scholarly journals A remote sensing-based dataset to characterize the ecosystem functioning and functional diversity in the Biosphere Reserve of Sierra Nevada (SE Spain)

2021 ◽  
Author(s):  
Beatriz P. Cazorla ◽  
Javier Cabello ◽  
Andrés Reyes ◽  
Emilio Guirado ◽  
Julio Peñas ◽  
...  
Keyword(s):  
Primary Production ◽  
Functional Diversity ◽  
Sierra Nevada ◽  
Ecosystem Functioning ◽  
Vegetation Index ◽  
Biosphere Reserve ◽  
Ecosystem Functions ◽  
Ecological Research ◽  
Functional Attributes

Abstract. Conservation Biology faces the challenge of safeguarding the ecosystem functions and ecological processes (water cycle, nutrients, energy flow, and community dynamics) that sustain the multiple facets of biodiversity. Characterization and evaluation of these processes and functions can be carried out through functional attributes or traits related to the exchanges of matter and energy between vegetation and the atmosphere. Based on this principle, satellite imagery can provide integrative spatiotemporal characterizations of ecosystem functions at local to global scales. Here, we provide a multi-temporal dataset at protected area level, that characterizes the spatial patterns and temporal dynamics of ecosystem functioning in the Biosphere Reserve of Sierra Nevada (Spain), captured through the spectral vegetation index EVI (Enhanced Vegetation Index, product MOD13Q1.006 from MODIS sensor) from 2001 to 2018. The database contains, at the annual scale, a synthetic map of Ecosystem Functional Types (EFTs) classes from three Ecosystem Functional Attributes (EFAs): i) descriptors of annual primary production, ii) seasonality, and iii) phenology of carbon gains. It also includes two ecosystem functional diversity indices derived from the above datasets: i) EFT richness, and ii) EFT rarity. Finally, it provides inter-annual summaries for all previous variables, i.e., their long-term means and inter-annual variabilities. The datasets are available in two open-source sites (PANGAEA: https://doi.pangaea.de/10.1594/PANGAEA.924792 (Cazorla et al., 2020a) and http://obsnev.es/apps/efts_SN.html). This dataset brings to scientists, managers, and the general public, valuable information on the first characterization of ecosystem functional diversity based on primary production developed in Sierra Nevada, a biodiversity hotspot in the Mediterranean basin, and an exceptional natural laboratory for ecological research within the Long-Term Social-Ecological Research (LTSER) network.

scholarly journals A remote sensing-based dataset to characterize the ecosystem functioning and functional diversity of a Biosphere Reserve: Sierra Nevada (SE Spain)

2020 ◽  
Author(s):  
Beatriz P. Cazorla ◽  
Javier Cabello ◽  
Andrés Reyes ◽  
Emilio Guirado ◽  
Julio Peñas ◽  
...  
Keyword(s):  
Functional Diversity ◽  
Sierra Nevada ◽  
Ecosystem Functioning ◽  
Vegetation Index ◽  
Management Practices ◽  
Environmental Gradients ◽  
Environmental Data ◽  
Data Availability ◽  
Ecological Processes

Abstract. Conservation Biology faces the challenge of safeguarding the ecological processes that sustain biodiversity. Characterization and evaluation of these processes can be carried out through attributes or functional traits related to the exchanges of matter and energy between vegetation and the atmosphere. Nowadays, the use of satellite imagery provides useful methods to produce a spatially continuous characterization of ecosystem functioning and processes at regional scales. Our dataset characterizes the patterns of ecosystem functioning in Sierra Nevada (Spain) from the vegetation greenness dynamics captured through the spectral vegetation index EVI (Enhanced Vegetation Index) since 2001 to 2018 (product MOD13Q1.006 from MODIS sensor). First, we provided three Ecosystem Functional Attributes (EFAs) (i.e., descriptors of annual primary production, seasonality, and phenology of carbon gains), as well as their integration into a synthetic mapping of Ecosystem Functional Types (EFTs). Second, we provided two measures of functional diversity: EFT richness and EFT rarity. Finally, in addition to the yearly maps, we calculated interannual summaries, i.e., means and inter-annual variabilities. Examples of research and management applications of these data sets are also included to highlight the value of EFAs and EFTs to improve the understanding and monitoring ecosystem processes across environmental gradients. The datasets are available in two open-source sites (PANGAEA: https://doi.pangaea.de/10.1594/PANGAEA.904575 (Cazorla et al. 2019) and http://obsnev.es/apps/efts_SN.html), and bring to scientists, managers and the general public valuable information on the first characterization of the functional diversity at ecosystem level developed in a Mediterranean hotspot. Sierra Nevada represents an exceptional ecology laboratory of field conditions, where a long-term monitoring (LTER) program was established 10 years ago. The data availability on biodiversity, climate, ecosystem services, hydrology, land-use changes and management practices from Sierra Nevada, will allow to explore the relationships between these other environmental data and ecosystem functional data that we provide in this work.

scholarly journals Plant traits are poor predictors of long-term ecosystem functioning

2019 ◽  
Author(s):  
Fons van der Plas ◽  
Thomas Schröder-Georgi ◽  
Alexandra Weigelt ◽  
Kathryn Barry ◽  
Sebastian Meyer ◽  
...  
Keyword(s):  
Plant Species ◽  
Ecosystem Functioning ◽  
Plant Traits ◽  
Vascular Plant ◽  
Plant Performance ◽  
Ecosystem Functions ◽  
Average Percentage ◽  
Functional Consequences ◽  
Small Set

ABSTRACTEarth is home to over 350,000 vascular plant species1 that differ in their traits in innumerable ways. Yet, a handful of functional traits can help explaining major differences among species in photosynthetic rate, growth rate, reproductive output and other aspects of plant performance2–6. A key challenge, coined “the Holy Grail” in ecology, is to upscale this understanding in order to predict how natural or anthropogenically driven changes in the identity and diversity of co-occurring plant species drive the functioning of ecosystems7, 8. Here, we analyze the extent to which 42 different ecosystem functions can be predicted by 41 plant traits in 78 experimentally manipulated grassland plots over 10 years. Despite the unprecedented number of traits analyzed, the average percentage of variation in ecosystem functioning that they jointly explained was only moderate (32.6%) within individual years, and even much lower (12.7%) across years. Most other studies linking ecosystem functioning to plant traits analyzed no more than six traits, and when including either only six random or the six most frequently studied traits in our analysis, the average percentage of explained variation in across-year ecosystem functioning dropped to 4.8%. Furthermore, different ecosystem functions were driven by different traits, with on average only 12.2% overlap in significant predictors. Thus, we did not find evidence for the existence of a small set of key traits able to explain variation in multiple ecosystem functions across years. Our results therefore suggest that there are strong limits in the extent to which we can predict the long-term functional consequences of the ongoing, rapid changes in the composition and diversity of plant communities that humanity is currently facing.

scholarly journals Functional diversity of marine megafauna in the Anthropocene

2020 ◽  
Vol 6 (16) ◽  
pp. eaay7650 ◽  
Author(s):  
C. Pimiento ◽  
F. Leprieur ◽  
D. Silvestro ◽  
J. S. Lefcheck ◽  
C. Albouy ◽  
...  
Keyword(s):  
At Risk ◽  
Functional Diversity ◽  
Threatened Species ◽  
Ecosystem Functioning ◽  
Ecosystem Functions ◽  
Functional Richness ◽  
Risk Of Extinction ◽  
If Current ◽  
Marine Megafauna

Marine megafauna, the largest animals in the oceans, serve key roles in ecosystem functioning. Yet, one-third of these animals are at risk of extinction. To better understand the potential consequences of megafaunal loss, here we quantify their current functional diversity, predict future changes under different extinction scenarios, and introduce a new metric [functionally unique, specialized and endangered (FUSE)] that identifies threatened species of particular importance for functional diversity. Simulated extinction scenarios forecast marked declines in functional richness if current trajectories are maintained during the next century (11% globally; up to 24% regionally), with more marked reductions (48% globally; up to 70% at the poles) beyond random expectations if all threatened species eventually go extinct. Among the megafaunal groups, sharks will incur a disproportionate loss of functional richness. We identify top FUSE species and suggest a renewed focus on these species to preserve the ecosystem functions provided by marine megafauna.

scholarly journals Multitrophic functional diversity predicts ecosystem functioning in experimental assemblages of estuarine consumers

2014 ◽  
Author(s):  
Jonathan S Lefcheck ◽  
J. Emmett Duffy
Keyword(s):  
Species Richness ◽  
Food Web ◽  
Functional Diversity ◽  
Functional Traits ◽  
Ecosystem Functioning ◽  
Structural Equation ◽  
Trophic Levels ◽  
Ecosystem Functions ◽  
Equation Modeling ◽  
Experimental Investigations

The use of functional traits to explain biodiversity effects on ecosystem functioning has attracted intense recent interest, yet very few a priori manipulations of functional diversity have been attempted to date, especially from a food web perspective. Here, we simultaneously manipulated multiple functional traits of estuarine grazers and predators within multiple levels of species richness to test whether species richness or functional diversity is a better predictor of ecosystem functioning in multitrophic estuarine food webs. Community functional diversity better predicted the majority of ecosystem responses based on results from generalized linear mixed effects models. Structural equation modeling revealed that this outcome was independently attributable to functional diversity of both trophic levels, with stronger effects observed for predators. Functional complementarity was also important, as species with different combinations of traits influenced different ecosystem functions. Our study is the first to extend experimental investigations of functional diversity to a multilevel food web, and demonstrates that functional diversity is more effective than species richness in predicting ecosystem functioning in a food web context.

scholarly journals Functional diversity outperforms taxonomic diversity in revealing short-term trampling effects

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wei Li ◽  
Shuqiang He ◽  
Xiping Cheng ◽  
Mingqiang Zhang
Keyword(s):  
Functional Diversity ◽  
Functional Divergence ◽  
Taxonomic Diversity ◽  
Matter Content ◽  
Ecosystem Functions ◽  
Dry Matter Content ◽  
Alpine Grasslands ◽  
Ecosystem Goods And Services ◽  
Goods And Services ◽  
Functional Attributes

AbstractAlpine grasslands harbor diverse groups of flora and fauna, provide important ecosystem functions, and yield essential ecosystem goods and services, especially for the development of nature-based tourism. However, they are experiencing increasing anthropogenic perturbations such as tourist trampling. Although negative effects of tourist trampling on alpine vegetation have been frequently reported, previous studies have focused mainly on changes in taxonomic diversity after trampling, and rarely provide a mechanistic elucidation of trampling effects from a trait-based perspective. The present study evaluates the impacts of simulated trampling on taxonomic and functional diversity of a typical alpine grassland community in Shangri-La, China using a standardized protocol. The results showed that although taxonomic diversity was not statistically significantly affected by trampling, some functional attributes responded rapidly to trampling disturbance. Specifically, functional divergence decreased with an increase in trampling intensity, and characteristics of community-weighted mean trait values changed towards shorter species with reduced leaf area and lower leaf dry matter content. Such strong shifts in functional attributes may further affect ecosystem goods and services provided by alpine grasslands. Our inclusion of functional diversity in the analysis thus adds an important caution to previous studies predominantly focusing on taxonomic diversity, and it is urgent to keep alpine grasslands well managed and ecologically coherent so that their valuable functions and services can be safeguarded.

scholarly journals Biotic interactions, community assembly, and eco-evolutionary dynamics as drivers of long-term biodiversity–ecosystem functioning relationships

2019 ◽  
Vol 5 ◽  
Author(s):  
Nico Eisenhauer ◽  
Michael Bonkowski ◽  
Ulrich Brose ◽  
Francois Buscot ◽  
Walter Durka ◽  
...  
Keyword(s):  
Community Assembly ◽  
Ecosystem Functioning ◽  
Biotic Interactions ◽  
Research Unit ◽  
Ecosystem Functions ◽  
Feedback Effects ◽  
Biodiversity Change ◽  
Diversity Effects ◽  
The Jena Experiment

The functioning and service provisioning of ecosystems in the face of anthropogenic environmental and biodiversity change is a cornerstone of ecological research. The last three decades of biodiversity–ecosystem functioning (BEF) research have provided compelling evidence for the significant positive role of biodiversity in the functioning of many ecosystems. Despite broad consensus of this relationship, the underlying ecological and evolutionary mechanisms have not been well understood. This complicates the transition from a description of patterns to a predictive science. The proposed Research Unit aims at filling this gap of knowledge by applying novel experimental and analytical approaches in one of the longest-running biodiversity experiments in the world: the Jena Experiment. The central aim of the Research Unit is to uncover the mechanisms that determine BEF relationships in the short- and in the long-term. Increasing BEF relationships with time in long-term experiments do not only call for a paradigm shift in the appreciation of the relevance of biodiversity change, they likely are key to understanding the mechanisms of BEF relationships in general. The subprojects of the proposed Research Unit fall into two tightly linked main categories with two research areas each that aim at exploring variation in community assembly processes and resulting differences in biotic interactions as determinants of the long-term BEF relationship. Subprojects under “Microbial community assembly” and “Assembly and functions of animal communities” mostly focus on plant diversity effects on the assembly of communities and their feedback effects on biotic interactions and ecosystem functions. Subprojects under “Mediators of plant-biotic interactions” and “Intraspecific diversity and micro-evolutionary changes” mostly focus on plant diversity effects on plant trait expression and micro-evolutionary adaptation, and subsequent feedback effects on biotic interactions and ecosystem functions. This unification of evolutionary and ecosystem processes requires collaboration across the proposed subprojects in targeted plant and soil history experiments using cutting-edge technology and will produce significant synergies and novel mechanistic insights into BEF relationships. The Research Unit of the Jena Experiment is uniquely positioned in this context by taking an interdisciplinary and integrative approach to capture whole-ecosystem responses to changes in biodiversity and to advance a vibrant research field.

scholarly journals Global Change Impact in the Sierra Nevada Long-Term Ecological Research Site (Southern Spain)

2017 ◽  
Vol 98 (2) ◽  
pp. 157-164 ◽  
Author(s):  
Regino Zamora ◽  
Antonio J. Pérez-Luque ◽  
Francisco J. Bonet ◽  
José Miguel Barea-Azcón ◽  
Rut Aspizua ◽  
...  
Keyword(s):  
Global Change ◽  
Sierra Nevada ◽  
Southern Spain ◽  
Ecological Research ◽  
Research Site ◽  
Long Term Ecological Research ◽  
Change Impact
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