1 00:00:00,000 --> 00:00:04,000 [music] 2 00:00:04,000 --> 00:00:08,000 [music] 3 00:00:08,000 --> 00:00:12,000 Davidson: Animals migrated all over the world, and if we want to 4 00:00:12,000 --> 00:00:16,000 be able to look at those global migrations, and if 5 00:00:16,000 --> 00:00:20,000 we also want to be able to network and compare data 6 00:00:20,000 --> 00:00:24,000 about animal movements and behaviors in different regions, different species 7 00:00:24,000 --> 00:00:28,000 in different parts of the world, and over long periods of time, we really need a global 8 00:00:28,000 --> 00:00:32,000 database for that. So one tool we offer in 9 00:00:32,000 --> 00:00:36,000 MoveBank is called the Environmental Data Automated Track 10 00:00:36,000 --> 00:00:40,000 Annotation System, which we—or for short, EnvDATA, 11 00:00:40,000 --> 00:00:44,000 and this is a free service that lets researchers and the public link 12 00:00:44,000 --> 00:00:48,000 animal movement data to environmental information from 13 00:00:48,000 --> 00:00:52,000 remote sensing products and weather models from NASA and other 14 00:00:52,000 --> 00:00:56,000 providers, including the GPM precipitation data. 15 00:00:56,000 --> 00:01:00,000 And so by connecting these data sources, 16 00:01:00,000 --> 00:01:04,000 we make it much easier for researchers to investigate questions 17 00:01:04,000 --> 00:01:08,000 about how animals’ movements and migrations are affected 18 00:01:08,000 --> 00:01:12,000 by the environment around them. Part of 19 00:01:12,000 --> 00:01:16,000 climate change is a phenomenon called polar amplification, which means 20 00:01:16,000 --> 00:01:20,000 the rate of warming is going to occur more quickly at the 21 00:01:20,000 --> 00:01:24,000 poles, at the North Pole and the South Pole. So, in the Arctic, we’re seeing 22 00:01:24,000 --> 00:01:28,000 warming rates more than twice as high as the global 23 00:01:28,000 --> 00:01:32,000 average. So this is causing really dramatic changes in what animals experience. 24 00:01:32,000 --> 00:01:36,000 In this recent project, led by 25 00:01:36,000 --> 00:01:40,000 Dr. Peter Mahoney at the University of Washington, we looked at how 26 00:01:40,000 --> 00:01:44,000 movement speeds of different animal species change with precipitation 27 00:01:44,000 --> 00:01:48,000 and temperature. And so we looked at data from more than 28 00:01:48,000 --> 00:01:52,000 1700 animals, and we found that movement speeds of wolves, 29 00:01:52,000 --> 00:01:56,000 caribou, bears and moose did not seem to be affected by heavy summer 30 00:01:56,000 --> 00:02:00,000 rains, but that wolves, moose and boreal caribou 31 00:02:00,000 --> 00:02:04,000 moved less where there was higher snowfall in the winter. 32 00:02:04,000 --> 00:02:08,000 We also found that at higher temperatures, some species moved 33 00:02:08,000 --> 00:02:12,000 less while others were moving more, which could impact predator-prey 34 00:02:12,000 --> 00:02:16,000 relationships and the ability to find food as global temperatures continue to 35 00:02:16,000 --> 00:02:20,000 increase and as precipitation patterns change. 36 00:02:20,000 --> 00:02:24,000 We link almost entirely to globally available datasets. 37 00:02:24,000 --> 00:02:28,000 The same methods can be used anywhere in the world. 38 00:02:28,000 --> 00:02:32,000 This means that researchers can make assessments across migratory routes 39 00:02:32,000 --> 00:02:36,000 of species traveling really long distances, make comparisons across 40 00:02:36,000 --> 00:02:40,000 regions and species. And this also makes it easier for researchers in different countries 41 00:02:40,000 --> 00:02:46,784 to work together. [music]