Species–area (SAR) and endemics–area (EAR) relationships are amongst the most common methods used to forecast species loss resulting from habitat loss. One critical, albeit often ignored, limitation of these area-based estimates is their disregard of the ecological context that shapes species distributions. In this study, we estimate species loss using a spatially explicit mechanistic simulation model to evaluate three important aspects of ecological context: coexistence mechanisms (e.g. species sorting, competition–colonization tradeoffs and neutral dynamics), spatial distribution of environmental conditions, and spatial pattern of habitat loss. We found that 1) area-based estimates of extinctions are sensitive to coexistence mechanisms as well as to the pattern of environmental heterogeneity; 2) there is a strong interaction between coexistence mechanisms and the pattern of habitat loss; 3) SARs always yield higher estimates of species loss than do EARs; and 4) SARs and EARs consistently underestimate the realized species loss. Our results highlight the need to integrate ecological mechanisms in area-estimates of species loss.
Shared posts
Estimates of species extinctions from species–area relationships strongly depend on ecological context
Biological legacies buffer local species extinction after logging
Summary
- Clearcutting has been identified as a main threat to forest biodiversity. In the last few decades, alternatives to clearcutting have gained much interest. Living and dead trees are often retained after harvest to serve as structural legacies to mitigate negative effects of forestry. However, this practice is widely employed without information from systematic before–after control-impact studies to assess the processes involved in species responses after clearcutting with retention.
- We performed a large-scale survey of the occurrence of logging-sensitive and red-listed bryophytes and lichens before and after clearcutting with the retention approach. A methodology was adopted that, for the first time in studies on retention approaches, enabled monitoring of location-specific substrates. We used uncut stands as controls to assess the variables affecting the survival of species after a major disturbance.
- In total, 12 bryophyte species and 27 lichen species were analysed. All were classified as sensitive to logging, and most species are also currently red-listed. We found that living and dead trees retained after final harvest acted as refugia in which logging-sensitive species were able to survive for 3 to 7 years after logging. Depending on type of retention and organism group, between 35% and 92% of the species occurrences persisted on retained structures. Most species observed outside retention trees or patches disappeared.
- Larger pre-harvest population sizes of bryophytes on dead wood increased the survival probability of the species and hence buffered the negative effects of logging.
- Synthesis and applications. Careful spatial planning of retention structures is required to fully embrace the habitats of logging-sensitive species. Bryophytes and lichens persisted to a higher degree in retention patches compared to solitary trees or in the clearcut area. Retaining groups of trees in logged areas will help to sustain populations of species over the clearcut phase. When possible, old logs should be moved into retention patches to provide a more beneficial environment for dead wood-dependent species. Our study also highlights the need for more before–after control-impact studies of retention forestry to explore factors influencing the survival of species after logging.
Cognitive Ecology of Food Hoarding: The Evolution of Spatial Memory and the Hippocampus
Community and Ecosystem Responses to Elevational Gradients: Processes, Mechanisms, and Insights for Global Change
How Was the Australian Flora Assembled Over the Last 65 Million Years? A Molecular Phylogenetic Perspective
Can climate explain interannual local extinctions among bird species?
Abstract
Aim
Geographical variations in species richness are strongly related to temperature and precipitation. On ecological time-scales, these variations in species richness should reflect rates of immigration and local extinction (extirpation). Here we ask whether the probability of local extinction in passerine birds covaries with climate. Specifically, we test whether local extinctions increase with climatic harshness or with the climatic distance from a species' optimal climate.
Location
USA and Canada.
Methods
We obtained bird counts from the North American Breeding Bird Survey (BBS) from 1967 to 2012. For each BBS route, we calculated the probability of interannual local extinction for each of 206 passerine birds. We then used linear mixed-effects models and structural equation modelling to relate local extinction rates to our hypothesized predictor variables: temperature, precipitation and their distance from the species' most occupied temperature and precipitation.
Results
We found that local extinctions are nearly independent of temperature and precipitation: no climate is inherently more extinction-prone than any other. Similarly, the climatic distance from a species' maximally occupied temperature and precipitation has only an extremely weak positive effect on the probability of local extinction. We found that only abundance has a strong negative effect on the probability of local extinction.
Main conclusions
Although variations in local extinctions are typically spatially structured, we conclude that they are not related to contemporary climate in a consistent way among species. Broad-scale geographical gradients of species richness are unlikely to be driven by higher extinction rates in climatically harsh areas.
The importance of biotic interactions in species distribution models: a test of the Eltonian noise hypothesis using parrots
ABSTRACT
Aim
To test the Eltonian noise hypothesis (ENH), that biotic interactions do not affect species distributions at large geographical scales.
Location
The Brazilian cerrado, a central South American savanna and biodiversity hotspot.
Methods
We modelled the distributions of 11 species of cerrado parrots using the software Maxent at four different spatial resolutions. We built models using abiotic variables, biotic variables (distribution of diet resources) and models combining abiotic and biotic variables. We compared model performance using the area under the curve of the receiver operating characteristic (AUC), retrieved from test data. We partitioned the variance between sets of predictors using a generalized linear model (GLM). Finally, we evaluated whether improvement in model performance (higher AUC values) in models with both abiotic and biotic variables, was related to the species' dietary niche breadth and/or spatial resolution of the models.
Results
We found that model performance was improved in most cases by the addition of biotic variables. Our variance-partitioning approach revealed that abiotic and biotic variables contribute independently to the final model. We found no relationship between model improvement and spatial resolution. We also found no relationship between dietary niche breadth and model improvement, indicating that dietary generalist and specialist species were not differently affected by the inclusion of biotic variables in the models.
Main conclusions
Our results did not support the ENH. In this study, we explicitly incorporated a biotic variable (diet resource distribution) into species distribution models (SDMs), and we showed that these variables generally improve models and have independent contributions. These results agree with previous studies that incorporated biotic variables into SDMs. Ultimately, our results indicate that SDMs performed with abiotic variables only may depict only a partial representation of the geographical distribution of a species.
Climate change implications of shifting forest management strategy in a boreal forest ecosystem of Norway
Abstract
Empirical models alongside remotely sensed and station measured meteorological observations are employed to investigate both the local and global direct climate change impacts of alternative forest management strategies within a boreal ecosystem of eastern Norway. Stand-level analysis is firstly executed to attribute differences in daily, seasonal, and annual mean surface temperatures to differences in surface intrinsic biophysical properties across conifer, deciduous, and clear-cut sites. Relative to a conifer site, a slight local cooling of −0.13 °C at a deciduous site and −0.25 °C at a clear-cut site were observed over a 6-year period, which were mostly attributed to a higher albedo throughout the year. When monthly mean albedo trajectories over the entire managed forest landscape were taken into consideration, we found that strategies promoting natural regeneration of coniferous sites with native deciduous species led to substantial global direct climate cooling benefits relative to those maintaining current silviculture regimes – despite predicted long-term regional warming feedbacks and a reduced albedo in spring and autumn months. The magnitude and duration of the cooling benefit depended largely on whether management strategies jointly promoted an enhanced material supply over business-as-usual levels. Expressed in terms of an equivalent CO2 emission pulse at the start of the simulation, the net climate response at the end of the 21st century spanned −8 to −159 Tg-CO2-eq., depending on whether near-term harvest levels increased or followed current trends, respectively. This magnitude equates to approximately −20 to −300% of Norway's annual domestic (production) emission impact. Our analysis supports the assertion that a carbon-only focus in the design and implementation of forest management policy in boreal and other climatically similar regions can be counterproductive – and at best – suboptimal if boreal forests are to be used as a tool to mitigate global warming.
Incorporating spatial constraints in different periods of the annual cycle improves species distribution model performance for a highly mobile bird species
Abstract
Aim
The knowledge of both potential distribution and habitat suitability is fundamental for conservation planning and management of a variety of taxa world-wide. Species distribution models (SDMs) are increasingly applied as predictive tools for these purposes. Such models are based on the concept of ecological niche and assume that species distribute themselves based on niche spaces defined by climate and habitat features. However, this assumption can be violated due to the existence of pure spatial range constraints, a factor rarely accounted for in SDMs, particularly for highly mobile species. We analyse whether pure distance effects, niche-based environmental responses or a combination of both factors can play an important role in limiting the large-scale distribution of highly mobile species.
Location
Spain, southern Europe.
Methods
We modelled the spatial distribution of an expanding raptor species, the marsh harrier Circus aeruginosus, in Spain. We implemented one conventional statistical method (generalized linear model) and one nonparametric technique (maximum entropy, Maxent) using a large dataset on marsh harrier occurrence (n = 1586) in two different periods of the annual cycle, that is breeding and wintering seasons. We developed models that included environmental variables and that either ignored or incorporated spatial constraints using spatial eigenvector mapping (spatial filters).
Results
By comparing model accuracy, we found evidence that the distribution of marsh harriers in Spain was spatially constrained beyond environmental variables and that the effect of spatial constraints varies depending on the period of their annual cycle.
Main conclusions
Contrary to the equilibrium postulate, our results support the prediction that environmental specializations do not necessarily result in complete habitat matching due to dispersal limitations. Thus, ignoring spatial constraints in SDMs can lead to misunderstandings of the ecological mechanisms that explain species range limits.
The Epidemiology and Evolution of Symbionts with Mixed-Mode Transmission
Thermal Ecology, Environments, Communities, and Global Change: Energy Intake and Expenditure in Endotherms
Climate, fire size, and biophysical setting control fire severity and spatial pattern in the northern Cascade Range, USA
Warmer and drier climate over the past few decades has brought larger fire sizes and increased annual area burned in forested ecosystems of western North America, and continued increases in annual area burned are expected due to climate change. As warming continues, fires may also increase in severity and produce larger contiguous patches of severely burned areas. We used remotely sensed burn-severity data from 125 fires in the northern Cascade Range of Washington, USA, to explore relationships between fire size, severity, and the spatial pattern of severity. We examined relationships between climate and the annual area burned and the size of wildfires over a 25-year period. We tested the hypothesis that increased fire size is commensurate with increased burn severity and increased spatial aggregation of severely burned areas. We also asked how local ecological controls might modulate these relationships by comparing results over the whole study area (the northern Cascade Range) to those from four ecological subsections within it. We found significant positive relationships between climate and fire size, and between fire size and the proportion of high severity and spatial-pattern metrics that quantify the spatial aggregation of high-severity areas within fires, but the strength and significance of these relationships varied among the four subsections. In areas with more contiguous subalpine forests and less complex topography, the proportion and spatial aggregation of severely burned areas were more strongly correlated with fire size. If fire sizes increase in a warming climate, changes in the extent, severity, and spatial pattern of fire regimes are likely to be more pronounced in higher-severity fire regimes with less complex topography and more continuous fuels.
The eBird enterprise: An integrated approach to development and application of citizen science
Source:Biological Conservation, Volume 169
Author(s): Brian L. Sullivan , Jocelyn L. Aycrigg , Jessie H. Barry , Rick E. Bonney , Nicholas Bruns , Caren B. Cooper , Theo Damoulas , André A. Dhondt , Tom Dietterich , Andrew Farnsworth , Daniel Fink , John W. Fitzpatrick , Thomas Fredericks , Jeff Gerbracht , Carla Gomes , Wesley M. Hochachka , Marshall J. Iliff , Carl Lagoze , Frank A. La Sorte , Matthew Merrifield , Will Morris , Tina B. Phillips , Mark Reynolds , Amanda D. Rodewald , Kenneth V. Rosenberg , Nancy M. Trautmann , Andrea Wiggins , David W. Winkler , Weng-Keen Wong , Christopher L. Wood , Jun Yu , Steve Kelling
Citizen-science projects engage volunteers to gather or process data to address scientific questions. But citizen-science projects vary in their ability to contribute usefully for science, conservation, or public policy. eBird has evolved from a basic citizen-science project into a collective enterprise, taking a novel approach to citizen science by developing cooperative partnerships among experts in a wide range of fields: population and distributions, conservation biologists, quantitative ecologists, statisticians, computer scientists, GIS and informatics specialists, application developers, and data administrators. The goal is to increase data quantity through participant recruitment and engagement, but also to quantify and control for data quality issues such as observer variability, imperfect detection of species, and both spatial and temporal bias in data collection. Advances at the interface among ecology, statistics, and computer science allow us to create new species distribution models that provide accurate estimates across broad spatial and temporal scales with extremely detailed resolution. eBird data are openly available and used by a broad spectrum of students, teachers, scientists, NGOs, government agencies, land managers, and policy makers. Feedback from this broad data use community helps identify development priorities. As a result, eBird has become a major source of biodiversity data, increasing our knowledge of the dynamics of species distributions, and having a direct impact on the conservation of birds and their habitats.
Interactive effects of landscape history and current management on dispersal trait diversity in grassland plant communities
Summary
- Plant communities and their ecosystem functions are expected to be more resilient to future habitat fragmentation and deterioration if the species comprising the communities have a wide range of dispersal and persistence strategies. However, the extent to which the diversity of dispersal and persistence traits in plant communities is determined by the current and historical characteristics of sites and their surrounding landscape has yet to be explored.
- Using quantitative information on long-distance seed dispersal potential by wind and animals (dispersal in space) and on species' persistence/longevity (dispersal in time), we (i) compared levels of dispersal and persistence trait diversity (functional richness, FRic, and functional divergence, FDiv) in seminatural grassland plant communities with those expected by chance, and (ii) quantified the extent to which trait diversity was explained by current and historical landscape structure and local management history – taking into account spatial and phylogenetic autocorrel.
- Null model analysis revealed that more grassland communities than expected had a level of trait diversity that was lower or higher than predicted, given the level of species richness. Both the range (FRic) and divergence (FDiv) of dispersal and persistence trait values increased with grassland age. FDiv was mainly explained by the interaction between current grazing intensity and the amount of grassland habitat in the surrounding landscape in 1938.
- Synthesis. The study suggests that the variability of dispersal and persistence traits in grassland plant communities is driven by deterministic assembly processes, with both history and current management (and their interactions), playing a major role as determinants of trait diversity. While a long continuity of grazing management is likely to have promoted the diversity of dispersal and persistence traits in present-day grasslands, communities in sites that are well grazed at the present day, and were also surrounded by large amounts of grassland in the past, showed the highest diversity of dispersal and persistence strategies. Our results indicate that the historical context of a site within a landscape will influence the extent to which current grazing management is able to maintain a diversity of dispersal and persistence strategies and buffer communities (and their associated functions) against continuing habitat fragmentation.
Interactions between landscape history and current management are a major determinant of the diversity of dispersal and persistence strategies within grassland plant communities. The ability of within-site management to buffer communities, and their associated functions, against habitat fragmentation is likely to be influenced by the historical landscape-context of a site.
Climate change and habitat heterogeneity drive a population increase in Common Buzzards Buteo buteo through effects on survival
The effect of changing climatic conditions on wild populations has been the subject of much recent research. Most attention has been on the direct effects of climate changes on species of lower trophic levels and on the negative consequences of climate change. However, a deeper understanding of how climate change affects apex predators is vital, as they are keystone species that have a disproportionate effect on ecosystems. Studying survival in an apex predator requires individual-based data from long-term studies and is complicated by the integration of climatic effects on lower trophic levels. Here we assess how climate affects the survival of the Common Buzzard Buteo buteo. We analysed the survival of 670 males and 669 females over the period 1989–2011, during which time our study population quadrupled. We used mark–recapture survival analysis of individual resightings of breeding adults to identify the environmental factors best explaining survival. A decrease in the North Atlantic Oscillation (NAO) index increased survival to an extent that largely explains the population increase. This might be caused by higher Common Vole Microtus arvalis survival in drier conditions and under snow cover. Buzzard survival appeared to increase more for males than for females, possibly due to the males' higher sensitivity to winter food availability resulting from their smaller body mass. However, we also found that the effect of NAO strongly depended on the area in which individuals lived, especially for females. This may have been caused by the recolonization of Eagle Owls Bubo bubo in some parts of our study area. This study suggests that climatic changes can have complex effects on species of higher trophic levels via an interaction with their prey.
Movement ecology of amphibians: A missing component for understanding population declines
Source:Biological Conservation, Volume 169
Author(s): Shannon E. Pittman , Michael S. Osbourn , Raymond D. Semlitsch
Movement is a fundamental process of all organisms that has strong consequences for individual fitness, gene flow, natural selection, adaptation, population persistence, metapopulation dynamics, and species distributions. Yet, a lack of understanding about how different organisms move in relation to landscape structure and resource availability may prevent full understanding of species declines and extinctions. In this perspective, we introduce the concept of movement ecology for aquatic-breeding amphibians, summarize our knowledge on amphibian movement, identify critical gaps, and provide a context for how understanding movement will help develop solutions for more effective amphibian conservation. Juvenile amphibian movement is a multi-phase process during which individuals adjust movement speed, responsiveness to habitat features, and propensity of settling based on internal state and the external environment. Our review enables future studies to place amphibian movement data into a larger explanatory context and could help guide new avenues of research. Understanding juvenile responses to habitat features during dispersal will aid in developing realistic, predictive models of amphibian movement that could be used to further conservation and management efforts such as mitigation and restoration, and will also add to theory about how movement mechanisms during dispersal impact population persistence in altered landscapes.
Publicació de la pàgina web de Natura2000 – Presiones Ambientales
El 2013 l’Àrea de Biodiversitat del CTFC ha desenvolupat un projecte finançat per la Fundación Biodiversidad en el qual es feia un nou enfocament de la gestió dels espais de la xarxa Natura 2000 a partir de la priorització de les pressions ambientals més eficients de gestionar per millorar l’efectivitat de la conservació de la biodiversitat en cada espai natural.
El projecte pilot ha identificat , mitjançant una metodologia integradora , les principals pressions d’origen antròpic i natural que actuen sobre espècies d’interès comunitari en 12 espais LIC de la Xarxa Natura 2000 catalana . Aquest exercici de priorització , estableix un eix complementari per a la definició d’estratègies i mesures de conservació i hauria d’ajudar a orientar i optimitzar la implementació de les mateixes en aquests espais.
Les anàlisis realitzades han identificat que les pressions més rellevants són l’absència d’estructura adequades i maduresa dels boscos , les activitats esportives i d’oci a l’aire lliure , l’abandonament de pastures , l’ús de plaguicides , la recol · lecció il · legal i el furtivisme , i l’eliminació de bardisses i tanques , en el medi terrestre , i les espècies al · lòctones invasores , la contaminació i eutrofització del medi , i les alteracions fluvials en el medi aquàtic.
Part de la informació generada en el projecte , a partir d’ara es pot consultar en la pàgina web del projecte que mostra , a nivell d’espècie i espai , les pressions ambientals i mesures de gestió més adequades per revertir les pressions identificades , per acabar descrivint les principals pressions per a tot el conjunt .
Per més informació:
IPBES-2: Submission of credentials required
Each Member of the Platform is required to submit the official credentials of its representative, together with the names of alternate representatives and advisers, to the secretariat. In accordance with the Rules of Procedure adopted for IPBES, the credentials of representatives of any member of the Platform need to be issued by or on behalf of the member's Head of State or Government or minister for foreign affairs consistent with each country's policy and law. Each Member is encouraged to send a copy of the credentials to the secretariat in advance of the meeting, preferably by e-mail (registration@ipbes.net), and the original should be submitted as soon as possible, but no later than 24 hours after the opening of the session. Only Members that have submitted valid credentials will have the right to take part in decision making at the meeting.
New article: Incorporating spatial constraints in different periods of the annual cycle improves species distribution model performance for a highly mobile bird species
Incorporating spatial constraints in different periods of the annual cycle improves species distribution model performance for a highly mobile bird species
A new article published in Diversity & Distributions and lead by Laura Cardador from the ECOLAND group, examines the role that pure distance effects and niche-based environmental responses can play in limiting the large-scale distribution of highly mobile species.
Using an expanding raptor species, the marsh harrier Circus aeruginosus, in Spain as a model, the article provides evidence that distribution of highly mobile species can be spatially constrained beyond environmental variables and that the effect of spatial constraints can vary in different periods of the annual cycle. Contrary to the equilibrium postulate, results found in this study support the prediction that environmental specializations do not necessarily result in complete habitat matching due to dispersal limitations. Thus, ignoring spatial constraints in species distribution models can lead to misunderstandings of the ecological mechanisms that explain species range limits. The sutdy was supported by the project Steppeahead, funded by CSIC, FGSIC and Banco Santander, during part of this study.
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La incorporació de constriccions espacials en diferents períodes del cicle anual millora la precisió dels models de distribució d’una espècie altament mòbil
Un nou article publicat a la revista Diversity & Distributions i liderat per Laura Cardador de l’equip ECOLAND, analitza el paper que juguen les variables ambientals i les constriccions espacials en limitar la distribució d’espècies altament mòbils. Usant com a model, la distribució de l’arpella vulgar Circus aeruginosus a Espanya, l’article mostra que els patrons de distribució d’espècies altament mòbils poden no ajustar-se completament als requeriments climàtics i d’hàbitat d’aquestes espècies degut a l’existència de limitacions espacials, com per exemple les resultants de limitacions dispersives. Aquestes constriccions poden diferir, a més, entre diferents períodes del cicle anual. En aquest sentit, no tenir en compte les constriccions espacials en el models de distribució d’espècies pot portar a males interpretacions dels mecanismes ecològics que expliquen el rang de distribució d’aquestes. La Laura Cardador forma part de l’equip del projecte Steppeahead, finançat pel CSIC, FGSIC i Banc Santander.
Imperfect detection impacts the performance of species distribution models
Abstract
Aim
Species often remain undetected at sites where they are present. However, the impact of imperfect detection on species distribution models (SDMs) is not fully appreciated. In this paper we evaluate the influence of imperfect detection on the calibration and discrimination capacity of SDMs. We compare the performance of three types of SDMs: (1) a technique based on presence–absence data, (2) a technique based on presence–background data, and (3) a technique based on detection/non-detection data that accounts for imperfect detection.
Innovation
We use simulations to evaluate the impacts of imperfect detection in SDMs. This allows us to assess model performance with respect to the true objective of the models: the estimation of species distributions. We study a range of scenarios of occupancy and detection based on ecologically plausible environmental relationships and identify the circumstances in which imperfect detection affects model calibration and discrimination. We show that imperfect detection can substantially reduce the inferential and predictive accuracy of presence–absence and presence–background methods that do not account for detectability. While calibration is always affected, the influence on discrimination depends on the relationship of detectability and environmental variables.
Main conclusions
The performance of a model should be assessed with respect to its objectives. Comparative studies that intend to assess the performance of an SDM by evaluating its ability to predict detections rather than presences fail to reveal the benefits of accounting for detectability. Disregarding imperfect detection can have severe consequences for SDM performance, and hence for the estimation of species distributions. To date, this issue has been largely ignored in the SDM literature. Simultaneously modelling occupancy and detection does not necessarily require a greater sampling effort, but rather that data are collected so that they are informative about detectability. We recommend that consideration of imperfect detection become standard practice for species distribution modelling.
IPBES-2 opens in Antalya, Turkey -follow the meeting live
The Second Plenary Meeting of the Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES-2) opens today in Antalya, Turkey, with welcome remarks from Hon. Dr. Nurettin Akman, Vice-Minister of the Ministry of Forestry and Water Affairs, Turkey and from Ibrahim Thiaw, UNEP's Deputy Executive Director.
Coverage of IPBES-2 will be provided by IISD Reporting Services. Follow this link: http://www.iisd.ca/ipbes/ipbes2/ for daily updates and a final report.
You can also follow IPBES live on Twitter.

Alfred Oteng-Yeboah, Ghana,pays tribute to Nelson Mandela, during the opening session of IPBES-2 (photo by ENB)


Dr. Nurettin Akman, Vice -Monister fro Forest and Water Affairs, Turkey and Ibrahim Thiaw, UNEP's Deputy Executive Director providing their opening remarks (photos by ENB)
Niche filtering rather than partitioning shapes the structure of temperate forest ant communities
Summary
- An ever-increasing number of studies use tools from community phylogenetics to infer the processes underlying the assembly of communities. However, very few studies simultaneously use experimental approaches to characterize the ecological niches of species and directly assess the importance of these structuring processes.
- In this study, we developed an experimental approach for quantifying the use of four types of food resources and three habitat templets in temperate forest ant assemblages. We then used null models to assess whether niches overlapped more or less than expected by chance. Finally, we integrated comparative phylogenetic methods with experimental data on niche use to assess the degree of phylogenetic signal in several key components of the niche.
- We found that niche filtering, rather than partitioning, was the predominant structuring force. Niche filtering resulted from conservatism in habitat niches in evolutionary time and limitations in the availability of food resources in ecological time.
- Our study thus supports the idea that similarities in niches among species, rather than the differences, drive the assembly of ant communities.
This work combines experimental, phylogenetic and null modelling approaches to ask an age-old question: How do species co-occur at the same place at the same time? The experiments were carried out in forest sites such as this one in southern Appalachia.
Ecologists should not use statistical significance tests to interpret simulation model results
Simulation models are widely used to represent the dynamics of ecological systems. A common question with such models is how changes to a parameter value or functional form in the model alter the results. Some authors have chosen to answer that question using frequentist statistical hypothesis tests (e.g. ANOVA). This is inappropriate for two reasons. First, p-values are determined by statistical power (i.e. replication), which can be arbitrarily high in a simulation context, producing minuscule p-values regardless of the effect size. Second, the null hypothesis of no difference between treatments (e.g. parameter values) is known a priori to be false, invalidating the premise of the test. Use of p-values is troublesome (rather than simply irrelevant) because small p-values lend a false sense of importance to observed differences. We argue that modelers should abandon this practice and focus on evaluating the magnitude of differences between simulations.
Synthesis
Researchers analyzing field or lab data often test ecological hypotheses using frequentist statistics (t-tests, ANOVA, etc.) that focus on p-values. Field and lab data usually have limited sample sizes, and p-values are valuable for quantifying the probability of making incorrect inferences in that situation. However, modern ecologists increasingly rely on simulation models to address complex questions, and those who were trained in frequentist statistics often apply the hypothesis-testing approach inappropriately to their simulation results. Our paper explains why p-values are not informative for interpreting simulation models, and suggests better ways to evaluate the ecological significance of model results.
Modeling the effects of dispersal and patch size on predicted fisher (Pekania [Martes] pennanti) distribution in the U.S. Rocky Mountains
Source:Biological Conservation, Volume 169
Author(s): Lucretia E. Olson , Joel D. Sauder , Nathan M. Albrecht , Ray S. Vinkey , Samuel A. Cushman , Michael K. Schwartz
Climate change impacts many species through shifts in habitat. The intensity of this impact will depend on the dispersal rates of the species, the patchiness of the environment, and the velocity of habitat change. Here we examine how dispersal affects projected future habitat availability for a threatened carnivore, the fisher (Pekania [Martes] pennanti). We used non-invasive genetic sampling to detect fisher across their historical distribution in Montana and Idaho. This survey included 4846 non-invasive hair snares, of which 288 identified fishers through mitochondrial DNA analysis. We modeled the distribution of fisher across western Montana and northern Idaho using a suite of vegetative, topographic, and climatic variables. We modeled future distribution using a global climate model and two climate change scenarios (high emissions [A2] or reduced emissions [B2]) and three time steps (2030, 2060, and 2090). We incorporated the effects of dispersal ability and habitat patch size into our model by varying the distance and enforcing a minimum patch size at which newly created habitat could be colonized. We found that the probability of current fisher occurrence was highest given the presence of mesic forest types with tall trees, high annual precipitation, and mid-range winter temperatures. Future predictions show an increase in area of high-probability habitat under most dispersal assumptions. Interestingly, we found a large contrast in results when minimum patch size and species dispersal capabilities were considered. Our distribution model with full dispersal and no limits on patch size predicted a 24.5% increase in fisher habitat by 2090, whereas a dispersal limit of 1km through non-habitat (agricultural fields and urban zones) and a minimum patch size yielded a loss of 25.8% of fisher habitat under this same scenario. Varying dispersal appears to limit habitat availability more than minimum patch size under most scenarios.
Ecosystem services reinforce Sumatran tiger conservation in land use plans
Source:Biological Conservation, Volume 169
Author(s): Nirmal K. Bhagabati , Taylor Ricketts , Thomas Barano Siswa Sulistyawan , Marc Conte , Driss Ennaanay , Oki Hadian , Emily McKenzie , Nasser Olwero , Amy Rosenthal , Heather Tallis , Stacie Wolny
Ecosystem services have clear promise to help identify and protect priority areas for biodiversity. To leverage them effectively, practitioners must conduct timely analyses at appropriate scales, often with limited data. Here we use simple spatial analyses on readily available datasets to compare the distribution of five ecosystem services with tiger habitat in central Sumatra. We assessed services and habitat in 2008 and the changes in these variables under two future scenarios: a conservation-friendly Green Vision, and a Spatial Plan developed by the Indonesian government. In 2008, the range of tiger habitat overlapped substantially with areas of high carbon storage and sediment retention, but less with areas of high water yield and nutrient retention. Depending on service, location and spatial grain of analysis, there were both gains and losses from 2008 to each scenario; however, aggregate provision of each ecosystem service (except water yield) and total area of tiger habitat were higher in the Vision than the Plan, likely driven by an increase in forest cover in the Vision. Sub-watersheds with high levels of several ecosystem services contained substantially more tiger habitat than random subsets of sub-watersheds, suggesting that prioritizing ecosystem services could benefit tiger conservation. Our analyses provided input to government-led spatial planning and strategic environmental assessments in the study area, indicating that even under time and data constraints, policy-relevant assessments of multiple ecosystem services are feasible.
Unsupported inferences of high-severity fire in historical dry forests of the western United States: response to Williams and Baker
Abstract
Reconstructions of dry western US forests in the late 19th century in Arizona, Colorado and Oregon based on General Land Office records were used by Williams & Baker (2012; Global Ecology and Biogeography, 21, 1042–1052; hereafter W&B) to infer past fire regimes with substantial moderate and high-severity burning. The authors concluded that present-day large, high-severity fires are not distinguishable from historical patterns. We present evidence of important errors in their study. First, the use of tree size distributions to reconstruct past fire severity and extent is not supported by empirical age–size relationships nor by studies that directly quantified disturbance history in these forests. Second, the fire severity classification of W&B is qualitatively different from most modern classification schemes, and is based on different types of data, leading to an inappropriate comparison. Third, we note that while W&B asserted ‘surprising’ heterogeneity in their reconstructions of stand density and species composition, their data are not substantially different from many previous studies which reached very different conclusions about subsequent forest and fire behaviour changes. Contrary to the conclusions of W&B, the preponderance of scientific evidence indicates that conservation of dry forest ecosystems in the western United States and their ecological, social and economic value is not consistent with a present-day disturbance regime of large, high-severity fires, especially under changing climate.
Common montane birds are declining in northern Europe
Large-scale multi-species data on population changes of alpine or arctic species are largely lacking. At the same time, climate change has been argued to cause poleward and uphill range shifts and the concomitant predicted loss of habitat may have drastic effects on alpine and arctic species. Here we present a multi-national bird indicator for the Fennoscandian mountain range in northern Europe (Finland, Sweden and Norway), based on 14 common species of montane tundra and subalpine birch forest. The data were collected at 262 alpine survey plots, mainly as a part of geographically representative national breeding bird monitoring schemes. The area sampled covers around 1/4 million km2, spanning 10 degrees of latitude and 1600 km in a northeast–southwest direction. During 2002–2012, nine of the 14 bird species declined significantly in numbers, in parallel to higher summer temperatures and precipitation during this period compared to the preceding 40 yr. The population trends were largely parallel in the three countries and similar among montane tundra and subalpine birch forest species. Long-distance migrants declined less on average than residents and short-distance migrants. Some potential causes of the current decline of alpine birds are discussed, but since montane bird population sizes may show strong natural annual variation due to several factors, longer time series are needed to verify the observed population trends. The present Fennoscandian monitoring systems, which from 2010 onwards include more than 400 montane survey plots, have the capacity to deliver a robust bird indicator in the climate-sensitive mountainous regions of northernmost Europe for conservation purposes.
The landscape of fear: the missing link to understand top-down and bottom-up controls of prey abundance?
Identifying factors that may be responsible for regulating the size of animal populations is a cornerstone in understanding population ecology. The main factors that are thought to influence population size are either resources (bottom-up), or predation (top-down), or interspecific competition (parallel). However, there are highly variable and often contradictory results regarding their relative strengths and influence. These varied results are often interpreted as indicating “shifting control” among the three main factors, or a complex, nonlinear relationship among environmental variables, resource availability, predation, and competition. We argue here that there is a “missing link” in our understanding of predator–prey dynamics. We explore whether the landscape-of-fear model can help us clarify the inconsistencies and increase our understanding of the roles, extent, and possible interactions of top-down, bottom-up, and parallel factors on prey population abundance. We propose two main predictions derived from the landscape-of-fear model: (1) for a single species, we suggest that as the makeup of the landscape of fear changes from relatively safe to relatively risky, bottom-up impacts switch from strong to weak as top-down impacts go from weak to strong; (2) for two or more species, interspecific competitive interactions produce various combinations of bottom-up, top-down, and parallel impacts depending on the dominant competing species and whether the landscapes of fear are shared or distinctive among competing species. We contend that these predictions could successfully explain many of the complex and contradictory results of current research. We test some of these predictions based on long-term data for small mammals from the Chihuahuan Desert in the United States. and Mexico. We conclude that the landscape-of-fear model does provide reasonable explanations for many of the reported studies and should be tested further to better understand the effects of bottom-up, top-down, and parallel factors on population dynamics.
Ecological Footprint: Implications for biodiversity
Source:Biological Conservation, Volume 173
Author(s): Alessandro Galli , Mathis Wackernagel , Katsunori Iha , Elias Lazarus
In October 2010, world leaders gathered in Nagoya, Japan, for the CBD COP10 and agreed on the adoption of new biodiversity targets and new indicators for the period 2011–2020. This represents a positive development. But given the previous failure in achieving the 2010 biodiversity targets, new approaches to implementation as well as relevant measuring and monitoring systems are needed, for this renewed effort to have lasting success in preserving biodiversity.The need to adopt a comprehensive approach in monitoring biodiversity clearly emerged and it can be seen in the five strategic goals within which the 2020 Aichi Biodiversity targets are classified. Among them, is the strategic goal A, which aims to address the underlying causes of biodiversity loss by mainstreaming biodiversity across government and society. The aim of this paper is to describe the role of the Ecological Footprint in tracking human-induced pressures on biodiversity thus providing a synthesis of how the Ecological Footprint tool can contribute to the advancement of conservation science. Information is provided on the main features of the Footprint indicator and its dataset, the ongoing work to improve the methodology as well as the geographical (more than 150 countries covered) and temporal coverage (a period of almost five decades) of the Ecological Footprint accounting tool.
Exotic plants contribute positively to biodiversity functions but reduce native seed production and arthropod richness
Although exotic plants comprise a substantial portion of floristic biodiversity, their contributions to community and ecosystem processes are not well understood. We manipulated plant species richness in old-field communities to compare the impacts of native vs. exotic species on plant biomass, seed production, and arthropod community structure. Plants within diverse communities, regardless of whether they were native or exotic, had higher biomass and seed production than in monocultures and displayed positive complementarity. Increasing native or exotic plant richness also enhanced the richness of arthropods on plants, but exotics attracted fewer arthropod species for a given arthropod abundance than did natives. Additionally, when exotic and native plants grew together, exotics suppressed seed production of native species. Thus, exotic plants appear to contribute positively to some biodiversity functions, but may impact native communities over longer time frames by reducing native seed production and recruiting fewer arthropod species.
