Disentangling the effects of hydro-climatic factors and land use intensification on wetland vegetation dynamics in the Lower Delta of the Paraná River

2021 ◽  
Vol 21 ◽  
pp. 100466
Author(s):  
Diego Sebastián Aquino ◽  
Gregorio Gavier-Pizarro ◽  
Rubén Darío Quintana
2020 ◽  
Vol 7 (2) ◽  
pp. 40-48
Author(s):  
Nathan Felipe da Silva Caldana ◽  
Pablo Ricardo Nitsche ◽  
Alan Carlos Martelócio ◽  
Luiz Gustavo Batista Ferreira ◽  
Paulo Henrique Caramori ◽  
...  

Fruticulture constitutes an important sector of the Brazilian agricultural industry. Despite technological and scientific advances, climate is still the most important variable defining crop productivity. Because of this, agroclimatic zoning should be one of the first factors to consider when starting to plant a particular crop. The objective of this work was to conduct climate risk zoning for guava (Psidium guajava L.) in Paraná river basin 3, Paraná, Brazil, using meteorological data from 43 stations collected between 1976 and 2018. The climate risk analysis was based on the climatic factors that impact the species, such as rainfall, annual water deficit, average annual temperature, coldest month temperature, and risk of frost. The findings of this study suggest that the basin has areas with a low climate risk for guava cultivation. Precipitation and water balance were sufficient under all tested scenarios. The most limiting factor for production was frost, but with risk only present during the first years of cultivation. Despite this, planting restrictions were only predicted to occur in the far west portion of the basin. Agricultural techniques that reduce the risk of frost and avoiding areas with greater frost incidences are the two most important aspects to consider to ensure greater success for guava in the region.


Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 882 ◽  
Author(s):  
Sameh A. Abou Rafee ◽  
Cintia B. Uvo ◽  
Jorge A. Martins ◽  
Leonardo M. Domingues ◽  
Anderson P. Rudke ◽  
...  

The Upper Paraná River Basin (UPRB) has undergone many rapid land use changes in recent decades, due to accelerating population growth. Thus, the prediction of water resources has crucial importance in improving planning and sustainable management. This paper presents a large-scale hydrological modelling of the UPRB, using the Soil and Water Assessment Tool (SWAT) model. The model was calibrated and validated for 78 outlets, over a 32-year simulation period between 1984 and 2015. The results and the comparison between observed and simulated values showed that after the calibration process, most of the outlets performed to a satisfactory level or better in all objective functions analyzed with 86%, 92%, 76%, 88%, and 74% for Percent bias, Coefficient of determination, Nash-Sutcliffe efficiency, Kling-Gupta efficiency, and the Ratio of Standard deviation of observations to root mean square error, respectively. The model output provided in this work could be used in further simulations, such as the evaluation of the impacts of land use change or climate change on river flows of the Upper Paraná Basin.


2016 ◽  
Vol 568 ◽  
pp. 967-978 ◽  
Author(s):  
Y.V. Sica ◽  
R.D. Quintana ◽  
V.C. Radeloff ◽  
G.I. Gavier-Pizarro

2013 ◽  
Vol 25 (4) ◽  
pp. 451-462 ◽  
Author(s):  
Ana Paula Lemke ◽  
Yzel Rondon Súarez

OBJECTIVES: Among the most relevant issues in community ecology is the influence of different ways of addressing the pattern of diversity and distribution of species, and based on this, the present study sought to evaluate the influence of landscape and local characteristics on the richness and composition of fish assemblages in the Ivinhema River basin. METHOD: In the present study, we used data of distribution of fish species in 25 stretches of streams of the Ivinhema River basin, Upper Paraná River, aiming to know the role of local characteristics and land use on fish assemblages. RESULTS: We identified 113 fish species, and those sampled in a greater number of sites were: Astyanax altiparanae and Serrapinnus notomelas. The richness varied between 4 and 65 species. The regression tree allowed explaining 89.3% of richness variation, and permitted to identify that altitude is the main predictor of richness. According to the canonical correspondence analysis, variables that most influenced the species distribution were: altitude, depth, width, velocity, conductivity and percentage of built-up areas. CONCLUSIONS: Our results suggested that factors that most influenced fish assemblages in the Ivinhema River basin were physiographic and limnological characteristics, followed by land use.


Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 249
Author(s):  
Quanfeng Li ◽  
Zhe Dong ◽  
Guoming Du ◽  
Aizheng Yang

The intensified use of cultivated land is essential for optimizing crop planting practices and protecting food security. This study employed a telecoupling framework to evaluate the cultivated land use intensification rates in typical Chinese villages (village cultivated land use intensifications—VCLUIs). The pressure–state–response (PSR) model organizes the VCLUI indexes including the intensity press, output state, and structural response of cultivated land use. Empirical analysis conducted in Baiquan County, China, indicating that the cultivated land use intensification levels of the whole county were low. However, the intensifications of villages influenced by physical and geographic locations and socioeconomic development levels varied significantly. This paper also found that variations in the VCLUIs were mainly dependent on new labor-driven social subsystem differences. Thus, the expanding per capita farmland scales and increasing numbers of new agricultural business entities were critical in improving the VCLUI. Overall, the theoretical framework proposed in this study was demonstrated to be effective in analyzing interactions among the natural, social, and economic subsystems of the VCLUI. The findings obtained in this study potentially have important implications for future regional food security, natural stability, and agricultural land use sustainability.


Geomorphology ◽  
2016 ◽  
Vol 253 ◽  
pp. 146-158 ◽  
Author(s):  
Z.Y. Marchetti ◽  
P.G. Minotti ◽  
C.G. Ramonell ◽  
F. Schivo ◽  
P. Kandus

2021 ◽  
Vol 30 (5) ◽  
pp. 1056-1069
Author(s):  
Xiaohua Wan ◽  
Xinli Chen ◽  
Zhiqun Huang ◽  
Han Y. H. Chen

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