Modelling land cover changes in the tropical dry forest surrounding the Chamela-Cuixmala biosphere reserve, Mexico

2019 ◽  
Vol 40 (18) ◽  
pp. 6948-6974 ◽  
Author(s):  
Rolando Flores-Casas ◽  
Miguel A. Ortega-Huerta
Author(s):  
Masuma Begum ◽  
Niloy Pramanick ◽  
Anirban Mukhopadhyay ◽  
Sayani Datta Majumdar

In this chapter, satellite images of the years 1995, 2005, and 2015 of LANDSAT have been used. After pre-processing (geometric correction and atmospheric correction using FLAASH, LULC change dynamics have been assessed to estimate the changes in total forest cover in Purulia district through an unsupervised K-means classification scheme. To evaluate the health status, vegetation indices, namely NDVI, SAVI, and CVI, have been used. The increase in NDVI, SAVI, and CVI values was inferred as no significant degradation of Purulia forest cover. Moreover, future scenarios have been predicted by implementing a CA-MARKOV model. Using the land cover map of 1995 as the base map, and from 1995 to 2005 as training data, a land cover map of 2015 has been generated which in turn validated by the actual land cover of 2015. After validation, prediction of land cover was possible for the years 2035 and 2050. The prediction suggested that forest area will increase by approximately 4% from 2015 to 2035 and by 3% from 2035 to 2050.


2014 ◽  
Vol 3 (1) ◽  
pp. 26 ◽  
Author(s):  
David Valenzuela

Abstract. From November 1994 to March 1997, I studied the ecology of the White-nosed coati (Nasua narica; Procyonidae) in the central portion of its geographical range, in the tropical dry forests of the Chamela-Cuixmala Biosphere Reserve (CCBR), Jalisco, Mexico. I present here information about density, group size, diet diversity and feeding habits, ectoparasite load, mortality factors and reproduction. Average density estimates was 42.94 ± 16.88 ind. / km² (mean ± 95 % confidence interval) and average group size was 6.1 ± 0.49 (n = 142). Fecal analysis, demonstrated a trophic niche breadth of 2.674 with 85.11 % of the diet consisting of fruit and arthropods: two resources whose spatio-temporal availability is strongly affected by seasonality. The results are compared with available data and discussed in the context of seasonality effects on the ecology of this species.Resumen. De noviembre de 1994 a marzo de 1997, estudié aspectos de la ecología del coatí (Nasua narica; Procyonidae) en la porción media de su distribución geográfica, en la selva baja caducifolia de la Reserva de la Biosfera de Chamela Cuixmala, Jalisco, México. Presento aquí información sobre su densidad, el tamaño de sus grupos, la diversidad de su dieta y sus hábitos alimentarios, la carga de ectoparásitos, algunos factores de mortalidad y algunos aspectos reproductivos. El promedio de estimaciones de densidad fue 42.94 ± 16.88 ind. / km² (media ± intervalo de confianza al 95%), y el tamaño promedio de grupo fue de 6.1 ± 0.49 (n= 142). El análisis de heces fecales demostró una diversidad trófica de 2.674, y que el 85.11 % de la dieta consiste de frutas y artrópodos: dos recursos cuya disponibilidad espacio-temporal es fuertemente afectada por la estacionalidad climática. Los resultados se discuten en el contexto del los efectos de un ambiente estacional en la ecología de esta especie.Key words: tropical dry forest; climatic seasonality; Jalisco, México; Carnivore; Nasua narica


Forests ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1539
Author(s):  
Marco Heredia-R ◽  
Bolier Torres ◽  
Francisco Cabrera-Torres ◽  
Emma Torres ◽  
Carlos G. H. Díaz-Ambrona ◽  
...  

Land use and land cover change (LULC) is an essential component for the monitoring environmental change and managing natural resources in areas of high natural and cultural biodiversity, such as the Amazon biome. This study was conducted in in the northern Amazon of Ecuador, specifically in the Diversity and Life Zone (DLZ) of the Yasuní Biosphere Reserve (YBR). The general aim was to investigate the territorial dynamics of land use/land cover changes to support policies for environmental and sociocultural protection in the DLZ. Specific objectives included (i) mapping LULC spatial and temporal dynamics in the DLZ in the period from 1999 to 2018, (ii) identifying sensitive LULC hotspots within the DLZ, and (iii) defining the possible policy implications for sustainable land use in the DLZ. Multitemporal satellite imagery from the Landsat series was used to map changes in LULC, which were divided into three-time stages (1999–2009, 2009–2018, 1999–2018). We adopted open-access Landsat images downloaded from the United States Geological Survey (USGS). The processes for assessing LULC in the DLZ included (1) data collection and analysis, (2) data processing for remote sensing, (3) thematic land cover, and (4) homogenization and vectorization of images. The results showed that in the period 1999–2018, most of the uses and land cover were transformed into pastures in the DLZ. Therefore, it is important to improve territorial planning, to avoid conflicts between indigenous populations, migrant settlers, and uncontacted indigenous populations that live in the DLZ, within the YBR.


2019 ◽  
Vol 57 (3) ◽  
pp. 780-787 ◽  
Author(s):  
Carmen Guzmán-Cornejo ◽  
Angel Herrera-Mares ◽  
Ana Ugalde-Medina ◽  
Andrés M López-Pérez ◽  
Laura Del Castillo-Martínez ◽  
...  

Abstract The Chamela Biological Station (ChBS) is located in the Pacific Coast of Mexico in the State of Jalisco. This represents one of the core areas of the Chamela-Cuixmala Biosphere Reserve, characterized by one of the most threatened ecosystems, the tropical dry forest. Although accumulated knowledge of biological diversity, only few studies have been focused on ectoparasites or ectodytes associated with mammals, only 23 arthropod taxa had been recorded. In order to increase knowledge about arthropods associated with Mexican mammals, the objective of this work was to record the richness of arthropods (mites, ticks, lice, and fleas) associated with small and medium-sized mammals in the ChBS. A total of 81 hosts belonging to four orders, six families and nine species were captured. From these hosts, 4,946 arthropods were recovered: 4,007 mites, 673 ticks, 230 lice, and 36 fleas. Among medium-sized mammals, Nasua narica (L.) and Didelphis virginiana Kerr showed the highest levels of richness, with six arthropod taxa; among rodents, Heteromys pictus (Thomas) had the highest number of associated species (five). Within the 22 arthropod taxa registered in the present work, 12 represent new records for the reserve, and 3 represent new records for Mexico. With this study, the arthropod fauna associated with mammals in the ChBS has been raised to 38 taxa. In terms of biological conservation, knowledge of the species that inhabit natural reserves must be a priority, since this represents the baseline for species protected, not only in Mexico but around the world.


2019 ◽  
Vol 112 (4) ◽  
pp. 409-417
Author(s):  
Ma Ventura Rosas-Echeverría ◽  
Carlos Alfredo Coyote-Ávila ◽  
Karla Maria Aguilar-Dorantes ◽  
Concepcion Martínez-Peralta

AbstractIn this study, we carried out an inventory of butterfly diversity and an analysis of alpha and beta diversity considering the effects of phenology and degree of disturbance in tropical dry forest. The study included three localities: Cañadas de Ajuchitlán and El Limón, situated within the Sierra de Huautla Biosphere Reserve (REBIOSH) natural protected area, and San Miguel de los Elotes, which is outside of the REBIOSH. We systematically sampled each of the localities using two collection methods once per month for a full year (April 2013 to March 2014). A total of 4,017 specimens belonging to 119 species and 83 genera were collected. We recorded for the first time the presence of Perichares aurina Evans (Lepidoptera, Hesperiidae), in Mexico, 14 additional Hesperiidae species were new records for Morelos, Mexico, and 16% of the species recorded in this study are endemic to Mexico. Species richness was highest in August for the two localities (Cañadas de Ajuchitlán and El Limón), located within the REBIOSH. Species richness was highest in November for San Miguel de los Elotes, which is outside of the REBIOSH. In terms of the alpha diversity values (0D, observed diversity), Cañadas de Ajuchitlán had the highest species richness. In the analysis of similarity (Beta diversity), the two localities within the REBIOSH had the highest species similarity, despite being the most geographically distant.


2009 ◽  
Vol 26 (1) ◽  
pp. 13-23 ◽  
Author(s):  
Salvador Mandujano ◽  
Eduardo J. Naranjo

Abstract:Using a data set from 36 studies, we evaluated variation in ungulate biomass across a rainfall gradient using polynomial models, aiming to: (1) compare neotropical and palaeotropical dry and wet forests as well as African savannas; and (2) evaluate the usefulness of polynomial models to predict ungulate biomass at neotropical sites using data from a dry forest (Chamela-Cuixmala Biosphere Reserve, CCBR) and a wet forest (Montes Azules Biosphere Reserve, MABR) in Mexico. Our results showed that an overestimation of expected ungulate biomass can be obtained for some tropical forests if data from African savannas are included in the model. This overestimation was particularly high for predicted ungulate biomass in neotropical dry forests. These ecosystems sustain different ungulate biomass values even when rainfall is similar. This was particularly true for some tropical dry forests and savannas. Rainfall predicted the expected ungulate biomass in neotropical ecosystems relative to that of palaeotropical ones under similar precipitation regimes, but did not correctly predict the observed ungulate biomass at local level if data outside the Neotropics are included in the model. This was more evident when we compared observed biomass against predicted biomass in the tropical dry forest of CCBR, while some polynomial models successfully predicted the observed biomass for the tropical wet forest of MABR. Factors such as Pleistocene extinctions and the absence of large, native grazers (i.e. Bovidae) that have kept ungulate richness and standing biomass relatively low in neotropical forests should be accounted for when comparing data sets from different regions.


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