Animal movement patterns in space and time are a central aspect of animal ecology. Remotely-sensed environmental indices can play a key role in understanding movement patterns by providing contiguous, relatively fine-scale data that link animal movements to their environment. Still, implementation of newly available remotely-sensed data is often delayed in studies of animal movement, calling for a better flow of information to researchers less familiar with remotely-sensed data applications. Here, we reviewed the application of remotely-sensed environmental indices to infer movement patterns of animals in terrestrial systems in studies published between 2002 and 2013. Next, we introduced newly available remotely-sensed products, and discussed their opportunities for animal movement studies. Studies of coarse-scale movement mostly relied on satellite data representing plant phenology or climate and weather. Studies of small-scale movement frequently used land cover data based on Landsat imagery or aerial photographs. Greater documentation of the type and resolution of remotely-sensed products in ecological movement studies would enhance their usefulness. Recent advancements in remote sensing technology improve assessments of temporal dynamics of landscapes and the three-dimensional structures of habitats, enabling near real-time environmental assessment. Online movement databases that now integrate remotely-sensed data facilitate access to remotely-sensed products for movement ecologists. We recommend that animal movement studies incorporate remotely-sensed products that provide time series of environmental response variables. This would facilitate wildlife management and conservation efforts, as well as the predictive ability of movement analyses. Closer collaboration between ecologists and remote sensing experts could considerably alleviate the implementation gap. Ecologists should not expect that indices derived from remotely-sensed data will be directly analogous to field-collected data and need to critically consider which remotely-sensed product is best suited for a given analysis.
File: Neumann_etal_MovementEcology_2015.pdf
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In the former Eastern Bloc countries, there have been dramatic changes in forest disturbance and forest recovery rates since the collapse of the Soviet Union, due to the transition to open-market economies, and the recent economic crisis. Unfortunately though, Eastern European countries collected their forest statistics inconsistently, and their boundaries have changed, making it difficult to analyze forest dynamics over time. Our goal here was to consistently quantify forest cover change across Eastern Europe since the 1980s based on the Landsat image archive. We developed an algorithm to simultaneously process data from different Landsat platforms and sensors (TM and ETM+) to map annual forest cover loss and decadal forest cover gain. We processed 59,539 Landsat images for 527 footprints across Eastern Europe and European Russia. Our results were highly accurate, with gross forest loss producer's and user's accuracy of N88% and N89%, respectively, and gross forest gain producer's and user's accuracy of N75% and N91%, based on a sample of probability-based validation points.We found substantial changes in the forest cover of Eastern Europe. Net forest cover increased from 1985 to 2012 by 4.7% across the region, but decreased in Estonia and Latvia. Average annual gross forest cover loss was 0.41% of total forest cover area, with a statistically significant increase from 1985 to 2012. Timber harvesting was the main cause of forest loss, accompanied by some insect defoliation and forest conversion, while only 7.4% of the total forest cover loss was due to large-scale wildfires and windstorms. Overall, the countries of Eastern Europe experienced constant levels or declines in forest loss after the collapse of socialism in the late 1980s, but a pronounced increase in loss in the early 2000s. By the late 2000s, however, the global economic crisis coincided with reduced timber harvesting in most countries, except Poland, Czech Republic, Slovakia, and the Baltic states. Most forest disturbance did not result in a permanent forest loss during our study period. Indeed, forest generally recovered fast and only 12% of the areas of forest loss prior to 1995 had not yet recovered by 2012. Our results allow national and sub-national level analysis and are available on-line (http://glad.geog.umd.edu/europe/) to serve as a baseline for further analyses of forest dynamics and its drivers.
File: Potapov_etal_RSE_2015.pdf
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In an effort to increase conservation effectiveness through the use of Earth observation technologies, a group of remote sensing scientists affiliated with government and academic institutions and conservation organizations identified 10 questions in conservation for which the potential to be answered would be greatly increased by use of remotely sensed data and analyses of those data. Our goals were to increase conservation practitioners' use of remote sensing to support their work, increase collaboration between the conservation science and remote sensing communities, identify and develop new and innovative uses of remote sensing for advancing conservation science, provide guidance to space agencies on how future satellite missions can support conservation science, and generate support from the public and private sector in the use of remote sensing data to address the 10 conservation questions. We identified a broad initial list of questions on the basis of an email chain-referral survey. We then used a workshop-based iterative and collaborative approach to whittle the list down to these final questions (which represent 10 major themes in conservation): How can global Earth observation data be used to model species distributions and abundances? How can remote sensing improve the understanding of animal movements? How can remotely sensed ecosystem variables be used to understand, monitor, and predict ecosystem response and resilience to multiple stressors? How can remote sensing be used to monitor the effects of climate on ecosystems? How can near real-time ecosystem monitoring catalyze threat reduction, governance and regulation compliance, and resource management decisions? How can remote sensing inform configuration of protected area networks at spatial extents relevant to populations of target species and ecosystem services? How can remote sensing-derived products be used to value and monitor changes in ecosystem services? How can remote sensing be used to monitor and evaluate the effectiveness of conservation efforts? How does the expansion and intensification of agriculture and aquaculture alter ecosystems and the services they provide? How can remote sensing be used to determine the degree to which ecosystems are being disturbed or degraded and the effects of these changes on species and ecosystem functions?
File: Rose_etal_ConsBio_2015_0.pdf
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Himalayan forests are undergoing rapid changes due to population growth and economic development and their associated bird communities are among the most threatened and least-studied on earth. In the Chinese Himalaya, traditionally managed Tibetan sacred forests are keystone structures for forest bird conservation. Yet, it remains unclear which fine-scale habitat characteristics of the sacred forests are best associated with Himalayan forest bird species. Our goal here was to quantify the relationship between forest habitat characteristics and bird communities in Tibetan sacred forests to understand habitat associations of common forest birds in the Chinese Himalaya. In 2010 and 2011, we conducted bird point counts and habitat surveys at 62, 50-m radius, sample points distributed within and adjacent to six Tibetan sacred forests in northwest Yunnan, China. From this data, we constructed habitat-occupancy relationship models for 35 bird species and documented tree-use patterns of 14 common arboreal foraging bird species. Our modeling results revealed that large diameter trees and heterogeneity in vertical vegetation structure were the most important habitat characteristics, and were positively associated with occupancy of 63 % of the study bird species. Furthermore, we found that occupancy of eight bird species of conservation concern was related to specific thresholds of forest integrity characteristics. For example, predicted occupancy of three of eight species was high in forested habitats with[15 % bamboo cover and was greatly reduced when bare ground cover exceeded 5 %. We found that bird species foraged on pine (Pinus densata, 58 % more than it was available) and poplar (Populus davidiana, 41 %) in higher proportion to their availability, but that foraging success was highest on fir (Abies spp.), oak (Quercus spp.), willow (Salix spp.) and Chinese Larch (Larix potaninii). Our findings suggest that, although conservation is not a primary management goal of Tibetan sacred forests, these lands harbor critical habitat features for forest breeding birds of the Chinese Himalaya.
File: Wood_etal_2015_Birds_TibetanSacredForests_0.pdf
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Forests are critically important for life on earth, prompting a variety of efforts to protect them. Protected areas and logging regulations are the most commonly used forest conservation strategies, but local traditions and religious beliefs can also protect natural resources by limiting exploitative use. We compared the effectiveness of protected areas, a logging ban, and sacred areas to protect forests from logging in Northwest Yunnan, China, a global biodiversity hotspot. We combined Mahalanobis matching and panel regression techniques to measure effectiveness of these three protection strategies paying special attention to old growth forest communities. We found that protected areas had no impact on total forest cover, but effectively conserved old-growth forests relative to non-protected areas. The implementation of the logging ban resulted in positive forest conservation outcomes over most of the landscape. The exception was that logging in old-growth forests inside sacred areas accelerated following the implementation of the logging ban, suggesting that local institutions may have been weakened by official policies. Our research finds little evidence that overlapping conservation policies decrease deforestation and suggests that the implementation of official policies may displace local forms of protection. Our results further highlight that relying on total forest cover as a single indicator of conservation outcomes can lead to misleading conclusions about the impacts of forest protection strategies.
File: Brandt_etal_BioCons_2015.pdf
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During the Soviet Virgin Lands Campaign, approximately 23 million hectares (Mha) of Eurasian stepp grassland were converted into cropland in Northern Kazakhstan from 1954 to 1963. As a resul Kazakhstan became an important breadbasket of the former Soviet Union. However, the collapse of th Soviet Union in 1991 triggered widespread agricultural abandonment, and much cropland reverted t grasslands. Our goal in this study was to reconstruct and analyze agricultural land-cover change since th eve of the Virgin Lands Campaign,from 1953 to 2010 in Kostanay Province, a region that is representativ of Northern Kazakhstan. Further, we assessed the potential of currently idle cropland for re-cultivation We reconstructed the cropland extent before and after the Virgin Lands Campaign using archival maps and we mapped the agricultural land cover in the late Soviet and post-Soviet period using multi-seasona Landsat TM/ETM+ images from circa 1990, 2000 and 2010. Cropland extent peaked at approximatel 3.1 Mha in our study area in 1990, 38% of which had been converted from grasslands from 1954 to 1961 After the collapse of the Soviet Union, 45% of the Soviet cropland was abandoned and had reverted t grassland by 2000. After 2000, cropland contraction and re-cultivation were balanced. Using spatia logistic regressions we found that cropland expansion during the Virgin Lands Campaign wa significantly associated with favorable agro-environmental conditions. In contrast, cropland expansio after the Campaign until 1990, as well as cropland contraction after 1990, occurred mainly in areas tha were less favorable for agriculture. Cropland re-cultivation after 2000 was occurring on lands wit relatively favorable agro-environmental conditions in comparison to remaining idle croplands, albei with much lower agro-environmental endowment compared to stable croplands from 1990 to 2010. I sum, we found that cropland production potentials of the currently uncultivated areas are much lowe than commonly believed, and further cropland expansion is only possible at the expense of margina lands. Our results suggest if increasing production is a goal, improving crop yields in currently cultivate lands should be a focus, whereas extensive livestock grazing as well as the conservation of nonprovisionin ecosystem services and biodiversity should be priority on more marginal lands.
File: Kraemer_etal_2015_EnvResLet.pdf
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Socioeconomic shocks can shape future landus trajectories. Armed conflicts are an extreme form of socioeconomic shock, but our understanding of how arme conflicts affect land-use change is limited. Our goal was t assess land-use changes related to the 1991–1994 NagornoKarabak conflict between Armenia and Azerbaijan in th Caucasus region. We classified multi-temporal Landsa imagery, mapped land-use changes during and after th conflict, and applied matching statistics to isolate the effec of the conflict from other potential drivers of land change In our study area, local land-use changes were dominate by high farmland abandonment rates of more than 60 % i the conflict zone. Concomitantly, we found a substantia displacement of agricultural activities into nearb Azerbaijani territory ([30 % of all abandoned land in th conflict zone was offset by new agricultural areas o Azerbaijani territory), likely as a consequence of refuge migrations. After the armed conflict ceased, only 17 % o the abandoned fields were re-cultivated, indicating that th land-use system may have transformed profoundly. Ou results showed that an armed conflict can have substantia impact on land use. Spatially, our results indicated tha armed conflicts may cause lasting land-use change in area distant from the actual battlegrounds, representing a example of a distant linkage in land systems, in our cas caused by refugee movements. Temporally, armed conflict appear to be able to cause a transition of the land-use syste into a new state, akin to other drastic socioeconomic shocks.
File: Bauman_etal_2015_RegEnvirCh.pdf
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Economic and social transition periods can have strong negative effects for the environment and for wildlife. The collapse of the Soviet Union in 1991 provides a striking example of social turmoil and transition to a new society. It is unclear, however, how humans affected the environment in the course of the collapse, and if institutions designed to safeguard the environment continued to fulfill their intended role. Our goal was to assess the impact of the collapse of the Soviet Union on forest canopy removal rates in protected areas, and how these rates varied by protected area status and over time. We monitored forest canopy removal within and outside of protected areas using a 1985-2010 time series of Landsat satellite images from the Western Caucasus. On average, we found surprisingly low annual forest canopy removal rates of only 0.03%. The highest canopy removal inside of protected areas of all types occurred after 2000. Among the protected areas, we found the highest canopy removal rates within Sochi National Park, attributable to construction for the Olympic Games and in spite of the Park's protected status. Overall, it is encouraging that forest canopy removal rates in protected areas in the Western Caucasus are far lower than in other Russian regions. Because many local endemic plant and animal species are found in the Caucasus region, clear cuts are prohibited, and this regulation appears to be effective. However, forest canopy removal within protected areas caused by major social and political events such as the Olympic Games is of concern.
File: Bragina_etal_BioCons_2015.pdf
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Detailed knowledge of forest cover dynamics is crucial for many applications fromresource management to ecosystemservice assessments. Landsat data provides the necessary spatial, temporal and spectral detail to map and analyze forest cover and forest change processes. With the opening of the Landsat archive, new opportunities arise to monitor forest dynamics on regional to continental scales. In this study we analyzed changes in forest types, forest disturbances, and forest recovery for the Carpathian ecoregion in Eastern Europe. We generated a series of image composites at five year intervals between 1985 and 2010 and utilized a hybrid analysis strategy consisting of radiometric change classification, post-classification comparison and continuous index- and segment-based post-disturbance recovery assessment. For validation of the disturbance map we used a pointbased accuracy assessment, and assessed the accuracy of our forest type maps using forest inventory data and statistically sampled ground truth data for 2010. Our Carpathian-wide disturbance map achieved an overall accuracy of 86% and the forest type maps up to 73% accuracy.While our results suggested a small net forest increase in the Carpathians, almost 20% of the forests experienced stand-replacing disturbances over the past 25 years. Forest recovery seemed to only partly counterbalance thewidespread natural disturbances and clear-cutting activities. Disturbanceswere mostwidespread during the late 1980s and early 1990s, but someareas also exhibited extensive forest disturbances after 2000, especially in the Polish, Czech and Romanian Carpathians. Considerable shifts in forest composition occurred in the Carpathians, with disturbances increasingly affecting coniferous forests, and a relative decrease in coniferous and mixed forests. Both aspects are likely connected to an increased vulnerability of spruce plantations to pests and pathogens in the Carpathians. Overall, our results exemplify the highly dynamic nature of forest cover during times of socio-economic and institutional change, and highlight the value of the Landsat archive for monitoring these dynamics.
File: Griffith_etal_2014_RSE_0.pdf
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Applications of remote sensing for biodiversity conservation typically rely on image classifications that do not capture variability within coarse land cover classes. Here, we compare two measures derived from unclassified remotely sensed data, a measure of habitat heterogeneity and a measure of habitat composition, for explaining bird species richness and the spatial distribution of 10 species in a semi-arid landscape of New Mexico.We surveyed bird abundance from 1996 to 1998 at 42 plots located in the McGregor Range of Fort Bliss Army Reserve. Normalized Difference Vegetation Index values of two May 1997 Landsat scenes were the basis for among-pixel habitat heterogeneity (image texture), and we used the raw imagery to decompose each pixel into different habitat components (spectral mixture analysis). We used model averaging to relate measures of avian biodiversity to measures of image texture and spectral mixture analysis fractions. Measures of habitat heterogeneity, particularly angular second moment and standard deviation, provide higher explanatory power for bird species richness and the abundance of most species than measures of habitat composition. Using image texture, alone or in combination with other classified imagery-based approaches, for monitoring statuses and trends in biological diversity can greatly improve conservation efforts and habitat management.
File: StLouis_etal_PhilTrns_2014_0.pdf
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