Primary productivity of phytoplankton estimated with the oxygen and carbon fourteen methods at one station of Estero de Punta Banda, Mexico

Sosa-Ávalos, Ramón; Millán-Núñez, Roberto; Santamaría-del-Ángel, Eduardo

doi:10.7773/cm.v23i3.805

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…The effects of semidiurnal and fortnightly tidal cycles on heterotrophic bacteria vary across and within ecosys tems. Mechanical effects coupled to advective transport of bacterial cells (Wright and Coffin, 1983;Chrzanowski and Zingmark, 1989;Thottathil et al, 2008) and bacterial resuspen sion from sediments (Wilson and Stevenson, 1980;Kirchman et al, 1984;Painchaud et al, 1995;Sosa-Ávalos et al, 1997;Shimeta et al, 2003;Chauchan et al, 2009) have been used to explain, to some extent, tidal variability of bacterioplankton (but see previous section).…”

Section: Hydrologic Control Of Bacterial Loss Ratesmentioning

confidence: 99%

Hydrology and Biota Interactions as Driving Forces for Ecosystem Functioning

Barbosa

Chı́charo

2011

Treatise on Estuarine and Coastal Science

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Section: Hydrologic Control Of Bacterial Loss Ratesmentioning

confidence: 99%

Hydrology and Biota Interactions as Driving Forces for Ecosystem Functioning

Barbosa

Chı́charo

2011

Treatise on Estuarine and Coastal Science

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Inconvenientes del uso de promedios de parámetros fisicoquímicos no conservativos, ejemplos de caso lagunas costeras mexicanas

Espino

Pulido

Mendieta

2020

Tecnura

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Contexto: La amplia variación en los parámetros fisicoquímicos y biológicos costeros, son resultado de factores locales naturales: clima, geomorfología, influencia marina, descargas fluviales, como los antropogénicos, resultando variaciones amplias y esto ha dado lugar al uso de promedios que no reflejan la realidad acuática. Por lo anterior el presente estudio analiza el comportamiento teórico de los parámetros conservativos y los no conservativos y biológicos de lagunas costeras tanto del Golfo de México como del Pacífico mexicano, a través de datos referidos como mínimos, máximos y promedio, y su grado certeza. Metodología: Se recabó información fisicoquímica y biológica de 11 lagunas costeras con diferencias ambientales extremas: cinco de la vertiente del Golfo de México y seis del Pacífico mexicano, según la disponibilidad y continuidad de la información. Resultados: Los intervalos de los parámetros conservativos y no conservativos (máximo y mínimo) fueron significativamente amplios, asociados a factores climáticos estacionales (precipitaciones y estiaje), descargas fluviales temporales o permanentes, manejo del agua en el área terrestre adyacente, así como por la influencia mareal. Por lo tanto, emplear un promedio basado en máximos y mínimos de esos factores no es recomendable. En los parámetros no conservativos hubo diferencias de variación cortas o de mayor amplitud; debidas a la dinámica de circulación, época, incluso, a la anualidad hasta la interanualidad, por lo que no es recomendable utilizar promedios. Con base en lo anterior, se estimaron mayores variaciones en los parámetros acuáticos en las lagunas del Pacífico y mayor homogeneidad en las del Golfo de México, resultado de la regularidad fluvioclimática, menor influencia antropogénica y de menor manejo costero. Conclusiones: Para un diagnostico con una visión integrativa de los factores fisicoquímicos y biológicos costeros, es necesario basarse en el conocimiento de las condiciones normales locales que incluyen: la dinámica física, fluvial, geomorfológica e influencias terrestres adyacentes, para diferenciarse de los impactos antropogénicos, que modifican las características acuáticas; por lo que no es adecuado referir los resultados como mínimos, máximos y promedios que en muchos casos el intervalo entre el primero y el último puede ser amplio, inseguro y erróneo; además de no ser repetitivos o permanentes y variar heterogéneamente, como se pudo apreciar en las lagunas elegidas del Golfo de México y Pacífico Mexicano.

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Spatial-Temporal Changes of Carbon Source/Sink in Terrestrial Vegetation Ecosystem and Response to Meteorological Factors in Yangtze River Delta Region (China)

Zou

Chen

et al. 2022

Sustainability

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As an important part and the core link of a terrestrial ecosystem, terrestrial vegetation is the main means for human to regulate climate and mitigate the increase in atmospheric CO2 concentration. The Yangtze River Delta (YRD) region is an urban agglomeration with the strongest comprehensive strength among developing countries (China). In the context of global climate change, a rapid, comprehensive, and detailed understanding of the spatio-temporal characteristics and variation tendency of the net ecosystem productivity (NEP) of vegetation and its response to climate during the rapid development of the YRD region is important for protecting ecological land, strengthening land management, and optimizing urban planning. The monthly mean temperature and rainfall data from 63 meteorological stations, the MODIS net primary productivity product, and a land cover product in the YRD region were used to estimate the NEP from 2000 to 2019 based on the soil respiration model, and the correlation between NEP and meteorological factors (such as temperature and rainfall) was analyzed. The results showed that: (1) From 2000 to 2019, the carbon sink area was much larger than the carbon source area in terrestrial vegetation in the Yangtze River Delta, the mean NEP of the vegetation ecosystem in the past 20 years was 253.2 g C·m−2·a−1, and the spatial distribution presented a trend that was higher in the south and lower in the north, higher in the east and lower in the west, and that gradually increased from northwest to southeast; moreover, the NEP of mountain areas was generally higher than that of river courses and urban surroundings. The interannual fluctuation of NEP was small, but presented a slightly increasing trend, and the interannual variation of NEP was significantly correlated with the maximum NEP in this region. (2) The carbon sink capacity of different vegetation cover types was (from strong to weak): forestlands > grasslands > wetlands ≈ croplands. (3) The area with the NEP change rate (θslope) > 0 accounted for 69.0%; however, there was certain spatial difference, the proportions of the areas with θslope < 0 were (from large to small) 14.50% (Zhejiang Province, China), 9.10% (Anhui Province, China), 6.65% (Jiangsu Province, China), and 0.79% (Shanghai, China). In terms of the individual changes of these provinces and municipalities, Shanghai > Zhejiang Province > Jiangsu Province ≈ Anhui Province. (4) There was a correlation between NEP and the annual mean temperature and annual precipitation in some regions.

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Primary productivity of phytoplankton estimated with the oxygen and carbon fourteen methods at one station of Estero de Punta Banda, Mexico

Cited by 3 publications

References 13 publications

Hydrology and Biota Interactions as Driving Forces for Ecosystem Functioning

Hydrology and Biota Interactions as Driving Forces for Ecosystem Functioning

Inconvenientes del uso de promedios de parámetros fisicoquímicos no conservativos, ejemplos de caso lagunas costeras mexicanas

Spatial-Temporal Changes of Carbon Source/Sink in Terrestrial Vegetation Ecosystem and Response to Meteorological Factors in Yangtze River Delta Region (China)

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