Identification of limiting climatic and geographical variables for the distribution of the tortoise Chelonoidis chilensis (Testudinidae): a baseline for conservation actions

Background. Just as for most other tortoise species, the once common Chaco tortoise, Chelonoidis chilensis (Testudinidae), is under constant threat across it distribution in Argentina, Bolivia and Paraguay. Despite initial qualitative description of the species distribution and further individual reports of new locations for the species, there is no description of the species distribution in probabilistic terms. With this work we aim to produce an updated predictive distribution map for C. chilensis to serve as a baseline management tool for directed strategic conservation planning.Methods. We fitted a spatially expanded logistic regression model within the Bayesian framework that accounts for uncertainty on presence-only and generated pseudo-absence data into the parameter estimates. We contrast the results with reported data for the national networks of protected areas to assess the inclusion of the species in area-based conservation strategies.Results. We obtained maps with predictions of the occurrence of the species and reported the model's uncertainty spatially. The model suggests that potential suitable habitats for the species are continuous across Argentina, West Paraguay and South Bolivia, considering the variables, the scale and the resolution used. The main limiting variables were temperature-related variables, and precipitation in the reproductive period.Discussion. Given the alarming low density and coverage of protected areas over the distribution area of C. chilensis, the map produced provides a baseline to identify areas where directed strategic conservation management actions would be more efficient for this and other associated species

Övervakning av värdefulla skogsbiotoper

Mellan åren 2009-2011 genomfördes de första återinventeringarna av de 19 nyckelbiotoper, 17 naturreservat och fyra äldre produktionsskogar i Dalarna och Gävleborgs län som inventerades tio år tidigare 1998-2002 inom övervakningsprogrammet " Resultaten visade att mängden substrat, antalet förekomster av indikatorarter och enskilda arter varierar mer än vad som kan förväntas av slumpen mellan olika grupper av inventeringsobjekt. Reservaten var generellt mer strukturellt mångfaldiga och artrika än produktionsbestånden, med mer lövträd, död ved av olika slag och fynd av indikatorarter per hektar. Nyckelbiotoper intog en mellanposition och hade lägre volym av död ved per hektar än naturreservaten. Medelfrekvensen indikatorarter och vanliga vedsvampar var i genomsnitt högre per hektar i naturreservat jämfört med nyckelbiotoper. Lägre medelfrekvenser av vanliga vedsvampar i nyckelbiotoperna kunde till stor del förklaras av en högre frekvens av fnöskticka Ingen förändring kunde statistiskt säkerställas för någon av de studerade skogliga variablerna, artgrupperna elExtensiv övervakning av biotopers innehåll med inriktning mot biologisk mångfald" (Extensivmetoden). De två länen beslöt då att utvärdera metodens effektivitet för att följa upp förändringar för skogliga variabler och indikatorarter efter tio år. I den här rapporten redovisas tillståndet vid återinventeringarna 2009- 2011 samt metodens effektivitet för övervakning och uppföljning av biologisk mångfald i dessa naturreservat, nyckelbiotoper och produktionsbestånd. Den ursprungliga tanken med Extensivmetoden är att inventeringarna ska upprepas vart tionde år för en viss grupp av objekt. Syftet här har varit att svara på (1) vilka förändringar som har skett för enskilda objekt samt en viss grupp av objekt för olika skogliga variabler, indikatorarter och vanliga vedsvampar, (2) hur små/stora genomsnittliga förändringar som kan avläsas med statistisk signifikans för enskilda objekt och en grupp av objekt och (3) vilka förändringar som har skett under 10-årsperioden i de skyddade områdena respektive nyckelbiotoperna jämfört med de äldre produktionsbestånden och "vanlig" skogsmark baserat på riksskogstaxeringens data? F. fomentarius i reservaten. Ingen förändring kunde statistiskt säkerställas för någon av de studerade skogliga variablerna, artgrupperna eller eller arterna i reservaten eller nyckelbiotoperna efter 10 år. Artrikedomen av indikatorarter förblev också opåverkad över tidsperioden. Detta betyder att både skyddade naturreservat och frivilligt avsatta nyckelbiotoper hade upprätthållit en mångfald av skogliga strukturer och arter under den angivna tidsperioden. Den här rapporten är därmed den första empiriska studien som visar att artrikedomen och frekvensen av skogliga indikatorarter och vanliga vedsvampar var oförändrad över tid inom både reservat och nyckelbiotoper. Det är dock viktigt att komma ihåg att styrkeanalyserna påvisade att storleken på förändringarna som kunde påvisas med en god statistisk styrka på ca 80 % varierade för den undersökta variabeln och objektkategorin. Ett urval av 17 naturreservat var tillräckligt för att upptäcka relevanta förändringar på 25-35 % (motsvarande rödlistkategorin sårbar) av den ursprungliga genomsnittliga frekvensen av indikatorarter och vanliga vedsvampar, samt individuellt vanliga svampar som fnöskticka och klibbticka, med 80 % statistisk styrka. Den statistiska styrkan för att upptäcka liknande förändringar från ett urval av 19 nyckelbiotoper var endast 20-40 %. Extensivmetoden hade en sämre precision och styrka för att följa upp förändringar för enskilda arter, speciellt för hänglavar i cirkelprovytor och mer ovanliga arter i bältessegment. Vår bedömning är att Extensivmetoden skulle kunna få en betydande roll för miljöövervakning av värdefulla skogsbiotoper i Sverige. Upprepbarhetenär god och det finns i dagsläget väldigt få etablerade miljöövervakningsprogram i skyddsvärda skogar där upprepbarheten har utvärderats på ett liknande långsiktigt sätt. Bristen på långsiktiga övervakningsdata gör det svårt att bedöma Extensivmetodens effektivitet och betydelse i förhållande till annan miljöövervakning. En samordnad och jämförbar nationell och regional långsiktig miljöövervakning av miljökänsliga och viktiga artgrupper som lövträdslevande epifyter och vedlevande svampar saknas för olika skogsbiotoper, men är av stor betydelse för förståelsen av dessa biotopers naturvårdsnytta under framtida skötsel, förvaltning och klimat

Explaining Spatial Variation in the Recording Effort of Citizen Science Data across Multiple Taxa

The collation of citizen science data in open-access biodiversity databases makes temporally and spatially extensive species’ observation data available to a wide range of users. Such data are an invaluable resource but contain inherent limitations, such as sampling bias in favour of recorder distribution, lack of survey effort assessment, and lack of coverage of the distribution of all organisms. Any technical assessment, monitoring program or scientific research applying citizen science data should therefore include an evaluation of the uncertainty of its results. We use ‘ignorance’ scores, i.e. spatially explicit indices of sampling bias across a study region, to further understand spatial patterns of observation behaviour for 13 reference taxonomic groups. The data is based on voluntary observations made in Sweden between 2000 and 2014. We compared the effect of six geographical variables (elevation, steepness, population density, log population density, road density and footpath density) on the ignorance scores of each group. We found substantial variation among taxonomic groups in the relative importance of different geographic variables for explaining ignorance scores. In general, road access and logged population density were consistently important variables explaining bias in sampling effort, indicating that access at a landscape-scale facilitates voluntary reporting by citizen scientists. Also, small increases in population density can produce a substantial reduction in ignorance score. However the between-taxa variation in the importance of geographic variables for explaining ignorance scores demonstrated that different taxa suffer from different spatial biases. We suggest that conservationists and researchers should use ignorance scores to acknowledge uncertainty in their analyses and conclusions, because they may simultaneously include many correlated variables that are difficult to disentangle

Modeling heat stress under organic dairy farming conditions in warm temperate climates within the Mediterranean basin

We studied the effect of heat stress on milk quality in Spanish organic dairy farms using published milk productivity equations. We collected data from 23 weather stations and 14,424 milk test-days for milk yield and milk fat and protein content for the period July 2011 to June 2013. As an indicator of heat stress, we used the maximum daily temperature–humidity index (THI) from 2 days before the milk test date. We fitted the data using hierarchical regression models stratified by farm, cow parity and monthly testday milk records. The effect of THI was deemed low on biological costs through milk yield. However, the known negative relationship between milk yield and milk quality (protein and fat content) became even steeper when the THI increased, suggesting a significant negative correlation between heat stress and milk quality. Therefore, although the milk yield of cows in the organic farming systems analyzed appeared resilient to heat stress conditions, milk quality, a major selling point for organic dairy products, was negatively affected. The model presented here could be used to predict the potential impacts of different climate change scenarios on dairy farming, and to delineate adaptation strategies within organic systems.info:eu-repo/semantics/publishedVersio

Cannot see the diversity for all the species: Evaluating inclusion criteria for local species lists when using abundant citizen science data

Abundant citizen science data on species occurrences are becoming increasingly available and enable identifying composition of communities occurring at multiple sites with high temporal resolution. However, for species displaying temporary patterns of local occurrences that are transient to some sites, biodiversity measures are clearly dependent on the criteria used to include species into local species lists. Using abundant opportunistic citizen science data from frequently visited wetlands, we investigated the sensitivity of alpha- and beta-diversity estimates to the use raw versus detection-corrected data and to the use of inclusion criteria for species presence reflecting alternative site use. We tested seven inclusion criteria (with varying number of days required to be present) on time series of daily occurrence status during a breeding season of 90 days for 77 wetland bird species. We show that even when opportunistic presence-only observation data are abundant, raw data may not produce reliable local species richness estimates and rank sites very differently in terms of species richness. Furthermore, occupancy model based alpha- and beta-diversity estimates were sensitive to the inclusion criteria used. Total species lists (all species observed at least once during a season) may therefore mask diversity differences among sites in local communities of species, by including vagrant species on potentially breeding communities and change the relative rank order of sites in terms of species richness. Very high sampling effort does not necessarily free opportunistic data from its inherent bias and can produce a pattern in which many species are observed at least once almost everywhere, thus leading to a possible paradox: The large amount of biological information may hinder its usefulness. Therefore, when prioritizing among sites to manage or preserve species diversity estimates need to be carefully related to relevant inclusion criteria depending on the diversity estimate in focus

Modeling heat stress under organic dairy farming conditions in warm temperate climates within the Mediterranean basin

We studied the effect of heat stress on milk quality in Spanish organic dairy farms using published milk productivity equations. We collected data from 23 weather stations and 14,424 milk test-days for milk yield and milk fat and protein content for the period July 2011 to June 2013. As an indicator of heat stress, we used the maximum daily temperature–humidity index (THI) from 2 days before the milk test date. We fitted the data using hierarchical regression models stratified by farm, cow parity and monthly testday milk records. The effect of THI was deemed low on biological costs through milk yield. However, the known negative relationship between milk yield and milk quality (protein and fat content) became even steeper when the THI increased, suggesting a significant negative correlation between heat stress and milk quality. Therefore, although the milk yield of cows in the organic farming systems analyzed appeared resilient to heat stress conditions, milk quality, a major selling point for organic dairy products, was negatively affected. The model presented here could be used to predict the potential impacts of different climate change scenarios on dairy farming, and to delineate adaptation strategies within organic systems.info:eu-repo/semantics/publishedVersio

Hybrid bioacoustic and ecoacoustic analyses provide new links between bird assemblages and habitat quality in a winter boreal forest

Resident birds in boreal forests can serve as indicators of habitat quality and are often species of conservation interest, particularly in multifunctional forests also used for timber production. To make informed forest management decisions, we must first understand which structural features provide habitats useful for resident birds. This is particularly true in winter, an understudied and critical season for their survival. The objective of this study was to establish reliable methods for monitoring bird presence and activity during winter, and to use these methods to evaluate the relative importance of stand structural features to make inferences about which features support and increase winter survival potential. Using a hybrid bioacoustic and ecoacoustic approach, we tested the ability of acoustic recordings to identify links between bird diversity and components of structural complexity, and compared these results to those from the traditional point count method. We conducted a vegetation survey, point count surveys and collected acoustic recordings from December 2019–February 2020 in 19 sites in a Swedish boreal forest. First, we compared species richness values derived from point counts and bioacoustic monitoring methods. Bioacoustic species richness was significantly higher than point count richness, although only when the time spent identifying species from recordings exceeded the time spent conducting point counts in the field. Next, we demonstrated that bioacoustic species identification yields additional metrics of bird activity that point counts cannot. We tested the response of these metrics, and point count metrics, to variables of structural heterogeneity and complexity of our sites. Almost all bioacoustic metrics increased significantly with increasing structural complexity, while point count richness and abundance did not, indicating that automated recording is more effective in identifying forest patches of high quality in winter. Lastly, using an ecoacoustic approach, we calculated six of the most common acoustic indices and tested if any could effectively reflect the bird-structure relationships described above. Two indices showed significant positive relationships to bioacoustic metrics, demonstrating their potential as biodiversity assessment proxies that respond to differences in habitat quality. This is the first winter acoustic study to monitor bird assemblages in detail; it employed both bioacoustic and multi-index ecoacoustic approaches, which provided evidence that automated acoustic recording can be an effective and superior method for monitoring resident forest birds

Testicular length as an indicator of the onset of sperm production in alpacas under Swedish conditions

Background: The popularity of alpacas (Vicugna pacos) is increasing in Sweden as well as in other countries; however, knowledge about optimal management practices under Swedish conditions is still limited. The wide age range reported when the onset of puberty can occur, between 1 and 3years of age, makes management decisions difficult and may be influenced by the conditions under which the alpacas are kept. The aim of this study was to find out when Swedish alpacas can be expected to start producing sperm, by using testicular length and body condition score as a more precise indirect indicator than age. Results: This study suggests that animals with a testicular length ≥3.8cm would be producing sperm; however, if it is crucial to know that there is no sperm production for management purposes, the threshold level for testicular length used to differentiate between sperm-producing and non-sperm producing animals should be ≤1.6cm instead. If only one variable is considered, testicular length appears to better than age alone to predict sperm production. Body condition score together with testicular length explains the individual onset of puberty and better guide management recommendations. Conclusions: Using a combination of these parameters (testicular length, body condition score and age) as a tool for decision making for alpaca husbandry under Swedish conditions is suggested

Protection gaps and restoration opportunities for primary forests in Europe

Aims: Primary forests are critical for forest biodiversity and provide key ecosystem services. In Europe, these forests are particularly scarce and it is unclear whether they are sufficiently protected. Here we aim to: (a) understand whether extant primary forests are representative of the range of naturally occurring forest types, (b) identify forest types which host enough primary forest under strict protection to meet conservation targets and (c) highlight areas where restoration is needed and feasible. Location: Europe. Methods: We combined a unique geodatabase of primary forests with maps of forest cover, potential natural vegetation, biogeographic regions and protected areas to quantify the proportion of extant primary forest across Europe\u27s forest types and to identify gaps in protection. Using spatial predictions of primary forest locations to account for underreporting of primary forests, we then highlighted areas where restoration could complement protection. Results: We found a substantial bias in primary forest distribution across forest types. Of the 54 forest types we assessed, six had no primary forest at all, and in two-thirds of forest types, less than 1% of forest was primary. Even if generally protected, only ten forest types had more than half of their primary forests strictly protected. Protecting all documented primary forests requires expanding the protected area networks by 1,132 km2 (19,194 km2 when including also predicted primary forests). Encouragingly, large areas of non-primary forest existed inside protected areas for most types, thus presenting restoration opportunities. Main conclusion: Europe\u27s primary forests are in a perilous state, as also acknowledged by EU\u27s “Biodiversity Strategy for 2030.” Yet, there are considerable opportunities for ensuring better protection and restoring primary forest structure, composition and functioning, at least partially. We advocate integrated policy reforms that explicitly account for the irreplaceable nature of primary forests and ramp up protection and restoration efforts alike