Cooperative Forestry Research Unit Annual Report 2014

Cooperative forestry research unit annual repor

Cooperative Forestry Research Unit Annual Report 2014

Cooperative forestry research unit annual repor

Changes in light levels with loss of eastern hemlock (Tsuga canadensis) at a Southern Appalachian Headwater Stream: Implications for brook trout (Salvelinus fontinalis)

The exotic invasive insect, hemlock woolly adelgid (Adelges tsugae Annand), is causing mortality in eastern hemlocks (Tsuga canadensis [L.] Carr.) throughout the eastern U. S. Hemlocks are being replaced by hardwood species that cannot fill the structural and functional role of hemlock in forest ecosystems. Because hemlocks produce dense shade, their loss may increase understory light levels. In the southern Appalachians, increases in understory light could cause changes in stream ecosystems because riparian hemlocks may help maintain cool stream temperatures for cold water species such as brook trout (Salvelinus fontinalis). I studied changes in light levels with eastern hemlock decline at a southern Appalachian brook trout stream using hemispherical photography and multi-temporal satellite images (ASTER). My results indicate that stream light levels have increased significantly with adelgid infestation. Leaf-on light levels are currently significantly higher (P \u3c 0.02) in plots containing high basal areas of hemlock (mean global site factor (GSF)(SE) = 0.267(0.01)) compared with plots containing no hemlock (mean GSF(SE) = 0.261(0.01)), suggesting that increases in light have occurred with hemlock decline. The Normalized Difference Vegetation Index (NDVI) decreased with hemlock decline from 2001 to 2008. In 2001, NDVI showed no relationship (R2 = 0.003; F = 0.14; P = 0.71) with hemlock basal area, but by 2008, there was a significant negative relationship (R2 = 0.352; F = 19.55; P \u3c 0.001) between NDVI and hemlock basal area. I also conducted a gap experiment that showed that light levels may increase by up to 64.7% more (mean increase in GSF = 27.5%) as hemlocks fall, creating gaps in the canopy. However, by comparing light levels between plots containing hemlock and those containing only hardwood species, I found that if hemlocks are replaced by hardwood species, light levels under an all-hardwood canopy (mean GSF(SE) = 0.240(0.005)) are unlikely to be higher than they are under the current forest (mean GSF(SE) = 0.254(0.007)). These results suggest that loss of hemlock along southern Appalachian streams could have short-term impacts on light levels and stream temperatures, potentially threatening brook trout populations, but that long-term changes in light levels may be unlikely

Eastern Spotted Skunk Occupancy and Rest Site Selection in Hardwood Forests of the Southern Appalachians

Eastern spotted skunks are a poorly understood mesocarnivore species that suffered a dramatic range-wide decline in the mid-1900s. Little is known about their current distribution or habitat needs, and in the southern Appalachians, where the Carolinas and Georgia converge spotted skunks have never been studied. We investigated eastern spotted skunk habitat selection to develop an understanding of their habitat and conservation needs in this region. We used remote-camera surveys and occupancy modelling to evaluate factors hypothesized to influence the probability of eastern spotted skunk detection and occurrence at the landscape scale. We detected spotted skunks at 55.6% of our sites and on 18.5% of sampling occasions. Our detection models supported predation risk, camera setup, and scent-based attractants as influential to detection probability but had poor predictive ability overall. Our top occupancy model had moderate predictive power and showed a negative relationship between elevation and occupancy probability. These results suggest spotted skunks in the southern Appalachians may be more widely distributed than previously thought but are also highly cryptic and in need of further investigation. In particular, there is a strong need for researchers to identify thresholds of habitat suitability for this species. To evaluate fine-scale selection of rest site habitat by eastern spotted skunks we used VHF telemetry and discrete choice modelling. Over two summers we tracked 15 spotted skunks and collected habitat data for 233 rest sites and 233 random available sites. Our top model supported positive effects of understory cover and coarse woody debris (CWD), and a negative effect of distance to nearest drainage channel on rest site selection. Previous studies have identified understory cover as important for protection from avian predators, however ours is the first to identify CWD and drainage channels as important to spotted skunk habitat selection. These attributes were hypothesized to be selected based on prey availability, however direct studies of spotted skunk diet and foraging strategies are needed. We also recommend further investigation regarding the importance of drainage networks to eastern spotted skunks. Finally, we suggest that preservation of understory vegetation and CWD may benefit eastern spotted skunk conservation in the southern Appalachians

Landscape-scale prediction of forest productivity by hyperspectral remote sensing of canopy nitrogen

Foliar nitrogen concentration represents a direct and primary link between carbon and nitrogen cycling in terrestrial ecosystems. Although foliar N is used by many ecosystem models to predict leaf-level photosynthetic rates, it has rarely been examined as a direct scalar to stand-level carbon gain. Significant improvements in remote sensing detector technology in the list decade now allow for improved landscape-level estimation of the biochemical attributes of forest ecosystems. In this study, relationships among forest growth (aboveground net primary productivity (ANPP) and aboveground woody biomass production (AWBP)), canopy chemistry and structure, and high resolution imaging spectrometry were examined for 88 long-term forest growth inventory plots maintained by the USDA Forest Service within the 300,000 ha White Mountain National Forest, New Hampshire. Analysis of plot-level data demonstrates a highly predictive relationship between whole canopy nitrogen concentration (g/100 g) and aboveground forest productivity (ANPP: R2 = 0.81, p \u3c 0.000; AWBP: R 2 = 0.86, p \u3c 0.000) within and among forest types. Forest productivity was more strongly related to mass-based foliar nitrogen concentration than with either total canopy N or canopy leaf area. Empirical relationships were developed among spectral data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and field-measured canopy nitrogen concentration (mass basis). Results of this analysis suggest that hyperspectral remote sensing can be used to accurately predict foliar nitrogen concentration, by mean of a full-spectrum partial least squares calibration method, both within a single scene (R2 = 0.84, SECV = 0.23) and across a large number of contiguous images (R2 = 82, SECV = 0.25), as well as between image dates (R2 = 0.69, SECV = 0.25). Forest productivity coverages for the White Mountain National Forest were developed by estimating whole canopy foliar N concentration from AVIRIS spectral response. Image spatial patterns broadly reflect the distribution of functional types, while fine scale spatial variation results from a variety of natural and anthropogenic factors. This approach provides the potential to increase the accuracy of forest growth and carbon gain estimates at the landscape level by providing information at the fine spatial scale over which environmental characteristics and human land use vary

Spatial distribution of forest aboveground biomass estimated from remote sensing and forest inventory data in New England, USA.

Abstract We combined satellite (Landsat 7 and Moderate Resolution Imaging Spectrometer) and U.S. Department of Agriculture forest inventory and analysis (FIA) data to estimate forest aboveground biomass (AGB) across New England, USA. This is practical for large-scale carbon studies and may reduce uncertainty of AGB estimates. We estimate that total regional forest AGB was 1,867 teragram (1012, dry weight) in 2001, with a mean AGB density of 120 Mg/ha (Standard deviation = 54 Mg/ha) ranging from 15 to 240 Mg/ha within a 95% percentile. The majority of regional AGB density was in the range of 80 to 160 Mg/ha (58.2%). High AGB densities were observed along the Appalachian Mountains from northwestern Connecticut to the Green Mountains in Vermont and White Mountains in New Hampshire, while low AGB densities were concentrated in the Downeast area of Maine (ME) and the Cape Cod area of Massachusetts (MA). At the state level, the averaged difference in mean AGB densities between simulated and FIA (as reference) was -2.0% ranging from 0% to -4.2% with a standard error of 3.2%. Within the 95% confidence interval the differences between FIA and simulated AGB densities ranged from 0 to 6% (absolute value). Our study may provide useful information for regional fuel-loading estimates

Spatializing the Soil-Ecological Factorial: Data Driven Integrated Land Management Tools

Soils form the dynamic interface of many processes key to the function of terrestrial ecosystems. Many soil properties both influence and are influenced by activity of flora and fauna. Interactions between soils, biota, and climate determine the potential ecosystem services that a given unique ecological site (ES) can support, and how resilient a site is to various pressures and disturbances. Soil data are needed to fully understand how these factors interact, but because this data is difficult to obtain, existing soil maps are sometimes not detailed enough to fully explore relationships. Environmental raster GIS data layers were used to increase the detail of maps by representing soil forming factors and associated ecological pedomemory legacies important to understanding ecological potential. This dissertation presents methods and tools to help create these new soil maps at appropriate resolution and theme for field scale assessment of ecological sites that enable land managers to plan and implement appropriate management decisions.;USDA-NRCS soil surveys were disaggregated to higher resolution maps using a semi-automated expert training routine to implement a random forest classification model. This transformed soil map polygons of variable thematic and spatial resolution (soil map unit concepts) to a consistent 30-meter raster grid of unified theme (soil taxa). Disaggregated maps (DM) showed highly variable accuracy (25--75% overall validation accuracy) that mirrored that of the original soil surveys evaluated in Arizona (AZ) and West Virginia (WV). However, disaggregated maps expressed the soil data at a much more detailed spatial scale with a more interpretable legend. The WV surveys exhibited much lower accuracy than the AZ survey evaluated. This lower accuracy in WV is likely due to the forested setting and highly dissected landscape, two factors that create more intrinsic soil variability that is harder to explain with spatial covariates.;Ecological site descriptions (ESD) document soil-ecosystem groups that produce unique amounts and types of biological constituents and respond similarly to disturbance and environmental variation. ESD are linked to soil map unit components in USDA-NRCS soil surveys and are used as the basis for land management planning on rangelands and forestlands. The component level connection makes DM a good way to spatialize ESD because both are spatially represented at the same thematic level, whereas conventional soil maps have polygons that often have multiple components linked to a delineation.;However, in the evaluation of mapping ESD via DM, the DM turned out not to document the key difference in spodic soil properties that distinguished the important ecotone between northern hardwood and alpine red spruce conifer ESDs in Pocahontas and Randolph counties, WV. So, to adjust, spodic soil properties were mapped directly using digital soil mapping approaches. A strong spatial model of spodic soil morphology presence was developed from a random forest probability model and showed correspondence to red spruce and hemlock occurrences in local historic land deed witness trees from records between 1752 and 1899. From this result, areas with spodic soil properties were assumed to be associated with historic red spruce communities, although 68% of those areas in the WV study area are currently under hardwood cover. This would seem to indicate that hardwoods have encroached on the historic extent of spruce, which is consistent with other recent studies. O-horizon thickness was also observed to be one cm thicker for every 10% greater importance value of red spruce or hemlock versus that of hardwood species at field sites. From these observations, it was calculated conservatively that at least 3.74-6.62 Tg of C have likely been lost from red spruce influenced ecological sites in WV due to historic disturbance related conversions of forest to hardwood composition. These results highlight the value of working within a soil-ecological factorial framework (e.g. an ESD) to contextualize land management options and potential derived services or negative consequences of each available action

Lower Scotts Creek Floodplain and Habitat Enhancement Project

Scotts Creek, located in northern Santa Cruz County, maintains the southernmost persistent population of Central California Coast (CCC) Coho Salmon (endangered) in addition to CCC steelhead (threatened). Fisheries biologists believe overwinter mortality due to lack of refuge habitat is the primary factor limiting salmonid production. Instream rearing habitat may also be limiting, especially during drought years. The legacy effects of historic land use practices, including dredging, wood removal, and the construction of levees, continued to limit refuge and rearing opportunities. A restoration project was implemented to improve refuge and rearing opportunities for salmonids along lower Scotts Creek by removing portions of the deteriorating levee, grading new connections with existing off-channel features, enhancing tributary confluences, constructing alcove habitat features at the margins of the stream channel, and constructing large wood complexes (LWCs) instream. Novel restoration techniques were employed on an experimental basis. Whole in-situ alder trees were pushed into the stream channel with their root systems left partially intact to establish living key pieces. Individual log, boulder, and rootwad LWC components were attached together with couplers that permitted some freedom of independent movement among the individual components. LWCs were braced against live, standing trees and stabilized with boulder ballasts placed on the streambed, which eliminated excavation of the streambed/banks and the need to dewater or divert the stream during construction. Project performance, changes to physical habitat characteristics, and changes to stream morphology associated with implementation were monitored using habitat assessment methods derived from the California Department of Fish and Wildlife’s (CDFW) salmonid habitat survey protocol (Flosi et al. 2010), and topographic survey techniques and data analysis adapted from Columbia Habitat Monitoring Protocol (Bouwes et al. 2011). Preliminary results indicated that LWCs remained stable and functional. In addition, implementation of the restoration project increased pool frequency, low-flow pool volume, instream cover, frequency of instream, alcove, and off-channel refuge habitat features, and frequency of points of connectivity with the floodplain. Long-term monitoring will be required to determine the survivorship, decay rates, and overall persistence of alder recruits

Caractérisation spatio-temporelle de la dynamique des trouées et de la réponse de la forêt boréale à l'aide de données lidar multi-temporelles

La forêt boréale est un écosystème hétérogène et dynamique façonné par les perturbations naturelles comme les feux, les épidémies d'insectes, le vent et la régénération. La dynamique des trouées joue un rôle important dans la dynamique forestière parce qu'elle influence le recrutement de nouveaux individus au sein de la canopée et la croissance de la végétation avoisinante par une augmentation des ressources. Bien que l'importance des trouées en forêt boréale fut reconnue, les connaissances nécessaires à la compréhension des relations entre le régime de trouées et la dynamique forestière, en particulier sur la croissance, sont souvent manquantes. Il est difficile d'observer et de mesurer extensivement la dynamique des trouées ou les changements de la canopée simultanément dans le temps et l'espace avec des données terrain ou des images bidimensionnelles (photos aériennes,...) et ce particulièrement dans des systèmes complexes comme les forêts ouvertes ou morcelées. De plus, la plupart des recherches furent menées en s'appuyant sur seulement quelques trouées représentatives bien que les interactions entre les trouées et la structure forestière furent rarement étudiées de manière conjointe. Le lidar est un système qui balaye la surface terrestre avec des faisceaux laser permettant d'obtenir une image dense de points en trois dimensions montrant les aspects structuraux de la végétation et de la topographie sous-jacente d'une grande superficie. Nous avons formulé l'hypothèse que lorsque les retours lidar de tirs quasi-verticaux sont denses et précis, ils permettent une interprétation de la géométrie des trouées et la comparaison de celles-ci dans le temps, ce qui nous informe à propos de leur influence sur la dynamique forestière. De plus, les mesures linéaires prises à différents moments dans le temps permettraient de donner une estimation fiable de la croissance. Ainsi, l'objectif de cette recherche doctorale était de développer des méthodes et d'accroître nos connaissances sur le régime de trouées et sa dynamique, et de déterminer comment la forêt boréale mixte répond à ces perturbations en termes de croissance et de mortalité à l'échelle locale. Un autre objectif était aussi de comprendre le rôle à court terme des ouvertures de la canopée dans un peuplement et la dynamique successionelle. Ces processus écologiques furent étudiés en reconstituant la hauteur de la surface de la canopée de la forêt boréale par l'utilisation de données lidar prises. en 1998, 2003 (et 2007), mais sans spécifications d'études similaires. L'aire d'étude de 6 km² dans la Forêt d'Enseignement et de Recherche du Lac Duparquet, Québec, Canada, était suffisamment grande pour capter la variabilité de la structure de la canopée et de la réponse de la forêt à travers une gamme de peuplements à différents stades de développement. Les recherches menées lors de cette étude ont révélé que les données lidar multi-temporelles peuvent être utilisées a priori dans toute étude de télédétection des changements, dont l'optimisation de la résolution des matrices et le choix de l'interpolation des algorithmes sont essentiels (pour les surfaces végétales et terrestres) afin d'obtenir des limites précises des trouées. Nous avons trouvé qu'une technique basée sur la croissance de régions appliquée à une surface lidar peut être utilisée pour délimiter les trouées avec une géométrie précise et pour éliminer les espaces entre les arbres représentant de fausses trouées. La comparaison de trouées avec leur délimitation Iidar le long de transects linéaires de 980 mètres montre une forte correspondance de 96,5%. Le lidar a été utilisé avec succès pour délimiter des trouées simples (un seul arbre) ou multiples (plus de 5 m²). En utilisant la combinaison de séries temporelles de trouées dérivées du lidar, nous avons développé des méthodes afin de délimiter les divers types d'évènements de dynamique des trouées: l'occurrence aléatoire de trouées, l'expansion de trouées et la fermeture de trouées, tant par la croissance latérale que la régénération. La technique proposée pour identifier les hauteurs variées arbre/gaulis sur une image lidar d'un Modèle de Hauteur de Couvert (MHC) a montré près de 75 % de correspondance avec les localisations photogrammétriques. Les taux de croissance libre suggérés basés sur les donnés lidar brutes après l'élimination des sources possibles d'erreur furent utilisés subséquemment pour des techniques statistiques afin de quantifier les réponses de croissance en hauteur qui ont été trouvées afin de faire varier la localisation spatiale en respect de la bordure de la trouée. À partir de la combinaison de donnés de plusieurs groupes d'espèces (de conifères et décidues) interprétée à partir d'images à haute résolution avec des données structurales lidar nous avons estimé les patrons de croissance en hauteur des différents groupes arbres/gaulis pour plusieurs contextes de voisinage. Les résultats on montré que la forêt boréale mixte autour du lac Duparquet est un système hautement dynamique, où la perturbation de la canopée joue un rôle important même pour une courte période de temps. La nouvelle estimation du taux de formation des trouées était de 0,6 %, ce qui correspond à une rotation de 182 ans pour cette forêt. Les résultats ont montré aussi que les arbres en périphérie des trouées étaient plus vulnérables à la mortalité que ceux à l'intérieur du couvert, résultant en un élargissement de la trouée. Nos résultats confirment que tant la croissance latérale que la croissance en hauteur de la régénération contribuent à la fermeture de la canopée à un taux annuel de 1,2 %. Des évidences ont aussi montré que les trouées de conifères et de feuillus ont des croissances latérales (moyenne de 22 cm/an) et verticales similaires sans tenir compte de leur localisation et leur hauteur initiale. La croissance en hauteur de tous les gaulis était fortement positive selon le type d'évènement et la superficie de la trouée. Les résultats suggèrent que la croissance des gaulis de conifères et de feuillus atteint son taux de croissance maximal à des distances respectives se situant entre 0,5 et 2 m et 1,5 et 4 m à partir de la bordure d'une trouée et pour des ouvertures de moins de 800 m² et 250 m² respectivement. Les effets des trouées sur la croissance en hauteur d'une forêt intacte se faisaient sentir à des distance allant jusqu'à à 30 m et 20 m des trouées, respectivement pour les feuillus et les conifères. Des analyses fines de l'ouverture de la canopée montrent que les peuplements à différents stades de développement sont hautement dynamiques et ne peuvent systématiquement suivre les mêmes patrons successionels. Globalement, la forêt est presqu'à l'équilibre compositionnel avec une faible augmentation de feuillus, principalement dû à la régénération de type infilling plutôt qu'une transition successionelle de conifères tolérants à l'ombre. Les trouées sont importantes pour le maintien des feuillus puisque le remplacement en sous-couvert est vital pour certains résineux. L'étude à démontré également que la dernière épidémie de tordeuse des bourgeons de l'épinette qui s'est terminée il y a 16 ans continue d'affecter de vieux peuplements résineux qui présentent toujours un haut taux de mortalité. Les résultats obtenus démontrent que lidar est un excellent outil pour acquérir des détails rapidement sur les dynamiques spatialement extensives et à court terme des trouées de structures complexes en forêt boréale. Les évidences de cette recherche peuvent servir tant à l'écologie, la sylviculture, l'aménagement forestier et aux spécialistes lidar. Ces idées ajoutent une nouvelle dimension à notre compréhension du rôle des petites perturbations et auront une implication directe pour les aménagistes forestiers en quête d'un aménagement forestier écologique et du maintien des forêts mixtes. ______________________________________________________________________________ MOTS-CLÉS DE L’AUTEUR : Perturbation naturelle, Dynamique forestière, Dynamique des trouées, Croissances latérales, Régénération, Succession, Lidar à retours discrets, Grande superficie, Localisation des arbres individuels, Croissance en hauteur

The 2008 Terrestrial Vegetation of Biscayne National Park FL, USA Derived From Aerial Photography, NDVI, and LiDAR

Established as a National Park in 1980, Biscayne National Park (BISC) comprises an area of nearly 700 km2 , of which most is under water. The terrestrial portions of BISC include a coastal strip on the south Florida mainland and a set of Key Largo limestone barrier islands which parallel the mainland several kilometers offshore and define the eastern rim of Biscayne Bay. The upland vegetation component of BISC is embedded within an extensive coastal wetland network, including an archipelago of 42 mangrove-dominated islands with extensive areas of tropical hardwood forests or hammocks. Several databases and vegetation maps describe these terrestrial communities. However, these sources are, for the most part, outdated, incomplete, incompatible, or/and inaccurate. For example, the current, Welch et al. (1999), vegetation map of BISC is nearly 10 years old and represents the conditions of Biscayne National Park shortly after Hurricane Andrew (August 24, 1992). As a result, a new terrestrial vegetation map was commissioned by The National Park Service Inventory and Monitoring Program South Florida / Caribbean Network