Jean François Mas

• PhD
• Researcher at National Autonomous University of Mexico

Reunión SELPER. https://www.selper.org.mx/conference-on-geoinformation-2025/

Agricultural expansion and intensification are major drivers of global biodiversity loss, endangering natural habitats and ecosystem functions, such as pollination. In this study, we analyze the spatiotemporal dynamics of avocado frontier expansion and intensification from 2011 to 2019 and assess their effects on landscape connectivity, focusing on...

Introduction Despite numerous efforts to define and categorize scientific events, a consensus remains elusive, complicating the understanding and classification of such events. The current study aims to establish clear, consensus-based definitions for various types of scientific events by examining their definitions and purposes from the perspectiv...

El presente libro constituye una ambiciosa recopilación del conocimiento sobre clima urbano en nuestra lengua castellana y refleja el estado del arte en el primer cuarto del siglo xxi en América Latina. Es una compilación sistemática y de acceso libre que constituye desde ya un aporte relevante al conocimiento científico disponible en nuestra regió...

El aumento de las temperaturas dentro de las ciudades es uno de los ejemplos mejor documentados de cambio climático local. Por el contrario, la comunidad científica ha prestado poca atención a las dinámicas del clima en áreas periurbanas. Esto representa un gran reto para la planeación regional, ya que en dichas zonas se encuentran grupos sociales...

Aims: The task of classifying and naming Mexican vegetation types has been undertaken by previous botanists, ecologists, and mapping agencies. However, discrepancies remain due to the lack of criteria and joint efforts from a geographical and botanical perspective. We aim to unravel the complex interactions between climate and vegetation in Mexico...

Antecedentes: Los mapas de bosques perturbados son útiles para identificar afectaciones sobre la biodiversidad y los servicios ecosistémicos. Los métodos que emplean únicamente datos espectrales para detectar las perturbaciones a nivel regional tienen limitaciones. El conocimiento de expertos y el análisis de fragmentación puede mejorar la estimaci...

Irrigated agriculture faces imminent threats, such as escalating water scarcity and climate change impacts. Water scarcity is particularly crucial in countries such as Mexico, where approximately 41% of the land comprises arid and semi-arid zones. The study assesses the quality and consistency of monitoring irrigated agriculture in a municipality o...

The caatinga, a thorny deciduous shrub-arboreal vegetation predominant in the semiarid Northeast Brazil region, has faced chronic anthropogenic disturbance since the arrival of Europeans. Areas experiencing strong anthropogenic pressure and climatic vulnerability are often overlooked in floristic and phytosociological studies, leading to limited kn...

El modelaje espacial de la precipitación es fundamental para entender la distribución de la vegetación silvestre, el crecimiento de las plantas y las consecuencias del cambio climático. Aquí comparamos, para el territorio continental de México, la estimación de alta precipitación anual (≥ 1,500 mm en promedio) de siete capas climáticas digitales di...

Coffee is one of the most important agricultural commodities. Agroforestry systems (AFS) are increasingly used in coffee cultivation because of environmental benefits, adaptability of the systems, and economic profits. However, identifying the spatial distribution of AFS through remote sensing continues to be challenging. The current systematic rev...

El estudio del clima urbano posee no solo un alto valor teórico, sino también práctico, considerando los tremendos desafíos a los que se enfrentan las ciudades del siglo XXI. Las particularidades del clima urbano se intensifican, producto de las fluctuaciones impuestas por el cambio climático, agravando las profundas inequidades ambientales a las q...

Irrigated agriculture requires extensive land areas and consumes high volumes of water. This study aims to determine and analyze the dynamics of irrigated croplands and their water consumption in Guanajuato State, located in the central region of Mexico. Guanajuato is among the Mexican states with the country's most considerable agricultural land e...

The COVID-19 pandemic has strongly impacted the vast majority of countries in the world. As of today (April 12th, 2023), more than 762 million confirmed cases and nearly 6.9 million deaths are considered widely underestimated. During a pandemic, detecting clusters of patients is crucial to allocate resources and aiding decision-making better as eme...

Plant community succession is generally approached with phytosociological methods, but field surveys are time-consuming, expensive, and limited to several of sites. Remote sensing offers an efficient and economical way to analyze vegetation on large extensions and in inaccessible areas. Most studies addressing remote sensing and tree community succ...

Los métodos para la clasificación de uso y cobertura del suelo (UCS) han mostrado avances importantes en los últimos años, como la incorporación de las técnicas de aprendizaje automático (machine learning-ML) que han ganado popularidad y aceptación por sus resultados. Sin embargo, la falta de consensos metodológicos ha provocado una aplicación deso...

Deforestation is a global change driver that contributes to atmospheric carbon emissions, causes biodiversity loss and ecosystem services degradation. Usually, this process has been quantified and monitored using remote sensing. The development of deep learning algorithms, as well as satellite images with a higher spatial and temporal resolution ha...

50-day free access link: https://authors.elsevier.com/c/1gto5_L0-WBIwi Deforestation is a global change driver that contributes to atmospheric carbon emissions, causes biodiversity loss and ecosystem services degradation. Usually, this process has been quantified and monitored using remote sensing. The development of deep learning algorithms, as w...

Coffee is one of the most important agricultural commodities of Mexico. Mapping coffee land cover is still a challenge because it is grown mainly on small areas in agroforestry systems (AFS), which are located in hard-to-access mountainous regions. The objective of this research was to map coffee AFS types in a mountainous region using the changing...

In the original version of this chapter, the URL link on page 11 in section “5.5 Data” was wrongly pointed to https://dx.doi.org/10.1007/978-3-030-90998-7_16 saying “DOI Not Found”. This has been corrected in the updated version.

This open access book represents a comprehensive review of available land-use cover data and techniques to validate and analyze this type of spatial information. The book provides the basic theory needed to understand the progress of LUCC mapping/modeling validation practice. It makes accessible to any interested user most of the research community...

This chapter offers a general overview of the available tools and strategies for validating Land Use Cover (LUC) data—specifically LUC maps—and Land Use Cover Change Modelling (LUCCM) exercises. We give readers some guidelines according to the type of maps they want to validate: single LUC maps (Sect. 3), time series of LUC maps (Sect. 4) or the re...

In Land Use Cover Change (LUCC) modelling, soft maps are often produced to express the propensity of an area to land use change. These maps are generally prepared in raster format, and have values of between 0 and 1, indicating the propensity of each pixel to change. In the literature, they are referred to as suitability, change potential or change...

Several validation techniques based on the cross-tabulation matrix can be applied to validate Land Use Cover (LUC) maps. The exercises in this chapter focus, in particular, on the cross-tabulation techniques proposed by Robert Gilmore Pontius Jr., who has developed many indices and techniques in this field. Given his major contribution to this fami...

The overlaying of two map layers is a standard GIS procedure. As we saw in the previous chapter, it enables us to compute the intersection between two feature classes and cross-tabulate either the area or the pixel count of the intersecting features depending on whether raster or vector data are being used. Cross-tabulation can be used to evaluate...

In this chapter, we offer a brief introduction to the main concepts associated with Land Use Cover (LUC) mapping, Land Use Cover Change (LUCC) modelling and the uncertainty and validation of LUC and LUCC data and model outputs. The chapter summarizes the theoretical fundamentals required to understand the rest of the book. First, we define Land Use...

This chapter offers an introduction to the book and is specifically recommended for all readers intending to do the practical exercises it contains. It also provides readers with all the information they require to make the most of the book’s contents. In this chapter, we explain the aim, structure and intended audience for this book. We also give...

Global Forest Change (GFC) is a global monitoring system with moderate resolution (Landsat, 30 m pixel) that allows knowing the location and magnitude of the losses or gains of global forest cover. Critical Forest Change (CFC) is a calibration system based on comprehensive photo interpretation (1:10,000 scale for change editing, and 1:5,000 scale f...

Research on the uncertainty of Land Use Cover Change (LUCC) models is still limited. Through this paper, we aim to globally characterize the structural uncertainty of four common software packages (CA_Markov, Dinamica EGO, Land Change Modeler, Metronamica) and analyse the options that they offer for uncertainty management. The models have been comp...

The surging demand for commodity crops has led to rapid and severe agricultural frontier expansion globally and has put producing regions increasingly under pressure. However, knowledge about spatial patterns of agricultural frontier dynamics, their leading spatial determinants, and socio-ecological trade-offs is often lacking, hindering contextual...

Research on the uncertainty of Land Use Cover Change (LUCC) models is still limited. Through this paper, we aim to globally characterize the structural uncertainty of four common software packages (CA_Markov, Dinamica EGO, Land Change Modeler, Metronamica) and analyse the options that they offer for uncertainty management.The models have been compa...

ContextLandscape domestication (LD) has been an important mechanism for subsistence in traditional rural societies. In the last decade, important theoretical advances have been accomplished with valuable archaeological, historical, and ecological approaches for understanding LD processes, while integrated spatial approximations are still scanty.Obj...

In recent history, Coronavirus Disease 2019 (COVID-19) is one of the worst infectious disease outbreaks affecting humanity. The World Health Organization has defined the outbreak of COVID-19 as a pandemic, and the massive growth of the number of infected cases in a short time has caused enormous pressure on medical systems. Mexico surpassed 3.7 mil...

Spatial information on the timing of forest cover loss is important to identify and map stand age, which is a key factor driving the recovery of carbon pools and can also be used to estimate aboveground biomass (AGB) based on its relationship with stand age. Here, we estimated the spatial distribution of stand age and AGB of young forest (<20 years...

Information on the spatial distribution of forest aboveground biomass (AGB) and its uncertainty is important to evaluate management and conservation policies in tropical forests. However, the scarcity of field data and robust protocols to propagate uncertainty prevent a robust estimation through remote sensing. We upscaled AGB from field data to Li...

The U-net is nowadays among the most popular deep learning algorithms for land use/land cover (LULC) mapping; nevertheless, it has rarely been used with synthetic aperture radar (SAR) and multispectral (MS) imagery. On the other hand, the discrimination between plantations and forests in LULC maps has been emphasized, especially for tropical areas,...

Forest regeneration at large-scales is one of the main paths to achieving the ongoing ambitious restoration commitments. Thus, the identification of the main drivers of this process in agricultural landscapes is critical to understand the drivers determining restoration success. A growing number of studies have explored the biophysical and, less of...

Questions What is the potential use of maps derived from a merged geographical and phytosociological approach to support the design of public environmental policies? Do these approaches and data sources deliver complementary land-cover/vegetation maps? Objective The present article documents a joint phytosociological and geographical approach to i...

Landsat imagery offers the most extended continuous land surface observation at 30 m spatial resolution and is widely used in land change studies. On the other hand, the recent developments on big data, such as cloud computing, give new opportunities for carrying out satellite-based continuous land cover monitoring including land use/cover change a...

Analysis of potential areas for crop establishment is necessary for sustainable agricultural planning, conservation of natural ecosystems, and achievement of food security’s current global objective. This study aims to model the current potential distribution of the optimal areas for Hass avocado crop in Mexico, along with the likely impact of clim...

This paper analyzed the availability of cloud-free data from the programs Landsat (surface reflectance, 1982-2019) and Sentinel-2 (TOA reflectance, 2015-2019) over the Brazilian territory. In the case of Landsat, the amount of information available increasedconsiderably in 1999 with the start of Landsat 7. However, mainly due to the presence of clo...

La presente guía está dirigida a aquellos que desean iniciarse en el uso de LaTeX para la elaboración de artículos, libros, informes y tesis. Se presenta la estructura básica de los archivos fuente de LaTeX, así como los principales comandos para elaborar documentos sencillos; las herramientas para generar reportes dinámicos desde el programa R par...

As spatial analysis can contribute to the understanding of COVID-19 epidemic , we compiled and georeference data for Mexico. Data were compiled from the National Population Council (CONAPO), Google, the National Institute of Statistics and Geography (INEGI), and the Secretary of Health. The data describe the cases of COVID and characteristics of th...

In this stage 1 registered report, we propose an analysis of the spatio-temporal patterns of the COVID-19 epidemic in Mexico using the georeferenced confirmed cases aggregated at the municipality level. We will compute weekly Moran index to assess spatial autocorrelation over time and identify clusters of the disease using the “flexibly shaped spat...

Our understanding of how COVID-19 spreads over a territory needs to be improved. For example, the evaluation of disease spatiotemporal distribution and its association with other characteristics can help identify covariates, model the behavior of the epidemic, and provide useful information for decision making. Data were compiled from the National...

Este libro proporciona una guía para llevar a cabo el mapeo de la biomasa aérea del bosque en grandes superficies relacionando datos de campo con la información derivada de imágenes de satélite. La metodología para el mapeo de esta variable utiliza scripts desarrollados en el lenguaje R, e incluye la estimación de la biomasa en campo, preprocesamie...

In view of the exponential growth in the volume of data that is considered in intelligent decision-making, hyperspectral remote sensing (HRS) has, without doubt, brought greater dominance over agricultural crops as it goes beyond the paradigm of little information being available about the targets. In this review of the state of the art of HRS, com...

Actualmente, las imágenes Sentinel-2 son uno de los acervos multiespectrales y gratuitos de mayor resolución temporal, espectral y espacial para monitorear la superficie terrestre. Sin embargo, la posibilidad de utilizar este acervo para distintas aplicaciones está condicionada por el número de observaciones sin nubes disponibles para una ventana e...

Protected areas (PAs) are one of the main strategies to preserve tropical biodiversity. However, their viability is compromised by the impacts of a variety of threats. To gain a more integrated view of how different threats affect them, individually and in combination, we analyzed the spatial distribution of forest loss (2010–2015), human density,...

The LSTtools package provides 21 tools for the analysis of thermal data derived from Landsat and MODIS satellites. It includes a number of pre-processing, processing and post-processing functions to conduct Urban Heat Island (UHI) assessments. Quality filtering, data uncompressing, spectral indices focused on green and grey urban infrastructure, ho...

Spatio-temporal modelling of land use allows an analysis of change considering socio-economic, ecological and biophysical factors. We developed a ‘spatially explicit’ model to simulate land use/cover change in the Calakmul realm during the Late Classic period, taking into account the relationship between population density, agriculture strategies a...

Se analizaron los cambios de cubierta/uso del suelo en el estado de Guanajuato identificando los procesos de transformación y degradación ambiental. El análisis consideró tres periodos de tiempo 2002-2007, 2007-2011 y 2011-2014 basados en la cartografía de uso del suelo y vegetación de INEGI. Se utilizaron métodos de evaluación de tasas de cambio,...

Background: Reliable information about the spatial distribution of aboveground biomass (AGB) in tropical forests is fundamental for climate change mitigation and for maintaining carbon stocks. Recent AGB maps at continental and national scales have shown large uncertainties, particularly in tropical areas with high AGB values. Errors in AGB maps a...

The objective of this research is to know the predictive capacity of three LUCC models in the Baja California peninsula, Mexico, generated in 2008. Through the cartographic update method, three maps of roofs and uses of the Soil since 2018. This was done with remote sensing tools, geographic information systems, use of statistical analysis (R) soft...

The objective of this research is to know the predictive capacity of three LUCC models in the Baja California peninsula, Mexico, generated in 2008. Through the cartographic update method, three maps of roofs and uses of the Soil since 2018. This was done with remote sensing tools, geographic information systems, use of statistical analysis (R) soft...

The objective of this research is to know the predictive capacity of three LUCC models in the Baja California peninsula, Mexico, generated in 2008. Through the cartographic update method, three maps of roofs and uses of the Soil since 2018. This was done with remote sensing tools, geographic information systems, use of statistical analysis (R) soft...

Los mapas de cubierta/uso de suelo (CUS) deben ser sometidos a una evaluación de fiabilidad temática que consiste en comparar la información del mapa con información de referencia considerada muy confiable, para conocer la calidad de sus datos. En este trabajo se realizó la evaluación de la cartografía del estado de Michoacán (Mas, Lemoine-Rodrígue...

Factores socioculturales y ambientales afectan el contacto en el paisaje entre triatominos infectados con Trypanosoma cruzi y la población humana, etiología de la enfermedad de Chagas. En este trabajo se analizan los efectos de la estructura del paisaje sobre la presencia de triatominos (vectores) en asentamientos humanos de una zona rural de Oaxac...

Factores socioculturales y ambientales afectan el contacto en el paisaje entre triatominos infectados con Trypanosoma cruzi y la población humana, etiología de la enfermedad de Chagas. En este trabajo se analizan los efectos de la estructura del paisaje sobre la presencia de triatominos (vectores) en asentamientos humanos de una zona rural de Oaxac...

Desde hace décadas se están produciendo imágenes satelitales para el mundo entero. Sin embargo, ha habido un rezago tecnológico que ha impedido poder analizar la extensa cantidad de información satelital disponible. Hasta fechas recientes la mayoría de los estudios se enfocaban en regiones relativamente reducidas y periodos cortos. No obstante, el...

In view of the exponential growth in the volume of data that is considered in intelligent decision-making, hyperspectral remote sensing (HRS) has, without doubt, brought greater dominance over agricultural crops as it goes beyond the paradigm of little information being available about the targets. In this review of the state of the art of HRS, com...

Introduction: Wildfire monitoring programs were first implemented in Mexico at the end of the last century; however, there are no studies that report their accuracy in detecting fires and hotspots. Objective: To evaluate the thematic accuracy of hotspots and wildfire records in a region of Michoacán de Ocampo, Mexico. Materials and methods: Rapid...

In recent years, plasticulture, which is broadly defined as the use of plastics in agriculture, including greenhouse, tunnels and plastic mulch has become a fast-growing production system. While in the 1970s, the system was used on 2.8 M ha worldwide, the area had grown to 38 M ha in 1996/97 and is still increasing at a rapid rate: In Asia and Afri...

It is still a major challenge to select appropriate variables from remote sensing sensors, which implicates finding reliable selection methods that can maximize the performance of chosen variables in regression models. In this study, we compare the performance of stepwise variable selection based on Akaike information criterion and an approach that...

Durante os últimos anos, foram criados diferentes pacotes de R dirigidos à análise espacial. Ainda assim, existem poucos livros focados na análise espacial com R . Este livro destina-se a usuários com conhecimento básico de Sistemas de Informação Geográfica (SIG) que desejam iniciar a gestão e análise de dados espaciais com R. Portanto, não requer...

Vegetation maps have been key tools for synthesizing large amounts of information and supporting geographical location of biodiversity. Traditional vegetation map development demands acquisition and processing of expensive supplies, expertise of qualified interpreters and extensive fieldwork; nevertheless vegetation maps are crucial in areas where...

La obra es un esfuerzo colectivo que pretende contribuir en la comprensión de la complejidad urbana desde el análisis del crecimiento y el riesgo urbanos de diversas ciudades latinoamericanas, mediante la utilización de variados métodos, técnicas y tecnologías geoespaciales. / The book is a collective effort that aims to contribute to the understa...

In this study, methods, originally developed to assess life course trajectories, are explored in order to evaluate land change through the analysis of sequences of land use/cover. Annual land cover maps which describe land use/land cover change for the 1985–2017 period for a large region in Northeast Brazil were analyzed. The most frequent sequence...

Due to sensor or ground station failure and poor atmospheric conditions, missing information is a common problem that reduces the usage of optical remote sensing data. A large number of algorithms have been developed to reconstruct missing information. Simple methods are compared for filling missing data in the case that one spectral band presents...

En el debate actual sobre el cambio ambiental global y la contribución de las actividades humanas, como detonante de dicho proceso, se generan controversias disciplinarias. En este artículo se propone desarrollar un modelo de análisis para integrar la dimensión espacial en el estudio de las decisiones sobre manejo de tierras, y con ello superar las...

Durante os últimos anos, foram criados diferentes pacotes de R dirigidos à análise espacial. Ainda assim, existem poucos livros focados na análise espacial com R2. Este livro destina-se a usuários com conhecimento básico de Sistemas de Informação Geográfica (SIG) que desejam iniciar a gestão e análise de dados espaciais com R. Portanto, não requer...

Los regímenes de incendios en bosques de coníferas en el centro de México han sido severamente modificados por el cambio de uso de la tierra y las actividades de manejo de incendios. Por lo tanto, es crítico evaluar la contribución de factores antrópicos y ambientales que impulsan la ocurrencia de incendios en estos bosques. Esta información es ese...

Gracias a diferentes módulos orientados al análisis espacial, R, una reconocida plataforma de análisis estadístico es ahora una potente herramienta para llevar a cabo el mapeo y el análisis de todo tipo de información georeferenciada. El presente libro se dirige a usuarios con conocimiento básico de Sistemas de Información Geográfica (SIG) que dese...

We applied annual Moderate Resolution Imaging Spectroradiometer (MODIS) product Vegetation Continuous Fields (VCF) data for the detection of forest cover change (FCC) in Mexico over the period 2000–2010. We excluded the pixels with uncertain information and applied a moving average and low-pass filter to smooth the multi-temporal data to reduce the...

Holocene fossil pollen samples (n = 38) from Lake Silvituc in Mexico were analyzed with the analog technique using modern pollen samples (n = 98) of the Yucatán Peninsula, Mexico. Calculated dissimilarity indices allow us to reconstruct the vegetation and to develop a precipitation record for the last 7900 years. The Middle Holocene shows a gradual...

It has been suggested that traditional ecological knowledge (TEK) may play a key role in forest conservation. However, empirical studies assessing to what extent TEK is associated with forest conservation compared with other variables are rare. Furthermore, to our knowledge, the spatial overlap of TEK and forest conservation has not been evaluated...

Globalization and Climate Change are the megatrends that are redefining geographic and social space at all scales. A specific local expression of such processes are both the Land Cover and the Land-Use Change, which can indicate to what extent are these phenomena exerting pressure, particularly on land management. When in a context of pressure ther...

Artificial Neural networks have been found to be outstanding tools able to generate generalizable models in many disciplines. In this technical note, we present the multi-layer perceptron (MLP) which is the most common neural network.

This book provides a detailed overview of the concepts, techniques, applications, and methodological approaches involved in land use and cover change (LUCC) modeling, also known simply as land change modeling. More than 40 international experts in this field have participated in this book, which illustrates recent advances in LUCC modeling with exa...

Land cover change can lead to slope instability by accelerating erosive processes associated with agriculture, forestry, and infrastructure. The Rio Chiquito-Barranca del Muerto subbasin has experienced an increase in land cover change due to government programs and the establishment of agricultural and urban areas. The aim of this study was to pro...

This article presents a hybrid classification method combining image segmentation, GIS analysis, and visual interpretation, and its application to elaborate a multi-date cartographic database with 23 land use/cover (LUC) classes using SPOT 5 imagery for the Mexican state of Michoacan (~60,000 km 2). First, the resolution of an existing 1:100,000 LU...

Resumen Existe evidencia de que las actividades antrópicas modifican la distribu-ción de muchas especies de vertebrados. El presente estudio propone un índice difuso de aptitud de hábitat para evaluar cómo la deforestación y fuentes de actividad antrópica, tales como la proximidad a una mina de hierro a cielo abierto, las carreteras y los asentamie...

En las últimas décadas, se han registrado altas tasas de deforestación en el Estado de Michoacán. En el presente trabajo implementamos un método híbrido que combina procesos automatizados, análisis espacial e interpretación visual, el cual nos permitió generar cartografía de cubierta/uso de suelo para el Estado de Michoacán, a escala 1: 50000, con...

Existe evidencia de que las actividades antrópicas modifican la distribución de muchas especies de vertebrados. El presente estudio propone un índice difuso de aptitud de hábitat para evaluar cómo la deforestación y fuentes de actividad antrópica, tales como la proximidad a una mina de hierro a cielo abierto, las carreteras y los asentamientos urba...

A model that enables user to simulate classification error on ”true” maps was developed in order to elaborate error-contaminated maps. Both type of maps, true and error-contaminated, were used to evaluate the accuracy assessment procedure using a modeling approach. A large number of random stratified samples were obtained and used to compute the es...

During the last decades, ecological niche modeling has become a very popular methodology in the exploration and analysis of biodiversity data. ROC analysis is widely used to assess the models and high performance is often reported in the literature. However, datasets derived from opportunistic observations often exhibit a strong geographic bias, ma...

Esta obra fue pensada como un foro de presentación de resultados de investigación para la generación de perspectivas novedosas y originales acerca de los problemas de cambio ambiental que enfrentan los países en Latinoamérica. Se abordan varios aspectos de la modelación espacial para el análisis de procesos medioambientales como la recuperación de...

Debido a procesos como la urbanización, la expansión de la frontera agrícola, la tala clandestina y los incendios, el estado de Michoacán ha perdido grandes extensiones de cubierta forestal en las últimas décadas. El dinamismo de dichos fenómenos requiere de insumos y métodos que permitan detectar la deforestación a escala espacial y temporal detal...

En las últimas décadas, la región Huasteca de San Luis Potosí ha sido el escenario de la pérdida de sus recursos forestales de una manera desmesurada el cual es un problema complejo y se requiere un enfoque multidisciplinario y un proceso participativo de actores locales para detectar problemas y elaborar estrategias para mitigarlos. El objetivo de...

Las investigaciones presentadas en el libro “Tópicos Ambientales y Conservación de Ecosistemas Naturales” reúne trabajos de especialistas de diferentes campos de la ciencias ambientales, y fueron realizadas en el marco de los Programas Multidisciplinarios de Posgrados en Ciencias Ambientales (PMPCA) de la Universidad Autónoma de San Luis Potosí, Mé...