Landscape ecology addresses interactions between landscape pattern (patches, corridors, etc.) and ecological processes such as flow of energy, materials, and organisms. Landscape ecologists are especially interested in the causes and consequences of landscape heterogeneity over varying spatial and temporal scales. With contributions from ecology, geography, and several social science disciplines, landscape ecology has a set of key emphases, including the influence of natural disturbance and human land use on ecosystems, development of pattern metrics and understanding their link to ecological processes, the importance of landscape pattern for various taxa, and interspecific interactions at spatial scales.
Sponsored by local, state and federal funding agencies, our research explores the representation of and connection between landscape-level patterns and ecological processes and human systems using spatial-temporal, statistical, and simulation models. A major goal of these models is to predict landscape events (e.g., fire, habitat loss, species extinction, deforestation) at relevant spatial and temporal resolution(s), understand the corresponding driving force and/or mechanism behind observed patterns, and provide policy recommendations for addressing emerging human-environment issues.
Mapping and Modeling the Invasion of Mikania Micrantha in Chitwan Community Forests, Nepal Leave geography site
This is a NASA NESSF Project, which aims to evaluate the interactions and feedbacks in coupled human and natural systems (CHANS), and how these interactions and feedbacks will affect the invasion of an exotic plant species Mikania micrantha (also called "mile-a-minute weed”) in subtropical forested buffer zone surrounding Chitwan National Park, Nepal. Ph.D candidate is the PI and Dr. Li An is the advisor of this NASA-funded project (Photo courtesy: The CNH project Leave geography site led by Dr. Scott Yabiku)
Feedbacks between Human Community Dynamics and Socioecological Vulnerability in a Biodiversity Hotspot Leave geography site
This 5-year NSF project (2012-2017) explores the links between Mikania micrantha (an exotic plant species) invasion, ecosystem properties, and activities of households and communities in subtropical forested buffer zone surrounding Chitwan National Park, Nepal. We aim to answer two key questions: 1) What social and ecological factors enable the rapid spread or control of this fast-moving invasive species? 2) How do collectively governed and market-based, non-family organizations facilitate or mitigate the responses of community forest groups to rapid environmental change?
This is a 5-year NSF project (2012-2017) aiming to understand the complex human-environment systems (CHES) at Fanjingshan National Nature Reserve in China, the habitat of the endangered Guizhou golden monkey (Rhinopithecus brelichi) and other endangered species as well as home of over 13,000 villagers with a subsistence lifestyle. Payments for ecosystem services are incentives paid to users of natural resources to reduce their use of these resources and the accompanying stresses and disturbances to the natural systems that provide the resources. We focus on understanding the interactions between payment programs and coupled systems over space and time, shedding light on measurable environmental changes such as associated with species distribution, forest cover and land use transitions due to payment programs, changes in human livelihoods, demographic behavior, and their interrelationships since payment program implementation, and the integrated CHES dynamics.
These projects address red-crowned parrot, the coastal cactus wren and the coastal California gnatcatcher, and six bat species in Southern California. Another project deals with sex-specific habitat models for Bengal tigers in Chitwan National Park, Nepal.
Habitat Monitoring Based on Remote Sensing
The goal of the Multispecies Conservation Program in San Diego County is to ensure the survival of rare, endangered and threatened animal and plant species that mostly occur with the coastal sage scrub ecosystem type. An important for maintaining viable populations of such species is to make sure that the amount and condition of their habitats are maintained. This may be achieved through adaptive management, which necessarily relies on monitoring habitat types and conditions. Remote sensing provides a means for large area and spatially comprehensive monitoring of the vegetation component of habitat. We continue to develop and test image-based procedures for monitoring changes in habitat composition and condition, at spatial resolutions varying between 0.1 to 50 m. A cost and information effective approach to image-based monitoring is through the implementation of a multiple endmember spectral mixture analysis technique applied to SPOT multispectral satellite data capture at time intervals between 1 and 5 years. This research has been supported by NASA, California Department of Fish and Game, San Diego Association of Governments and City of San Diego.
- GEOG 506: Landscape Ecology
- GEOG 585: Quantitative Methods in Geographic Research
- GEOG 591: Remote Sensing of Environment
- GEOG 591L: Remote Sensing of Environment Laboratory
- GEOG 592: Intermediate Remote Sensing of Environment
- GEOG 592L: Intermediate Remote Sensing of Environment Laboratory
- GEOG 780: Seminar in Techniques of Spatial Analysis
Links between landscape patterns and ecological processes at a variety of spatial scales to include causes and measures of landscape patterns, effects of landscape patterns on organisms, landscape models, landscape planning and management.
Application of statistical techniques to geographic research to include simple regression and correlation, multiple regression, geographically weighted regression, classification, factor analysis, and computer applications.
Acquiring and interpreting remotely sensed data of environment. Electromagnetic radiation processes, aerial and satellite imaging systems and imagery. Geographic analysis of selected human, terrestrial, and marine processes and resources.
Practical exercises, introductory processing, visual interpretation and mapping of remotely sensed imagery.
Digital image processing. Thermal infrared and microwave imaging systems and image interpretation principles. Geographic analysis of selected human, terrestrial, oceanographic, and atmospheric processes and resources.
Digital image processing, visual interpretation, mapping of thermal infrared, and microwave imagery.
Spatial analytic techniques from image processing, remote sensing, geographic information systems, cartography or quantitative methods. May be repeated with new content. See Class Schedule for specific content.