scholarly journals Impact of Livestock Exclusion on Sidi Toui National Park Vegetation Communities, Tunisia

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Mohamed Tarhouni ◽  
Farah Ben Salem ◽  
Azaiez Ouled Belgacem ◽  
Mohamed Neffati
Keyword(s):  
Land Cover ◽  
National Park ◽  
Landscape Heterogeneity ◽  
Diversity Index ◽  
Environmental Indicators ◽  
Vegetation Dynamic ◽  
Restoration Technique ◽  
Land Cover Map ◽  
The One ◽  
Impact On Biodiversity

The restoration technique importance resides on the assessment of its impact on biodiversity. This assessment is possible by the use of some environmental indicators extracted from a diachronic study of land cover changes in protected areas. Our study is carried out with the evaluation of some indicators inside Sidi Toui national park. These indicators are measured on the one hand from a land cover map of 1988 (3 years before the creation of the park) and the map of 2007 on the other hand (16 years after the park creation). An important landscape heterogeneity, as a result of the progressive vegetation dynamic, was observed in 2007. This heterogeneity is indicated by an increasing of the Shannon diversity index under fencing impacts. The majority of 1988 vegetation units are replaced by new ones in 2007. The cover of all vegetation units is more important in 2007.

scholarly journals ESA SENTINEL 2 IMAGERY AND GBGEOAPP: INTEGRATED TOOLS FOR THE DEOSAI NATIONAL PARK MANAGEMENT PLAN

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 145-151
Author(s):  
M. T. Melis ◽  
F. Dessì ◽  
P. Loddo ◽  
A. Maccioni ◽  
M. Gallo ◽  
...  
Keyword(s):  
Land Cover ◽  
High Altitude ◽  
National Park ◽  
Brown Bear ◽  
Management Plan ◽  
Environmental Data ◽  
Mountain Ranges ◽  
Land Cover Map ◽  
Gilgit Baltistan ◽  
Sentinel 2

Abstract. Deosai plateau, in the Gilgit-Baltistan Province of Pakistan, for its average elevation of 4,114 meters, is the second highest plateau in the world after Changtang Tibetan Plateau. Two biogeographically important mountain ranges merge in Deosai: the Himalayan and Karakorum–Pamir highlands. The Deosai National Park, with its first recognition in 1993, encompasses an area of about 1620 km2, with the altitude ranging from 3500 to 5200 meters a.s.l. It is known and visited by tourists for the presence of brown bear, but a large number of species of fauna and flora leave, and can be seen during the summer season. This high-altitude ecosystem is particularly fragile and can be considered a sentinel for the effects of climate changes.Due to its geographic position and high altitude, the area of Deosai has never been studied in all its ecosystem components, producing high resolution maps. The first land cover map of Deosai with 10 meters of resolution is discussed in this study. This map has been obtained from Sentinel-2 imagery and improved through the new tool developed in this study: the GBGEOApp. This application for mobile has been done with three main ambitions: the validation of the new land cover map, its improvement with land use information, and the collection of new data in the field. On the basis of the results, the use of the GBGEOApp, as a tool for validation and increasing of environmental data collection, seems to be completely applicable involving the local technicians in a process of data sharing.

Land Cover and Landscape Diversity Analysis in the West Polesie Biosphere Reserve

2014 ◽  
Vol 28 (2) ◽  
pp. 153-162 ◽  
Author(s):  
Szymon Chmielewski ◽  
Tadeusz J. Chmielewski ◽  
Piotr Tompalski
Keyword(s):  
Land Cover ◽  
Diversity Index ◽  
Biosphere Reserve ◽  
Shannon Diversity Index ◽  
Landscape Diversity ◽  
The West ◽  
Aerial Photos ◽  
Shannon Diversity ◽  
Land Cover Map ◽  
Window Approach

Abstract The aim of this research was to present the land cover structure and landscape diversity in the West Polesie Biosphere Reserve. The land cover classification was performed using Object Based Image Analysis in Trimble eCognition Developer 8 software. The retrospective land cover changes analysis in 3 lake catchments (Kleszczów, Moszne, Bia³eW³odawskie Lakes)was performed on the basis of archival aerial photos taken in 1952, 1971, 1984, 1992, 2007 and one satellite scene from 2003 (IKONOS).On the basis of land cover map structure, Shannon diversity index was estimated with the moving window approach enabled in Fragstats software. The conducted research has shown that the land cover structure of the West Polesie Biosphere Reserve is diverse and can be simply described by selected landscape metrics. The highest level of land cover diversity, as showed by Shannon Diversity Index, was identified in the western part of the West Polesie Biosphere Reserve, which is closely related to the agricultural character of land cover structure in those regions. The examples of three regional retrospective land cover analyses demonstrated that the character of land cover structure has changed dramatically over the last 40 years.

scholarly journals Dominansi dan Diversitas Lamun dan Makrozoobenthos pada Musim Pancaroba di Pantai Bama, Taman Nasional Baluran, Situbondo [Dominance and Diversity of Seagrass and Macrozoobenthos on Transition Season in Bama Beach, Baluran National Park, Situbondo]

2019 ◽  
Vol 8 (1) ◽  
pp. 36
Author(s):  
Mohammad Faizal Ulkhaqa ◽  
Sapto Andriyono ◽  
Muhammad Hanif Azhara ◽  
Hapsari Kenconojatia ◽  
Daruti Dinda Nindarwi ◽  
...  
Keyword(s):  
National Park ◽  
Diversity Index ◽  
Line Transect ◽  
Dominance Index ◽  
Transition Season ◽  
A Value ◽  
Low Diversity ◽  
The One ◽  
Index Value ◽  
Dry And Rainy Seasons

AbstrakLamun merupakan tanaman berbiji terbuka yang mampu tumbuh dan beradaptasi dengan lingkungan bersalinitas tinggi serta dapat berasosiasi dengan benthos. Keberadaan lamun di perairan merupakan salah satu indikator tingkat kesuburan dan produktivitas perairan. Terdapat perbedaan dominansi antara musim hujan dan musim kemarau, sehingga enelitian ini bertujuan untuk mengidentifikasi dan menghitung dominansi dan keanekaragaman lamun dan makrozoobenthos pada musim pancaroba di Pantai Bama, TN Baluran, Situbondo. Metode penelitian yang digunakan yaitu line transect quadran dengan 5 line transek quadran yang masing-masingnya dipasang 5 plot transek. Ditemukan jenis lamun yang memiliki nilai kelimpahan tertinggi di Pantai Bama, TN Baluran pada musim pancaroba yaitu C. serrulata dengan nilai 48,90% , dan makrozoobenthos dari genus Holothuria dengan nilai 52,06%. Nilai Indeks dominansi (D) mengkategorikan Pantai Bama, TN Baluran dalam perairan dengan dominansi sedang. Sedangkan berdasarkan Indeks keanekaragaman (H’) mengkategorikan Pantai Bama, TN Baluran dalam perairan dengan keanekaragaman rendah. Musim peralihan berpengaruh terhadap jenis, kelimpahan relatif, indeks dominansi dan indeks keanekaragaman lamun dan makrozoobenthos di Pantai Bama, TN Baluran dibandingkan musim kemarau dan hujan. Perlu dilakukan survei secara berkala untuk mengetahui keanekaragaman organisme yang berkaitan dengan produktivitas perairan. AbstractSeagrass is the one of plants that can grow and adaptataion with high salinity environment and associated with benthos. Seagrass presence that indicate the productivity and prosperity in waters environtment. Found a different dominance between rainy season and dry season, so The aims of this study to identify and count dominance and diversity of seagrass and macrozoobenthos on the transition season in Bama Beach, TN Baluran, Situbondo. The method was used is line transect quadran with 5 quadran each of which installed 5 plot transect. Seagrass species was founded that have the highest abundance values in Bama Beach, TN Baluran the transitional season is C. serrulata with a value of 48.90%, and the macrozoobenthos that found from genus Holothuria with a value of 52.06%. Dominance index value (D) categorize Bama Beach, TN Baluran with moderate dominance. While based on the diversity index (H ') categorizes Bama Beach, TN Baluran with low diversity. Transitional seasons affect the type, relative abundance, dominance index and seagrass diversity index and macrozoobenthos in Bama Beach, TN Baluran than the dry and rainy seasons. Needed to investigate the diversity of organism that related to primary produktivity.

scholarly journals Characteristic and Diversity Vegetation of Bukit Tiga Puluh National Park as Dietary Sources for Reintroduced Sumatran Orang Utan (Pongo abelii Lesson)

2019 ◽  
Vol 25 (1) ◽  
pp. 63
Author(s):  
Wanda Kuswanda ◽  
Sriyanti P. Barus
Keyword(s):  
Land Cover ◽  
National Park ◽  
Diversity Index ◽  
Natural Habitat ◽  
Secondary Forests ◽  
Species Diversity Index ◽  
Conservation Area ◽  
Stratification Method ◽  
Vegetation Characteristic ◽  
Orang Utan

<p>The population of Sumatran orang utan in natural habitat has been declined and threatened with extinction. The orang utanreintroduction program is expected to increase breeding and population in nature. This study aimed to analyze the important value index of vegetation as well as the diversity and abundance species of Bukit Tiga Puluh National Park (BTNP) as dietary sources for reintroduced Sumatran orang utan. The research was conducted during two years from 2015 to 2016. The data collection for flora characteristics is done through the vegetation analysis with strip transects method. Plots were selected by stratification method based on the resort management and the land cover, like primary and secondary forests. Total flora species on a plot of 2.8<br />ha were identified about 301 species. The highest variation found in Suo-Suo Resort (139 species) and the lowest in Talang Lakat  Resort (82 species). The dominant species have been found were Eugenia grandiflora O. Berg, Macaranga lowii King ex Hook.f., Shore iliginosa Foxw., and Tarrietia rubiginosa Kostern. Vegetation chararacteristic to be identified were tree density of 350-552.5 individuals/ha, species diversity index of 2.86-4.19, and abundance index of 32.1087.35. It also identified that vegetation characteristic among resort and land cover were different (p &lt;0.05). Moreover, there were about 110 species of tree plants including of 31 families that found as dietary sources for orang utan and leaves became the highest plant parts which consumed by orang utans (41.8%) compared to other parts. Based on area size, ecosystem types as well as vegetation composition and variation, BTNP may support the increasing population of orang utans. However, there needs to be considered that other<br />aspects such as high human activity within the conservation area, particularly by Talang Mamak tribe communities, may cause unsuccessful achievement on reintroduction program of orang utan.</p>

Retrospective regional level land cover map for Ukraine: methodology of development and results analysis

2015 ◽  
Vol 21 (3(94)) ◽  
pp. 31-39 ◽  
Author(s):  
N. Kussul ◽  
◽  
A. Shelestov ◽  
S. Skakun ◽  
R. Basarab ◽  
...  
Keyword(s):  
Land Cover ◽  
Regional Level ◽  
Land Cover Map

scholarly journals Pixel- vs. Object-Based Landsat 8 Data Classification in Google Earth Engine Using Random Forest: The Case Study of Maiella National Park

2021 ◽  
Vol 13 (12) ◽  
pp. 2299
Author(s):  
Andrea Tassi ◽  
Daniela Gigante ◽  
Giuseppe Modica ◽  
Luciano Di Martino ◽  
Marco Vizzari
Keyword(s):  
Land Cover ◽  
National Park ◽  
Time Window ◽  
Central Italy ◽  
Google Earth ◽  
Data Cube ◽  
Landsat 8 ◽  
Change Analysis ◽  
Object Based ◽  
Google Earth Engine

With the general objective of producing a 2018–2020 Land Use/Land Cover (LULC) map of the Maiella National Park (central Italy), useful for a future long-term LULC change analysis, this research aimed to develop a Landsat 8 (L8) data composition and classification process using Google Earth Engine (GEE). In this process, we compared two pixel-based (PB) and two object-based (OB) approaches, assessing the advantages of integrating the textural information in the PB approach. Moreover, we tested the possibility of using the L8 panchromatic band to improve the segmentation step and the object’s textural analysis of the OB approach and produce a 15-m resolution LULC map. After selecting the best time window of the year to compose the base data cube, we applied a cloud-filtering and a topography-correction process on the 32 available L8 surface reflectance images. On this basis, we calculated five spectral indices, some of them on an interannual basis, to account for vegetation seasonality. We added an elevation, an aspect, a slope layer, and the 2018 CORINE Land Cover classification layer to improve the available information. We applied the Gray-Level Co-Occurrence Matrix (GLCM) algorithm to calculate the image’s textural information and, in the OB approaches, the Simple Non-Iterative Clustering (SNIC) algorithm for the image segmentation step. We performed an initial RF optimization process finding the optimal number of decision trees through out-of-bag error analysis. We randomly distributed 1200 ground truth points and used 70% to train the RF classifier and 30% for the validation phase. This subdivision was randomly and recursively redefined to evaluate the performance of the tested approaches more robustly. The OB approaches performed better than the PB ones when using the 15 m L8 panchromatic band, while the addition of textural information did not improve the PB approach. Using the panchromatic band within an OB approach, we produced a detailed, 15-m resolution LULC map of the study area.

scholarly journals Ecological Connectivity in Agricultural Green Infrastructure:  Suggested Criteria for Fine Scale Assessment and Planning

Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 807
Author(s):  
Simone Valeri ◽  
Laura Zavattero ◽  
Giulia Capotorti
Keyword(s):  
Land Cover ◽  
Green Infrastructure ◽  
Rural Areas ◽  
Urban Areas ◽  
Landscape Heterogeneity ◽  
Agricultural Landscapes ◽  
Spatial Pattern Analysis ◽  
Fine Scale ◽  
Unique Type

In promoting biodiversity conservation and ecosystem service capacity, landscape connectivity is considered a critical feature to counteract the negative effects of fragmentation. Under a Green Infrastructure (GI) perspective, this is especially true in rural and peri-urban areas where a high degree of connectivity may be associated with the enhancement of agriculture multifunctionality and sustainability. With respect to GI planning and connectivity assessment, the role of dispersal traits of tree species is gaining increasing attention. However, little evidence is available on how to select plant species to be primarily favored, as well as on the role of landscape heterogeneity and habitat quality in driving the dispersal success. The present work is aimed at suggesting a methodological approach for addressing these knowledge gaps, at fine scales and for peri-urban agricultural landscapes, by means of a case study in the Metropolitan City of Rome. The study area was stratified into Environmental Units, each supporting a unique type of Potential Natural Vegetation (PNV), and a multi-step procedure was designed for setting priorities aimed at enhancing connectivity. First, GI components were defined based on the selection of the target species to be supported, on a fine scale land cover mapping and on the assessment of land cover type naturalness. Second, the study area was characterized by a Morphological Spatial Pattern Analysis (MSPA) and connectivity was assessed by Number of Components (NC) and functional connectivity metrics. Third, conservation and restoration measures have been prioritized and statistically validated. Notwithstanding the recognized limits, the approach proved to be functional in the considered context and at the adopted level of detail. Therefore, it could give useful methodological hints for the requalification of transitional urban–rural areas and for the achievement of related sustainable development goals in metropolitan regions.

scholarly journals The Smart Forest Conundrum: Contextualizing Pitfalls of Sensors and AI in Conservation Science for Tropical Forests

2021 ◽  
Vol 14 ◽  
pp. 194008292110147
Author(s):  
Dipto Sarkar ◽  
Colin A. Chapman
Keyword(s):  
Tropical Forests ◽  
National Park ◽  
Critical Discussion ◽  
Research Field ◽  
Kibale National Park ◽  
Conservation Science ◽  
Field Station ◽  
Data Production ◽  
Global Corporations ◽  
The One

The term ‘smart forest’ is not yet common, but the proliferation of sensors, algorithms, and technocentric thinking in conservation, as in most other aspects of our lives, suggests we are at the brink of this evolution. While there has been some critical discussion about the value of using smart technology in conservation, a holistic discussion about the broader technological, social, and economic interactions involved with using big data, sensors, artificial intelligence, and global corporations is largely missing. Here, we explore the pitfalls that are useful to consider as forests are gradually converted to technological sites of data production for optimized biodiversity conservation and are consequently incorporated in the digital economy. We consider who are the enablers of the technologically enhanced forests and how the gradual operationalization of smart forests will impact the traditional stakeholders of conservation. We also look at the implications of carpeting forests with sensors and the type of questions that will be encouraged. To contextualize our arguments, we provide examples from our work in Kibale National Park, Uganda which hosts the one of the longest continuously running research field station in Africa.

scholarly journals A multi-purpose National Forest Inventory in Bangladesh: design, operationalisation and key results

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Matieu Henry ◽  
Zaheer Iqbal ◽  
Kristofer Johnson ◽  
Mariam Akhter ◽  
Liam Costello ◽  
...  
Keyword(s):  
Climate Change ◽  
Forest Management ◽  
Data Collection ◽  
Land Cover ◽  
Forest Inventory ◽  
Sustainable Forest Management ◽  
National Forest Inventory ◽  
Forest Resources ◽  
National Forest ◽  
Land Cover Map

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.

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