scholarly journals Effects of the Climate Change on Peripheral Populations of Hydrophytes: A Sensitivity Analysis for European Plant Species Based on Climate Preferences

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.

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.


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.


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

2020 ◽  
Author(s):  
Alistair Soutter ◽  
René Mõttus

Although the scientific evidence of anthropogenic climate change continues to grow, public discourse still reflects a high level of scepticism and political polarisation towards anthropogenic climate change. In this study (N = 499) we attempted to replicate and expand upon an earlier finding that environmental terminology (“climate change” versus “global warming”) could partly explain political polarisation in environmental scepticism (Schuldt, Konrath, & Schwarz, 2011). Participants completed a series of online questionnaires assessing personality traits, political preferences, belief in environmental phenomenon, and various pro-environmental attitudes and behaviours. Those with a Conservative political orientation and/or party voting believed less in both climate change and global warming compared to those with a Liberal orientation and/or party voting. Furthermore, there was an interaction between continuously measured political orientation, but not party voting, and question wording on beliefs in environmental phenomena. Personality traits did not confound these effects. Furthermore, continuously measured political orientation was associated with pro-environmental attitudes, after controlling for personality traits, age, gender, area lived in, income, and education. The personality domains of Openness, and Conscientiousness, were consistently associated with pro-environmental attitudes and behaviours, whereas Agreeableness was associated with pro-environmental attitudes but not with behaviours. This study highlights the importance of examining personality traits and political preferences together and suggests ways in which policy interventions can best be optimised to account for these individual differences.


2019 ◽  
Vol 76 (5) ◽  
pp. 806-814
Author(s):  
Paul W. Simonin ◽  
Lars G. Rudstam ◽  
Patrick J. Sullivan ◽  
Donna L. Parrish ◽  
Bernard Pientka

We studied the consequences of a nonnative species introduction and changes in temperature on early mortality and recruitment of native rainbow smelt (Osmerus mordax) and nonnative alewife (Alosa pseudoharengus) in Lake Champlain using a simulation model. Distribution patterns of adults and young-of-the-year (YOY) fish were predicted using a model based on observed distribution of different age groups as a function of temperature and light profiles simulated on a daily basis. Mortality rates averaged over the growing season were calculated as a function of fish densities and overlap between adults and YOY. Survival of YOY rainbow smelt and alewife depended on which predator was most abundant. Rainbow smelt YOY mortality rates are highest when rainbow smelt adults are abundant, and alewife YOY mortality rates are highest when alewife adults are abundant, potentially allowing coexistence. August and September mortality rates were higher in the climate change scenario because of increased overlap of adults and YOY of both species. These results indicate that accounting for spatiotemporal fish distribution patterns can be important when forecasting the interacting effects of climate change and aquatic invasive species on fish recruitment.


2021 ◽  
pp. 1-18
Author(s):  
Lauren Honig ◽  
Amy Erica Smith ◽  
Jaimie Bleck

Addressing climate change requires coordinated policy responses that incorporate the needs of the most impacted populations. Yet even communities that are greatly concerned about climate change may remain on the sidelines. We examine what stymies some citizens’ mobilization in Kenya, a country with a long history of environmental activism and high vulnerability to climate change. We foreground efficacy—a belief that one’s actions can create change—as a critical link transforming concern into action. However, that link is often missing for marginalized ethnic, socioeconomic, and religious groups. Analyzing interviews, focus groups, and survey data, we find that Muslims express much lower efficacy to address climate change than other religious groups; the gap cannot be explained by differences in science beliefs, issue concern, ethnicity, or demographics. Instead, we attribute it to understandings of marginalization vis-à-vis the Kenyan state—understandings socialized within the local institutions of Muslim communities affected by state repression.


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