Relevant bibliographies by topics / Vegetation change

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  4. Book chapters
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Academic literature on the topic 'Vegetation change'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2023

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Journal articles on the topic "Vegetation change"

1

He, Dong, Xianglin Huang, Qingjiu Tian, and Zhichao Zhang. "Changes in Vegetation Growth Dynamics and Relations with Climate in Inner Mongolia under More Strict Multiple Pre-Processing (2000–2018)." Sustainability 12, no. 6 (March 24, 2020): 2534. http://dx.doi.org/10.3390/su12062534.

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Inner Mongolia Autonomous Region (IMAR) is related to China’s ecological security and the improvement of ecological environment; thus, the vegetation’s response to climate changes in IMAR has become an important part of current global change research. As existing achievements have certain deficiencies in data preprocessing, technical methods and research scales, we correct the incomplete data pre-processing and low verification accuracy; use grey relational analysis (GRA) to study the response of Enhanced Vegetation Index (EVI) in the growing season to climate factors on the pixel scale; explore the factors that affect the response speed and response degree from multiple perspectives, including vegetation type, longitude, latitude, elevation and local climate type; and solve the problems of excessive ignorance of details and severe distortion of response results due to using average values of the wide area or statistical data. The results show the following. 1. The vegetation status of IMAR in 2000-2018 was mainly improved. The change rates were 0.23/10° N and 0.25/10° E, respectively. 2. The response speed and response degree of forests to climatic factors are higher than that of grasslands. 3. The lag time of response for vegetation growth to precipitation, air temperature and relative humidity in IMAR is mainly within 2 months. The speed of vegetation‘s response to climate change in IMAR is mainly affected by four major factors: vegetation type, altitude gradient, local climate type and latitude. 4. Vegetation types and altitude gradients are the two most important factors affecting the degree of vegetation’s response to climate factors. It is worth noting that when the altitude rises to 2500 m, the dominant factor for the vegetation growth changes from precipitation to air temperature in terms of hydrothermal combination in the environment. Vegetation growth in areas with relatively high altitudes is more dependent on air temperature.
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Zhang, Xianliang, and Xuanrui Huang. "Human disturbance caused stronger influences on global vegetation change than climate change." PeerJ 7 (September 25, 2019): e7763. http://dx.doi.org/10.7717/peerj.7763.

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Global vegetation distribution has been influenced by human disturbance and climate change. The past vegetation changes were studied in numerous studies while few studies had addressed the relative contributions of human disturbance and climate change on vegetation change. To separate the influences of human disturbance and climate change on the vegetation changes, we compared the existing vegetation which indicates the vegetation distribution under human influences with the potential vegetation which reflects the vegetation distribution without human influences. The results showed that climate-induced vegetation changes only occurred in a few grid cells from the period 1982–1996 to the period 1997–2013. Human-induced vegetation changes occurred worldwide, except in the polar and desert regions. About 3% of total vegetation distribution was transformed by human activities from the period 1982–1996 to the period 1997–2013. Human disturbances caused stronger damage to global vegetation change than climate change. Our results indicated that the regions where vegetation experienced both human disturbance and climate change are eco-fragile regions.
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Khan, Asim, Warda Asim, Anwaar Ulhaq, and Randall W. Robinson. "A deep semantic vegetation health monitoring platform for citizen science imaging data." PLOS ONE 17, no. 7 (July 27, 2022): e0270625. http://dx.doi.org/10.1371/journal.pone.0270625.

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Automated monitoring of vegetation health in a landscape is often attributed to calculating values of various vegetation indexes over a period of time. However, such approaches suffer from an inaccurate estimation of vegetational change due to the over-reliance of index values on vegetation’s colour attributes and the availability of multi-spectral bands. One common observation is the sensitivity of colour attributes to seasonal variations and imaging devices, thus leading to false and inaccurate change detection and monitoring. In addition, these are very strong assumptions in a citizen science project. In this article, we build upon our previous work on developing a Semantic Vegetation Index (SVI) and expand it to introduce a semantic vegetation health monitoring platform to monitor vegetation health in a large landscape. However, unlike our previous work, we use RGB images of the Australian landscape for a quarterly series of images over six years (2015–2020). This Semantic Vegetation Index (SVI) is based on deep semantic segmentation to integrate it with a citizen science project (Fluker Post) for automated environmental monitoring. It has collected thousands of vegetation images shared by various visitors from around 168 different points located in Australian regions over six years. This paper first uses a deep learning-based semantic segmentation model to classify vegetation in repeated photographs. A semantic vegetation index is then calculated and plotted in a time series to reflect seasonal variations and environmental impacts. The results show variational trends of vegetation cover for each year, and the semantic segmentation model performed well in calculating vegetation cover based on semantic pixels (overall accuracy = 97.7%). This work has solved a number of problems related to changes in viewpoint, scale, zoom, and seasonal changes in order to normalise RGB image data collected from different image devices.
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Wan, Lei, Huiyu Liu, Haibo Gong, and Yujia Ren. "Effects of Climate and Land Use changes on Vegetation Dynamics in the Yangtze River Delta, China Based on Abrupt Change Analysis." Sustainability 12, no. 5 (March 4, 2020): 1955. http://dx.doi.org/10.3390/su12051955.

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Vegetation dynamics is thought to be affected by climate and land use changes. However, how the effects vary after abrupt vegetation changes remains unclear. Based on the Mann-Kendall trend and abrupt change analysis, we monitored vegetation dynamics and its abrupt change in the Yangtze River delta during 1982–2016. With the correlation analysis, we revealed the relationship of vegetation dynamics with climate changes (temperature and precipitation) pixel-by-pixel and then with land use changes analysis we studied the effects of land use changes (unchanged or changed land use) on their relationship. Results showed that: (1) the Normalized Vegetation Index (NDVI) during growing season that is represented as GSN (growing season NDVI) showed an overall increasing trend and had an abrupt change in 2000. After then, the area percentages with decreasing GSN trend increased in cropland and built-up land, mainly located in the eastern, while those with increasing GSN trend increased in woodland and grassland, mainly located in the southern. Changed land use, except the land conversions from/to built-up land, is more favor for vegetation greening than unchanged land use (2) after abrupt change, the significant positive correlation between precipitation and GSN increased in all unchanged land use types, especially for woodland and grassland (natural land use) and changed land use except built-up land conversion. Meanwhile, the insignificant positive correlation between temperature and GSN increased in woodland, while decreased in the cropland and built-up land in the northwest (3) after abrupt change, precipitation became more important and favor, especially for natural land use. However, temperature became less important and favor for all land use types, especially for built-up land. This research indicates that abrupt change analysis will help to effectively monitor vegetation trend and to accurately assess the relationship of vegetation dynamics with climate and land use changes.
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Han, Hongzhu, Jianjun Bai, Gao Ma, and Jianwu Yan. "Vegetation Phenological Changes in Multiple Landforms and Responses to Climate Change." ISPRS International Journal of Geo-Information 9, no. 2 (February 19, 2020): 111. http://dx.doi.org/10.3390/ijgi9020111.

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Vegetation phenology is highly sensitive to climate change, and the phenological responses of vegetation to climate factors vary over time and space. Research on the vegetation phenology in different climatic regimes will help clarify the key factors affecting vegetation changes. In this paper, based on a time-series reconstruction of Moderate-Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data using the Savitzky–Golay filtering method, the phenology parameters of vegetation were extracted, and the Spatio-temporal changes from 2001 to 2016 were analyzed. Moreover, the response characteristics of the vegetation phenology to climate changes, such as changes in temperature, precipitation, and sunshine hours, were discussed. The results showed that the responses of vegetation phenology to climatic factors varied within different climatic regimes and that the Spatio-temporal responses were primarily controlled by the local climatic and topographic conditions. The following were the three key findings. (1) The start of the growing season (SOS) has a regular variation with the latitude, and that in the north is later than that in the south. (2) In arid areas in the north, the SOS is mainly affected by the temperature, and the end of the growing season (EOS) is affected by precipitation, while in humid areas in the south, the SOS is mainly affected by precipitation, and the EOS is affected by the temperature. (3) Human activities play an important role in vegetation phenology changes. These findings would help predict and evaluate the stability of different ecosystems.
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Xu, Xiaojuan, Huiyu Liu, Zhenshan Lin, Fusheng Jiao, and Haibo Gong. "Relationship of Abrupt Vegetation Change to Climate Change and Ecological Engineering with Multi-Timescale Analysis in the Karst Region, Southwest China." Remote Sensing 11, no. 13 (July 2, 2019): 1564. http://dx.doi.org/10.3390/rs11131564.

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Vegetation is known to be sensitive to both climate change and anthropogenic disturbance in the karst region. However, the relationship between an abrupt change in vegetation and its driving factors is unclear at multiple timescales. Based on the non-parametric Mann-Kendall test and the ensemble empirical mode decomposition (EEMD) method, the abrupt changes in vegetation and its possible relationships with the driving factors in the karst region of southwest China during 1982–2015 are revealed at multiple timescales. The results showed that: (1) the Normalized Difference Vegetation Index (NDVI) showed an overall increasing trend and had an abrupt change in 2001. After the abrupt change, the greening trend of the NDVI in the east and the browning trend in the west, both changed from insignificant to significant. (2) After the abrupt change, at the 2.5-year time scale, the correlation between the NDVI and temperature changed from insignificantly negative to significantly negative in the west. Over the long-term trend, it changed from significantly negative to significantly positive in the east, but changed from significantly positive to significantly negative in the west. The abrupt change primarily occurred on the long-term trend. (3) After the abrupt change, 1143.32 km2 farmland was converted to forests in the east, and the forest area had significantly increased. (4) At the 2.5-year time scale, the abrupt change in the relationships between the NDVI and climate factors was primarily driven by climate change in the west, especially rising temperatures. Over the long-term trend, it was caused by ecological protection projects in the east, but by rising temperatures in the west. The integration of the abrupt change analysis and multiple timescale analysis help assess the relationship of vegetation changes with climate changes and human activities accurately and comprehensively, and deepen our understanding of the driving mechanism of vegetation changes, which will further provide scientific references for the protection of fragile ecosystems in the karst region.
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Liu, Q., Z. Yang, L. Liang, and W. Nan. "Do changes in climate or vegetation regulate evapotranspiration and streamflow trends in water-limited basins?" Hydrology and Earth System Sciences Discussions 11, no. 10 (October 9, 2014): 11183–202. http://dx.doi.org/10.5194/hessd-11-11183-2014.

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Abstract. Interactions between climate change, vegetation, and soil regulate hydrological processes. In this study, it was assumed that vegetation type and extent remained fixed and unchanged throughout the study period, while the effective rooting depth (Ze) changed under climate change scenarios. Budyko's hydrological model was used to explore the impact of climate change and vegetation on evapotranspiration (E) and streamflow (Q) on the static vegetation rooting depth and the dynamic vegetation rooting depth. Results showed that both precipitation (P) and potential evapotranspiration (Ep) exhibited negative trends, which resulted in decreasing trends for dynamic Ze scenarios. Combined with climatic change, decreasing trends in Ze altered the partitioning of P into E and Q. For dynamic scenarios, total E and Q were predicted to be −1.73 and 28.22%, respectively, greater than static scenarios. Although climate change regulated changes in E and Q, the response of Ze to climate change had a greater overall contribution to changes in hydrological processes. Results from this study suggest that with the exception of vegetation type and extent, Ze scenarios were able to alter water balances, which in itself should help to regulate climate change impacts on water resources.
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Liu, Yu, Jiyang Tian, Ronghua Liu, and Liuqian Ding. "Influences of Climate Change and Human Activities on NDVI Changes in China." Remote Sensing 13, no. 21 (October 27, 2021): 4326. http://dx.doi.org/10.3390/rs13214326.

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The spatiotemporal evolution of vegetation and its influencing factors can be used to explore the relationships among vegetation, climate change, and human activities, which are of great importance for guiding scientific management of regional ecological environments. In recent years, remote sensing technology has been widely used in dynamic monitoring of vegetation. In this study, the normalized difference vegetation index (NDVI) and standardized precipitation–evapotranspiration index (SPEI) from 1998 to 2017 were used to study the spatiotemporal variation of NDVI in China. The influences of climate change and human activities on NDVI variation were investigated based on the Mann–Kendall test, correlation analysis, and other methods. The results show that the growth rate of NDVI in China was 0.003 year−1. Regions with improved and degraded vegetation accounted for 71.02% and 22.97% of the national territorial area, respectively. The SPEI decreased in 60.08% of the area and exhibited an insignificant drought trend overall. Human activities affected the vegetation cover in the directions of both destruction and restoration. As the elevation and slope increased, the correlation between NDVI and SPEI gradually increased, whereas the impact of human activities on vegetation decreased. Further studies should focus on vegetation changes in the Continental Basin, Southwest Rivers, and Liaohe River Basin.
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Timalsina, Bhuban, Suzanne Mavoa, and Amy K. Hahs. "Dynamic Changes in Melbourne’s Urban Vegetation Cover—2001 to 2016." Land 10, no. 8 (August 2, 2021): 814. http://dx.doi.org/10.3390/land10080814.

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Understanding changes in urban vegetation is essential for ensuring sustainable and healthy cities, mitigating disturbances due to climate change, sustaining urban biodiversity, and supporting human health and wellbeing. This study investigates and describes the distribution and dynamic changes in urban vegetation over a 15-year period in Greater Melbourne, Australia. The study investigates how vegetation cover across Melbourne has changed at five-yearly intervals from 2001 to 2016 using the newly proposed dynamic change approach that extends the net change approach to quantify the amount of vegetation gain as well as loss. We examine this question at two spatial resolutions: (1) at the municipal landscape scale to capture broadscale change regardless of land tenure; and (2) at the scale of designated public open spaces within the municipalities to investigate the extent to which the loss of vegetation has occurred on lands that are intended to provide public access to vegetated areas in the city. Vegetation was quantified at four different times (2001, 2006, 2011, 2016), using the normalized difference vegetation index (NDVI). Dynamic changes of gain and loss in urban vegetation between the three periods were quantified for six local government areas (LGAs) and their associated public open spaces using a change matrix. The results showed an overall net loss of 64.5 square kilometres of urban vegetation from 2001 to 2016 in six LGAs. When extrapolated to the Greater Melbourne Area, this is approximately equivalent to 109 times the size of Central Park in New York City.
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Schoenbrun, David Lee. "The Contours of Vegetation Change and Human Agency in Eastern Africa's Great Lakes Region: ca. 2000 BC to ca. AD 1000." History in Africa 21 (1994): 269–302. http://dx.doi.org/10.2307/3171889.

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Elsewhere I have set forth a basic outline for charting histories of vegetation change through the use of paleoenvironmental data (Schoenbrun 1991). This essay builds on the previous one by laying out the contours of vegetation change and human agency in the Great Lakes region (Map 1) over the roughly three millennia after ca. 2000 BC.The history of the vegetation in eastern Africa's Great Lakes region brings into focus several important features of long-term environmental change—human action, climatic shift, and internal successional patterns. The primary sources for this history come from a variety of published palynological and limnological studies from Burundi, Rwanda, Uganda, and Zaire. Perhaps the most rewarding data for reconstructing climatic and vegetational change come from palynological studies. Pollen studies often reflect detailed changes in the constitution of plant communities, and their value for reconstructing the vegetational and climatic contexts for Holocene human history has provoked the development of a rigorous method for their analysis. Contemporary studies of plant community succession and human-vegetation relationships are a secondary source for the history of land clearance in the Great Lakes region. These works provide a means to determine the different imprints of human and climatic action on the paleoenvironmental record.In this study I combine the full range of paleoenvironmental evidence to reconstruct the form and pace of vegetation change. I focus on a part of eastern Africa famous for its great ecological diversity. One of the rewards of this endeavor is to demonstrate to paleoecologists, archaeologists, and historians alike the value of a truly interdisciplinary approach to environmental change.
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Dissertations / Theses on the topic "Vegetation change"

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Gillson, Lindsey. "Vegetation change in East African elephant habitat." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396163.

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Mandzy, Herring Luba T. "Vegetation dynamics and emvironmental change in Mongolia." Thesis, University of Oxford, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496582.

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Barichivich, J. "Responses of boreal vegetation to recent climate change." Thesis, University of East Anglia, 2014. https://ueaeprints.uea.ac.uk/49468/.

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The high northern latitudes have warmed faster than anywhere else in the globe during the past few decades. Boreal ecosystems are responding to this rapid climatic change in complex ways and some times contrary to expectations, with large implications for the global climate system. This thesis investigates how boreal vegetation has responded to recent climate change, particularly to the lengthening of the growing season and changes in drought severity with warming. The links between the timing of the growing season and the seasonal cycle of atmospheric CO2 are evaluated in detail to infer large-scale ecosystem responses to changing seasonality and extended period of plant growth. The influence of warming on summer drought severity is estimated at a regional scale for the first time using improved data. The results show that ecosystem responses to warming and lengthening of the growing season in autumn are opposite to those in spring. Earlier springs are associated with earlier onset of photosynthetic uptake of atmospheric CO2 by northern vegetation, whereas a delayed autumn, rather than being associated with prolonged photosynthetic uptake, is associated with earlier ecosystem carbon release to the atmosphere. Moreover, the photosynthetic growing season has closely tracked the pace of warming and extension of the potential growing season in spring, but not in autumn. Rapid warming since the late 1980s has increased evapotranspiration demand and consequently summer and autumn drought severity, offsetting the effect of increasing cold-season precipitation. This is consistent with ongoing amplification of the hydrological cycle and with model projections of summer drying at northern latitudes in response to anthropogenic warming. However, changes in snow dynamics (accumulation and melting) appear to be more important than increased evaporative demand in controlling changes in summer soil moisture availability and vegetation photosynthesis across extensive regions of the boreal zone, where vegetation growth is often assumed to be dominantly temperature-limited. Snow-mediated moisture controls of vegetation growth are particularly significant in northwestern North America. In this region, a non-linear growth response of white spruce growth to recent warming at high elevations was observed. Taken together, these results indicate that net observed responses of northern ecosystems to warming involve significant seasonal contrasts, can be non-linear and are mediated by moisture availability in about a third of the boreal zone.
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Scandrett, Eurig. "Gap formation and cyclical change in heathland vegetation." Thesis, University of Aberdeen, 1987. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU010080.

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The phasic, cyclical model of Calluna-dominated vegetation dynamics, proposed by A.S. Watt, is evaluated by investigation of the gap in the degenerate plant. Succession in the gap is analysed by Markov models and found to be non-Markovian, with a number of processes occurring simultaneously. Vegetation changes are better interpreted in terms of certain ecological attributes of the species concerned. The inter-relationships between three important moss species are investigated further. Regeneration of Calluna is very variable. Seedling establishment requires a safe site and sufficient moisture, and depends on wet summers. Vegetative layering occurs more frequently but varies between parent plants and substrate types. The presence of soil micro-organisms appears necessary for adequate adventitious root production. An outbreak of heather beetle was monitored and contrasted with outbreaks in the Netherlands. The population was reduced by a parasitoid which acted density independently. At these low densities, a mosaic of gaps is formed in the vegetation by spatial heterogeneity of heather beetle attacks. These gaps behave in a similar fashion to degenerate gaps, and most Calluna regeneration occurs by layering. The value and limitation of Watt's model is discussed, especially by reference to forest gap-dynamics theory.
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Liu, Ning. "Changes in water and carbon in Australian vegetation in response to climate change." Thesis, Liu, Ning (2017) Changes in water and carbon in Australian vegetation in response to climate change. PhD thesis, Murdoch University, 2017. https://researchrepository.murdoch.edu.au/id/eprint/40206/.

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Australia has experienced pronounced climate change since 1950, especially in forested areas where a reducing trend in annual precipitation has occurred. However, the interaction between forests and water at multiple scales, in different geographical locations, under different management regimes and in different forest types with diverse species is not fully understood. Therefore, some interactions between forests and hydrological variables, and in particular whether the changes are mediated by management or climate, remain controversial. This thesis investigates the responses of Australia’s terrestrial ecosystems to both historical and projected climate change using remote sensing data and ecohydrological models. The thesis is structured in seven chapters, and contains five research chapters. Vegetation dynamics and sensitivity to precipitation change on the Australian continent for the past long drought period (2002-2010) are explored in Chapter 2 using multi-resource vegetation indices (VIs; normalized difference vegetation index (NDVI) and leaf area index (LAI)) and gridded climate data. During drought, precipitation and VIs declined across 90% and 80% of the whole continent, respectively, compared to the baseline period of 2000-2001. The most dramatic declines in VIs occurred in open shrublands near the centre of Australia and in southwestern Australia coinciding with significant reductions in precipitation and soil moisture. Overall, a strong relationship between water (precipitation and soil moisture) and VIs was detected in places where the decline in precipitation was severe. For five major vegetation types, cropland showed the highest sensitivity to water change, followed by grassland and woody savanna. Open shrublands showed moderate sensitivity to water change, while evergreen broadleaf forests only showed a slight sensitivity to soil moisture change. Although there was no consistent significant relationship between precipitation and VIs of evergreen broadleaf forests, forests in southeastern Australia, where precipitation had declined since 1997, appear to have become more sensitive to precipitation change than in southwestern Australia. The attribution of impacts from climate change and vegetation on streamflow change at the catchment scale for southwestern Australia are described in Chapter 3. This region is characterized by intensive warming and drying since 1970. Along with these significant climate changes, dramatic declines in streamflow have occurred across the region. Here, 79 catchments were analyzed using the Mann-Kendall trend test, Pettitt’s change point test, and the theoretical framework of the Budyko curve to study changes in the rainfall-runoff relationship, and effects of climate and vegetation change on streamflow. A declining trend and relatively consistent change point (2000) of streamflow were found in most catchments, with over 40 catchments showing significant declines (p < 0.05, -20% to -80%) between the two periods of 1982-2000 and 2001-2011. Most of the catchments have been shifting towards a more water-limited climate condition since 2000. Although streamflow is strongly related to precipitation for the period of 1982 to 2011, change of vegetation (land cover/use change and growth of vegetation) dominated the decrease in streamflow in about two-thirds of catchments. The contributions of precipitation, temperature and vegetation to streamflow change for each catchment varied with different catchment characters and climate conditions. In Chapter 4, the magnitude and trend of water use efficiency (WUE) of forest ecosystems in Australia, and their response to drought from 1982 to 2014, were analyzed using a modified version of the Community Atmosphere Biosphere Land Exchange (CABLE) land surface model in the BIOS2 modelling environment. Instead of solely relying on the ratio of gross primary productivity (GPP) to evapotranspiration (ET) as WUE (GPP/ET), the ratio of net primary productivity (NPP) to Transpiration (ETr) (NPP/ETr) was also adopted to more comprehensively understand the response of vegetation to drought. For the study period, national average annual forest WUE was 1.39 ± 0.80 g C kg−1 H2O for GPP/ET and 1.48 ± 0.28 g C kg−1 H2O for NPP/ETr. The WUE increased in the entire study area during this period (with a rate of 0.003 g C kg−1 H2O yr-1 for GPP/ET; p < 0.005 and a rate of 0.0035 g C kg−1 H2O yr-1 for NPP/ETr; p < 0.01), whereas different trends were detected in different biomes. A significantly increasing trend of annual WUE was only found in woodland areas due to higher magnitudes of increases in GPP and NPP than ET and ETr. The exception was in eucalyptus open forest area where ET and ETr decreased more than reductions in GPP and NPP. The response of WUE to drought was further analyzed using 1-48 month scales standardised precipitation-evapotranspiration index (SPEI). More severe (SPEI < -1) and frequent droughts (over ca. 8 years) occurred in the north than in the southwest and southeast of Australia since 1982. The response of WUE to drought varied significantly regionally and across forest types. The response of WUE to drought varied significantly regionally and across forest types, due to the different responses of carbon sequestration and water consumption to drought. The cumulative lagged effect of drought on monthly WUE derived from NPP/ETr was consistent and relatively short and stable between biomes (< 4 months), but notably varied for WUE based on GPP/ET, with a long time lag (mean of 16 months). As Chapters 2-4 confirmed that climate change has been playing an important role in the water yield and vegetation dynamics in Australia, the response of water yield and carbon sequestration to projected future climate change scenarios were integrated using the Water Supply Stress Index and Carbon model (WaSSI-C) ecohydrology model in Chapter 5. This model was calibrated with the latest water and carbon observations from the OzFlux network. The performance of the WaSSI-C model was assessed with measures of Q from 222 Hydrologic Reference Stations (HRSs) in Australia. Across the 222 HRSs, the WaSSI-C model generally captured the spatial variability of mean annual and monthly Q as evaluated by the Correlation Coefficient (R2 = 0.1-1.0), Nash-Sutcliffe Efficiency (NSE = -0.4-0.97), and normalized Root Mean Squared Error by Q (RMSE/Q = 0.01-2.2). Then 19 Global Climate Models (GCMs) from the Coupled Model Intercomparison Project phase 5 (CMIP5), across all Representative Concentration Pathways (RCPs) (RCP2.6, RCP4.5, RCP6.0 and RCP8.5), were used to investigate the potential impacts of climate change on water and carbon fluxes. Compared with the baseline period of 1995-2015 across the 222 HRSs, the temperature was projected to rise by an average of 0.56 to 2.49 ˚C by 2080, while annual precipitation was projected to vary significantly. All RCPs demonstrated a similar spatial pattern of change of projected Q and GPP by 2080, however, the magnitude varied widely among the 19 GCMs. Overall, future climate change may result in a significant reduction in Q but may be accompanied by an increase in ecosystem productivity. Mean annual Q was projected to decrease by 5 - 211 mm yr-1 (34% - 99%) by 2080, with over 90% of the watersheds declining. On the contrary, GPP was projected to increase by 17 - 255 g C m-2 yr-1 (2% - 17%) by 2080 in comparison with 1995-2015 in southeastern Australia. A significant limitation of WaSSI-C model is that it only runs serially. High resolution simulations at the continental scale are therefore not only computationally expensive but also present a run-time memory burden. In Chapter 6, using distributed (Message Passing Interface, MPI) and shared (Open Multi-Processing, OpenMP) memory parallelism techniques, the model was parallelized (and renamed as dWaSSI-C), and this approach was very effective in reducing the computing run-time and memory use. By using the parallelized model, several experiments were carried out to simulate water and carbon fluxes over the Australian continent to test the sensitivity of the model to input data-sets of different resolutions, as well as the sensitivity of the model to its WUE parameter for different vegetation types. These simulations were completed within minutes using dWaSSI-C, and this would not have been possible with the serial version. Results show that the model is able to simulate the seasonal cycle of GPP reasonably well when compared to observations at 4 eddy flux sites in Australia. The sensitivity analysis showed that simulated GPP was more sensitive to WUE during the Australian summer as compared to winter, and woody savannas and grasslands showed higher sensitivity than evergreen broadleaf forests and shrublands. With the parallelized dWaSSI-C model, it will now be much easier and faster to conduct continental scale analyses of the impacts of climate change and land cover change on water and carbon. Overall, vegetation and water of Australian ecosystems have become very sensitive to climate change after a considerable decline in streamflow. Australian ecosystems, especially in temperate Australia, are projected to experience warmer and drier climate conditions with increasing drought risk. However, the prediction from different models varied significantly due to the uncertainty of each climate model. The impacts of different forest management scenarios should be studied to find the best land use pattern under the changing climate. Forest management methods, such as thinning and reforestation, may be conducted to mitigate the impacts of drought on water yield and carbon sequestration in the future.
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Silva, Rui Pedro Guerreiro Duarte Rivaes. "Predicting the effects of climatic change on mediterranean riparian vegetation using a dynamic vegetation model." Master's thesis, ISA, 2010. http://hdl.handle.net/10400.5/2883.

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Mestrado em Gestão e Conservação de Recursos Naturais - Instituto Superior de Agronomia
The present master's thesis, had as its main objective the application of a dynamic model of riparian habitats in a case study with pronounced mediterranean characteristics. he vegetation model used is based on the existence of water conditions (water height and distance to water) suitable for the development of each type of riparian vegetation in different stages of their development, modeling annually its space-time evolution. The rules underlying the model take into account the height of the flow, the shear stress and duration of flooding. The modeling of vegetation held in ArcGIS environment, bases on three general ohases: initial creation of landscape, simulation of temporal and spatial evolution of vegetation and the presentation of annual results.
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Maranganti, Sashikiran. "Vegetation Change Detection in India Using MODIS Satellite Images." Thesis, Linköping University, Department of Computer and Information Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56591.

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Due to man made events and natural causes many regions are currently undergoing rapid and wide ranging changes in land cover globally including developing and developed countries. India is one of them where land use and land cover change are taking place at a rapid pace. Forests are the most valuable natural resources available to the mankind on planet earth. On the one hand, they are the essential source of livelihood for the poor and marginalized sections of the society; on the other hand they provide furniture and other items of desire for the rich. Forest land cover change is an important input for modeling ecological and environmental processes at various scales. Rapid delineation in naturally forested regions is one of the major environmental issues facing the world today. It has been estimated that vegetation change threatens about one sixth of the world's population and one quarter of global terrestrial land. Vegetation cover plays a key role in terrestrial biophysical process and is related to a number of ways to the dynamics of global climate. Monitoring seasonal changes in vegetation activity and crop phenology over wide areas is essential for many applications, such as estimation of net primary production, deciding time boundary conditions for crop yield modeling and supporting decisions about water supply. Vegetations are the major part of land cover and their changes have an important influence on the energy and mass biochemical cycles and are also a key indicator of regional ecological environment change. Urbanization, demand of land for agriculture and demand of timbers for industrial purposes are the main reasons of manmade natural forest destruction. Though we are planting trees through reforestation and afforestation programs but these new forests never can be the representative of natural forest. In order to understand and manage environment at large variety of temporal and spatial scales, up-to-date and reliable information is required all the time. Remote Sensing is a valuable data source which can provide us land-use/land-cover change information on a continuous basis with very high accuracy. Remotely sensed data like aerial photographs and satellite images are the only option that allows detecting land cover changes on a large scale. Satellite images have the potential of offering the most accurate and latest information compared to statistical, topographic or land use maps. In this study an attempt has been made in analyzing vegetation change detection that took place between 2000 and 2005 using Terra MODIS 32 day 500m time series data on a monthly basis. With the launch of National Aeronautics and Space Administration (NASA) onboard aqua and terra platform, a new generation of satellite sensor data is now available. Normalized Difference Vegetation Index method has been employed for accurate classification of images and has proved to be successful.

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Scherrer, Pascal, and n/a. "Monitoring Vegetation Change in the Kosciuszko Alpine Zone, Australia." Griffith University. Australian School of Environmental Studies, 2004. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20040715.125310.

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This thesis examined vegetation change over the last 43 years in Australia's largest contiguous alpine area, the Kosciuszko alpine zone in south-eastern Australia. Using historical and current data about the state of the most common vegetation community, tall alpine herbfield, this thesis addressed the questions: (1) what were the patterns of change at the species/genera and life form levels during this time period; (2) what were the patterns of recovery, if recovery occurred, from anthropogenic disturbances such as livestock grazing or trampling by tourists; (3) what impacts did natural disturbances such as drought have on the vegetation and how does it compare to anthropogenic disturbances; and (4) What are the benefits, limitations and management considerations when using long-term data for assessing vegetation changes at the species/genera, life form and community levels? The Kosciuszko alpine zone has important economic, cultural and ecological values. It is of great scientific and biological importance, maintaining an assemblage of vegetation communities found nowhere else in the world. It is one of the few alpine regions in the world with deep loamy soils, and contains endemic flora and fauna and some of the few periglacial and glacial features in Australia. The area also forms the core of the Australian mainland's most important water catchment and is a popular tourist destination, offering a range of recreational opportunities. The vegetation of the Kosciuszko alpine zone is recovering from impacts of livestock grazing and is increasingly exposed to pressures from tourism and anthropogenic climate change. At the same time, natural disturbances such as drought and fire can influence the distribution, composition and diversity of plants. Thus, there is a need for detailed environmental data on this area in order to: (1) better understand ecological relationships; (2) understand existing and potential effects of recreational and management pressures on the region; (3) provide data against which future changes can be assessed; and (4) provide better information on many features of this area, including vegetation, for interpretation, education and management. The research in this thesis utilised three types of ecological information: (1) scientific long-term datasets; (2) photographic records; and (3) a comparison of disturbed and undisturbed vegetation. This research analysed data from one of the longest ongoing monitoring programs in the Australian Alps established by Alec Costin and Dane Wimbush in 1959. Permanent plots (6 transects and 30 photoquadrats) were established at two locations that differed in the time since grazing and have been repeatedly surveyed. Plots near Mt Kosciuszko had not been grazed for 15 years and had nearly complete vegetation cover in 1959, while plots near Mt Gungartan showed extensive impacts of grazing and associated activities which only ceased in 1958. Some transect data from 1959 to 1978 have been analysed by the original researchers. The research presented in this thesis extends this monitoring program with data from additional surveys in 1990, 1999 and 2002 and applies current methods of statistical evaluation, such as ordination techniques, to the whole data set for the first time. Results indicated that the recovery from livestock grazing and the effects of drought have been the main factors affecting vegetation. Recovery from livestock grazing at the three transects at Gungartan was slow and involved: (1) increasing genera diversity; (2) increasing vegetation cover; (3) decreasing amounts of bare ground; and (4) a directional change over time in species composition. Patterns of colonisation and species succession were also documented. In 2002, 44 years after the cessation of grazing, transects near Mt Gungartan had similar vegetation cover and genera diversity to the transects near Mt Kosciuszko, but cover by exposed rock remained higher. A drought in the 1960s resulted in a temporary increase of litter and a shift in the proportional cover of life forms, as grasses died and herb cover increased at both locations. Proportions of cover for life forms reverted to pre-drought levels within a few years. The results also highlighted the spatial variability of tall alpine herbfield. The photoquadrats were surveyed in the years 1959, 1964, 1968, 1978 and 2001 and are analysed for the first time in this thesis. After comparing a range of methods, visual assessment using a 130 point grid was found to be the most suitable technique to measure vegetation cover and genera diversity. At the 18 quadrats near Mt Gungartan, there was a pattern of increasing vegetation cover as bare areas were colonised by native cudweeds and the naturalized herb Acetosella vulgaris. Revegetation from within bare areas largely occurred by herb species, while graminoids and shrub species predominately colonised bare ground by lateral expansion from the edges, eventually replacing the colonising herbs. At the 12 quadrats near Mt Kosciuszko, vegetation cover was almost complete in all years surveyed except 1968, which was at the end of a six year drought. Similar to the results from the transect study, the drought caused an increase in litter at both locations as graminoid cover declined. Initially herb cover increased, potentially as a result of decreased competition from the graminoids and a nutrient spike from decaying litter, but as the drought became more severe, herb cover also declined. Graminoid cover rapidly recovered after the drought, reaching pre-drought levels by 1978, and was at similar levels in 2001. Herb cover continued to decline after peaking in 1964. The photoquadrat study also documented the longevity and growth rates of several species indicating that many taxa may persist for several decades. It further provided insights into replacement patterns amongst life forms. In addition to assessing vegetation change following livestock grazing and drought at the long-term plots, recovery from tourism impacts was examined by comparing vegetation and soils on a closed walking track, with that of adjacent undisturbed tall alpine herbfield at a series of 22 paired quadrats. Fifteen years after the track was closed there was limited success in restoration. Over a quarter of the closed track was still bare ground with non-native species the dominant vegetation. Plant species composition differed and vegetation height, soil nutrients and soil moisture were lower on the track which had a higher compaction level than adjacent natural vegetation. The results presented in this thesis highlight that tall alpine herbfield is characterised by nearly entire vegetation cover which is dominated by graminoids, followed by herbs and shrubs in the absence of disturbance by livestock grazing, trampling or drought. The studies also showed that under quot;average" conditions, the relative cover of herbs and graminoids remained fairly stable even though there can be considerable cycling between them. Spatial variability in terms of taxa composition was high. The only common introduced species in unrehabilitated sites was Acetosella vulgaris, which was effective at colonising bare ground but was eventually replaced by other native species. However, in areas actively rehabilitated, such as on the closed track, non-native species introduced during revegetation efforts still persist with high cover 15 years after their introduction. Monitoring of vegetation change is also important at the landscape scale. This thesis provides a review of the potential use, the limitations and the benefits of aerial photography to examine vegetation change in the Kosciuszko alpine zone. Numerous aerial photography runs have been flown over the area since the 1930s for government agencies, industry and the military. Some of these records have been used to map vegetation communities and eroding areas at a point in time. Other studies compared different types and scales of photographs, highlighting in particular the benefits and potential of large scale colour aerial photography to map alpine vegetation. However, despite their potential to assess vegetation change over time, a temporal comparison of vegetation in the Kosciuszko alpine zone from aerial photographs has not been completed to this date. Historical photographs may not be easy to locate or access and difficulties with vegetation classification may restrict the practicality of using historical aerial photographs to assess vegetation change. Despite these issues, aerial photography may provide a very useful and efficient tool to assess changes over time when applied appropriately, even in alpine environments. The development of digital classification techniques, the application of statistical measures of error to both methodology and data, and the application of geographic information systems are likely to further improve the practicality of historical aerial photographs for the detection of vegetation change and assist in overcoming some of the limitations. The results presented in this thesis highlight the need for limiting disturbance, for ongoing rehabilitation of disturbed areas and for long-term monitoring in the Kosciuszko alpine zone. The results contribute to our understanding of how vegetation may change in the future and may be affected by new land use activities and climate change. This type of information, which otherwise would require the establishment of long-term studies and years of monitoring, can assist land managers of this and other important protected areas. The study highlights how the use and expansion of already existing datasets to gather ecological information can save considerable money and time, providing valuable data for current and emerging issues.
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Musgrove, Nicholas James. "Land use and vegetation change on the Long Mynd." Thesis, University of Wolverhampton, 2009. http://hdl.handle.net/2436/84479.

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The plant communities of the Long Mynd plateau are the culmination of over 3000 years of human intervention that largely deforested the uplands, and subsequently maintained the generally treeless heath and grassland communities now extant. The capacity of these communities to respond to directional change is well known, indeed the traditional mode of heathland management, burning, depends on the regenerative capacity of the target species, generally heather (Calluna vulgaris), for its success. However, changes in post WW2 stocking practice; the loss of ponies followed by an increase in the numbers of sheep and a change to them being overwintered on the hill, led to excessive grazing and damage to the heath. This coincided with the spread over the hill by bracken (Pteridium aquilinum) and other changes in the distribution and nature of the vegetation. A sequence of vegetation surveys made by various individuals and organisations over the past 75 years or so has been analysed in an attempt to delineate spatial and temporal changes in the vegetation. This demonstrated the need for a standardised survey methodology to allow consistent monitoring. The analysis showed that bracken had been infiltrating most of the communities from its origins outside the lower limits of the Common as well as from some of the valley sides. Within the last decade, this expansion has apparently been contained in line with the current management plan for control. A survey of 730 quadrats in some 30 stands was made to characterise the variation of the vegetation on the plateau, and to relate it to some of the associated environmental factors. Classification, unconstrained ordination and ordination constrained by the abiotic environmental variables, showed that, a) the strongest trend in the vegetation distinguished water-flushed communities, b) non-wetland communities differentiate between heathland and grassland, c) this trend can be only partly be attributed to the measured abiotic environmental variables, d) the amount of pure Pteridietum [U20] is limited, although much of the heathland and grassland has bracken within it. There are indications that invasion by bracken often correlates with a loss of dominance of Calluna in favour of Deschampsia flexuosa and Vaccinium myrtillus. Difficulties in associating these trends with measured abiotic variables suggests, other factors probably management processes, are critical in driving this trend. Distribution of ‘heathland’ bryophytes was found to be associated more with the structure of their ‘host’ vascular communities rather than with abiotic factors. Finally, this investigation considers the practical implications with regard to the future encouragement of heather and the control of bracken. Cutting rather than burning appears to be the ecologically most suitable method for heather regeneration and bracken control.
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Kennedy, Michael Patrick. "Predicting the impact of hydrological change on wetland vegetation." Thesis, University of Glasgow, 2001. http://theses.gla.ac.uk/3984/.

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During a three year field study (1997-2000) vegetation assemblages, collective vegetation variables, traits of dominant populations and hydrological and hydrochemical variables were repeat-sampled within seven wetland sites across Scotland and northern England. These ranged from the Irish Marshes, Inverness-shire in the north, to Tarn Moss, Cumbria at the southern extreme. Sampling was conducted at a total of fifty-six permanent sample stations located along a total of eleven transects. Vegetation groupings were defined using multivariate analyses, and were classified as various fen, mire, and swamp NVC community types. The various groups were characterised by the values for the range of variables measured, and significant differences were seen between a number of these variables for different groupings. In addition, certain separate groupings with the same community classification were also seen to have significant variations between them in terms of trophic status, and canopy height and biomass values. Collective vegetation variables and dominant population trait values were successfully predicted from physical and chemical variables measured within the groundwater and substrate during 1999. A number of specific models incorporating relatively large numbers of predictor variables were proposed alongside more general models incorporating fewer predictor variables. The greatest predictive power with R2 = 0.67 (p<0.001) for a model predicting stem density (m-2). Conversely, vegetation variables proved useful for predicting characteristics of the groundwater environment, for which specific and general models were against proposed. In this instance, the greatest predictive power was R2 = 0.79 (p<0.001) for a model predicting minimum water table level (i.e. maximum level of drawdown). The models were tested using data collected during 2000 from repeat sites and independent sites. Whilst some of the variables were predicted within noisy limits, predicted values generally corresponded well to observed values.
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Books on the topic "Vegetation change"

1

Burrows, C. J. Processes of vegetation change. London: Unwin Hyman, 1990.

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Burrows, Colin J. Processes of Vegetation Change. Dordrecht: Springer Netherlands, 1991.

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Burrows, Colin J. Processes of Vegetation Change. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3058-5.

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1943-, Solomon Allen M., and Shugart H. H, eds. Vegetation dynamics & global change. New York: Chapman & Hall, 1993.

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Solomon, Allen M., and Herman H. Shugart, eds. Vegetation Dynamics & Global Change. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2816-6.

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Ecology, Institute of Terrestrial, and Great Britain. Department of the Environment, Transport and the Regions, eds. Measuring change in British vegetation. Grange-over-Sands, Cumbria: Institute of Terrestrial Ecology, 1999.

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Meharg, Judith Louise. Vegetation change and management at South Woodburn. [S.l: The Author], 1991.

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Funicelli, Carianne S. Long-term vegetation monitoring at Saguaro National Park: A decade of change. Tucson, Ariz: United States Geological Survey, Western Ecological Research Center, Sonoran Desert Field Station and School of Renewable Natural Resources, University of Arizona, 2001.

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Funicelli, Carianne S. Long-term vegetation monitoring at Saguaro National Park: A decade of change. Tucson, Ariz: United States Geological Survey, Western Ecological Research Center, Sonoran Desert Field Station and School of Renewable Natural Resources, University of Arizona, 2001.

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Strange, Elizabeth M. Utility guidance for mitigating catastrophic vegetation change in watersheds. Denver, Colo: Water Research Foundation, 2009.

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Book chapters on the topic "Vegetation change"

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van Huissteden, J. "Vegetation Change." In Thawing Permafrost, 367–432. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31379-1_6.

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Huntley, Brian, and Robert Baxter. "Vegetation Ecology and Global Change." In Vegetation Ecology, 509–30. Oxford, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118452592.ch17.

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Shugart, Herman H. "Global Change." In Vegetation Dynamics & Global Change, 3–21. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2816-6_1.

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Burrows, Colin J. "The nature of vegetation and kinds of vegetation change." In Processes of Vegetation Change, 1–22. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-011-3058-5_1.

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Burrows, Colin J. "Processes of vegetation change." In Processes of Vegetation Change, 359–419. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-011-3058-5_11.

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Archibold, O. W. "The prospect of change." In Ecology of World Vegetation, 425–36. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0009-0_13.

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Burrows, Colin J. "Changes in some tropical forests." In Processes of Vegetation Change, 330–58. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-011-3058-5_10.

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Burrows, Colin J. "Community phenomena in vegetation change." In Processes of Vegetation Change, 420–64. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-011-3058-5_12.

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Burrows, Colin J. "On the theory of vegetation change." In Processes of Vegetation Change, 465–89. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-011-3058-5_13.

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Burrows, Colin J. "Plants and their abiotic environment." In Processes of Vegetation Change, 23–73. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-011-3058-5_2.

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Conference papers on the topic "Vegetation change"

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Huang, Fang, Ping Wang, and Xiangnan Liu. "Evaluating Interannual Vegetation Change in Songnen Plain from SPOT/VEGETATION Imagery." In 2008 Congress on Image and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/cisp.2008.299.

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"Vulnerability of Green Infrastructure Vegetation to Climate Change." In ASABE 1st Climate Change Symposium: Adaptation and Mitigation. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/cc.20152144038.

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Dissanayake, C., UGD Weerasinghe, and KWJP Wijesundara. "URBAN VEGETATION AND MORPHOLOGY PARAMETERS AFFECTING MICROCLIMATE AND OUTDOOR THERMAL COMFORT IN WARM HUMID CITIES – A REVIEW OF RESEARCH IN THE PAST DECADE." In The 5th International Conference on Climate Change 2021 – (ICCC 2021). The International Institute of Knowledge Management, 2021. http://dx.doi.org/10.17501/2513258x.2021.5101.

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Urbanization provokes major modifications to the natural landscape. As the urban population reaches 60% of the world's population by 2030, this constant development, neglecting the planning and design of open spaces, negatively affects microclimate. This leads to local climate change, urban heat islands, and outdoor thermal discomfort. This paper is based on the recent studies of urban morphology and vegetation parameters affecting urban microclimate and outdoor thermal comfort in warm, humid cities in the past decade. Results revealed that three factors are of paramount importance and affect the thermal comfort level; urban space morphology, the orientation of elements and spaces, and vegetation. Therefore, Scenario developments for micrometeorological simulations should be processed considering the identified parameters of urban morphology and vegetation which are further categorized as parameters of geometry, density, configuration, and the physical properties of plants. However, the Configuration of urban vegetation that affects the thermal comfort of urban spaces has not received adequate attention in previous research yet. Thus, future research is needed considering the planting patterns, arrangement of various species, and planting orientations with prevailing wind conditions. By the end of this review, a theoretical framework is suggested as an approach to assess the impact of urban vegetation and morphology parameters on outdoor thermal comfort in warm, humid climates. The framework guides further research adopting more specific and comprehensive approaches of urban vegetation configuration with reference to specific urban morphologies to improve the local microclimate of cities, where the space for planting is critical. Keywords: urban vegetation, urban morphology, vegetation configuration, outdoor thermal comfort, warm humid cities, Climate change
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Voarintsoa, Ny Riavo G. "STALAGMITE δ 13C CHANGES AND VEGETATION COVER CHANGE IN NORTHWESTERN MADAGASCAR." In GSA Annual Meeting in Denver, Colorado, USA - 2016. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016am-287917.

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Liu, Xiangnan, Fang Huang, and Ping Wang. "Vegetation cover change in semi-arid Northeast China using SPOT VEGETATION data." In Optical Engineering + Applications, edited by Wei Gao and Susan L. Ustin. SPIE, 2007. http://dx.doi.org/10.1117/12.733239.

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Yu, Hui, and Yonghong Jia. "Vegetation change detection for urban areas based on extended change vector analysis." In Geoinformatics 2006: Remotely Sensed Data and Information, edited by Liangpei Zhang and Xiaoling Chen. SPIE, 2006. http://dx.doi.org/10.1117/12.712719.

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Katta, Yamini, Nomitha Datla, Sowmya Sri Kilaru, and T. Anuradha. "Change Detection in Vegetation Cover Using Deep Learning." In 2019 International Conference on Communication and Electronics Systems (ICCES). IEEE, 2019. http://dx.doi.org/10.1109/icces45898.2019.9002581.

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De la Barreda Bautista, Betsabé, and Alejandra A. López-Caloca. "Vegetation cover change detection in Chamela-Cuixamala, Mexico." In SPIE Europe Remote Sensing, edited by Christopher M. U. Neale and Antonino Maltese. SPIE, 2009. http://dx.doi.org/10.1117/12.830547.

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Jia, Yonghong, Yueyan Liu, Hui Yu, and Deren Li. "Vegetation change detection based on image fusion technique." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.655214.

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Elvidge, Christopher D., and Frederick P. Portigal. "Change detection in vegetation using 1989 AVIRIS data." In Imaging Spectroscopy of the Terrestrial Environment, edited by Gregg Vane. SPIE, 1990. http://dx.doi.org/10.1117/12.21349.

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Reports on the topic "Vegetation change"

1

Dennis Hansen and Kent Ostler. Vegetation Change Analyses User's Manual. Test accounts, October 2002. http://dx.doi.org/10.2172/901988.

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D. J. Hansen and W. K. Ostler. Vegetation Change Analysis User's Manual. Office of Scientific and Technical Information (OSTI), October 2002. http://dx.doi.org/10.2172/801915.

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Hannam, Michael, Amy Miller, and James Walton. Monitoring vegetation change in coastal marshes of Southwest Alaska, 2007–2018. National Park Service, December 2020. http://dx.doi.org/10.36967/nrr-2280108.

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Yansa, C. H., and J. F. Basinger. A postglacial plant macrofossil record of vegetation and climate change in southern Saskatchewan. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1999. http://dx.doi.org/10.4095/211115.

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Barrett, T. M. Models of vegetation change for landscape planning: a comparison of FETM, LANDSUM, SIMPPLLE, and VDDT. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2001. http://dx.doi.org/10.2737/rmrs-gtr-76.

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Johnson, Sarah, Michael Sinclair, Emily Leonard, and Forrest Rosenbower. Development of strategies for monitoring and managing sandscape vegetation, with an assessment of declining vegetation in the Apostle Islands National Lakeshore. National Park Service, April 2022. http://dx.doi.org/10.36967/nrr-2293187.

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Coastal dune habitats such as those of the Apostle Islands National Lakeshore (APIS) are regionally rare habitats of global and state-wide concern. Their dynamic, sandy landforms provide habitat for unique species specifically adapted to frequent disturbance, drought, and other stresses. Despite having disturbance-driven life histories, these species are at risk due to increased visitor use of sandscape habitats and environmental change. Resource managers at APIS have long understood the values of these sandscapes and threats presented by recreational trampling, but more recently they have recognized the precarious position that these coastal habitats are in due to their proximity to the lake and exposure to weather-related phenomena linked with long-term climate change. In recognition of emerging threats and the need to track impacts of these threats, park managers initiated a revision of their methods for monitoring sandscape vegetation. We applied these methods to 15 sandscape locations within the national lakeshore in 2014. Here, we outline what these revisions to the methods were, assess the current status of sandscape structure and composition, assess the utility of data collected with these methods, provide suggestions for further revisions of the sampling method, outline a two-tiered sampling approach for future monitoring, and we provide management recommendations. In a second section of the report, we provide a focused assessment of the size and health of Juniperus communis (common juniper), a target species of concern in these sandscape communities after it was observed by park managers to be dying or stressed on Michigan Island. Our assessments include the status of J. communis across all sandscapes monitored in 2014, and an analysis of change over time since 2012 in the health of J. communis on Michigan, Outer, and Stockton Islands. We provide evidence of impacts by rodents on foliar dieback, primarily on Michigan Island, and we discuss possible interactions with the non-native pale juniper web-worm (Aethes rutilana) and with climate change.
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Johnson, Sarah, Michael Sinclair, Emily Leonard, and Forrest Rosenbower. Development of strategies for monitoring and managing sandscape vegetation, with an assessment of declining vegetation in the Apostle Islands National Lakeshore. National Park Service, April 2022. http://dx.doi.org/10.36967/nrr-2293187.

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Coastal dune habitats such as those of the Apostle Islands National Lakeshore (APIS) are regionally rare habitats of global and state-wide concern. Their dynamic, sandy landforms provide habitat for unique species specifically adapted to frequent disturbance, drought, and other stresses. Despite having disturbance-driven life histories, these species are at risk due to increased visitor use of sandscape habitats and environmental change. Resource managers at APIS have long understood the values of these sandscapes and threats presented by recreational trampling, but more recently they have recognized the precarious position that these coastal habitats are in due to their proximity to the lake and exposure to weather-related phenomena linked with long-term climate change. In recognition of emerging threats and the need to track impacts of these threats, park managers initiated a revision of their methods for monitoring sandscape vegetation. We applied these methods to 15 sandscape locations within the national lakeshore in 2014. Here, we outline what these revisions to the methods were, assess the current status of sandscape structure and composition, assess the utility of data collected with these methods, provide suggestions for further revisions of the sampling method, outline a two-tiered sampling approach for future monitoring, and we provide management recommendations. In a second section of the report, we provide a focused assessment of the size and health of Juniperus communis (common juniper), a target species of concern in these sandscape communities after it was observed by park managers to be dying or stressed on Michigan Island. Our assessments include the status of J. communis across all sandscapes monitored in 2014, and an analysis of change over time since 2012 in the health of J. communis on Michigan, Outer, and Stockton Islands. We provide evidence of impacts by rodents on foliar dieback, primarily on Michigan Island, and we discuss possible interactions with the non-native pale juniper web-worm (Aethes rutilana) and with climate change.
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Gonzalez-Meler, Miquel A., Jeffrey M. Welker, and Neil C. Sturchio. Permafrost Thawing and Vegetation Change Effects on Cryoturbation Rates and C and CH4 Dynamics. Final Report. Office of Scientific and Technical Information (OSTI), November 2016. http://dx.doi.org/10.2172/1374443.

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Judd, Chaeli, Emily S. Stefansson, and Heather Brushnahan. GoMRC Website ?Meta-analysis Report: Land-use and submerged aquatic vegetation change in the Gulf of Mexico? Office of Scientific and Technical Information (OSTI), December 2007. http://dx.doi.org/10.2172/975004.

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10

Bross, Lesley. Using Landsat TM Imagery to Monitor Vegetation Change Following Flow Restoration to the Lower Owens River, California. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2631.

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