Assessment of the spatial variability in Tall wheatgrass forage using LANDSAT 8 satellite imagery to delineate potential management zones

Little information is available on the degree of within-field variability of potential production of Tall wheatgrass (Thinopyrum ponticum) forage under unirrigated conditions. The aim of this study was to characterize the spatial variability of the accumulated biomass (AB) without nutritional limitations through vegetation indexes, and then use this information to determine potential management zones. A 27-×-27-m grid cell size was chosen and 84 biomass sampling areas (BSA), each 2 m(2) in size, were georeferenced. Nitrogen and phosphorus fertilizers were applied after an initial cut at 3 cm height. At 500 °C day, the AB from each sampling area, was collected and evaluated. The spatial variability of AB was estimated more accurately using the Normalized Difference Vegetation Index (NDVI), calculated from LANDSAT 8 images obtained on 24 November 2014 (NDVInov) and 10 December 2014 (NDVIdec) because the potential AB was highly associated with NDVInov and NDVIdec (r (2) = 0.85 and 0.83, respectively). These models between the potential AB data and NDVI were evaluated by root mean squared error (RMSE) and relative root mean squared error (RRMSE). This last coefficient was 12 and 15 % for NDVInov and NDVIdec, respectively. Potential AB and NDVI spatial correlation were quantified with semivariograms. The spatial dependence of AB was low. Six classes of NDVI were analyzed for comparison, and two management zones (MZ) were established with them. In order to evaluate if the NDVI method allows us to delimit MZ with different attainable yields, the AB estimated for these MZ were compared through an ANOVA test. The potential AB had significant differences among MZ. Based on these findings, it can be concluded that NDVI obtained from LANDSAT 8 images can be reliably used for creating MZ in soils under permanent pastures dominated by Tall wheatgrass.

Evaluation of DUALEM, OptRx and Grassmaster II sensors for monitoring the spatial variability and the temporal stability of a Mediterranean pasture

Site-specific management (SSM) is a form of precision agriculture whereby decisions on resource application and agronomic practices are improved to better match soil and crop requirements as they vary in the field. SSM enables the identification of regions (homogeneous management zones) within the area delimited by field boundaries. These subfield regions constitute areas that have similar permanent characteristics. Traditional soil and pasture sampling and the necessary laboratory analysis are time-consuming, labour-intensive and cost prohibitive, not viable from a SSM perspective because it needs a large number of soil and pasture samples in order to achieve a good representation of soil properties, nutrient levels and pasture quality and productivity. The main objective of this work was to evaluate technologies which have potential for monitoring aspects related to spatial and temporal variability of soil nutrients and pasture green and dry matter yield (respectively, GM and DM, in kg/ha) and support to decision making for the farmer. Three types of sensors were evaluated in a 7ha pasture experimental field: an electromagnetic induction sensor (“DUALEM 1S”, which measures the soil apparent electrical conductivity, ECa), an active optical sensor ("OptRx®", which measures the NDVI, “Normalized Difference Vegetation Index”) and a capacitance probe ("GrassMaster II" which estimates plant mass). The results indicate the possibility of using a soil electrical conductivity probe as, probably, the best tool for monitoring not only some of the characteristics of the soil, but also those of the pasture, which could represent an important help in simplifying the process of sampling and support SSM decision making, in precision agriculture projects. On the other hand, the significant and very strong correlations obtained between capacitance and NDVI and between any of these parameters and the pasture productivity shows the potential of these tools for monitoring the evolution of spatial and temporal patterns of the vegetative growth of biodiverse pasture, for identifying different plant species and variability in pasture yield in Alentejo dry-land farming systems. These results are relevant for the selection of an adequate sensing system for a particular application and open new perspectives for other works that would allow the testing, calibration and validation of the sensors in a wider range of pasture production conditions, namely the extraordinary diversity of botanical species that are characteristic of the Mediterranean region at the different periods of the year.

Guia dos peixes de água doce de Portugal Continental

O trabalho desenvolvido insere-se num projecto do FFishGUL, Freshwater Fish Group of the University of Lisbon, que consiste na publicação de um guia ilustrado que reúna e disponibilize informação sobre a fauna ictiológica dulciaquícola de Portugal Continental, dirigido a diversos públicos-alvo. Este guia procura promover o conhecimento sobre as espécies e comunidades piscícolas e ser uma ferramenta técnica de resposta a questões prioritárias em termos de conservação do património natural, gestão dos recursos hídricos e ordenamento do território. O âmbito deste trabalho de mestrado centra-se na ilustração de algumas das espécies de peixes tratadas, investigando e criando pela primeira vez uma representação rigorosa que promova a documentação e identificação destas, como ponto de partida para o trabalho a realizar para a totalidade das espécies a tratar no guia. O trabalho desenvolvido é um trabalho que se pode considerar inédito, na medida em que não existe, tanto quanto sabemos e após extensiva pesquisa bibliográfica neste domínio, nada publicado que se assemelhe aos níveis de rigor, detalhe e coerência entre todo o conjunto apresentado. O resultado pretendido para este guia é o de uma publicação de referência, de grande utilidade técnica e de cuidada comunicação visual. Nesse sentido foi também desenvolvido um layout gráfico, visando uma apresentação cuidada e apelativa dos conteúdos do guia, pretendendo contribuir para uma maior sensibilização dos vários públicos a que se destina; ABSTRACT: This Masters thesis is part of a larger project, developed by FFishGUL, the Freshwater Fish Group of the University of Lisbon, consisting of the edition of an illustrated guide to the freshwater fish of mainland Portugal. This guide aims to create a hitherto nonexistent tool to promote knowledge on Portuguese freshwater fish communities and species and help on the management of water resources and land-use planning. This Masters thesis is centered on the illustration of some of the guide’s fish species, aiming to study and create an accurate representation that will facilitate their correct identification. These illustrations serve as an example of the process that will be followed for the total guide’s species range. The developed work can be regarded as unprecedented, to the extent that there is not, as far as we know, and after extensive bibliographic research in this field, any published work resembling the levels of accuracy, detail and coherence of what is here presented. This guide intends to be a reference publication, of major technical utility and careful visual communication. In this sense a graphic layout was also developed, aiming a careful and attractive presentation of the guide’s contents and contributing to greater awareness of the various target audiences.