• Keine Ergebnisse gefunden

Sector Vulnerability Country Rank (2015)

N/A
N/A
Protected

Academic year: 2022

Aktie "Sector Vulnerability Country Rank (2015)"

Copied!
4
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

Sector Vulnerability Country Rank (2015) Exposure

Sensitivity Capacity

Food

Projected change of cereal yields

Food import dependency

Fertilizer, irrigation, pesticide and tractor use

1.Andorra 2. Morocco 3. Eritrea Projected population

change Rural population Child malnutrition

Water

Projected change of annual runoff

Fresh water withdrawal rate

Access to reliable drinking water

1.Monaco 2. Macedonia 3.San Marino Projected change of

annual groundwater recharge

Water dependency

ratio Dam capacity

Health

Projected change of deaths from climate induced diseases

Slum population Medical staff

1.Australia 2.Dominican Republic 3.Niger Projected change of

length of transmission season of vector-borne diseases

Dependency on external resource for health services

Access to improved sanitation facilities.

Ecosystem Services

Projected change of biome distribution

Dependency on

natural capital Protected biomes

1.Luxenburg 2.Monaco 3.Tuvalu Projected change of

marine biodiversity Ecological footprint

Engagement in International environmental conventions

Human habitat

Projected change of warm period

Urban concentration

Quality of trade and transport related infrastructure

1.Luxenburg 2.Bahrain 3.Burundi Projected change of

flood hazard

Age dependency

ratio Paved roads

Infrastructure

Projected change of hydropower generation capacity

Dependency on

imported energy Electricity access

1.Andorra 2.Macedonia 3.Chad Projection of Sea Level

Rise impacts

Population living under 5 m above the sea

Disaster preparedness

Table S1. Indicators for vulnerability measures in Country Index of the Global Adaptation Initiative at the University of Notre Dame (ND-GAIN). Includes examples of the (1) least, (2) medium, and (3) the most vulnerable country in each sector based on 2015 ranking.

(2)

Figure S1 Climate exposure score, 2010. Colors Shading reflects climate vulnerability quartiles, with cut points of 0.43 (25th percentile), 0.49 (50th percentile), and 0.53 (75th percentile). Mean score was 0.48, with a range of 0.42 (min=0.32; max=0.74). Data taken from the Country Index of the Notre Dame Global Adaptation Index (ND-GAIN), and cover 179 countries. Data deficient countries shown in white.

(3)

Figure S2 Climate sensitivity score, 2010. Colors Shading reflects climate vulnerability quartiles, with cut points of 0.32 (25th percentile), 0.43 (50th percentile), and 0.52 (75th percentile). Mean score was 0.42, with a range of 0.66 (min=0.14; max=0.80). Data taken from the Country Index of the Notre Dame Global Adaptation Index (ND-GAIN), and cover 179 countries. Data deficient countries shown in white.

(4)

Figure S3 Climate adaptive capacity score, 2010. Colors Shading reflects climate vulnerability quartiles, with cut points of 0.36 (25th percentile), 0.48 (50th percentile), and 0.65 (75th percentile). Mean score was 0.51, with a range of 0.79 (min=0.15; max=0.94). Data taken from the Country Index of the Notre Dame Global Adaptation Index (ND-GAIN), and cover 179 countries. Data deficient countries shown in white.

Referenzen

ÄHNLICHE DOKUMENTE

acceptance of mutual nuclear restraint has at least a theoretical potential to weaken deterrence of Chinese aggression in the western Pacific; to place more of a burden on the

Beijing, the PRC’s objectives clearly include gaining rule-setting authority over the Yellow Sea, the East China Sea, and the South China Sea; victory for the PRC in all of

By using a multiplicative approach, we ensure that a WTU only ranks high when it has considerable water resources either as precipitation, glacier ice, snow and surface water or

Based on this definition, the Vulnerability Sourcebook distinguishes between four key components that determine whether, and to what extent, a system is susceptible to climate

Regardless of the considered RCP, the vulnerability scenarios that consists of removing species from the global pool of marine mammals according to their level of vulnerability

Globally, soil erosion by water accounts for the greatest loss of soil directly associated with other global change drivers, like land use (e.g., clear-cutting, intensification

Human Cu/Zn superoxide dismutase (SOD1) overexpression in mice causes mitochondrial vacuolization, axonal degeneration, and premature motoneuron death and accelerates

The  pharmaceutical  drug  carbamazepine  is  considered  an  effective  wastewater  marker.  The  behavior of  this  drug  was  analyzed  at  a  mature  karst