@inbook {878,
	title = {Central Coast Bioregion},
	booktitle = {Fire in California{\textquoteright}s Ecosystems},
	year = {2006},
	pages = {321-349},
	publisher = {University of California Press},
	organization = {University of California Press},
	address = {Berkeley},
	author = {Davis, F. W. and Borchert, M. I.},
	editor = {Sugihara, Neil G. and van Wagtendtonk, J. and Schaffer, K. E. and Fites-Kaufman, J. and Thode, A. E.}
}
@booklet {399,
	title = {The California Gap Analysis Project-Final Report},
	year = {1998},
	month = {1998},
	publisher = {University of California, Santa Barbara},
	author = {Davis, F. W. and Stoms, D. M. and Hollander, A. D. and Thomas, K. A. and Stine, P. A. and Odion, D. and Borchert, M. I. and Thorne, J. H. and Gray, M. V. and Walker, R. E. and Warner, K. and Graae, J.}
}
@article {528,
	title = {A systematic process for selecting representative Research Natural Areas},
	journal = {Natural Areas Journal},
	volume = {18},
	number = {4},
	year = {1998},
	pages = {338-349},
	abstract = {<p>Prioritizing sites as potential Research Natural Areas to represent a set of target vegetation types is a complex planning problem in which competing objectives must be satisfied simultaneously, including suitability and efficiency. We describe a general process for identifying and siting potential Research Natural Areas that is based on a systematic description of vegetation and environmental variation in the region, analysis of patterns of vegetation ownership and management, and optimal site selection based both on vegetational and environmental criteria. The approach is demonstrated with an application to siting Research Natural Areas to represent Mixed Evergreen Forest types on Los Padres National Forest in the central coast of California. We envision this process as a preliminary step that would precede more detailed ground survey and administrative review procedures as currently practiced. It could also be adapted to similar programs of regional conservation planning.</p>
},
	keywords = {reserve selection algorithm weighted-benefits maximal covering location problem Los Padres National Forest research natural areas},
	url = {http://fiesta.bren.ucsb.edu/~fd/Pubs/stoms_et_al_RNA98.pdf},
	author = {Stoms, D. M. and Borchert, M. I. and Moritz, M. A. and Davis, F. W. and Church, R. L.}
}
@conference {727,
	title = {A proposed protocol for identifying potential Research Natural Areas with Gap Analysis data},
	booktitle = {17th Annual ESRI User Conference},
	year = {1997},
	month = {1997},
	publisher = {ESRI},
	organization = {ESRI},
	address = {San Diego},
	abstract = {In this paper we propose a protocol for identifying and evaluating candidate sites for the U. S. National Forest{\textquoteright}s Research Natural Area (RNA) program. The approach is explicit and repeatable and consists of the five following steps: 1) Vegetation Target Type Identification, 2) Quantification of Environmental Variation, 3) Calculation of Site Suitability, 4) Site Selection, and 5) Ground Truth. We also describe a prototype case study using this approach for Mixed Evergreen Forest in Los Padres National Forest in central coastal California. This case study demonstrates the usefulness of Gap Analysis data and GIS-based procedures in conjunction with applications outside GIS, such as vegetation classification and optimization programs. Results indicate that there are often complex trade-offs between efficiency (i.e, covering the most types with the least sites) and suitability (i.e., choosing the most ecologically appropriate sites) of solutions, even in a simple case such as the one described here.},
	keywords = {research natural areas, reserve selection algorithm, Los Padres National Forest},
	url = {http://www.esri.com/base/common/userconf/proc97/PROC97/TO150/PAP145/P145.HTM},
	author = {Moritz, M. and Stoms, D. M. and Borchert, M. I. and Davis, F. W.}
}
@article {389,
	title = {Gap analysis of the actual vegetation of California: 1. The Southwestern Region},
	journal = {Madrono},
	volume = {42},
	number = {1},
	year = {1995},
	pages = {40-78},
	abstract = {Gap Analysis is a method of conservation risk assessment that evaluates the protection status of plant communities, animal species and vertebrate species richness by overlay of biological distribution data on a map of existing biological reserves. The National Biological Survey has undertaken a national Gap Analysis that is being conducted by individual states but that will eventually produce regional and national assessments. Given California{\textquoteright}s size and complexity, we are conducting separate Gap Analyses for each of the state{\textquoteright}s 10 ecological regions, as delineated in The Jepson Manual. Here we summarize our findings on the distribution of plant communities and dominant plant species in the Southwestern Region of California, exclusive of the Channel Islands. We tabulate and discuss regional distribution patterns, management status and patterns of land ownership for 76 dominant woody species and 62 natural communities. Nineteen of 62 mapped communities appear to be at risk, as determined by their poor representation in existing reserves, parks or wilderness areas. Communities restricted largely to the lower elevations, such as non-native grasslands and coastal sage scrub types, are clearly at considerable risk. A majority of the lands at these elevations have already been converted to agricultural or urban uses and most of the remaining lands are threatened with future urbanization. Areas that appear to be of highest priority for conservation action based on agreement between our analysis and a recent assessment by The Nature Conservancy include the Santa Margarita River, San Mateo Creek, Miramar Mesa, Santa Clara floodplain near Fillmore, Sespe and Piru Canyons, and Tejon Pass.},
	keywords = {California, gap analysis, vegetation},
	author = {Davis, F. W. and Stine, P. A. and Stoms, D. M. and Borchert, M. I. and Hollander, A. D.}
}
@article {368,
	title = {Establishment of miscroscale vegetation pattern in maritime chaparral after fire},
	journal = {Vegetatio},
	volume = {84},
	number = {1},
	year = {1989},
	pages = {53-67},
	author = {Davis, F. W. and Borchert, M. I. and Odion, D. C.}
}
@article {337,
	title = {Interactions of factors affecting seedling recruitment of Blue oak (Quercus douglasii) in California},
	journal = {Ecology},
	volume = {70},
	number = {2},
	year = {1989},
	note = {this paper is the origin of the northness index as an estimate of relative solar insolation derived from slope and aspect (azimuth from north)},
	pages = {389-404},
	keywords = {acorn blue oak cattle exclosures gophers interaction mice predation seedling woodland classification and regression tree (CART) hierarchical cluster analysis stepwise logistic regression American Canyon Agua Escondido San Luis Obispo County northness inde},
	author = {Borchert, M. I. and Davis, F. W. and Michaelsen, J. and Oyler, L. D.}
}
