scholarly journals Haiti has more forest than previously reported: land change 2000–2015

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9919
Author(s):  
Ose Pauleus ◽  
T. Mitchell Aide
Keyword(s):  
Land Use ◽  
International Institutions ◽  
Forest Cover ◽  
Landsat Imagery ◽  
Google Earth ◽  
Land Change ◽  
Land Use Patterns ◽  
Forest Patches ◽  
Barren Land ◽  
Use Patterns

Estimates of forest cover have important political, conservation, and funding implications, but methods vary greatly. Haiti has often been cited as one of the most deforested countries in the world, yet estimates of forest cover range from <1% to 33%. Here, we analyze land change for seven land cover classes (forest, shrub land, agriculture/pasture, plantation, urban/infrastructure, barren land, and water) between 2000 and 2015 using Landsat imagery (30 m resolution) in the Google Earth Engine platform. Forest cover was estimated at 26% in 2000 and 21% in 2015. Although forest cover is declining in Haiti, our quantitative analysis resulted in considerably higher forest cover than what is usually reported by local and international institutions. Our results determined that areas of forest decline were mainly converted to shrubs and mixed agriculture/pasture. An important driver of forest loss and degradation could be the high demand for charcoal, which is the principal source of cooking fuel. Our results differ from other forest cover estimates and forest reports from national and international institutions, most likely due to differences in forest definition, data sources, spatial resolution, and methods. In the case of Haiti, this work demonstrates the need for clear and functional definitions and classification methods to accurately represent land use/cover change. Regardless of how forests are defined, forest cover in Haiti will continue to decline unless corrective actions are taken to protect remaining forest patches. This can serve as a warning of the destructive land use patterns and can help us target efforts for better planning, management, and conservation.

scholarly journals Investigating impact of land-use and land cover changes on hydro-ecological balance using GIS: insights from IIT Bombay, India

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Aman Srivastava ◽  
Pennan Chinnasamy
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Surface Runoff ◽  
Forest Cover ◽  
Google Earth ◽  
Negative Consequences ◽  
Ecological Stability ◽  
Barren Land ◽  
Ecological Balance ◽  
Lulc Changes

AbstractThe present study, for the first time, examined land-use land cover (LULC), changes using GIS, between 2000 and 2018 for the IIT Bombay campus, India. Objective was to evaluate hydro-ecological balance inside campus by determining spatio-temporal disparity between hydrological parameters (rainfall-runoff processes), ecological components (forest, vegetation, lake, barren land), and anthropogenic stressors (urbanization and encroachments). High-resolution satellite imageries were generated for the campus using Google Earth Pro, by manual supervised classification method. Rainfall patterns were studied using secondary data sources, and surface runoff was estimated using SCS-CN method. Additionally, reconnaissance surveys, ground-truthing, and qualitative investigations were conducted to validate LULC changes and hydro-ecological stability. LULC of 2018 showed forest, having an area cover of 52%, as the most dominating land use followed by built-up (43%). Results indicated that the area under built-up increased by 40% and playground by 7%. Despite rapid construction activities, forest cover and Powai lake remained unaffected. This anomaly was attributed to the drastically declining barren land area (up to ~ 98%) encompassing additional construction activities. Sustainability of the campus was demonstrated with appropriate measures undertaken to mitigate negative consequences of unwarranted floods owing to the rise of 6% in the forest cover and a decline of 21% in water hyacinth cover over Powai lake. Due to this, surface runoff (~ 61% of the rainfall) was observed approximately consistent and being managed appropriately despite major alterations in the LULC. Study concluded that systematic campus design with effective implementation of green initiatives can maintain a hydro-ecological balance without distressing the environmental services.

scholarly journals Turismo basado en naturaleza y conservación biológica: decisiones de uso de suelo en Mindo/ Nature-based tourism and biological conservation: land-use decisions in Mindo

2018 ◽  
pp. 178-198
Author(s):  
Jorje Ignacio Zalles
Keyword(s):  
Land Use ◽  
Forest Restoration ◽  
Forest Cover ◽  
Economic Incentive ◽  
Natural State ◽  
Biological Conservation ◽  
Native Forest ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Land Use Decisions

El turismo basado en naturaleza se reconoce como un incentivo económico indirecto para la conservación biológica. En particular, se espera que las visitas dirigidas a observación de vida silvestre en estado natural aporten al establecimiento de patrones de uso de suelo favorables para la integridad biológica de los paisajes destino. La localidad de Mindo se ha consolidado en décadas recientes como receptora de turismo basado en naturaleza. Este artículo analiza el papel que juega el turismo en decisiones de uso de suelo tendientes al incremento de cobertura forestal nativa en Mindo. Se describe el marco institucional asociado al turismo y se elabora un mapa cognitivo de las decisiones de uso de suelo por participantes en un programa de restauración forestal. La mejora del atractivo turístico mediante restauración forestal es un importante factor de agencia individual en cuanto a uso de suelo en Mindo. Existen desafíos institucionales, sin embargo, que allí limitan el potencial del turismo como fuerza motriz para el incremento en cobertura forestal, y por ende su contribución a la conservación biológica en términos de paisaje. Abstract Nature-based tourism is recognized as an indirect economic incentive for biological conservation. In particular, the expectation is that visits aimed at the observation of wildlife in its natural state will encourage the establishment of land-use patterns that are favorable to the biological integrity of destination landscapes. The locality of Mindo has in recent decades become a well-known destination for nature-based tourism. This article analyzes the role played by tourism in land-use decisions aimed at increasing native forest cover in Mindo. The institutional framework associated with tourism is described, and a cognitive map of land-use decisions by participants in a forest restoration program is presented. The improvement of touristic attractiveness through forest restoration is an important influence on individual agency regarding land use in Mindo. There are institutional challenges, however, that limit tourism´s potential as a land-use driver for increased forest cover, and therefore its contribution to biological conservation at a landscape level.

Solution of export coefficients of nitrogen from different land-use patterns based on Bayesian analysis

2013 ◽  
Vol 68 (3) ◽  
pp. 632-640 ◽  
Author(s):  
Mei Liu ◽  
Jun Lu
Keyword(s):  
Land Use ◽  
Probability Distribution ◽  
River System ◽  
Quality Model ◽  
Land Use Patterns ◽  
Dry Land ◽  
K Value ◽  
Barren Land ◽  
Posterior Probability Distribution ◽  
Use Patterns

The export coefficient model has been applied worldwide to the estimation of non-point source (NPS) pollution. Determining the export coefficients (ECs) from each pollution source and different space–time progressions is problematic because of uncertainty in the ECs of nitrogen from different land-use patterns. Bayesian theory uses the prior probability distribution and likelihood data to generate a posterior probability distribution. The total nitrogen (TN) ECs and stream loss rates K (d−1) for five land-use patterns were estimated by combining published results with monthly data for ChangLe River system for 2004–08. After 104 iterations, the results had small Markov chain Monte Carlo errors and convergence was obtained. Average TN ECs for the entire watershed were 26.1 ± 8.8, 70.3 ± 9.4, 41.7 ± 6.9, 8.9 ± 1.6 and 6.2 ± 0.5 kg ha−1 yr−1 for paddy field, dry land, residential land, woodland and barren land with coefficients of variation (CVs) of 16.9, 6.31, 8.91, 13.3 and 27.9% among sub-catchments respectively. The average K value was 0.33 d−1 with a CV of 11.3%. Estimated ECs, K and the coupling water quality model were used to predict the years 2008 and 2009; the results validated the model. This Bayesian model can determine ECs using prior knowledge and monitored data, overcoming the problems of the regression model. The model facilitates explicit consideration of uncertainty in NPS management.

scholarly journals What is driving declines of montane endemic amphibians? New insights from Mount Bamboutos, Cameroon

Oryx ◽  
2019 ◽  
pp. 1-11 ◽  
Author(s):  
A. M. Tchassem F. ◽  
T. M. Doherty-Bone ◽  
M. M. Kameni N. ◽  
W. P. Tapondjou N. ◽  
J. L. Tamesse ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Changes ◽  
Historical Records ◽  
Land Use Patterns ◽  
Forest Patches ◽  
Amphibian Species ◽  
Use Patterns ◽  
Amphibian Community ◽  
Frog Species ◽  
Forested Areas

Abstract Amphibians on African mountains are threatened by habitat loss and fragmentation, pollution, disease and climate change. In particular, there have been recent reports of declines of montane endemic frogs in Cameroon. Mount Bamboutos, although home to numerous species of endemic amphibians, has no official protection and its amphibian populations have so far not been studied quantitatively. We surveyed frog assemblages on this mountain along a gradient of forest modification over a 2-year period. Through visual encounter surveys stratified across forest and farmland, we found that threatened montane amphibian species are closely associated with forested areas, particularly the Critically Endangered Leptodactylodon axillaris and Endangered Leptodactylodon perreti, Astylosternus ranoides and Cardioglossa oreas. Using the updated inventory of amphibians, which includes species with broader ranges across Africa, we found 69% of amphibian species on Mount Bamboutos to be threatened. We did not record several species present in historical records, which suggests they may have disappeared from this mountain, including Cardioglossa pulchra, Phrynobatrachus steindachneri, Phrynobatrachus werneri, Sclerophrys villiersi, Werneria bambutensis and Wolterstorffina mirei. The pattern of change detected in the amphibian community is consistent with declines on other mountains in the country, with a loss of Phrynobatrachus, Werneria and Cardioglossa spp., but persistence of Astylosternus, Arthroleptis and Leptodacty-lodon. The observed relationships of land-use patterns and amphibian diversity suggest that ongoing land-use changes could extirpate the remaining montane endemic frog species, particularly L. axillaris and L. perreti. Preserving a network of connected forest patches is therefore critical to save the endemic amphibians of Mount Bamboutos.

Conducting “Siteless Survey”: Results from Coastal New England

1993 ◽  
Vol 14 (1) ◽  
pp. 25-42 ◽  
Author(s):  
Jordan E. Kerber
Keyword(s):  
Land Use ◽  
New England ◽  
Rhode Island ◽  
Careful Consideration ◽  
Archaeological Survey ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Statistical Validity ◽  
Survey Results ◽  
Survey Strategy

Selecting an effective archaeological survey takes careful consideration given the interaction of several variables, such as the survey's goals, nature of the data base, and budget constraints. This article provides justification for a “siteless survey” using evidence from a project on Potowomut Neck in Rhode Island whose objective was not to locate sites but to examine the distribution and density of prehistoric remains to test an hypothesis related to land use patterns. The survey strategy, random walk, was chosen because it possessed the advantages of probabilistic testing, as well as the ease of locating sample units. The results were within the limits of statistical validity and were found unable to reject the hypothesis. “Siteless survey” may be successfully applied in similar contexts where the distribution and density of materials, as opposed to ambiguously defined sites, are sought as evidence of land use patterns, in particular, and human adaptation, in general.

scholarly journals Modeling Community-Scale Natural Resource Use in a Transboundary Southern African Landscape: Integrating Remote Sensing and Participatory Mapping

2021 ◽  
Vol 13 (4) ◽  
pp. 631
Author(s):  
Kyle D. Woodward ◽  
Narcisa G. Pricope ◽  
Forrest R. Stevens ◽  
Andrea E. Gaughan ◽  
Nicholas E. Kolarik ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Resource Use ◽  
Training Data ◽  
Systems Science ◽  
Participatory Mapping ◽  
Land Use Patterns ◽  
Modeling Framework ◽  
Use Patterns ◽  
Human Habitation

Remote sensing analyses focused on non-timber forest product (NTFP) collection and grazing are current research priorities of land systems science. However, mapping these particular land use patterns in rural heterogeneous landscapes is challenging because their potential signatures on the landscape cannot be positively identified without fine-scale land use data for validation. Using field-mapped resource areas and household survey data from participatory mapping research, we combined various Landsat-derived indices with ancillary data associated with human habitation to model the intensity of grazing and NTFP collection activities at 100-m spatial resolution. The study area is situated centrally within a transboundary southern African landscape that encompasses community-based organization (CBO) areas across three countries. We conducted four iterations of pixel-based random forest models, modifying the variable set to determine which of the covariates are most informative, using the best fit predictions to summarize and compare resource use intensity by resource type and across communities. Pixels within georeferenced, field-mapped resource areas were used as training data. All models had overall accuracies above 60% but those using proxies for human habitation were more robust, with overall accuracies above 90%. The contribution of Landsat data as utilized in our modeling framework was negligible, and further research must be conducted to extract greater value from Landsat or other optical remote sensing platforms to map these land use patterns at moderate resolution. We conclude that similar population proxy covariates should be included in future studies attempting to characterize communal resource use when traditional spectral signatures do not adequately capture resource use intensity alone. This study provides insights into modeling resource use activity when leveraging both remotely sensed data and proxies for human habitation in heterogeneous, spectrally mixed rural land areas.

Sign in / Sign up

Export Citation Format

Share Document