. Science and evidence based improvements of soil resource governance and management can enhance soil resilience to regional and global changes, and support the region to achieve related Sustainable Development Goals and the Land Degradation Neutrality targets.</p>


2019 ◽  
Vol 72 (1) ◽  
pp. 8707-8716 ◽  
Author(s):  
José Ricardo Macías Barberán ◽  
Gerardo José Cuenca Nevárez ◽  
Frank Guillermo Intriago Flor ◽  
Creuci Maria Caetano ◽  
Juan Carlos Menjivar Flores ◽  
...  

The consequences of climate change in the agricultural sector worldwide expose the need to understand the scope of their impact in order to develop mitigation and adaptation strategies for them. Therefore, this research evaluated the alterations in the environmental conditions and their relation with the vulnerability of smallholder cocoa (Theobroma cacao L.) producers to climate change in the province of Manabí. A non-probabilistic sampling of 1,060 small farmers was made in five cantons of Manabí. The vulnerability was determined through indicators such as the normalized difference vegetation index (NDVI), deforestation data from 1990 to 2016, models of the changes in climate and extreme weather events, satellite images, records from the National Institute of Meteorology and Hydrology (INAMHI by its initials in Spanish), and numerical outputs of mathematical models calibrated for Ecuador climatic and environmental data. Each indicator was calculated in conventional units and then categorized into vulnerability levels: low, medium, high and very high. For the indicators’ superposition, algebraic tools of the Geographic Information Systems’ (GIS) maps were used. The results showed a very high incidence of extreme events, deforestation higher than 6,000 ha year-1, an increase of 0.8 °C in temperature between 1960 and 2006, an increase in rainfall on the coastal zone close to 90% and a decrease of it of more than 20% on the agricultural area. Furthermore, coverage showed the following distribution of the determined vulnerability levels: low (13.30%), medium (34.74%), high (45.53%), and very high (6.43%).


Author(s):  
Sibananda Senapati ◽  
Vijaya Gupta

This paper is based on a detail review of literature available in the area of climate change, vulnerability and impact assessment. Methodological issues pertaining to vulnerability like; development of vulnerability indicators, process of indicator selection etc are the main focus in this paper. As discussed indicators are more acceptable, easy to understand and help in comparing across regions. However, indicators also possess a number of limitations. There are issues in selecting indicators and how to aggregate their values. The current study tries to overcome those issues through a primary study. The study region is Mumbai, India and ‘Koli' fishing communities reside in the city. The socio-economic implications of climate change and vulnerability of communities depending on fishery are estimated by developing vulnerability indicators using Sustainable Livelihood Approach (SLA), and Analytic Hierarchy Process (AHP). Further experts opinions are considered while selecting indicators. Vulnerability indicators are derived from literature and validated through experts' opinion. Experts are chosen from higher learning institutes in the city. In the climate change literature vulnerability mainly divided into exposure, sensitivity and adaptive capacity. The indicators of sensitivity and exposure under vulnerability are combined here and categorized into two: livelihood and perceived changes. Similarly the indicators of adaptive capacity are of five categories comprising human, physical, financial, social and government policy related indicators. Thus a total 30 indicators are selected. Among five fishing villages surveyed, fishermen from Madh and Worli are found more vulnerable because of their high sensitivity and low adaptive capacity. The derived vulnerability scores are further compared and analyzed against the scores derived from experts. The overall result shows the experts value of indicators are similar with the indicator score derived in the study using simple aggregate method. This study further provides policy implications for reducing vulnerability of fishing villages.


2021 ◽  
Vol 13 (6) ◽  
pp. 3147
Author(s):  
Ricardo Enrique Hernández-Lambraño ◽  
David Rodríguez de la Cruz ◽  
José Ángel Sánchez Agudo

Biogeographical theory suggests that widespread retractions of species’ rear edges are expected due to anthropogenic climate change, affecting in a particularly intense way those linked to fragile habitats, such as species’ rear edges closely dependent on specific water conditions. In this way, this paper studies the potential effects of anthropogenic climate change on distribution patterns of threatened rear edge populations of five European hydrophyte plants distributed in the Iberian Peninsula. We explored (i) whether these populations occur at the limit of the species’ climatic tolerance, (ii) we quantified their geographic patterns of vulnerability to climate change, and in addition, (iii) we identified in a spatially explicit way whether these threatened populations occur in vulnerable environments to climate change. To do this, we simulated the climatic niche of five hydrophyte species using an ecological modelling approach based on occurrences and a set of readily available climatic data. Our results show that the Iberian populations studied tended to occur in less suitable environments relative to each of the species’ optimal climates. This result suggests a plausible explanation for the current degree of stagnancy or regression experienced by these populations which showed high sensitivity and thus vulnerability to thermal extremes and high seasonality of wet and temperature. Climatic predictions for 2050 displayed that most of the examined populations will tend to occur in situations of environmental risk in the Iberian Peninsula. This result suggests that the actions aimed at the conservation of these populations should be prioritized in the geographic locations in which vulnerability is greatest.


2017 ◽  
Author(s):  
Janine Rice ◽  
Tim Bardsley ◽  
Pete Gomben ◽  
Dustin Bambrough ◽  
Stacey Weems ◽  
...  

2019 ◽  
Vol 1 (34) ◽  
pp. 391-422
Author(s):  
اشواق حسن حميد صالح

Climate change and its impact on water resources is the problem of the times. Therefore, this study is concerned with the subject of climate change and its impact on the water ration of the grape harvest in Diyala Governorate. The study was based on the data of the Khanaqin climate station for the period 1973-2017, (1986-2017) due to lack of data at governorate level. The general trend of the elements of the climate and its effect on the water formula was extracted. The equation of change was extracted for the duration of the study. The statistical analysis was also used between the elements of the climate (actual brightness, normal temperature, micro and maximum degrees Celsius, wind speed m / s, relative humidity% The results of the statistical analysis confirm that the water ration for the study area is based mainly on the X7 evaporation / netting variable, which is affected by a set of independent variables X1 Solar Brightness X4 X5 Extreme Temperature Wind Speed ​​3X Minimal Temperature and Very High Level .


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