Cumulative effects in assessment
Ecological baselines and landscape models show how several projects together affect a habitat or species, which a single project assessment would miss.
GRF · 气候与自然治理
Ecology explains how ecosystems function, change and respond to pressure. In nature governance it gives the evidence behind protected-area design, impact assessment, restoration targets and nature-related disclosure, and it shows where thresholds and cumulative effects make permit-by-permit decisions unreliable.
Ecology studies the interactions among organisms and between organisms and their environment, from populations to ecosystems. It explains how biodiversity loss and ecosystem change alter services such as pollination, water regulation and disease control. In climate and hazards, biodiversity and nature, water and food and agriculture, ecological assessment identifies dependencies of agriculture, water and health on natural 系统. It supports nature-related disclosure and the evaluation of tipping-point risks. The canonical description is on STEM Commons.
Ecological baselines and landscape models show how several projects together affect a habitat or species, which a single project assessment would miss.
Ecoregion and species range data test whether a protected-area network covers the range of ecosystems, beyond its total area.
Indicators of vegetation structure, species composition and function are tracked against reference sites to judge whether restoration meets its stated objectives.
Land cover, vegetation, plant growth and population density over the Andes, from NASA GIBS. Each layer carries its own date.
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图层 4
本页的栖息地状况
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最新可用
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap贡献者 (ODbL) · Natural Earth
正在加载最新的NASA影像。
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生境状况,以安第斯山脉为取景。NASA 发布的卫星和模型产品,各带自己的日期。它们是指标,而非对任何地点的评估。
图层与日期
Datasets and records used by ecology and biodiversity science on this platform, with the role each plays and the label its values carry. Sources are listed in 来源登记册.
| 数据 | 角色 | 标签 |
|---|---|---|
| IUCN Red List assessments | Species extinction risk | 估算 |
| 世界保护区数据库 | Coverage and design | 已发布统计 |
| GBIF species occurrence records | Species distributions | 观测 |
| IPBES 评估 | Drivers and trends | 已报告 |
团队遵循该方法时会使用的界面:其指标、状态与决策。名称为示例,数值仅作示意。
Climate and nature governance · Ecology and biodiversity science · Run R-9951
red: result above guideline
| S-59 | Basin | 3.3 | 9 | 以下 |
| S-37 | 实体 | 4.3 | 8 | 近 |
| S-19 | 实施 | 6.3 | 9 | 近 |
| S-25 | Adaptation | 11.1 | 10 | 以下 |
Predictions are compared with independent survey data and long-term monitoring sites. Experimental manipulations and natural experiments test causal mechanisms.
| 核查 | 如何开展 |
|---|---|
| Baseline quality | Assessments state the age, method and coverage of ecological baselines |
| Reference conditions | Restoration and condition measures are compared with documented reference sites |
| Sampling bias | Occurrence data are checked for collection bias before mapping distributions |
Ecosystems show nonlinear responses and thresholds that are hard to anticipate from past data. Sampling is uneven across regions and taxa.
三类工具在你设定的覆盖率和遵从率下与基线并列比较,每类都有自己的滞后和采用速度;效应大小是教学用数值,应以证据替换。情景:关于未来的具名假设,不是预测。本页地图显示安第斯山脉;模型本身并不绑定某个地点。
控制措施
读数
| 年份 | 基线 | 监管 | 经济激励 | 信息与能力 |
|---|---|---|---|---|
| 0 | 100.0 | 99.5 | 98.8 | 99.1 |
| 1 | 102.0 | 101.2 | 100.1 | 99.8 |
| 2 | 104.0 | 102.5 | 101.1 | 99.9 |
| 3 | 106.1 | 103.5 | 101.6 | 100.0 |
| 4 | 108.2 | 103.7 | 101.8 | 100.7 |
| 5 | 110.4 | 103.2 | 101.7 | 102.1 |
| 6 | 112.6 | 102.0 | 101.6 | 103.9 |
| 7 | 114.9 | 100.4 | 101.6 | 105.9 |
| 8 | 117.2 | 99.2 | 102.1 | 108.0 |
| 9 | 119.5 | 98.6 | 102.9 | 110.1 |
| 10 | 121.9 | 98.9 | 104.2 | 112.3 |
| 11 | 124.3 | 99.7 | 105.7 | 114.5 |
| 12 | 126.8 | 101.1 | 107.4 | 116.8 |
| 13 | 129.4 | 102.7 | 109.4 | 119.2 |
| 14 | 131.9 | 104.5 | 111.4 | 121.6 |
| 15 | 134.6 | 106.5 | 113.5 | 124.0 |
| 16 | 137.3 | 108.5 | 115.7 | 126.5 |
| 17 | 140.0 | 110.7 | 118.0 | 129.0 |
| 18 | 142.8 | 112.9 | 120.4 | 131.6 |
| 19 | 145.7 | 115.1 | 122.8 | 134.2 |
| 20 | 148.6 | 117.4 | 125.2 | 136.9 |
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
贯穿六大支柱,由 Nexus Consortium 牵头
一项文书从授权到评估所经历的步骤,每一步都标明负责运行的支柱,以及仍由当局作出的决定。这是带有明示说明性数值的教学模型,不是预测。本页地图显示的是安第斯山脉;模型本身不限于某一地点。
贯穿六大支柱,由 Nexus Consortium 牵头
Biodiversity Nexus stewards ecology and biodiversity science for the Consortium and reviews how it is applied across platforms.
Assembled from the Nexus Standards area profile 生物多样性与自然风险标准: the hazards it names, the 系统 and communities that carry the loss, the controls and institutions that dampen it and the data that observe it. Pick an initiating event and step through the cascade to see where mandates meet and which decisions fall to whom. The Map view places the run on an example geography with open data. Every weight is a stated assumption. An exercise for dialogue, not a forecast, an assessment or a position. To model a place of your own choosing, open the full System Builder.
灾害
系统与耦合
控制措施
NS-0 章程与原则NS-1 维持社会运转的各个 UNI and the artefact catalogue (grammar v0.2: domain, sector, region and environment segments)NS-3 风险记录 UNI(语法、旧编码对照、分配机构)NS-3b 数据集与产品元数据规范(STAC、DCAT、PROV-O)NS-5 图表、地图和可视化标准(配合 UI/UX 套件)NS-9 情境 UNI(部署、实例、计划实例)NS-11 验证与监测(证据、证明、零信任符合性观测)NRS-N5 生物多样性与自然风险及韧性NRS-H65 危害类别:超越行星边界(NHS-1 planet.boundary)NRS-H27 危害族:生物多样性与物种压力(NHS-1 eco.species)NRS-H26 危害类别:土地与湿地退化(NHS-1 eco.land)NRS-H28 危害类别:气候状态转变(NHS-1 eco.climate-state)NRS-H64 危害类别:生态系统状态突变(NHS-1 eco.regime-shift)观测
示例地理范围
The sectors a policy on ecology and biodiversity science for climate and nature governance has to coordinate: a choice in one ministry lands in the others.
签名
生物多样性及其合作伙伴
生物多样性为粮食提供授粉和土壤(0.6),为水提供流域调节(0.5),为健康带来人畜共患病溢出和药物(0.4)。
W · E · I · F · H · B
政策制定者、外交官或发展机构所使用的文书、授权、行为方和问责安排,并注明设定它们的协定。结构遵循所列框架。所绘制的任何状态或进展均为说明性,并非记录。
The agreements that set mandates and commitments on ecology and biodiversity science for climate and nature governance, from adoption to their current horizon.
报告 is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
切勿发送个人数据、敏感基础设施细节或您无权分享的任何内容。贡献在使用前会经过审查;发送贡献不赋予署名权或编辑权,赞助也绝不能换取研究结论。
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