Plataformas de modelado de servicios ecosistémicos: El norte de la Patagonia como un ejemplo de caso aplicando k.LAB

Facundo J. Oddi; Alba Márquez Torres; João A. Pompeu; Ainhoa Magrach; Stefano Balbi; Ferdinando Villa; Lucas A. Garibaldi

doi:10.25260/EA.23.33.3.0.2257

Authors

Facundo J. Oddi Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina
Alba Márquez Torres Basque Centre for Climate Change-BC3, Parque Científico UPV-EHU. Leioa, España
João A. Pompeu Basque Centre for Climate Change-BC3, Parque Científico UPV-EHU. Leioa, España
Ainhoa Magrach Basque Centre for Climate Change-BC3, Parque Científico UPV-EHU. Leioa, España
Stefano Balbi Basque Centre for Climate Change-BC3, Parque Científico UPV-EHU. Leioa, España
Ferdinando Villa Basque Centre for Climate Change-BC3, Parque Científico UPV-EHU. Leioa, España
Lucas A. Garibaldi Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina

DOI:

https://doi.org/10.25260/EA.23.33.3.0.2257

Keywords:

global change, k.LAB, ARIES, Google Earth Engine, northern Patagonia, carbon sequestration, pollination, tourism

Abstract

In recent decades, technological and methodological advances, such as satellite information, computer power, geospatial analysis and algorithm development have facilitated the search for solutions to complex problems like global change. These advances resulted in the development of platforms for ecosystem services (ES) modeling, which quantifies nature’s benefits and evaluates the effects of human activity. Currently, various platforms are available, each with different characteristics that make them more suitable depending on the context. Among these platforms, k.LAB stands out for being free, open source and based on collaborative science. It also utilizes artificial intelligence to integrate different modeling approaches. One of its main advantages is its versatility in meeting the needs of different users, from programmers and modelers to decision makers. However, k.LAB is relatively unknown among those who quantify and map ES, especially in Latin America. This limits its potential utilization, similar to what has been observed with other freely accessible and open-source tools like R. The adoption of such tools typically requires time to develop tutorials, reviews and discussions in specialized journals. The objective of this paper is to introduce the capabilities of k.LAB within the context of SE modeling platforms. We first provide an overview of ES modeling platforms, highlighting some of the most widely used ones. Then, we delve into the technical and philosophical aspects that characterize k.LAB. Subsequently, we present a case study focused on the northern region of Argentinean Patagonia, where we utilize modeling applications to map three ES (carbon sequestration, pollination, and outdoor recreation) for users with no programming experience. Finally, we outline desirable features of SE modeling platforms and discuss some of the advantages and limitations of k.LAB compared to other alternatives. We hope that this material offers a useful general framework for SE modeling and expands the range of tools available to address global change issues in Argentina and the rest of the countries in the region.

Author Biography

Facundo J. Oddi, Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina

Facundo José Oddi, Universidad Nacional de Río Negro. IRNAD, UNRN-CONICET.

Investigador CONICET y Jefe de Trabajos Prácticos de Estádistica en la UNRN.

Ingeniero Forestal. Facultad de Ciencias Agrarias y Forestales. Universidad Nacional de La Plata.
Doctor en Biología. Universidad Nacional del Comahue.

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