Estimation of predictability of agrophytocenoses productivity on the basis of mathematical modeling, field experiments and satellite measurements

Estimation of predictability of agrophytocenoses productivity was made by comparing the results of investigation of a mathematical model, field experiments and satellite measurements. The mathematical model of the seasonal dynamics of agrophytocenoses productivity was built with account of air temperature. For model investigation the coefficients were used that were calculated on the basis of the results of field experiments conducted in the Republic of Khakassia. The objects of the research were agricultural crops (wheat, oats). The results of satellite measurements (NDVI dynamics), and theoretical and experimental results of the seasonal dynamics of plant total biomass proved to be quantitatively consistent

Метод оценки многолетней динамики NDVI на территории Красноярского края по спутниковым данным MODIS/Terra

This article is devoted to development of a method for assessing NDVI dynamics in northern territories and analysis of NDVI dynamics of vegetation on the territory of the Krasnoyarsk region using MODIS/Terra satellite data for the period (2000–2020). Spatial distribution map of average annual vegetation index NDVI has been made, indicating five latitudinal sections through the territory of the Krasnoyarsk region: the coordinates (latitude from 52˚ N to 76˚ N, longitude from 91˚ E to 95˚ E). Latitudinal variability of NDVI index for 20 years of measurements has been studied. Heterogeneity of long-term dynamics of vegetation has been discovered depending on the latitude of the studied territories. Efficiency of the suggested method for identifying long-term NDVI trends has been shown. A positive NDVI response of the vegetation cover of northern territories of the Krasnoyarsk region to climatic changes over the last 5 years has been revealedРабота посвящена разработке метода оценки динамики NDVI на северных территориях и анализу динамики NDVI растительности на территории Красноярского края по спутниковым данным MODIS/Terra за период (2000–2020 гг.). Построена карта пространственного распределения среднегодового вегетационного индекса NDVI с указанием пяти широтных разрезов через территорию Красноярского края: координаты (широта от 52˚ с.ш. до 76˚ с.ш., долгота от 91˚ в.д. до 95˚ в.д.). Исследована широтная изменчивость индекса NDVI за 20 лет измерений. Выявлена неоднородность многолетней динамики растительности в зависимости от широты исследуемых районов. Показана работоспособность предложенного метода для выявления многолетних трендов NDVI. Выявлен положительный отклик NDVI растительного покрова северных территорий Красноярского края на климатические изменения за последние 5 ле

CropPol: a dynamic, open and global database on crop pollination

Seventy five percent of the world's food crops benefit from insect pollination. Hence, there has been increased interest in how global change drivers impact this critical ecosystem service. Because standardized data on crop pollination are rarely available, we are limited in our capacity to understand the variation in pollination benefits to crop yield, as well as to anticipate changes in this service, develop predictions, and inform management actions. Here, we present CropPol, a dynamic, open and global database on crop pollination. It contains measurements recorded from 202 crop studies, covering 3,394 field observations, 2,552 yield measurements (i.e. berry weight, number of fruits and kg per hectare, among others), and 47,752 insect records from 48 commercial crops distributed around the globe. CropPol comprises 32 of the 87 leading global crops and commodities that are pollinator dependent. Malus domestica is the most represented crop (32 studies), followed by Brassica napus (22 studies), Vaccinium corymbosum (13 studies), and Citrullus lanatus (12 studies). The most abundant pollinator guilds recorded are honey bees (34.22% counts), bumblebees (19.19%), flies other than Syrphidae and Bombyliidae (13.18%), other wild bees (13.13%), beetles (10.97%), Syrphidae (4.87%), and Bombyliidae (0.05%). Locations comprise 34 countries distributed among Europe (76 studies), Northern America (60), Latin America and the Caribbean (29), Asia (20), Oceania (10), and Africa (7). Sampling spans three decades and is concentrated on 2001-05 (21 studies), 2006-10 (40), 2011-15 (88), and 2016-20 (50). This is the most comprehensive open global data set on measurements of crop flower visitors, crop pollinators and pollination to date, and we encourage researchers to add more datasets to this database in the future. This data set is released for non-commercial use only. Credits should be given to this paper (i.e., proper citation), and the products generated with this database should be shared under the same license terms (CC BY-NC-SA). This article is protected by copyright. All rights reserved

Single gene locus changes perturb complex microbial communities as much as apex predator loss

Many bacterial species are highly social, adaptively shaping their local environment through the production of secreted molecules. This can, in turn, alter interaction strengths among species and modify community composition. However, the relative importance of such behaviours in determining the structure of complex communities is unknown. Here we show that single-locus changes affecting biofilm formation phenotypes in Bacillus subtilis modify community structure to the same extent as loss of an apex predator and even to a greater extent than loss of B. subtilis itself. These results, from experimentally manipulated multitrophic microcosm assemblages, demonstrate that bacterial social traits are key modulators of the structure of their communities. Moreover, they show that intraspecific genetic variability can be as important as strong trophic interactions in determining community dynamics. Microevolution may therefore be as important as species extinctions in shaping the response of microbial communities to environmental change

CropPol: a dynamic, open and global database on crop pollination

This is the final version. Available from Wiley via the DOI in this record The original dataset (v1.1.0) of the CropPol database can be accessed from the ECOLOGY repository. Main upgrades of these datasets will be versioned and deposited in Zenodo (DOI: 10.5281/zenodo.5546600)Data availability. V.C. Computer programs and data-processing algorithms: The algorithms used in deriving, processing, or transforming data can be accessed in the DataS1.zip file and the Zenodo repository (DOI: 10.5281/zenodo.5546600). V.D. Archiving: The data is archived for long-term storage and access in Zenodo (DOI: 10.5281/zenodo.5546600)Seventy five percent of the world's food crops benefit from insect pollination. Hence, there has been increased interest in how global change drivers impact this critical ecosystem service. Because standardized data on crop pollination are rarely available, we are limited in our capacity to understand the variation in pollination benefits to crop yield, as well as to anticipate changes in this service, develop predictions, and inform management actions. Here, we present CropPol, a dynamic, open and global database on crop pollination. It contains measurements recorded from 202 crop studies, covering 3,394 field observations, 2,552 yield measurements (i.e. berry weight, number of fruits and kg per hectare, among others), and 47,752 insect records from 48 commercial crops distributed around the globe. CropPol comprises 32 of the 87 leading global crops and commodities that are pollinator dependent. Malus domestica is the most represented crop (32 studies), followed by Brassica napus (22 studies), Vaccinium corymbosum (13 studies), and Citrullus lanatus (12 studies). The most abundant pollinator guilds recorded are honey bees (34.22% counts), bumblebees (19.19%), flies other than Syrphidae and Bombyliidae (13.18%), other wild bees (13.13%), beetles (10.97%), Syrphidae (4.87%), and Bombyliidae (0.05%). Locations comprise 34 countries distributed among Europe (76 studies), Northern America (60), Latin America and the Caribbean (29), Asia (20), Oceania (10), and Africa (7). Sampling spans three decades and is concentrated on 2001-05 (21 studies), 2006-10 (40), 2011-15 (88), and 2016-20 (50). This is the most comprehensive open global data set on measurements of crop flower visitors, crop pollinators and pollination to date, and we encourage researchers to add more datasets to this database in the future. This data set is released for non-commercial use only. Credits should be given to this paper (i.e., proper citation), and the products generated with this database should be shared under the same license terms (CC BY-NC-SA). This article is protected by copyright. All rights reserved.OBServ Projec

Part and Tool Flow Management in Multi-Cell Flexible Manufacturing System

Simulation techniques have been proven as reliable and powerful tools in the design, development, evaluation and operation of manufacturing systems. The following paper presents a simulation-based work done for the part and tool flow management modeling in a multi-cell flexible manufacturing system (FMS). The objective of this research was to develop a simulation model which could analyze the system in detail, and provide a basis for analyzing the effects of part and tooling strategies on major cell performance measures. An overview of the system is given and an example application is presented to illustrate how the part and tool flow management simulation design system operates.

Investigation of Housing Preferences in View of the Housing Market Dynamics in Doha Metropolitan

Since the 2000s, Doha has gone through enormous economic growth and urbanization processes. The massive migration inflows have suggested particular housing preferences that are driven by the demographic and lifestyle diversities of the multicultural population. Housing preferences of the multicultural population are defined in terms of housing location, cost, and typology. The paper aims to study housing preferences in view of the housing market dynamics in order to recommend future actions for housing planning and expansion. It focuses on the period from 2000 to 2017 where rapid urban development took place in Doha metropolitan considering cultural, sporting, economic, real estate, and political incidents. The methodological approach includes: questionnaire survey of housing preferences, and survey of the perceptions of housing market experts. The paper defines the major shifts in the housing market based on: the sporting events, construction boom, and real-estate boom. It will discuss solutions to reduce the gap between housing supply and demand. Also, it will conclude actions for future housing expansion based on the recommendations by key market experts towards a sustainable local economic growth