BioResilience: Biodiversity resilience and ecosystem services in post-conflict socio-ecological systems in Colombia

生物复原力：哥伦比亚冲突后社会生态系统的生物多样性复原力和生态系统服务

基本信息

批准号：
NE/R017980/1
负责人：
Ted Feldpausch
金额：
$ 144.39万
依托单位：
UNIVERSITY OF EXETER
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2018
资助国家：
英国
起止时间：
2018 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=NE%2FR017980%2F1
关键词：
BioResilience Biodiversity resilience ecosystem services

项目摘要

This project will examine the long-term resilience of Colombian forest ecosystems to environmental and climatic changes and improve understanding of the future implications of forest degradation for Colombian society. We focus on forests that are not pristine in that they are used by local communities and are affected by logging and fire. This fills a research gap in understanding how forests, which may be regarded as biologically 'degraded', have undergone changes in biodiversity, in ecosystem services, and in how they participate in local and global cycles of carbon and energy. The project will achieve this by building a network of permanent ecological monitoring plots across gradients of forest environment and degradation to allow evaluation of biodiversity and measurement of processes such as current and historical effects of fire, and carbon storage and changing climate.This data will be integrated with socio-cultural research, focusing on existing cultures of biodiversity conservation. This understanding is essential if the scientific evidence is to be integrated into long-term management plans and policy, as forest degradation in Colombia is strongly associated with changes to the fabric of social life, including the effects of sustained conflict. Participatory research and interviews will also allow the views and perceptions of key stakeholders, especially local communities, to influence our research priorities and outputs from the beginning. This transdisciplinary work is critical to the implementation of international frameworks for biodiversity conservation aimed at reversing the effects of forest degradation. As Colombia emerges from decades of conflict, substantial changes are already occurring in land use, for example in the cultivation of areas that were previously inaccessible due to security issues. Our results will be scalable beyond the focus of Boyaca and Cundinamarca to the Colombian national scale and across the tropics. Tropical forest degradation affects an estimated 500 million ha globally and is an increasingly important driver in the global carbon cycle. However, in Colombia there is little information about change and recovery from degradation; over what time-scales changes occur; what are the major socio-environmental drivers of change; and to which baseline should forests be restored. Due to this high uncertainty, degradation is poorly quantified by climate policy such as Reduced Emissions from Deforestation and Degradation (REDD+) with the result that global CO2 emissions-cuts scenarios may not be sufficiently ambitious and local projects may not benefit from carbon payment schemes. We propose an innovative transdisciplinary methodology that will bring local knowledge, livelihood strategies and priorities into dialogue with multiple biophysical data sources, in order to evaluate change. We will supplement our existing plot data with new field, socio-environmental, and long-term ecological data to create a unique long-term network of degraded forest plots across Boyaca and Cundinamarca, covering variation in types and degrees of degradation (e.g. logged, logged+burned). We will, further, use these data with remote sensing approaches to evaluate the spatiotemporal variation in forests and assess drivers of change across the region to inform policy, conservation, and management. The project will provide critical information to improve climate and vegetation models that can help to assess whether forests and forest associated agriculture (e.g., coffee, cacao) will be resilient in the face of future climatic changes. This information will be used to inform policy recommendations and transformation pathways co-designed with a suite of stakeholders.In summary, this project can transform understanding of the controls on forest biodiversity and ecosystem service, determine ecosystem resilience to climate and disturbance, and support socio-environmental planning for sustainable resource use.

该项目将研究哥伦比亚森林生态系统对环境和气候变化的长期恢复能力，并加深对森林退化对哥伦比亚社会未来影响的了解。我们关注非原始森林，因为它们被当地社区使用并受到伐木和火灾的影响。这填补了了解森林（可能被视为生物“退化”）如何经历生物多样性、生态系统服务以及它们如何参与当地和全球碳和能源循环的变化的研究空白。该项目将通过建立一个横跨森林环境和退化梯度的永久性生态监测网络来实现这一目标，以评估生物多样性并测量火灾当前和历史影响、碳储存和气候变化等过程。这些数据将与社会文化研究相结合，重点关注现有的生物多样性保护文化。如果要将科学证据纳入长期管理计划和政策，这种理解至关重要，因为哥伦比亚的森林退化与社会生活结构的变化密切相关，包括持续冲突的影响。参与性研究和访谈还将使主要利益相关者（尤其是当地社区）的观点和看法从一开始就影响我们的研究重点和产出。这项跨学科工作对于实施旨在扭转森林退化影响的生物多样性保护国际框架至关重要。随着哥伦比亚摆脱数十年的冲突，土地利用已经发生了重大变化，例如在以前因安全问题而无法进入的地区进行了耕种。我们的成果将扩展到博亚卡和昆迪纳马卡以外的哥伦比亚全国范围和整个热带地区。热带森林退化影响了全球约 5 亿公顷的土地，并且是全球碳循环中日益重要的驱动因素。然而，在哥伦比亚，关于变化和从退化中恢复的信息很少；变化发生的时间范围；变革的主要社会环境驱动因素是什么；森林应恢复到何种基线。由于这种高度的不确定性，诸如森林砍伐和退化减少排放（REDD+）等气候政策对退化的量化很差，导致全球二氧化碳减排情景可能不够雄心勃勃，当地项目可能无法从碳支付计划中受益。我们提出了一种创新的跨学科方法，将当地知识、生计策略和优先事项与多个生物物理数据源进行对话，以评估变化。我们将用新的实地、社会环境和长期生态数据来补充现有的地块数据，以创建博亚卡和昆迪纳马卡退化森林地块的独特长期网络，涵盖退化类型和程度的变化（例如采伐、记录+烧毁）。我们将进一步利用这些数据和遥感方法来评估森林的时空变化，并评估整个地区变化的驱动因素，为政策、保护和管理提供信息。该项目将为改善气候和植被模型提供关键信息，帮助评估森林和森林相关农业（例如咖啡、可可）是否能够应对未来的气候变化。这些信息将用于为与一系列利益相关者共同设计的政策建议和转型路径提供信息。总而言之，该项目可以转变对森林生物多样性和生态系统服务控制的理解，确定生态系统对气候和干扰的恢复能力，并支持社会-可持续资源利用的环境规划。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Species Distribution Modelling: Contrasting presence-only models with plot abundance data.

DOI：
10.1038/s41598-017-18927-1
发表时间：
2018-01-17
期刊：
Scientific reports
影响因子：
4.6
作者：
Gomes VHF;IJff SD;Raes N;Amaral IL;Salomão RP;de Souza Coelho L;de Almeida Matos FD;Castilho CV;de Andrade Lima Filho D;López DC;Guevara JE;Magnusson WE;Phillips OL;Wittmann F;de Jesus Veiga Carim M;Martins MP;Irume MV;Sabatier D;Molino JF;Bánki OS;da Silva Guimarães JR;Pitman NCA;Piedade MTF;Mendoza AM;Luize BG;Venticinque EM;de Leão Novo EMM;Vargas PN;Silva TSF;Manzatto AG;Terborgh J;Reis NFC;Montero JC;Casula KR;Marimon BS;Marimon BH;Coronado ENH;Feldpausch TR;Duque A;Zartman CE;Arboleda NC;Killeen TJ;Mostacedo B;Vasquez R;Schöngart J;Assis RL;Medeiros MB;Simon MF;Andrade A;Laurance WF;Camargo JL;Demarchi LO;Laurance SGW;de Sousa Farias E;Nascimento HEM;Revilla JDC;Quaresma A;Costa FRC;Vieira ICG;Cintra BBL;Castellanos H;Brienen R;Stevenson PR;Feitosa Y;Duivenvoorden JF;Aymard C GA;Mogollón HF;Targhetta N;Comiskey JA;Vicentini A;Lopes A;Damasco G;Dávila N;García-Villacorta R;Levis C;Schietti J;Souza P;Emilio T;Alonso A;Neill D;Dallmeier F;Ferreira LV;Araujo-Murakami A;Praia D;do Amaral DD;Carvalho FA;de Souza FC;Feeley K;Arroyo L;Pansonato MP;Gribel R;Villa B;Licona JC;Fine PVA;Cerón C;Baraloto C;Jimenez EM;Stropp J;Engel J;Silveira M;Mora MCP;Petronelli P;Maas P;Thomas-Caesar R;Henkel TW;Daly D;Paredes MR;Baker TR;Fuentes A;Peres CA;Chave J;Pena JLM;Dexter KG;Silman MR;Jørgensen PM;Pennington T;Di Fiore A;Valverde FC;Phillips JF;Rivas-Torres G;von Hildebrand P;van Andel TR;Ruschel AR;Prieto A;Rudas A;Hoffman B;Vela CIA;Barbosa EM;Zent EL;Gonzales GPG;Doza HPD;de Andrade Miranda IP;Guillaumet JL;Pinto LFM;de Matos Bonates LC;Silva N;Gómez RZ;Zent S;Gonzales T;Vos VA;Malhi Y;Oliveira AA;Cano A;Albuquerque BW;Vriesendorp C;Correa DF;Torre EV;van der Heijden G;Ramirez-Angulo H;Ramos JF;Young KR;Rocha M;Nascimento MT;Medina MNU;Tirado M;Wang O;Sierra R;Torres-Lezama A;Mendoza C;Ferreira C;Baider C;Villarroel D;Balslev H;Mesones I;Giraldo LEU;Casas LF;Reategui MAA;Linares-Palomino R;Zagt R;Cárdenas S;Farfan-Rios W;Sampaio AF;Pauletto D;Sandoval EHV;Arevalo FR;Huamantupa-Chuquimaco I;Garcia-Cabrera K;Hernandez L;Gamarra LV;Alexiades MN;Pansini S;Cuenca WP;Milliken W;Ricardo J;Lopez-Gonzalez G;Pos E;Ter Steege H
通讯作者：
Ter Steege H

Quantifying resilience of socio-ecological systems through dynamic Bayesian networks

通过动态贝叶斯网络量化社会生态系统的复原力