Spatio-temporal variability of gross primary productivity in moist and dry deciduous plant functional types of Northwest Himalayan foothills of India using temperature-greenness model

2020 ◽  
pp. 1-13
Author(s):  
Ritika Srinet ◽  
Subrata Nandy ◽  
Taibanganba Watham ◽  
Hitendra Padalia ◽  
N. R. Patel ◽  
...  
Author(s):  
Róbert Kun ◽  
Dániel Babai ◽  
András István Csathó ◽  
Csaba Vadász ◽  
Nikoletta Kálmán ◽  
...  

AbstractLocal, adaptive traditional grassland management systems have played a fundamental role in the creation, maintenance and conservation of high nature value (HNV) grasslands. The state of diverse HNV grasslands has deteriorated across Europe in conjunction with changes in various management factors, such as management type and management intensity. To conserve the species-rich vegetation of HNV grasslands and to avoid undesirable shifts in plant functional type dominance, it is important to explore the effects of management factors crucial for nature conservation and to adapt them to local circumstances. In our study, we focus on three of the main factors in the management of valuable meadow steppes in the Great Hungarian Plain region (Central Hungary). We studied management types (mowing, grazing and combined), different levels of herbage removal intensity (low, medium, high) and spatio-temporal complexity (low, medium and high) of grassland management. Altogether 172 plots (1 m × 1 m) were designated in 17 sites. Plant diversity indexes and plant functional types were calculated according to the presence and percentage cover of plant species in the plots. Regarding plant diversity and the dominance of plant functional types, herbage removal intensity and spatio-temporal complexity of management had, for the most part, stronger effects than the type of management. Higher spatio-temporal complexity of management resulted in higher plant diversity, while higher intensity of management led to significantly lower diversity. Proper application of type, intensity and spatio-temporal complexity of management practices (separately and in combination) proved to be determining factors in the long-term maintenance and conservation of diversity and species composition of HNV grasslands.


2020 ◽  
Vol 41 (18) ◽  
pp. 7296-7309 ◽  
Author(s):  
Ritika Srinet ◽  
Subrata Nandy ◽  
Hitendra Padalia ◽  
Surajit Ghosh ◽  
Taibanganba Watham ◽  
...  

Atmosphere ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 148
Author(s):  
Jovan Tadić ◽  
Ian Williams ◽  
Vojin Tadić ◽  
Sébastien Biraud

Modeling hyper-dimensional spatial variability is a complex task from both practical and theoretical standpoints. In this paper we develop a method for modeling hyper-dimensional covariance (variogram) structures using the product-sum covariance model initially developed to model spatio-temporal variability. We show that the product-sum model can be used recursively up to an arbitrarily large number of dimensions while preserving relative modeling simplicity and yielding valid covariance models. The method can be used to model variability in anisotropic conditions with multiple axes of anisotropy or when temporal evolution is involved, and thus is applicable to “full anisotropic 3D+time” situations often encountered in environmental sciences. It requires fewer assumptions than the traditional product-sum modeling approach. The new method also presents an alternative to classical approaches to modeling zonal anisotropy and requires fewer parameters to be estimated from data. We present an example by applying the method in conjunction with ordinary kriging to map photosynthetically-active radiation (PAR) for 2006, in Oklahoma, CA, USA and to explore effects of spatio-temporal variability in PAR on gross primary productivity (GPP).


2020 ◽  
Author(s):  
Utescher, Torsten ◽  
Erdei, Boglarka ◽  
Francois, Louis ◽  
Henrot, Alexandra-Jane ◽  
Mosbrugger, Volker ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document