The optimized Maxent model reveals the pattern of distribution and changes in the suitable cultivation areas for being driven by climate change.

Ecol Evol

Qinghai Academy of Animal and Veterinary Sciences, Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Key Laboratory of Superior Forage Germplasm in the Qinghai-Tibetan Plateau, Qinghai University Xining Qinghai China.

Published: July 2024

AI Article Synopsis

  • The text discusses the importance of a drought-resistant shrub in Northern China's desert areas, highlighting its role in desert rehabilitation and afforestation efforts using the Maxent model for predictive analysis.
  • The study identifies environmental factors limiting the shrub's distribution and projects suitable planting areas under current and future climate scenarios, revealing a potential shift towards higher latitudes and further desertification.
  • Notably, while the total suitable planting area covers 15.45% of China's land, future changes indicate a decrease in moderately and less suitable habitats, emphasizing the need for the exploration and utilization of the shrub's genetic resources.

Article Abstract

, a drought-resistant shrub, is widely distributed and plays a crucial role in the northern deserts of China. It is a key species for desert rehabilitation and afforestation efforts. Using the Maxent model to predict suitable planting areas for is an important strategy for combating desertification. With 184 occurrence points of and 13 environmental variables, the optimized Maxent model has identified the main limiting factors for its distribution. Distribution patterns and variation trends of were projected for current and future climates (2030s, 2050s, 2070s, and 2090s) and different scenarios (ssp_126, ssp_370, and ssp_585). Results show that setting parameters to RM (regulation multiplier) = 4 and FC (feature combination) = LQHPT yields a model with good accuracy and high reliability. Currently, is primarily suitable for desert control in eight provinces and autonomous regions, including Inner Mongolia, Xinjiang, Qinghai, and Ningxia. The total suitable planting area is 148.80 × 10 km, representing 15.45% of China's land area. Precipitation (Precipitation of the wettest month, Precipitation of the warmest quarter, and Annual precipitation) and Ultraviolet-B seasonality are the primary environmental factors limiting the growth and distribution of . Mean temperature of the warmest quarter is the primary factor driving changes in the distribution of suitable areas for under future climate scenarios. In future climate scenarios, the suitable planting area of will shrink, and the distribution center will shift towards higher latitude, potentially indicate further desertification. The area of highly suitable habitat has increased, while moderately and less suitable habitat areas have decreased. Increased precipitation within 's water tolerance range is favorable for its growth and reproduction. With changes in the suitable cultivation area for , priority should be given to exploring and utilizing its germplasm resources. Introduction and cultivation can be conducted in expanding regions, while scientifically effective measures should be implemented to protect germplasm resources in contracting regions. The findings of this study provide a theoretical basis for addressing desertification resulting from climate change and offer practical insights for the development, utilization, introduction, and cultivation of germplasm resources.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11255383PMC
http://dx.doi.org/10.1002/ece3.70015DOI Listing

Publication Analysis

Top Keywords

maxent model
12
suitable planting
12
germplasm resources
12
suitable
9
optimized maxent
8
changes suitable
8
suitable cultivation
8
climate change
8
planting area
8
warmest quarter
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!