Climate change vulnerability and adaptation options for the coastal communities of Pakistan

Salik, Kashif Majeed; Jahangir, S.; Zahdi, Waheed ul Zafar; Hasson, Shabeh ul

doi:10.1016/j.ocecoaman.2015.05.006

Cited by 105 publications

(61 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The rate of average annual temperature change was 0.2 °C between 1907 and 1945 per decade, which by 2007 had gone up to 0.53 °C per decade. 3 In a comprehensive assessment, Salik et al (2015) explain future climate trends in Pakistan based on country-specific climate scenarios. Using RCP8.5 4 scenario, it was projected that during 2030-59, average annual temperature is expected to rise by 2 °C or slightly less in semi-arid regions (with base period 1970-1999), especially in the irrigated plains.…”

Section: Rural Economy In Semi-arid Pakistanmentioning

confidence: 99%

“…Precipitation has the probability of declining in the monsoon belt, comprising the arid and semi-arid regions, however, uncertainty related to precipitation trends is high. Salik et al (2015) project a decrease in average precipitation in the first half of the year (up to − 17%) and an increase in the second half of the year (up to + 12%). As agriculture is largely concentrated in the arid and semi-arid regions of Pakistan, these areas are the breadbasket of the country.…”

Section: Rural Economy In Semi-arid Pakistanmentioning

confidence: 99%

See 1 more Smart Citation

What Defines Livelihood Vulnerability in Rural Semi-Arid Areas? Evidence from Pakistan

et al. 2018

Self Cite

View full text Add to dashboard Cite

Rural livelihoods in semi-arid Pakistan are increasingly exposed to climate impacts such as rising temperatures, erratic rainfalls and more intense and frequent climate-related extreme events. This is introducing new risks to the already vulnerable and marginalised societies that lack development and have high poverty rates. This study uses the IPCC Livelihood Vulnerability Index (LVI) approach to analyse the determinants of household livelihood vulnerability defining vulnerability in terms of exposure, sensitivity and adaptive capacity. It also determines various adaptation responses that farmers apply and elucidates the reasons why some farmers choose not to adapt to climate change. It focuses on three semi-arid districts in Pakistan (Faisalabad, D.G. Khan and Mardan) and uses a sample of 150 rural agricultural households. As per the LVI scores, D.G. Khan is the most vulnerable district to climate change impacts, followed by Mardan and Faisalabad, respectively. Results show that (a lack of) adaptive capacity plays quite an important role in shaping households' livelihood vulnerability for any given degree of exposure and sensitivity. Besides lower exposure and sensitivity to climate change, extremely low levels of adaptive capacity make Mardan more vulnerable to climate change compared to Faisalabad. The paper argues on people-centric development for rural areas through strengthening of agriculture sector as well as providing rural household opportunities for off-farm livelihoods.

show abstract

Section: Rural Economy In Semi-arid Pakistanmentioning

confidence: 99%

Section: Rural Economy In Semi-arid Pakistanmentioning

confidence: 99%

What Defines Livelihood Vulnerability in Rural Semi-Arid Areas? Evidence from Pakistan

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…Population density in the coastal zones of South Asia has increased drastically during the last 15 years, and this has led to a further increase in risk due to natural hazards (Mani Murali et al 2013). To date, the coastal hazard assessments were carried out at Puducherry and Cuddalore in South India (Mani Murali et al 2013;Saxena et al 2013), western Bangladesh (Karim and Mimura 2008) and the Indus Delta in Pakistan (Salik et al 2015). In this study, mapping of this hazard along the South Asian coast was carried out by integrating the following six different parameters: …”

Section: Sea-level Risementioning

confidence: 99%

Mapping multiple climate-related hazards in South Asia

Amarnath¹,

Alahacoon²,

Smakhtin³

et al. 2017

View full text Add to dashboard Cite

170 Research ReportsThe publications in this series cover a wide range of subjects-from computer modeling to experience with water user associations-and vary in content from directly applicable research to more basic studies, on which applied work ultimately depends. Some research reports are narrowly focused, analytical and detailed empirical studies; others are wide-ranging and synthetic overviews of generic problems.Although most of the reports are published by IWMI staff and their collaborators, we welcome contributions from others. Each report is reviewed internally by IWMI staff, and by external reviewers. The reports are published and distributed both in hard copy and electronically (www.iwmi.org) and where possible all data and analyses will be available as separate downloadable files. Reports may be copied freely and cited with due acknowledgment. About IWMIIWMI's mission is to provide evidence-based solutions to sustainably manage water and land resources for food security, people's livelihoods and the environment. IWMI works in partnership with governments, civil society and the private sector to develop scalable agricultural water management solutions that have a tangible impact on poverty reduction, food security and ecosystem health.

show abstract

“…Sixteen warmest years of the globe occurred during the last two decades. Similarly, local impacts of the regionally varying climate change can differ significantly, depending upon the local adaptive capacity, exposure and resilience (Salik et al, 2015), especially for the sectors of water, food and energy security. In view of high sensitivity of mountainous environments to climate change and the role of melt water as an important regulator for UIB runoff dynamics, it is very important to study the snow and glacier and their impacts on the hydrologic regime of this Upper Indus region under climate variability to manage the available water resources.…”

Section: Introductionmentioning

confidence: 99%

Comparative Assessment of Runoff and Its Components in Two Catchments of Upper Indus Basin by Using a Semi Distributed Glacio-Hydrological Model

Ali

Bano

Kayastha

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:The hydrology of Upper Indus basin is not recognized well due to the intricacies in the climate and geography, and the scarcity of data above 5000 m a.s.l where most of the precipitation falls in the form of snow. The main objective of this study is to measure the contributions of different components of runoff in Upper Indus basin. To achieve this goal, the Modified positive degree day model (MPDDM) was used to simulate the runoff and investigate its components in two catchments of Upper Indus basin, Hunza and Gilgit River basins. These two catchments were selected because of their different glacier coverage, contrasting area distribution at high altitudes and significant impact on the Upper Indus River flow. The components of runoff like snow-ice melt and rainfall-base flow were identified by the model. The simulation results show that the MPDDM shows a good agreement between observed and modeled runoff of these two catchments and the effects of snow and ice are mainly reliant on the catchment characteristics and the glaciated area. For Gilgit River basin, the largest contributor to runoff is rain-base flow, whereas large contribution of snow-ice melt observed in Hunza River basin due to its large fraction of glaciated area. This research will not only contribute to the better understanding of the impacts of climate change on the hydrological response in the Upper Indus, but will also provide guidance for the development of hydropower potential and water resources assessment in these catchments.

show abstract

Climate change vulnerability and adaptation options for the coastal communities of Pakistan

Cited by 105 publications

References 28 publications

What Defines Livelihood Vulnerability in Rural Semi-Arid Areas? Evidence from Pakistan

What Defines Livelihood Vulnerability in Rural Semi-Arid Areas? Evidence from Pakistan

Mapping multiple climate-related hazards in South Asia

Comparative Assessment of Runoff and Its Components in Two Catchments of Upper Indus Basin by Using a Semi Distributed Glacio-Hydrological Model

Contact Info

Product

Resources

About