Restoring Forest Disturbances to Sustain Populations of Shrubland Birds

1998 ◽  
Vol 16 (2) ◽  
pp. 166-173 ◽  
Author(s):  
Robert A. Askins
Keyword(s):  
Forest Disturbances ◽  
Shrubland Birds

scholarly journals Spectroscopic detection of forest diseases: a review (1970–2020)

2021 ◽  
Author(s):  
Lorenzo Cotrozzi
Keyword(s):  
Early Detection ◽  
Optical Sensors ◽  
Near Infrared ◽  
Sustainable Forest Management ◽  
Visible Spectrum ◽  
Cost Effective ◽  
Infrared Region ◽  
Forest Disturbances ◽  
Effective Manner ◽  
Forest Diseases

AbstractSustainable forest management is essential to confront the detrimental impacts of diseases on forest ecosystems. This review highlights the potential of vegetation spectroscopy in improving the feasibility of assessing forest disturbances induced by diseases in a timely and cost-effective manner. The basic concepts of vegetation spectroscopy and its application in phytopathology are first outlined then the literature on the topic is discussed. Using several optical sensors from leaf to landscape-level, a number of forest diseases characterized by variable pathogenic processes have been detected, identified and quantified in many country sites worldwide. Overall, these reviewed studies have pointed out the green and red regions of the visible spectrum, the red-edge and the early near-infrared as the spectral regions most sensitive to the disease development as they are mostly related to chlorophyll changes and symptom development. Late disease conditions particularly affect the shortwave-infrared region, mostly related to water content. This review also highlights some major issues to be addressed such as the need to explore other major forest diseases and geographic areas, to further develop hyperspectral sensors for early detection and discrimination of forest disturbances, to improve devices for remote sensing, to implement long-term monitoring, and to advance algorithms for exploitation of spectral data. Achieving of these goals will enhance the capability of vegetation spectroscopy in early detection of forest stress and in managing forest diseases.

Regional Synthesis of Habitat Relationships in Shrubland Birds

2010 ◽  
Vol 74 (7) ◽  
pp. 1513-1522 ◽  
Author(s):  
SCOTT SCHLOSSBERG ◽  
DAVID I. KING ◽  
RICHARD B. CHANDLER ◽  
BENJAMIN A. MAZZEI
Keyword(s):  
Shrubland Birds

scholarly journals Impact of forest disturbances on soil properties: a case study in Mon State, Myanmar

Tropics ◽  
2018 ◽  
Vol 26 (4) ◽  
pp. 99-109 ◽  
Author(s):  
Ei Thandar Bol ◽  
Naoko Tokuchi
Keyword(s):  
Soil Properties ◽  
Forest Disturbances

scholarly journals Cattle-driven forest disturbances impact ensemble composition and activity levels of insectivorous bats in Mediterranean wood pastures

2018 ◽  
Vol 93 (5) ◽  
pp. 1687-1699 ◽  
Author(s):  
Pedro Costa ◽  
Denis Medinas ◽  
Bruno M. Silva ◽  
António Mira ◽  
Nuno Guiomar ◽  
...  
Keyword(s):  
Activity Levels ◽  
Forest Disturbances ◽  
Insectivorous Bats

scholarly journals Gangguan Hutan di KPH Kuningan Divisi Regional Jawa Barat dan Banten

2019 ◽  
Vol 10 (3) ◽  
pp. 159-165
Author(s):  
Ati Dwi Nurhayati ◽  
Liana Arhami
Keyword(s):  
Forest Fires ◽  
Forest Disturbance ◽  
Forest Products ◽  
Forest Disturbances ◽  
Community Based ◽  
Forest Protection ◽  
Pests And Diseases ◽  
Legal Remedies ◽  
Preventive Actions ◽  
And Control

Forest protection is an effort to prevent and control the destruction of forests, forest areas, and forest products caused by human actions, livestock, fires, pests and diseases. The aims of this research are to identify the types of forest disturbance especially those caused by humans and physically, analyze the factors causing forest disturbance, and analyze efforts to control forest disturbance at KPH Kuningan. Forest disturbances that occurred in the KPH Kuningan during 2010-2014 included: timber theft, forest fires, forest encroachment, and natural disasters. The background of forest disturbance in the Kuningan KPH is mainly due to the socio-economic conditions of the community around the forest that are still low. Strategic actions taken to prevent forest disturbance at the KPH Kuningan are to take pre-emptive actions in the form of counseling and establish good relations between officers and the community through social communication and Community Based Forest Management (PHBM), preventive actions in the form of patrols and safeguards against forest potential, and repressive actions in the form of legal remedies against the perpetrators. Key words: cause of forest disturbance, type of forest disturbance, forest disturbance control

Forest disturbances detection in Vietnam, Cambodia and Laos using Sentinel-1 data

2021 ◽  
Author(s):  
Stéphane Mermoz ◽  
Alexandre Bouvet ◽  
Marie Ballère ◽  
Thierry Koleck ◽  
Thuy Le Toan
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
French Guiana ◽  
The United States ◽  
Habitat Destruction ◽  
Detection Methods ◽  
Optical Data ◽  
Forest Loss ◽  
Forest Disturbances ◽  
Synthetic Aperture Radar Data

<p>Over the last 25 years, the world’s forests have undergone substantial changes. Deforestation and forest degradation in particular contribute greatly to biodiversity loss through habitat destruction, soil erosion, terrestrial water cycle disturbances and anthropogenic CO2 emissions. In certain regions and countries, the changes have been more rapid, which is the case in the Greater Mekong sub-region recognized as deforestation hotspot (FAO, 2020). In this region, illegal and unsustainable logging and conversion of forests for agriculture, construction of dams and infrastructure are the direct causes of deforestation. Effective tools are therefore urgently needed to survey illegal logging operations which cause widespread concern in the region.</p><p>Monitoring systems based on optical data, such as the UMD/GLAD Deforestation alerts implemented on the Global Forest Watch platform, are limited by the important cloud cover which causes delays in the detections. However, it has been demonstrated in the last few years that forest losses can be timely monitored using dense time series of (synthetic aperture) radar data acquired by Sentinel-1 satellites, developed in the frame of the European Union’s Earth observation Copernicus programme. Ballère et al. (2021) showed for example that 80% of the forest losses due to gold mining in French Guiana are detected first by Sentinel-1-based forest loss detection methods compared with optical-based methods, sometimes by several months. Methods based on Sentinel-1 have been successfully applied at the local scale (Bouvet et al., 2018, Reiche et al., 2018) and can be adapted and tested at the national scale (Ballère et al., 2020).</p><p>We show here the main results of the SOFT project funded by ESA in the frame of the EO Science for Society open calls. The overall SOFT project goal is to provide validated forest loss maps every month over Vietnam, Cambodia and Laos with a minimum mapping unit of 0.04 ha, using Sentinel-1 data. The results confirm the analysis of the deforestation fronts published recently by the WWF (Pacheco et al., 2021), showing that Eastern Cambodia, and Southern and Northern Laos are currently forest disturbances hotspots.</p><p> </p><p>References:</p><p>Ballère et al., (2021). SAR data for tropical forest disturbance alerts in French Guiana: Benefit over optical imagery. <em>Remote Sensing of Environment</em>, <em>252</em>, 112159.</p><p>Bouvet et al., (2018). Use of the SAR shadowing effect for deforestation detection with Sentinel-1 time series. <em>Remote Sensing</em>, <em>10</em>(8), 1250.</p><p>FAO. Global Forest Resources Assessment; Technical Report; Food and Agriculture Association of the United-States: Rome, Italy, 2020.</p><p>Pacheco et al., 2021. Deforestation fronts: Drivers and responses in a changing world. WWF, Gland, Switzerland</p><div>Reiche et al., (2018). Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2. <em>Remote Sensing of Environment</em>, <em>204</em>, 147-161.</div>

Phenology Modelling and Forest Disturbance Mapping with Sentinel-2 time series in Austria

2020 ◽  
Author(s):  
Markus Löw ◽  
Koukal Tatjana
Keyword(s):  
Time Series ◽  
Bark Beetle ◽  
Forest Ecosystems ◽  
Forest Disturbance ◽  
Spatial Scales ◽  
Data Access ◽  
Forest Monitoring ◽  
Forest Disturbances ◽  
Disturbance Dynamics ◽  
Sentinel 2

Abstract Background Worldwide, forests provide natural resources and ecosystem services. However, forest ecosystems are threatened by increasing forest disturbance dynamics, caused by direct human activities or an altering natural environment. It is decisive to trace the intra- to trans-annual dynamics of these forest ecosystems. National to local forest communities request detailed area-wide maps that delineate forest disturbance dynamics at various spatial scales. Methods We developed a remote sensing based time series analysis (TSA) framework that comprises data access, data management, image pre-processing, and an advanced but flexible TSA. The data basis is a dense time series of multispectral Sentinel-2 images with a spatial resolution of 10 metres. We use a dynamic Savitzky-Golay-filtering approach to reconstruct robust but sensitive phenology courses. Deviations from the latter are further used to derive spatiotemporal information on forest disturbances. In a first case study, we apply the TSA to map forest disturbances directly or indirectly linked to recurring bark beetle infestation in Northern Austria. Finally, we use zonal statistics on different spatial scales to provide aggregated information on the extent of forest disturbances between 2018 and 2019.Results and Conclusion The outcomes are a) individual phenology models and deduced phenology metrics for each 10 metres by 10 metres forest pixel in Austria and b) forest disturbance maps useful to investigate the occurrence, development and extent of bark beetle infestation. The phenology modelling results provide area-wide consistent data, also useful for downstream analyses (e.g. forest type classification). Results of the forest disturbance detection demonstrate that the TSA is capable to systematically delineate disturbed forest areas. Information derived from such a forest monitoring tool is highly relevant for various stakeholders in the forestry sector, either for forest management purposes or for decision-making processes on different levels.

scholarly journals Ectomycorrhizal Community on Norway Spruce Seedlings Following Bark Beetle Infestation

Forests ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 740 ◽  
Author(s):  
Petra Veselá ◽  
Martina Vašutová ◽  
Karolína Hofmannová ◽  
Magda Edwards-Jonášová ◽  
Pavel Cudlín
Keyword(s):  
Norway Spruce ◽  
Bark Beetle ◽  
Seedling Growth ◽  
Forest Type ◽  
Growth Parameters ◽  
Forest Disturbances ◽  
Phialocephala Fortinii ◽  
Exploration Types ◽  
Seedling Roots ◽  
Mycelial Network

Ectomycorrhizal (ECM) fungi importantly influence seedling growth, nutrition, and survival and create an extensive mycelial network interconnecting tree species and enabling resource redistribution. Due to their symbiotic relationship with trees, they are impacted by forest disturbances, which are of increasing relevance due to climate change. The effect of disturbance on seedling colonization and their morphology is still largely unknown. Seedling growth parameters and the ECM fungal assemblage on the roots of Norway spruce (Picea abies (L.) H. Karst.) seedlings were assessed in mature spruce forests attacked and destroyed by bark beetle and in a mature non-attacked forest as a reference. We did not detect significant differences in number of ECM species on seedling roots among forest types, but ECM species composition changed; Tylospora fibrillosa (Burt) Donk, Meliniomyces variabilis Hambl. & Sigler, and Phialocephala fortinii C.J.K. Wang & H.E. Wilcox were characteristic species in the forest destroyed by bark beetle, whereas Lactarius, Cortinarius, and Russula were in the mature forest. Forest type further significantly influenced the height, root length, and root collar thickness of seedlings and the proportion of exploration types of mycorrhizae.

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