3,105 research outputs found
Historical and Contemporary Population Trends in New York
This project explores historical and contemporary population geography trends within the state of New York. New York state contains the largest city and metro area within the United States, New York City, which has served as a major immigration destination for much of its history. Today, it is still considered a major-continuous immigrant gateway metro area. Due to the city being a popular choice for immigration, it has allowed the population of New York to grow and encompass many different cultures and nationalities. This project examines these trends in further detail, by looking at various aspects on why this might be, such as: the potential geographical advantages that the state of New York had over other parts of the United States which could have potentially allowed these trends to occur, along with historical events and policies enacted within the state which made it potentially easier to immigrate there than in other parts of the country. The project also considers the following questions: “Why New York and not other parts of the country?” and “How much of a factor was geography in the population growth of the state?” The findings suggest that geography played an important role in the population growth within New York and that the state enacted many policies to allow the state to be more attractive for immigration
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Changes in NDVI and human population in protected areas on the Tibetan Plateau
Understanding the Tibetan Plateau’s role in environmental change has gained increasing scientific
attention in light of warming and changes in landmanagement. We examine changes in greenness over
the Tibetan Plateau using the Normalized Difference Vegetation Index (NDVI) from the Global Inventory
Monitoring and Modeling Study (GIMMS3g) to identify significant changes over the entire plateau, six
ecoregions, and protected areas based on a multiyear time series of July imagery from 1982 to 2015. We
also test whether there have been changes in human populations in protected areas. There has been
relatively little change in mean NDVI over the Tibetan Plateau or ecoregions, however, there were
significant changes at the pixel level. There are sixty-nine protected areas on the Tibetan Plateau; sixtytwo
protected areas had no significant change in mean NDVI and seven protected areas experienced
a significant increase in NDVI. There has been an increase in population within protected areas from
2000 to 2015; however, mean populations significantly increased in two protected areas and significantly
decreased in four protected areas. Results suggest a slow greening of the Tibetan Plateau,
ecoregions, and protected areas, with a more rapid greening in northern Tibet at the pixel level. Most
protected areas are experiencing minor changes in NDVI independent of human population
IVHS Education Program
https://deepblue.lib.umich.edu/bitstream/2027.42/154098/1/gillespie1990.pd
Implementation of a Tool to Modify Behavior in a Chronic Disease Management Program
Chronic diseases like diabetes, hypertension, and dyslipidemia continue to be a significant burden on the US health care system. As a result, many healthcare providers are implementing strategies to prevent the incidence of heart disease and other chronic conditions. Among these strategies are proper drug therapy and lifestyle modifications. Behavior change is often the rate-limiting step in the prevention and maintenance of lifestyle modifications. The purpose of this paper is to describe a tool used to guide the progression and assess the effectiveness of a cardiovascular risk reduction program. The tool uses the Transtheoretical Model of Behavior Change to determine the readiness and confidence to change specific lifestyle behaviors pertinent to cardiovascular health. The tool aids the practitioner in developing a patient-centered plan to implement and maintain lifestyle changes and can be tailored to use in any situation requiring a behavior change on the part of the patient
Asynchronous Response of Tropical Forest Leaf Phenology to Seasonal and El Niño-Driven Drought
The Hawaiian Islands are an ideal location to study the response of tropical forests to climate variability because of their extreme isolation in the middle of the Pacific, which makes them especially sensitive to El Niño-Southern Oscillation (ENSO). Most research examining the response of tropical forests to drought or El Niño have focused on rainforests, however, tropical dry forests cover a large area of the tropics and may respond very differently than rainforests. We use satellite-derived Normalized Difference Vegetation Index (NDVI) from February 2000-February 2009 to show that rainforests and dry forests in the Hawaiian Islands exhibit asynchronous responses in leaf phenology to seasonal and El Niño-driven drought. Dry forest NDVI was more tightly coupled with precipitation compared to rainforest NDVI. Rainforest cloud frequency was negatively correlated with the degree of asynchronicity (ΔNDVI) between forest types, most strongly at a 1-month lag. Rainforest green-up and dry forest brown-down was particularly apparent during the 2002–003 El Niño. The spatial pattern of NDVI response to the NINO 3.4 Sea Surface Temperature (SST) index during 2002–2003 showed that the leeward side exhibited significant negative correlations to increased SSTs, whereas the windward side exhibited significant positive correlations to increased SSTs, most evident at an 8 to 9-month lag. This study demonstrates that different tropical forest types exhibit asynchronous responses to seasonal and El Niño-driven drought, and suggests that mechanisms controlling dry forest leaf phenology are related to water-limitation, whereas rainforests are more light-limited
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