RESOURCE COMMUNICATION

 

ApkFor©, an Android Open-Source Project for research and technology transfer in forest management

 

Fernando Pérez-Rodríguez

Escola Superior Agrária, Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal.

Centro de Investigação de Montanha, Campus de Santa Apolónia, 5300-253 Bragança, Portugal.

João C. Azevedo

Escola Superior Agrária, Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal.

Centro de Investigação de Montanha, Campus de Santa Apolónia, 5300-253 Bragança, Portugal.

María Menéndez-Miguélez

Grupo de Investigación UVaMOX, Universidad de Valladolid. Avda. de Madrid 50, 34004 Palencia, Spain.

 

Abstract

Aim of the study: To introduce and describe ApkFor©, an Android Open-Source Project to generate basic mobile applications to transfer forest growth and yield models for even-aged stands.

Material and methods: ApkFor© was developed in Android Studio using Java and XML languages integrating transition functions for dominant height and basal area, equations of tree and stand volume and structural models. The project was applied and validated for Pinus pinaster Ait. stands in Northeastern Portugal.

Main results: ApkFor© is an Open-Source project freely available from the Source Force repository: https://sourceforge.net/projects/apkfor/, licensed under the GNU General Public License version 3.0 (GPLv3).

Research highlights: This project has been designed and created to provide the code and promote its re-use and modification to develop simple growth and yield mobile applications in Android, and with it to transfer research results of forest modelling to forest managers. Moreover, an example of application of the compiled code is provided using the models of Pinus pinaster Ait. previously validated for the Northeastern Region of Portugal.

Additional Keywords: Java; growth and yield; dynamic models; Pinus pinaster Ait.; Northeastern Portugal.

Authors' contributions: Conception and design: FPR and MMM. Drafting of the manuscript: FPR, JCA and MMM. Supervision and coordination of the research project: JCA. All authors read and approved the final manuscript.

Citation: Pérez-Rodríguez, F.; Azevedo, J.; Menéndez-Miguélez, M. (2017). Resource communication: ApkFor©, an Android Open-Source Project for research and technology transfer in forest management. Forest Systems, Volume 26, Issue 3, eRC03. https://doi.org/10.5424/fs/2017263-12047

Received: 19 Jul 2017. Accepted: 15 Dec 2017.

Copyright © 2017 INIA. This is an open access article distributed under the terms of the Creative Commons Attribution (CC-by) Spain 3.0 License.

Funding: EU 7th Framework Programme for research, technological development and demonstration (agreement no 613762: SIMWOOD - Sustainable Innovative Mobilisation of Wood).

Competing interests: The authors have declared that no competing interests exist.

Correspondence should be addressed to Fernando Pérez-Rodríguez: fernando.perez@ipb.pt


 

CONTENTS

Abstract

Introduction

Specifications

Project description

Final considerations

ApkFor© license and conditions of use

References

IntroductionTop

The estimation of growing stock, both in terms of volume and biomass, is an essential aspect of forest management (Menéndez-Miguélez et al., 2016). This requires field tree measurements and the development of models and tools such as height growth models and biomass or volume equations, to represent in a simplified way the complexity of forest ecosystem dynamics (Burkhart & Tomé, 2012). Numerous static (Barrio-Anta et al., 2006; Diéguez-Aranda et al., 2006; Menéndez-Miguélez et al., 2014) and dynamic models (Castedo-Dorado et al., 2007; Crecente-Campo, 2008) are now available for different forest species. These models allow managers to simulate forest dynamics and growth, with the prediction of how forests will be at particular times in the future, helping them to make sound decisions regarding sustainable management. This is more likely to occur when models are implemented as user-friendly computer tools providing a diversity of examples of applications (Borges et al., 2014). However, in many cases model transfer between researchers and forest managers is not efficient preventing advanced knowledge and tools to reach those who intervene in forest stand management in practice. According to Larocque et al. (2015), the lack of transfer between these two groups may be due to the fact that researchers dedicated to modelling invest all their time obtaining the model or do not have the capacity to develop models and tools to be transferred to the final users.

The development of mobile applications has increased in recent years (Nagappan & Shihab, 2016) and available integrated development environments, such as Android Studio, make the development of applications easy. This trend has not being observed in forestry where major contributions are still in the form of desktop and cloud applications (Borges et al., 2014). Exceptions include applications for forest fires survey (Liu et al., 2014), forest inventory and mensuration (Molinier et al., 2016; Forest Inventory App, 2017; Forest Metrics, 2017), tree identification (Blanco-Alambiaga, 2015), mushrooms identification (Segarra, 2017) or support participatory agroforestry planning (De Sousa et al., 2015). There are not, however, examples of forest growth and yield Open source Android applications in the literature.

In order to promote the development of forest mobile modelling and management applications and to increase efficiency in transferring knowledge and practical tools from forest modellers to forest managers, we present here an application developed for managers to directly use in the field forest models developed by modellers. Applications designed for mobile devices are simpler and faster than web-based applications and operate without an internet connection, which is a major advantage for forest fieldwork. The objective was to create an Android Open-Source Project (AOSP) that can be replicated, re-used and modified by other programmers to promote the development of mobile applications, transferring growth and yield models in an easy way to forest managers without spending unnecessary time in the development process. Moreover, an example of a compiled project is provided.

SpecificationsTop

The ApkFor© Open-Source Project is a set of files developed in Android Studio that combined the interfaces and procedures required to run a dynamic growth and yield modelling framework. It integrates different transition functions for dominant height (site index curves) and basal area, along with equations of tree and stand volume and structural models to plan thinning operations of different intensity. The program languages used were Java and XML. The compiled example provided as *.apk can be installed in platform Android 2.2 or higher and was translated into three languages: Portuguese, Spanish, and English.

Project descriptionTop

Structure and models

The project was designed to generalize the procedures required to run common growth and yield models for even-age stands. Inputs of key stand level variables were used for the development of a generic library in Java that can be modified easily by changing equations in the code. The variables were Current age (t1), Dominant Height (H0), Number of trees per hectare (N), Basal area (G) and Age to simulate (t2).

Moreover, thanks to the increasing capacity of mobile devices, the developed library has the capability of parametrizing a two–parameter Weibull distribution which is required to estimate tree distribution by size class in thinning operations. The project uses SQLite to save the set-up and options. Create, modify, and delete commands were implemented in the code.

Forms and design

Android projects use xml language to create menus. The forms and menus were designed for simplicity. The elements that make up this menu are:

i)"Start", through which the input screen is accessed,

ii)"Thinning planning", leading to definition of parameters regarding thinning operations (max. number of thinnings, minimum age for the first thinning, thinning frequency, and thinning intensity),

iii)"Options", leading to the screen where language and output options can be selected ,

iv)"Model information", by means of which the sources of equations used in the App can be listed, and

v)"Exit", which closes the application.

The results of simulations are displayed in a table, year by year. These results are presented for the output variables selected by the user and describe the evolution of these parameters in the stand over the simulation period. When thinning is applied, the number of trees, volume and basal area are displayed. Under "Options", it is possible to identify in the table (in yellow) the application of this management practice.

Access

The code and the prototype are available to download from the SourceForge repository (https://sourceforge.net/) with an example titled "ApkFor.apk" that can be installed and run in Android operated mobile devices. The direct link to the repository is https://apkfor.sourceforge.io. SourceForge was used due to its simplicity and reliability.

Example of application

The compiled ApkFor.apk application provided in the repository is an example of how the code can be used in practice. In this example we implemented the Pinus pinaster Ait. models validated for the Northeastern region in Portugal (Pérez-Rodríguez et al., 2016). The resulted application has the main splash screen as shown in Fig. 1 and can produce simulation outputs as shown in Fig. 2.

Figure 1. Main splash screen of the compiled example "ApkFor.apk", composed by a background image, main menu and a direct access button to a "new simulation".

Figure 2. Tabular display of the results of an ApkFor simulation in the compiled example "ApkFor.apk". Thinning is indicated in yellow. "Age" is stand age (yrs), "H0" is dominant stand age (yrs), "N" is tree density (number of trees/ha), "G" is basal area (m2/ha), "VOB" is overbark volume (m3/ha), "Ne" is number of trees extracted (number of trees/ha), "Ve" is volume extracted (m3/ha) and "Ge" is the basal area of the trees extracted (m2/ha).

Final considerationsTop

Computer tools are efficient vehicles for transferring knowledge and models developed in research to practitioners and other final users in forest management. Nowadays, programming languages allow the development of attractive and user-friendly tools that can also be used in the field in mobile devices. Applications for mobile devices have gained importance in recent years due to their ease of use, and differ from developments in the cloud in that they do not require an internet connection, an important aspect in forestry since this type of coverage is often lacking in the working places. The development of generic applications provided as Open Source project favours model transfer in a simple way through reusing and modifying the code and minimizing development costs. Moreover, this kind of developments allows collaborative improvements from several developers. ApkFor© is the first application of this kind in forestry and we expect its use to impact forest management in the Northeast Region of Portugal and other areas.

ApkFor© license and conditions of useTop

ApkFor© is an Android Open-Source Project. It can be redistributed and/or modified under the terms of the GNU General Public License (GPLv3 or higher) as published by the Free Software Foundation (http://www.gnu.org/licenses/). According to the GNU General Public License, ApkFor© is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.


ReferencesTop

Barrio-Anta M, Balboa-Murias MA, Castedo-Dorado F, Diéguez-Aranda U, álvarez-González JG, 2006. An ecoregional model for estimating volume, biomass and carbon pools in maritime pine stands in Galicia (northwestern Spain). Forest Ecol Manage 124: 24-34. https://doi.org/10.1016/j.foreco.2005.10.073

Blanco-Alambiaga J, 2015. Desarrollo de una aplicación móvil para la detección y clasificación de hojas de árboles. http://hdl.handle.net/10251/55166. [27 March 2017].

Borges JG, Nordstrom EM, García-Gonzalo J, Hujala T, Trasobares A, 2014. Computer-based tools for supporting forest management. The experience and the expertise world-wide. Report of Cost Action FP 0804 Forest Management Decision Support Systems (FORSYS). Swedish Univ. of Agricultural Sciences. 503 pp.

Burkhart HE, Tomé M, 2012. Modeling forest trees and stands. Springer Science & Business Media. https://doi.org/10.1007/978-90-481-3170-9

Castedo-Dorado F, Diéguez-Aranda U, álvarez-González JG, 2007. A growth model for Pinus radiata D. Don stands in north-western Spain. Ann Forest Sci 64: 453-465. https://doi.org/10.1051/forest:2007023

Crecente-Campo F, 2008. Modelo de crecimiento de árbol individual para Pinus radiata D. Don en Galicia. Tesis Doctoral. Universidad de Santiago de Compostela. Lugo.

De Sousa K, Detlefsen G, Rivera O, de Melo E, Tobar D, Castaño-Quintero ME, Aristizabal-Correa S, Amores-Contreras F, Castro de Sousa S, Casanoves F, 2015. Using a smartphone app to support participatory agroforestry planning in Central America. Annals of World Forestry Congress (XIV). Durban, South Africa. 9 pp.

Diéguez-Aranda U, Granda-Arias JA, álvarez-Gonzáles JG, Gadow KV, 2006. Site quality curves for birch stands in North-Western Spain. Silva Fennica 40 (4): 631-644. https://doi.org/10.14214/sf.319

Forest Inventory App, 2017. http://www.supergeotek.com/ProductPage_FIA.aspx. [27 March 2017].

Forest Metrics, 2017. http://forestmetrix.com/ [27 March 2017].

Larocque GR, Bhatti J, Arsenault A, 2015. Integrated modelling software platform development for effective use of ecosystem models. Ecol Modell 306: 318-325. https://doi.org/10.1016/j.ecolmodel.2014.08.003

Liu W, Wang S, Zhou Y, Wang L, 2014. An android intelligent mobile terminal application: Field data survey system for forest fires. Natural Hazards 73 (3): 1483-1497. https://doi.org/10.1007/s11069-014-1147-y

Menéndez-Miguélez M, Canga E, álvarez-álvarez P, Majada J, 2014. Stem taper function for sweet chestnut (Castanea sativa Mill.) coppice stands in northwest Spain. Ann Forest Sci 71 (7): 761-770. https://doi.org/10.1007/s13595-014-0372-6

Menéndez-Miguélez M, álvarez-álvarez P, Majada J, Canga E, 2016. Management tools for Castanea sativa coppice stands in northwestern Spain. Bosque 37 (1): 119-133. https://doi.org/10.4067/S0717-92002016000100012

Molinier M, López-Sánchez CA, Toivanen T, Korpela I, Corral-Rivas JJ, Tergujeff R, Häme T, 2016. Relasphone—Mobile and participative in situ forest biomass measurements supporting satellite image mapping. Remote Sens 8 (10): 869. https://doi.org/10.3390/rs8100869

Nagappan M, Shihab E, 2016. Future trends in software engineering research for mobile apps. In: Software Analysis, Evolution, and Reengineering (SANER), 2016 IEEE 23rd Int Conf, Vol. 5, pp: 21-32. https://doi.org/10.1109/SANER.2016.88

Pérez-Rodríguez F, Nunes L, Sil Â, Azevedo J, 2016. FlorNExT®, a cloud computing application to estimate growth and yield of maritime pine (Pinus pinaster Ait.) stands in Northeastern Portugal. Forest Syst 25 (2): eRC08. https://doi.org/10.5424/fs/2016252-08975

Segarra ÀC, 2017. Aplicación Android para clasificar setas presentes en España mediante procesamiento de imagen. Doctoral thesis. Universidad Politécnica, Valencia.




 

 

 



Webpage: www.inia.es/Forestsystems