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Fire Threat is a combination of two factors: 1) fire frequency, or the likelihood of a given area burning, and 2) potential fire behavior (hazard). These two factors are combined to create 4 threat classes ranging from moderate to extreme.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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In 2012, the CPUC ordered the development of a statewide map that is designed specifically for the purpose of identifying areas where there is an increased risk for utility associated wildfires. The development of the CPUC -sponsored fire-threat map, herein "CPUC Fire-Threat Map," started in R.08-11-005 and continued in R.15-05-006. A multistep process was used to develop the statewide CPUC Fire-Threat Map. The first step was to develop Fire Map 1 (FM 1), an agnostic map which depicts areas of California where there is an elevated hazard for the ignition and rapid spread of powerline fires due to strong winds, abundant dry vegetation, and other environmental conditions. These are the environmental conditions associated with the catastrophic powerline fires that burned 334 square miles of Southern California in October 2007. FM 1 was developed by CAL FIRE and adopted by the CPUC in Decision 16-05-036.FM 1 served as the foundation for the development of the final CPUC Fire-Threat Map. The CPUC Fire-Threat Map delineates, in part, the boundaries of a new High Fire-Threat District (HFTD) where utility infrastructure and operations will be subject to stricter fire‑safety regulations. Importantly, the CPUC Fire-Threat Map (1) incorporates the fire hazards associated with historical powerline wildfires besides the October 2007 fires in Southern California (e.g., the Butte Fire that burned 71,000 acres in Amador and Calaveras Counties in September 2015), and (2) ranks fire-threat areas based on the risks that utility-associated wildfires pose to people and property. Primary responsibility for the development of the CPUC Fire-Threat Map was delegated to a group of utility mapping experts known as the Peer Development Panel (PDP), with oversight from a team of independent experts known as the Independent Review Team (IRT). The members of the IRT were selected by CAL FIRE and CAL FIRE served as the Chair of the IRT. The development of CPUC Fire-Threat Map includes input from many stakeholders, including investor-owned and publicly owned electric utilities, communications infrastructure providers, public interest groups, and local public safety agencies. The PDP served a draft statewide CPUC Fire-Threat Map on July 31, 2017, which was subsequently reviewed by the IRT. On October 2 and October 5, 2017, the PDP filed an Initial CPUC Fire-Threat Map that reflected the results of the IRT's review through September 25, 2017. The final IRT-approved CPUC Fire-Threat Map was filed on November 17, 2017. On November 21, 2017, SED filed on behalf of the IRT a summary report detailing the production of the CPUC Fire-Threat Map(referenced at the time as Fire Map 2). Interested parties were provided opportunity to submit alternate maps, written comments on the IRT-approved map and alternate maps (if any), and motions for Evidentiary Hearings. No motions for Evidentiary Hearings or alternate map proposals were received. As such, on January 19, 2018 the CPUC adopted, via Safety and Enforcement Division's (SED) disposition of a Tier 1 Advice Letter, the final CPUC Fire-Threat Map.Additional information can be found here.
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The ongoing expansion of the global road network and the associated growth in traffic intensity represent a threat for many vertebrate species. With 25 million kilometres of new roads expected by 2050, largely in developing countries with exceptional biological diversity, we urgently need to understand how roadkill (mortality from collisions with vehicles) impacts wildlife. Here we present a new framework combining a global dataset of observed roadkill rates, life-history data, and geographic distribution maps to identify which terrestrial mammal species worldwide may be at risk of extinction from roadkill and the world regions where these vulnerable species occur. We compiled a total of 1310 roadkill rate records of 392 different mammalian species from 177 references. We found that populations of four species may be at risk of extinction if observed roadkill levels persist on the roads around the studied areas: maned wolf Chrysocyon brachyurus, little spotted cat Leopardus tigrinus (both in Brazil), brown hyena Hyaena brunnea (Southern Africa) and leopard Panthera pardus (North India). The global assessment for 4,664 mammals revealed that roads can pose a threat to both common, non-threatened species, as well as to mammals already threatened by other human activities. Species vulnerable to roadkill and higher road densities coincide in South Africa, Ghana, central and Southeast Asia, parts of the Malay Archipelago and the Andean regions. Worryingly, these are areas with high biodiversity and likely to see road expansion in the future. Our study emphasizes the need to extend research beyond roadkill counts to evaluate the long-term consequences of this added mortality. The proposed framework offers a tool to identify species for which road mortality can increase risk of extinction and thus, can be useful to prioritize conservation and mitigation efforts.
Täydennykset puuttuvista tunturikoivulehdoista, lapinvuokkokankaista, tunturiniityistä sekä kalkki-, serpentiini- ja kiisukallioista voi lähettää kuvauksineen tulevaa uhanalaisuusarviointia varten osoitteeseen luontotyyppienuhanalaisuus@syke.fi. Aineiston on tuottanut Metsähallitus. Aineistoa voi käyttää uhanalaisuusarvioinnin lisäksi erilaissa selvityksissä ja ympäristöhallinnon tehtävien tukena. Aineisto kuuluu SYKEn avoimiin aineistoihin (CC BY 4.0) RLE Finland 2018 Fell habitats in the assessment of threatened habitat types, occurrences The dataset was used in the threat assessments of Finnish habitat types 2018. The collected dataset includes 150 habitat types and is divided into different files according to the main divisions of the habitat types. This data contains the occurrences of the fell habitats. The data was produced by Metsähallitus and processed in Syke. This dataset contains all known occurrences of fell habitat types. The data consists of polygon and point datasets. The polygons come from SAKTI Protected area compartment information system in Metsähallitus. The point dataset complements the polygons for habitat types which are not included in the SAKTI data. The polygon and point datasets have been the main source for the published 10 km x 10 km grid maps on fell habitat types. The dataset is missing the coarse observational data based on expert knowledge on fell habitat types included in the grid maps, as the observational data do not have accurate location. The full classification of habitat types can be found on a separate excel file: https://geoportal.ymparisto.fi/meta/julkinen/dokumentit/habitat_type_list.xls More information on habitat type threat assessment http://urn.fi/URN:ISBN:978-952-11-5110-1 This dataset was produced by Metsähallitus. In addition to threat status assessment this dataset can be used for research and to support the tasks of the environmental administration.
Lisätietoja Suomen luontotyyppien uhanalaisuusarviosta https://luontotyyppienuhanalaisuus.ymparisto.fi/lutu/#/ https://helda.helsinki.fi/items/3cb6905b-0e6e-40e2-9499-e7e4a91ed1a2 https://helda.helsinki.fi/items/10514c25-bd64-429c-a057-63bf37f3e709 Aineistoa voi käyttää uhanalaisuusarvioinnin lisäksi erilaissa selvityksissä ja ympäristöhallinnon tehtävien tukena. Aineisto kuuluu SYKEn avoimiin aineistoihin (CC BY 4.0) RLE Finland 2018 Baltic Sea habitats in the assessment of threatened habitat types, occurrences The dataset was used in the threat assessments of Finnish habitat types 2018. The collected dataset includes 150 habitat types and is divided into different files according to the main divisions of the habitat types. This data contains the occurrences of the Baltic Sea habitats. The data was mainly produced by Metsähallitus and processed in Syke. Benthic habitats: The dataset contains occurrences of 13 benthic habitat types characterized by algae, vascular plants, or aquatic moss and 4 benthic habitat types characterized by invertebrates. Pelagic habitats: The dataset contains occurrences of the 3 marine pelagic habitat types in Finland. Sea ice: The dataset contains the probability classification of 90% and 50% for the occurrence of sea ice in the Baltic Sea (Finland’s marine area including the exclusive economic zone). Coastal estuaries: The dataset contains occurrences of coastal (Baltic Sea) estuaries, where discharge is 1 m3/s or greater. The full classification of habitat types can be found on a separate excel file: https://geoportal.ymparisto.fi/meta/julkinen/dokumentit/habitat_type_list.xls More information on habitat type threat assessment http://urn.fi/URN:ISBN:978-952-11-5110-1 In addition to threat status assessment this dataset can be used for research and to support the tasks of the environmental administration.? This dataset of Syke can be used according to open data license (CC BY 4.0)
LuTU2018 Kallioiden ja kivikoiden luontotyyppien esiintymäaineistot uhanalaisuusarvioinnissa Luontotyyppien uhanalaisuusarviointia (LuTU) 2018 varten koottiin esiintymäaineistoja yhteensä yli 150 luontotyypistä tai luontotyyppiyhdistelmästä. Aineisto on jaettu tiedostoihin luontotyyppien pääryhmien mukaan. Kallioiden ja kivikoiden luontotyyppien esiintymiä on tässä aineistossa seuraavista alaryhmistä ja tyypeistä: Karut kalliotierasammalkalliot: karujen kalliotierasammalkallioiden mallinnetut ja tunnetut esiintymät (sekä polygoni- että pisteaineisto). Kalliojyrkänteet: 10 karun tai keskiravinteisen kalliojyrkännetyypin mallinnetut esiintymät. Sisältää sekä rantakalliotyyppien jyrkänne-esiintymät että muut karut ja keskiravinteiset jyrkänteet (viiva-aineistoja). Loivat rantakalliot: kuuden karun ja keskiravinteisen loivan rantakallion mallinnetut esiintymät (polygoniaineistoja). Luokitukset tarkemmin erillisessä liitedokumentissa https://geoportal.ymparisto.fi/meta/julkinen/dokumentit/KallioidenJaKivikoidenLuontotyyppienEsiintymäaineistotUhanalaisuusarvioinnissa2018.pdf Lisätietoja Suomen luontotyyppien uhanalaisuusarviosta https://luontotyyppienuhanalaisuus.ymparisto.fi/lutu/#/ https://helda.helsinki.fi/items/3cb6905b-0e6e-40e2-9499-e7e4a91ed1a2 https://helda.helsinki.fi/items/10514c25-bd64-429c-a057-63bf37f3e709 Täydennykset puuttuvista, etenkin kasvillisuudeltaan edustavista keskiravinteisista kalliojyrkänteistä voi lähettää kuvauksineen tulevaa uhanalaisuusarviointia varten osoitteeseen luontotyyppienuhanalaisuus@syke.fi. Aineistoa voi käyttää uhanalaisuusarvioinnin lisäksi erilaissa selvityksissä ja ympäristöhallinnon tehtävien tukena. Aineisto kuuluu SYKEn avoimiin aineistoihin (CC BY 4.0) RLE Finland 2018 Rock outcrops and scree shore habitats in the assessment of threatened habitat types, occurrences The dataset was used in the threat assessments of Finnish habitat types 2018. The collected dataset is divided into different files according to the main divisions of habitat types. This data contains the occurrences of rock and scree habitat types for the following groups:. Acidic rock outcrops with Racomitrium lanuginosum: The dataset contains modelled and known occurrences of outcrops (both polygon and point data). Acidic rock faces: The dataset contains modelled occurrences of 10 rock face types, both acidic and intermediate-basic (line data). Contains both rock faces on shores and elsewhere. Flat rock outcrops on shores: The dataset contains modelled occurrences of 6 rock outcrop types on shores both acidic and intermediate-basic outcrops (polygon data). The full classification of habitat types can be found on a separate excel file: https://geoportal.ymparisto.fi/meta/julkinen/dokumentit/habitat_type_list.xls More information on habitat type threat assessment http://urn.fi/URN:ISBN:978-952-11-5110-1 In addition to threat status assessment this dataset can be used for research and to support the tasks of the environmental administration. This dataset of Syke can be used according to open data license (CC BY 4.0)
identifier:oai:t2r2.star.titech.ac.jp:50524227
Dangerous Dog Orders issued to dogs by the City of Toronto that are currently active will be listed here. A Dangerous Dog Order is issued when it is confirmed that a dangerous act (Any bite, attack, act of menacing behaviour or any combination of a bite, attack or act of menacing behaviour.) has occurred and the act is deemed severe or is the second consecutive act on record. This data set is updated monthly. For more information about Dangerous Dog Orders, please visit toronto.ca/dangerousdogs For more information on the council motion associated with this data, please see Agenda Item History 2024.EC10.2 for the motion related to this dataset. To ensure public awareness of where dangerous dog orders have been served and to protect the health and safety of residents, beginning May 2025, postal codes have been added to this dataset for all severe and very severe bites. For more information on this decision, please see Agenda Item 2025.EC19.5. For more information on Dangerous Dog Review Tribunal, please see https://secure.toronto.ca/council/#/committees/2642/24710
Täydennykset puuttuvista ja muuttuneista kohteista voi lähettää tulevaa uhanalaisuusarviointia varten osoitteeseen luontotyyppienuhanalaisuus@syke.fi. Aineistoa voi käyttää uhanalaisuusarvioinnin lisäksi erilaissa selvityksissä ja ympäristöhallinnon tehtävien tukena. Aineisto kuuluu SYKEn avoimiin aineistoihin (CC BY 4.0) RLE Finland 2018 Inland water habitats in the assessment of threatened habitat types, occurrences The dataset was used in the threat assessments of Finnish habitat types 2018. The collected dataset includes 150 habitat types and is divided into different files according to the main divisions of the habitat types. This data contains the occurrences of the inland water habitats. Lakes: The dataset contains occurrences of 13 lake habitat types. To distinguish lakes from ponds, a threshold value of 10 hectares has been employed. Nevertheless, it's important to note that not all bodies of standing water with an area exceeding 10 hectares have been included in this dataset. As a result, the lake dataset remains incomplete, particularly in regard to smaller bodies of standing water. Springs: The dataset contains occurrences excluding eutrophic springs. The dataset is incomplete particularly in Northern Finland. The dataset may also include springs that have already been destroyed. Streams and rivers: The dataset contains occurrences of 10 stream and river habitat types. The dataset is incomplete particularly in smaller stream and river habitat types. Sand and stone lake shores: The dataset contains occurrences of 4 sand and stone lake shore types. The full classification of habitat types can be found on a separate excel file: https://geoportal.ymparisto.fi/meta/julkinen/dokumentit/habitat_type_list.xls More information on habitat type threat assessment http://urn.fi/URN:ISBN:978-952-11-5110-1 In addition to threat status assessment this dataset can be used for research and to support the tasks of the environmental administration.
MIT Licensehttps://opensource.org/licenses/MIT
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Petrels are among the most threatened group of birds. On top of facing predation by introduced mammals and incidental bycatch, these seabirds have to deal with an emerging threat, light pollution, which is increasing globally. Fledglings are disoriented and attracted to artificial lights in their maiden night flights from their nests to the sea. Once grounded, they are exposed to multiple threats leading to high mortality. We report on numbers of three petrel species (Balearic shearwater Puffinus mauretanicus, Scopoli’s shearwater Calonectris diomedea, and European storm-petrel Hydrobates pelagicus) rescued on the Balearic Islands, Mediterranean Sea, in the period 1999–2013. We assessed the proportion of grounded fledglings in the population and colonies impact based on radiance levels measured from a nocturnal satellite image. We also calculated the radius of light pollution impact. At least 304 fledgling birds were found stranded due to attraction to artificial lights, fatally affecting 8.5 % of them. The proportion of grounded fledglings ranged between 0.13 and 0.56 % of the fledglings produced annually. The body mass of Balearic and Scopoli’s shearwater fledglings decreased with rescue date. Light-induced mortality increased during the fledging period for Scopoli’s shearwaters. Birds were rescued at a mean distance of 4833 m from the nearest colony, and between 30 and 47 % of colonies were exposed to light-polluted areas. Although impact seems to be low for all species, urban development and, consequently, the increase in light pollution in the proximity of the colonies should be taken into account to reduce as much as possible this emerging source of mortality. Palabras clave: Bird, Pollution
The Santa Ana Wildfire Threat Index (SAWTI) categorizes Santa Ana winds based on anticipated fire potential. The index uses a comprehensive, state-of-the-art predictive model that includes dead fuel moisture, live fuel moisture, and the greenness of annual grasses to create a detailed daily assessment of the fuel conditions across Southern California. This information is coupled with calibrated weather model output (comprised of wind speed and atmospheric moisture), to generate a 6-day forecast of Large Fire Potential. The Large Fire Potential output is then compared to climatological data and historical fire occurrence to establish the index rating. This product is produced by the USDA Forest Service and Predictive Services.
Projet INTER'RED: Equipes spécialisées - Menace terroriste
Sources des données: Partenaires du projet INTERREG V A INTER'RED
MIT Licensehttps://opensource.org/licenses/MIT
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A living on the roadside involves serious risks including restrictions to movements, disturbance of resting and feeding places, and roadkill menace. However, when crossing highly human modified areas such as simplified intensive agricultural landscapes or highly grazed areas, remnant natural habitats associated to roads (verges, roundabouts, bypasses, etc.) may be the only leftover natural areas acting as a last refuge for rare plants and small fauna. In these circumstances, there may be a positive contribution of roads and associated vegetated areas for biodiversity conservation may be considered. In Europe, remnants of natural habits on roadsidesmay be particularly relevant for the implementation of the “European Green Infrastructure” (EGI) , defined as “… an interconnected network of green spaces in urban and infrastructure dominated environments that preserves the natural value and functions of the ecosystems and provide humans with the benefits associated with them”.However, to enhancethe role of road vegetated marginal areas in the EGI there is still a long way to go and many fundamental questions need to be more deeply addressed:i) are road verges refuges or ecological traps for fauna?; (ii) what species traits makes them more suited to persist in road natural habitats remnants?; (iii) what is the relevance of verges as corridors?; (v) what surrounding landscape features are key to define the ecological role of road natural habitats remnants? What are the effects of roads on demographicparameters of populations living on the roadside? We have accessed the role of verges as providing foraging opportunities for bats, refuges and corridors for small mammals, and ecological traps for small mammal predators. We found that when roads cross lower suitable habitat, roads verges canbe an important last remnant feeding habitat for bats.In highly grazed areas we have shown that verges are a critical refuge for small mammals, as important as riparian galleries, considered one of the most relevant habitats for fauna in the Mediterranean landscape. Using graph-theory-based connectivity metrics we demonstrated that verges contributed significantly more to the overall landscape connectivity than surrounding areas. This shows the high importance of verges as small mammal corridors, even in well preserved landscapes. We also show a strong positive association between locations of snakes, owls and mammal carnivores road casualties and the abundance on verges of wood mice and rabbits, the two main prey in the studied area. These results support the hypothesis that prey abundance on road verges may be a major driver explaining predator roadkills. In Portugal, road verges and other road remnants of natural habitats are estimated to cover more than 140 thousand hectares, an area larger than any terrestrial protected area in the country. Similar or larger areas of remnant habitats along roads occur in many other countries. Thus, gathering further knowledge aiming to quantify and identify their role in biodiversity conservation is key to properly offset road impacts on wildlife.
Dispositifs gérés par l'EPTB Seine Grands Lacs permettant d'alerter la population en cas de menace de rupture de barrage
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CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Fire Threat is a combination of two factors: 1) fire frequency, or the likelihood of a given area burning, and 2) potential fire behavior (hazard). These two factors are combined to create 4 threat classes ranging from moderate to extreme.