viernes, 27 de diciembre de 2019
Where might be many tropical insects?
jueves, 26 de diciembre de 2019
sábado, 21 de diciembre de 2019
Global invasion history of the agricultural pest butterfly Pieris rapae revealed with genomics and citizen science
Ryan et al., 2019
Over the last few thousand years, the seemingly inconspicuous cabbage white butterfly, Pieris rapae,
has become one of the most abundant and destructive butterflies in the
world. Here, we assessed variation at thousands of genetic markers from
butterflies collected across 32 countries by over 150 volunteer
scientists and citizens to reconstruct the global spread of this
agricultural pest. Our results suggest this butterfly spread out from
eastern Europe to occupy every continent except South America and
Antarctica, with the timing of many of these events coinciding with
human activities—migration, trade, and the development of crop cultivars
that serve as food plants for the butterfly larvae. Interestingly, many
of these invasions were hugely successful despite repeated losses of
genetic diversity.
he small cabbage white butterfly, Pieris rapae, is a major
agricultural pest of cruciferous crops and has been introduced to every
continent except South America and Antarctica as a result of human
activities. In an effort to reconstruct the near-global invasion history
of P. rapae, we developed a citizen science project, the
“Pieris Project,” and successfully amassed thousands of specimens from
32 countries worldwide. We then generated and analyzed nuclear
(double-digest restriction site-associated DNA fragment procedure
[ddRAD]) and mitochondrial DNA sequence data for these samples to
reconstruct and compare different global invasion history scenarios. Our
results bolster historical accounts of the global spread and timing of P. rapae
introductions. We provide molecular evidence supporting the hypothesis
that the ongoing divergence of the European and Asian subspecies of P. rapae
(∼1,200 y B.P.) coincides with the diversification of brassicaceous
crops and the development of human trade routes such as the Silk Route
(Silk Road). The further spread of P. rapae over the last ∼160 y
was facilitated by human movement and trade, resulting in an almost
linear series of at least 4 founding events, with each introduced
population going through a severe bottleneck and serving as the source
for the next introduction. Management efforts of this agricultural pest
may need to consider the current existence of multiple genetically
distinct populations. Finally, the international success of the Pieris
Project demonstrates the power of the public to aid scientists in
collections-based research addressing important questions in invasion
biology, and in ecology and evolutionary biology more broadly.
Global invasion history and patterns of genetic structure and diversity of P. rapae. (A) Genetic ancestry assignments based on the program ADMIXTURE. (B) Rooted neighbor-joining tree based on Nei’s genetic distance. (C) Among population genetic differentiation based on Weir and Cockerham’s FST, New Zealand and Australia are treated separately. (D) Graphical illustration of divergence scenario chosen in ABC-RF analysis. (E)
Geographic representation of divergence scenario with the highest
likelihood based on ABC-RF analysis; points are colored based on their
population assignment using ADMIXTURE as in A, and dates
represent median estimates from ABC-RF analysis. All analyses are based
on 558 individuals genotyped for 17,917 ddRADseq SNPs. Explore these
data further through interactive data visualizations
https://www.pnas.org/content/116/40/20015
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viernes, 20 de diciembre de 2019
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El afecto por algo imaginado es el más fuerte de todos
Spinoza
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El afecto por algo imaginado es el más fuerte de todos
Spinoza
.
lunes, 16 de diciembre de 2019
Honey bees as bioindicators of changing global agricultural landscapes
Tyler P, Quigley, Gro V Amdam and Gyan H Harwood
https://bit.ly/2m6VyEe
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Tyler P, Quigley, Gro V Amdam and Gyan H Harwood
Agricultural landscapes are under pressure from climate change, needs for increased productivity, and changing consumer demand.
Land management decisions will affect ecologically important organisms that live on agricultural land and in surrounding areas.
Honey
bees can be useful bioindicators to detect and track changes in
agricultural landscape quality at spatial and temporal scales.
There is a growing need to understand relationships between agricultural
intensification and global change. Monitoring solutions, however, often
do not include pollinator communities that are of importance to
ecosystem integrity. Here, we put forth the honey bee as an economical
and broadly available bioindicator that can be used to assess and track
changes in the quality of agricultural ecosystems. We detail a variety
of simple, low-cost procedures that can be deployed within honey bee
hives to gain generalizable information about ecosystem quality at
multiple scales, and discuss the potential of the honey bee system in
both environmental and ecological bioindication.
https://bit.ly/2m6VyEe
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jueves, 12 de diciembre de 2019
Landscape connectivity explains interaction network patterns at multiple scales
Santos et al., 2019.
https://bit.ly/2k48IkO
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Santos et al., 2019.
Under a metacommunity framework, the spatial configuration of habitat
fragments could determine local community structure. Yet, quantifying
fragment connectivity is challenging, as it depends on multiple
variables at several geographical scales. We assessed the extent to
which fragment connectivity and area explain patterns in interaction
structure among four herbivore guilds and their host plants in a
metacommunity. We propose an integrative connectivity metric including
geographic distance, neighbouring fragment area and similarity in
resource composition as an extension of Hanski's classic metric. We then
used non‐linear models to assess whether fragment connectivity and area
predicted link richness and similarity in link composition. We found
that link richness was always negatively related to connectivity but at
different geographic scales depending on the herbivore guild. In
contrast, while link composition was also related to connectivity, the
direction and strength of this relationship varied among herbivore
guilds and type of link composition (qualitative or quantitative).
Furthermore, focal fragment area was not an important determinant of
interaction diversity in local communities. Our findings emphasize
resource similarity as a novel dimension of fragment connectivity
relevant in explaining interaction diversity patterns in natural trophic
networks.
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lunes, 9 de diciembre de 2019
sábado, 7 de diciembre de 2019
viernes, 6 de diciembre de 2019
Coevolution Creates Complex Mosaics across Large Landscapes
Fernande et al., 2019.
https://bit.ly/2ZiBVHz
.
Fernande et al., 2019.
The spatial distribution of populations can influence the evolutionary
outcome of species interactions. The variation in direction and strength
of selection across local communities creates geographic selection
mosaics that, when combined with gene flow and genomic processes such as
genome duplication or hybridization, can fuel ongoing coevolution. A
fundamental problem to solve is how coevolution proceeds when many
populations that vary in their ecological outcomes are connected across
large landscapes. Here we use a lattice model to explore this problem.
Our results show that the complex interrelationships among the elements
of the geographic mosaic of coevolution can lead to the formation of
clusters of populations with similar phenotypes that are larger than
expected by local selection. Our results indicate that neither the
spatial distribution of phenotypes nor the spatial differences in
magnitude and direction of selection alone dictate coevolutionary
dynamics: the geographic mosaic of coevolution affects formation of
phenotypic clusters, which in turn affect the spatial and temporal
dynamics of coevolution. Because the formation of large phenotypic
clusters depends on gene flow, we predict that current habitat
fragmentation will change the outcomes of geographic mosaics, coupling
spatial patterns in selection and phenotypes.
https://bit.ly/2ZiBVHz
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domingo, 1 de diciembre de 2019
sábado, 30 de noviembre de 2019
A global synthesis reveals biodiversity-mediated benefits for crop production
Dainese et al., 2019
Dainese et al., 2019
Human land use threatens global biodiversity and compromises multiple
ecosystem functions critical to food production. Whether crop
yield–related ecosystem services can be maintained by a few dominant
species or rely on high richness remains unclear. Using a global
database from 89 studies (with 1475 locations), we partition the
relative importance of species richness, abundance, and dominance for
pollination; biological pest control; and final yields in the context of
ongoing land-use change. Pollinator and enemy richness directly
supported ecosystem services in addition to and independent of abundance
and dominance. Up to 50% of the negative effects of landscape
simplification on ecosystem services was due to richness losses of
service-providing organisms, with negative consequences for crop yields.
Maintaining the biodiversity of ecosystem service providers is
therefore vital to sustain the flow of key agroecosystem benefits to
society.
(A)
Map showing the size (number of crop fields sampled) and location of
the 89 studies (further details of studies are given in table S1). (B) Global effect of pollinator richness on pollination (n = 821 fields of 52 studies). (C) Global effect of natural enemy richness on pest control (n
= 654 fields of 37 studies). The thick line in each plot represents the
median of the posterior distribution of the model. Light gray lines
represent 1000 random draws from the posterior. The lines are included
to depict uncertainty of the modeled relationship.
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jueves, 28 de noviembre de 2019
Los campos de trigo no me recuerdan nada y eso me pone triste.
El principito, Antoine de Saint-Exupéry.
El principito, Antoine de Saint-Exupéry.
miércoles, 27 de noviembre de 2019
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Written in the Trees: The Roots of Arborglyphs
"Since earliest times, trees – symbolically anchored in the earth and stretched towards the cosmos – have been inherently connected with human identity.”
Words and symbols carved onto a living tree are sometimes described as ‘arborglyphs’ (derived from arbor ‘tree’; glyphein ‘to carve’), but some people think of it vandalism or ‘tree graffiti’. Whatever the name, tree writing is driven by multifarious social and cultural factors; love, solitude, rivalry, identity, artistry, boredom, or downright bragging.
Arborglyphs are present across many cultures. In Australia the Gamilaroi and Wiradjuri peoples carved ceremonial trees to connect with ancestors. The Scorpion Tree of the Chumash people is thought to be an astrological tool whilst the Moriori people on Chatham Islands carved symbols of the natural world and faces of their ancestors into kopi trees.
As agriculture developed over time carved trees become landscape noticeboards, trail-markers or shelter. For global romantics, the gesture of carving a lover’s initials into a tree appeared as far back as Ovid’s Heroides:
‘The beech trees guard my name, cut there by you;
and I read ‘Oenone’, written there by your knife.
And as the trunk grows, my name grows the same;
grow, and rise straight, in honour of my name!’
https://bit.ly/2yXWCxm
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lunes, 25 de noviembre de 2019
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Utsutsunaki tsumami gokoro no kocho kana
Nothing actual,
the feeling of holding in my fingers
a butterfly.
Yosa Buson
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Utsutsunaki tsumami gokoro no kocho kana
Nothing actual,
the feeling of holding in my fingers
a butterfly.
Yosa Buson
.
sábado, 23 de noviembre de 2019
Mapping the dynamics of research networks in ecology and evolution using co-citation analysis (1975–2015)
Reale et al., 2019.
https://ecoevorxiv.org/dpef4/
.
Reale et al., 2019.
In this paper we used a co-citation network analysis to quantify and
illustrate the dynamic patterns of research in ecology and evolution
over 40 years (1975–2014). We addressed questions about the historical
patterns of development of these two fields. Have ecology and evolution
always formed a coherent body of literature? What ideas have motivated
research activity in subfields, and how long have these ideas attracted
the attention of the scientific community? Contrary to what we expected,
we did not observe any trend towards a stronger integration of ecology
and evolution into one big cluster that would suggest the existence of a
single community. Three main bodies of literature have stayed
relatively stable over time: population/community ecology, evolutionary
ecology, and population/quantitative genetics. Other fields disappeared,
emerged or mutated over time. Besides, research organization has
shifted from a taxon-oriented structure to a concept-oriented one over
the years, with researchers
working on the same topics but on different taxa showing more
interactions.
https://ecoevorxiv.org/dpef4/
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viernes, 22 de noviembre de 2019
Measuring What Matters: Actionable Information for Conservation Biocontrol in Multifunctional Landscapes
Chaplin-Kramer et al., 2019
Chaplin-Kramer et al., 2019
Despite decades of study, conservation biocontrol via manipulation of landscape elements has not become a mainstream strategy for pest control. Meanwhile, conservation groups and governments rarely consider the impacts of land management on pest control, and growers can even fear that conservation biocontrol strategies may exacerbate pest problems. By finding leverage points among these actors, there may be opportunities to align them to promote more widespread adoption of conservation biological control at the landscape-scale. But are ecologists measuring the right things and presenting the right evidence to enable such alignment? We articulate key concerns of growers, conservation groups, and governments with regards to implementing conservation biological control at the landscape scale and argue that if ecologists want to gain more traction, we need to reconsider what we measure, for what goals, and for which audiences. A wider set of landscape objectives that ecologists should consider in our measurements include risk management for growers and co-benefits of multifunctional landscapes for public actors. Ecologists need to shift our paradigm toward longer-term, dynamic measurements, and build cross-disciplinary understanding with socioeconomic and behavioral sciences, to enable better integration of the objectives of these diverse actors that will be necessary for landscape management for conservation biocontrol to achieve its full potential.
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jueves, 21 de noviembre de 2019
miércoles, 20 de noviembre de 2019
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Haruki Murakami
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Las mariposas tienen una gracia encantadora pero también son las
criaturas más efímeras que existen. Nacidas quién sabe dónde, buscan
dulcemente algunas pocas cosas y luego desaparecen silenciosamente en
alguna parte.
Haruki Murakami
.
domingo, 17 de noviembre de 2019
The geographic scaling of biotic interactions
Miguel B. Araújo Alejandro Rozenfeld
Miguel B. Araújo Alejandro Rozenfeld
A central tenet of ecology and biogeography is that the
broad outlines of species ranges are determined by climate, whereas the
effects of biotic interactions are manifested at local scales. While the
first proposition is supported by ample evidence, the second is still a
matter of controversy. To address this question, we develop a
mathematical model that predicts the spatial overlap, i.e.
co‐occurrence, between pairs of species subject to all possible types of
interactions. We then identify the scale of resolution in which
predicted range overlaps are lost. We found that co‐occurrence arising
from positive interactions, such as mutualism (+/+) and commensalism
(+/0), are manifested across scales. Negative interactions, such as
competition (−/−) and amensalism (−/0), generate checkerboard patterns
of co‐occurrence that are discernible at finer resolutions but that are
lost and increasing scales of resolution. Scale dependence in
consumer–resource interactions (+/−) depends on the strength of positive
dependencies between species. If the net positive effect is greater
than the net negative effect, then interactions scale up similarly to
positive interactions. Our results challenge the widely held view that
climate alone is sufficient to characterize species distributions at
broad scales, but also demonstrate that the spatial signature of
competition is unlikely to be discernible beyond local and regional
scales.
Expected co‐occurrence across biotic‐interaction space. Colours on the
top graph indicate the intensity of the predicted co‐occurrence between
species A (y axis) and B (x axis), where increasing gradients of red
indicate increased co‐occurrence and increasing gradients of blue
indicate decreased co‐occurrence. The light gray line indicates the
portion of biotic‐interaction space where co‐occurrence between two
species is no different than expected with the null model. The numbers
on the y and x axes represent interactions (I) of varying signal (+, −,
0) and strength (≥ 0 ≤ 1). The lower scatter diagrams provide examples
of simulated distributions of species A (black) and B (gray), with their
respective co‐occurrence (red), for interactions of varying sign and
strength. Both species have prevalence ρ= 0.3.
.
sábado, 16 de noviembre de 2019
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The man has made the Earth a hell for animals.
Arthur Schopenhauer
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The man has made the Earth a hell for animals.
Arthur Schopenhauer
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jueves, 14 de noviembre de 2019
Sauromatum guttatum parenchyma cell, coloured transmission electron micrograph. Note the cell wall, nucleus with nucleolus, amyloplast with starch grains and mitochondria.
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Effectiveness of agri‐environmental management on pollinators is moderated more by ecological contrast than by landscape structure or land‐use intensity
Marja et al., 2019.
.
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ele.13339
.
Marja et al., 2019.
Agri‐environment management (AEM) started in the 1980s in
Europe to mitigate biodiversity decline, but the effectiveness of AEM
has been questioned. We hypothesize that this is caused by a lack of a
large enough ecological contrast between AEM and non‐treated control
sites. The effectiveness of AEM may be moderated by landscape structure
and land‐use intensity. Here, we examined the influence of local
ecological contrast, landscape structure and regional land‐use intensity
on AEM effectiveness in a meta‐analysis of 62 European pollinator
studies. We found that ecological contrast was most important in
determining the effectiveness of AEM, but landscape structure and
regional land‐use intensity played also a role. In conclusion, the most
successful way to enhance AEM effectiveness for pollinators is to
implement measures that result in a large ecological improvement at a
local scale, which exhibit a strong contrast to conventional practices
in simple landscapes of intensive land‐use regions.
.
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ele.13339
.
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The beauty of a flower comes from its roots
Ralph Waldo Emerson
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The beauty of a flower comes from its roots
Ralph Waldo Emerson
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jueves, 7 de noviembre de 2019
A global synthesis reveals biodiversity-mediated benefits for crop production
Dainese et al., 2019.
https://advances.sciencemag.org/content/5/10/eaax0121/tab-pdf
.
Dainese et al., 2019.
Human land use threatens global biodiversity and compromises multiple ecosystem functions critical to food production. Whether crop yield–related ecosystem services can be maintained by a few dominant species or rely on high richness remains unclear. Using a global database from 89 studies (with 1475 locations), we partition the relative importance of species richness, abundance, and dominance for pollination; biological pest control; and final yields in the context of ongoing land-use change. Pollinator and enemy richness directly supported ecosystem services in addition to and independent of abundance and dominance. Up to 50% of the negative effects of landscape simplification on ecosystem services was due to richness losses of service-providing organisms, with negative consequences for crop yields. Maintaining the biodiversity of ecosystem service providers is therefore vital to sustain the flow of key agroecosystem benefits to society.
Distribution of analyzed studies and effects of richness on ecosystem services provisioning. (A) Map showing the size (number of crop fields sampled) and location of the 89 studies (further details of studies are given in table S1). (B) Global effect of pollinator richness on pollination (n = 821 fields of 52 studies). (C) Global effect of natural enemy richness on pest control (n = 654 fields of 37 studies). The thick line in each plot represents the median of the posterior distribution of the model. Light gray lines represent 1000 random draws from the posterior. The lines are included to depict uncertainty of the modeled relationship.
https://advances.sciencemag.org/content/5/10/eaax0121/tab-pdf
.
Deforestation for the expansion of mechanized agriculture and cattle ranching (17°23'15.7"S, 60°33'43.6"W)
Via: Anne-Marie Clark
Via: Anne-Marie Clark
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There's a whisper on the night-wind, there's a star agleam to guide us,
And the Wild is calling, calling . . . let us go.
Robert William Service
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There's a whisper on the night-wind, there's a star agleam to guide us,
And the Wild is calling, calling . . . let us go.
Robert William Service
.
miércoles, 30 de octubre de 2019
A mutualistic interaction between Streptomyces bacteria, strawberry plants and pollinating bees
Kim et al., 2019.
Microbes can establish mutualistic interactions with plants and insects. Here we track the movement of an endophytic strain of Streptomyces bacteria throughout a managed strawberry ecosystem. We show that a Streptomyces
isolate found in the rhizosphere and on flowers protects both the plant
and pollinating honeybees from pathogens (phytopathogenic fungus Botrytis cinerea and pathogenic bacteria, respectively). The pollinators can transfer the Streptomyces bacteria among flowers and plants, and Streptomyces
can move into the plant vascular bundle from the flowers and from the
rhizosphere. Our results present a tripartite mutualism between Streptomyces, plant and pollinator partners.
Microbial diversity of strawberry flowers and pollen. a Pyrosequencing of microbes in strawberry flowers (n = 9, 13 independent experiments) and b pollen (n = 2, 9 independent experiments). Taxonomic assignment was conducted at the family level with the Silva database (http://www.arb-silva.de/)
and a cutoff of 97% similarity. Flower and pollen samples were
collected from November 2013 (0 week) to March 2014 (24 week). Heatmap
of hierarchical clustering of bacterial communities by 16S rRNA region. c Flower samples and d pollen samples. Heatmap color (purple to yellow) displayed from low to high abundance of each OTU. e Beta diversity tree (Minkowski distance) of samples with gray mold disease incidence. f Venn diagram of common OTU numbers in flower and pollen samples during the period of low gray mold disease incidence. g Gray mold incidence over a growing season as related to Streptomyces
OTU read numbers. Gray mold incidence, bars represent standard error of
nine blocks, each block contains 150 plants. Star (*) indicates
statistically significant differences between disease incidence and OTU
numbers of Streptomyces globisporus NRRL B-2872, which is identical to SP6C4 and SF7B6 by t-test (P value < 0.05). Bars represent standard error. a, b, e, f, g Source data are provided as a Source Data file.
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martes, 22 de octubre de 2019
domingo, 20 de octubre de 2019
Rain downpours affect survival and development of insect herbivores: the specter of climate change?
Chen et al., 2019.
Chen et al., 2019.
Changes in the frequency, duration and intensity of rainfall events are
among the abiotic effects predicted under anthropogenic global warming.
Heavy downpours may profoundly affect the development and survival of
small organisms such as insects. Here, we examined direct (physically on
the insects) and indirect (plant‐mediated) effects of simulated
downpours on the performance of caterpillars of two lepidopteran
herbivores (Plutella xylostella and Pieris brassicae) feeding on black mustard (Brassica nigra)
plants. Host plants were exposed to different rainfall regimes both
before and while caterpillars were feeding on the plants in an attempt
to separate direct and indirect (plant‐mediated) effects of rainfall on
insect survival and development. In two independent experiments,
downpours were simulated as a single long (20 min) or as three short (5
min) daily events. Downpours had a strong negative direct effect on the
survival of P. xylostella, but not on that of P. brassicae.
Direct effects of downpours consistently increased development time of
both herbivore species, whereas effects on body mass depended on
herbivore species and downpour frequency. Caterpillar disturbance by
rain and recorded microclimatic cooling by 5 °C may explain extended
immature development. Indirect, plant‐mediated effects of downpours on
the herbivores were generally small, despite the fact that sugar
concentrations were reduced and herbivore induction of secondary
metabolites (glucosinolates) was enhanced in plants exposed to rain.
Changes in the frequency of precipitation events due to climate change
may impact the survival and development of insect herbivores
differentially. Broader effects of downpours on insects and other
arthropods up the food chain could seriously impair and disrupt trophic
interactions, ultimately destabilizing communities.
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viernes, 18 de octubre de 2019
martes, 15 de octubre de 2019
lunes, 14 de octubre de 2019
Some theoretical notes on agrobiodiversity: spatial heterogeneity and population interactions
Diego Griffon & Maria-Josefina Hernandez
Ecological interactions are fundamental in ecological pest management,
and these interactions form networks. The properties of these networks,
where interactions of all possible nature (positive, neutral, negative)
coexist, are key for management, but little is known about them. The
main reasons for this lack of knowledge are the difficulties in
obtaining empirical evidence. These problems may be partially bypassed
using a theoretical approach. Here, by means of mathematical models that
represent networks of ecological interactions in agroecosystems, we
characterize some architectural features that promote the
self-regulation of population densities in these networks. The results
show that the key features are: spatial heterogeneity and a high
proportion of positive interactions.
Biodiversity and spatial heterogeneity strongly benefit agricultural landscapes. Among others, these benefits are related to population regulation of organisms that feed on cultivated plants (Duflot et al. 2015; Fahrig et al. 2011; Letourneau et al. 2011; Rusch et al. 2016, 2010; Tscharntke et al. 2002, 2012; Vandermeer 1989). However, there is a need for further theoretical development to help us understand the processes behind these empirical observations, particularly from a mechanistic point of view. In a very general sense, in the agroecological literature it is proposed that increasing agricultural biodiversity involves an increase in the number of trophic interactions of the ecological community, which in turn promotes the stability of the whole system (Altieri 1983; Altieri and Nicholls 2000, 2004; Nicholls and Altieri 2002). On the other hand, we acknowledge that the ecological evidence concerning the relationship between the number of species (richness) and the number of trophic interactions in natural ecosystems is ambiguous (Hall and Raffaelli 1997) and, that from a theoretical point of view, the relationship between complexity and stability is an issue far from resolved (Allesina and Tang 2015; Bersier 2007; Ings et al. 2009; Namba 2015). However, when it comes to contrasting a monoculture with a multidiverse agroecosystem, these topics may have clearer answers (Griffon and Hernández 2014; Griffon and Rodríguez 2017; Rusch et al. 2016, 2010; Tscharntke et al. 2012).
In a conventional monoculture, the system is explicitly designed and managed to reduce as much as possible the unplanned associated biodiversity(typically by using insecticides, herbicides, etc.). Paradoxically this may contribute(among other things) to the long term establishment of phytophagous organisms in the system, eradicating at the same time their biological controllers (Jonsson et al. 2015; Landis, Wratten, and Gurr 2000; Levins and Vandermeer 1990). In this type of farming system most species are related directly to one (the monoculture) by a victim-exploiter relationship (i.e., predation, parasitism, parasitoidism and herbivory), where the monoculture species (the crop) typically plays the role of the victim. So, the system has a star-like architecture (i.e., many nodes connected to a central hub) with the monoculture in the center (Griffon and Torres-Alruiz 2008), which is a structure that favours the occurrence of pest situations and crops losses (Griffon and Hernández 2014; Griffon and Rodríguez 2017).
Alternatives to the ecological oversimplification of monocultures are companion crops. One of the aims of this cropping strategy is the population regulation of phytophagous and phytopathogenic species by means of ecological interactions (Altieri and Nicholls 2004). The success of this approach not only depends on the occurrence of a more complex trophic web, but also on the occurrence of other ecological interactions (competition, mutualism, amensalism and commensalism) that together make up the ecological network system, i.e., a network consisting of all types of ecological interactions (Ings et al. 2009). We have very little information on the structure of ecological networks (Pocock et al. 2012) and we also lack knowledge on how ecological networks promote the regulation of phytophagous population densities. Given the need of information, coupled with the difficulty and effort involved in achieving it in the field, this paper addresses the issue from a theoretical perspective. In order to do this, we build and numerically evaluate mathematical models that simulate networks of hypothetical ecological interactions associated with agricultural ecosystems. This is done with the objective of finding patterns that can provide guidelines on architectural features associated with self-regulation in populations.
Another related topic must be considered. There is abundant field information that shows the positive effects of spatial heterogeneity (Batáry et al. 2011; Duflot et al. 2015; Fahrig 2013; Fahrig et al. 2011, 2015; Jonsson et al. 2015; Landis, Wratten, and Gurr 2000; Rusch et al. 2016; Tscharntke et al. 2012; Tuck et al. 2014) on the maintenance of associated agricultural biodiversity (sensu Vandermeer and Perfecto 1995; Altieri et al. 2005). In some cases, space heterogeneity may even play a more important role than intra-farm diversity in the regulation of phytophagous population densities (Fahrig et al. 2011, 2015). But surely the two components (intra and inter farm diversity) relate synergistically.
For the spatial heterogeneity to have a positive effect on the internal dynamics of agroecosystems it is necessary, on the one hand, an insidefarm design that attracts biological controllers (e.g., flower strips or beetle banks) (Altieri, Ponti, and Nicholls 2005; Nicholls and Altieri 2002) and on the other, the existence of nearby sources of organisms with enough internal complexity to provide the necessary control agents (Rusch et al. 2016, 2010; Tscharntke et al. 2012).
So, metapopulation and metacommunity dynamics seem to be crucial for the long term survival of species in heterogeneous environments (Alfonzo et al. 2009; Aberg et al. 1995; Cantrell, Cosner, and Fagan 1998; Delin and Andren 1999; Griffon, Alfonzo, and Hernandez 2010; Griffon and Hernández 2014; Gustafson and Gardner 1996; Perfecto, Vandermeer, and Wright 2009; Sisk, Haddad, and Ehrlich 1997; Tejat et al. 2002; Vandermeer and Carvajal 2001; Vandermeer and Perfecto 2007). In general terms, the spatial structure of populations, along with processes of dispersal, migration and colonization, allows the emergence of dynamics that make possible the persistence and coexistence of species (Hanski 1994, 1998; Hanski and Gilpin 1997; Hanski et al. 1996; Leibold et al. 2004). Thus, spatial heterogeneity may enhance the configuration of the complex ecological networks needed for a successful ecological pest management program (Batáry et al. 2011; Fahrig et al. 2011; Rusch et al. 2016, 2010; Tejat et al. 2002; Tscharntke et al. 2002, 2012). For this reason, in the mathematical approach used here we also include the effect of spatial heterogeneity on population dynamics.
In short, the objective of this work is to find architectural features that promote the self-regulation of population densities in ecological networks associated to agroecosystems. To do this, we built mathematical models that represent ecological networks, both for a single community and for metacommunitarian systems. We must make clear that whenever we say ‘ecological network’, we are considering the potential presence of ‘all’ types of interactions, i.e., competition, mutualism, victim-exploiter, amensalism and commensalism.
Biodiversity and spatial heterogeneity strongly benefit agricultural landscapes. Among others, these benefits are related to population regulation of organisms that feed on cultivated plants (Duflot et al. 2015; Fahrig et al. 2011; Letourneau et al. 2011; Rusch et al. 2016, 2010; Tscharntke et al. 2002, 2012; Vandermeer 1989). However, there is a need for further theoretical development to help us understand the processes behind these empirical observations, particularly from a mechanistic point of view. In a very general sense, in the agroecological literature it is proposed that increasing agricultural biodiversity involves an increase in the number of trophic interactions of the ecological community, which in turn promotes the stability of the whole system (Altieri 1983; Altieri and Nicholls 2000, 2004; Nicholls and Altieri 2002). On the other hand, we acknowledge that the ecological evidence concerning the relationship between the number of species (richness) and the number of trophic interactions in natural ecosystems is ambiguous (Hall and Raffaelli 1997) and, that from a theoretical point of view, the relationship between complexity and stability is an issue far from resolved (Allesina and Tang 2015; Bersier 2007; Ings et al. 2009; Namba 2015). However, when it comes to contrasting a monoculture with a multidiverse agroecosystem, these topics may have clearer answers (Griffon and Hernández 2014; Griffon and Rodríguez 2017; Rusch et al. 2016, 2010; Tscharntke et al. 2012).
In a conventional monoculture, the system is explicitly designed and managed to reduce as much as possible the unplanned associated biodiversity(typically by using insecticides, herbicides, etc.). Paradoxically this may contribute(among other things) to the long term establishment of phytophagous organisms in the system, eradicating at the same time their biological controllers (Jonsson et al. 2015; Landis, Wratten, and Gurr 2000; Levins and Vandermeer 1990). In this type of farming system most species are related directly to one (the monoculture) by a victim-exploiter relationship (i.e., predation, parasitism, parasitoidism and herbivory), where the monoculture species (the crop) typically plays the role of the victim. So, the system has a star-like architecture (i.e., many nodes connected to a central hub) with the monoculture in the center (Griffon and Torres-Alruiz 2008), which is a structure that favours the occurrence of pest situations and crops losses (Griffon and Hernández 2014; Griffon and Rodríguez 2017).
Alternatives to the ecological oversimplification of monocultures are companion crops. One of the aims of this cropping strategy is the population regulation of phytophagous and phytopathogenic species by means of ecological interactions (Altieri and Nicholls 2004). The success of this approach not only depends on the occurrence of a more complex trophic web, but also on the occurrence of other ecological interactions (competition, mutualism, amensalism and commensalism) that together make up the ecological network system, i.e., a network consisting of all types of ecological interactions (Ings et al. 2009). We have very little information on the structure of ecological networks (Pocock et al. 2012) and we also lack knowledge on how ecological networks promote the regulation of phytophagous population densities. Given the need of information, coupled with the difficulty and effort involved in achieving it in the field, this paper addresses the issue from a theoretical perspective. In order to do this, we build and numerically evaluate mathematical models that simulate networks of hypothetical ecological interactions associated with agricultural ecosystems. This is done with the objective of finding patterns that can provide guidelines on architectural features associated with self-regulation in populations.
Another related topic must be considered. There is abundant field information that shows the positive effects of spatial heterogeneity (Batáry et al. 2011; Duflot et al. 2015; Fahrig 2013; Fahrig et al. 2011, 2015; Jonsson et al. 2015; Landis, Wratten, and Gurr 2000; Rusch et al. 2016; Tscharntke et al. 2012; Tuck et al. 2014) on the maintenance of associated agricultural biodiversity (sensu Vandermeer and Perfecto 1995; Altieri et al. 2005). In some cases, space heterogeneity may even play a more important role than intra-farm diversity in the regulation of phytophagous population densities (Fahrig et al. 2011, 2015). But surely the two components (intra and inter farm diversity) relate synergistically.
For the spatial heterogeneity to have a positive effect on the internal dynamics of agroecosystems it is necessary, on the one hand, an insidefarm design that attracts biological controllers (e.g., flower strips or beetle banks) (Altieri, Ponti, and Nicholls 2005; Nicholls and Altieri 2002) and on the other, the existence of nearby sources of organisms with enough internal complexity to provide the necessary control agents (Rusch et al. 2016, 2010; Tscharntke et al. 2012).
So, metapopulation and metacommunity dynamics seem to be crucial for the long term survival of species in heterogeneous environments (Alfonzo et al. 2009; Aberg et al. 1995; Cantrell, Cosner, and Fagan 1998; Delin and Andren 1999; Griffon, Alfonzo, and Hernandez 2010; Griffon and Hernández 2014; Gustafson and Gardner 1996; Perfecto, Vandermeer, and Wright 2009; Sisk, Haddad, and Ehrlich 1997; Tejat et al. 2002; Vandermeer and Carvajal 2001; Vandermeer and Perfecto 2007). In general terms, the spatial structure of populations, along with processes of dispersal, migration and colonization, allows the emergence of dynamics that make possible the persistence and coexistence of species (Hanski 1994, 1998; Hanski and Gilpin 1997; Hanski et al. 1996; Leibold et al. 2004). Thus, spatial heterogeneity may enhance the configuration of the complex ecological networks needed for a successful ecological pest management program (Batáry et al. 2011; Fahrig et al. 2011; Rusch et al. 2016, 2010; Tejat et al. 2002; Tscharntke et al. 2002, 2012). For this reason, in the mathematical approach used here we also include the effect of spatial heterogeneity on population dynamics.
In short, the objective of this work is to find architectural features that promote the self-regulation of population densities in ecological networks associated to agroecosystems. To do this, we built mathematical models that represent ecological networks, both for a single community and for metacommunitarian systems. We must make clear that whenever we say ‘ecological network’, we are considering the potential presence of ‘all’ types of interactions, i.e., competition, mutualism, victim-exploiter, amensalism and commensalism.
Species
survivals. Initial richness, for six different initial conditions
(defined in Fig 3). Blue: survival percentage in one community (no
spatial heterogeneity). Grey: survival percentage of one community in a
metacommunitarian background. The curves are averages of 40 simulations
for each initial condition.
Uniform
perturbation (example). A persistent network obtained under the
20:10:10:60 initial condition is perturbed by a little increase in the
densities of each population. Left: dynamics after the perturbation. Two
populations reach very low (but non zero) densities. Right: network
before and after the perturbation. Notice that both networks are the
same.
The more relevant results of the models evaluated and discussed in this article can be summarized as follows: (i) The conditions under which persistent networks are obtained after the iterative process are very restricted. However, when persistent networks are obtained, they are fundamentally resilient to perturbations. (ii) Mutualistic (and positive in general) interactions have an important and extensive effect under certain (very specific) conditions. (iii) Spatial heterogeneity increases the possibility of persistence in hypothetical communities. (iv) Ecological interactions that somehow have been neglected in the past (commensalism and amensalism, the forgotten sisters), may be: 1- More frequent than generally thought, and 2- Important for the persistence of communities.
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sábado, 12 de octubre de 2019
viernes, 11 de octubre de 2019
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O insects
don't you complain too!
this autumn
Issa, 1820
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don't you complain too!
this autumn
Issa, 1820
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jueves, 10 de octubre de 2019
Turning toxic - The Bayer-Monsanto merger
lunes, 7 de octubre de 2019
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La simplicidad es la máxima sofisticación.
Leonardo Da Vinci
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La simplicidad es la máxima sofisticación.
Leonardo Da Vinci
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sábado, 5 de octubre de 2019
Göbekli Tepe
Göbekli Tepe
Un lugar significativo en la historia de la agricultura según Yuval Noah Harari.
Yuval Noah Harari. Sapiens: De animales a dioses: Una breve historia de la humanidad. https://amzn.to/2Oqd3M2
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Un lugar significativo en la historia de la agricultura según Yuval Noah Harari.
"En 1995, los arqueólogos empezaron a excavar una localidad del sudeste de Turquía llamada Göbekli Tepe. En el estrato más antiguo no descubrieron ninguna señal de una aldea, de casas o de actividades diarias. Sin embargo, encontraron estructuras columnares monumentales decoradas con grabados espectaculares. Cada columna de piedra pesaba hasta 7 toneladas y alcanzaba una altura de 5 metros. En una cantera cercana encontraron una columna a medio cincelar que pesaba 50 toneladas. En total, descubrieron más de 10 estructuras monumentales, la mayor de las cuales medía casi 30 metros.
Los arqueólogos están familiarizados con estas estructuras monumentales de localidades de todo el mundo; el ejemplo más conocido es Stonehenge, en Gran Bretaña. Pero cuando estudiaron Göbekli Tepe descubrieron algo sorprendente. Stonehenge se remonta a 2500 a.C., y fue construido por una sociedad agrícola desarrollada. Las estructuras de Göbekli Tepe están datadas hacia 9500 a.C., y todos los indicios disponibles señalan que fueron construidas por cazadores-recolectores. La comunidad arqueológica no daba crédito a estos hallazgos, pero una prueba tras otra confirmaron la fecha temprana de las estructuras y la sociedad preagrícola de sus constructores. Las capacidades de los antiguos cazadores-recolectores, y la complejidad de sus culturas, parece que fueron mucho más impresionantes de lo que se sospechaba en un principio.
¿Por qué habría de construir estructuras de este tipo una sociedad de cazadores-recolectores? No tenían ningún propósito utilitario evidente. No eran ni mataderos de mamuts ni lugares en los que resguardarse de la lluvia o esconderse de los leones. Esto nos deja con la teoría de que fueron construidas con algún propósito cultural misterioso que los arqueólogos se esfuerzan en descifrar. Fuera lo que fuese, los cazadores-recolectores creyeron que valía la pena dedicarles una enorme cantidad de esfuerzo y de tiempo. La única manera de construir Göbekli Tepe era que miles de cazadores-recolectores pertenecientes a bandas y tribus diferentes cooperaran a lo largo de un período de tiempo prolongado. Solo un sistema religioso o ideológico complejo podía sostener tales empresas.
Göbekli Tepe contenía otro secreto sensacional. Durante muchos años, los genetistas han estado siguiendo la pista del trigo domesticado. Descubrimientos recientes indican que al menos una variante domesticada (el trigo carraón) se originó en las colinas de Karacadag, a unos 30 kilómetros de Göbekli Tepe.
Es difícil que esto sea una coincidencia. Es probable que el centro cultural de Göbekli Tepe estuviera de algún modo relacionado con la domesticación inicial del trigo por la humanidad y de la humanidad por el trigo. Con el fin de dar de comer a las gentes que construyeron y usaron las estructuras monumentales, se necesitaban cantidades de alimento particularmente grandes. Bien pudiera ser que los cazadores-recolectores pasaran de recolectar trigo silvestre a un cultivo intensivo de trigo, no para aumentar sus recursos alimentarios normales, sino más bien para sostener la construcción y el funcionamiento de un templo. En la imagen convencional, los pioneros primero construían una aldea y, cuando esta prosperaba, establecían un templo en el centro de la misma. Pero Göbekli Tepe sugiere que primero pudo haberse construido el templo, y que posteriormente a su alrededor creció una aldea."
Yuval Noah Harari. Sapiens: De animales a dioses: Una breve historia de la humanidad. https://amzn.to/2Oqd3M2
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