Mehri Dinarvand; Mohammad Fayaz; Hashem Keneshlo; Kourosh Behnamfar; Sajad Alimahmodi sarab; farhad khaksarian
Volume 29, Issue 1 , February 2022, , Pages 99-111
Abstract
Measuring the diversity and identifying plant vegetation traits and functional groups and classifying them, in addition to helping to accurately identify the vegetative capacity of the area, helps us to understand the vegetation response of the area to disturbances and presence. Potentially resistant ...
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Measuring the diversity and identifying plant vegetation traits and functional groups and classifying them, in addition to helping to accurately identify the vegetative capacity of the area, helps us to understand the vegetation response of the area to disturbances and presence. Potentially resistant species with similar or invasive traits help. The purpose of this study was to investigate and evaluate the vegetative status of the region, the trend of changes and evaluation of the second sequence of dust centers in Khuzestan after planting seedlings in different ways. Functional groups (PFTs) were used. To evaluate the changes in the vegetation of the area by field survey, 15 transects of 100 meters with distances of 50 meters were systematically randomly selected (the first transect was randomly selected and the rest with a defined distance of 50 meters). Due to the uniformity of plant species composition and the absence of environmental effects, a total of 180 fixed plots with dimensions of 1 square meter (location recording with GPS device) were installed. The results of a recent study in three areas of the dust center in the southeast of Ahvaz showed that in selected areas, various irrigation methods along with rainfall will cause significant changes in the percentage of cover (frequency) and the number of species from 2017 to 2020. Functional groups in the Tovayel region with surface irrigation (Faro) In 2020, nine groups were identified, in Bagan region with tanker irrigation and hole digging with seven excavators, and in Hanitieh region with tanker irrigation and hole digging seven functional groups. The results of T-test analysis also showed that there is a significant difference between the average of the two values of all indicators, including the diversity of Shannon and Simpson in March 2017 and March 2020 for all three regions so diversity indicators raised since number of species and cover increased.
Mohammad Fayaz
Volume 10, Issue 3 , September 2019, , Pages 289-300
yahya parvizi; Mohammad Qeytouri; Reza Bayat; Alireza Shadmani; Afshin Partovi
Volume 25, Issue 2 , August 2018, , Pages 310-323
Abstract
This research was conducted to evaluate the potential of different rangeland planting practices for carbon sequestration in various climatic and geographical regions of the country. For this purpose, the key sites of rangeland planting practices were selected in the Lorestan, ...
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This research was conducted to evaluate the potential of different rangeland planting practices for carbon sequestration in various climatic and geographical regions of the country. For this purpose, the key sites of rangeland planting practices were selected in the Lorestan, Fars, Kermanshah, Khorasan Razavi, Mazandaran, Kordestan, Kerman, Markazi, and Esfahan. Then, the characteristics of the sites selected were recorded and sampling of soil, aerial biomass, and root was performed in a random-systematic manner. The results showed that rangeland planting practices in the semi-arid forests of central Zagros slopes had the highest carbon sequestration capacity. The seeding and pit-seeding of perennial legumes and grasses such as festuca, alfalfa, sainfoin and onobrichis could sequester up to 17.4 to 80 tons of carbon per hectare. The contribution of soil in carbon sequestration was at least 93 percent of the total carbon stock of the study area. Rangeland planting practices together with exclosure caused to increased carbon sequestration up to two times. In these areas, pit-seeding was more successful than the other practices. In the Hyrcanian regions, the seeding of perennial legumes and grasses could sequester 18 tons carbon, ranked second after range planting practices in the central Zagros slopes. Rangeland planting practices in arid and semi-arid areas of the central and the eastern part of the country showed little effect on increasing the carbon sequestration capacity compared to other areas mentioned above. The highest carbon sequestration was recorded to be 5.63 and 6.51 tons carbon per hectare for the exclosure rangelands in Kardeh and Shamsabad watershed, respectively. Land use change from dry farming to rangeland in Kardeh watershed resulted in carbon sequestration of 4.7 tons per hectare.
Abbas Hente; Naser Ansari; Mohammad ali Zare chahuki
Volume 15, Issue 3 , January 2008, , Pages 360-368
Abstract
This study was conducted to evaluate Atriplex canescens planting in Zarand-e-Saveh rangelands. For this purpose, a questionnaire about effects of Atriplex planting was prepared to be replied by randomly selected people whose herds use the rangelands. The questions were answered by 35 persons in ...
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This study was conducted to evaluate Atriplex canescens planting in Zarand-e-Saveh rangelands. For this purpose, a questionnaire about effects of Atriplex planting was prepared to be replied by randomly selected people whose herds use the rangelands. The questions were answered by 35 persons in 9 different villages. According to the answers, vegetation cover of the subject rangelands has been improved, the composition of herds is constant, and Atriplex plants are used only for grazing. Most of the herders believe that planting by Atriplex resulted in increase of production and quality of range forage, and consequently dairy products and meat production were boosted. Herders think that the fauna of the area has been changed. Conversely, some herders declare that grazing of Atriplex caused some gut damages, diarrhea and abortion in grazing animals. We believe that the reasons of these problems are early season grazing and also lack of diversity in plant composition (mono culturing).