Biomass and carbon content in Galicia (NW Spain) Eucalyptus globulus Labill. stands

Northwestern Spain is one of the most productive forest areas in Europe, being Eucalyptus globulus Labill. the most important species in the area. Stands (pure and mixed) of the species cover more than 400,000 ha, and almost four million cubic metres of timber were produced annually between 2008 and 2012. In this paper we present estimations of total aboveground biomass and the corresponding carbon content in Eucalyptus globulus plantations in Galicia, as useful information for further analysis on carbon sequestration balance. We developed several easy-to-use biomass equations, using data collected from cut trees across Galicia, and these were applied to data from the Third (1997) and Fourth (2011) National Forest Inventories in the region. The fitted model with diameter and height as independent variables showed the best estimates (R2 Adj = 0.9965, RMSE = 6.28). Estimations of current (2011) total aboveground biomass was 34.8 Mt and for the carbon was 15.7 Mt.

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EucaTool®, a cloud computing application for estimating the growth and production of Eucalyptus globulus Labill. plantations in Galicia (NW Spain)

Forest Systems ◽

10.5424/fs/2015243-07865 ◽

2015 ◽

Vol 24 (3) ◽

pp. eRC06 ◽

Cited By ~ 2

Author(s):

Alberto Rojo-Alboreca ◽

Juan D. García-Villabrille ◽

Fernando Pérez-Rodríguez

Keyword(s):

Cloud Computing ◽

Carbon Content ◽

Eucalyptus Globulus ◽

Basal Area ◽

Production Model ◽

Nw Spain ◽

Transition Functions ◽

Dominant Height ◽

Future Production ◽

Blue Gum

Aim of study: To present the software utilities and explain how to use EucaTool®, a free cloud computing application developed to estimate the growth and production of seedling and clonal blue gum (Eucalyptus globulus Labill.) plantations in Galicia (NW Spain).Area of study: Galicia (NW Spain).Material and methods: EucaTool® implements a dynamic growth and production model that is valid for clonal and non-clonal blue gum plantations in the region. The model integrates transition functions for dominant height (site index curves), number of stems per hectare (mortality function) and basal area, as well as output functions for tree and stand volume, biomass and carbon content.Main results: EucaTool® can be freely accessed from any device with an Internet connection, from <a href="http://app.eucatool.com/">http://app.eucatool.com</a>. In addition, useful information about the application is published on a related website: <a href="http://www.eucatool.com/">http://www.eucatool.com</a>.Research highlights: The application has been designed to enable forest stakeholders to estimate volume, biomass and carbon content of forest plantations from individual trees, diameter classes or stand data, as well as to estimate growth and future production (indicating the optimal rotation age for maximum income) by measurement of only four stand variables: age, number of trees per hectare, dominant height and basal area.Keywords: forest management; biomass; seedling; clones; blue gum; forest tool.

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Harmonising, improving and using social and recreational data in National Forest Inventories across Europe

Annals of Forest Science ◽

10.1007/s13595-020-00952-2 ◽

2020 ◽

Vol 77 (3) ◽

Author(s):

Mark A. Atkinson ◽

David M. Edwards ◽

Frank Søndergaard Jensen ◽

Alexander P. N. van der Jagt ◽

Ben R. Ditchburn ◽

...

Keyword(s):

National Level ◽

European Countries ◽

Transport Infrastructure ◽

National Forest ◽

Qualitative Response ◽

Forest Inventories ◽

Recreational Services ◽

National Forest Inventories ◽

Funded Project ◽

General Transport

Abstract Key message National Forest Inventories (NFIs) hold promise for monitoring and valuing of non-productive forest functions, including social and recreational services. European countries use a range of methods to collect social and recreational information within their NFI methodologies. Data collected frequently included general and recreation-specific infrastructure, but innovative approaches are also used to monitor recreational use and social abuse. Context Social and recreational indicators are increasingly valued in efforts to measure the non-productive value of forests in Europe. National Forest Inventories (NFIs) can be used to estimate recreational and social usage of forest land at a national level and relate this use to other biophysical, spatial and topographical features. Nonetheless, there is little information concerning the extent. Aims The study aims to identify the coverage of social and recreational data present in European NFIs including the types of data recorded as part of the NFI methodologies across European countries. It also aims to examine contrasting methods used to record social and recreational data and present recommendations for ways forward for countries to integrate these into NFI practice. Methods A pan-European questionnaire was designed and distributed to 35 counties as part of the EU-funded project Distributed, Integrated and Harmonised Forest Information for Bioeconomy Outlooks (DIABOLO). The questionnaire probed countries on all social and recreational data that was included within NFIs. Qualitative response data was analysed and recoded to measure the extent of social and recreational data recoded in European NFIs both as a function of the number of variable categories per country and the number of countries recording particular variables. Results Thirty-one countries reported at least one social or recreational variable over 12 categories of data. The most frequently recorded variables included ownership, general transport infrastructure and recreation-specific infrastructure. Countries collecting data over many different categories included Switzerland, Great Britain, Czech Republic, Luxemburg and Denmark. Conclusion The study proposes a specific set of indicators, based upon countries with well-developed social and recreational data in their NFIs, which could be used by other countries, and report on the extent to which these are currently collected across Europe. It discusses results and makes a series of recommendations concerning priorities for the inclusion of social and recreational data in European NFIs.

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Forest Aboveground Biomass Estimation and Mapping through High-Resolution Optical Satellite Imagery—A Literature Review

Forests ◽

10.3390/f12070914 ◽

2021 ◽

Vol 12 (7) ◽

pp. 914

Author(s):

Adeel Ahmad ◽

Hammad Gilani ◽

Sajid Rashid Ahmad

Keyword(s):

High Resolution ◽

Literature Review ◽

Satellite Imagery ◽

Aboveground Biomass ◽

Vegetation Indices ◽

Biomass Estimation ◽

Independent Variables ◽

Non Linear ◽

Multiple Variables ◽

Forest Aboveground Biomass

This paper provides a comprehensive literature review on forest aboveground biomass (AGB) estimation and mapping through high-resolution optical satellite imagery (≤5 m spatial resolution). Based on the literature review, 44 peer-reviewed journal articles were published in 15 years (2004–2019). Twenty-one studies were conducted across six continents in Asia, eight in North America and Africa, five in South America, and four in Europe. This review article gives a glance at the published methodologies for AGB prediction modeling and validation. The literature review suggested that, along with the integration of other sensors, QuickBird, WorldView-2, and IKONOS satellite images were most widely used for AGB estimations, with higher estimation accuracies. All studies were grouped into six satellite-derived independent variables, including tree crown, image textures, tree shadow fraction, canopy height, vegetation indices, and multiple variables. Using these satellite-derived independent variables, most of the studies used linear regression (41%), while 30% used linear (multiple regression and 18% used non-linear (machine learning) regression, while very few (11%) studies used non-linear (multiple and exponential) regression for estimating AGB. In the context of global forest AGB estimations and monitoring, the advantages, strengths, and limitations were discussed to achieve better accuracy and transparency towards the performance-based payment mechanism of the REDD+ program. Apart from technical limitations, we realized that very few studies talked about real-time monitoring of AGB or quantifying AGB change, a dimension that needs exploration.

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Integrating data from National Forest Inventories into socio-cultural forest monitoring – a new approach

Scandinavian Journal of Forest Research ◽

10.1080/02827581.2020.1799066 ◽

2020 ◽

Vol 35 (5-6) ◽

pp. 274-285

Author(s):

K. Tessa Hegetschweiler ◽

Christoph Fischer ◽

Marco Moretti ◽

Marcel Hunziker

Keyword(s):

Forest Monitoring ◽

National Forest ◽

New Approach ◽

Forest Inventories ◽

National Forest Inventories

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Aboveground Biomass of Reaumuria soongorica Shrub Effect on Soil Moisture and Nutrient Spatial Distribution in Arid and Semi-Arid Region

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.726-731.3803 ◽

2013 ◽

Vol 726-731 ◽

pp. 3803-3806

Author(s):

Bing Ru Liu ◽

Jun Long Yang

Keyword(s):

Spatial Distribution ◽

Soil Moisture ◽

Moisture Content ◽

Aboveground Biomass ◽

Soil Moisture Content ◽

Plant Biomass ◽

Soil Layer ◽

Soil Nutrient ◽

Desert Plant ◽

Important Species

In order to revel aboveground biomass of R. soongorica shrub effect on soil moisture and nutrients spatial distribution, and explore mechanism of the changes of soil moisture and nutrients, soil moisture content, pH, soil organic carbon (SOC) and total nitrogen (TN) at three soil layers (0-10cm,10-20cm, and 20-40cm) along five plant biomass gradients of R. soongorica were investigated. The results showed that soil moisture content increased with depth under the same plant biomass, and increased with plant biomass. Soil nutrient properties were evidently influenced with plant biomass, while decreased with depth. SOC and TN were highest in the top soil layer (0-10 cm), but TN of 10-20cm layer has no significant differences (P < 0.05). Moreover, soil nutrient contents were accumulated very slowly. These suggests that the requirement to soil organic matter is not so high and could be adapted well to the desert and barren soil, and the desert plant R. soongorica could be acted as an important species to restore vegetation and ameliorate the eco-environment.

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Faktor-Faktor Yang Mempengaruhi Permintaan Daging Sapi Di Kota Pematangsiantar

Jurnal Agrilink ◽

10.36985/agrilink.v9i2.432 ◽

2020 ◽

Vol 2 (2) ◽

pp. 86-94

Author(s):

Wahyunita Sitinjak ◽

Juwita Asyia Tanjung

Keyword(s):

Survey Methods ◽

Descriptive Analysis ◽

Multiple Linear Regression Model ◽

Beef Industry ◽

Independent Variables ◽

Analysis Methods ◽

Beef Demand ◽

Using Data ◽

Beef Prices ◽

Positive Effect

Penelitian ini bertujuan untuk mengetahui perilaku responden sebagai konsumen rumah tangga daging sapi di Kota Pematangsiantar, untuk mengetahui perilaku industri daging sapi di Kota Pematangsiantar serta untuk menganalisis faktor-faktor permintaan daging sapi di Kota Pematangsiantar. Tujuan peneliti 1 dan 2 menggunakan metode survey dan metode analisis deskriptif, Tujuan peneliti yang ke 3 menggunakan Metode analisis data yang digunakan adalah model regresi linier berganda yang diolah dengan program SPSS 22 dengan penguji hipotesis yang terdiri dari koefisien (R2 ), uji F dan uji t. Hasil Penelitian menujukkan bahwa Harga daging sapi, harga daging kambing, dan pendapatan konsumen mampu menjelaskan variabel permintaan sebesar 80,2%. Sedangkan sisanya sebesar 19,8% dijelaskan oleh variabel lain yang tidak disertakan pada persamaan. secara parsial dari ketiga variabel bebas (independent) terdapat dua variabel (harga daging sapi dan harga daging kambing) berpengaruh tidak nyata dan positif terhadap permintaan. Variabel pendapatan konsumen berpengaruh nyata dan positif artinya bahwa setiap penambahan satuan pendapatan konsumen akan menambah permintaan daging sapi. ABSTRACT This study aims to determine the behavior of respondents as consumers of beef households in Pematangsiantar City, to determine the behavior of the beef industry in Pematangsiantar City and to analyze the factors of beef demand in Pematangsiantar City. Researchers goals 1 and 2 use survey methods and descriptive analysis methods, Researchers aim 3 using data analysis methods used is a multiple linear regression model that is processed with the SPSS 22 program with hypothesis testing consisting of coefficients (R2), F test and t test. The results showed that the price of beef, goat meat prices, and consumer income is able to explain the demand variable of 80.2%. While the remaining 19.8% is explained by other variables not included in the equation. partially from the three independent variables, there are two variables (beef prices and mutton prices) that have no significant and positive effect on demand. The variable of consumer income has a significant and positive effect, meaning that each additional unit of consumer income will increase beef demand.

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Intraspecific variation in drought susceptibility in Eucalyptus globulus is linked to differences in leaf vulnerability

Functional Plant Biology ◽

10.1071/fp18077 ◽

2019 ◽

Vol 46 (3) ◽

pp. 286 ◽

Cited By ~ 5

Author(s):

Christopher J. Lucani ◽

Timothy J. Brodribb ◽

Greg Jordan ◽

Patrick J. Mitchell

Keyword(s):

Drought Tolerance ◽

Intraspecific Variation ◽

Eucalyptus Globulus ◽

Forest Tree ◽

Species Variation ◽

Important Species ◽

Phenotypic Differences ◽

Hydraulic Failure ◽

Xylem Vulnerability ◽

Alternative Approach

Understanding intraspecific variation in the vulnerability of the xylem to hydraulic failure during drought is critical in predicting the response of forest tree species to climate change. However, few studies have assessed intraspecific variation in this trait, and a likely limitation is the large number of measurements required to generate the standard ‘vulnerability curve’ used to assess hydraulic failure. Here we explore an alternative approach that requires fewer measurements, and assess within species variation in leaf xylem vulnerability in Eucalyptus globulus Labill., an ecologically and economically important species with known genetic variation in drought tolerance. Using this approach we demonstrate significant phenotypic differences and evidence of plasticity among two provenances with contrasting drought tolerance.

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The distribution of organic carbon in major components of forests located in five life zones of Venezuela

Journal of Tropical Ecology ◽

10.1017/s0266467400010877 ◽

1997 ◽

Vol 13 (5) ◽

pp. 697-708 ◽

Cited By ~ 51

Author(s):

M. Delaney ◽

S. Brown ◽

A. E. Lugo ◽

A. Torres-Lezama ◽

N. Bello Quintero

Keyword(s):

Tropical Forests ◽

Aboveground Biomass ◽

Dead Wood ◽

Clear Trend ◽

Soil C ◽

Forest Inventories ◽

Biomass Components ◽

Life Zone ◽

Data Gap

ABSTRACTOne of the major uncertainties concerning the role of tropical forests in the global carbon cycle is the lack of adequate data on the carbon content of all their components. The goal of this study was to contribute to filling this data gap by estimating the quantity of carbon in the biomass, soil and necromass for 23 long-term permanent forest plots in five life zones of Venezuela to determine how C was partitioned among these components across a range of environments. Aboveground biomass C ranged from 70 to 179 Mg ha−1 and soil C from 125 to 257 Mg ha−1, and they represented the two largest C components in all plots. The C in fine litter (2.4 to 5.2 Mg ha−1), dead wood (2.4 to 21.2 Mg ha−1) and roots (23.6 to 38.0 Mg ha−1) accounted for less than 13% of the total C. The total amount of C among life zones ranged from 302 to 488 Mg ha−1, and showed no clear trend with life zone. In three of the five life zones, more C was found in the dead (soil, litter, dead wood) than in the live (biomass) components (dead to live ratios of 1.3 to 2.3); the lowland moist and moist transition to dry life zones had dead to live ratios of less than one. Results from this research suggest that for most life zones, an amount equivalent to between 20 and 58% of the aboveground biomass is located in necromass and roots. These percentages coupled with reliable estimates of aboveground biomass from forest inventories enable a more complete estimation of the C content of tropical forests to be made.

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Analisis Nisbah dan Angsuran Terhadap Pembiayaan Kredit Usaha Rakyat (KUR) di BriSyariah KCP Genteng Banyuwangi

JPSDa: Jurnal Perbankan Syariah Darussalam ◽

10.30739/jpsda.v1i1.781 ◽

2021 ◽

Vol 1 (1) ◽

pp. 1

Author(s):

Nur Anim Jauhariyah ◽

Ahmad Saiful Amin

Keyword(s):

Data Collection ◽

Small Business ◽

Multiple Regression ◽

Quantitative Approach ◽

Analysis Tool ◽

Independent Variables ◽

Using Data

This study uses a quantitative approach by determining the research sample using data collection techniques obtained from the number of respondents 24 customers. The independent variables of this study are Nisbah (X1) and Installments (X2), while the dependent variable (Y) is Financing using micro small business credit products (KUR) iB. The analysis tool uses multiple regression with the help of SPSS software.The results of the study 1) Significantly the ratio (X1) has an effect on the financing (Y) of the people's business credit (KUR) micro and small iB products; 2) Significantly the installment (X2) has no effect on the financing (Y) of the people's business credit (KUR), micro and small iB; 3) Simultaneously, the ratio (X1) and installments (X2) have a significant effect on the financing (Y) of the iB micro and small business credit (KUR) product at BRISyariah KCP Genteng, Banyuwangi Regency.

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