FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2804990964> ?p ?o ?g. }

• W2804990964 abstract "Author(s): Nunez, Tristan | Advisor(s): Brashares, Justin S | Abstract: Animal movement influences ecological and biogeographical dynamics, and studying it reveals helpful insights at a time when anthropogenic activities have accelerated rates of climatic and land cover change. This dissertation addresses three fundamental questions in ecology and biogeography linked to the movement and distribution of animals. First, how do animal movements affect their environments? Second, how do the effects of land use change interact with atmospheric climate change to alter species distributions? Third, how do organisms track their climatic niches through time and space? Each question is addressed with a separate study, each generating methods and results with implications for future academic work, management, and conservation.In the first study, I tracked the daily movements of the common hippopotamus, Hippopotamus amphibius, a megaherbivore that transports nutrient-rich biomass between terrestrial and aquatic ecosystems. I developed a spatially explicit biomass transfer model that relates rates of ingestion and egestion to movement behavior states derived from the movement data. The biomass transfer model revealed the process by which H. amphibius generates patterned landscapes of nutrient removal and deposition hotspots. In addition, the model generated maps of these nutrient transfer landscapes, making it possible to explore the spatial dynamics of nutrient transfers, and showing that the amount of biomass transferred reaches levels equivalent to rates of aboveground net primary productivity. In addition to revealing the influences of H. amphibius on ecosystem ecology, this study also provided metrics of home range size, habitat use, and movement behavior useful for conservation planning. The first study provides a method for nutrient transfer mapping which could be applied to many other species, and leverages increasing quantities of high-resolution movement tracking data to map transfers of nutrients across landscapes. This can help predict the landscape-scale ecological changes resulting from the loss of animal movements that provide nutrient transfers. The approach can also be used to map other material transport dynamics, such as animal-transported seed dispersal or the movement of persistent organic pollutants. In the second study, I used species distribution modeling to identify the interacting effects of climate and land use change on the distribution of H. amphibius. Hydrologic change is likely to result from ongoing shifts from rain-fed to irrigated agriculture across much of sub-Saharan Africa, where H. amphibius occurs. A lack of spatial data on hydrology, especially data temporally consistent with atmospheric climate datasets, has made it difficult to build species distribution models for semiaquatic species, such as H. amphibius, which are physiologically dependent on surface water. I overcame this challenge by coupling a simple hydrologic model to scenarios of land use and climate change, identifying potential effects on H. amphibius distributions. I found that increased levels of streamflow abstraction from irrigation will lead to much greater declines in H. amphibius habitat suitability than arise from scenarios of climate change alone. I also contrasted predictions of H. amphibius distributions that incorporated only atmospheric climate variables to predictions that also incorporated hydrologic variables, and found significant improvements in model performance when hydrology was incorporated. The second study provides support for using predictive variables with strong mechanistic links to the physiology or ecology of the focal species when building species distribution models. The study also outlines a way to generate surfaces of key hydrologic variables from the climate surfaces commonly used for species distribution modeling. These surfaces have the potential to greatly improve forecasts generated by other semiaquatic species distribution models. From a conservation perspective, the second study highlights the potential for substantial losses of H. amphibius habitat across Africa as a result of increases in irrigation development. Other semiaquatic species in the region, as well as those dependent on the keystone ecological role of H. amphibius and its nutrient-transporting movements, may be similarly affected.In the third study, I explored the role of movement in shaping species distributions in variable climates. Climatic variability at multiple time scales causes suitable climatic conditions to shift across geographic space. Recent scholarship has proposed that two species traits, the ability to colonize suitable locations, referred to as dispersal, and the ability to continue to occupy an area with unsuitable conditions, referred to as persistence, facilitate niche tracking, the process by which species follow suitable conditions moving through geographic space. By developing a model that simulates niche tracking through historically observed patterns of temporal and spatial variability, I quantified how different dispersal and persistence abilities affect niche tracking potential. I found that both dispersal and persistence facilitate niche tracking, and that small increases in persistence ability result in surprisingly large increases in niche tracking potential. The third study makes two main contributions to ecological niche theory and distribution modeling. The first contribution is to extend niche theory to explicitly address niche tracking, enabling the spatially and temporally explicit mapping of niche tracking dynamics on real landscapes. The second contribution is to quantify the effects on niche tracking potential of increasing persistence and dispersal abilities across real climate surfaces. The results suggest that climate adaptation actions should focus not just on the ability of species to move in response to climate change, but also on their ability to persist through periods of unsuitable conditions." @default.
• W2804990964 created "2018-06-01" @default.
• W2804990964 creator A5081302885 @default.
• W2804990964 date "2017-01-01" @default.
• W2804990964 modified "2023-09-27" @default.
• W2804990964 title "Animal movement in a changing world" @default.
• W2804990964 cites W1507842123 @default.
• W2804990964 cites W1519866246 @default.
• W2804990964 cites W1530451520 @default.
• W2804990964 cites W1535197026 @default.
• W2804990964 cites W1566747350 @default.
• W2804990964 cites W1592782088 @default.
• W2804990964 cites W1670013296 @default.
• W2804990964 cites W1677549105 @default.
• W2804990964 cites W1733480439 @default.
• W2804990964 cites W1785604169 @default.
• W2804990964 cites W1815931204 @default.
• W2804990964 cites W1826044145 @default.
• W2804990964 cites W1965898844 @default.
• W2804990964 cites W1966334841 @default.
• W2804990964 cites W1966811787 @default.
• W2804990964 cites W1967360417 @default.
• W2804990964 cites W1972568755 @default.
• W2804990964 cites W1974141198 @default.
• W2804990964 cites W1974424100 @default.
• W2804990964 cites W1976242336 @default.
• W2804990964 cites W1987443381 @default.
• W2804990964 cites W1989910206 @default.
• W2804990964 cites W1990273831 @default.
• W2804990964 cites W1993693242 @default.
• W2804990964 cites W1995931712 @default.
• W2804990964 cites W1999934221 @default.
• W2804990964 cites W2001788659 @default.
• W2804990964 cites W2006874756 @default.
• W2804990964 cites W2015032635 @default.
• W2804990964 cites W2016006491 @default.
• W2804990964 cites W2022052496 @default.
• W2804990964 cites W2023033196 @default.
• W2804990964 cites W2026237715 @default.
• W2804990964 cites W2028106516 @default.
• W2804990964 cites W2033686454 @default.
• W2804990964 cites W2039242947 @default.
• W2804990964 cites W2051782740 @default.
• W2804990964 cites W2056913712 @default.
• W2804990964 cites W2059595777 @default.
• W2804990964 cites W2059738720 @default.
• W2804990964 cites W2062264750 @default.
• W2804990964 cites W2062476743 @default.
• W2804990964 cites W2065888558 @default.
• W2804990964 cites W2069084892 @default.
• W2804990964 cites W2070767546 @default.
• W2804990964 cites W2071345892 @default.
• W2804990964 cites W2076210668 @default.
• W2804990964 cites W2076999350 @default.
• W2804990964 cites W2080926925 @default.
• W2804990964 cites W2088650247 @default.
• W2804990964 cites W2089532559 @default.
• W2804990964 cites W2094520873 @default.
• W2804990964 cites W2095810036 @default.
• W2804990964 cites W2097601813 @default.
• W2804990964 cites W2097607146 @default.
• W2804990964 cites W2099841894 @default.
• W2804990964 cites W2100226004 @default.
• W2804990964 cites W2101012253 @default.
• W2804990964 cites W2102670626 @default.
• W2804990964 cites W2106820566 @default.
• W2804990964 cites W2111158823 @default.
• W2804990964 cites W2111682934 @default.
• W2804990964 cites W2112243363 @default.
• W2804990964 cites W2112776483 @default.
• W2804990964 cites W2112963583 @default.
• W2804990964 cites W2113036581 @default.
• W2804990964 cites W2118776848 @default.
• W2804990964 cites W2120624796 @default.
• W2804990964 cites W2123145128 @default.
• W2804990964 cites W2123654935 @default.
• W2804990964 cites W2126467338 @default.
• W2804990964 cites W2132524746 @default.
• W2804990964 cites W2132803607 @default.
• W2804990964 cites W2133248901 @default.
• W2804990964 cites W2133269373 @default.
• W2804990964 cites W2133613984 @default.
• W2804990964 cites W2134177354 @default.
• W2804990964 cites W2134327060 @default.
• W2804990964 cites W2137947512 @default.
• W2804990964 cites W2140256430 @default.
• W2804990964 cites W2140452356 @default.
• W2804990964 cites W2140472736 @default.
• W2804990964 cites W2141630770 @default.
• W2804990964 cites W2146910732 @default.
• W2804990964 cites W2146940243 @default.
• W2804990964 cites W2147531279 @default.
• W2804990964 cites W2149064042 @default.
• W2804990964 cites W2149667190 @default.
• W2804990964 cites W2155986656 @default.
• W2804990964 cites W2159154315 @default.
• W2804990964 cites W2163137281 @default.
• W2804990964 cites W2163660461 @default.
• W2804990964 cites W2165058343 @default.
• W2804990964 cites W2170505236 @default.

• next