Climate Relationships Research Articles

Insomnia and quality of life of prisoners at a Nigerian maximum-security prison.

This study aims to determine the prevalence of insomnia as well as its association with the quality of life of the inmates in a Nigerian prison. Prisoners are a disadvantaged group of people whose needs are often unmet. Many authors have focussed on investigating the prevalence and pattern of psychiatric morbidity, as well as substance use among prisoners. However, sleep disorders, which can predispose or precipitate psychiatric disorders, have been largely neglected in research. The relationship between insomnia and quality of life (QoL) among the general population has been documented but similar investigations have yet to be conducted among the prisoner population. This was a cross-sectional study with 300 male prisoners at the Ibara prison, Abeokuta, Nigeria who were not diagnosed with depressive, generalized anxiety or post-traumatic stress disorders. Each respondent was interviewed with a sociodemographic proforma, Insomnia module of the Schedule for Clinical Assessment in Neuropsychiatry and the brief World Health Organisation Quality of Life questionnaire. About half of the respondents (45.7%) met diagnostic criteria for insomnia. A diagnosis of insomnia and some sleep-related variables were significantly associated with QoL. All the possible correlates of insomnia could not be investigated. Further research should be conducted to identify more correlates and investigate the impact of insomnia on prisoners' lives. Improvement of prison climate (relationships in prison, safety and order, contact with the outside world, facilities, meaningful activities and autonomy) may mitigate insomnia among prisoners. Prison psychiatry in Nigerian correctional centres should be made a priority. The findings have brought to light the need to address the current social welfare system in place for Nigerian correctional centres. The study provided information on the prevalence of insomnia and poor QoL among prisoners in a Nigerian correctional facility.

Human augmentation of historical red pine fire regimes in the Boundary Waters Canoe Area Wilderness

AbstractThe Border Lakes Region of Minnesota and Ontario has long been viewed as a fire‐dependent ecosystem. High‐severity fire in the region's near‐boreal forests has been a focus of ecological research and public fascination. However, the surface fire history within this transnational wilderness landscape has received more limited attention. We used an interdisciplinary, dendroecological approach to characterize the surface fire history of the region, assess potential drivers of historical surface fires, and document the ecological legacies of frequent fires within the red pine forests of the Boundary Waters Canoe Area Wilderness (BWCAW) in northern Minnesota. We used tree‐ring and fire atlas data to reconstruct multi‐century surface fire records for 101 sites and document age structure and composition at 32 sites across the BWCAW. Stratification of these sites relative to their proximity to a primary travel and trade corridor used first by Indigenous groups and later by Euro‐American fur traders through the late 1800s provided strong evidence of human augmentation of fires. The patterns of fire activity, fire–climate relationships, and forest development indicate that traditional landuse by Anishinaabeg (Ojibwe) increased rates of local surface fire and played an important role in shaping the landscape. The decline of traditional subsistence practices by the Border Lakes Anishinaabeg coincided with a sharp decline in surface fires and a period of abundant tree establishment. In the absence of repeat surface fires, many red pine sites have shifted in composition, increased in stem density, and grown vulnerable to forest‐type conversion through future high‐severity fire. These results highlight the need for active fire reintroduction to red pine forests of the Great Lakes Region and underscore the importance of collaboration and guidance from Indigenous Knowledge Keepers in this process. A blended knowledge approach to fire restoration that directly engages with Indigenous perspectives and cultural practices can perpetuate the distinctive character of the largest remaining tracts of long‐lived pine forest in the Great Lakes Region. Carefully developed fire restoration practices would enhance the visitor use experience within one of the most frequently visited wilderness areas in the United States while re‐engaging directly with Indigenous knowledge and traditional cultural practices.

Data-Driven Analysis of Forest–Climate Interactions in the Conterminous United States

A predictive understanding of interactions between vegetation and climate has been a grand challenge in terrestrial ecology for over 200 years. Developed in recent decades, continental-scale monitoring of climate and forest dynamics enables quantitative examination of vegetation–climate relationships through a data-driven paradigm. Here, we apply a data-intensive approach to investigate forest–climate interactions across the conterminous USA. We apply multivariate statistical methods (stepwise regression, principal component analysis) including machine learning to infer significant climatic drivers of standing forest basal area. We focus our analysis on the ecoregional scale. For most ecoregions analyzed, both stepwise regression and random forests indicate that factors related to precipitation are the most significant predictors of forest basal area. In almost half of US ecoregions, precipitation of the coldest quarter is the single most important driver of basal area. The demonstrated data-driven approach may be used to inform forest-climate envelope modeling and the forecasting of large-scale forest dynamics under climate change scenarios. These results have important implications for climate, biodiversity, industrial forestry, and indigenous communities in a changing world.

Contrasting Gymnosperm Diversity Across an Elevation Gradient in the Ecoregion of China: The Role of Temperature and Productivity

The species richness–climate relationship is a significant concept in determining the richness patterns and predicting the cause of its distribution. The distribution range of species and climatic variables along elevation have been used in evaluating the elevational diversity gradients (EDG). However, the species richness of gymnosperms along elevation and its driving factors in large geographic areas are still unknown. Here, we aimed at evaluating the EDG of gymnosperms in the ecoregions of China. We divided the geographical region of China into 34 ecoregions and determine the richness pattern of gymnosperm taxa along elevation gradients. We demonstrated the richness patterns of the 237-gymnosperm (219 threatened, 112 endemic, 189 trees, and 48 shrubs) taxa, roughly distributed between 0 and 5,300 m (above sea level) in China. As possible determinants of richness patterns, annual mean temperature (TEMP), annual precipitation (PPT), potential evapotranspiration (PET), net primary productivity (SNPP), aridity index (AI), temperature seasonality (TS), and precipitation seasonality (PS) are the major predictor variables driving the EDG in plants. We used the species interpolation method to determine the species richness at each elevation band. To evaluate the richness pattern of gymnosperms in an ecoregion, generalized additive modeling and structural equation modeling were performed. The ecoregions in the southern part of China are rich in gymnosperm species, where three distinct richness patterns—(i) hump-shaped, (ii) monotonic increase, and (iii) monotonic decline—were noticed in China. All climatic variables have a significant effect on the richness pattern of gymnosperms; however, TEMP, SNPP, TS, and PS explained the highest deviance in diversity-rich ecoregions of China. Our results suggests that the highest number of gymnosperms species was found in the southwestern and Taiwan regions of China distributed at the 1,600- and 2,800-m elevation bands. These regions could be under severe stress in the near future due to expected changes in precipitation pattern and increase of temperature due to climate change. Thus, our study provided evidence of the species–climate relationship that can support the understanding of future conservation planning of gymnosperms.

The European Beech Annual Tree Ring Widths Time Series, Solar–Climatic Relationships and Solar Dynamo Regime Changes

In this study, the results from the analysis of annual ring widths (‘Dm’) time series of two “very sensitive” to the climate and solar–climate relationships of long lived European beech (Fagus sylvatica) samples (on age of 209 ± 1 and 245 ± 5 years correspondingly) are discussed. Both series are characterized by very good expressed and relating to the solar magnetic Hale cycle 20–22-year oscillations. A good coincidence between the changes of ‘Dm’ and the growth or fading of the solar magnetic cycle is found. The transition effects at the beginning and ending of the grand Dalton (1793–1833) and Gleissberg minima (1898–1933) are very clearly visible in the annual tree ring width data for the one of beech samples. Some of these effects are also detected in the second sample. The problem for the possible “lost” sunspot cycle at the end of 18th century is also discussed. A prediction for a possible “phase catastrophe” during the future Zurich sunspot cycles 26 and 27 between 2035–2040 AD as well as for general precipitation upward and temperature fall tendencies in Central Bulgaria, more essential after 2030 AD, are brought forth.

Seasonal pattern of stem radial growth of Salix matsudana and its response to climatic and soil factors in a semi-arid area of North China

Salix matsudana is an important tree species for shelterbelt and barren hill afforestation in North China. Knowledge of the seasonal pattern of the stem radial growth (SRG) of S. matsudana and its response to environmental factors is crucial for understanding the tree growth and climate relationships in the increasingly warm and dry climate of North China. To this end, a field trial was conducted in a semi-arid area of North China, and the stem radial dynamics of eight sample trees at two sites (four trees per site) with different soil moisture regimes, as well as the meteorological and edaphic conditions, were monitored from May to October in 2016 and 2019. During the growing season, the daily mean air temperature was 1.69 °C higher in 2019 than in 2016, and the total precipitation was 179.2 mm lower in 2019 than in 2016. The results showed that the seasonal pattern of S. matsudana SRG was divided into the initial stage (stage 1), the rapid growth stage (stage 2), and ending stage (stage 3) in terms of the threshold of 0.02 mm day−1 (daily growth rate). The initiation of stage 2 in 2019 (day of year (DOY) 126) was 48 days earlier than that in 2016 (DOY 174). However, the date on which the maximum growth rate was reached occurred also 34 days earlier, indicating the co-occurrence of the positive effect of the higher temperature in 2019 than in 2016 on growth initiation in stage 1 as well as the negative consequences of the water deficit on tree growth in stage 2. Higher cumulative growth of S. matsudana at the high soil moisture site was monitored relative to the low soil moisture site throughout the trial, which could be attributed to differences in soil moisture and the initial stem size of the trees in 2016 and 2019, respectively. Temperature and soil moisture were the main factors restricting daily SRG, but the growth of S. matsudana subjected to prolonged summer water stress would be less significantly limited by soil moisture in stage 3. These results showed that the seasonal pattern of SRG of S. matsudana was closely related to the dynamics of the soil and climatic factors. Therefore, seasonal variation in growth-limiting factors should be considered when forecasting tree growth in response to climate change in North China.

Vegetation responses to climate change in the Qilian Mountain Nature Reserve, Northwest China

Understanding the dynamics of vegetation responses to climate change can provide important information for environmental management. The Qilian Mountain Nature Reserve in Northwest China, a high-altitude mountainous region that is of critical ecological importance, has been affected by drastic climate change. However, the response of vegetation to climate change in this area has not been established. This study aims to address three unanswered questions. First, what is the relative importance of temperature and precipitation change in driving regional vegetation change? Second, how does this vegetation–climate relationship manifest itself across different timescales (e.g., seasonal)? Third, what is the spatial heterogeneity of the vegetation–climate relationship? Based on MODIS data and daily meteorological data from 41 stations within and adjacent to the reserve, we used Ensemble Empirical Mode Decomposition (EEMD), Theil-Sen median trend analysis, the Mann-Kendall nonparametric test, and Pearson correlation analysis to study the evolution of temperature, precipitation, and the normalized difference vegetation index (NDVI). The key results are as follows: (1) during 1985–2019, the temperature in the reserve has increased by an average of 0.048 ℃/a, with the largest average annual increases occurring in spring (0.069 ℃) and summer (0.056 ℃); (2) during the same period, precipitation in the reserve increased by an average of 1.17 mm/a, with the largest annual increases occurring in autumn (0.669 mm) and summer (0.545 mm); (3) during 2001–2019, the NDVI increased by an average of 0.004/a; an average annual increase was experienced in all seasons, although the largest increase occurred in summer; (4) there is a statistically significant positive correlation (0.619) between the NDVI and temperature at the annual scale; (5) in contrast, the correlation between the NDVI and precipitation is weaker and not statistically significant (0.368), which indicates that temperature is the dominant factor affecting vegetation changes in the reserve; (6) there exist seasonal differences in the vegetation–climate relationship. The positive correlation between NDVI and temperature is strongest in spring whereas the positive correlation between NDVI and precipitation is strongest in summer; (7) the vegetation–climate relations demonstrate a degree of spatial heterogeneity driven by variability in climate factors and ecosystems. The value of this research is that it analyzes the response characteristics of vegetation to climate change using multiple methods and at multiple scales, providing a useful reference for understanding vegetation changes and their response to climate change in high-altitude mountain regions.

Multispecies integrated population model reveals bottom‐up dynamics in a seabird predator–prey system

AbstractAssessing the effects of climate and interspecific relationships on communities is challenging because of the complex interplay between species population dynamics, their interactions, and the need to integrate information across several biological levels (individuals, populations, communities). Usually used to quantify single‐species demography, integrated population models (IPMs) have recently been extended to communities. These models allow fitting multispecies matrix models to data from multiple sources while simultaneously accounting for uncertainty in each data source. We used multispecies IPMs accommodating climatic variables to quantify the relative contribution of climate vs. interspecific interactions on demographic parameters, such as survival and breeding success, in the dynamics of a predator–prey system. We considered a stage‐structured predator–prey system combining 22 yr of capture–recapture data and population counts of two seabirds, the Brown Skua (Catharacta lönnbergi) and its main prey the Blue Petrel (Halobaena caerulea), both breeding on the Kerguelen Islands in the Southern Ocean. Our results showed that climate and predator–prey interactions drive the demography of skuas and petrels in different ways. The breeding success of skuas appeared to be largely driven by the number of petrels and to a lesser extent by intraspecific density dependence. In contrast, there was no evidence of predation effects on the demographic parameters of petrels, which were affected by oceanographic factors. We conclude that bottom‐up mechanisms are the main drivers of this skua–petrel system.

Campus Climate and the Sexual Assault Victimization of LGBQ College Students

ABSTRACT Sexual minority college students are disproportionately impacted by sexual assault in college, however, there is a paucity of research exploring the role of the college environment in victimization. This study explores the relationship of campus climate with sexual assault victimization for these students. This sample included 1,110 current college students in the United States who identified as a sexual minority. Logistic regression results indicated that the more observations of harassment and discrimination of sexual minority students by participants, the more likely they were to experience sexual assault victimization in college. Also, the more out a participant was on campus, and the stronger sense of belonging they had to their college, the less likely they were to experience sexual assault victimization. Sexual assault prevention efforts on college campuses would benefit from programming and policies that support belonging and address discrimination and harassment.

Climate reconstructions based on GDGT and pollen surface datasets from Mongolia and Baikal area: calibrations and applicability to extremely cold–dry environments over the Late Holocene

Abstract. Our understanding of climate and vegetation changes throughout the Holocene is hampered by representativeness in sedimentary archives. Potential biases such as production and preservation of the markers are identified by comparing these proxies with modern environments. It is important to conduct multi-proxy studies and robust calibrations on each terrestrial biome. These calibrations use large databases dominated by forest samples. Therefore, including data from steppe and desert–steppe sites becomes necessary to better calibrate arid environments. The Mongolian Plateau, ranging from the Baikal area to the Gobi desert, is especially characterized by low annual precipitation and continental annual air temperature. The characterization of the climate system of this area is crucial for the understanding of Holocene monsoon oscillations. This study focuses on the calibration of proxy–climate relationships for pollen and glycerol dialkyl glycerol tetraethers (GDGTs) by comparing large Eurasian calibrations with a set of 49 new surface samples (moss polster, soil and mud from temporary dry ponds). These calibrations are then cross-validated by an independent dataset of top-core samples and applied to four Late Holocene paleosequences (two brGDGT and two pollen records) surrounding the Mongolian Plateau: in the Altai mountains, the Baikal area and the Qaidam basin, to test the accuracy of local and global calibrations. We show that (1) preserved pollen assemblages are clearly imprinted on the extremities of the ecosystem range but mitigated and unclear on the ecotones; (2) for both proxies, inferred relationships depend on the geographical range covered by the calibration database as well as on the nature of samples; (3) even if local calibrations suffer from reduced amplitude of climatic parameters due to local homogeneity, they better reflect actual climate than the global ones by reducing the limits for saturation impact; (4) a bias in climatic reconstructions is induced by the over-parameterization of the models by the addition of artificial correlation; and (5) paleoclimate values reconstructed here are consistent with Mongolia–China Late Holocene climate trends and validate the application of local calibrations for both pollen and GDGTs (closest fit to actual values and realistic paleoclimate amplitude). We encourage the application of this surface calibration method to reconstruct paleoclimate and especially consolidate our understanding of the Holocene climate and environment variations in arid central Asia.

Functional biogeography of Neotropical moist forests: Trait–climate relationships and assembly patterns of tree communities

AbstractAimHere we examine the functional profile of regional tree species pools across the latitudinal distribution of Neotropical moist forests, and test trait–climate relationships among local communities. We expected opportunistic strategies (acquisitive traits, small seeds) to be overrepresented in species pools further from the equator, but also in terms of abundance in local communities in currently wetter, warmer and more seasonal climates.LocationNeotropics.Time periodRecent.Major taxa studiedTrees.MethodsWe obtained abundance data from 471 plots across nine Neotropical regions, including c. 100,000 trees of 3,417 species, in addition to six functional traits. We compared occurrence‐based trait distributions among regional species pools, and evaluated single trait–climate relationships across local communities using community abundance‐weighted means (CWMs). Multivariate trait–climate relationships were assessed by a double‐constrained correspondence analysis that tests both how CWMs relate to climate and how species distributions, parameterized by niche centroids in climate space, relate to their traits.ResultsRegional species pools were undistinguished in functional terms, but opportunistic strategies dominated local communities further from the equator, particularly in the Northern Hemisphere. Climate explained up to 57% of the variation in CWM traits, with increasing prevalence of lower‐statured, light‐wooded and softer‐leaved species bearing smaller seeds in more seasonal, wetter and warmer climates. Species distributions were significantly but weakly related to functional traits.Main conclusionsNeotropical moist forest regions share similar sets of functional strategies, from which local assembly processes, driven by current climatic conditions, select for species with different functional strategies. We can thus expect functional responses to climate change driven by changes in relative abundances of species already present regionally. Particularly, equatorial forests holding the most conservative traits and large seeds are likely to experience the most severe changes if climate change triggers the proliferation of opportunistic tree species.

Different climate sensitivity of particulate and mineral-associated soil organic matter

Soil carbon sequestration is seen as an effective means to draw down atmospheric CO2, but at the same time warming may accelerate the loss of extant soil carbon, so an accurate estimation of soil carbon stocks and their vulnerability to climate change is required. Here we demonstrate how separating soil carbon into particulate and mineral-associated organic matter (POM and MAOM, respectively) aids in the understanding of its vulnerability to climate change and identification of carbon sequestration strategies. By coupling European-wide databases with soil organic matter physical fractionation, we assessed the current geographical distribution of mineral topsoil carbon in POM and MAOM by land cover using a machine-learning approach. Further, using observed climate relationships, we projected the vulnerability of carbon in POM and MAOM to future climate change. Arable and coniferous forest soils contain the largest and most vulnerable carbon stocks when cumulated at the European scale. Although we show a lower carbon loss from mineral topsoils with climate change (2.5 ± 1.2 PgC by 2080) than those in some previous predictions, we urge the implementation of coniferous forest management practices that increase plant inputs to soils to offset POM losses, and the adoption of best management practices to avert the loss of and to build up both POM and MAOM in arable soils. Particulate and mineral-associated soil organic carbon have different climate sensitivity and distributions in Europe, according to analyses of measurements of soil carbon fractions from 352 topsoils.

High-altitude tree growth responses to climate change across the Hindu Kush Himalaya

AbstractAimsRapid warming at high altitudes may lead to a higher sensitivity in tree growth to temperature. The key factors constraining tree radial growth and to what extent regional tree growth has suffered from climatic changes are unclear.MethodsTree-ring width data were collected from 73 sites across the Hindu Kush Himalaya (HKH), including three dominant genera (Abies, Juniperus and Picea) at high altitudes over 3000 m. Dynamic time warping was introduced to develop subregional chronologies by considering the synchrony of annual tree growth among different sites. We quantified the contribution of the climate variables, and analyzed the spatiotemporal variation of the growth–climate relationship.Important FindingsThe site chronologies were grouped into three clusters, corresponding to the three distinct bioclimatic zones, i.e. the western HKH, central-eastern HKH and southeastern Tibetan Plateau (TP). Tree growth was positively correlated to winter and spring precipitation in the drier western HKH, and to winter temperature and spring precipitation in the humid southeastern TP. Tree growth was markedly constrained by the minimum temperature, especially in winter, with its importance increasing from the west toward the east. As shown by moving correlation analysis, the signal of winter temperature in tree growth was weakened in the western and central-eastern HKH, while it was enhanced in the southeastern TP following rapid warming since the 1980s. Our results highlight that continuous warming may cause forest recession due to warming-induced moisture deficit in the western HKH, but forest expansion in the southeastern TP.

Organizational Climate and Job Performance: Investigating the Mediating Role of Harmonious Work Passion and the Moderating Role of Leader–Member Exchange and Coaching

Organizational performance has made it imperative for rural and community bank management to employ the best organizational conditions that influence employee’s performance. Recent banking clean-up in Ghana has also emphasized the need for employees’ performance. This has become necessary to espouse management practices, employee behaviors, and attitudes that predict job performance. Drawing on social exchange theory and reciprocity norm, the study examines the effect of organizational climate on job performance. Valid responses received through a structured questionnaire were 431. Hierarchical multiple regression was employed to validate the hypotheses from the literature review. Relying on empirical data from Ghana, the findings revealed that, first, harmonious work passion partially mediated organizational climate and job performance relationship. Second, leader–member exchange negatively moderated the relationship between organizational climate and harmonious work passion. Finally, however, coaching as a management practice positively strengthened organizational climate and job performance relationship. The theoretical and practical contribution is also discussed.

Estimating Ecological Responses to Climatic Variability on Reclaimed and Unmined Lands Using Enhanced Vegetation Index

Climatic impact on re-established ecosystems at reclaimed mined lands may have changed. However, little knowledge is available about the difference in vegetation–climate relationships between reclaimed and unmined lands. In this study, ecological responses to climatic variability on reclaimed and neighbouring unmined lands were estimated using remote-sensing data at the Pingshuo Mega coal mine, one of the largest coal mines with long-term reclamation history in China. Time-series MODIS enhanced vegetation index (EVI) data and meteorological data from 1997 to 2017 were collected. Results show significantly different vegetation–climate relationships between reclaimed and unmined lands. First, the accumulation periods of all climatic variables were much longer on reclaimed mining lands. Second, vegetation on reclaimed lands responded to variabilities in temperature, rainfall, air humidity, and wind speed, while undisturbed vegetation only responded to variabilities of temperature and air humidity. Third, climatic variability made a much higher contribution to EVI variation on reclaimed land (20.0–46.5%) than on unmined land (0.7–1.7%). These differences were primarily caused by limited ecosystem resilience, and changed site hydrology and microclimate on reclaimed land. Thus, this study demonstrates that the legacy effects of surface mining can critically change on-site vegetation–climate relationships, which impacts the structure, functions, and stability of reclaimed ecosystems. Vegetation–climate relationships of reclaimed ecosystems deserve further research, and remote-sensing vegetation data are an effective source for relevant studies.

Accumulated Heating and Chilling Are Important Drivers of Forest Phenology and Productivity in the Algonquin-to-Adirondacks Conservation Corridor of Eastern North America

Research Highlights: Forest phenology and productivity were responsive to seasonal heating and chilling accumulation, but responses differed across the temperature range. Background and Objectives: Temperate forests have responded to recent climate change worldwide, but the pattern and magnitude of response have varied, necessitating additional studies at higher spatial and temporal resolutions. We investigated climatic drivers of inter-annual variation in forest phenology and productivity across the Algonquin-to-Adirondacks (A2A) conservation corridor of eastern North America. Methods: We used remotely sensed indices from the AVHRR sensor series and a suite of gridded climate data from the Daymet database spanning from 1989–2014. We used random forest regression to characterize forest–climate relationships between forest growth indices and climatological variables. Results: A large portion of the annual variation in phenology and productivity was explained by climate (pR2 > 80%), with variation largely driven by accumulated heating and chilling degree days. Only very minor relationships with precipitation-related variables were evident. Conclusions: Our results indicate that anthropogenic climate change in the A2A has not yet reached the point of triggering widespread changes in forest phenology and productivity, but the sensitivity of forest growth to inter-annual variation in seasonal temperature accumulation suggests that more temperate forest area will be affected by climate change as warming continues.

Functional biogeography of weeds reveals how anthropogenic management blurs trait–climate relationships

AbstractQuestionsStudies in functional biogeography have mostly focused on unmanaged ecosystems, and neglected testing how management intensity affects community‐level response of plant traits to bioclimatic gradients. We hypothesize that trait–climate relationships for arable weeds spontaneously establishing in croplands subject to intensive management should differ from the relationships characterizing less intensively managed grassland ecosystems.LocationFrance.MethodsWe computed community‐weighted means (CWM) and variances (CWV) of 954 and 5,619 cropland and grassland plant assemblages, respectively, for three fundamental leaf traits (specific leaf area, SLA; leaf dry matter content, LDMC; leaf nitrogen content, LNC). Based on growing season length accounting for both temperature and soil water limitations (GSLtw), we compared trait–climate relationships between herbicide‐free croplands and grasslands, and between herbicide‐free and herbicide‐sprayed cropland assemblages. The contribution of beta‐diversity to the trait–climate relationships was then evaluated using multiple regression on distance matrices.ResultsDistinct trait–climate relationships characterized herbicide‐free cropland and grassland plant assemblages. CWM of all traits showed weaker relations with GSLtw in cropland relative to grassland assemblages. CWV of LDMC and LNC responded more sharply in croplands. Furthermore, no herbicide effect on trait–climate relationships was detected within cropland assemblages. These results seem to be explained by a greater taxonomic beta‐diversity along the GSLtw gradient for grasslands.ConclusionsSpecific trait–environment relationships characterize croplands, underlining that management intensity greatly affects trait–climate relationships for plant assemblages. Deciphering the interplay between land use intensification and climate is critical to accurately forecast functional vegetation changes in response to global changes, and hence to foster actions enhancing ecosystem resilience.

School Climate: Its Impact on Teachers’ Commitment and School Performance

The aims of this study were to determine the perceptions of school climate, teachers’ commitment and school performance held by principals, teachers and parents and the relationship among these variables. Thirty elementary schools of the third congressional district of Bohol consisting of 200 teachers, 30 principals and 60 parents who were randomly sampled took part in the study. The teachers and parents completed two survey instruments: Organizational Health Inventory for elementary schools (OHI-E) from Hoy and Tarter to examine school climate and Organizational Commitment Questionnaire (OCQ)from Celep to test teachers’ commitment, while the principals were made to answer an additional questionnaire that solicits data regarding the school performance. With the school as the unit of analysis, the OHI-E outlined and measured five elements related to school climate (teacher affiliation, institutional integrity, collegial leadership, resource influence and academic influence). Those five were the independent variables used for the study. The dependent variables were the teachers’ commitment with regard to the commitment to school, teaching profession, pupils and work group; and school performance measured by graduation, retention, promotion, participation, repetition, failure, drop-out rates and the National Achievement Test Result. Data were analyzed using frequency count and simple percentage calculation. Weighted mean score was used to assess the level of school climate, teachers’ commitment and school performance. Furthermore, parametric test like Pearson Product-Moment Correlation (rxy) was used to determine the degree of relationship between school climate and the teachers’ commitment; while Spearman Rank Correlation (rs) was used to determine the relationship of school climate and school performance. Results indicated that school climate is related to teachers’ commitment and school performance. These findings have significant implications for the implementation of change in schools, motivation, productivity, well-being, and learner achievement.

Annual aboveground carbon uptake enhancements from assisted gene flow in boreal black spruce forests are not long-lasting

Assisted gene flow between populations has been proposed as an adaptive forest management strategy that could contribute to the sequestration of carbon. Here we provide an assessment of the mitigation potential of assisted gene flow in 46 populations of the widespread boreal conifer Picea mariana, grown in two 42-year-old common garden experiments and established in contrasting Canadian boreal regions. We use a dendroecological approach taking into account phylogeographic structure to retrospectively analyse population phenotypic variability in annual aboveground net primary productivity (NPP). We compare population NPP phenotypes to detect signals of adaptive variation and/or the presence of phenotypic clines across tree lifespans, and assess genotype‐by‐environment interactions by evaluating climate and NPP relationships. Our results show a positive effect of assisted gene flow for a period of approximately 15 years following planting, after which there was little to no effect. Although not long lasting, well-informed assisted gene flow could accelerate the transition from carbon source to carbon sink after disturbance.

Effects of postfire climate and seed availability on postfire conifer regeneration.

Large, severe fires are becoming more frequent in many forest types across the western United States and have resulted in tree mortality across tens of thousands of hectares. Conifer regeneration in these areas is limited because seeds must travel long distances to reach the interior of large burned patches and establishment is jeopardized by increasingly hot and dry conditions. To better inform postfire management in low elevation forests of California, USA, we collected 5-yr postfire recovery data from 1,234 study plots in 19 wildfires that burned from 2004-2012 and 18yrs of seed production data from 216 seed fall traps (1999-2017). We used these data in conjunction with spatially extensive climate, topography, forest composition, and burn severity surfaces to construct taxon-specific, spatially explicit models of conifer regeneration that incorporate climate conditions and seed availability during postfire recovery windows. We found that after accounting for other predictors both postfire and historical precipitation were strong predictors of regeneration, suggesting that both direct effects of postfire moisture conditions and biological inertia from historical climate may play a role in regeneration. Alternatively, postfire regeneration may simply be driven by postfire climate and apparent relationships with historical climate could be spurious. The estimated sensitivity of regeneration to postfire seed availability was strongest in firs and all conifers combined and weaker in pines. Seed production exhibited high temporal variability with seed production varying by over two orders of magnitude among years. Our models indicate that during droughts postfire conifer regeneration declines most substantially in low-to-moderate elevation forests. These findings enhance our mechanistic understanding of forecasted and historically documented shifts in the distribution of trees.