Predicted Disappearance of Cephalantheropsis obcordata in Luofu Mountain Due to Changes in Rainfall Patterns

نویسندگان

  • Xin-Ju Xiao
  • Ke-Wei Liu
  • Yu-Yun Zheng
  • Yu-Ting Zhang
  • Wen-Chieh Tsai
  • Yu-Yun Hsiao
  • Guo-Qiang Zhang
  • Li-Jun Chen
  • Zhong-Jian Liu
چکیده

BACKGROUND In the past century, the global average temperature has increased by approximately 0.74°C and extreme weather events have become prevalent. Recent studies have shown that species have shifted from high-elevation areas to low ones because the rise in temperature has increased rainfall. These outcomes challenge the existing hypothesis about the responses of species to climate change. METHODOLOGY/PRINCIPAL FINDINGS With the use of data on the biological characteristics and reproductive behavior of Cephalantheropsis obcordata in Luofu Mountain, Guangdong, China, trends in the population size of the species were predicted based on several factors. The response of C. obcordata to climate change was verified by integrating it with analytical findings on meteorological data and an artificially simulated environment of water change. The results showed that C. obcordata can grow only in waterlogged streams. The species can produce fruit with many seeds by insect pollination; however, very few seeds can burgeon to become seedlings, with most of those seedlings not maturing into the sexually reproductive phase, and grass plants will die after reproduction. The current population's age pyramid is kettle-shaped; it has a Deevey type I survival curve; and its net reproductive rate, intrinsic rate of increase, as well as finite rate of increase are all very low. The population used in the artificial simulation perished due to seasonal drought. CONCLUSIONS The change in rainfall patterns caused by climate warming has altered the water environment of C. obcordata in Luofu Mountain, thereby restricting seed burgeoning as well as seedling growth and shortening the life span of the plant. The growth rate of the C. obcordata population is in descending order, and models of population trend predict that the population in Luofu Mountain will disappear in 23 years.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

شناسایی الگوهای سینوپتیکی پدید آورنده بارش های سنگین حوضه آبخیز طالقان در استان البرز

Classifying daily climate circulation patterns has always been considered by climatologists. Investigating climate changes such as rainfall and the temperature in a same single time and place suggests that these changes are strongly influenced by atmospheric circulation patterns. Regarding so, climate changes, known as variables here, such as rainfall, temperature, and other related phenomen...

متن کامل

Analysis of synoptic - dynamic weather Changes spring precipitation Comprehensive Iran

Introduction: The main feature of Iran's rainfall is their variability; in fact, changes in rainfall are due to changes in their producing factors. The study of rainfall changes in the country showed that the spatial variations of precipitation from west to east and north to south decreased and these changes are well-coordinated with Iran's major rough nesses. The highest rainfall of the southe...

متن کامل

Dynamics of habitat changes as a result of climate change in Zagros Mountains Range (Iran), a case study on Amphibians

Climate change is currently considered a serious threat for many species and recognized as one of the most important factors in the global biodiversity loss. Among animal groups, amphibians are known to be among the most sensitive groups of vertebrates to climate change due to their inability to travel long distances, and mountain habitat species are more exposed to climate change pressures tha...

متن کامل

الگــوهای فضــایی اهمیـت تــداوم بــارش ایــران

Iran is located in dry zone of mid-latitude in which the mean rainfall is 250 mm and it has dramatic tempo-spatial changes. Rainfalls with short persistency are of characteristics of dry regions and it is also tangible in Iran. However, Iran’s rainfalls persistency ranges from 1 to 45 days and have dramatic tempo-spatial changes, but the maximum amount and days of rainfalls are supplied by rain...

متن کامل

Rainfall warning Based on indexs teleconnection, Synoptic Patterns of Atmospheric Upper Levels and Climatic elements a case study of Karoun basin

Rainfall prediction plays an important role in flood management and flood alert. With rainfall information, it is possible to predict the occurrence of floods in a given area and take the necessary measures. Due to the fact that the three months of January, February and March are most floods and most precipitation is occurring this quarter, this study aimed to investigate the factors affecting ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 7  شماره 

صفحات  -

تاریخ انتشار 2012