
Relationship between morphological characteristics and production of Artemisia aucheri in mountain rangelands | ||
تحقیقات مرتع و بیابان ایران | ||
Article 4, Volume 29, Issue 2, July 2022, Pages 166-175 PDF (741.31 K) | ||
Document Type: Research Paper | ||
DOI: 10.22092/ijrdr.2022.126757 | ||
Authors | ||
Javad Motamedi* 1; Esmaeil Sheidai Karkaj2; Azizeh Babazadeh3; Morteza Mofidi Chelan2 | ||
1Associate Professor, Rangeland Research Division, Research Institute of Forests and Rangelands, Agricultural Research Education and Extension Organization (AREEO), Tehran, Iran | ||
2Assistant Professor, Department of Range and Watershed Management, Faculty of Agriculture and Natural Resources, Urmia University, Urmia, Iran | ||
3M.Sc. in Rangeland Management, East Azarbaijan Organization of Agriculture – Jahad, Tabriz, Iran | ||
Abstract | ||
One of the objectives in rangeland management is the accurate and rapid determination of forage production to determine grazing capacity. The relationship between forage production and morphological characteristics was investigated in this study. For this purpose, two grazed and non-grazed units were selected in the mountainous rangelands of Nazlouchay, Urmia. In each of them, the morphological characteristics of A. aucheri, as the only dominant plant species that accounts for more than 50% of the plant composition, were measured within 60 one-square-meter plots located along with 100-meter transects in July 2017. After cutting off bases growth, the dry weight of the samples was determined, and its regression relationship with morphological characteristics was examined using hierarchical regression. The results showed that it was possible to estimate A.aucheri production in the unit where the plant bases were not grazed using multiple linear regression models based on diameter, average crown size (D1), collar diameter (D2), and height (H). In the grazed units, where plant bases were grazed in the fall of last year, only the average diameter of the crown (D1) and height (H) was validated with multiple linear regression models, as the best model with RMSE equal to 3.53 and coefficient of 0.52. Due to the relatively good performance of the model and the preference for combining several morphological features in production estimation, separating models into inside and outside the exclosure can play a role in rangeland monitoring and production estimation to calculate grazing capacity and assess the intensity of rangeland utilization. | ||
Keywords | ||
Forage production; regression relationship; structural traits; grazing capacity | ||
References | ||
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