24 research outputs found
Variacion espacio-temporal de la precipitacion pluvial en Mexico: Una aproximacion a la evaluacion de impactos.
Partición de la evapotranspiración usando isótopos estables en estudios ecohidrológicos
La ecohidrología como disciplina emergente pretende generar conocimiento para entender procesos fundamentales de los ecosistemas en función de la dinámica del ciclo hidrológico. Durante la temporada de lluvias, que coincide con las altas temperaturas en las zonas semiáridas, se desencadenan diversos procesos ecológicos relacionados con el intercambio de agua entre la superficie terrestre y la atmósfera, vía evapotranspiración (ET). A pesar de que existen diferentes metodologías para estimar ET, conocer la proporción de sus componentes, evaporación del suelo (Es) y transpiración de la vegetación (T), en escalas congruentes es todavía complicado. El presente trabajo tiene como objetivo conocer la proporción de T/ET durante un día de la temporada de lluvias en un ecosistema semiárido del noroeste de México, usando isótopos estables como trazadores de los diferentes componentes de la ET. Durante el 24 de julio de 2007 se obtuvo que la proporción T/ET fue de 59 ± 6%, pero mostró una variación importante entre la mañana y la tarde, ya que la T/ET fue de 86 ± 21% por la mañana y decayó a 46 ± 9% en la tarde. Estos resultados apuntan a que durante la mañana la vegetación se mantiene más activa, contribuyendo más a la ET vía T, en contraste con lo que se observa en la tarde. Con el uso de isótopos estables es posible separar la ET en sus componentes en nivel de ecosistema, lo cual permite el avance del conocimiento ecohidrológico
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Preface paper to the Semi-Arid Land-Surface-Atmosphere (SALSA) Program special issue
The Semi-Arid Land-Surface-Atmosphere Program (SALSA) is a multi-agency, multi-national research effort that seeks to evaluate the consequences of natural and human-induced environmental change in semi-arid regions. The ultimate goal of SALSA is to advance scientific understanding of the semi-arid portion of the hydrosphere–biosphere interface in order to provide reliable information for environmental decision making. SALSA approaches this goal through a program of long-term, integrated observations, process research, modeling, assessment, and information management that is sustained by cooperation among scientists and information users. In this preface to the SALSA special issue, general program background information and the critical nature of semi-arid regions is presented. A brief description of the Upper San Pedro River Basin, the initial location for focused SALSA research follows. Several overarching research objectives under which much of the interdisciplinary research contained in the special issue was undertaken are discussed. Principal methods, primary research sites and data collection used by numerous investigators during 1997–1999 are then presented. Scientists from about 20 US, five European (four French and one Dutch), and three Mexican agencies and institutions have collaborated closely to make the research leading to this special issue a reality. The SALSA Program has served as a model of interagency cooperation by breaking new ground in the approach to large scale interdisciplinary science with relatively limited resources
Determination of crop evapotranspiration of table grapes in a semi-arid region of Northwest Mexico using multi-spectral vegetation index
The main goal of this research is to develop and to evaluate a relationship established between Normalized Difference Vegetation Index (NDVI) and crop coefficient (K-c) for estimating crop evapotranspiration (ETc) of table grapes vineyards (Vitis vinifera L., cvs. Perlette and Superior) in the semi-arid region of Northwest Mexico. Two consecutive growing seasons (2005 and 2006) of continuous measurements of ETc with the eddy covariance system were used to test the performance of the K-c-NDVI relationship. An exponential relation relating K-c to NDVI (R-2 = 0.63) is proposed and tested here as the basis for calculating ETc. The obtained results indicate that the K-c-NDVI approach estimates ETc reasonably well over two growing seasons. The root mean square error (RMSE) between measured and derived ETc from NDVI during 2005 and 2006 were respectively about 0.45 and 0.76 mm day(-1). Some discrepancies between measured and simulated ETc occurred when NDVI saturates at high values, causing the under-estimation of evapotranspiration
Observed relation between evapotranspiration and soil moisture in the North American Monsoon region
Combined use of optical and radar satellite data for the monitoring of irrigation and soil moisture of wheat crops
The objective of this study is to get a better understanding of radar signal over irrigated wheat fields and to assess the potentialities of radar observations for the monitoring of soil moisture. Emphasis is put on the use of high spatial and temporal resolution satellite data (Envisat/ASAR and Formosat-2). Time series of images were collected over the Yaqui irrigated area (Mexico) throughout one agricultural season from December 2007 to May 2008, together with measurements of soil and vegetation characteristics and agricultural practices. The comprehensive analysis of these data indicates that the sensitivity of the radar signal to vegetation is masked by the variability of soil conditions. On-going irrigated areas can be detected all over the wheat growing season. The empirical algorithm developed for the retrieval of topsoil moisture from Envisat/ASAR images takes advantage of the Formosat-2 instrument capabilities to monitor the seasonality of wheat canopies. This monitoring is performed using dense time series of images acquired by Formosat-2 to set up the SAFY vegetation model. Topsoil moisture estimates are not reliable at the timing of plant emergence and during plant senescence. Estimates are accurate from tillering to grain filling stages with an absolute error about 9% (0.09 m<sup>3</sup> m<sup>&minus;3</sup>, 35% in relative value). This result is attractive since topsoil moisture is estimated at a high spatial resolution (i.e. over subfields of about 5 ha) for a large range of biomass water content (from 5 and 65 t ha<sup>&minus;1</sup> independently from the viewing angle of ASAR acquisition (incidence angles IS1 to IS6)