Habitats and Ecosystems

Cold-Water Corals Extent

Anonymous — Mon, 02 Aug 2021 07:31:11 +0000

Cold-Water Corals Extent

Anonymous Mon, 08/02/2021 - 03:31

The dataset shows the country's extent of Cold-water Corals for African, Caribbean and Pacific countries. The original dataset and statistics are provided by UNEP World Conservation Monitoring Centre (UNEP-WCMC).

Source:UNEP-WCMC (2021). Ocean+ Habitats [On-line], [July 2021]. Available at: habitats.oceanplus.org

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Data Uploaded by Simona Lippi using the BIOPAMA Services (2022)

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natural areas, landscape, ecosystems

Global Data

Cold-Water Corals Extent

Source:UNEP-WCMC (2021). Ocean+ Habitats [On-line], [July 2021]. Available at: habitats.oceanplus.org

https://api.biopama.org/api/marine_ecosystems/function/api_coldcoral

iso3

{"name":"Country", "show": true, "nameLocation": "middle", "nameGap": 80, "type":"category", "data":"iso3"}

{"name":"Cold-Water Coarals Extent", "nameLocation": "middle", "nameGap": 80, "type":"category", "data":"area"}

{"name":"Cold-water corals extent sqkm", "type":"bar", "bp_count":"Cold-water corals extent sqkm", "data":"area"}

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REST

Natural Breaks (Jenks)

diverging-4

National Data

Total cold-water coral extent protected per country

https://api.biopama.org/api/marine_ecosystems/function/api_coldcoral/iso3=ISO3

iso3

{"name":"Country", "show": true, "nameLocation": "middle", "nameGap": 80, "type":"category", "data":"iso3"}

{"name":"Total cold-water coral extent protected ", "nameLocation": "middle", "nameGap": 80, "type":"value", "data":"prot_coral"}

{"name":"Total cold-water coral extent protected per country ", "type":"bar", "bp_count":"Total cold-water coral extent protected per country ", "data":"prot_coral"}

{"name":"Total cold-water coral extent per country ", "type":"bar", "bp_count":"Total cold-water coral extent per country ", "data":"area"}

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REST

Natural Breaks (Jenks)

diverging-4

Topic

Habitats and Ecosystems

Cold-Water Corals Protection

Anonymous — Wed, 28 Jul 2021 13:35:42 +0000

Cold-Water Corals Protection

Anonymous Wed, 07/28/2021 - 09:35

The dataset shows the country's protection percentage of Cold-water Corals for African, Caribbean and Pacific countries. The original dataset and statistics are provided by UNEP World Conservation Monitoring Centre (UNEP-WCMC).

Source:UNEP-WCMC (2021). Ocean+ Habitats [On-line], [July 2021]. Available at: habitats.oceanplus.org

Related Policies

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Data Uploaded by Simona Lippi using the BIOPAMA Services (2021)

Response (Policies and Goals/Targets)

14.5 By 2020, conserve at least 10 per cent of coastal and marine areas, consistent with national and international law and based on the best available scientific information

Target 10 on Vulnerable Ecosystems

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Global Data

Cold Coral Protection

The dataset shows the percentage of Cold-Water Coral protected for African, Caribbean and Pacific countries. The dataset of cold coral extent and statistics are provided by UNEP World Conservation Monitoring Centre (UNEP-WCMC).

Source:UNEP-WCMC (2021). Ocean+ Habitats [On-line], [July 2021]. Available at: habitats.oceanplus.org

Related Policies

https://api.biopama.org/api/marine_ecosystems/function/api_coldcoral

iso3

{"name":"Country", "show": true, "nameLocation": "middle", "nameGap": 80, "type":"category", "data":"iso3"}

{"name":"cold coral protection", "nameLocation": "middle", "nameGap": 80, "type":"value", "data":"perc"}

{"name":"Percentage of Cold Coral Protected", "type":"bar", "bp_count":"Percentage of Cold Coral Protected", "data":"perc"}

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REST

Natural Breaks (Jenks)

diverging-4

National Data

Warm-Water Corals Protection by MPAs

The chart shows the contribution of each marine protected area to the Coral Reef protection for African, Caribbean and Pacific countries. The dataset of Coral reef extent is provided by UNEP World Conservation Monitoring Centre (UNEP-WCMC). Boundaries of the protected areas used here are coming from the World Database on Protected Areas (WDPA), July 21, Cambridge, UK: UNEP-WCMC and IUCN. www.protectedplanet.net

Source:UNEP-WCMC (2021). Ocean+ Habitats [On-line], [July 2021]. Available at: habitats.oceanplus.org

https://api.biopama.org/api/marine_ecosystems/function/api_coralreef_wdpa_statistics_/iso3=ISO3

wdpaid

WDPAID

{"name":"Marine Protected Areas", "show": true, "nameLocation": "middle", "nameGap": 80, "type":"category", "data":"wdpaid"}

{"name":"Percentage of Coral reef protection by MPAs", "nameLocation": "middle", "nameGap": 80, "type":"value", "data":"perc_prot_by_pa"}

{"name":"Percentage of Coral reef protection by MPAs", "type":"bar", "bp_count":"Percentage of Coral reef protection by MPAs", "data":"perc_prot_by_pa"}

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Natural Breaks (Jenks)

diverging-4

Topic

Habitats and Ecosystems

Forest Dynamics

Manager — Tue, 24 May 2022 09:26:12 +0000

Forest Dynamics

Manager Tue, 05/24/2022 - 05:26

How well are forests preserved in a given area? Forests are one of the most important terrestrial habitats and a carbon sink that needs to be conserved to fulfil biodiversity conservation and climate change mitigation targets. By informing of forest cover trends, and their spatial distribution, it is possible to highlight countries, ecoregions or specific protected areas with worrying forest loss trends, as well as others where forest cover is well maintained or even increases through time either naturally or through forestation.

Indicator unit: Forest change statistics are expressed as the trend in the percent of the land covered by forests, as well as the total forest area (km2 ) gained or lost when compared to the reference year 2000.

Area of interest: The forest cover for the year 2000 and the forest change statistics are computed for each protected area, each country and each ecoregion and are provided for each terrestrial and coastal protected area of size ≥ 1 km2 ,each country and each terrestrial ecoregion.

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Data Uploaded by Luca Battistella using the Digital Observatory for Protected Areas Services (2022)

Response (Policies and Goals/Targets)

15.2: By 2020, promote the implementation of sustainable management of all types of forests, halt deforestation, restore degraded forests and substantially increase afforestation and reforestation globally

Technical Reference/Fact Sheet

DOPA Factsheet

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forestry

Pressure

Natural system modifications

Add Map Layers

{ "id": "Forest Cover loss 2001-2014", "type": "raster", "source": { "tilejson": "2.2.0", "type": "raster", "tiles": ["https://storage.googleapis.com/earthenginepartners-hansen/tiles/gfc_v1.4/loss_alpha/{z}/{x}/{y}.png"], "tileSize": 256 } }

{ "id": "Forest Cover gain 2001-2019", "type": "raster", "source": { "tilejson": "2.2.0", "type": "raster", "tiles": ["https://storage.googleapis.com/earthenginepartners-hansen/tiles/gfc_v1.4/gain_alpha/{z}/{x}/{y}.png"], "tileSize": 256 } }

PA Data

Forest Dynamics

Forests concentrate a large portion of terrestrial biological diversity and are one of the main storages of carbon, which is accumulated in the forest biomass, in the dead organic matter and in the forest soils. Halting or reducing forest loss is required to ensure the conservation of many species that depend on forest habitats and ecosystems. On the other hand, a sustainable use and management of forests, which obtains wood and non-wood products for human use while ensuring forest persistence, is crucial to support, in many areas, the livelihoods of rural communities, which would otherwise get impoverished by a depleted forest cover. Avoiding forest loss, or increasing the area covered by forests where necessary, is also needed to preserve or restore many other important ecosystem services like water regulation, erosion control, pollution control or recreation. Forests are in risk in many areas due to a variety of pressures, most notably agricultural expansion but also extractive activities (such as mining), urbanization, infrastructure development or wildfires, among others.

https://rest-services.jrc.ec.europa.eu/services/d6dopa/dopa_42/get_dopa_wdpa_all_inds?format=json&wdpaid=WDPAID

{"name":"PA", "show": true, "nameLocation": "middle", "nameGap": 80, "type":"category", "data":"pa_name"}

{"name":"Forest cover (%) in PA", "nameLocation": "middle", "nameGap": 80, "type":"value", "data":"gfc_loss_perc_tot"}

{"name":"Forest Loss (%) ", "type":"bar", "bp_count":"Forest Loss (%) ", "data":"gfc_loss_perc_tot"}

{"name":"Forest Gain (%) ", "type":"bar", "bp_count":"Forest Gain (%) ", "data":"gfc_gain_perc_tot"}

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wdpaid

Natural Breaks (Jenks)

National Data

Forest Dynamics

https://rest-services.jrc.ec.europa.eu/services/d6dopa/dopa_42/get_dopa_country_all_inds?format=json&country_code=NUM

{"name":"Country ", "show": true, "nameLocation": "middle", "nameGap": 80, "type":"category", "data":"country_name"}

{"name":"Forest cover (%) in country", "nameLocation": "middle", "nameGap": 80, "type":"value", "data":"gfc_treecover_land_perc_country_land"}

{"name":"Forest loss (%) in country", "type":"bar", "bp_count":"Forest loss (%) in country", "data":"gfc_loss_perc_tot"}

{"name":"Forest loss (%) in protected lands", "type":"bar", "bp_count":"Forest loss (%) in protected lands", "data":"gfc_loss_prot_perc_tot"}

{"name":"Forest gain (%) in country", "type":"bar", "bp_count":"Forest gain (%) in country", "data":"gfc_gain_perc_tot"}

{"name":"Forest gain (%) in protected lands", "type":"bar", "bp_count":"Forest gain (%) in protected lands", "data":"gfc_gain_prot_perc_tot"}

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un_m49

Natural Breaks (Jenks)

Topic

Habitats and Ecosystems

Forest Landscape Integrity Index

Anonymous — Mon, 18 Oct 2021 09:10:24 +0000

Forest Landscape Integrity Index

Anonymous Mon, 10/18/2021 - 05:10

The Forest Landscape Integrity Index (FLII) is a composite index created to show the degree of forest integrity for 2019.

The authors identified three Forest Integrity categories: “high ”“medium”, and “low”.

Here it is presented the % of forested area with High Integrity over the total forested area by country. For Hight Forest Integrity, the authors mean “Interiors and natural edges of more or less unmodified naturally regenerated (i.e., non-planted) forest ecosystems, comprised entirely or almost entirely of native species, occurring over large areas either as continuous blocks or natural mosaics with non-forest vegetation; typically little human use other than low-intensity recreation or spiritual uses and/or low-intensity extraction of plant and animal products and/or very sparse presence of infrastructure; key ecosystem functions such as carbon storage, biodiversity, and watershed protection and resilience expected to be very close to natural levels (excluding any effects from climate change) although some declines possible in the most sensitive elements (e.g., some high value hunted species).”

Source: Grantham, H.S., Duncan, A., Evans, T.D. et al. Anthropogenic modification of forests means only 40% of remaining forests have high ecosystem integrity. Nat Commun 11, 5978 (2020).

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Data Uploaded by Simona Lippi using the BIOPAMA Services (2021)

Response (Policies and Goals/Targets)

Target 05 on Natural Habitats

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Global Data

Forest Landscape Integrity Index (FLII)

The Forest Landscape Integrity Index (FLII) is a composite index created to show the degree of forest integrity for 2019.
The authors identified three Forest Integrity categories:
“High ”“Medium”, and “Low”. Here it is presented the % of forested area with High Integrity over the total forested area by country.

Source:Grantham, H.S., Duncan, A., Evans, T.D. et al. Anthropogenic modification of forests means only 40% of remaining forests have high ecosystem integrity. Nat Commun 11, 5978 (2020).

https://api.biopama.org/api/forest/function/api_landscape_integrity_index

iso3

{"name":"Country", "show": true, "nameLocation": "middle", "nameGap": 80, "type":"category", "data":"iso3"}

{"name":"Percentage of forested area with High Integrity", "nameLocation": "middle", "nameGap": 80, "type":"value", "data":"high_int_perc"}

{"name":"Percentage of forested area with High Integrity", "type":"bar", "bp_count":"Percentage of forested area with High Integrity", "data":"high_int_perc"}

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Quantile

diverging-4

National Data

Forest Landscape Integrity Index (FLII)

The FLII is the first measure of ecological integrity for all the world’s forests. This index integrates data on observed and inferred forest pressures and lost forest connectivity to generate the first globally-consistent, continuous index of forest integrity as determined by degree of anthropogenic modification. The map shows the extent of forested area with low integrity score and high integrity score by country

https://api.biopama.org/api/forest/function/api_landscape_integrity_index/iso3=ISO3

iso3

{"name":"Country", "show": true, "nameLocation": "middle", "nameGap": 80, "type":"category", "data":"iso3"}

{"name":"Extent of forested areas with High Integrity score", "nameLocation": "middle", "nameGap": 80, "type":"value", "data":"high_integrity_sqkm"}

{"name":"Extent of forested areas with High Integrity score", "type":"bar", "bp_count":"Extent of forested areas with High Integrity score", "data":"high_integrity_sqkm"}

{"name":"Extent of forested areas with Low Integrity score", "type":"bar", "bp_count":"Extent of forested areas with Low Integrity score", "data":"low_integrity_sqkm"}

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Natural Breaks (Jenks)

diverging-4

Topic

Habitats and Ecosystems

Habitat diversity in protected areas

Manager — Tue, 31 May 2022 12:49:10 +0000

Habitat diversity in protected areas

Manager Tue, 05/31/2022 - 08:49

How important is a given area in terms of habitat diversity and associated species diversity? By identifying distinct habitats in a given area, one can highlight areas supporting a large variety of structural and functional ecosystem properties and, indirectly, a potentially higher species diversity.

Indicator unit: The THDI is derived from the square of the number of Terrestrial Habitat Functional Types (THFTs) encountered in a given area divided by the square root of the surface (in km2 ) of the protected area. The higher the THDI, the larger the diversity of habitats.

Area of interest: The THDI can be generated for any terrestrial area (e.g. country, ecoregion or protected area). The THDI has been calculated for each terrestrial protected area of size ≥ 5 km2 and for the terrestrial parts of each coastal protected areas of size ≥ 5 km2 .

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Data Uploaded by Luca Battistella using the Digital Observatory for Protected Areas Services (2022)

Response (Policies and Goals/Targets)

Target 12 on threatened species

Target 11 on Protected Areas

15.4: By 2030, ensure the conservation of mountain ecosystems, including their biodiversity, in order to enhance their capacity to provide benefits that are essential for sustainable development

Goal 15. Protect terrestrial ecosystems

Technical Reference/Fact Sheet

DOPA Factsheet

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National Data

Terrestrial habitat diversity

Use and interpretation: The number of distinct habitats in an area can be used to a certain extent as a proxy of biodiversity. The information can also be used to inform ecosystem mapping, protected area zoning and management, and for the planning of wildlife surveys. Applied to protected areas, the identification of the Terrestrial Habitat Functional Types (THFT) can further help to assess the complexity of the management of the area, and to indicate the potential diversity of species present (Rosenzweig 1995; Tews et al., 2004). Everything else being equal, protected areas with many distinct habitats are likely to require more resources for the management than those presenting a more homogenous environment. To compare the relative habitat diversity of protected areas, the Terrestrial Habitat Diversity Indicator (THDI) should be used instead of the number of THFTs as the THDI will not favor large protected areas over smaller ones.

https://dopa-services.jrc.ec.europa.eu/services/d6dopa/dopa_41/get_de_country_pa_stats?format=json&c_un_m49=NUM

wdpaid

WDPAID

{"name":"PA", "show": true, "nameLocation": "middle", "nameGap": 80, "type":"category", "data":"pa_name"}

{"name":"Terrestrial Habitat Diversity Indicator (THDI)", "nameLocation": "middle", "nameGap": 80, "type":"value", "data":"hdi"}

{"name":"Terrestrial Habitat Diversity Indicator (THDI)", "type":"bar", "bp_count":"Terrestrial Habitat Diversity Indicator (THDI)", "data":"hdi"}

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un_m49

Natural Breaks (Jenks)

Topic

Habitats and Ecosystems

Inland surface water dynamics

Manager — Tue, 24 May 2022 11:14:02 +0000

Inland surface water dynamics

Manager Tue, 05/24/2022 - 07:14

How well are we protecting freshwater ecosystems and how strong are anthropogenic changes affecting surface water in a given area? Human pressures are constantly increasing and it is important to monitor the consequences of the associated changes on the environment, in particular inside and around protected areas, to ensure that natural ecosystems and their associated species and ecosystem functions (e.g. goods and services) are preserved. By comparing surface water maps overtime at the country and protected area level, changes in water regimes can be identified.

Indicator unit: Areas of inland permanent and seasonal surface water and their changes over time (1984 - 2018) are expressed in km2 and percentages. The following statistics are computed for each protected area, each country and each terrestrial ecoregion and are provided, together with associated maps, for each terrestrial and coastal protected area of size ≥ 1 km2 and each country :

Net change (km2 ) of permanent surface water (1984 - 2020)
Net change (km2 ) of seasonal inland water (1984 - 2020)
Net change (km2 ) of protected permanent surface water (1984 - 2020)
Net change (km2 ) of protected seasonal inland water (1984 - 2020)

We further provide maps of water occurrence, water occurrence change intensity and water transitions. Area of interest Surfaces of inland surface water and change statistics have been computed at the country level, terrestrial ecoregion level and for all protected areas.

Area of interest: Surfaces of inland surface water and change statistics have been computed at the country level and for all protected areas.

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Data Uploaded by Luca Battistella using the Digital Observatory for Protected Areas Services (2022)

Response (Policies and Goals/Targets)

Target 6.6.1 Change in the extent of water-related ecosystems over time

Technical Reference/Fact Sheet

DOPA Factsheet

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water

Pressure

Natural system modifications

Add Map Layers

{ "id": "Global Surface Water Transition Layer", "type": "raster", "source": { "tilejson": "2.2.0", "type": "raster", "tiles": ["https://storage.googleapis.com/global-surface-water/maptiles/transitions/{z}/{x}/{y}.png"], "tileSize": 256 } }

PA Data

Inland surface water

Many surface waters and wetlands are unique and species-rich ecosystems upon which numerous plant and animal species depend, and can provide key ecosystem services such as nutrient cycling, primary production, water provisioning, water purification and recreation (Dudgeon et al. 2006; Dodds et al. 2013). Surface waters may be more at risk than other land habitat resources due to multiple pressures such as unsustainable consumption, wetland drainage, land use intensification, stream diversion and climate change, a situation that is particularly worrying in dry areas where water scarcity is already becoming a major limiting factor for wildlife and for humans (Vörösmarty et al. 2010; Carpenter et al., 2011; Dodds et al. 2013). For these reasons, the risk of extinction for freshwater species was already found to be higher than for their terrestrial counterparts (Collen et al., 2013). Here, we quantify surface water in protected areas and countries using the 2020 version of the Global Surface Water product mapped by Pekel et al. (2016). By further assessing temporal changes using the full 34-year history of Landsat data one can distinguish between permanent and seasonal water, and assess the net change of water inside areas that are currently protected.

https://rest-services.jrc.ec.europa.eu/services/d6dopa/dopa_42/get_dopa_wdpa_all_inds?format=json&wdpaid=WDPAID

{"name":"PA", "show": true, "nameLocation": "middle", "nameGap": 80, "type":"category", "data":"pa_name"}

{"name":"Net change of permanent surface water (2020 – 1984) (km2)", "nameLocation": "middle", "nameGap": 80, "type":"value", "data":"water_p_netchange_sqkm"}

{"name":"Net change (km2) of permanent surface water (2020 – 1984)", "type":"bar", "bp_count":"Net change (km2) of permanent surface water (2020 – 1984)", "data":"water_p_netchange_sqkm"}

{"name":"Net change (km2) of seasonal surface water (2020 – 1984)", "type":"bar", "bp_count":"Net change (km2) of seasonal surface water (2020 – 1984)", "data":"water_s_netchange_sqkm"}

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wdpaid

Natural Breaks (Jenks)

National Data

Inland surface water

https://rest-services.jrc.ec.europa.eu/services/d6dopa/dopa_42/get_dopa_country_all_inds?format=json&country_code=NUM

{"name":"Country ", "show": true, "nameLocation": "middle", "nameGap": 80, "type":"category", "data":"country_name"}

{"name":"water_p_netchange_sqkm", "nameLocation": "middle", "nameGap": 80, "type":"value", "data":"Net change of permanent surface water (2020 – 1984) (km2)"}

{"name":"Net change (km2) of permanent surface water (2020 – 1984)", "type":"bar", "bp_count":"Net change (km2) of permanent surface water (2020 – 1984)", "data":"water_p_netchange_sqkm"}

{"name":"Net change (km2) of seasonal surface water (2020 – 1984)", "type":"bar", "bp_count":"Net change (km2) of seasonal surface water (2020 – 1984)", "data":"water_s_netchange_sqkm"}

{"name":"Net change (km2) of protected permanent surface water (2020 – 1984)", "type":"bar", "bp_count":"Net change (km2) of protected permanent surface water (2020 – 1984)", "data":"water_p_prot_netchange_sqkm"}

{"name":"Net change (km2) of protected seasonal surface water (2020 – 1984)", "type":"bar", "bp_count":"Net change (km2) of protected seasonal surface water (2020 – 1984)", "data":"water_s_prot_netchange_sqkm"}

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un_m49

Natural Breaks (Jenks)

Topic

Habitats and Ecosystems

Land Degradation

Manager — Tue, 24 May 2022 08:39:12 +0000

Land Degradation

Manager Tue, 05/24/2022 - 04:39

Humans need increasing amounts of plant biomass for producing food, fodder, fiber and energy. Being able to meet these demands in the long term requires a sustainable use of land and vegetation resources. A persistent reduction in biomass production or land productivity will directly and indirectly impact almost all terrestrial ecosystem services and benefits that form the basis for sustainable livelihoods of all human communities. Tracking changes in land productivity is, therefore, an essential part of monitoring ecosystem changes and land transformations that are typically associated with land degradation.
The state of the Earth’s vegetation cover and its development over time is one reliable and accepted measure associated with land productivity.

Indicator unit: Area in km2 with decreasing, stable or increasing trend in land productivity from 1999 to 2013. Land productivity is calculated from satellite observations of photosynthetically active vegetation as the above-ground biomass production accumulated during the annual growing season.
Area of interest: The LPD has been calculated in DOPA for each terrestrial and coastal protected area, for their 10km unprotected buffer, as well as for countries and terrestrial ecoregions, and is provided in DOPA Explorer for all terrestrial and coastal protected areas of size ≥ 1 km2 , for countries and for terrestrial ecoregions.

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Data Uploaded by Luca Battistella using the Digital Observatory for Protected Areas Services (2022)

Response (Policies and Goals/Targets)

15.1 By 2020, ensure the conservation, restoration and sustainable use of terrestrial and inland freshwater ecosystems and their services, in particular forests, wetlands, mountains and drylands, in line with obligations under international agreements

Technical Reference/Fact Sheet

DOPA Factsheet

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Land Productivity Dynamics

{ "id": "dopa_explorer_3:LPD", "type": "raster", "source": { "type": "raster", "tiles": [ "https://geospatial.jrc.ec.europa.eu/geoserver/dopa_explorer_3/wms?bbox={bbox-epsg-3857}&service=WMS&request=GetMap&layers=dopa_explorer_3:LPD&format=image%2Fpng&transparent=true&version=1.1.1&height=256&width=256&srs=EPSG%3A3857" ], "tileSize": 256 }, "paint": {} }

https://geospatial.jrc.ec.europa.eu/geoserver/wms?REQUEST=GetLegendGraphic&VERSION=1.0.0&FORMAT=image/png&transparent=true&WIDTH=20&HEIGHT=20&STRICT=false&style=land_degradation

PA Data

Land Degradation

Land Degradation is based on the Land productivity dynamics (LPD) product is characterized by the following five qualitative classes indicating different directions and intensity of changes:

1. Persistent severe decline in productivity

2. Persistent moderate decline in productivity

3. Stable, but stressed; persistent strong inter-annual productivity variations

4. Stable productivity

5. Persistent increase in productivity

Desertic areas and water bodies, where no productivity is detected, are not classified.

LPD is a remotely-sensed global product based on vegetation phenological metrics that are related to the land’s capacity to sustain primary production. It is derived from time series of indices of vegetation photosynthetic activity, namely the Normalized Difference Vegetation Index (NDVI), obtained from satellite data acquired by the SPOT VEGETATION sensor.

https://rest-services.jrc.ec.europa.eu/services/d6dopa/dopa_42/get_dopa_wdpa_all_inds?format=json&wdpaid=WDPAID

wdpaid

WDPAID

Doughnut

{"label":"No biomass", "name":"", "data":"lpd_null_perc_tot_sqkm", "label_from_rest":"0"} {"label":"Persistent severe decline in productivity", "name":"", "data":"lpd_severe_perc_tot_sqkm", "label_from_rest":"0"} {"label":"Persistent moderate decline in productivity", "name":"", "data":"lpd_moderate_perc_tot_sqkm", "label_from_rest":"0"} {"label":"Stable, but stressed; persistent strong inter-annual productivity variations", "name":"", "data":"lpd_stable_perc_tot_sqkm", "label_from_rest":"0"} {"label":"Stable Productivity", "name":"", "data":"lpd_stable_stressed_perc_tot_sqkm", "label_from_rest":"0"} {"label":"Persistent increase in productivity", "name":"", "data":"lpd_increased_perc_tot_sqkm", "label_from_rest":"0"}

REST

wdpaid

Natural Breaks (Jenks)

National Data

Land Degradation

Land Degradation is based on the Land productivity dynamics (LPD) product is characterized by the following five qualitative classes indicating different directions and intensity of changes:

1. Persistent severe decline in productivity

2. Persistent moderate decline in productivity

3. Stable, but stressed; persistent strong inter-annual productivity variations

4. Stable productivity

5. Persistent increase in productivity

Desertic areas and water bodies, where no productivity is detected, are not classified.

https://rest-services.jrc.ec.europa.eu/services/d6dopa/dopa_42/get_dopa_country_all_inds?format=json&country_code=NUM

iso3

Doughnut

{"label":"No biomass", "name":"", "data":"lpd_null_perc_land_sqkm", "label_from_rest":"0"} {"label":"Persistent severe decline in productivity", "name":"", "data":"lpd_severe_perc_land_sqkm", "label_from_rest":"0"} {"label":"Persistent moderate decline in productivity", "name":"", "data":"lpd_moderate_perc_land_sqkm", "label_from_rest":"0"} {"label":"Stable, but stressed; persistent strong inter-annual productivity variations", "name":"", "data":"lpd_stable_stressed_perc_land_sqkm", "label_from_rest":"0"} {"label":"Stable Productivity", "name":"", "data":"lpd_stable_perc_land_sqkm", "label_from_rest":"0"} {"label":"Persistent increase in productivity", "name":"", "data":"lpd_increased_perc_land_sqkm", "label_from_rest":"0"}

REST

un_m49

Natural Breaks (Jenks)

Topic

Habitats and Ecosystems

Land Fragmentation

Manager — Tue, 24 May 2022 09:02:17 +0000

Land Fragmentation

Manager Tue, 05/24/2022 - 05:02

Indicator units: Natural (and semi-natural) land fragmentation refers to the reduction of area, the emergence of discontinuities and the isolation of natural land patches within a region of interest. Natural land spatial pattern is a relevant measure to capture changes in size, shape and structural connectivity, in particular the breaking down of large patches of natural land into smaller patches, the presence of linear features and isolated small fragments. The Natural Land Pattern Index (NLPI) assesses the spatial pattern of the natural and semi-natural lands for a given year (here, at year 2015) by reporting the area (in km2) covered by six spatial pattern classes (core, edge, linear feature, islet, core-perforation, other non-natural land) within a region of interest. The Natural Land Pattern Dynamics (NLPD) index reports the trends in the area occupied by these pattern classes in the last 20 years (1995-2015) within a region of interest. The landscape mosaic is simplified into natural/semi-natural lands, water bodies and non-natural lands. Non-natural lands such as cropland, transport infrastructure and settlements, are considered fragmenting elements.The six pattern classes are determined based on the spatial arrangement, shape and size of the land cover patches; See below (Use and Interpretation section) for a detailed description of these six classes. Fragmentation can be further resumed in one single indicator value, such as the edge to core ratio. The Natural Land Fragmentation Index (NLFI) and the Natural Land Fragmentation Dynamics (NLFD) will be included in the next update of the DOPA.

Area of interest: NLPI and NLPD are calculated in DOPA for each terrestrial and coastal protected area, as well as for countries and terrestrial ecoregions, and are provided in DOPA Explorer for all terrestrial and coastal protected areas of size ≥ 1 km2 , for countries and for terrestrial ecoregions. The spatial distribution of the six pattern classes is mapped and shown in DOPA for all natural/semi-natural land, either inside or outside protected areas.

Policy question: How can we assess the spatial integrity of natural/semi-natural ecosystems?
Where and how much are global and local pressures fragmenting natural/semi-natural lands? Pressures on the natural land, particularly
human driven pressures, are constantly increasing and it is important to monitor how they translate in changes in the spatial pattern and
fragmentation levels of natural/semi-natural ecosystems, in particular inside and around protected areas, to ensure that these ecosystems, and their associated species, their functions and services, are preserved.

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Data Uploaded by Luca Battistella using the Digital Observatory for Protected Areas Services (2022)

Response (Policies and Goals/Targets)

Technical Reference/Fact Sheet

DOPA Factsheet

Source

Source:

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off

Make Map Points

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State

natural dynamics

Pressure

Natural system modifications

Add Map Layers

Land Fragmentation

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https://geospatial.jrc.ec.europa.eu/geoserver/wms?REQUEST=GetLegendGraphic&VERSION=1.0.0&FORMAT=image/png&transparent=true&WIDTH=20&HEIGHT=20&STRICT=false&style=land_fragmentation

PA Data

Land Fragmentation

The Natural Land Pattern Index (NLPI) values and their trends (NLPD) allow evaluating the status and dynamics of fragmentation processes in terms of few key relevant spatial pattern changes in protected areas and in their buffer areas. Six landscape pattern classes have been determined, based on the land cover information of the Climate Change Initiative Land Cover (CCI-LC) map, using an edge width of 300 m (corresponding to one pixel in the CCI-LC map at the equator).

The six pattern classes, which are exemplified in Figure 1, are the following:

NATURAL LAND

Core: Area of natural/semi-natural land cover that is not adjacent to non-natural land cover, i.e. that is separated by a distance larger than the considered edge width (300 m in the equator) from non-natural land covers.
Edge: Area of natural/semi-natural land that surrounds the core areas and that is adjacent to non natural land cover.
Islet: A patch of natural/semi-natural land cover that is too small to contain any core area (all the extent of the patch is closer to nonnatural land cover than the considered edge width).
Linear feature: All other areas of non-core natural/semi-natural land that do not fall into any of the two non-core classes above. It typically corresponds to small and elongated extents of natural/semi-natural land that extend from outside the edge of a core patch, either connecting or not to another core patch.

NON NATURAL LAND

Core-perforation: Non-natural land fully enclosed by core area. It corresponds to the non-natural land found within openings of natural/semi-natural land due to anthropogenic (e.g. settlements, shifting cultivation) processes.
Other non-natural: other areas not falling in any of the previous categories: it includes non-natural areas (cropland, urban) as well as water bodies.

https://rest-services.jrc.ec.europa.eu/services/d6dopa/dopa_42/get_dopa_wdpa_all_inds?format=json&wdpaid=WDPAID

Land Fragmentation

https://geospatial.jrc.ec.europa.eu/geoserver/wms?REQUEST=GetLegendGraphic&VERSION=1.0.0&FORMAT=image/png&transparent=true&WIDTH=20&HEIGHT=20&STRICT=false&style=land_fragmentation

Pie

{"label":"Core (km2)", "name":"", "data":"mspa_core_2015_sqkm", "label_from_rest":"0"} {"label":"Non Natural (km2)", "name":"", "data":"mspa_non_natural_2015_sqkm", "label_from_rest":"0"} {"label":"Edge (km2) ", "name":"", "data":"mspa_edge_2015_sqkm", "label_from_rest":"0"} {"label":"Core Perforation (km2)", "name":"", "data":"mspa_core_perforation_2015_sqkm", "label_from_rest":"0"} {"label":"Islet (km2)", "name":"", "data":"mspa_islet_2015_sqkm", "label_from_rest":"0"} {"label":"Linear (km2)", "name":"", "data":"mspa_linear_2015_sqkm", "label_from_rest":"0"}

REST

wdpaid

Natural Breaks (Jenks)

National Data

Land Fragmentation

The six pattern classes, which are exemplified in Figure 1, are the following:

NATURAL LAND

Core: Area of natural/semi-natural land cover that is not adjacent to non-natural land cover, i.e. that is separated by a distance larger than the considered edge width (300 m in the equator) from non-natural land covers.
Edge: Area of natural/semi-natural land that surrounds the core areas and that is adjacent to non natural land cover.
Islet: A patch of natural/semi-natural land cover that is too small to contain any core area (all the extent of the patch is closer to nonnatural land cover than the considered edge width).
Linear feature: All other areas of non-core natural/semi-natural land that do not fall into any of the two non-core classes above. It typically corresponds to small and elongated extents of natural/semi-natural land that extend from outside the edge of a core patch, either connecting or not to another core patch.

NON NATURAL LAND

Core-perforation: Non-natural land fully enclosed by core area. It corresponds to the non-natural land found within openings of natural/semi-natural land due to anthropogenic (e.g. settlements, shifting cultivation) processes.
Other non-natural: other areas not falling in any of the previous categories: it includes non-natural areas (cropland, urban) as well as water bodies.

https://rest-services.jrc.ec.europa.eu/services/d6dopa/dopa_42/get_dopa_country_all_inds?format=json&country_code=NUM

iso3

Land Fragmentation

https://geospatial.jrc.ec.europa.eu/geoserver/wms?REQUEST=GetLegendGraphic&VERSION=1.0.0&FORMAT=image/png&transparent=true&WIDTH=20&HEIGHT=20&STRICT=false&style=land_fragmentation

Pie

REST

un_m49

Natural Breaks (Jenks)

Topic

Habitats and Ecosystems

Warm-Water Corals Extent

Anonymous — Mon, 02 Aug 2021 07:36:36 +0000

Warm-Water Corals Extent

Anonymous Mon, 08/02/2021 - 03:36

The dataset shows the country's extent of Warm-Water Corals for African, Caribbean and Pacific countries. The original dataset and statistics are provided by UNEP World Conservation Monitoring Centre (UNEP-WCMC).

Source:UNEP-WCMC (2021). Ocean+ Habitats [On-line], [July 2021]. Available at: habitats.oceanplus.org

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Data Uploaded by Simona Lippi using the BIOPAMA Services (2022)

Ranking

off

Make Map Points

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natural areas, landscape, ecosystems

Global Data

Warm-Water Corals Extention

Source:UNEP-WCMC (2021). Ocean+ Habitats [On-line], [July 2021]. Available at: habitats.oceanplus.org

https://api.biopama.org/api/marine_ecosystems/function/api_warm_watercoral

iso3

{"name":"Country", "show": true, "nameLocation": "middle", "nameGap": 80, "type":"category", "data":"iso3"}

{"name":"Area sqkm", "nameLocation": "middle", "nameGap": 80, "type":"value", "data":"total_area"}

{"name":"Warm-water corals extent sqkm", "type":"bar", "bp_count":"Warm-water corals extent sqkm", "data":"total_area"}

Descending

REST

Natural Breaks (Jenks)

diverging-4

National Data

Total warm-water coral extent protected per country

The dataset shows the country's extent protected of Warm-Water Corals for African, Caribbean and Pacific countries. The original dataset and statistics are provided by UNEP World Conservation Monitoring Centre (UNEP-WCMC).

Source:UNEP-WCMC (2021). Ocean+ Habitats [On-line], [July 2021]. Available at: habitats.oceanplus.org

https://api.biopama.org/api/marine_ecosystems/function/api_warm_watercoral/iso3=ISO3

iso3

{"name":"Country", "show": true, "nameLocation": "middle", "nameGap": 80, "type":"category", "data":"iso3"}

{"name":"Total warm-water coral extent protected ", "nameLocation": "middle", "nameGap": 80, "type":"value", "data":"protected_area"}

{"name":"Total warm-water coral extent protected per country ", "type":"bar", "bp_count":"Total warm-water coral extent protected per country ", "data":"protected_area"}

{"name":"Total warm-water coral extent per country ", "type":"bar", "bp_count":"Total warm-water coral extent per country ", "data":"total_area"}

Descending

REST

Natural Breaks (Jenks)

diverging-4

Topic

Habitats and Ecosystems