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Oceans

OCEANS | ALL PROJECTS

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Peter Popdonev donated € 10 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Svetlana Goranova donated € 20 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Saglara Inzhieva donated € 30 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Emiliyana Terziyska donated € 25 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Daniel Mendez donated € 10 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Rumyana Velcheva donated € 50 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Martin Bakardzhiev donated € 10 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Sandeep Bajjuri donated € 25 to binee - Interactive E-Waste Collection System . cyrielle simeone donated € 50 to Application of satellite telemetry data to better understand the breeding strategies of humpback whales in the Southern Hemisphere . Milka Koldamova donated € 10 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Steffen Albrecht donated € 20 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Trayan Angelov donated € 20 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Felizia Kuhlke donated € 50 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Giorgio Mussi donated € 30 to CROWDFOREST: Making Reforestation Faster and Free through Unmanned Aerial Vehicles . Oliver Schwab donated € 10 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Friederike Gnädinger donated € 30 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Konstantin Krahtov donated € 20 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Michele Dondi donated € 30 to CROWDFOREST: Making Reforestation Faster and Free through Unmanned Aerial Vehicles . Trayan Angelov donated € 11 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Amy McPherson donated € 20 to Giving for Mitigating Climate Change . Andreyana Andreeva-Florian donated € 40 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . joe hasell donated € 20 to Expanding Sesi’s Bottle Refill Scheme to Make Zero Plastic Waste Shopping Mainstream in the UK . Milena Ivanova donated € 60 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Angel Georgiev donated € 50 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Bozhana Zagorcheva donated € 5 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Leonardo Gaffuri donated € 5 to CROWDFOREST: Making Reforestation Faster and Free through Unmanned Aerial Vehicles . Gianmarco Gallo donated € 30 to CROWDFOREST: Making Reforestation Faster and Free through Unmanned Aerial Vehicles . anna minerva donated € 50 to CROWDFOREST: Making Reforestation Faster and Free through Unmanned Aerial Vehicles . marta tosi donated € 50 to CROWDFOREST: Making Reforestation Faster and Free through Unmanned Aerial Vehicles . Ildiko Milanovich donated € 50 to K'uxiub'al: Sustainable Energy for Healthy Families in San Andrés Itzapa . Ildiko Milanovich donated € 70 to Building an Efficient Technology for Women's Economic Empowerment . Ildiko Milanovich donated € 50 to CROWDFOREST: Making Reforestation Faster and Free through Unmanned Aerial Vehicles . Ildiko Milanovich donated € 50 to Expanding Sesi’s Bottle Refill Scheme to Make Zero Plastic Waste Shopping Mainstream in the UK . Robert Eckstein donated € 5 to Green Summit: Supporting Young People in Smaller Communities . Mariya Markova donated € 50 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Francesca Devoto donated € 50 to CROWDFOREST: Making Reforestation Faster and Free through Unmanned Aerial Vehicles . john gaffey donated € 12 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Adi Lazos donated € 22 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Juliana Medaglia donated € 20 to Fighting the Silent Disappearance of the Great Brazilian Savannah . FREDERIC ACHARD donated € 50 to CROWDFOREST: Making Reforestation Faster and Free through Unmanned Aerial Vehicles . Thalita Medaglia donated € 15 to Fighting the Silent Disappearance of the Great Brazilian Savannah . Katie Hereing donated € 25 to Expanding Sesi’s Bottle Refill Scheme to Make Zero Plastic Waste Shopping Mainstream in the UK . Angelica Seminara donated € 10 to CROWDFOREST: Making Reforestation Faster and Free through Unmanned Aerial Vehicles . Nevena Vlaykova donated € 20 to The Bedechka Case: Fighting the Neglect of Green Urban Areas . Melanie Bitto donated € 40 to Application of satellite telemetry data to better understand the breeding strategies of humpback whales in the Southern Hemisphere . Cristiano Rocco Marra donated € 30 to CROWDFOREST: Making Reforestation Faster and Free through Unmanned Aerial Vehicles . Ro Leaver donated € 30 to Expanding Sesi’s Bottle Refill Scheme to Make Zero Plastic Waste Shopping Mainstream in the UK . Phili Denning donated € 25 to Expanding Sesi’s Bottle Refill Scheme to Make Zero Plastic Waste Shopping Mainstream in the UK . Isabel gregory donated € 20 to Expanding Sesi’s Bottle Refill Scheme to Make Zero Plastic Waste Shopping Mainstream in the UK . Akshay Pai donated € 50 to The Bedechka Case: Fighting the Neglect of Green Urban Areas .

PlanA Newsletter

PROBLEMS TO SOLVE

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DATA INSIGHTS

MARINE PROTECTED AREAS (MPAs)

PERCENTAGE OF MPA WITHIN A COUNTRY TERRITORIAL WATERS

The MPA Score measures what percentage of a country exclusive economic zone (the area of sea that belongs economically to a country) is protected by a form of preservation zone. This indicator helps to assess the level of protection and sustainable management of marine ecosystems in each country.

Each dot in the plot represents a country and its MPA score (Y-axis) on a scale from 0-100, with 100 being the best score and 0 being the worst. Countries at the bottom have less marine protected areas coverage when compared to the countries at the top of the plot.


Globally, there are around 14,688 MPAs covering an area of 14.9 million km² making up 10.1% of the global marine ecosystem. Although nearly 99% of countries have established more than 50% of national marine areas under effective protection, a few countries, such as Haiti, lag far behind the world in establishing MPAs.


These countries have made little progress in recent years towards MPA implementation, often due to their environmental governance challenges, including poverty and political instability. Since successful marine protected areas can ensure sustainable fisheries and food security, more MPAs need to implement, especially in the countries where the need for conservation is most urgent. (Source: EPI, 2018 )


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MARINE PROTECTED AREAS (MPAs)

PERCENTAGE OF MPA WITHIN A COUNTRY TERRITORIAL WATERS

Graph

The MPA Score measures what percentage of a country exclusive economic zone (the area of sea that belongs economically to a country) is protected by a form of preservation zone. This indicator helps to assess the level of protection and sustainable management of marine ecosystems in each country.

Each dot in the plot represents a country and its MPA score (Y-axis) on a scale from 0-100, with 100 being the best score and 0 being the worst. Countries at the bottom have less marine protected areas coverage when compared to the countries at the top of the plot.


Globally, there are around 14,688 MPAs covering an area of 14.9 million km² making up 10.1% of the global marine ecosystem. Although nearly 99% of countries have established more than 50% of national marine areas under effective protection, a few countries, such as Haiti, lag far behind the world in establishing MPAs.


These countries have made little progress in recent years towards MPA implementation, often due to their environmental governance challenges, including poverty and political instability. Since successful marine protected areas can ensure sustainable fisheries and food security, more MPAs need to implement, especially in the countries where the need for conservation is most urgent. (Source: EPI, 2018 )


Level of water stress

EFFICIENCY OF FRESH WATER RESOURCES AGAINST WATER SCARCITY

The level of water stress indicates the ratio of freshwater withdrawal by major sectors (i.e. agriculture, manufacturing, construction and energy) to available freshwater resources. This indicator helps to monitor SDG Target 6.4 – Water Use and Scarcity. Each bar in the plot represents a regional water stress score (X-axis) on a percentage scale, 0% being no freshwater demand and 100% or higher indicates situations where freshwater demand (withdrawn by major economic sectors) exceeds total available freshwater resource.


Although Oceania has a low availability of fresh water resource, it has the lowest level of water stress (2%) due to low population density. Sub-Saharan Africa, one of the world’s driest regions, is the second least water-stressed region (3%) because of its low water-intensive economy. All Asian subcontinents face severe freshwater stress, led by Central Asia (79%), Western Asia (65%), Southern Asia (49%) and Eastern Asia (30%).


Due to its high population density and water-intensive economy, especially in agriculture (cotton, rice, wheat and vegetables), Asia has considerably higher freshwater demands compared to other regions. Northern Africa is the only region withdrawing more than 100% of their available freshwater resources. This occurs mainly because of the overexploitation of freshwater resources triggered by growing (and inadequate) demand on the side of agriculture and energy sectors. This results in the rapid depletion of freshwater sources as seen most direly in the Aral Sea in Central Asia for example. (Source: SDG 6.4, 2018, AQUASTAT, 2018)

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Level of water stress

EFFICIENCY OF FRESH WATER RESOURCES AGAINST WATER SCARCITY

Graph

The level of water stress indicates the ratio of freshwater withdrawal by major sectors (i.e. agriculture, manufacturing, construction and energy) to available freshwater resources. This indicator helps to monitor SDG Target 6.4 – Water Use and Scarcity. Each bar in the plot represents a regional water stress score (X-axis) on a percentage scale, 0% being no freshwater demand and 100% or higher indicates situations where freshwater demand (withdrawn by major economic sectors) exceeds total available freshwater resource.


Although Oceania has a low availability of fresh water resource, it has the lowest level of water stress (2%) due to low population density. Sub-Saharan Africa, one of the world’s driest regions, is the second least water-stressed region (3%) because of its low water-intensive economy. All Asian subcontinents face severe freshwater stress, led by Central Asia (79%), Western Asia (65%), Southern Asia (49%) and Eastern Asia (30%).


Due to its high population density and water-intensive economy, especially in agriculture (cotton, rice, wheat and vegetables), Asia has considerably higher freshwater demands compared to other regions. Northern Africa is the only region withdrawing more than 100% of their available freshwater resources. This occurs mainly because of the overexploitation of freshwater resources triggered by growing (and inadequate) demand on the side of agriculture and energy sectors. This results in the rapid depletion of freshwater sources as seen most direly in the Aral Sea in Central Asia for example. (Source: SDG 6.4, 2018, AQUASTAT, 2018)

COUNTRY HOTSPOTS

These are the countries where this theme is particularly important and
need most pressing action. Discover the hotspots.

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OCEANS | ALL PROJECTS

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