000			03913nam a22005415i 4500
001			978-0-387-77942-3
003			DE-He213
005			20251006084417.0
007			cr nn 008mamaa
008			100301s2009 xxu| s |||| 0|eng d
020			_a9780387779423
020			_a99780387779423
024	7		_a10.1007/978-0-387-77942-3 _2doi
082	0	4	_a577 _223
100	1		_aMiao, ShiLi. _eeditor.
245	1	0	_aReal World Ecology _h[electronic resource] : _bLarge-Scale and Long-Term Case Studies and Methods / _cedited by ShiLi Miao, Susan Carstenn, Martha Nungesser.
264		1	_aNew York, NY : _bSpringer New York, _c2009.
300			_bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_a- Unprecedented Challenges in Ecological Research: Past and Present -- Structural Equation Modeling and Ecological Experiments -- Approaches to Predicting Broad-Scale Regime Shifts Using Changing Pattern-Process Relationships Across Scales -- Integrating Multiple Spatial Controls and Temporal Sampling Schemes To Explore Short- and Long-Term Ecosystem Response to Fire in an Everglades Wetland -- Bayesian Hierarchical/Multilevel Models for Inference and Prediction Using Cross-System Lake Data -- Avian Spatial Responses to Forest Spatial Heterogeneity at the Landscape Level: Conceptual and Statistical Challenges -- The Role of Paleoecology in Whole-Ecosystem Science -- A Spatially Explicit, Mass-Balance Analysis of Watershed-Scale Controls on Lake Chemistry -- Forecasting and Assessing the Large-Scale and Long-Term Impacts of Global Environmental Change on Terrestrial Ecosystems in the United States and China -- Gradual Global Environmental Change in the Real World and Step Manipulative Experiments in Laboratory and Field: The Necessity of Inverse Analysis -- Ecology in the Real World: How Might We Progress?.
520			_aIncreasingly, ecosystem management and restoration efforts require understanding ecological processes that occur at large temporal and spatial scales. These phenomena are difficult to study using traditional statistical approaches that require randomization, replication, and control conditions. This book presents nine case studies highlighting new quantitative tools that scientists can apply to the design and analysis of large-scale, long-term experiments. Each case study identifies inherent constraints posed by traditional experimental tools and then suggests solutions that match appropriate novel experimental designs and analyses to the research questions. A conceptual framework has emerged from these studies relating spatial and temporal scales of scientific questions to methods, available data, and current knowledge about processes and mechanisms. This book provides invaluable guidance to ecologists who conceptualize, design, analyze, and synthesize real world ecological research.
650		0	_aLIFE SCIENCES.
650		0	_aAPPLIED ECOLOGY.
650		0	_aENDANGERED ECOSYSTEMS.
650		0	_aLANDSCAPE ECOLOGY.
650		0	_aECOLOGY.
650		0	_aSTATISTICS.
650		0	_aNATURE CONSERVATION.
650	1	4	_aLIFE SCIENCES.
650	2	4	_aECOSYSTEMS.
650	2	4	_aAPPLIED ECOLOGY.
650	2	4	_aLANDSCAPE ECOLOGY.
650	2	4	_aTHEORETICAL ECOLOGY/STATISTICS.
650	2	4	_aSTATISTICS FOR LIFE SCIENCES, MEDICINE, HEALTH SCIENCES.
650	2	4	_aNATURE CONSERVATION.
700	1		_aCarstenn, Susan. _eeditor.
700	1		_aNungesser, Martha. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387779416
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-77942-3 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SBL
942			_2ddc _cER
999			_c59034 _d59034