Jornada Bibliography
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Preliminary producer data synthesis, 1970, Comprehensive Network Sites. US/IBP Grassland Biome.
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1972. Plant community structure. Preliminary Analysis of Structure and Function in Grasslands: Proceedings of Symposium Entitled "The Grassland Biome: Analysis and synthesis of First Year Data". :41-58.
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1971. Does energy flux determine ant diversity? A case study in an arid ecosystem 93rd Ecological Society of America Annual Meetings. :PS71-14.
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2008. Simple method for monitoring rangeland health and wildlife habitat. IX International Rangeland Congress.
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2011. A simple graphical approach to quantitative monitoring of rangelands. Rangelands. 33(4):6-13.
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1993. Seasonal activity of tenebrionid beetles in New Mexico mesquite dunes. Southwest National. 27:305-308.
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1993. Patterns of tree dieback in Queensland, Australia: the importance of drought stress and the role of resistance to cavitation. Oecologia. 139:190-198.
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1974. Modeling the effects of elevated carbon dioxide on plants: extrapolating leaf response to a canopy. Journal of Agricultural and Forest Meteorology. 61:69-94.
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1992. Modeling the unique attributes of aridland ecosystems: Lessons from the Jornada Basin. Structure and Function of a Chihuahuan Desert Ecosystem: The Jornada Basin Long-Term Ecological Research Site. :321-353.
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2006. An international research network for testing the Dahlem Desertification Paradigm (DDP). Global Environmental Change: Regional Challenges. An Earth System Science Partnership, Open Science Conference. :661.
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2006. Non-Equilibrium Ecology. Encyclopedia of Global Environmental Change, Volume Two.
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2001. Desertification. Encyclopedia of Biodiversity, Volume 2. :61-78.
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2001. Aspectos Socioeconomicos Y Biofisicos de la Desertificaction. International Journal of Ecology and Evironmental Sciences.
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2005. Applying a new desertification paradigm linking biophysical and socioeconomic elements: the Amapola, Mexico, case study. Society for Range Management, 58th Annual Meeting and Trade Show. :PaperNo.282.
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2005. Adaptive strategies of desert shrubs with special reference to the creosotebush (Larrea tridentata [DC] Cov.). Pattern and Process in Desert Ecosystems. :19-49.
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1986. Effects of long-term rainfall variability on evapotranspiration and soil water distribution in the Chihuahuan Desert: A modeling analysis. Plant Ecology. 150:145-159.
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2000. Drylands and global change: Rainfall variability and sustainable rangeland production. Proceedings of the 12th Toyota Conference: Challenge of Plant and Agricultural Sciences to the Crisis of the Biosphere on the Earth in the 21<sup>st</sup> Century. :73-86.
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2000. Validation of primary production model of the desert shrub Larrea tridentata using soil-moisture augmentation experiments. Oecologia. 51:357-363..
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1981. Managing Grass-Shrub Cattle Ranges in the Southwest. 62(Agriculture Handbook No. 62):1-40.
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1959. Predicting primary productivity for forest and desert ecosystem models. Predicting Photosynthesis for Ecosystem Models. Volume II:169-207.
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1980. Modeling Yucca primary productivity: substrate requirements for growth. <i>Yucca</i>. :69-82.
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1980. Do landscape structural and functional units exist? Integrating Hydrology, Ecosystem Dynamics, and Biogeochemistry in Complex Landscapes. :273-296.
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1999. A net CO2 exchange model for Larrea tridentata. Photosynthetica. 13:279-286.
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1979. Impact of drought on desert shrubs: Effects of seasonality and degree of resource island development. Ecological Monographs. 69:69-106.
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1999. Global desertification: building a science for dryland development. Science. 316:847-851.
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2007. Modularity and genericness in plant and ecosystem models. Ecological Modelling. 94:7-16.
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1997. Defining plant functional types for models of desertification. Plant Functional Types. :195-216.
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1997. Modelling whole-plant allocation in relation to carbon and nitrogen supply: Coordination versus optimization: Opinion. Plant and Soil. 185:65-74.
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1996. Plant inoculation with obligate endophytes from arid rangelands grasses: Implications for water usage. Symposium on Efficient Water Use in the Urban Landscape.
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2006. Hyperhydricity reversal and clonal propagation of fourwing saltbush (Atriplex canescens, Chenopodiaceae) cultivated in vitro. Australian Journal of Botany. 56:358-362.
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2008. An improved protocol for micropropagation of saltbush (atriplex) species. Native Plant Journal. 11:53-56.
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2010. Insights on drought and long-term climatic trends: Retrospective analyses of RMA cause of loss data. University Council on Water Resources / National Institute of Water Resources Annual Conference.
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2017. Insights on drought and long-term climatic trends: Retrospective analyses of crop insurance data. ASA-CSSA-SSSA Annual Meeting.
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2017. Agricultural Production Risk in a Changing Climate: Assessing Causes of Loss Using Crop Insurance Data. Ecological Society of America.
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2018. Toward Accessible, Discoverable, and Usable Crop Insurance Data: Multi-scale Analysis and Visualization of Cause of Loss. 16th Annual Climate Prediction Applications Science Workshop (CPASW).
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2018. Assessing Climate Risk on Agricultural Production: Insights Using Retrospective Analysis of Crop Insurance and Climatic Trends. American Geophysical Union.
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2017. In vitro mass clonal propagation and hyperhydricity reversal of four-wing saltbush (Atriplex canescens (Pursh) Nutt.). 2004 World Congress on In Vitro Biology.
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2004. Spatio-temporal variation of crop loss in the United States from 2001 to 2016. Environmental Research letters. 14:1-12.
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2019. Feast or famine: Climate impacts on agriculture using crop insurance data. American Geophysical Union.
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2019. Soils of the grassland biome sites. Preliminary Analysis of Structure and Function in Grasslands: Proceedings of Symposium Entitled "The Grassland Biome: Analysis and synthesis of First Year Data". :35-40.
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1971. Decomposer and nutrient cycling investigations in the Grassland Biome. Preliminary Analysis of Structure and Function in Grasslands: Proceedings of Symposium Entitled "The Grassland Biome: Analysis and synthesis of First Year Data". :133-146.
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1980. Tribal and state ecosystem management regimes influence forest regeneration. Forest Ecology and Management. 260(5):734-743.
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