Informing environmental problems through field analysis
Toward a community landscape theory of pro-environmental behavior
Bibliographic Data
| ID | 6182211 |
|---|---|
| Authors | Stephen Mainzer (0000-0002-6492-9949), A E Luloff |
| Year | 2017 |
| Volume | 48 |
| Issue | 4 |
| Pages | 483-498 |
| Publication date | 2017-08-08 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Community Development (JOURNAL) |
| Journal identifiers | ISSN: 1557-5330 • E-ISSN: 1944-7485 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/15575330.2017.1325918 |
| OpenAlex | W2615859756 |
| Language | EN |
| Citations received | 5 |
| References cited | 40 |
The physical and social environments influence individual values, perceptions, and actions from which community emerges. These relationships outline a multi-level transdisciplinary framework of interactions that inform human behavior. This article seeks to accomplish three things: (1) to construct a rationale for unifying commonalities among field-based concepts of behavior, landscape, and community; (2) to describe a transdisciplinary field theory-based model of pro-environmental behavior; and (3) to provide a hypothetical application. Finally, we present a community landscape model of pro-environmental behavior as a framework for addressing complex and wicked environmental problems that require transdisciplinary approaches
Construct (python library · Environmental ethics · Environmental resource management · Epistemology · Field (mathematics · Management science · Perception · Sociology · Community Health and Development · Computer Science · Engineering · Environmental Education and Sustainability · Urban Green Space and Health
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| Unique citing works | 5 |
|---|---|
| Citations per year | 0,63 |
| Citation span | 2018 - 2025 (8) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |