Studies of the “human dimension” of landscapes have become increasingly important in landscape also as a “place” with its meanings and contributions to societal identity. In this chapter, we present some of the key theories of landscape experience and empirical research related to those theories. They are grouped around three concepts: First, we survey theories dealing with landscapes perceived...

According to its advocates, an ecosystem-services-based approach to conservation will engender greater public support and produce more durable victories. Here, we identify three potential opportunity costs associated with such an approach: (1) diminished attention to protecting rare, localized species (the night parrot effect); (2) diminished attention to protecting wild, remote areas (the prox...

Coral reefs are among the most biodiverse and productive ecosystems on Earth, and provide critical ecosystem services such as protein provisioning, coastal protection, and tourism revenue. Despite these benefits, coral reefs have been declining precipitously across the globe due to human impacts and climate change. Recent efforts to combat these declines are increasingly turning to restoration ...

Restoration has been elevated as an important strategy to reverse the decline of coastal wetlands worldwide. Current practice in restoration science emphasizes minimizing competition between out-planted propagules to maximize planting success. This paradigm persists despite the fact that foundational theory in ecology demonstrates that positive species interactions are key to organism success u...

A unified theory of visual recognition and attentional selection is developed by integrating the biased-choice model for single-stimulus recognition (Luce, 1963; Shepard, 1957) with a choice model for selection from multielement displays (Bundesen, Pedersen, & Larsen, 1984) in a race model framework. Mathematically, the theory is tractable, and it specifies the computations necessary for select...

The question “what is on the table?” is normally simple for a human, but difficult for a machine. The problem is that the machine does not know what to search for, as no visual properties of the targets are known. Machine-vision algorithms, in general, need explicit knowledge of visual properties to perform object detection. Moreover, several visual properties must be considered to provide robu...

This paper presents a generalization of restoration theory for the problem of SuperResolution Reconstruction (SRR) of an image. In the SRR problem, a set of low quality images is given, and a single improved quality image which fuses their information is required. We present a model for this problem, and show how the classic restoration theory tools ML, MAP and POCS can be applied as a solution...

There is abundant evidence for both cognitive and affective improvements stemming from spending time in nature; however, the mechanism underlying these effects are still under debate. Frameworks such as Attention Restoration Theory (ART; Kaplan 1995) Stress Recovery (SRT; Ulrich et al. 1991) have been helpful understanding how restoration achieved. Using neurovisceral integration model (NIVM; T...