Dynamic Responses on Spatio-Temporal Variation and Climate Change Derived from GIMMS NDVI 3g+ (1982-2015) in Shendong Coalfield

Author(s):  
Yang Shun ◽  
Ma Chao ◽  
Cui Zhenzhen ◽  
Huang Shanshan
2020 ◽  
Vol 130 (1) ◽  
pp. 101-113
Author(s):  
Isabelle R Onley ◽  
Janet L Gardner ◽  
Matthew R E Symonds

Abstract Allen’s rule is an ecogeographical pattern whereby the size of appendages of animals increases relative to body size in warmer climates in order to facilitate heat exchange and thermoregulation. Allen’s rule predicts that one consequence of a warming climate would be an increase in the relative size of appendages, and evidence from other bird species suggests that this might be occurring. Using measurements from museum specimens, we determined whether spatio-temporal variation in bills and legs of Australian Pachycephalidae species exhibits within-species trends consistent with Allen’s rule and increases in temperature attributable to climatic warming. We conducted regression model analyses relating appendage size to spatio-temporal variables, while controlling for body size. The relative bill size in four of the eight species was negatively associated with latitude. Tarsus length showed no significant trends consistent with Allen’s rule. No significant increases in appendage size were found over time. Although bill size in some species was positively correlated with warmer temperatures, the evidence was not substantial enough to suggest a morphological response to climatic warming. This study suggests that climate change is not currently driving adaptive change towards larger appendages in these species. We suggest that other adaptive mechanisms might be taking place.


2014 ◽  
Vol 198-199 ◽  
pp. 285-293 ◽  
Author(s):  
J.M. Fitchett ◽  
S.W. Grab ◽  
D.I. Thompson ◽  
G. Roshan

2016 ◽  
Vol 13 (1) ◽  
pp. 83-94 ◽  
Author(s):  
Ming-jun Ding ◽  
Lan-hui Li ◽  
Yong Nie ◽  
Qian Chen ◽  
Yi-li Zhang

2019 ◽  
Vol 11 (10) ◽  
pp. 1254 ◽  
Author(s):  
Liu Liu ◽  
Qiankun Niu ◽  
Jingxia Heng ◽  
Hao Li ◽  
Zongxue Xu

The dry-wet transition is of great importance for vegetation dynamics, however the response mechanism of vegetation variations is still unclear due to the complicated effects of climate change. As a critical ecologically fragile area located in the southeast Qinghai-Tibet Plateau, the Yarlung Zangbo River (YZR) basin, which was selected as the typical area in this study, is significantly sensitive and vulnerable to climate change. The standardized precipitation evapotranspiration index (SPEI) and the normalized difference vegetation index (NDVI) based on the GLDAS-NOAH products and the GIMMS-NDVI remote sensing data from 1982 to 2015 were employed to investigate the spatio-temporal characteristics of the dry-wet regime and the vegetation dynamic responses. The results showed that: (1) The spatio-temporal patterns of the precipitation and temperature simulated by the GLDAS-NOAH fitted well with those of the in-situ data. (2) During the period of 1982–2015, the whole YZR basin exhibited an overall wetting tendency. However, the spatio-temporal characteristics of the dry-wet regime exhibited a reversal phenomenon before and after 2000, which was jointly identified by the SPEI and runoff. That is, the YZR basin showed a wetting trend before 2000 and a drying trend after 2000; the arid areas in the basin showed a tendency of wetting whereas the humid areas exhibited a trend of drying. (3) The region where NDVI was positively correlated with SPEI accounted for approximately 70% of the basin area, demonstrating a similar spatio-temporal reversal phenomenon of the vegetation around 2000, indicating that the dry-wet condition is of great importance for the evolution of vegetation. (4) The SPEI showed a much more significant positive correlation with the soil water content which accounted for more than 95% of the basin area, implying that the soil water content was an important indicator to identify the dry-wet transition in the YZR basin.


2021 ◽  
Vol 16 (1) ◽  
pp. 014041
Author(s):  
Xiao-Chen Yuan ◽  
Nan Zhang ◽  
Wei-Zheng Wang ◽  
Yi-Ming Wei

CATENA ◽  
2019 ◽  
Vol 172 ◽  
pp. 324-334 ◽  
Author(s):  
Amobichukwu C. Amanambu ◽  
Lanhai Li ◽  
Christiana N. Egbinola ◽  
Omon A. Obarein ◽  
Christophe Mupenzi ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document