Ecological Complexity最新文献

Climate change is a grave danger for humans and a looming threat to Earth's biodiversity in the twenty-first century. Assessing the vulnerability of species to climate change is critical for practical conservation efforts. Due to their limited dispersal ability, amphibians are one of the most vulnerable groups of vertebrates to climate change. Among them, the species that inhabit mountains suffer a tremendous amount of climate change-induced pressures. We, therefore, adopted the Azerbaijan Mountain Newt (Neurergus crocatus), which currently inhabits Northwest Iran, North Iraq, and Southeast Turkey, as a case study for assessing the effects of climate change on the distribution patterns of mountain amphibians. By applying the species distribution models (SDMs) in this study, we tried to hindcast the species distribution area in the past and illustrate the impacts of climate change on its distribution in the present and future (the 2050s and 2070s) climate conditions. Also, the patch metrics have been deployed for identifying habitat fragmentation. Our results indicate a more than 50% rise in the species’ current suitable habitats compared to its glacial refugia. The suitable habitat is expected to gradually decrease in RCP 2.6 and RCP 8.5. Among the three countries in which the species occurs, its distribution overlaps with protected areas only in Iraq. The number of habitat patches will grow and reach approximately 20 to 60 patches by 2070 and the average area of the patches will decrease throughout this time. Aside from the numerous threats that endanger the species, climate change puts the long-term existence of Azerbaijan Newt in jeopardy. The results of this study stress the urgent need for taking extreme measures on the species management and conserving its remnant habitat patches.

The interest in understanding the climate-life system that has fostered the Gaia hypothesis (GH) has resulted in multiple explanatory theories, making its status unclear and controversial. This work seeks to bring some clarity to the debates surrounding the GH with the aim to make it amenable to scientific scrutiny. We discuss what it means to take the GH at face value and its implications for a potential research programme we call ‘functional climatology’.

Plant diseases are among the major causes of the low productivity of crops, causing yield losses of up to 30%, heralding an enormous threat to global food security. Indiscriminate use of chemical-based fungicides for controlling fungal diseases has raised severe concerns about ecosystem health. Moreover, pathogens have become insensitive against these chemicals necessitating excessive use of chemicals for adequate control. The resulting accumulation of these chemicals in the food chain has provoked numerous health complications. For combating the adversaries of chemical-based fungicides, biological control of fungal pathogens is proposed as an eco-friendly alternative. Among various biological controls, Trichoderma-based biological control agents (BCAs) are widely used in agriculture for controlling soil-borne pathogens. These BCAs are commercialized and known as; stimulators of resistance in plants, growth enhancers, bio-fertilizers, and bio-pesticides. Biological management of plant pathogens has yielded valuable results in the sustainability of ecosystems and compelling improvements in the quality and quantity of agricultural produce. These BCAs exhibit potential against pathogens, remarkably improve photosynthesis, plant growth, and nutrient use efficiency for impressive crop yields. Despite these peculiarities, Trichoderma's mechanisms against pathogens and their growth promotional effects are not thoroughly investigated, hence formulating the prime objective of the current review. Along with these, Trichoderma-based fungicides marketed in different geographical locations are encompassed in this review. Finally, the knowledge gaps and future research directions for improving the efficacy of Trichoderma-based BCAs are discussed.

The Rosenzweig-MacArthur predator-prey model is the building block in modeling food chain, food webs and ecosystems. There are a number of hidden assumptions involved in the derivation. For instance the prey population growth is logistic without predation but also with predation. In order to reveal these we will start with modelling a resource-predator-prey system in a closed spatially homogeneous environment. This allows us to keep track of the nutrient flow. With an instantaneous remineralisation of the products excreted in the environment by the populations and dead body mass there is conservation of mass. This allows for a model dimension reduction and yields the mass balance predator-prey model. When furthermore the searching and handling processes are much faster that the population changing rates, the trophic interaction is described by a Holling type II functional response, also assumed in the Rosenzweig-MacArthur model. The derivation uses an extended deterministic model with number of searching and handling predators as model variables where the ratio of the predator/prey body masses is used as a mechanistic time-scale parameter. This extended model is also used as a starting point for the derivation of a stochastic model. We will investigate the stochastic effects of random switching between searching and handling of the predators and predator dying. Prey growth by consumption of ambient resources is still deterministic and therefore the stochastic model is hybrid. The transient dynamics is studied by numerical Monte Carlo simulations and also the quasi-equilibrium distribution for the population quantities is calculated. The body mass of the prey individual is the scaling parameter in the stochastic model formulation. This allows for a quantification of the mean-field approximation criterion for the justification of replacement of the stochastic by a deterministic model.

Environmental interactions and the effects of such interactions on the evolution of genome attributes is an intriguing area of ongoing research. Several earlier studies have delved into how the genome size (GS) and the guanine-cytosine content (GC) of genomes are shaped by species’ ecology while largely disregarding other genome attributes, such as number of chromosomes (CR), number of genes (GE), and protein count (PC) from such comparisons. The present study was designed at understanding the influence of ecology––climate, habitat, and depth––on genome attributes by using the most current data on 579 whole fish genomes available at NCBI. Given the diverse and intricate roles of GS and GC in species adaptations to temperature, salinity, and hydrostatic pressure, the focus was on finding if and how the genomes responded to these stressors and if any common patterns existed in the genome-level responses. Our analyses exhibited some significant and intriguing trends for fishes as a whole while indicating strong effects of ecology on GS, GC, CR, and PC. Also, some very unique trends were observed on regressing GS and GC values across temperature, salinity, and depth clines. Accordingly, a very strong decline in the GS and a concomitant increase in GC were observed in species through the tropics/sub tropics to the temperate/poles, from freshwater to the marine habitats, and from the pelagic to bathydemersal depths. Observed patterns strongly support the notion that smaller GS and larger GC are associated with species inhabiting more stable environments and vice versa. The results also signify the effect of these patterns on protein flexibility and its role in tolerating stressful conditions. Observed patterns are discussed in the light of latitudinal biodiversity gradient, habitat complexity, and energy and metabolic expenditure hypothesis.

Grassland degradation has been one of the major ecological concerns on the Qinghai-Tibet Plateau (QTP) in recent years, but the degradation of alpine shrub meadows, and in particular the changes in its surface landscape pattern, has been less well assessed. This study selected a warm-season pasture on the QTP as a study area, and used an unmanned aerial vehicle (UAV) to collect aerial photographs along the degradation gradient from late June to early July 2018. We then classified the surface landscape as alpine shrub, alpine meadow, bare soil and plateau pika hole and analyzed the landscape pattern changes at different degradation levels. The results showed that the alpine shrub and alpine meadow dominated landscape degraded to a pattern of alpine meadow and bare soil dominance and pika hole pervasiveness, during which vegetation cover declined and the overall landscape pattern tended to fragment. Landscape pattern characteristics related to the area, density, connectivity and boundaries respond more clearly to the shrub degradation, with moderate degradation being the key stage at which the surface landscape pattern changes dramatically. Our study demonstrates a potential application of UAV technology in the study of grassland degradation. Future research should focus on the status, mechanisms and ecological effects of alpine shrub meadows degradation and the quantitative relationships between surface landscape patterns and ecological functions.

The growing interest in ecosystem services is mainly related to land use changes. The aim of the study is to analyse spatial-temporal changes in the capacity to supply of ES in Lithuania based on land use changes in 1990–2018. The results show some balance between loss and gains of ecosystem services capacity due to land use changes. Decrease in heterogenous agricultural areas had negative impact on provision of ecosystem integrity and services. Considerable increase in scrubland and herbaceous vegetation areas significantly increased the ecosystem service potential. The conversion of former agricultural land to less intensively managed ecosystems enhance the potential of valuable habitats for biodiversity and ecosystem services associated with natural grasslands, moors and heathland, transitional woodland shrubs. The urbanization process along with increase in urban fabric areas had little effect on ESs potential since artificial vegetated areas had compensated the loss of ESs due to increased areas of urbanized ecosystems. Despite the area of open spaces slightly increased, this led to decrease of provision of ESs. Temporal changes in overall ESs capacity indicated an increase in Lithuania over the last two decades. Given the observed dynamic context of land cover, the structure of ecosystem services may face potential threats from land use change due to urban development and agricultural activities.

The patch-corridor-matrix is the most commonly used model when dealing with landscape characterization studies, but it shows relevant limitations to detect landscape heterogeneity. Other authors have used a functional approach, since it is well known that nutrient, mineral and energy flows exist among ecosystems. These flows can be perceived in boundaries between different landcovers, making possible the identification of spatial units sharing a common pattern of ecological interactions known as mosaics. While the influence of each mosaic over a certain species has been previously addressed, no attention has been given to the intra-mosaic variation. The aim of this research is to assess the influence of functional diversity and connectivity, on the habitat suitability of the Iberian lynx (Lynx pardinus). For this, we built two GLMs to test if these features show a differential effect on lynxes’ habitat suitability depending on the mosaic. Both GLMs built show that the influence of these landscape features on lynxes’ habitat suitability depends on the landscape spatial organization and landcover composition, suggesting that there is no unique response of a species to changes in landscape diversity and/or connectivity. Thus, we conclude that considering both landscape and species features would allow to a better integration of land management strategies and conservation actions, which could favor species adaptation to highly human-modified landscapes.

A novel coronavirus is a serious global issue and has a negative impact on the economy of Egypt. According to the publicly reported data, the first case of the novel corona virus in Egypt was reported on 14 February 2020. Total of 96753 cases were recorded in Egypt from the beginning of the pandemic until the eighteenth of August, where 96, 581 individuals were Egyptians and 172 were foreigners. Recently, many mathematical models have been considered to better understand coronavirus infection. Most of these models are based on classical integer-order derivatives which can not capture the fading memory and crossover behavior found in many biological phenomena. Therefore, we study the coronavirus disease in this paper by exploring the dynamics of COVID-19 infection using new variable-order fractional derivatives. This paper presents an optimal control problem of the hybrid variable-order fractional model of Coronavirus. The variable-order fractional operator is modified by an auxiliary parameter in order to satisfy the dimensional matching between the both sides of the resultant variable-order fractional equations. Existence, uniqueness, boundedness, positivity, local and global stability of the solutions are proved. Two control variables are considered to reduce the transmission of infection into healthy people. To approximate the new hybrid variable-order operator, Grünwald-Letnikov approximation is used. Finite difference method with a hybrid variable-order operator and generalized fourth order Runge-Kutta method are used to solve the optimality system. Numerical examples and comparative studies for testing the applicability of the utilized methods and to show the simplicity of these approximation approaches are presented. Moreover, by using the proposed methods we can concluded that, the model given in this paper describes well the confirmed real data given by WHO about Egypt.