Article
Forestry
Clemir Candeia de Oliveira, Fernando Roberto Martins, Bruno Cruz Souza, Everardo Valadares de Sa Barretto Sampaio, Maria Iracema Bezerra Loiola, Arlete Aparecida Soares
Summary: Understanding the recovery time of vegetation structure and species composition is important for the conservation of seasonally deciduous tropical forests, especially for the semi-arid Brazilian Caatinga. This study estimated that it takes more than 35 years for the forest to recover and return to a composition and structure similar to the original one. Therefore, management plans should restrict destructive uses before at least 35 years of regeneration have been reached.
Article
Environmental Sciences
Tobias Fremout, Jorge Cobian-De Vinatea, Evert Thomas, Wilson Huaman-Zambrano, Mike Salazar-Villegas, Daniela Limache-de la Fuente, Paulo N. Bernardino, Rachel Atkinson, Elmar Csaplovics, Bart Muys
Summary: Remote sensing-based approach is developed to map forest degradation status in heterogeneous landscapes with a long-standing degradation history for the planning of restoration interventions.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Forestry
Claire Gely, Susan G. W. Laurance, Nigel E. Stork
Summary: Climate change is predicted to intensify droughts, leading to increased insect attack and tree mortality in temperate forests. The impact of drought on tropical rainforests remains less known. Severe drought conditions may increase wood-boring insect attack, potentially affecting long-term tree health and mortality.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Ecology
Stephanie P. George-Chacon, Jean Francois Mas, Juan Manuel Dupuy, Miguel Angel Castillo-Santiago, Jose Luis Hernandez-Stefanoni
Summary: Spatial information on forest age can be accurately assessed from Landsat time series, and the combination of stand age with chronosequence data can reduce the overestimation of aboveground biomass of recovering forests commonly found in remotely sensed data. The distribution of young forests in dry tropical forests in the Yucatan peninsula varies among different forest types, with lower producer accuracy values indicating a potential underestimation of young forest extensions.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2022)
Article
Ecology
Patcharapan Thripob, Claire Fortunel, Maxime Rejou-Mechain, Anuttara Nathalang, Wirong Chanthorn
Summary: There is increasing evidence that intraspecific trait variation plays a role in governing rates of ecosystem functioning. This study found that intraspecific variation in wood specific gravity (WSG) and wood carbon concentration (WCC) is mainly driven by tree size, while local environmental conditions have no effect on wood trait variability. Although size-dependent variation in WSG and WCC has a limited impact on forest carbon assessment approaches, further research is needed.
FUNCTIONAL ECOLOGY
(2022)
Article
Forestry
Chang Liu, Wenzhi Du, Honglin Cao, Chunyu Shen, Lei Ma
Summary: Forest fragmentation affects associated endogenous hormones and their correlation with aboveground biomass storage. It threatens aboveground biomass and impacts biodiversity and ecosystem functioning. This study investigates the influence of forest fragmentation on aboveground biomass in forest fragments, examining differences between forest edges and interiors, and the role of plant community characteristics and endogenous hormones.
Article
Geography, Physical
Pierre Migolet, Kalifa Goita, Aurelie Flore Koumba Pambo, Aboubakar Ndjoungui Mambimba
Summary: In this study, optical, LiDAR, and PolInSAR data were used to develop models for estimating total dry aboveground biomass over the tropical forests in the Congo Basin. Remote sensing-based variables like texture, median canopy height, and backscattering coefficient were used individually or in combination to develop AGB models based on the multivariate adaptive regression splines approach. The best performance in AGB estimation was achieved by combining optical, LiDAR, and radar data.
GISCIENCE & REMOTE SENSING
(2022)
Article
Forestry
Cinthia Pereira de Oliveira, Rinaldo Luiz Caraciolo Ferreira, Jose Antonio Aleixo da Silva, Robson Borges de Lima, Emanuel Araujo Silva, Anderson Francisco da Silva, Josias Divino Silva de Lucena, Nattan Adler Tavares dos Santos, Iran Jorge Correa Lopes, Mayara Maria de Lima Pessoa, Cybelle Lais Souto-Maior Sales de Melo
Summary: This study utilizes forest inventory data and LiDAR technology to pioneer biomass and carbon estimates in a dry tropical forest in Brazil, demonstrating the utility of LiDAR data for estimating biomass and total carbon levels. The findings provide valuable information on the spatial distribution of TAGB and TAGC in the study area, which can be used for optimal carbon sequestration management.
Article
Ecology
Nidhi Jha, Nitin Kumar Tripathi, Nicolas Barbier, Salvatore G. P. Virdis, Wirong Chanthorn, Gaelle Viennois, Warren Y. Brockelman, Anuttara Nathalang, Sissades Tongsima, Nophea Sasaki, Raphael Pelissier, Maxime Rejou-Mechain
Summary: Estimating forest biomass in tropical regions using passive remote sensing signals is challenging due to large uncertainty. In this study, researchers compared three medium- to high-resolution passive satellite sensors for mapping aboveground biomass in a forest landscape in Thailand. Results showed that Worldview-3 and Sentinel-2B outperformed Landsat-8 in extrapolating aboveground biomass, likely due to their red-edge band inclusion and higher spatial and spectral resolution. Sensitivity to large aboveground biomass values was higher for Worldview-3 than for Sentinel-2B and Landsat-8.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2021)
Article
Forestry
Bao Huy, Nguyen Quy Truong, Nguyen Quy Khiem, Krishna P. Poudel, Hailemariam Temesgen
Summary: This study developed deep learning models to predict aboveground biomass (AGB) in tropical evergreen broadleaf forests and compared them with traditional regression equations. The DL models showed significantly higher reliability in predicting AGB compared to regression equations with the same input variables.
FOREST ECOLOGY AND MANAGEMENT
(2022)
Article
Forestry
Florian Oberleitner, Carola Egger, Sarah Oberdorfer, Stefan Dullinger, Wolfgang Wanek, Peter Hietz
Summary: Tropical secondary forests play a crucial role in carbon sequestration and biodiversity conservation, but their recovery rates vary widely and are influenced by various environmental factors. Aboveground biomass recovers quickly in the early stages of succession, while tree species richness increases at a slower pace. Recovery rates differ significantly among forests.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Forestry
Francisco Carlos Barboza Nogueira, Erika Kirsten Dobe, Jeronimo Barroso Silva Filho, Ligia Soares Rodrigues
Summary: The study aimed to develop allometric equations to estimate aboveground biomass of Dalbergia cearensis trees in the semiarid region of Brazil. Six out of eight regression models developed showed acceptable performance statistics, with the model using single compound predictive variables DH being the most robust. The methodology applied in this study can be used to estimate biomass and volume of other species in the Brazilian seasonally dry tropical forest.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Multidisciplinary Sciences
Aida Cuni-Sanchez, Martin J. P. Sullivan, Philip J. Platts, Simon L. Lewis, Rob Marchant, Gerard Imani, Wannes Hubau, Iveren Abiem, Hari Adhikari, Tomas Albrecht, Jan Altman, Christian Amani, Abreham B. Aneseyee, Valerio Avitabile, Lindsay Banin, Rodrigue Batumike, Marijn Bauters, Hans Beeckman, Serge K. Begne, Amy C. Bennett, Robert Bitariho, Pascal Boeckx, Jan Bogaert, Achim Braeuning, Franklin Bulonvu, Neil D. Burgess, Kim Calders, Colin Chapman, Hazel Chapman, James Comiskey, Thales de Haulleville, Mathieu Decuyper, Ben DeVries, Jiri Dolezal, Vincent Droissart, Corneille Ewango, Senbeta Feyera, Aster Gebrekirstos, Roy Gereau, Martin Gilpin, Dismas Hakizimana, Jefferson Hall, Alan Hamilton, Olivier Hardy, Terese Hart, Janne Heiskanen, Andreas Hemp, Martin Herold, Ulrike Hiltner, David Horak, Marie-Noel Kamdem, Charles Kayijamahe, David Kenfack, Mwangi J. Kinyanjui, Julia Klein, Janvier Lisingo, Jon Lovett, Mark Lung, Jean-Remy Makana, Yadvinder Malhi, Andrew Marshall, Emanuel H. Martin, Edward T. A. Mitchard, Alexandra Morel, John T. Mukendi, Tom Muller, Felix Nchu, Brigitte Nyirambangutse, Joseph Okello, Kelvin S. -H. Peh, Petri Pellikka, Oliver L. Phillips, Andrew Plumptre, Lan Qie, Francesco Rovero, Moses N. Sainge, Christine B. Schmitt, Ondrej Sedlacek, Alain S. K. Ngute, Douglas Sheil, Demisse Sheleme, Tibebu Y. Simegn, Murielle Simo-Droissart, Bonaventure Sonke, Teshome Soromessa, Terry Sunderland, Miroslav Svoboda, Hermann Taedoumg, James Taplin, David Taylor, Sean C. Thomas, Jonathan Timberlake, Darlington Tuagben, Peter Umunay, Eustrate Uzabaho, Hans Verbeeck, Jason Vleminckx, Goran Wallin, Charlotte Wheeler, Simon Willcock, John T. Woods, Etienne Zibera
Summary: The study reveals that the aboveground carbon stock of a montane African forest network is comparable to that of a lowland African forest network, and is two-thirds higher than default values for these montane forests. The research provides country-specific montane forest AGC stock estimates modeled from the plot network, aiming to guide forest conservation and reforestation interventions. The findings emphasize the need to conserve these biodiverse and carbon-rich ecosystems.
Article
Ecology
Pranab Kumar Pati, Priya Kaushik, M. L. Khan, P. K. Khare
Summary: This study investigates the impact of habitat specific wood specific gravity (WSG) on biomass and carbon stock estimation for both mature and juvenile individuals. The results reveal that biomass and carbon stock estimates using non-specific WSG from a database tend to be overestimated. Therefore, it is recommended to consider habitat specific WSG in non-destructive methods.
Article
Plant Sciences
Dennis Castillo-Figueroa, Andres Gonzalez-Melo, Juan M. Posada
Summary: This study quantified wood density (WD) in 86 upper Andean tree and shrub species and found that WD increases with forest succession. Contrary to the hypothesis, early successional forests had higher community weighted mean WD (CWMwd) than late successional forests, which was attributed to a high proportion of shrubs early in succession. Additionally, forests with high CWMwd had a higher percentage of aboveground net primary production (NPP) attributed to litter.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Environmental Sciences
Pardeep Singh, R. K. Chaturvedi, Ankit Mishra, Lata Kumari, Rishikesh Singh, D. B. Pal, Deen Dayal Giri, Nand Lal Singh, Dhanesh Tiwary, Pradeep Kumar Mishra
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2015)
Article
Forestry
R. K. Chaturvedi, A. S. Raghubanshi
FOREST ECOLOGY AND MANAGEMENT
(2015)
Article
Forestry
R. K. Chaturvedi, A. S. Raghubanshi, J. S. Singh
FOREST ECOLOGY AND MANAGEMENT
(2017)
Article
Plant Sciences
R. K. Chaturvedi, A. S. Raghubanshi, K. W. Tomlinson, J. S. Singh
JOURNAL OF VEGETATION SCIENCE
(2017)
Article
Telecommunications
Rajnish Kumar Chaturvedi, Satish Chand
WIRELESS PERSONAL COMMUNICATIONS
(2020)
Article
Forestry
R. K. Chaturvedi, Anshuman Tripathi, A. S. Raghubanshi, J. S. Singh
Summary: This study evaluated drought survival mechanisms of tropical dry forest trees based on their functional traits, identifying three functional guilds and exploring their impacts under different soil water availability conditions.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Vijyeta Manral, Kiran Bargali, Surendra Singh Bargali, Himani Karki, Ravi Kant Chaturvedi
Summary: This study examined altitudinal and seasonal variations in microbial biomass carbon, nitrogen, and phosphorus in a temperate mixed oak-pine forest in the Central Himalayas, India. The results showed that microbial biomass decreased with increasing altitude, with the highest values during the rainy season and the lowest values during winter. The study also found correlations between microbial biomass and soil physico-chemical properties. The findings suggest that the forest ecosystem employs a nutrient conservation strategy during the rainy season.
Article
Environmental Sciences
Bhawna Negi, Kavita Khatri, Surendra S. Bargali, Kiran Bargali, Archana Fartyal, R. K. Chaturvedi
Summary: This study assessed the impacts of the invasive plant Ageratina adenophora on vegetational attributes and regeneration status in three forest types in the Kumaun region of the Central Himalaya. The results showed that the invaded sites had higher densities of cut stumps or felled trees compared to uninvaded sites, but fewer fire signs. Woody species richness and diversity were lower in invaded Oak and Pine forests. There were no significant differences in the regeneration of tree species between invaded and uninvaded sites. However, tree species with poor or no regeneration status require special attention and management strategies to control invasive species in forest ecosystems.
JOURNAL OF MOUNTAIN SCIENCE
(2023)
Article
Ecology
Prasant Kumar Singh, Santosh Kumar Prajapati, Kumari Sunita, Ravi Kant Chaturvedi
Summary: The study focuses on the disappearance of important medicinal plants in tropical dry forests (TDF) due to overexploitation of forest resources. It investigates the diversity of medicinal plants exposed to varying levels of anthropogenic disturbance and analyzes differences in soil properties and vegetation parameters between low and high disturbed sites. The results suggest that forest managers need to consider anthropogenic disturbances in their efforts to conserve medicinal plants in TDFs.
FRONTIERS IN FORESTS AND GLOBAL CHANGE
(2022)
Article
Ecology
Sachchidanand Tripathi, Rahul Bhadouria, Pratap Srivastava, Rajkumari S. Devi, Ravikant Chaturvedi, A. S. Raghubanshi
ECOLOGICAL PROCESSES
(2020)
Proceedings Paper
Automation & Control Systems
Rajnish Kumar Chaturvedi, Satish Chand
PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS)
(2018)
Proceedings Paper
Computer Science, Theory & Methods
Rajnish Kumar Chaturvedi, Satish Chand
PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INVENTIVE COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICICCT)
(2018)
Article
Ecology
Hariom Sharan Bahuguna, R. K. Chaturvedi, G. S. Rajwar
Review
Multidisciplinary Sciences
R. K. Chaturvedi, J. S. Singh
PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY
(2017)
Review
Multidisciplinary Sciences
J. S. Singh, R. K. Chaturvedi
PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY
(2017)