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opencc-by-4.0Jun 2016View details →

Biodiversity Hotspots Map (English labels)

This map displays the global <a href="https://zenodo.org/record/3261807#.X8_HgNhKg2x">Biodiversity Hotspots 2016.1 dataset</a>. The colors assigned to the hotspots are only used to distinguish adjacent hotspots and have no other meaning. The biodiversity hotspots represent terrestrial biodiversity only. The offshore lines are a cartographic device to group and highlight islands that are part of the same hotspots (e.g. Polynesia-Micronesia, Indo-Burma). The background image is from Natural Earth. This map is labelled with hotspot names in English; a version without text is also available: 10.5281/zenodo.4311831.  There are currently <a href="https://www.cepf.net/node/1996">36 recognized biodiversity hotspots</a>. These are Earth’s most biologically rich—yet threatened—terrestrial regions. To qualify as a biodiversity hotspot, an area must meet two strict criteria: <ul> <li>Contain at least 1,500 species of vascular plants found nowhere else on Earth (known as "endemic" species).</li> <li>Have lost at least 70 percent of its primary native vegetation.</li> </ul> Many of the biodiversity hotspots exceed the two criteria. For example, both the Sundaland Hotspot in Southeast Asia and the Tropical Andes Hotspot in South America have about 15,000 endemic plant species. The loss of vegetation in some hotspots has reached a startling 95 percent.

Figure 5 in Vulnerability to snakebite envenoming: a global mapping of hotspots

Figure 5: Hotspots of vulnerable populations to medically important venomous snake species Hotspots are defined as people living in areas within the range of one or more medically important venomous snake species,and more than 3 h away from major urban centreswith Healthcare Access and Quality Index deciles of 1–3. (A) Pixel-level vulnerability surface (ie,vulnerability to all species of medically important snakes).(B) Aggregated second administrative level vulnerability to all species of medically important venomous snakes,as measured by the absolute number of people.(C) Aggregated second administrative level vulnerability to only those species for which no effective therapy is currently listed by WHO,as measured by the absolute number of people.

Figure 3 in Vulnerability to snakebite envenoming: a global mapping of hotspots

Figure 3: Average traveltime to nearest major city for populations living within snake ranges The light grey areas represent locations withoutthe presence of medically important venomous snake species.

Figure 4 in Vulnerability to snakebite envenoming: a global mapping of hotspots

Figure 4: Proportion of populations living within range of snake species by each HAQ Index decile (A) Populations living within the range of one or more medically important venomous snake species (either category one or two).(B) Populations living within the range of one or more medically important venomous snake species (either category one or two),for which no effective therapy is listed.HAQ=Healthcare Access and Quality.

Figure2 in Vulnerability to snakebite envenoming: a global mapping of hotspots

Figure2: Ranges of venomous snake species and number of medically important venomous snake species per 5 × 5 km location for which no effective therapy is currently listed byWHO (A)Counts range from low (n=1) to high (n=13).The light grey areas represent locations where no medically important venomous snake species are present.(B) Counts range from low (n=1) to high (n=7).The light grey areas represent locations where snake species present have effective therapies listed by WHO,and the dark grey areas represent locations where no medically important venomous snake species are present.

Figure 1 in Vulnerability to snakebite envenoming: a global mapping of hotspots

Figure 1: Conceptual overview of vulnerability to snakebite envenoming (A) Vulnerability can be considered as the intersection of populations who live within the range of venomous snakes that have no antivenoms available, cannot easily access health care,and have poor quality health care in delivery of antivenoms or ensuring necessary stocks.The intersection of all three defines the most vulnerable populations.(B)These factors vary in space.By overlaying these features,the most vulnerable populations can be identified spatially (represented here by the boxes outlined in black).

opencc-by-4.0Jul 2021View details →

Fragment Hotspot Mapping to Identify Selectivity-Determining Regions between Related Proteins - Case Studies

Dataset and scripts accompanying the publication "Fragment Hotspot Mapping to Identify Selectivity-Determining Regions between Related Proteins"

opencc-zeroDec 2017View details →

Data from: Mapping phosphorus hotspots in Sydney's organic wastes: a spatially-explicit inventory to facilitate urban phosphorus recycling

Phosphorus is an essential element for food production whose main global sources are becoming scarce and expensive. Furthermore, losses of phosphorus throughout the food production chain can also cause serious aquatic pollution. Recycling urban organic waste resources high in phosphorus could simultaneously address scarcity concerns for agricultural producers who reply on phosphorus fertilisers, and waste managers seeking to divert waste from landfills to decrease environmental burdens. Recycling phosphorus back to agricultural lands however requires careful logistical planning to maximize benefits and minimize costs including, processing and transportation. The first step towards such analyses is quantifying recycling potential in a spatially-explicit way. Here we present such inventories and scenarios for the Greater Sydney Basin's recyclable phosphorus supply and agricultural demand. In 2011, there was fifteen times more phosphorus available in organic waste than agricultural demand for phosphorus in Sydney. Hypothetically, if future city residents shifted to a plant-based diet, eliminated edible food waste, and removed animal production in the Greater Sydney Basin, available phosphorus supply would decrease to 7.25 kt of phosphorus per year, even when accounting for population growth by 2031, and demand would also decrease to 0.40 kt of phosphorus per year. Creating a circular phosphorus economy for Sydney, in all scenarios considered, would require effective recycling strategies which include transport outside of the Greater Sydney Basin. These spatially explicit scenarios can be used as a tool to facilitate stakeholders engagement to identify opportunities and barriers for appropriate organic waste recycling strategies.

opencc-zeroDec 2014View details →

Data from: Identification of multiple QTL hotspots in sockeye salmon (Oncorhynchus nerka) using genotyping-by-sequencing and a dense linkage map

Understanding the genetic architecture of phenotypic traits can provide important information about the mechanisms and genomic regions involved in local adaptation and speciation. Here, we used genotyping-by-sequencing and a combination of previously published and newly generated data to construct sex-specific linkage maps for sockeye salmon (Oncorhynchus nerka). We then used the denser female linkage map to conduct quantitative trait locus (QTL) analysis for 4 phenotypic traits in 3 families. The female linkage map consisted of 6322 loci distributed across 29 linkage groups and was 4082 cM long, and the male map contained 2179 loci found on 28 linkage groups and was 2291 cM long. We found 26 QTL: 6 for thermotolerance, 5 for length, 9 for weight, and 6 for condition factor. QTL were distributed nonrandomly across the genome and were often found in hotspots containing multiple QTL for a variety of phenotypic traits. These hotspots may represent adaptively important regions and are excellent candidates for future research. Comparing our results with studies in other salmonids revealed several regions with overlapping QTL for the same phenotypic trait, indicating these regions may be adaptively important across multiple species. Altogether, our study demonstrates the utility of genomic data for investigating the genetic basis of important phenotypic traits. Additionally, the linkage map created here will enable future research on the genetic basis of phenotypic traits in salmon.

publicAug 2020View details →

Data from: Mapping phosphorus hotspots in Sydney’s organic wastes: a spatially-explicit inventory to facilitate urban phosphorus recycling

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