scholarly journals Geospatial Assessment of Forest Fragmentation and its Implications for Ecological Processes in Tropical Forests

2017 ◽  
Vol 10 (2) ◽  
pp. 19-34 ◽  
Author(s):  
Kayode Adewale Adepoju ◽  
Ayobami T. Salami
Keyword(s):  
Forest Fragmentation ◽  
Negative Impact ◽  
Landscape Connectivity ◽  
Landscape Patterns ◽  
Forest Environment ◽  
Ecological Processes ◽  
Biodiversity Indicators ◽  
Southwestern Nigeria ◽  
Spatio Temporal ◽  
Landscape Variability

Abstract The study assessed the patterns of spatio-temporal configuration imposed on a forest landscape in Southwestern Nigeria due to fragmentation for the period 1986 – 2010 in order to understand the relationship between landscape patterns and the ecological processes influencing the distribution of species in tropical forest environment. Time-series Landsat TM and ETM satellite images and forest inventory data were pre-processed and classified into four landuse/landcover categories using maximum likelihood classification algorithm. Fragstats software was used for the computation of seven landscape and six class level metrics to provide indicators of fragmentation and landscape connectivity from the classified images. The result shows that although deforestation reduced between 2000 and 2010, fragmentation, however intensified during the 24 years period. Fragmentation was highest between 1991 and 2000, leading to significant landscape variability, alteration in the general biotic and abiotic conditions and exchange of material and energy. While it appears that overall forest area increased between 2000 and 2010, connectivity and biodiversity indicators declined the most during this period. The resulting scenario is that forest fragmentation, despite the control of deforestation in the last decade of this study have certainly not receded in the study area. This may continue to have subtle negative impact on exchange of material and energy in the ecosystem, contribute to increased depletion of vital forest resources and the disappearance of wildlife from previously known areas.

scholarly journals Land Use Dynamics and Optimization from 2000 to 2020 in East Guangdong Province, China

2021 ◽  
Vol 13 (6) ◽  
pp. 3473
Author(s):  
Yong Lai ◽  
Guangqing Huang ◽  
Shengzhong Chen ◽  
Shaotao Lin ◽  
Wenjun Lin ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Landscape Connectivity ◽  
Land Use Changes ◽  
Research Result ◽  
Global Environmental Change ◽  
Ecological Processes ◽  
Buffer Zones ◽  
Conflict Zones ◽  
Land Use Dynamics

Anthropogenic land-use change is one of the main drivers of global environmental change. China has been on a fast track of land-use change since the Reform and Opening-up policy in 1978. In view of the situation, this study aims to optimize land use and provide a way to effectively coordinate the development and ecological protection in China. We took East Guangdong (EGD), an underdeveloped but populous region, as a case study. We used land-use changes indexes to demonstrate the land-use dynamics in EGD from 2000 to 2020, then identified the hot spots for fast-growing areas of built-up land and simulated land use in 2030 using the future land-use simulation (FLUS) model. The results indicated that the cropland and the built-up land changed in a large proportion during the study period. Then we established the ecological security pattern (ESP) according to the minimal cumulative resistance model (MCRM) based on the natural and socioeconomic factors. Corridors, buffer zones, and the key nodes were extracted by the MCRM to maintain landscape connectivity and key ecological processes of the study area. Moreover, the study showed the way to identify the conflict zones between future built-up land expansion with the corridors and buffer zones, which will be critical areas of consideration for future land-use management. Finally, some relevant policy recommendations are proposed based on the research result.

Spatio–Temporal Dynamics of Wetland Landscape Patterns Based on Remote Sensing in Yellow River Delta, China

Wetlands ◽  
2014 ◽  
Vol 34 (4) ◽  
pp. 787-801 ◽  
Author(s):  
Guilin Liu ◽  
Luocheng Zhang ◽  
Qian Zhang ◽  
Zipporah Musyimi ◽  
Qinghu Jiang
Keyword(s):  
Remote Sensing ◽  
Temporal Dynamics ◽  
Yellow River ◽  
Yellow River Delta ◽  
River Delta ◽  
Landscape Patterns ◽  
Wetland Landscape ◽  
Spatio Temporal

scholarly journals SPATIO-TEMPORAL ANALYSIS OF LANDSCAPE PATTERNS IN THE CATOLÉ WATERSHED, NORTHERN MINAS GERAIS1

2018 ◽  
Vol 42 (4) ◽  
Author(s):  
Rodrigo Nogueira Martins ◽  
Selma Alves Abrahão ◽  
Danilo Pereira Ribeiro ◽  
Ana Paula Ferreira Colares ◽  
Marco Antonio Zanella
Keyword(s):  
Landscape Metrics ◽  
Riparian Vegetation ◽  
Temporal Analysis ◽  
Bare Soil ◽  
Landscape Patterns ◽  
Core Area ◽  
Sparse Vegetation ◽  
Dense Vegetation ◽  
Processing Level ◽  
Spatio Temporal

ABSTRACT The aim of this study was to quantify the spatio-temporal changes in land use/ cover (LULC), as well as analyze landscape patterns over a 20-year period (1995 - 2015) in the Catolé watershed, northern Minas Gerais State, using landscape metrics. The LULC maps were obtained using Landsat 5 and 8 data (Processing level 1) through supervised classification using the maximum likelihood classifier. Seven thematic classes were identified: dense vegetation, sparse vegetation, riparian vegetation, cropland, planted forest, bare soil, and water. From the LULC maps, classes related to the natural landscape (dense, sparse, and riparian vegetation) were grouped into forest patches, which was then ordered by size: very small (< 5 ha); small (5 - 10 ha); medium (10 - 100 ha); large (100 ha); and a general class (no distinction of patch size). Then, metrics of area, size and density, edge, shape, proximity and core area were calculated. The dense vegetation portion of the study area decreased considerably within a given time, while the portion of cropland and bare soil increased. Overall, in the Catolé river basin, the total area of natural vegetation decreased by 3,273 hectares (4.62%). Landscape metrics analysis exhibited a reduction in the number of very small patches, although the study area was still considered as fragmented. Moreover, a maximum edge distance of 50 m is suggested for conducting studies involving core area metrics in the Catolé watershed, as values above this distance would eliminate the very small patches.

Short-term growth (RNA/DNA ratio) of yellow perch (Perca flavescens) in relation to environmental influences and spatio-temporal variation in a shallow fluvial lake

2007 ◽  
Vol 64 (12) ◽  
pp. 1646-1655 ◽  
Author(s):  
Hélène Glémet ◽  
Marco A Rodríguez
Keyword(s):  
Temporal Variation ◽  
Water Level ◽  
Yellow Perch ◽  
Perca Flavescens ◽  
Negative Influence ◽  
Water Levels ◽  
Short Term ◽  
Ecological Processes ◽  
Flood Pulse Concept ◽  
Spatio Temporal

Shallow fluvial lakes are heterogeneous ecosystems in which marked spatio-temporal variation renders difficult the analysis of key ecological processes, such as growth. In this study, we used generalized additive modelling of the RNA/DNA ratio, an index of short-term growth, to investigate the influence of environmental variables and spatio-temporal variation on growth of yellow perch (Perca flavescens) in Lake St. Pierre, Quebec, Canada. Temperature and water level had seemingly stronger effects on short-term growth than seasonal change or spatial variation between and along the lakeshores. Consistent with previous studies, the maximum RNA/DNA ratio was found at 20.5 °C, suggesting that our approach provides a useful tool for estimating thermal optima for growth in the field. The RNA/DNA ratio showed a positive relationship with water level, as predicted by the flood pulse concept, a finding with implications for ecosystem productivity in fluvial lakes. The RNA/DNA ratio was more variable along the north than the south shore, possibly reflecting exposure to more differentiated water masses. The negative influence of both high temperatures and low water levels on growth points to potential impacts of climatic change on fish production in shallow fluvial lakes.

GICS IN THE MAIN TRANSMISSION LINE “NORTHERN TRANSIT” IN RUSSIA AND IN THE MÄNTSÄLÄ FINLAND PIPELINE: A CASE STUDY

2021 ◽  
Vol 44 ◽  
pp. 20-23
Author(s):  
I.V. Despirak ◽  
◽  
P.V. Setsko ◽  
Ya.A. Sakharov ◽  
V.N. Selivanov ◽  
...  
Keyword(s):  
Negative Impact ◽  
Temporal Structure ◽  
Auroral Zone ◽  
Magnetic Data ◽  
Geomagnetically Induced Currents ◽  
Camera System ◽  
Natural Gas Pipeline ◽  
Spatio Temporal ◽  
Using Data

Geomagnetically induced currents (GICs), arising both on power lines and on pipelines, may have strong negative impact on the technological networks up to accidents ("blackouts"). Magnetospheric disturbances are one of the factors in the appearance of GICs, however there is no unambiguous relationship between substorm and presence of currents. In this paper, we consider two intense cases of GIC (15March 2012 and 17 March 2013), registered on two different technological networks: 1) on the "Nothern Transit" power line (Vykhodnoy, Revda and Kondopoga stations) located in the auroral zone, 2) on the Finnish natural gas pipeline near Mäntsälä located in the subauroral zone. Both GIC cases are compared with substorm development in the auroral zone, using data from IMAGE magnetometers network and MAIN camera system in Apatity. We found a good correlation between the GIC appearance and variations of geomagnetic indexes: IL – index, which characterized of westward electrojet intensity on the IMAGE meridian and Wp - index, which describes the wave activity of the substorm. Besides, it was shown also a good correlation between GICs and the thin spatio-temporal structure of the substorm development (the appearance and the propagation to the pole of substorm activations), which is appeared both in the magnetic data and in the all sky camera images.

Geo-Informatics for Land Use and Biodiversity Studies

2011 ◽  
pp. 52-77
Author(s):  
P. K. Joshi ◽  
Neena Priyanka
Keyword(s):  
Land Use ◽  
Temporal Dynamics ◽  
Mitigation Measures ◽  
Conservation Strategies ◽  
Ecological Processes ◽  
Holistic Understanding ◽  
Global Positioning ◽  
Geospatial Tools ◽  
Spatio Temporal ◽  
Impact On Biodiversity

The dynamics of land use/land cover (LU/LC) is a manifestation of the cyclic correlation among the kind and magnitude of causes, impacts, responses and resulting ecological processes of the ecosystem. Thus, the holistic understanding of the complex mechanisms that control LU/LC requires synergetic adoption of measurement approaches, addressing issues, and identifying drivers of change and state of art technologies for mitigation measures. As the spatio-temporal heterogeneity of the LU/LC increases, its impact on biodiversity becomes even more difficult to anticipate. Thus, in order to understand the spatio-temporal dynamics of change in landscape and its relationship to biodiversity, it is necessary to reliably identify and quantify the indicators of change. In addition, it is also important to have better understanding of the technologies and techniques that serve as complimentary tool for land mitigation and conservation planning. Against this background, the chapter aims to synthesize LU/LC studies worldwide and their impacts on biodiversity. This chapter explores identification and analysis of key natural, socio-economic and regulatory drivers for LU/LC. Finally, it attempts to collate some LU/LC studies involving usage of geospatial tools, such as satellite remote sensing, Geographic Information System (GIS), Global Positioning System (GPS), and integrative tools, besides conventional approaches that could assist decision makers, land managers, stakeholders and researchers in better management and formulation of conservation strategies based on scientific grounds.

Landscape Connectivity

2019 ◽  
pp. 206-238
Author(s):  
Kimberly A. With
Keyword(s):  
Invasive Species ◽  
Gene Flow ◽  
Landscape Pattern ◽  
Landscape Structure ◽  
Pattern Analysis ◽  
Landscape Connectivity ◽  
Ecological Processes ◽  
Independent Variable ◽  
Ecological Flows

Landscape connectivity is essential for maintaining ecological flows across landscapes. Processes as diverse as dispersal; gene flow; the flow of water, materials and nutrients; the spread of invasive species, diseases, or pests; or the spread of disturbances like fire, are all potentially influenced by the connectivity of different land covers and land uses. Landscape connectivity can be defined structurally as well as functionally. Landscape connectivity may therefore be treated as either an independent variable, in terms of studying how landscape connectivity influences ecological flows, or as a dependent variable in which landscape connectivity emerges as a consequence of how species or ecological flows interact with landscape structure. This chapter thus explores the different scales and ways in which connectivity can be measured and studied, providing a bridge between the previous chapter on landscape pattern analysis and the chapters that follow on the effects of landscape pattern on ecological processes.

Sign in / Sign up

Export Citation Format

Share Document