Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Conservation of Declining Populations02:07

Conservation of Declining Populations

12.4K
Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
12.4K
Limits to Natural Selection01:38

Limits to Natural Selection

33.8K
Organisms that are well-adapted to their environment are more likely to survive and reproduce. However, natural selection does not lead to perfectly adapted organisms. Several factors constrain natural selection.
33.8K
Conservation of Small Populations02:04

Conservation of Small Populations

16.5K
Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
16.5K
Population Growth00:57

Population Growth

27.7K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
27.7K
Habitat Fragmentation02:31

Habitat Fragmentation

20.8K
Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition.
20.8K
Frequency-dependent Selection01:21

Frequency-dependent Selection

22.9K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
22.9K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Mammals tolerate harmless human presence: Lessons from COVID-19 lockdown on Barro Colorado Island, Panamá.

Scientific reports·2026
Same author

Simultaneous Automated Insect Monitoring Across a Remote Tropical Elevation Gradient With Mothbox.

Integrative and comparative biology·2026
Same author

Initial tree census for the Paint Rock Forest Dynamics Plot, Alabama, USA.

Ecology·2026
Same author

Large-Scale Forest Restoration Accompanied by Biodiversity Recovery in Costa Rica's Redistributive Payment for Ecosystem Service Program.

Global change biology·2026
Same author

Non-Native Plants Alter Bird-Plant Frugivory Network Structure in a Human-Modified Tropical Landscape.

Ecology and evolution·2025
Same author

Integrating belowground recovery into tropical forest restoration design and monitoring.

Bioscience·2025

関連する実験動画

Updated: Dec 24, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.6K

熱帯雨林の動態を予測する人口的トレードオフ

Nadja Rüger1,2,3, Richard Condit4,5, Daisy H Dent3,6

  • 1German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany. nadja.rueger@idiv.de.

Science (New York, N.Y.)
|April 11, 2020
PubMed
まとめ

熱帯雨林の変化を予測するには 先進的なモデルが必要です 研究者は何百もの樹種を 機能的な5つのグループに分け 森林の動態と人間の活動による影響を 正確に予測しました

さらに関連する動画

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities
10:14

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Published on: October 25, 2024

4.3K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

1.3K

関連する実験動画

Last Updated: Dec 24, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.6K
Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities
10:14

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Published on: October 25, 2024

4.3K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

1.3K

科学分野:

  • エコロジー
  • 林業
  • コンピュータ生物学

背景:

  • 熱帯雨林の動態を正確に予測することは,持続可能な管理に不可欠です.
  • 現存するモデルでは 膨大な量の熱帯樹の 生命史データを 利用するのに苦労しています
  • 予測能力は,種のデータの可用性よりもモデル化アプローチによって制限されています.

研究 の 目的:

  • 多様な熱帯雨林の動態を予測するための効率的かつ正確な方法を開発する.
  • 簡素化された機能グループアプローチで 複雑な熱帯の木の多様性を表現できるかどうかをテストする.
  • 熱帯雨林の生態系に対する人為的な影響の予測を改善する.

主な方法:

  • 森林の継承をシミュレートするために人口学的森林モデルを使用しました.
  • 機能的グループを5つしか使わずに何百もの熱帯樹種を代表した.
  • 2つの重要なトレードオフを組み込みました 成長-生存と身長-採用です

主要な成果:

  • このモデルは,新熱帯森林の継承過程における基礎面積と組成の変化を正確に予測した.
  • 機能群を用いた種多様性の簡素化された表現は効果的であることが示された.
  • 森林に及ぼす人間の影響の予測を 強化しています

結論:

  • 熱帯の木の多様性を 機能的なグループに分割することは 森林の正確なモデル化のための 実行可能な戦略です
  • このアプローチは,高種の多様性を扱う伝統的なモデルの限界を克服します.
  • この枠組みは,人為的な影響を評価し,保全戦略を策定するための強力なツールです.