Effect of forest disturbance on ant (Hymenoptera: Formicidae) diversity in a Mexican tropical dry forest canopy

2020 ◽  
Author(s):  
Jaime Hernández‐Flores ◽  
Alejandro Flores‐Palacios ◽  
Miguel Vásquez‐Bolaños ◽  
Víctor Hugo Toledo‐Hernández ◽  
Ofelia Sotelo‐Caro ◽  
...  
Keyword(s):  
Forest Canopy ◽  
Forest Disturbance ◽  
Tropical Dry Forest ◽  
Dry Forest

scholarly journals A model for the importance of large arborescent palms in the dynamics of seasonally-dry amazonian forests

2005 ◽  
Vol 5 (2) ◽  
pp. 151-156 ◽  
Author(s):  
Rodolfo Salm ◽  
Euphly Jalles-Filho ◽  
Cynthia Schuck-Paim
Keyword(s):  
Forest Regeneration ◽  
Forest Canopy ◽  
Forest Succession ◽  
Secondary Forest ◽  
Forest Disturbance ◽  
Dry Forest ◽  
Forest Patch ◽  
Seasonally Dry ◽  
Palm Trees ◽  
Amazonian Forests

In this study we propose a model that represents the importance of large arborescent palms in the dynamics of seasonally-dry Amazonian forests. Specifically, the model is aimed at guiding the investigation of the role of large arborescent palms on forest regeneration and succession. Following disturbance, the high level of luminosity reaching recently formed forest gaps favors the quick proliferation of shade-intolerant lianas that, by casting shade on the crowns of mature forest trees and increasing tree-fall probability, suppress forest succession. Due to their columnar architecture palm trees are, however, not severely affected by vines. As the palms grow, the canopy at the gaps becomes gradually higher and denser, progressively obstructing the passage of light, thus hindering the growth of shade-intolerant lianas and enabling late-successional tree development and forest regeneration. Owing to the long time associated with forest regeneration, the model cannot be tested directly, but aspects of it were examined with field data collected at an Attalea maripa-rich secondary forest patch within a matrix of well-preserved seasonally-dry forest in the Southeastern Amazon. The results indicate that (1) forest disturbance is important for the recruitment of large arborescent palms species, (2) these palms can grow rapidly after an event of disturbance, restoring forest canopy height and density, and (3) secondary forest dominated by palm trees species may be floristically similar to nearby undisturbed forests, supporting the hypothesis that the former has undergone regeneration, as purported in the model.

scholarly journals Canopy Temperature Differences between Liana-Infested and Non-Liana Infested Areas in a Neotropical Dry Forest

Forests ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 890 ◽  
Author(s):  
Xu Yuan ◽  
Kati Laakso ◽  
Philip Marzahn ◽  
G. Arturo Sanchez-Azofeifa
Keyword(s):  
Land Surface ◽  
Large Scale ◽  
Forest Disturbance ◽  
Statistical Tests ◽  
Tropical Dry Forest ◽  
Thermal Infrared ◽  
Dry Forest ◽  
Woody Vines ◽  
Forest Gaps ◽  
Higher Temperature

Lianas (woody vines) are important non-structural elements of all tropical forests. Current field observations across the Neotropics suggest that liana abundance is rising as a result of forest disturbance, increasing atmospheric CO2, and more frequent extreme climate events. Lianas can cause mechanical stress on their host trees, thus increasing mortality, in addition to potentially reducing carbon storage capacity. Furthermore, previous studies have suggested that liana leaves have an overall higher temperature than tree leaves, which presents the question of whether these differences can be extended from the leaf to the canopy. In this context, the ability to detect these temperature differences from a remote sensing platform has so far not been put into test, despite the importance such knowledge can have in large-scale land surface modeling studies and liana extent monitoring. To partially fill this knowledge gap, we acquired thermal infrared data using an unmanned aerial vehicle (UAV) system over an intermediate tropical dry forest in Costa Rica, Central America. Classification results from a previous study in the same area were used to subset the thermal infrared images into liana-infested areas, non-liana infested areas, and forest gaps. The temperature differences between these three image components were then investigated using the Welch and Games–Howell post-hoc statistical tests. Our results suggest that liana-infested areas have, on average, a statistically significant higher temperature than non-liana infested areas. Shadowed forest gaps, used as reference, have a cooler temperature than forest canopies. Our findings on the temperature differences between liana-infested and non-liana infested areas support previous leaf-level observations and open the door to the use of new approaches for the classification and modeling of liana infestation in tropical ecosystems.

scholarly journals How BFAST Trend and Seasonal Model Components Affect Disturbance Detection in Tropical Dry Forest and Temperate Forest

2021 ◽  
Vol 13 (11) ◽  
pp. 2033
Author(s):  
Yan Gao ◽  
Jonathan V. Solórzano ◽  
Alexander Quevedo ◽  
Jaime Octavio Loya-Carrillo
Keyword(s):  
Time Series ◽  
Forest Disturbance ◽  
Accuracy Assessment ◽  
Tropical Dry Forest ◽  
Dry Forest ◽  
Historical Period ◽  
Forest Types ◽  
Seasonal Model ◽  
Model Components ◽  
Disturbance Detection

Time series analysis has gained popularity in forest disturbance monitoring thanks to the availability of satellite and airborne remote sensing images and the development of different time series methods for change detection. Previous research has focused on time series data noise reduction, the magnitude of breakpoints, and accuracy assessment; however, few have looked in detail at how the trend and seasonal model components contribute to disturbance detection in different forest types. Here, we use Landsat time series images spanning 1994–2018 to map forest disturbance in a western Pacific area of Mexico, where both temperate and tropical dry forests have been subject to severe deforestation and forest degradation processes. Since these two forest types have distinct seasonal characteristics, we investigate how trend and seasonal model components, such as the goodness-of-fit (R2), magnitude of change, amplitude, and model length in a stable historical period, affect forest disturbance detection. We applied the Breaks For Additive Season and Trend Monitor (BFAST) algorithm and after accuracy assessment by stratified random sample points, and we obtained 68% and 86% of user accuracy and 75.6% and 86% of producer’s accuracy in disturbance detection, in tropical dry forests and temperate forests, respectively. We extracted the noncorrelated trend and seasonal model components R2, magnitude, amplitude, length of the stable historical period, and percentage of pixels with NA and tested their effects on disturbance detection employing forest-type specific logistic regression. Our results showed that, for all forests combined, the amplitude and stable historical period length contributed to disturbance detection. While for tropical dry forest alone, amplitude was the main predictor, and for the temperate forest alone, the stable historical period length contributed most to the prediction, although it was not statistically significant. These findings provide insights for improving the results of forest disturbance detection in different forest types.

Effects of hurricane disturbance on a tropical dry forest canopy in western Mexico

2018 ◽  
Vol 426 ◽  
pp. 39-52 ◽  
Author(s):  
Geoffrey Parker ◽  
Angelina Martínez-Yrízar ◽  
Juan C. Álvarez-Yépiz ◽  
Manuel Maass ◽  
Salvador Araiza
Keyword(s):  
Forest Canopy ◽  
Tropical Dry Forest ◽  
Dry Forest ◽  
Western Mexico ◽  
Hurricane Disturbance

Colonization Strategies of Two Liana Species in a Tropical Dry Forest Canopy

Biotropica ◽  
2007 ◽  
Vol 39 (3) ◽  
pp. 393-399 ◽  
Author(s):  
Gerardo Avalos ◽  
Stephen S. Mulkey ◽  
Kaoru Kitajima ◽  
S. Joseph Wright
Keyword(s):  
Forest Canopy ◽  
Tropical Dry Forest ◽  
Dry Forest

scholarly journals Occurrence of termites (Isoptera) on living and standing dead trees in a tropical dry forest in Mexico

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4731 ◽  
Author(s):  
Nancy Calderón-Cortés ◽  
Luis H. Escalera-Vázquez ◽  
Ken Oyama
Keyword(s):  
Forest Canopy ◽  
Dead Wood ◽  
Tropical Dry Forest ◽  
Dry Forest ◽  
Dead Tree ◽  
Ecological Processes ◽  
Dead Trees ◽  
Standing Dead ◽  
Standing Dead Trees ◽  
Main Factor

Termites play a key role as ecosystem engineers in numerous ecological processes though their role in the dynamics of wood degradation in tropical dry forests, particularly at the level of the crown canopy, has been little studied. In this study, we analysed the occurrence of termites in the forest canopy by evaluating the density and proportion of living and standing dead trees associated with termites in deciduous and riparian habitats of the tropical dry forest in Chamela, Mexico. The results indicated that 60–98% of standing dead trees and 23–59% of living trees in Chamela were associated with termites. In particular, we found that the density of standing dead trees was higher in deciduous forests (0.057–0.066 trees/m2) than in riparian forests (0.022 and 0.027 trees/m2), even though the proportion of trees was not significantly different among habitats. Additionally, we found a higher density of trees associated with termites in trees of smaller size classes (0.01–0.09 trees/m2) than in larger class sizes (0–0.02 trees/m2). Interestingly, 72% of variation in the density of trees associated with termites is explained by the density of standing dead trees. Overall, these results indicate that standing dead tree availability might be the main factor regulating termite populations in Chamela forest and suggest that termites could play a key role in the decomposition of above-ground dead wood, mediating the incorporation of suspended and standing dead wood into the soil.

scholarly journals Hymenochaete cifuentesii, H. potosina, and H. raduloides spp. nov. from the tropical dry forest of Mexico

Mycotaxon ◽  
2018 ◽  
Vol 133 (3) ◽  
pp. 499-512 ◽  
Author(s):  
Magdalena Contreras-Pacheco ◽  
Ricardo Valenzuela ◽  
Tania Raymundo ◽  
Leticia Pacheco
Keyword(s):  
Tropical Dry Forest ◽  
Dry Forest

Dynamic seed zones to guide climate-smart seed sourcing for tropical dry forest restoration in Colombia

2021 ◽  
Vol 490 ◽  
pp. 119127
Author(s):  
Tobias Fremout ◽  
Evert Thomas ◽  
Kelly Tatiana Bocanegra-González ◽  
Carolina Adriana Aguirre-Morales ◽  
Anjuly Tatiana Morillo-Paz ◽  
...  
Keyword(s):  
Forest Restoration ◽  
Tropical Dry Forest ◽  
Dry Forest ◽  
Seed Zones ◽  
Dry Forest Restoration ◽  
Seed Sourcing

scholarly journals Spondias tuberosa Arruda (Anacardiaceae), a threatened tree of the Brazilian Caatinga?

2016 ◽  
Vol 77 (3) ◽  
pp. 542-552 ◽  
Author(s):  
J. Mertens ◽  
J. Germer ◽  
J. A. Siqueira Filho ◽  
J. Sauerborn
Keyword(s):  
Tropical Dry Forest ◽  
Threat Assessment ◽  
Red List ◽  
Dry Forest ◽  
International Union ◽  
Population Decrease ◽  
Domestic Ruminants ◽  
Spondias Tuberosa ◽  
Iucn Assessment ◽  
Additional Income

Abstract Spondias tuberosa Arr., a fructiferous tree endemic to the northeast Brazilian tropical dry forest called Caatinga, accounts for numerous benefits for its ecosystem as well as for the dwellers of the Caatinga. The tree serves as feed for pollinators and dispersers as well as fodder for domestic ruminants, and is a source of additional income for local smallholders and their families. Despite its vantages, it is facing several man-made and natural threats, and it is suspected that S. tuberosa could become extinct. Literature review suggests that S. tuberosa suffers a reduced regeneration leading to population decrease. At this juncture S. tuberosa cannot be considered threatened according to the International Union for Conservation of Nature Red List Categories and Criteria, as it has not yet been assessed and hampered generative regeneration is not considered in the IUCN assessment. The combination of threats, however, may have already caused an extinction debt for S. tuberosa. Due to the observed decline in tree density, a thorough assessment of the S. tuberosa population is recommended, as well as a threat assessment throughout the entire Caatinga.

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