scholarly journals MAPPING OF STRIP FOREST IN ADAMPUR RANGE (HARYANA) A GEO-INFORMATICS APPROACH

2018 ◽  
Vol XLII-5 ◽  
pp. 289-293
Author(s):  
K. E. Mothi Kumar ◽  
R. Kumar ◽  
R. Kumar ◽  
R. Bishnoi ◽  
R. S. Hooda ◽  
...  
Keyword(s):  
Geographical Area ◽  
Forest Policy ◽  
Google Earth ◽  
Wood Products ◽  
Forest Area ◽  
Environmental Stability ◽  
Tree Cover ◽  
Natural Forests ◽  
Forest Department ◽  
The North

<p><strong>Abstract.</strong> Haryana state is an intensively cultivated state, and deficient in natural forests. One of the mandate of Haryana Forest Department (HFD) is to afforest for maintenance of environmental stability and restoration of ecological balance affected by serious depletion of forests, woodlands and water, and to increase tree cover in the state. National Forest Policy (1988) has set a goal to bring one third of Country’s area under forest and tree cover. Stock and dynamics of Trees Outside Forests (TOF) along with natural forests need to be understood holistically to appreciate the ecosystem services e.g., timber and non-wood products as tangible benefits along with services like carbon, water and weather moderation. The present study has attempted to demonstrate the utility of High Resolution Worldview-II (WV) satellite data (ortho rectified) that offeres immense scope to analyze the strip forests in Hisar district (Haryana, India). The study area Adampur Range (Hisar District) lies between the north latitudes 29&amp;deg;0′52.229″ to 29&amp;deg;25′6.746″ and east longitudes 75&amp;deg;14′0.266″ to 75&amp;deg;45′11.093″ with a total geographical area of about 1092.04<span class="thinspace"></span>sq.<span class="thinspace"></span>km. The adopted methodology involves onscreen digitization of the strip forest areas in the Adampur range (Hisar Distirct). The ToF formation identification and delineation includes the forest land besides roads, river, streams, canals, distributaries and railway lines etc. The shape files were converted into .kml files and overlaid on the Google Earth data for validation. An attempt has been made to compare the area difference between the Haryana Forest Department (HFD) notification details with that of the digitized strip forest lands. It was observed that the surveyed forest area is found to be 1717.37<span class="thinspace"></span>ha. against the notified forest area of 1714.45<span class="thinspace"></span>ha. showing a difference of 2.92<span class="thinspace"></span>ha. approximately in the studied beat boundaries.</p>

Agroforestry Potential for Increasing Forest and Tree Cover in Himachal Pradesh - An Analysis

2017 ◽  
Vol 24 (4) ◽  
pp. 185-190
Author(s):  
Satya Negi
Keyword(s):  
Sustainable Forest Management ◽  
Geographical Area ◽  
Forest Policy ◽  
Himachal Pradesh ◽  
The State ◽  
Tree Cover ◽  
Large Area ◽  
Marginal Lands ◽  
Mountainous Regions ◽  
Near Future

Forests and trees are essential for the welfare of people and play significant role in sustainable development. Extent of forest resources is one of the criteria for monitoring the progress towards sustainable forest management. The total forest and tree cover of Himachal Pradesh is 15,453 km² which is 27.76 percent of the state’s geographical area. As per National Forest Policy 1988, the aim should be to maintain two-third of the geographical area of the state under vegetal cover in the hills and in mountainous regions; but there is very little scope for realizing the envisaged target in near future in the state. There is no enough culturable land in the state, as large area of the state is covered under alpine pastures, barren and unculturable wastelands and snow bound areas where trees do not grow. Agriculture in the state is mainly subsistence, and hence there is not much scope of expanding agroforestry in these marginal lands. Therefore, it is prudent to focus more on protecting the existing unspoiled forests, eco-restoration and qualitative improvement of the degraded forests. Positive environment towards agroforestry plantation in the state will motivate the farmers to reap the incentives under Sub-Mission on Agroforestry which will not only fulfill the multiplicity of local requirements but also reduce the pressure on existing forests.

scholarly journals Forest disturbances and the attribution derived from yearly Landsat time series over 1990–2020 in the Hengduan Mountains Region of Southwest China

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yating Li ◽  
Zhenzi Wu ◽  
Xiao Xu ◽  
Hui Fan ◽  
Xiaojia Tong ◽  
...  
Keyword(s):  
Time Series ◽  
Forest Management ◽  
Biodiversity Conservation ◽  
Forest Disturbance ◽  
Road Construction ◽  
Google Earth ◽  
Forest Area ◽  
Hengduan Mountains ◽  
Natural Forests ◽  
Forest Disturbances

Abstract Background Natural forests in the Hengduan Mountains Region (HDMR) have pivotal ecological functions and provide diverse ecosystem services. Capturing long-term forest disturbance and drivers at a regional scale is crucial for sustainable forest management and biodiversity conservation. Methods We used 30-m resolution Landsat time series images and the LandTrendr algorithm on the Google Earth Engine cloud platform to map forest disturbances at an annual time scale between 1990 and 2020 and attributed causal agents of forest disturbance, including fire, logging, road construction and insects, using disturbance properties and spectral and topographic variables in the random forest model. Results The conventional and area-adjusted overall accuracies (OAs) of the forest disturbance map were 92.3% and 97.70% ± 0.06%, respectively, and the OA of mapping disturbance agents was 85.80%. The estimated disturbed forest area totalled 3313.13 km2 (approximately 2.31% of the total forest area in 1990) from 1990 to 2020, with considerable interannual fluctuations and significant regional differences. The predominant disturbance agent was fire, which comprised approximately 83.33% of the forest area disturbance, followed by logging (12.2%), insects (2.4%) and road construction (2.0%). Massive forest disturbances occurred mainly before 2000, and the post-2000 annual disturbance area significantly dropped by 55% compared with the pre-2000 value. Conclusions This study provided spatially explicit and retrospective information on annual forest disturbance and associated agents in the HDMR. The findings suggest that China’s logging bans in natural forests combined with other forest sustainability programmes have effectively curbed forest disturbances in the HDMR, which has implications for enhancing future forest management and biodiversity conservation.

The global wood market, wood resource productivity and price trends: an examination with special attention to China

2011 ◽  
Vol 38 (1) ◽  
pp. 53-63 ◽  
Author(s):  
JUDITH AJANI
Keyword(s):  
Forest Policy ◽  
Solid Wood ◽  
Wood Products ◽  
Tree Planting ◽  
Natural Forests ◽  
Recycled Paper ◽  
Wood Panels ◽  
Sawn Timber ◽  
Wood Products Industry ◽  
Wood Consumption

SUMMARYGlobal wood consumption trends are reviewed in the context of framing a coherent forest policy in the era of climate change. Over the period 1980 to 2007, global wood consumption has been essentially stagnant, increasing by only 0.4% per year. In contrast over the same period, global consumption of wood products increased steadily, paper by an average 3.2% per annum and solid wood products (sawn timber and wood panels) by 0.8% per annum. Wood saving explains these significantly different growth trajectories in unprocessed wood and processed wood products. Wood saving strategies include recycling paper (in particular), investing in higher yielding pulp technologies, substituting reconstituted wood panels for sawn timber and plywood and growing high pulp-yielding trees in a plantation regime. China's rapidly growing wood products industry has lifted wood saving to a new high. Consistent with the theory of induced innovation, China has so far avoided triggering a global wood shortage and associated wood price increases through a progression of strategies: successful pre-emptive price negotiations, increased use of recycled paper, adoption of high-yielding pulp technologies, substitution of reconstituted wood panels for sawn timber and tree planting substituting for natural forest supply. If China's current wood saving strategies were emulated worldwide, through increased use of recycled paper in particular, and to a lesser extent, substitution of reconstituted wood panels for sawn timber and plywood, the already low growth in global wood consumption would flatten further and perhaps start to decline. These economic realities in the wood products industry align positively with the interlinked imperatives of biodiversity conservation and carbon storage in natural forests, if wood-saving is converted to forest-saving.

scholarly journals Evaluating Forest Cover and Fragmentation in Costa Rica with a Corrected Global Tree Cover Map

2020 ◽  
Vol 12 (19) ◽  
pp. 3226
Author(s):  
Daniel Cunningham ◽  
Paul Cunningham ◽  
Matthew E. Fagan
Keyword(s):  
Costa Rica ◽  
Forest Cover ◽  
Agricultural Land ◽  
Forest Area ◽  
Tree Cover ◽  
Agricultural Crop ◽  
Forest Change ◽  
Alos Palsar ◽  
Tropical Regions ◽  
The Impact

Global tree cover products face challenges in accurately predicting tree cover across biophysical gradients, such as precipitation or agricultural cover. To generate a natural forest cover map for Costa Rica, biases in tree cover estimation in the most widely used tree cover product (the Global Forest Change product (GFC) were quantified and corrected, and the impact of map biases on estimates of forest cover and fragmentation was examined. First, a forest reference dataset was developed to examine how the difference between reference and GFC-predicted tree cover estimates varied along gradients of precipitation and elevation, and nonlinear statistical models were fit to predict the bias. Next, an agricultural land cover map was generated by classifying Landsat and ALOS PalSAR imagery (overall accuracy of 97%) to allow removing six common agricultural crops from estimates of tree cover. Finally, the GFC product was corrected through an integrated process using the nonlinear predictions of precipitation and elevation biases and the agricultural crop map as inputs. The accuracy of tree cover prediction increased by ≈29% over the original global forest change product (the R2 rose from 0.416 to 0.538). Using an optimized 89% tree cover threshold to create a forest/nonforest map, we found that fragmentation declined and core forest area and connectivity increased in the corrected forest cover map, especially in dry tropical forests, protected areas, and designated habitat corridors. By contrast, the core forest area decreased locally where agricultural fields were removed from estimates of natural tree cover. This research demonstrates a simple, transferable methodology to correct for observed biases in the Global Forest Change product. The use of uncorrected tree cover products may markedly over- or underestimate forest cover and fragmentation, especially in tropical regions with low precipitation, significant topography, and/or perennial agricultural production.

scholarly journals India’s Commitments to Increase Tree and Forest Cover: Consequences for Water Supply and Agriculture Production within the Central Indian Highlands

Water ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 959
Author(s):  
Benjamin Clark ◽  
Ruth DeFries ◽  
Jagdish Krishnaswamy
Keyword(s):  
Groundwater Recharge ◽  
Forest Cover ◽  
Hydrological Modeling ◽  
Monsoon Season ◽  
Forest Policy ◽  
Central India ◽  
Field Measurements ◽  
Tree Cover ◽  
Policy Goals ◽  
The Impact

As part of its nationally determined contributions as well as national forest policy goals, India plans to boost tree cover to 33% of its land area. Land currently under other uses will require tree-plantations or reforestation to achieve this goal. This paper examines the effects of converting cropland to tree or forest cover in the Central India Highlands (CIH). The paper examines the impact of increased forest cover on groundwater infiltration and recharge, which are essential for sustainable Rabi (winter, non-monsoon) season irrigation and agricultural production. Field measurements of saturated hydraulic conductivity (Kfs) linked to hydrological modeling estimate increased forest cover impact on the CIH hydrology. Kfs tests in 118 sites demonstrate a significant land cover effect, with forest cover having a higher Kfs of 20.2 mm hr−1 than croplands (6.7mm hr−1). The spatial processes in hydrology (SPHY) model simulated forest cover from 2% to 75% and showed that each basin reacts differently, depending on the amount of agriculture under paddy. Paddy agriculture can compensate for low infiltration through increased depression storage, allowing for continuous infiltration and groundwater recharge. Expanding forest cover to 33% in the CIH would reduce groundwater recharge by 7.94 mm (−1%) when converting the average cropland and increase it by 15.38 mm (3%) if reforestation is conducted on non-paddy agriculture. Intermediate forest cover shows however shows potential for increase in net benefits.

scholarly journals Landscape Ecological Structure in the Eastern Part of the North Vidzeme Biosphere Reserve, Latvia

2008 ◽  
Vol 62 (1-2) ◽  
pp. 63-70
Author(s):  
Aivars Tērauds ◽  
Oļgerts Nikodemus ◽  
Inga Rasa ◽  
Simons Bells
Keyword(s):  
Land Use ◽  
Landscape Structure ◽  
Land Use Changes ◽  
Biosphere Reserve ◽  
Forest Area ◽  
Forest Patches ◽  
Ecological Structure ◽  
The North ◽  
Landscape Units ◽  
Landscape Ecological

Landscape Ecological Structure in the Eastern Part of the North Vidzeme Biosphere Reserve, Latvia Latvia is a country where the forest area has increased and habitat fragmentation has reversed compared with many other European countries. In order to examine the effect of this expansion on biodiversity, vegetation maps dating from 2002 and the years 1930-1936 were used for comparative landscape structure analyses while archive materials from forest plans, and data from the national forest management database were used for land use analysis. Four landscape ecoregions in the eastern side of the North Vidzeme Biosphere Reserve were selected for analysis. Landscape structure indicators derived from landscape ecology were used for the ecological assessment of land use changes. The total number of forest patches had decreased over the study period, but mean patch size had increased for all types of landscape element. This general change was found to vary between different landscape units in the study area. The biggest change in the area of forest patches occurred in the Rūjiena drumlin field, where the amount of forest patches decreased least and forest area increased the most. This study showed that the internal structure of the forest matrix changed substantially. This finding has implications for biodiversity protection if this trend of land use change continues.

scholarly journals Trends of forest area and population and the impact of population on forest area per hectare in Serbia without APS

2012 ◽  
pp. 183-196
Author(s):  
Nenad Rankovic
Keyword(s):  
Population Density ◽  
Population Growth ◽  
Forest Cover ◽  
Forest Policy ◽  
Forest Area ◽  
Economic Changes ◽  
Policy Measures ◽  
Per Capita ◽  
The Impact

Socio-economic changes throughout history have shaped the attitude towards the forest and most significant ones are changes in terms of population. Over the centuries population and population density have had a significant impact on deforestation and the reduction of forest areas. Therefore, it is important to check what kind of trends are concerned and how population growth affects forest areas, forest cover and forest area per capita. These elements are important for assessing the direction, intensity of activity and the degree of success in the implementation of all forest policy measures in Serbia.

scholarly journals Forest ecological monitoring of the Shiyang River basin based on Google Earth Engine

2021 ◽  
Vol 932 (1) ◽  
pp. 012011
Author(s):  
Y Wang
Keyword(s):  
River Basin ◽  
Terrestrial Ecosystems ◽  
Google Earth ◽  
Ecological Environment ◽  
Ecological Quality ◽  
Natural Forests ◽  
Shiyang River Basin ◽  
Natural Factors ◽  
Google Earth Engine

Abstract The Shiyang River basin is a typical inland arid region and one of the most fragile and sensitive areas of terrestrial ecosystems in China, and it is important to understand its ecological changes in a timely and accurate manner. This article selects the Shiyang River basin forest as the research area and uses Google Earth Engine (GEE) to evaluate and monitor the ecological environment quality of the Shiyang River basin from 1990 to 2020. The geographical detector model (GDM) was also used to analyse the sensitivity of the forest ecological environment to three natural factors: elevation, temperature and altitude. The results showed that the ecological quality of the natural forest is significantly better than that of the man-made forest area, and the ecological quality grade is higher. The forest change area RSEI has a large annual variation in ecological quality and is vulnerable to external factors. Among the influencing natural factors, the sensitive factors of precipitation and altitude are both greater than 84%. The temperature sensitivity of natural forests is stronger than that of man-made forests, ranging from 66% to 92% overall.

Study of Poplar and Bamboo based Agroforestry System

2019 ◽  
Vol 26 (2) ◽  
pp. 67-70
Author(s):  
Kapil Joshi ◽  
◽  
Vrushali Gade ◽  
Ashwini Apet ◽  
◽  
...  
Keyword(s):  
Integrated Management ◽  
Agroforestry System ◽  
Environmental Conservation ◽  
Wood Products ◽  
Population Pressure ◽  
Natural Forests ◽  
Resource Base ◽  
The Sustainable Development ◽  
The People ◽  
Agro Forestry

Food insecurity and poverty have been affecting the livelihood of the rural poor since ages. It is posing a major challenge to the sustainable development of a developing country like India. In such countries, land and soil degradation has emerged as an offshoot of excessive population pressure over the limited resources. Agricultural production in the developing countries has seldom matched the needs of the people. Agro forestry has the potential to arrest land degradation and improve site productivity through interaction with trees, soil, crops and livestock. Agro forestry is also a potential option for improving rural livelihood and enhancing integrated management of the natural resource base. Agro forestry systems can play an important role in carbon mitigation programmes through carbon sequestration and can reduce the pressure on existing natural forests by providing fuel, fodder, timber and wood products to the farmers. The current interest in agro forestry in India has transformed the land-use system in terms of economic sustainability. This article briefly reviews about the concept of Poplar and Bamboo based agro forestry systems as adopted extensively by the farmers on a commercial and environmental conservation scale. These systems play a significant role to meet the economic, social and environmental concerns of the villagers.

Collecting training data to map forest management at global scale

2021 ◽  
Author(s):  
Myroslava Lesiv ◽  
Dmitry Schepaschenko ◽  
Martina Dürauer ◽  
Marcel Buchhorn ◽  
Ivelina Georgieva ◽  
...  
Keyword(s):  
Forest Management ◽  
High Resolution ◽  
Remotely Sensed ◽  
Global Scale ◽  
Google Earth ◽  
Training Data ◽  
Tree Cover ◽  
Data Set ◽  
The World ◽  
Very High

&lt;p&gt;Spatially explicit information on forest management at a global scale is critical for understanding the current status of forests for sustainable forest management and restoration. Whereas remotely sensed based datasets, developed by applying ML and AI algorithms, can successfully depict tree cover and other land cover types, it has not yet been used to depict untouched forest and different degrees of forest management. We show for the first time that with sufficient training data derived from very high-resolution imagery a differentiation within the tree cover class of various levels of forest management is possible.&lt;/p&gt;&lt;p&gt;In this session, we would like to present our approach for labeling forest related training data by using Geo-Wiki application (https://www.geo-wiki.org/). Moreover, we would like to share a new open global training data set on forest management we collected from a series of Geo-Wiki campaigns. In February 2019, we organized an expert workshop to (1) discuss the variety of forest management practices that take place in different parts of the world; (2) generalize the definitions for the application at global scale; (3) finalize the Geo-Wiki interface for the crowdsourcing campaigns; and (4) build a data set of control points (or the expert data set), which we used later to monitor the quality of the crowdsourced contributions by the volunteers. We involved forest experts from different regions around the world to explore what types of forest management information could be collected from visual interpretation of very high-resolution images from Google Maps and Microsoft Bing, in combination with Sentinel time series and Normalized Difference Vegetation Index (NDVI) profiles derived from Google Earth Engine (GEE). Based on the results of this analysis, we expanded these campaigns by involving a broader group of participants, mainly people recruited from remote sensing, geography and forest research institutes and universities.&lt;/p&gt;&lt;p&gt;In total, we collected forest data for approximately 230 000 locations globally. These data are of sufficient density and quality and therefore could be used in many ML and AI applications for forests at regional and local scale.&amp;#160; We also provide an example of ML application, a remotely sensed based global forest management map at a 100 m resolution (PROBA-V) for the year 2015. It includes such classes as intact forests, forests with signs of human impact, including clear cuts and logging, replanted forest, woody plantations with a rotation period up to 15 years, oil palms and agroforestry. The results of independent statistical validation show that the map&amp;#8217;s overall accuracy is 81%.&lt;/p&gt;

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