For over a century, it has been commonly observed that the pace-of-life in modern society appears to be significantly faster than in non-modern societies, but exactly what forces drive these differences continue to be both hotly debated and difficult to study. While prior studies on pace-of-life have focused on population-level correlations between these factors and pace-of-life, they provide few details about how changes to pace-of-life associated with modernity actually occur in context. This study addresses the issue from a historical perspective, attempting to identify what factors are relevant to a change of pace-of-life in a non-modern to modern lifestyle transition over a single lifetime. This study performs a historical analysis, examining changes in pace-of-life experienced by students of the Carlisle Indian Industrial School, an Indian residential school operating in the late 19th and early 20th centuries, as compared to the non-modern lifestyle of the Plains Indian Cultures from the same time period. This study finds that the pace-of-life experienced by students at Carlisle were consistently faster, more intense and more regimented than in non-modern lifestyles. Such changes in pace-of-life were driven in large part by efforts of the school to transform the students behavior into a model the administration considered more suited to life in a modern society, chiefly, time-disciplined, individualistic, future oriented and competitive laborers. This case highlights that the role of individual behavioral manipulation by large-scale institutions is an underappreciated force in changes to pace-of-life in modern society.

Urban community gardens hold the potential to serve as a form of multifunctional green infrastructure to advance urban sustainability goals through the array of ecosystem services they afford. While a substantial body of literature has been produced that is dedicated to the study of these services (e.g., providing fresh produce, promoting socialization, and enhancing urban biodiversity), less attention has been paid to the strategic planning of urban community gardens, particularly in an expansive urban setting, and in the context of the co-benefit of mitigating extreme heat. The research presented in this dissertation explores the potential of community gardens as a form of multifunctional green infrastructure and how these spaces can be planned in a manner that strives to be both systematic and transparent. It focuses on methods that can (1) be employed to identify vacant or open land plots for large metropolitan areas and (2) explores multicriteria decision analysis and (3) optimization approaches that assist in the selection of “green” spaces that serve as both provisioning (a source of fresh fruits and vegetables) and regulating (heat mitigation) services, among others. This exploration involves three individual studies on each of these themes, using the Phoenix metropolitan area as its analytical backdrop. The major lessons from this piece are: (1) remotely sensed data can be effectively paired with cadastral data to identify thousands of vacant parcels for potential greening at a metropolitan scale; (2) a stakeholder-weighted multicriteria decision analysis for community garden planning can serve as an effective decision support tool, but participants' conceptualization of garden spaces resulted in social criteria being prioritized over physical-environmental factors, potentially influencing the provisioning of co-benefits; and (3) optimized urban community garden networks hold the potential to synergistically distribute co-benefits across a large metropolitan area in a manner that systematically prioritizes high-need neighborhoods. The methods examined are useful for all metropolises with a preponderance of open or vacant land seeking to advance urban sustainability goals through green infrastructure.

The Dhofar Cloud Forest is one of the most diverse ecosystems on the Arabian Peninsula. As part of the South Arabian Cloud Forest that extends from southern Oman to Yemen, the cloud forest is an important center of endemism and provides valuable ecosystem services to those living in the region. There have been various claims made about the health of the cloud forest and its surrounding region, the most prominent of which are: 1) variability of the Indian Summer Monsoon threatens long-term vegetation health, and 2) human encroachment is causing deforestation and land degradation. This dissertation uses three independent studies to test these claims and bring new insight about the biodiversity of the cloud forest.

Evidence is presented that shows that the vegetation dynamics of the cloud forest are resilient to most of the variability in the monsoon. Much of the biodiversity in the cloud forest is dominated by a few species with high abundance and a moderate number of species at low abundance. The characteristic tree species include Anogeissus dhofarica and Commiphora spp. These species tend to dominate the forested regions of the study area. Grasslands are dominated by species associated with overgrazing (Calotropis procera and Solanum incanum). Analysis from a land cover study conducted between 1988 and 2013 shows that deforestation has occurred to approximately 8% of the study area and decreased vegetation fractions are found throughout the region. Areas around the city of Salalah, located close to the cloud forest, show widespread degradation in the 21st century based on an NDVI time series analysis. It is concluded that humans are the primary driver of environmental change. Much of this change is tied to national policies and development priorities implemented after the Dhofar War in the 1970’s.

This dissertation creates models of past potential vegetation in the Southern Levant during most of the Holocene, from the beginnings of farming through the rise of urbanized civilization (12 to 2.5 ka BP). The time scale encompasses the rise and collapse of the earliest agrarian civilizations in this region. The archaeological record suggests that increases in social complexity were linked to climatic episodes (e.g., favorable climatic conditions coincide with intervals of prosperity or marked social development such as the Neolithic Revolution ca. 11.5 ka BP, the Secondary Products Revolution ca. 6 ka BP, and the Middle Bronze Age ca. 4 ka BP). The opposite can be said about periods of climatic deterioration, when settled villages were abandoned as the inhabitants returned to nomadic or semi nomadic lifestyles (e.g., abandonment of the largest Neolithic farming towns after 8 ka BP and collapse of Bronze Age towns and cities after 3.5 ka BP during the Late Bronze Age). This study develops chronologically refined models of past vegetation from 12 to 2.5 ka BP, at 500 year intervals, using GIS, remote sensing and statistical modeling tools (MAXENT) that derive from species distribution modeling. Plants are sensitive to alterations in their environment and respond accordingly. Because of this, they are valuable indicators of landscape change. An extensive database of historical and field gathered observations was created. Using this database as well as environmental variables that include temperature and precipitation surfaces for the whole study period (also at 500 year intervals), the potential vegetation of the region was modeled. Through this means, a continuous chronology of potential vegetation of the Southern Levantwas built. The produced paleo-vegetation models generally agree with the proxy records. They indicate a gradual decline of forests and expansion of steppe and desert throughout the Holocene, interrupted briefly during the Mid Holocene (ca. 4 ka BP, Middle Bronze Age). They also suggest that during the Early Holocene, forest areas were extensive, spreading into the Northern Negev. The two remaining forested areas in the Northern and Southern Plateau Region in Jordan were also connected during this time. The models also show general agreement with the major cultural developments, with forested areas either expanding or remaining stable during prosperous periods (e.g., Pre Pottery Neolithic and Middle Bronze Age), and significantly contracting during moments of instability (e.g., Late Bronze Age).