Abstract

The present study investigates the ecological requirements of Astragalus curvirostris Boiss, with emphasis on determining the ecological factors that affect the distribution of plant species, and the species’ response to changes in ecological factors using a Generalized Additive Model (GAM) in the Iranian Province of Zanjan from 2017 to 2019. Randomized-systematic sampling was used to collect vegetation data. Data analysis was performed using SPSS17 and CANOC4.5 software. The results showed that the growth and development of A. curvirostris change according to environmental factors linked to the composition of the soil and the variety of the other species present. This model is indicative of a competitive limitation along the environmental gradient. By understanding all environmental parameters, the necessary steps could be taken towards planning proper management programs, including rangeland grazing management and determining the proper moment for seed collection, which will result in the conservation, improvement, and restoration of rangelands.

Highlights

  • Prediction models for plant species distribution have a prominent role in monitoring, evaluation, restoration, conservation, and expansion of rangeland ecosystems

  • Seed formation begins from 22 May, and the seed maturing stage continues up to the last 10 days of June, based on the duration of the flowering stage

  • Studying the vegetation revealed that 54.6% of the species present in the A. curvirosweather gradually becomes warmer, and its vegetative growth accelerates from mid-April with the increase of environment temperature

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Summary

Introduction

Prediction models for plant species distribution have a prominent role in monitoring, evaluation, restoration, conservation, and expansion of rangeland ecosystems. Analysis), and CCA (Canonical Correspondence Analysis) [10,11,12,13] Some models such as GLM and GAM are used to determine the likeliness of species presence, and others such as CCA, ANNS, and PCA are used to examine the factors affecting species distribution and the spatial prediction of the habitat suitable for the establishment of the target species [14,15]. Horticulturae 2021, 7, 67 ers such as CCA, ANNS, and PCA are used to examine the factors affecting species distribution and the spatial prediction of the habitat suitable for the establishment of the target. Alavidistribution, and colleagues [18] ofvariable the soil negatively is a parameter that the has presence a positive of effect on B. tomentellus whereas investigated the reaction of beech to environmental variables using a generalized additive this variable negatively affects the presence of A. millefolium.

Geographic Position and Characteristics of the Studied Area
Habitat Characteristics the Studied Area
Methodology
Determining the Growth Stages of the Studied Species
Data Analysis
Results
Vegetation Characteristics of the Studied Region
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The canopy cover percentage of the
The studied species’factors response curve of
Species
Discussion
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