Forest Inventory

Author(s):  
Onyekachi Chukwu ◽  
Japheth H. Dau

Data and information are required to manage a renewable natural resource (such as forest) sustainably. This information is largely obtained through forest inventories. Forest inventory is very important in forest management since it provides the data for planning, monitoring, evaluation, research, growth and yield, biodiversity, and timber sale. Inadequate and/or irregular forest inventory has resulted to paucity of data on which forest management decisions can be based. This study aimed at enlightening conservationists, ecologists, environmentalists, and forest managers on the need to carryout diversity assessment and inventory of flora and fauna resources within their forest ecosystems. This will help to ensure sustainable yield and prevent the extinction of economic trees and endangered animal species in the tropical dry forests. The study therefore recommended that inventory should be carryout among the tropical dry forests at regular intervals.

2018 ◽  
Author(s):  
Luis Daniel Avila Cabadilla ◽  
Mariana Álvarez

2021 ◽  
Author(s):  
Bonnie G. Waring ◽  
Mark E. De Guzman ◽  
Dan V. Du ◽  
Juan M. Dupuy ◽  
Maga Gei ◽  
...  

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Matieu Henry ◽  
Zaheer Iqbal ◽  
Kristofer Johnson ◽  
Mariam Akhter ◽  
Liam Costello ◽  
...  

Abstract Background National forest inventory and forest monitoring systems are more important than ever considering continued global degradation of trees and forests. These systems are especially important in a country like Bangladesh, which is characterised by a large population density, climate change vulnerability and dependence on natural resources. With the aim of supporting the Government’s actions towards sustainable forest management through reliable information, the Bangladesh Forest Inventory (BFI) was designed and implemented through three components: biophysical inventory, socio-economic survey and remote sensing-based land cover mapping. This article documents the approach undertaken by the Forest Department under the Ministry of Environment, Forests and Climate Change to establish the BFI as a multipurpose, efficient, accurate and replicable national forest assessment. The design, operationalization and some key results of the process are presented. Methods The BFI takes advantage of the latest and most well-accepted technological and methodological approaches. Importantly, it was designed through a collaborative process which drew from the experience and knowledge of multiple national and international entities. Overall, 1781 field plots were visited, 6400 households were surveyed, and a national land cover map for the year 2015 was produced. Innovative technological enhancements include a semi-automated segmentation approach for developing the wall-to-wall land cover map, an object-based national land characterisation system, consistent estimates between sample-based and mapped land cover areas, use of mobile apps for tree species identification and data collection, and use of differential global positioning system for referencing plot centres. Results Seven criteria, and multiple associated indicators, were developed for monitoring progress towards sustainable forest management goals, informing management decisions, and national and international reporting needs. A wide range of biophysical and socioeconomic data were collected, and in some cases integrated, for estimating the indicators. Conclusions The BFI is a new information source tool for helping guide Bangladesh towards a sustainable future. Reliable information on the status of tree and forest resources, as well as land use, empowers evidence-based decision making across multiple stakeholders and at different levels for protecting natural resources. The integrated socio-economic data collected provides information about the interactions between people and their tree and forest resources, and the valuation of ecosystem services. The BFI is designed to be a permanent assessment of these resources, and future data collection will enable monitoring of trends against the current baseline. However, additional institutional support as well as continuation of collaboration among national partners is crucial for sustaining the BFI process in future.


1987 ◽  
Vol 17 (5) ◽  
pp. 442-447
Author(s):  
Tiberius Cunia

The approach used by Cunia to combine the error from sample plots with the error from volume or biomass tables when Continuous Forest Inventory (CFI) estimates of current values and growth are calculated is extended to the CFI systems using Sampling with Partial Replacement (SPR). The formulae are derived for the case of SPR on two measurement occasions when (i) volume or biomass tables are constructed from linear regressions for which an estimate of the covariance matrix of the regression coefficients is known, and (ii) the sample plots or points are selected by random sampling independently of the given volume or biomass regression functions.


2021 ◽  
Author(s):  
Fabián Alejandro Rubalcava‐Castillo ◽  
Joaquín Sosa‐Ramírez ◽  
José de Jesús Luna‐Ruíz ◽  
Arturo Gerardo Valdivia‐Flores ◽  
Luis Ignacio Íñiguez‐Dávalos

Author(s):  
Marcos André Moura Dias ◽  
Claudia Silva Gomes Bomfim ◽  
Dalila Ribeiro Rodrigues ◽  
Aleksandro Ferreira da Silva ◽  
Jéssica Caroline Souza Santos ◽  
...  

2019 ◽  
Vol 221 ◽  
pp. 707-721 ◽  
Author(s):  
Vaughn Smith ◽  
Carlos Portillo-Quintero ◽  
Arturo Sanchez-Azofeifa ◽  
Jose L. Hernandez-Stefanoni

Insects ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 103
Author(s):  
Robin Casalla Daza ◽  
Judith Korb

The mechanisms that structure species communities are still debated. We addressed this question for termite assemblages from tropical dry forests in Colombia. These forests are endangered and poorly understood ecosystems and termites are important ecosystem engineers in the tropics. Using biodiversity and environmental data, combined with phylogenetic community analyses, trait mapping, and stable isotopes studies, we investigated the termite community composition of three protected dry forests in Colombia. Our data suggest that the structuring mechanisms differed between sites. Phylogenetic overdispersion of termite assemblages correlated with decreasing rainfall and elevation and increasing temperature. Food niche traits—classified as feeding groups and quantified by δ15N‰ and δ13C‰ isotope signatures—were phylogenetically conserved. Hence, the overdispersion pattern implies increasing interspecific competition with decreasing drier and warmer conditions, which is also supported by fewer species occurring at the driest site. Our results are in line with a hypothesis that decreased biomass production limits resource availability for termites, which leads to competition. Along with this comes a diet shift: termites from drier plots had higher δ13C signatures, reflecting higher δ13C values in the litter and more C4 plants. Our study shows how a phylogenetic community approach combined with trait analyses can contribute to gaining the first insights into mechanisms structuring whole termite assemblages.


Sign in / Sign up

Export Citation Format

Share Document