WEBVTT FILE 1 00:00:00.020 --> 00:00:04.180 2 00:00:04.200 --> 00:00:08.360 [ music ] 3 00:00:08.380 --> 00:00:12.500 4 00:00:12.520 --> 00:00:16.590 5 00:00:16.610 --> 00:00:20.630 Will climate change drastically reduce our food production, or will it change what we produce? 6 00:00:20.650 --> 00:00:24.810 So, to answer this quesiton you have to think about it 7 00:00:24.830 --> 00:00:28.990 in two parts. We have climate change, and food production. 8 00:00:29.010 --> 00:00:33.170 We know that climate change is likely to affect temperature and precipitation 9 00:00:33.190 --> 00:00:37.290 over the coming decades. And when we think about how 10 00:00:37.310 --> 00:00:41.360 those changes will affect agriculture, we are pretty sure that 11 00:00:41.380 --> 00:00:45.380 an increase in temperature and changing precipitation patterns 12 00:00:45.400 --> 00:00:48.170 will affect the way farmers make a living. 13 00:00:48.190 --> 00:00:53.750 But farmers don't decide what to plant depending on what the weather is. 14 00:00:53.770 --> 00:00:57.910 They look at what will get them the best price, 15 00:00:57.930 --> 00:01:02.040 what will make them the most amount of money, what is feasible, 16 00:01:02.060 --> 00:01:06.100 and the kind of investments they've already made in previous years. 17 00:01:06.120 --> 00:01:10.140 So that's the kind of broad-scale macro-economic drivers that we can't really anticipate 18 00:01:10.160 --> 00:01:12.320 when we're looking at climate change. 19 00:01:12.340 --> 00:01:17.490 When I do research what I'm interested in doing is taking the last thirty years that we have 20 00:01:17.510 --> 00:01:22.590 satellite observations here at NASA and then connecting those trends 21 00:01:22.610 --> 00:01:26.700 to what has happened with agriculture 22 00:01:26.720 --> 00:01:30.730 and with populations and what people are eating and the economics 23 00:01:30.750 --> 00:01:34.900 and food prices. Because if we can make connections with what we've seen 24 00:01:34.920 --> 00:01:39.080 happen with the climate, climate variability, over the last thirty years, 25 00:01:39.100 --> 00:01:43.250 and try to connect that to the economic conditions 26 00:01:43.270 --> 00:01:47.380 and to what people are eating, then we can have a better basis for projecting into the future. 27 00:01:47.400 --> 00:01:51.430 28 00:01:51.450 --> 00:01:53.994