{"id":113579,"date":"2020-11-16T23:00:04","date_gmt":"2020-11-16T20:00:04","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/scientists-map-and-forecast-apex-predator-populations-at-unprecedented-scale\/"},"modified":"2020-11-16T23:00:04","modified_gmt":"2020-11-16T20:00:04","slug":"scientists-map-and-forecast-apex-predator-populations-at-unprecedented-scale","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/scientists-map-and-forecast-apex-predator-populations-at-unprecedented-scale\/","title":{"rendered":"#Scientists map and forecast apex predator populations at unprecedented scale"},"content":{"rendered":"

“#Scientists map and forecast apex predator populations at unprecedented scale<\/strong>”<\/p>\n

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\"Scientists
\n Brown bear with cubs. Credit: Staffan Widstrand Photography
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Researchers at the Norwegian University of Life Science<\/a>s (NMBU), together with national and international collaborators, have developed statistical methods that allows mapp<\/a>ing and forecasting of wildlife populations across borders.<\/p>\n

With this information, researchers can now track the detailed dynamics of entire populations across unprecedented spatial scales, without being limited to small and localized parts of populations.<\/p>\n

Population size and distribution <\/b><\/p>\n

A vital part of wildlife management is knowledge about the population dynamics and distribution of wild species. Large carnivores are one of the most controversial topics in wildlife management. A landscape-level approach to wildlife monitoring, that tracks and forecasts wildlife populations across political jurisdictions, can help humans better manage and coexist with apex predators.<\/p>\n

Richard Bischof (NMBU) and colleagues asked if wildlife population dynamics could be monitored and forecast through space and time like the weather, at unprecedented spatial scales that are relevant to conservation and management.<\/p>\n

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\n Annual maps of brown bear population density in Scandinavia from 2012 to 2018. Credit: Staffan Widstrand Photography.
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Noninvasive and largescale monitoring <\/b><\/p>\n

“The way we tend to study populations is a bit like looking at an elephant through a microscope,” says Bischof. “We can understand fine details but find it difficult to make out the entire shape.”<\/p>\n

Modern survey methods like genetic sampling allow ecologists to monitor wildlife effectively, without having to capture and handle animals. Sources of genetic material left behind by animals, such as feces, urine, and hair, allow identification of species and individuals. Armed with this information, researchers can now track the detailed dynamics of entire populations across large spatial expanses, instead of being limited to a small and localized parts of populations.<\/p>\n

From scats to maps <\/b><\/p>\n

During the past two decades, Swedish and Norwegian authorities, with substantial help from volunteer citizen scientists, have amassed tens of thousands of DNA samples of brown bears, gray wolves, and wolverines across Scandinavia.<\/p>\n

Using these data and advanced analytical models, the team lead by Bischof was able, for the first time, to produce detailed maps of the population density of the three species across their range in Scandinavia. These maps give a new perspective on wildlife populations as surfaces that change over time. The results also take into account imperfect detection.<\/p>\n

“Wildlife surveys rarely detect every individual.” says Bischof. “So, to estimate population size, we cannot simply count the number of animals for which DNA is found. Our models correct for this.”<\/p>\n

“The analysis involving thousands of DNA samples across such a huge spatial extent required substantial development in computing. Advances made during the project will now help others facing the challenges of large-scale ecological analysis,” concludes Perry de Valpine at the University of California Berkeley, a collaborator and co-author of the study.<\/p>\n\n

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Redefining life expectancy and maximum lifespan for wildlife management\n <\/p><\/div>\n

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\n More information:<\/strong>
\n Richard Bischof el al., Estimating and forecasting spatial population dynamics of apex predators using transnational genetic monitoring. PNAS<\/i> (2020). DOI: 10.1073\/pnas.2011383117<\/a>
\nwww.pnas.org\/cgi\/doi\/10.1073\/pnas.2011383117<\/a><\/p><\/div>\n

Provided by
\n Norwegian University of Life Sciences<\/p>\n

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Citation<\/strong>:
\n Scientists map and forecast apex predator populations at unprecedented scale (2020, November 16)
\n retrieved 17 November 2020
\n from https:\/\/phys.org\/news<\/a>\/2020-11-scientists-apex-predator-populations-unprecedented.html<\/p>\n

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\n part may be reproduced without the written permission. The content is provided for information purposes only.<\/p><\/div>\n<\/p><\/div>\n