{"id":268,"date":"2019-10-10T14:47:58","date_gmt":"2019-10-10T21:47:58","guid":{"rendered":"https:\/\/blogs.ubc.ca\/envr448a\/?page_id=268"},"modified":"2019-10-16T22:16:28","modified_gmt":"2019-10-17T05:16:28","slug":"land","status":"publish","type":"page","link":"https:\/\/blogs.ubc.ca\/envr448a\/blog-week-4\/land\/","title":{"rendered":"Land"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">The task this week was to observe environmental datasets that may have more than one \u2018signal\u2019 present contributing to the distribution of data and think about why this may be happening.\u00a0<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">Life is complex, therefore environmental data is commonly represented by multiple signals\u00a0<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">For this week, the \u2018Land\u2019 group looked into:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">1. Agricultural; The percentage of land used for agricultural practices (arable and livestock) for different countries on a global distribution. It was interesting to see that for a country with a large area, such as Canada, the percent of agricultural uses was minimal in comparison. This is most likely due to the influence of external factors such as: most of the land being covered in ice\/snow for the majority of the year, thus being unable to produce crops or grazing lands in this environment.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-258 size-full\" src=\"https:\/\/blogs.ubc.ca\/envr448a\/files\/2019\/10\/Graph.png\" alt=\"\" width=\"581\" height=\"397\" srcset=\"https:\/\/blogs.ubc.ca\/envr448a\/files\/2019\/10\/Graph.png 581w, https:\/\/blogs.ubc.ca\/envr448a\/files\/2019\/10\/Graph-300x205.png 300w, https:\/\/blogs.ubc.ca\/envr448a\/files\/2019\/10\/Graph-552x377.png 552w\" sizes=\"auto, (max-width: 581px) 100vw, 581px\" \/><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">Figure 1: The 4 countries chosen here are pulled from a larger dataset, used to show a comparison between countries with a larger area yet a smaller agricultural footprint and countries with a smaller area that have increased agricultural practices.\u00a0 Created by M. Millward and sourced from\u00a0 OurWorld In Data 2015.<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">2. Synthetic Fertilizers; The use of various types of nitrogenous fertilizers show an overall increasing trend over time and the dominant signal is the increased amount (gigagrams) of direct and indirect fertilizer emissions sourced from the United States. These trends have further implications on climate change beyond the direct emissions associated with the fertilizers themselves because the increased levels of fertilizers may also be a response to agricultural practices. An increased use of synthetic fertilizers allow for the global demand for food to be met and agricultural emissions (being one of the most significant contributors to climate change) plotted on the same graph would show a clear correlation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">3. Precipitation-Snow; The plot shown below has a clear sinusoidal wave function reflecting the seasonal changes. Intuitively, in peak summer temperatures the snow cover is lower than in peak winter temperatures, therefore an assumption can be determined that the snow cover in the northern hemisphere is correlated with the environmental conditions (particularly temperature). Upon closer examination, the best-fit line drawn through the graph shows a slight decrease over the years which may be interpreted as global warming or as another possibility such as a negative feedback loop correction.\u00a0<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">Snow has significant effects on many aspects of the environment \u2013 it has strong albedo to reflect solar radiation back from Earth, it can act as a thermal blanket over organisms such as plants or aquatic organisms, and it replenishes water sources in the coming spring.<\/span><\/i><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-236 size-full\" src=\"https:\/\/blogs.ubc.ca\/envr448a\/files\/2019\/10\/Screen-Shot-2019-10-09-at-11.07.03-PM.png\" alt=\"\" width=\"1160\" height=\"360\" srcset=\"https:\/\/blogs.ubc.ca\/envr448a\/files\/2019\/10\/Screen-Shot-2019-10-09-at-11.07.03-PM.png 1160w, https:\/\/blogs.ubc.ca\/envr448a\/files\/2019\/10\/Screen-Shot-2019-10-09-at-11.07.03-PM-300x93.png 300w, https:\/\/blogs.ubc.ca\/envr448a\/files\/2019\/10\/Screen-Shot-2019-10-09-at-11.07.03-PM-768x238.png 768w, https:\/\/blogs.ubc.ca\/envr448a\/files\/2019\/10\/Screen-Shot-2019-10-09-at-11.07.03-PM-1024x318.png 1024w, https:\/\/blogs.ubc.ca\/envr448a\/files\/2019\/10\/Screen-Shot-2019-10-09-at-11.07.03-PM-1140x354.png 1140w, https:\/\/blogs.ubc.ca\/envr448a\/files\/2019\/10\/Screen-Shot-2019-10-09-at-11.07.03-PM-552x171.png 552w\" sizes=\"auto, (max-width: 1160px) 100vw, 1160px\" \/><\/p>\n<p style=\"text-align: center;\"><em>Figure 2: Monthly snow coverage over the Eurasian\u00a0 continent\u00a0 between 1996-2019. Created by G. Gillies and sourced from Estilow et al, 2015.<\/em><\/p>\n<p><strong>Sources<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">Estilow, T. W., Young, A. H., Robinson, D. A. (2015). A long-term Northern Hemisphere snow cover extent data record for climate studies and monitoring.\u00a0 <\/span><i><span style=\"font-weight: 400;\">Earth System Science Data, 7,<\/span><\/i><span style=\"font-weight: 400;\"> 137-142. doi: 10.5194\/essd-7-137-2015<\/span><\/p>\n<p>OurWorld in Data. (2015). \u201cHow much land do countries use for agriculture\u201d. <em>WorldBank 2015 World development indicators<\/em>. Retrieved from: \u2018https:\/\/ourworldindata.org\/&#8217;<\/p>\n","protected":false},"excerpt":{"rendered":"<p class=\"post-excerpt\">The task this week was to observe environmental datasets that may have more than one \u2018signal\u2019 present contributing to the&#8230;<\/p>\n","protected":false},"author":41808,"featured_media":0,"parent":263,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-268","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blogs.ubc.ca\/envr448a\/wp-json\/wp\/v2\/pages\/268","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.ubc.ca\/envr448a\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.ubc.ca\/envr448a\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/envr448a\/wp-json\/wp\/v2\/users\/41808"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/envr448a\/wp-json\/wp\/v2\/comments?post=268"}],"version-history":[{"count":3,"href":"https:\/\/blogs.ubc.ca\/envr448a\/wp-json\/wp\/v2\/pages\/268\/revisions"}],"predecessor-version":[{"id":316,"href":"https:\/\/blogs.ubc.ca\/envr448a\/wp-json\/wp\/v2\/pages\/268\/revisions\/316"}],"up":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/envr448a\/wp-json\/wp\/v2\/pages\/263"}],"wp:attachment":[{"href":"https:\/\/blogs.ubc.ca\/envr448a\/wp-json\/wp\/v2\/media?parent=268"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}