MaxEnt Modelling and Impact of Climate Change on Habitat Suitability Variations of Economically Important Chilgoza Pine (Pinus gerardiana Wall.) in South Asia

Forests, Год журнала: 2022, Номер 13(5), С. 715 - 715

Опубликована: Май 2, 2022

Chilgoza pine is an economically and ecologically important evergreen coniferous tree species of the dry rocky temperate zone, a native south Asia. This rated as near threatened (NT) by International Union for Conservation Nature (IUCN). study hypothesized that climatic, soil topographic variations strongly influence distribution pattern potential habitat suitability prediction pine. Accordingly, this was aimed to document under varying environmental scenarios using 37 different variables. The maximum entropy (MaxEnt) algorithm in MaxEnt software used forecast current future (i.e., 2050s 2070s) climate change Shared Socio-economic Pathways (SSPs): 245 585). A total 238 occurrence records were collected from Afghanistan, Pakistan India, employed build predictive model. results showed normalized difference vegetation index, mean temperature coldest quarter, isothermality, precipitation driest month volumetric fraction coarse fragments (>2 mm) leading predictors presence prediction. High accuracy values (>0.9) predicted models recorded, remarkable shrinkage potentially suitable followed India China. estimated extent (EOO) about 84,938 km2, area occupancy (AOO) 888 with 54 major sub-populations. concluded that, scenario (138,782 km2) reasonably higher than existing EOO, might represent case continuous range contraction. Hence, outcomes research can be conservation management plans accordingly valuable region.

Язык: Английский

---

Comparison between optimized MaxEnt and random forest modeling in predicting potential distribution: A case study with Quasipaa boulengeri in China

The Science of The Total Environment, Год журнала: 2022, Номер 842, С. 156867 - 156867

Опубликована: Июнь 22, 2022

Язык: Английский

---

Reducing global land-use pressures with seaweed farming

Nature Sustainability, Год журнала: 2023, Номер 6(4), С. 380 - 390

Опубликована: Янв. 26, 2023

Язык: Английский

---

Integrating citizen science and spatial ecology to inform management and conservation of the Italian seahorses

Ecological Informatics, Год журнала: 2023, Номер 79, С. 102402 - 102402

Опубликована: Дек. 1, 2023

Citizen science and spatial ecology analyses can inform species distributions, habitat preferences, threats in elusive endangered such as seahorses. Through a dedicated citizen survey submitted to the Italian diving centers, we collected 115 presence records of two seahorses occurring along coasts: Hippocampus hippocampus H. guttulatus. From this dataset, used 85 seahorse valitaded identify ecological features these poorly known quantify effects human activities on their suitability through geographic information systems distribution modelling. Our results indicated continuous suitable area for both coasts, with single major gap central Adriatic Sea (Emilia-Romagna Marche regions). They co-occurred most range, particularly southern Tyrrhenian niches resulted be significantly similar, although not equivalent. The least-cost paths were concentrated Italy (Apulia, Calabria, Sicily), suggesting that more data is needed improve resolution available information, especially northern Italy. Human influenced 35% 41% guttulatus, respectively, while only 25% 30% potential are protected by Italy's existing conservation system, accordance global average In particular, represents critical where occurrence lower anthropic impact higher. Considering all regions, fishing effort main activity impacting species. These findings will support implementation efficient actions. We encourage application interaction facilitate assessment sustainable management organisms.

Язык: Английский

---

Biodiversity conservation in the context of climate change: Facing challenges and management strategies

The Science of The Total Environment, Год журнала: 2024, Номер 937, С. 173377 - 173377

Опубликована: Май 23, 2024

Язык: Английский

---

Medicinal plants meet modern biodiversity science

Current Biology, Год журнала: 2024, Номер 34(4), С. R158 - R173

Опубликована: Фев. 1, 2024

Plants have been an essential source of human medicine for millennia. In this review, we argue that a holistic, interdisciplinary approach to the study medicinal plants combines methods and insights from three key disciplines - evolutionary ecology, molecular biology/biochemistry, ethnopharmacology is poised facilitate new breakthroughs in science, including pharmacological discoveries rapid advancements health well-being. Such research leverages data spanning space, time, species associated with plant evolution, genomics, metabolomic trait diversity, all which build heavily on traditional Indigenous knowledge. contrasts sharply most well-funded successful during last half-century, which, despite notable advancements, has greatly oversimplified dynamic relationships between humans, kept hidden larger narratives about these relationships, overlooked potentially important into life-saving medicines. We suggest people should be viewed as partners whose relationship involves complicated poorly explored set (socio-)ecological interactions not only domestication but also commensalisms mutualisms. short, are just chemical factories extraction exploitation. Rather, they may symbiotic shaped modern societies, improved health, extended lifespans.

Язык: Английский

---

Predictive mapping of two endemic oak tree species under climate change scenarios in a semiarid region: Range overlap and implications for conservation

Ecological Informatics, Год журнала: 2022, Номер 73, С. 101930 - 101930

Опубликована: Ноя. 25, 2022

Язык: Английский

---

Predicting current and future distributions of Mentha pulegium L. in Tunisia under climate change conditions, using the MaxEnt model

Ecological Informatics, Год журнала: 2021, Номер 68, С. 101533 - 101533

Опубликована: Дек. 18, 2021

Язык: Английский

---

Habitat protection and planning for three Ephedra using the MaxEnt and Marxan models

Ecological Indicators, Год журнала: 2021, Номер 133, С. 108399 - 108399

Опубликована: Дек. 1, 2021

As renowned species for use in sand fixation and traditional Chinese medicines, Ephedra sinica Stapf, intermedia Schrenk ex Mey equisetina Bunge have important ecological medicinal value. However, although conservation measures been implemented, the suitable habitat these has shrinking at a remarkable rate recent years due to climate change anthropogenic activities. The identification of habitats three is essential their protection cultivation. Thus, this study proposed new method planning best through fitting errors caused by single model. modeled current using MaxEnt model evaluated key environmental variables defining distribution based on recorded occurrence data Xinjiang, Inner Mongolia, Gansu, Qinghai. results showed that human activities were most parameter affecting species, land cover, ground frost frequency precipitation accounted an proportion evaluation. Second, obtained with coupled finding from Marxan identify priority areas species. revealed E. mainly concentrated eastern central was relatively distributed southern northern Xinjiang. sinica, intermedia, 38068.12 km2, 26446.74 km2 36360.6 respectively. comprehensive analysis indicated be eliminates introduced each alone. wild should priority, scale artificial planting enlarged. Given results, included our urgently need subjected targeted management ensure renewal communities maintain supply materials. This provides useful reference cultivation Ephedra.

Язык: Английский

---

Identifying climate refugia for high‐elevation Alpine birds under current climate warming predictions

Global Change Biology, Год журнала: 2022, Номер 28(14), С. 4276 - 4291

Опубликована: Апрель 20, 2022

Abstract Identifying climate refugia is key to effective biodiversity conservation under a changing climate, especially for mountain‐specialist species adapted cold conditions and highly threatened by warming. We combined distribution models (SDMs) with forecasts identify high‐elevation bird ( Lagopus muta , Anthus spinoletta Prunella collaris Montifringilla nivalis ) in the European Alps, where ecological effects of changes are particularly evident predicted intensify. considered future (2041–2070) (SSP585 scenario, four models) identified three types refugia: (1) in‐situ potentially suitable both current conditions, ex‐situ (2) only according all or (3) at least out conditions. SDMs were based on very large, high‐resolution occurrence dataset (2901–12,601 independent records each species) collected citizen scientists. fitted using different algorithms, balancing statistical accuracy, realism predictive/extrapolation ability. selected most reliable ones consistency between training testing data extrapolation over distant areas. Future predictions revealed that (with partial exception A. will undergo range contraction towards higher elevations, losing 17%–59% their (larger losses L. ). ~15,000 km 2 Alpine region as species, which 44% currently designated protected areas (PAs; 18%–66% among countries). Our findings highlight usefulness spatially accurate scientists, importance model extrapolating Climate refugia, partly included within PAs system, should be priority sites habitats, habitat degradation/alteration human activities prevented ensure suitability alpine species.

Язык: Английский

---