The ecological significance of long-distance water transport: short-term regulation, long-term acclimation and the hydraulic costs of stature across plant life forms

2003 ◽  
Vol 26 (1) ◽  
pp. 163-182 ◽  
Author(s):  
M. MENCUCCINI
2000 ◽  
Vol 11 (1) ◽  
pp. 39-42 ◽  
Author(s):  
Numa P. Pavón ◽  
Humberto Hernández-Trejo ◽  
Víctor Rico-Gray

2017 ◽  
Vol 31 (1) ◽  
pp. 84-92
Author(s):  
Celio M. Lopes ◽  
Flora Misaki ◽  
Karina Santos ◽  
Carlos A. P. Evangelista ◽  
Tatiana T. Carrijo ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Jiacheng Dong ◽  
Yuan Chen ◽  
Gang Guan

In recent years, the cost index predictions of construction engineering projects are becoming important research topics in the field of construction management. Previous methods have limitations in reasonably reflecting the timeliness of engineering cost indexes. The recurrent neural network (RNN) belongs to a time series network, and the purpose of timeliness transfer calculation is achieved through the weight sharing of time steps. The long-term and short-term memory neural network (LSTM NN) solves the RNN limitations of the gradient vanishing and the inability to address long-term dependence under the premise of having the above advantages. The present study proposed a new framework based on LSTM, so as to explore the applicability and optimization mechanism of the algorithm in the field of cost indexes prediction. A survey was conducted in Shenzhen, China, where a total of 143 data samples were collected based on the index set for the corresponding time interval from May 2007 to March 2019. A prediction framework based on the LSTM model, which was trained by using these collected data, was established for the purpose of cost index predictions and test. The testing results showed that the proposed LSTM framework had obvious advantages in prediction because of the ability of processing high-dimensional feature vectors and the capability of selectively recording historical information. Compared with other advanced cost prediction methods, such as Support Vector Machine (SVM), this framework has advantages such as being able to capture long-distance dependent information and can provide short-term predictions of engineering cost indexes both effectively and accurately. This research extended current algorithm tools that can be used to forecast cost indexes and evaluated the optimization mechanism of the algorithm in order to improve the efficiency and accuracy of prediction, which have not been explored in current research knowledge.


Nature ◽  
1937 ◽  
Vol 140 (3555) ◽  
pp. 1035-1035

1983 ◽  
Vol 31 (4) ◽  
pp. 291-303
Author(s):  
E.-D. Schulze

Interactions of water and nutrient flows on C relations are explained and typical features of root:shoot ratios in perennial plants including grasses and woody spp. are discussed. In a hydrostable annual crop plant (cowpea) partitioning was controlled by transpiration rate/leaf area and by the capacity of the root for water uptake. For perennial woody spp. the significance of plant architecture and morphology is demonstrated for a situation of competitive growth. (Abstract retrieved from CAB Abstracts by CABI’s permission)


2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Airy Gras ◽  
Montse Parada ◽  
Joan Vallès ◽  
Teresa Garnatje

Abstract Background Catalonia (in the north east of the Iberian Peninsula) is among the most prospected territories in Europe, from the ethnobotanical point of view. The aim of the present paper is to undertake a global analysis in the area considered, including plants, plant life forms, and ethnobotanical data within a physiographic and geographic framework. Methods Data from 21 ethnobotanical prospection areas in Catalonia were collected, analyzed, and compared, with the focus on plant life forms and geographic divisions. Results A total of 824 taxa constitute the Catalan ethnoflora, and 316 of them are shared by the six physiographic zones recognized in Catalonia. When three major geographic areas are considered (Pyrenean, inland, and littoral), 394 taxa have been reported in only one out of the three areas. Concerning life forms, phanerophytes and chamaephytes together, i.e., those taxa present all through the year, are the most cited (37.12%). Conclusions This first study constitutes a new approach to ethnobotanical data analysis. The results show the particular importance of plants with a large distribution area and plants with available biomass throughout the year. Apart from this, other kind of plants, e.g., those present in only one territory, are of interest for its originality and sometimes for the local significance.


Sign in / Sign up

Export Citation Format

Share Document