Abstract
Based on monthly data from 55 meteorological stations from the North Pacific Watershed, seven annual rainfall trends were estimated and analyzed using non-parametric tests. The estimated slopes were analyzed in a geographic context to determine a potential spatial arrangement. Finally a brief analysis of the potential vegetation response from the different physiographic regions and the implications in the productive analysis is discussed. The findings indicated divergent trends in all the proposed variables, in general increasing and drier trends were found. Latitude was the most relevant factor regarding trend behavior in geographic terms. The lack of awareness and apathy from the authorities in the region were found, plus the regional vulnerability may originate notorious and serious consequences if the proper measures are not taken into account.
Highlights
Within the context of climate change, it has been implied that one of the most evident consequences is the modification of the water cycle [1] [2], essentially affecting the precipitation patterns [3] [4]
Sinaloa is a Mexican province located at the northwest Pacific coast of Mexico
Opposing trends were detected for all the rainfall analyzed variables. 37 stations displayed PP negative drying trends, eight were significant
Summary
Within the context of climate change, it has been implied that one of the most evident consequences is the modification of the water cycle [1] [2], essentially affecting the precipitation patterns [3] [4]. Rainfall increasing irregularities have been documented from global [5]-[7] to regional scales [8]-[10]. These irregularities have divergent trends [11]-[13]. The process of climate change has modified rainfall patterns worldwide, the changes are not equal, localized sites within a watershed may develop different attributes of change in relation to. How to cite this paper: Higareda, C.E.R., et al (2014) Analysis of Rainfall Variables Trends and Potential Vegetation Responses in Sinaloa, México. For México, [16]-[18] reported opposing results at different time scales in a regionalized analysis
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