The future of Iranian wetlands under climate change

Sanjerehei, Mohammad Mousaei; Rundel, Philip W.

doi:10.1007/s11273-016-9514-y

Cited by 15 publications

(3 citation statements)

References 29 publications

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“…Moreover, meaningful anomalies are generated in hydrological and climatic elements due to the presence of climate change in the study sub-basin. The climate change in the Parishan Lake sub-basin and its impacts have been also reported by Sanjerehei and Rundel (2017), Djamali et al (2016), Vaghefi et al (2019), and Pakmehr et al in (2020. This is a confirmation of the present study results.…”

Section: Resultssupporting

confidence: 92%

Phase space mapping of pivotal climatic and non-climatic elements affecting basin’ drought

Rahmani

Fattahi

2021

Arab J Geosci

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This study puts forward a novel approach to identify Parishan Lake drying up roots by studying the dynamic evolutions in the study sub-basin. SPI, extreme climate indices, and several parameters (precipitation, evaporation, and temperature) were employed for 16 years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018). To obtain the object of the study, the phase space reconstruction method of delays and chaos theory were applied. Reconstruction of the phase space exposed that some attractors were elliptical shape and some were point. The temperature, evaporation, TXn, and PET suggested periodic time-series. However, TX90p, TX10p, TN10p, and SPI revealed aperiodic time-series, and, RX1day, Rx5day, and precipitation exhibited quasi-periodic behavior in time-series. The trajectory dispersion of all the parameters except TN10p, TX90p, and SPI reflected low chaos, while TN10p, TX90p, and SPI presented random behavior. The phase space behavior of RX1day, Rx5day, TN10p, precipitation, TX90p, and TX10p was nonsinusoidal. By contrast, temperature, evaporation, TXn, PET, and SPI displayed sinusoidal phase space behavior. The findings confirmed that Parishan Lake sub-basin has experienced climate changes which have generated anomalies in climatic and nonclimatic parameters. The comparison between reconstructed phase space of study sub-basin and control sub-basin verified that climate change yielded equal impacts on the study and control sub-basins. As it was highly improbable that the Parishan Lake could be dried up in less than 10 years due to climate change, other affecting factors were also addressed. The findings indicated that excessive groundwater exploitation (as the key factor) increased dryness in the Parishan Lake sub-basin.

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Section: Resultssupporting

confidence: 92%

Phase space mapping of pivotal climatic and non-climatic elements affecting basin’ drought

Rahmani

Fattahi

2021

Arab J Geosci

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“…This area is located in the direction of east and northeast wind, which is predominant in spring and summer, causing dust particles transfer to Isfahan. If the necessary measures are not taken to regenerate this wetland, this area can be one of the big dust sources of Isfahan Province and a threat for the human and the environment in the area (Abbasali, Ebrahimi Khusfi, Khosroshahi, & Ghazavi, 2016; Mousaei Sanjerehei & Rundel, 2016).…”

Section: Resultsmentioning

confidence: 99%

Remote sensing‐based biological and nonbiological indices for evaluating desertification in Iran: Image versus field indices

Jafari

Abedi

2021

Land Degrad Dev

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Mapping and monitoring of the complex process of desertification based on ground data in broad arid and semiarid areas faces basic limitations. Therefore, the purpose of the present study was to propose a new method for mapping this phenomenon in central Iran using biological and nonbiological (BNB) indices of remote sensing products from 2003 to 2016. For this purpose, BNB indices including normalized difference vegetation index, land surface temperature, temperature vegetation dryness index, precipitation, evapotranspiration, net primary production, rain use efficiency (RUE), aridity index, and slope were extracted using MOD13A2, MOD11A2, PERSIANN-CDR, and SRTM products. After calibration and normalization of indices, they were combined using fuzzy logic and gamma operator and the combined 2003 map was validated by MEDALUS model map prepared based on ground data in 2003 using Pearson correlation and error matrix. Results showed more than 70% correlation (p < .001) as well as overall accuracy and kappa coefficient of more than 70% and 0.5 between remote sensing-based and MEDALUS-based desertification maps.According to the 2003 and 2016 maps, desertification classes including low, moderate, severe, and very severe changed from 11.9, 49.8, 34, and 4.1% to 11.11, 43.21, 40.43, and 5.24%, respectively, which indicate increasing trend of desertification in the region. The findings demonstrate the high capability of proposed method to map and monitor desertification classes. Therefore, it can be used to update existing desertification models and to report desertification condition and its positive and negative trends at local, national, and international levels.

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“…Floodplains exist worldwide, but they are in threat because of global climate change, the overuse of natural resources and, anthropogenic exploitation (Sanjerehei and Rundel 2017). It faces the exploitation of wood for rewood production, housing in oodplains, pasture formation, water catchment, hydroelectric plants, agricultural drainage (Wittmann et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Flood as a fine scale driver of both floristic and functional differentiation in a ripariansystem

Miranda

Coelho

Araújo

et al. 2022

Preprint

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Flood forests are vegetation subject to seasonal floods. Situated in flood plains, they are systems under continuous changes due to the pulses of flooding, following the watercourse. Although these are singular ecosystems, there are little publications that report the floristic structure in floodplains, especially in Southeastern Brazil. This study aimed to characterize the composition, structure and diversity of the arboreal community in a flooding gradient, comparing them with the non-flood adjacent formations, at the mouth of Paracatu River, a tributary of São Francisco River, Minas Gerais, Brazil. For the structural survey of the arboreal community, we used the plot method, installed on both sides of Paracatu River. The individuals were identified at the species level. We sampled 1,276 individuals belonging to 85 species and 32 families. The Shannon Index (H`) regarding to the total sampling was of 3.40 nat.ind, with Pielou evenness index (J`) of 0.76. In terms of species importance, the six most important species comprised 46% of the total index of importance value. By means of similarity analysis, it was possible to verify the grouping of species along the ecounits, demonstrating the substitution of species along habitats, resulted of the temporal difference of the flooding in the environments. In conclusion, the flooding regimes, frequency and intensity determine the ecology of the river plains.

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The future of Iranian wetlands under climate change

Cited by 15 publications

References 29 publications

Phase space mapping of pivotal climatic and non-climatic elements affecting basin’ drought

Phase space mapping of pivotal climatic and non-climatic elements affecting basin’ drought

Remote sensing‐based biological and nonbiological indices for evaluating desertification in Iran: Image versus field indices

Flood as a fine scale driver of both floristic and functional differentiation in a ripariansystem

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