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DOI: https://doi.org/10.56712/latam.v5i5.29= 78

Teledetección y Análisis In Situ para Evaluar el Secuestro de Carbono en el Parque La Isla Tena: Estrategias hacia la Sostenibilidad

Remote Sensing and In Situ Analysis to Evaluate Carbon Sequestration in La Isla Tena Park: Strategies towards Sustainability

 

Ximena Luz Crespo = Nuñez

xcrespo@udet.edu.ec

https://orcid.org/0000-0001-9622-089X

Universidad de Especialidades Turísticas

Quito – Ecuador

 

Aldo Israel Armas Castro

aarmas@udet.edu.ec

https://orcid.org/0009-0008-8149-5952

Universidad de Especialidades Turísticas

Quito – Ecuador


Sergio Vinicio Lasso Barreto<= /o:p>

slasso@udet.edu.ec

https://orcid.org/0000-0002-1606-1524

Universidad de Especialidades Turísticas

Quito – Ecuador

 

Lourdes Elena Monge Amores

emonge@udet.edu.ec

https://orcid.org/0000-0003-0976-7606

Universidad de Especialidades Turísticas

Quito – Ecuador

 

Jaime Vladimir Sancho Zurita=

jsancho@itsjapon.edu.ec

https://orcid.org/0000-0002-5915-2100

Instituto Tecnológico Superior Japón

Quito – Ecuador

 

Artículo recibido: 30 de octubre de 2024. Aceptado para publicación: 13 de noviembre de 2024.

Conflictos de Interés: Ninguno que declarar.

 

Resumen<= /o:p>

El Parque “La Isla Tena” es el bien proporcionado por la naturaleza que posee la ciudad de Tena para atenuar el cambio climático mediant= e la captura de carbono. Sin embargo, los escasos datos sobre la cantidad de car= bono capturado limitan la creación de estrategias para la compensaci&oacu= te;n de CO2 y la sostenibilidad ambiental en Tena. M= isma que atraviesa por el incremento de actividades de sus habitantes como: la deforestación y la minería, que contribuyen a la liberación de gases de efecto invernadero. La finalidad de este trab= ajo de investigación es precisar la cantidad de carbono que captura el parque y utilizar esta información para apoyar iniciativas de reducción de la huella de carbono en Tena. Los objetivos específicos incluyen la identificación de las especies de los árboles en los espacios escogidos y medir las dimensiones de los árboles para calcular la biomasa y estimar el carbono secuestrado, proyectar la capacidad de captura de carbono del parque y obtener el NDVI del parque a través de imágenes sa= telitales. La metodología incluye la obtención de imágenes satelitales del satélite SENTINELA 2 y la estandarización del tamaño de los píxeles a 10m², el cálculo del Índice de Vegetación de Diferencia Normalizada (NDVI) para evaluar la densidad de vegetación, la medición del diámetro a la altura del pecho (DAP) y la altura total de los árboles, la estimación de la biomasa y la cantidad de carbono secuestrado utilizando ecuaciones = alométricas

Palabras clave: cambio climático, captura carbo= no, deforestación

 

Abstract

The Isla Tena Park it is the good provided by nature that the city of Tena has to mitigate climate change through carbon sequestration. However, = the limited data on the amount of carbon captured hinders the creation of strategies for CO2 offsetting and environmental sustainability in Tena. The city faces an increase in human activities such as deforestation and mining, which contribute to the release of greenhouse gases. The purpose of this research work amount of carbon captured by the La Isla de Tena Park, in ord= er to support carbon reduction in the Tena Decentralized Autonomous Government. Specific objectives include identifying the forest species in the evaluated transects, measuring tree dimensions to calculate biomass and estimate sequestered carbon, projecting the park's carbon capture capacity, and obtaining the park's normalized difference vegetation index from satellite images. The methodology involves obtaining satellite images from the SENTIN= EL 2 satellite and standardizing the pixel size to 10m²= ;, calculating the Normalized Difference Vegetation Index (NDVI) to assess vegetation density, measuring the diameter at breast height (DBH) and total height of trees, estimating biomass an= d the amount of sequestered carbon using allometric equations."

Keywords: climate change, carbon capture, deforestation

 

 

 

 

 

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Todo el contenido de LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, publicado en este sitio está disponibles bajo Licencia <= span lang=3DES-EC style=3D'color:black;mso-color-alt:windowtext'>Creative Commons.

Cómo citar: Crespo= Nuñez, X. L., Armas Castro, A. I., Lasso Barre= to, S. V., Monge Amores, L. E., & Sancho Zurita, J. V. (2024). Teledetección y Análisis In Situ para Evaluar el Secuestro de Carbono en el Parque La Isla Tena: Estrategias hacia la Sostenibilidad. LATAM Revista Latinoamericana de Cienc= ias Sociales y Humanidades 5 (5), 5365 – 5381. https://doi.org/10.56712/<= span class=3DSpellE>latam.v5i5.2978

INTRODUCCIÓN

El cambio climático representa uno de l= os retos más críticos de la actualidad, y su mitigación requiere esfuerzos coordinados tanto a nivel global como local. En este contexto, los parques ubicados en zonas urbanas, como el Parque "La Is= la Tena" en Tena, provincia de Napo, Ecuador, juegan un papel importante = al capturar y almacenar carbono, lo que contribuye a la compensación de dióxido de carbono (CO2) y a la sostenib= ilidad ambiental.

La presencia del Parque "La Isla Tena&quo= t; es esencial en la lucha contra el cambio climático mediante el secue= stro de carbono. Sin embargo, no se dispone de información precisa sobre = la cantidad de carbono que este parque puede capturar, lo que dificulta la creación de estrategias efectivas para la compensación de CO2 y la sostenibilidad ambiental en la ciudad de Ten= a. La ausencia de estos datos impide la implementación de medidas que podrían contribuir significativamente a la reducción de la hu= ella de carbono en la región.

Tena enfrenta un incremento de actividades humanas, como la deforestación, la minería y el aumento de vehículos, lo que agrava la emisión de gases de efecto invernadero y, por ende, el cambio climático. En este escenario, el Parque "La Isla Tena" podría tener un rol clave en el secuestro de carbono. No obstante, la falta de información precisa s= obre la capacidad de captura de carbono del parque dificulta la aplicació= n de métodos para compensar el CO2. Por ello,= es crucial llevar a cabo una investigación que cuantifique el secuestro= de carbono en el parque, con el fin de apoyar las iniciativas locales de reducción de la huella de carbono.

Objetivo genera= l

El objetivo de este proyecto es cuantificar el secuestro de carbono del Parque "La Isla de Tena" para contribuir= a la formulación de estrategias de reducción de la huella de carbono en la ciudad de Tena, provincia de Napo, Ecuador, apoyando as&iacut= e; la sostenibilidad ambiental local.

Objetivos específicos

<= span style=3D'mso-list:Ignore'>●<= span style=3D'mso-list:Ignore'>●<= span style=3D'mso-list:Ignore'>●, CH y NO, los principales GEI. Según Useros (2013), las emisiones de estos gases están estrechamente vinculadas = al desarrollo económico, lo que implica que los países desarrollados, con mayores niveles de actividad industrial, son los que más contribuyen al cambio climático.

Brasil es uno de los países más afectados por la deforestación, con un notable incremento en la pérdida de la Amazonía (Cassemiro, 2020).

El cambio climático tiene efectos graves sobre los ecosistemas, la biodiversidad y el nivel del mar. Sánchez (2023) destaca la presión sobre la Amazonía ecuatoriana debid= o a la explotación de recursos. El IPCC (2014) advierte que especies terrestres, acuáticas y marinas están cambiando su comportami= ento debido al cambio climático, lo que podría tener consecuencias desastrosas a largo plazo. Además, el aumento del nivel del mar, cau= sado por el derretimiento de glaciares, afecta la agricultura y el suministro de agua potable en áreas costeras (Pardo-Buendía, 2007), mientras que los glaciares andinos se están derritiendo, alterando los sistem= as hidrológicos de la región (IPCC, 2014).

La teledetección es una herramienta cla= ve para monitorear los cambios en la superficie terrestre y los ecosistemas afectados por el cambio climático. Contreras-Arévalo (2019) subraya la importancia de los índices espectrales como el NDVI, que permiten evaluar la salud de la vegetaci&oa= cute;n y detectar tanto deforestación como expansión urbana.

<= /a>Área de estudio

El río Tena se origina de la confluenci= a de los ríos Pano y Tena, formando una península donde se encuent= ra el Parque Amazónico “La Isla”. Este espacio de 24 hectáreas incluye 8 hectáreas con senderos, cabañas, balnearios, lagunas, jardines, un mirador y una pequeña colecci&oacu= te;n de fauna. Un puente colgante conecta el parque con la ciudad de Tena.<= /o:p>

Las 16 hectáreas restantes albergan una variedad de áreas, como chacras de autoabastecimiento para el zoológico, un arboretum, un remanente de bosque con palmas y orquídeas, y áreas destinadas a proyectos administrados por FUNAMA.

El clima es similar al de la región, con mayor humedad relativa debido a la presencia de los dos ríos, Tena y Napo.

<= /a>Figura 1

Mapa del cantón Tena. Google Maps

<= !--[if gte vml 1]>

Nota: La imagen obtenida de la plataforma Google Ma= ps. corresponde a la ciudad del Tena. &nbs= p;            &= nbsp;           &nbs= p;  

<= /a>Datos Generales

Nombre:<= /b> Área Protegida de Recreación "la Isla"

Extensió= n: 22 ha.

Altitud:= 517-530m.s.n.m.

Pluviosidad: 3.000-4.000 mm=

Ubicació= n: Provincia de N= apo, Cantón de Tena, Ciudad De Tena, entre la confluencia de los rí= ;os Tena y Pano.

Zona de vida: Bosque húmedo tropical, según la clasificación de Holdrigge.

Temperatura: 25°C

Facilidades: 3,5 Km. De senderos, piscinas con peces de la zona, muestrario de fauna listado con descripción, jardín botánico, mirador, cabañas, entre otros.

Tipo de suelo:<= /span> Aluvial y colu= vial

El Parque Amazónico alberga una amplia variedad de vida, desde primates semiformes hasta plantas con propiedades medicinales, además de una diversa gama de insectos. De las 22 hectáreas que comprende, ocho están habilitadas para que los visitantes puedan recorrerlas, permitiendo que disfruten y aprendan simultáneamente (Paz y Miño, 1999).

 

 

METODOLOGÍA

Recopilar información teórica so= bre la biodiversidad y gestión ambiental del Parque La Isla, utilizando = como base el "Plan de manejo y modelo de gestión del Parque La Isla", estudios sobre flora, fauna y sobre secuestro de carbono.<= /o:p>

Clasificaci&oac= ute;n de especies de flora y fauna

Identificar y clasificar las especies presente= s en el parque, detallando sus características morfológicas y ecológicas. Las especies vegetales destacadas incluirán el ma= te, la guayusa, el ceibo y la sangre de drago, y la fauna incluirá el barizo, el mono araña y la guatusa.=

Para identificar diferentes especies de árboles utilizando Google Fotos, se sigui&oac= ute; una metodología específica. En primer lugar, se abrió = la aplicación Google Fotos en un teléfono móvil. A contin= uación, se seleccionó una fotografía de un árbol que se deseaba identificar. Luego, se presionó el botón Lens (si estaba disponible) para activar la función de reconocimiento de objetos. La aplicación analizó la imagen y proporcionó varias opci= ones basadas en su base de datos. Se revisaron los detalles de cada opció= n y se seleccionó la especie que correspondía. Cabe recalcar que, consulte con un especialista en botánica para obtener una identificación precisa

Estimació= ;n del carbono secuestrado mediante ecuaciones alom&eacut= e;tricas

Utilizar ecuaciones alom&= eacute;tricas para estimar la biomasa de los árboles del parque, basándose = en las medidas de diámetro a la altura del pecho (= DAP) y altura total de los árboles. Esto permitirá calcular la cantidad de carbono secuestrado por las especies arbóreas.

Considerando que el método más accesible para calcular la biomasa de un árbol es el uso de ecuacion= es alométricas. “La al= ometría, consiste en la variación morfológica correlacionada con el tamaño, es un patrón importante en la evolución de los= organismos. Dado que el tamaño varía tanto dentro de las especies como en= tre ellas.” (Le Verger.  et = al., 2023. p. 1), Estás ecuaciones estiman los valores de una variable, s= on ecuaciones empíricas ya que los coeficientes utilizados no son conoc= idos y se los obtiene por procedimientos de mínimos cuadrados en regresión lineal (Fonseca, 2017); para lograr está estimación se utilizan diferentes modelos de combinación y regresión de variables. Sin embargo, algunos autores usan transformaciones logarítmicas o exponenciales y factores de corrección (Cuenca et al., 2017).

Las ecuaciones alom&eacut= e;tricas constituyen una herramienta fundamental para estimar la biomasa forestal. E= stas ecuaciones establecen relaciones matemáticas entre el diámetro del árbol y su biomasa total o la de sus componentes (raíz, fuste, corteza, ramas y hojas). Según estudios previos (Aquino et al= ., 2015; Sanquetta et al., 2015), es indispensable conocer la proporción de cada componente estructural para aplicar correctamente estas ecuaciones.

Birdsey et al. (2013) enfatizan que estas relaciones alométricas permiten predecir= la biomasa total a partir de mediciones simples como el diámetro del árbol.

La regresión como el método estadístico que implica determinar una función matemát= ica que describe la relación entre variables. Esta función proporciona información más detallada sobre dicha relación. Como ejemplo el modelo más básico: la regresión lineal simple. Este modelo nos proporciona informaci&oacut= e;n sobre las siguientes magnitudes: la fuerza de la correlación, el cam= bio marginal, el valor de la propiedad de un suceso cuando la otra es cero, y s= i la relación entre ellas es significativa o débil en comparación con una relación normal. (Montero, 2016.)

Está relación expresa una ecuación que conecta la variable dependiente a una variable independiente, se expresa la comprensión de (Y) a partir de la presión de (X) mediante una recta (López et al., 2011). La regresión lineal múltiple indica que más de una variab= le tiene influencia o está correlacionada con el valor de una tercera variable. (Montero. 2016. p. 5).  Análisis de regresión por el método de mínimos cuadrados es una técnica estadística para investigar la relación entre variables. Para el uso de este análisis se debe contar con tres supuestos: - La muestra deber&aacut= e; ser obtenida al azar. – Deberá presentar una distribució= ;n normal - Y una homogeneidad en su variancia (Madroñero et al., 2021)= .

En función del área del parque de veinte y dos hectáreas, se fijaron diez segmentos de diez por diez, = es decir cien metros cuadrados cada uno, se alcanzó una muestra del 0,0= 9% del total del área. La segmentación para la investigaci&oacut= e;n fue seleccionada de manera aleatoria para asegurarnos que todas las diferen= tes posiciones fisiográficas sean representadas en nuestro muestreo. En = cada cuadrante se realizaron mediciones e identificación de todos los especímenes presentes. Se tomó la coordenada en el centro de = cada cuadrante y se asignó con un código de C1-C10.

Se utilizó ecuaciones alométricas, mismas que permite estimar la biomasa de una especie forestal sin causar daño y aplicar los resultados a situaciones de crecimiento similares. Estas ecuaciones se basan en parámetros relativamente sencillos de medir, como el diámetro y la altura. (Sáenz, et. al. 2021)

Uno de estos parámetros fue el diámetro de altura del pecho (DAP) que se estableció a 130 cm desde el suelo, el otro parámetro utiliza= do fue la altura total del árbol (Malleu, 1= 970).

Para medir el DAP = se utilizó una cinta métrica con la que se obtuvo la distancia e= ntre dos puntos de la circunferencia (CAP), dividiéndola para Pi se obtuv= o el diámetro del árbol (DAP) (de Oca = et al., 2020). Para los individuos que presentaron ramificaciones en el tronco= , se sumaron todos los DAP.

DAP =3D CAP / π             =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;      

La altura del árbol se midió mediante el uso de un hipsómetro, fijando dos puntos en la base del árbol y en punto más alto del árbol.

Con los datos obtenidos de diámetro y altura de cuadrantes, en base a lo propuesto por Valverde (2017), se seleccionó ecuaciones que tuvieron el coste menor de error de cuadra= do medio, siendo las igualdades matemáticas entre las dos expresiones, = que mejor estimaron la Biomasa de las especies presentes:

Biomasa aérea =3D 39,8643 − 3,51885dap + 0,02138dap 2         &= nbsp;           &nbs= p;            &= nbsp;                 &= nbsp;           &nbs= p;        

Donde:

dap es el diámetro a la altura del pecho

h es la altura total del árbol

Br =3D Ba * 0.5             =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;

Obtenida la biomasa total en kg, a travé= ;s de la suma de la biomasa aérea y radicular se infiere el carbono (C) fijado, la biomasa escrutada se consideró biomasa aérea (tron= co, ramas, hojas, entre otros), a este valor se agregó la biomasa bajo tierra (raíces) utilizando el factor de conversión de 0.50.

Bt =3D Ba + (Ba * 0,50)            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;  

Para realizar los cálculos de carbono aéreo, radicular y total, se utilizó tres ecuaciones con la metodología propuesta por (Muñoz y Vásquez, 2020), don= de la constante de 0,5 estima el valor de la fracción de carbono en un cincuenta por ciento para los diferentes grupos de árboles, 0,50 y 0= ,24 son resultado de regresiones lineales (Fonseca,2017).

CA =3D Bt * 0,5        =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;     

CR =3D CA * 0,24            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;       

CT =3D CA + CR           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;         

Proyecció= ;n del carbono fijado en las zonas arboladas

De acuerdo, a los datos logrados en el espacio= de investigación, de la cantidad de carbono fijado por cada cuadrante, = que equivalen a 1.000 m2 se proyectó mediante regresión lineal para las 22 hectáreas de arbolado del Parque= la Isla del Tena.

Obtención del Índice de Vegetación de Diferencia Normalizada (NDVI) con imágenes del satélite SENTINEL 2

Utilizar imágenes satelitales del SENTINEL 2 para calcular el NDVI= . Este índice permitirá evaluar la densidad de vegetació= n en el parque y servirá como un indicador de la salud de los ecosistemas vegetales.

Los pasos que se siguieron para la estimación de carbono en el Parque la Isla del Tena con imágenes satelitales fueron: 1) la obtención de una imagen del área de estudio, 2) la estandarización del tamaño = del píxel entre las diferentes bandas espectrales, 3) la obtención del índice de vegetación de diferencia normalizada (NDVI).

Se obtuvo una imagen del área de estudio desde la plataforma Copernicus y el saté= lite SENTINELA 2, el que contiene las 13 bandas espectrale= s. Debido a que las bandas de SENTINELA 2 tienen diferentes tamaños de píxeles, en ese caso se utilizó = el programa Raster, (funciones Geometric y Resampling) (Aparisi, 2019), para estandariza= r el tamaño de todos los píxeles en todas las bandas al mín= imo de 10m2. La segunda banda ya cuenta con el tamaño de los pixeles de 10m2.

Siguiendo el proceso las imágenes fueron llevadas al software SNAP (Quillupangui, 2019),= donde se realizaron combinaciones de bandas, principalmente, la banda del infrarr= ojo (banda 8), la banda del rojo (banda 4), y las bandas de los espectros de la naturaleza (3, y 2) (Augusto et al., 2017).

Al comparar las bandas 8 y 4 se verificó= ; la cantidad de vegetación existente, una vez analizada la vegetaci&oacu= te;n con las diferentes bandas, procedemos a calcular el índice de vegetación de diferencia normalizada para toda la zona arbolado del parque. Para esto se utilizó las aplicaciones incorporadas en el SNA= P Raster y Band maths, y la fórmula de NDVI (Perea et al., 2021).

NDVI =3D (B8 - = B4) / (B8 + B4)

 

<= /a>RESULTADOS=

<= /a>Identificaci&oa= cute;n de especies encontradas en los transeptos analizados.

<= /a>Tabla 1

Especies identificadas en los transeptos evaluados

Cuadrante

No. De Especimenes

Especie/G&eac= ute;nero

1

2

Schizolobium parahyba=

1

1

Minquartia guianensis=

1

1

Calliandra angustifolia

2

4

Guarea guidonia

3

2

Zanthoxylum sprucei<= o:p>

3

6

Ficus citrifolia

3

9

Pourouma minor

3

10

Pourouma minor

4

1

Iriartea deltoidea

4

3

Guarea guidonia

4

1

Cedrelinga cateniformis

5

1

Bactris gasipaes

5

1

Cedrelinga cateniformis

5

1

Stelechocarpus sp.=

5

1

Guarea guidonia

5

1

Bursera sarcopoda<= /o:p>

5

2

Artocarpus altilis

5

1

Symphonia globulifera

6

1

Cecropia sciadophylla

6

1

Croton matourensis

6

1

Amphitecna latifolia

6

1

Bactris gasipaes

7

1

Hymenolobium sp.=

7

1

Artocarpus altilis

7

1

Ficus citrifolia

7

1

Cedrela odorata

7

1

Bactris gasipaes

7

2

Castilla eslastica<= /p>

7

1

Guarea guidonia

8

1

Cecropia sciadophylla

8

1

Cedrela odorata

8

1

Trichospermum galeottii

8

1

Dioscorea sp.<= /span>

8

1

Bocconia frutescens=

8

1

Cecropia sciadophylla

9

1

Ceiba pentandra

10

1

Minquartia guianensis=

10

3

Pouteria caimito

10

2

Minquartia guianensis=

10

4

Lafoensia acuminata<= /o:p>

 

Nota: Toda la información proviene del estudio realizado en el parque” La Isla Tena”.

Fuente: elaboración propia.

<= /a>Estimación del Carbono secuestrado utilizando ecuaciones alométricas

Tabla 2

Resultados de Biomasa y carbono secuestrado

No. Individuo= s

Especie/G&eac= ute;nero

Biomasa<= /o:p>

Carbono/T

1

Amphitecna latifolia

0.039494737

0.024486737

3

Artocarpus altilis

0.33471508

0.20752335

3

Bactris gasipaes

0.37472635

0.23233034

1

Bocconia frutescens=

0.2198614

0.13583341

1

Bursera sarcopoda<= /o:p>

0.22082465

0.13691128

1

Calliandra angustifolia

0.1456547

0.09030591

2

Castilla eslastica<= /p>

0.10360251

0.06423356

3

Cecropia sciadophylla

0.67995612

0.42157279

2

Cedrela odorata

0.00804849

0.00499006

2

Cedrelinga cateniformis

0.70658416

0.43808218

1

Ceiba pentandra

1.42765258

0.8851446

1

Croton matourensis

0.22331622

0.13845606

1

Dioscorea sp.<= /span>

0.03552917

0.0222809

7

Ficus citrifolia

0.14168855

0.08766705

9

Guarea guidonia

0.55890386

0.3465204

1

Hymenolobium sp.=

0.46548248

0.28859921

1

Iriartea deltoidea

0.13939099

0.8642242

2

Lafoensia acuminata<= /o:p>

0.18106007

0.11225724

4

Minquartia guianensis=

0.69752972

0.43246843

2

Pourouma minor

0.25093902

0.15558219

3

Pouteria caimito

0.57793983

0.3583227

2

Schizolobium parahyba=

0.12927662

0.08015151

1

Stelechocarpus sp.=

0.13298912

0.08245326

1

Symphonia globulifera

0.35037331

0.21723145

1

Trichospermum galeottii

0.1282196

0.07949615

2

Zanthoxylum sprucei<= o:p>

0.49174242

0.1988883

 

Total

 

6.106013267

<= /a> 

Nota: Los resultados de está tabla corresponden al cálculo del carbono fijado por las diferentes especi= es.

El cálculo total del carbono fijado en = los 10 cuadrantes establecidos por las especies forestales presentes es de seis toneladas.

<= /a>Proyecció= ;n del carbono fijado en las zonas de arbolado del Parque la Isla del Tena

Al realizar la proyección de toneladas capturadas por todo el parque amazónico la Isla se obtuvo una proyección de mil trecientas cuarenta y tres toneladas de carbono fijado.

Proyección a 22 hectáreas – 1343,32

<= /a>Obtención del Índice de vegetación diferencial normalizada NDVI con imágenes del satélite SENTINELA 2.

Figura 2

3D"Mapa

Descripción
NDVI, parque “La Isla Tena”  

 

<= /a>Nota= : NDVI obtenido a partir de imágenes del satélite Sentinel 2. <= /p>

Figura 3

3D"Imagen

Valores de NDVI banda coloración= verde

     

Nota: Coloración verde en función de la presencia y vigor = de la vegetación.

<= /a>Se observa en la figura N° 3 de valores de NDVI, que, en fun= ción de la coloración, donde observamos el color verde es donde se encuen= tra presente vegetación en buen estado.

<= /a>No se observan espacios en color negro donde no hay vegetación o está en mal estado de conservación.

<= /a>Tabla 3

Resultados de <= span class=3DSpellE>NDVI obtenido en los transeptos medidos

Nombre común

Especie/G&eac= ute;nero

NDVI

Mayo, pachaco

Schizolobium parahyba

0,5989

Huambula, guayacán pechiche=

Minquartia guianensis=

Mayo, pachaco

Schizolobium parahyba=

Chiparro, Yutzo

Calliandra angustifolia

Isla Tocota, pia= lde macho, amargo

Guarea guidonia

0,69897

Isla Tocota, pia= lde macho, amargo

Guarea guidonia

Isla Tocota, pia= lde macho, amargo

Guarea guidonia

Isla Tocota, pia= lde macho, amargo

Guarea guidonia

Tachuelo

Zanthoxylum sprucei<= o:p>

0,69897

Flor roja

Zanthoxylum sprucei<= o:p>

Higuerón

Ficus citrifolia

 

Ficus citrifolia

 

Ficus citrifolia

 

Ficus citrifolia

 

Ficus citrifolia

 

Ficus citrifolia

Picaungu

Pourouma minor

Picaungu

Pourouma minor

Pambil

Iriartea deltoidea

0,73302

Isla Tocota, pia= lde macho, amargo

Guarea guidonia

Chuncho, seique

Cedrelinga cateniformis

 

Guarea guidonia

 

Guarea guidonia

Chonta

Bactris gasipaes

0,74477

Chuncho, seique

Cedrelinga cateniformis

Burahol, kepel

Stelechocarpus sp.=

 

Guarea guidonia

Copal

Bursera sarcopoda<= /o:p>

Árbol del pan, frutipán=

Artocarpus altilis

Machare

Symphonia globulifera

Árbol del pan, frutipán=

Artocarpus altilis

Guarumo

Cecropia sciadophylla

0,74407

Sangre de drago

Croton matourensis

Calabacillo

Amphitecna latifolia

Chonta

Bactris gasipaes

 

Hymenolobium sp.=

0,53387

Árbol del pan, frutipán=

Artocarpus altilis

Higuerón

Ficus citrifolia

Cedro

Cedrela odorata

Chonta

Bactris gasipaes

Caucho

Castilla eslastica<= /p>

 

Castilla eslastica<= /p>

Isla tocota

Guarea guidonia

Guarumo

Cecropia sciadophylla

0,72858

Cedro

Cedrela odorata

Chillalde

Trichospermum galeottii

Ñame

Dioscorea sp.<= /span>

Gordolobo

Bocconia frutescens=

Guarumo

Cecropia sciadophylla

Ceibo

Ceiba pentandra

0,73354

Huambula, guayacán pechiche=

Minquartia guianensis=

0,74489

Caimito, abiyu

Pouteria caimito

 

Pouteria caimito

 

Pouteria caimito

Huambula, guayacán pechiche=

Minquartia guianensis=

 

Minquartia guianensis=

Guayacán de Manizales

Lafoensia acuminata<= /o:p>

 

Lafoensia acuminata<= /o:p>

 

 

 

 

Nota: Los valores de= NDVI encontrados en los transeptos son superiores al = 0,1, es decir son valores positivos de vegetación saludable         &= nbsp; 

 

 &nb= sp;            =             &nb= sp;    &nb= sp;            =  

REVISIÓN DE LA LITERATURA

La captura de carbono en parques urbanos ha emergido como un tema crucial en la investigación sobre sostenibilid= ad ambiental y mitigación del cambio climático. Estos espacios verdes no solo proporcionan beneficios estéticos y recreativos, sino= que también desempeñan un papel vital en la regulación del= carbono atmosférico. A continuación, se presenta una revisión = de la literatura y los hallazgos más relevantes en este ámbito.<= o:p>

Los parques urbanos actúan como sumider= os de carbono, contribuyendo significativamente a la captura de CO2 mediante la fotosíntesis de las especies arbóreas y vegetales. Según un estudio de Nowak et al. (2013), los árboles en las ciudades pueden capturar aproximadamente 22 millones de toneladas de CO2= al año solo en Estados Unidos. La cantidad de carbono almacenado depend= e de factores como la especie, la edad y el tamaño de los árboles, así como de la densidad del área verde.

Diversas metodologías se han desarrolla= do para evaluar la captura de carbono en los parques urbanos. Entre ellas, las ecuaciones alométricas son ampliamente utilizadas para estimar la biomasa y el carbono almacenado en árboles (Chave et al., 2014). Además, el uso de tecnologías de teledetección, como el Índice de Vegetación de Diferen= cia Normalizada (NDVI), ha facilitado la evaluación de la salud y la densidad de la vegetación en áreas urbanas (Zhang et al., 2016).

Además de la captura de carbono, los parques urbanos ofrecen una variedad de beneficios ecosistémicos. Ay= udan a mejorar la calidad del aire al reducir contaminantes, proporcionan sombra= y reducen la temperatura urbana, lo que puede mitigar el efecto de isla de ca= lor (McPherson, 2007). También promueven la biodiversidad y ofrecen espa= cios recreativos que mejoran la calidad de vida de los habitantes urbanos.<= /o:p>

A pesar de los beneficios, existen desaf&iacut= e;os significativos en la maximización de la captura de carbono en parques urbanos. La fragmentación del hábitat, la presión del desarrollo urbano y el mantenimiento inadecuado de los espacios verdes pued= en limitar su eficacia. Un estudio de McHale et al. (2009) destaca que la planificación y el manejo inadecuado de los parques pueden resultar en una disminución de la biodiversidad y la capacidad de captura de carbono.

Recientes investigaciones han subrayado la importancia de integrar la gestión de espacios verdes en las políticas urbanas. La implementación de programas de reforestación y el mantenimiento adecuado de los parques pueden aume= ntar significativamente su capacidad de captura de carbono (O'Neil-Dunne et al., 2018). Además, fomentar la participación comunitaria = en la conservación de estos espacios es crucial para su sostenibilidad a largo plazo.

La literatura sobre la captura de carbono en parques urbanos muestra que estos espacios son vitales no solo para la mitigación del cambio climático, sino también para el bienestar de las comunidades urbanas. Para maximizar su potencial, es esenc= ial adoptar enfoques integrales de planificación y gestión que consideren tanto la biodiversidad como la sostenibilidad. La investigación futura debería enfocarse en el desarrollo de metodologías innovadoras y en la evaluación de polític= as efectivas que promuevan la conservación y el uso sostenible de los parques urbanos.

DISCUSIÓN

El Parque “La Isla Tena” represent= a un recurso invaluable en la lucha contra el cambio climático, al ofrecer una oportunidad significativa para la captura de carbono en un contexto don= de las actividades humanas, como la deforestación y la minería, están aumentando. La capacidad de este parque para mitigar el impacto ambiental es crítica, especialmente en regiones vulnerables como Ten= a, donde la presión sobre los recursos naturales es elevada (González et al., 2021).

Un aspecto fundamental de la investigaci&oacut= e;n es la necesidad de cuantificar el carbono capturado por el parque. Seg&uacu= te;n las estimaciones de IPCC (2022), los ecosistemas forestales son esenciales = para la regulación del ciclo del carbono, y la falta de datos precisos li= mita las estrategias de mitigación que se pueden implementar. El trabajo = de investigación se propone abordar esta brecha mediante la identificación de especies arbóreas y la medición de s= us dimensiones, lo cual es crucial para calcular la biomasa y, por ende, el carbono secuestrado. Esta metodología se alinea con enfoques utiliza= dos en estudios similares, donde el uso de ecuaciones alom= étricas ha demostrado ser efectivo para estimar el carbono almacenado en los bosques (Chave et al., 2014).

El uso de imágenes satelitales del satélite SENTINELA 2 para obtener el Índice de Vegetación de Diferencia Normalizada (NDVI) es una innovación que permitirá e= valuar la salud y la densidad de la vegetación del parque de manera m&aacut= e;s precisa. Estudios previos han demostrado que el NDVI es un indicador fiable de la biomasa vegetal y, por lo tanto, del potencial= de captura de carbono (Zhang et al., 2016). Esta combinación de técnicas proporciona un enfoque robusto para la evaluación del carbono secuestrado y puede servir de base para el desarrollo de políticas de sostenibilidad ambiental en Tena.

Además, la proyección de la capacidad de captura de carbono del parque no solo contribuirá a la mitigación del cambio climático, sino que también apoyará iniciativas locales para reducir la huella de carbono. Esto = es particularmente relevante dado el contexto socioeconómico de Tena, d= onde las actividades económicas pueden ser perjudiciales para el medio ambiente (Pérez & López, 2019). La promoción de la conservación y el manejo sostenible de los recursos naturales podría equilibrar el desarrollo económico y la protecci&oacut= e;n ambiental, beneficiando tanto a la comunidad como al ecosistema.=

En resumen, la investigación sobre la captura de carbono en el Parque “La Isla Tena” no solo es esenc= ial para entender su papel en la mitigación del cambio climático, sino que también proporciona un marco para fomentar la sostenibilida= d en la región. Las metodologías empleadas y la importancia de los datos obtenidos serán claves para el desarrollo de estrategias efect= ivas en la gestión ambiental.

CONCLUSIONES

El Parque La Isla de Tena es un activo importa= nte para la captura de carbono en la ciudad y la provincia de Napo.<= /span>

Los datos indican que el parque está contribuyendo significativamente a la captura de carbono, lo que permite la sostenibilidad ambiental.

La conservación del parque es esencial = para mantener su función como sumidero de carbono.

La protección contra la deforestación y la degradación garantizará que el parq= ue continúe siendo un recurso valioso.

El parque puede desempeñar un papel educativo al informar a la comunidad sobre la relevancia de los árbo= les y la vegetación en el amortiguamiento del cambio climático.

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Todo= el contenido de LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, publicados en este sitio está disponibles bajo Licencia Creative Commons 3D"https://revistacientifica.uamericana.edu.py/public/site/images/aduar=.

 

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LATAM Revista Latinoamericana de Ciencias Sociales= y Humanidades, Asunción, Paraguay.

ISSN en línea: 2789-3855, noviembre, 2024, Volumen V, Número 5 p 5356.

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